2025-09-07T07:45:24.8170720Z Current runner version: '2.328.0' 2025-09-07T07:45:24.8176220Z Runner name: 'i-0b7d0f7dc0527ca9b-1002' 2025-09-07T07:45:24.8177043Z Runner group name: 'default' 2025-09-07T07:45:24.8177940Z Machine name: '21c7d56f3067' 2025-09-07T07:45:24.8180691Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T07:45:24.8182808Z Contents: read 2025-09-07T07:45:24.8183400Z Metadata: read 2025-09-07T07:45:24.8183954Z ##[endgroup] 2025-09-07T07:45:24.8186148Z Secret source: Actions 2025-09-07T07:45:24.8187076Z Prepare workflow directory 2025-09-07T07:45:24.8667914Z Prepare all required actions 2025-09-07T07:45:24.8702778Z Getting action download info 2025-09-07T07:45:25.1840912Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T07:45:26.3857016Z Download action repository 'pytorch/pytorch@main' (SHA:ada43ed39c80b746b4822c92640a1882619e2795) 2025-09-07T07:45:44.0994111Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T07:45:44.4393719Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T07:45:44.7626382Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T07:45:45.0241627Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:45:45.3975846Z Getting action download info 2025-09-07T07:45:45.5644819Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T07:45:45.9108571Z Getting action download info 2025-09-07T07:45:46.0348387Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T07:45:46.3215995Z Getting action download info 2025-09-07T07:45:46.4426222Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T07:45:46.7388017Z Getting action download info 2025-09-07T07:45:46.8809305Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:45:46.8813501Z ##[group] Inputs 2025-09-07T07:45:46.8813860Z build-environment: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T07:45:46.8819013Z test-matrix: {"include": [{"config": "inductor_huggingface_perf_cuda_h100", "shard": 1, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 2, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 3, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 4, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 5, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 1, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 2, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 3, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 4, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 5, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 6, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 7, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 1, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 2, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 3, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 4, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 5, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 6, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 7, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 8, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 9, "num_shards": 9, "runner": "linux.aws.h100"}]} 2025-09-07T07:45:46.8824789Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:45:46.8825492Z sync-tag: 2025-09-07T07:45:46.8826295Z timeout-minutes: 1440 2025-09-07T07:45:46.8826526Z use-gha: 2025-09-07T07:45:46.8827416Z dashboard-tag: training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T07:45:46.8828350Z s3-bucket: gha-artifacts 2025-09-07T07:45:46.8828551Z aws-role-to-assume: 2025-09-07T07:45:46.8829073Z disable-monitor: false 2025-09-07T07:45:46.8829318Z monitor-log-interval: 15 2025-09-07T07:45:46.8829538Z monitor-data-collect-interval: 4 2025-09-07T07:45:46.8829776Z ##[endgroup] 2025-09-07T07:45:46.8830117Z Complete job name: test-weekly / test (inductor_torchbench_perf_cuda_h100, 3, 9, linux.aws.h100) 2025-09-07T07:45:46.9299825Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T07:45:46.9300698Z with: 2025-09-07T07:45:46.9301251Z github-secret: *** 2025-09-07T07:45:46.9301816Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T07:45:46.9302377Z activate-with-label: false 2025-09-07T07:45:46.9302597Z label: with-ssh 2025-09-07T07:45:46.9302905Z remove-existing-keys: true 2025-09-07T07:45:46.9303123Z fail-silently: true 2025-09-07T07:45:46.9303556Z env: 2025-09-07T07:45:46.9303748Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:45:46.9303956Z ##[endgroup] 2025-09-07T07:45:47.0375603Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T07:45:47.0376476Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T07:45:47.0575781Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T07:45:47.0576156Z with: 2025-09-07T07:45:47.0576335Z no-sudo: true 2025-09-07T07:45:47.0576511Z submodules: recursive 2025-09-07T07:45:47.0576708Z fetch-depth: 0 2025-09-07T07:45:47.0576883Z env: 2025-09-07T07:45:47.0577041Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:45:47.0577250Z ##[endgroup] 2025-09-07T07:45:47.0651524Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:45:47.0652281Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:45:47.0671854Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:45:47.0672187Z env: 2025-09-07T07:45:47.0672364Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:45:47.0672561Z ##[endgroup] 2025-09-07T07:45:47.0822726Z ##[group]Run actions/checkout@v4 2025-09-07T07:45:47.0822980Z with: 2025-09-07T07:45:47.0823187Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:45:47.0823435Z fetch-depth: 0 2025-09-07T07:45:47.0823620Z submodules: recursive 2025-09-07T07:45:47.0823811Z show-progress: false 2025-09-07T07:45:47.0824015Z repository: pytorch/pytorch 2025-09-07T07:45:47.0824606Z token: *** 2025-09-07T07:45:47.0824803Z ssh-strict: true 2025-09-07T07:45:47.0824992Z ssh-user: git 2025-09-07T07:45:47.0825183Z persist-credentials: true 2025-09-07T07:45:47.0825390Z clean: true 2025-09-07T07:45:47.0825578Z sparse-checkout-cone-mode: true 2025-09-07T07:45:47.0825795Z fetch-tags: false 2025-09-07T07:45:47.0825970Z lfs: false 2025-09-07T07:45:47.0826150Z set-safe-directory: true 2025-09-07T07:45:47.0826342Z env: 2025-09-07T07:45:47.0826498Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:45:47.0826693Z ##[endgroup] 2025-09-07T07:45:47.1786514Z Syncing repository: pytorch/pytorch 2025-09-07T07:45:47.1787734Z ##[group]Getting Git version info 2025-09-07T07:45:47.1788092Z Working directory is '/home/bob/_work/pytorch/pytorch' 2025-09-07T07:45:47.1788565Z [command]/usr/bin/git version 2025-09-07T07:45:47.1788814Z git version 2.50.1 2025-09-07T07:45:47.1810464Z ##[endgroup] 2025-09-07T07:45:47.1821888Z Temporarily overriding HOME='/home/bob/_work/_temp/0ba99ca0-3b66-44aa-8a5d-dc10152c6958' before making global git config changes 2025-09-07T07:45:47.1822587Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:45:47.1826667Z [command]/usr/bin/git config --global --add safe.directory /home/bob/_work/pytorch/pytorch 2025-09-07T07:45:47.1862369Z Deleting the contents of '/home/bob/_work/pytorch/pytorch' 2025-09-07T07:45:47.1865567Z ##[group]Initializing the repository 2025-09-07T07:45:47.1868491Z [command]/usr/bin/git init /home/bob/_work/pytorch/pytorch 2025-09-07T07:45:47.1916049Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T07:45:47.1916545Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T07:45:47.1916984Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T07:45:47.1917302Z hint: 2025-09-07T07:45:47.1917554Z hint: git config --global init.defaultBranch 2025-09-07T07:45:47.1917825Z hint: 2025-09-07T07:45:47.1918086Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T07:45:47.1918536Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T07:45:47.1918884Z hint: 2025-09-07T07:45:47.1919048Z hint: git branch -m 2025-09-07T07:45:47.1919287Z hint: 2025-09-07T07:45:47.1919577Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-09-07T07:45:47.1920048Z Initialized empty Git repository in /home/bob/_work/pytorch/pytorch/.git/ 2025-09-07T07:45:47.1926924Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T07:45:47.1965297Z ##[endgroup] 2025-09-07T07:45:47.1966051Z ##[group]Disabling automatic garbage collection 2025-09-07T07:45:47.1968602Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:45:47.1998405Z ##[endgroup] 2025-09-07T07:45:47.2004373Z ##[group]Setting up auth 2025-09-07T07:45:47.2004784Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:45:47.2034111Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T07:45:47.2284550Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:45:47.2313005Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T07:45:47.2545250Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:45:47.2580025Z ##[endgroup] 2025-09-07T07:45:47.2580602Z ##[group]Fetching the repository 2025-09-07T07:45:47.2587132Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:46:45.0989806Z From https://github.com/pytorch/pytorch 2025-09-07T07:46:45.0990980Z * [new branch] 160583 -> origin/160583 2025-09-07T07:46:45.0992152Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T07:46:45.0992891Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T07:46:45.0993794Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T07:46:45.0994946Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T07:46:45.0995872Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T07:46:45.0996818Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T07:46:45.0997797Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T07:46:45.0998772Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T07:46:45.1002676Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T07:46:45.1003806Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T07:46:45.1004627Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T07:46:45.1005466Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T07:46:45.1006978Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T07:46:45.1008449Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T07:46:45.1011196Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T07:46:45.1012619Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T07:46:45.1014169Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T07:46:45.1015847Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T07:46:45.1017369Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T07:46:45.1018942Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T07:46:45.1020888Z * [new branch] addsimde -> origin/addsimde 2025-09-07T07:46:45.1023318Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T07:46:45.1024922Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T07:46:45.1026438Z * [new branch] adi/test -> origin/adi/test 2025-09-07T07:46:45.1028038Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T07:46:45.1029644Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T07:46:45.1031609Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T07:46:45.1033548Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T07:46:45.1034652Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T07:46:45.1036373Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T07:46:45.1039072Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T07:46:45.1040931Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T07:46:45.1042646Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T07:46:45.1044962Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T07:46:45.1046486Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T07:46:45.1048070Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T07:46:45.1049801Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T07:46:45.1051800Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T07:46:45.1053157Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T07:46:45.1054927Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 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2025-09-07T07:46:46.3492111Z * [new branch] xmfan/ca_fix_polyfills -> origin/xmfan/ca_fix_polyfills 2025-09-07T07:46:46.3493455Z * [new branch] xmfan/ca_jan3 -> origin/xmfan/ca_jan3 2025-09-07T07:46:46.3494951Z * [new branch] xmfan/ca_jun18 -> origin/xmfan/ca_jun18 2025-09-07T07:46:46.3496495Z * [new branch] xmfan/ca_jun24 -> origin/xmfan/ca_jun24 2025-09-07T07:46:46.3497993Z * [new branch] xmfan/ca_mem_base -> origin/xmfan/ca_mem_base 2025-09-07T07:46:46.3499438Z * [new branch] xmfan/ca_mem_fix -> origin/xmfan/ca_mem_fix 2025-09-07T07:46:46.3501300Z * [new branch] xmfan/ca_memory_fix -> origin/xmfan/ca_memory_fix 2025-09-07T07:46:46.3503066Z * [new branch] xmfan/ca_memory_fix_rebased -> origin/xmfan/ca_memory_fix_rebased 2025-09-07T07:46:46.3504593Z * [new branch] xmfan/ca_memory_fix_rebased2 -> origin/xmfan/ca_memory_fix_rebased2 2025-09-07T07:46:46.3506109Z * [new branch] xmfan/ca_move_to_cuda -> origin/xmfan/ca_move_to_cuda 2025-09-07T07:46:46.3507634Z * [new branch] xmfan/ca_nested -> origin/xmfan/ca_nested 2025-09-07T07:46:46.3509224Z * [new branch] xmfan/ca_overhead -> origin/xmfan/ca_overhead 2025-09-07T07:46:46.3510981Z * [new branch] xmfan/ca_overhead_0eba7e5451 -> origin/xmfan/ca_overhead_0eba7e5451 2025-09-07T07:46:46.3512502Z * [new branch] xmfan/ca_scalar -> origin/xmfan/ca_scalar 2025-09-07T07:46:46.3514059Z * [new branch] xmfan/ca_subclass_mem_fix -> origin/xmfan/ca_subclass_mem_fix 2025-09-07T07:46:46.3515562Z * [new branch] xmfan/ca_warm_mem -> origin/xmfan/ca_warm_mem 2025-09-07T07:46:46.3517136Z * [new branch] xmfan/ca_warm_mem_base -> origin/xmfan/ca_warm_mem_base 2025-09-07T07:46:46.3518642Z * [new branch] xmfan/cacu_jun18 -> origin/xmfan/cacu_jun18 2025-09-07T07:46:46.3520164Z * [new branch] xmfan/cacu_jun19 -> origin/xmfan/cacu_jun19 2025-09-07T07:46:46.3521979Z * [new branch] xmfan/cacu_jun4 -> origin/xmfan/cacu_jun4 2025-09-07T07:46:46.3523846Z * [new branch] xmfan/cacu_may27 -> origin/xmfan/cacu_may27 2025-09-07T07:46:46.3525256Z * [new branch] xmfan/disable_duck_shape -> origin/xmfan/disable_duck_shape 2025-09-07T07:46:46.3526819Z * [new branch] xmfan/fca_cpp_node_passthrough -> origin/xmfan/fca_cpp_node_passthrough 2025-09-07T07:46:46.3528336Z * [new branch] xmfan/issue_123374 -> origin/xmfan/issue_123374 2025-09-07T07:46:46.3530103Z * [new branch] xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T07:46:46.3531980Z * [new branch] xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T07:46:46.3533411Z * [new branch] xmfan/segfault_test -> origin/xmfan/segfault_test 2025-09-07T07:46:46.3534951Z * [new branch] xmfan/single_step -> origin/xmfan/single_step 2025-09-07T07:46:46.3536585Z * [new branch] xmfan/sth_0829 -> origin/xmfan/sth_0829 2025-09-07T07:46:46.3538163Z * [new branch] xmfan/test -> origin/xmfan/test 2025-09-07T07:46:46.3540662Z * [new branch] yguo/debug-0226-constexpr -> origin/yguo/debug-0226-constexpr 2025-09-07T07:46:46.3542187Z * [new branch] yguo/new_latest_changes -> origin/yguo/new_latest_changes 2025-09-07T07:46:46.3543936Z * [new branch] yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes 2025-09-07T07:46:46.3545640Z * [new branch] yihan_quantization -> origin/yihan_quantization 2025-09-07T07:46:46.3548025Z * [new branch] yiming/add_jit_trace_benchmark -> origin/yiming/add_jit_trace_benchmark 2025-09-07T07:46:46.3549567Z * [new branch] yiming/add_nativert_benchmark -> origin/yiming/add_nativert_benchmark 2025-09-07T07:46:46.3551197Z * [new branch] yiming/bootcamp -> origin/yiming/bootcamp 2025-09-07T07:46:46.3553422Z * [new branch] zainr/canary-test -> origin/zainr/canary-test 2025-09-07T07:46:46.3555028Z * [new branch] zainr/cleanup-gh-runners -> origin/zainr/cleanup-gh-runners 2025-09-07T07:46:46.3556431Z * [new branch] zainr/git-push-v2 -> origin/zainr/git-push-v2 2025-09-07T07:46:46.3557855Z * [new branch] zainr/pull-migration-c -> origin/zainr/pull-migration-c 2025-09-07T07:46:46.3559411Z * [new branch] zainr/test -> origin/zainr/test 2025-09-07T07:46:46.3561248Z * [new branch] zainr/test2 -> origin/zainr/test2 2025-09-07T07:46:46.3562760Z * [new branch] zainr/unstable -> origin/zainr/unstable 2025-09-07T07:46:46.3564295Z * [new branch] zainr/unstable-xla -> origin/zainr/unstable-xla 2025-09-07T07:46:46.3566167Z * [new branch] zasdfgbnm-patch-3 -> origin/zasdfgbnm-patch-3 2025-09-07T07:46:46.3567870Z * [new branch] zb2p -> origin/zb2p 2025-09-07T07:46:46.3569785Z * [new branch] zero_grad_optimization -> origin/zero_grad_optimization 2025-09-07T07:46:46.3572000Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-09-07T07:46:46.3574690Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-09-07T07:46:46.3577029Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-09-07T07:46:46.3579284Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T07:46:46.3580807Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T07:46:46.3582211Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T07:46:46.3583849Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T07:46:46.3584346Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T07:46:46.3585195Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T07:46:46.3586100Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T07:46:46.3586960Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T07:46:46.3587961Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T07:46:46.3588871Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T07:46:46.3589784Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T07:46:46.3590897Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T07:46:46.3591805Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T07:46:46.3592994Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T07:46:46.3593838Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T07:46:46.3594666Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T07:46:46.3595765Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T07:46:46.3596578Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T07:46:46.3597404Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T07:46:46.3598224Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T07:46:46.3599220Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T07:46:46.3600043Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T07:46:46.3601597Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T07:46:46.3602717Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T07:46:46.3603554Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T07:46:46.3604382Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T07:46:46.3605234Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T07:46:46.3606027Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T07:46:46.3606838Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T07:46:46.3607669Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T07:46:46.3608518Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T07:46:46.3609319Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T07:46:46.3610162Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T07:46:46.3611256Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T07:46:46.3612142Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T07:46:46.3613165Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T07:46:46.3614650Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T07:46:46.3615438Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T07:46:46.3616614Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T07:46:46.3617223Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T07:46:46.3619003Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T07:46:46.3620037Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T07:46:46.3621200Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T07:46:46.3622109Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T07:46:46.3623069Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T07:46:46.3624354Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T07:46:46.3625478Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T07:46:46.3626294Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T07:46:46.3627212Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T07:46:46.3628237Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T07:46:46.3629349Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T07:46:46.3630614Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T07:46:46.3631553Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T07:46:46.3632410Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T07:46:46.3633244Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T07:46:46.3634087Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T07:46:46.3634918Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T07:46:46.3635704Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T07:46:46.3636552Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T07:46:46.3637371Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T07:46:46.3638247Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T07:46:46.3639078Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T07:46:46.3639940Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T07:46:46.3641092Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T07:46:46.3641992Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T07:46:46.3642933Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T07:46:46.3643922Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T07:46:46.3644801Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T07:46:46.3645636Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T07:46:46.3646617Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T07:46:46.3647478Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T07:46:46.3648526Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T07:46:46.3649399Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T07:46:46.3650392Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T07:46:46.3651707Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T07:46:46.3652384Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T07:46:46.3653372Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T07:46:46.3654282Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T07:46:46.3655295Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T07:46:46.3656347Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T07:46:46.3657243Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T07:46:46.3658306Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T07:46:46.3659401Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T07:46:46.3660662Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T07:46:46.3661845Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T07:46:46.3662929Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T07:46:46.3663921Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T07:46:46.3665052Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T07:46:46.3665927Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T07:46:46.3666978Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T07:46:46.3668580Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T07:46:46.3669340Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T07:46:46.3670378Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T07:46:46.3671444Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T07:46:46.3672265Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T07:46:46.3673176Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T07:46:46.3674085Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T07:46:46.3675027Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T07:46:46.3675982Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T07:46:46.3677031Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T07:46:46.3678073Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T07:46:46.3679024Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T07:46:46.3680359Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T07:46:46.3681387Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T07:46:46.3682267Z * [new tag] ciflow/inductor/160928 -> ciflow/inductor/160928 2025-09-07T07:46:46.3683171Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T07:46:46.3684089Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T07:46:46.3685005Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T07:46:46.3686040Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T07:46:46.3686966Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T07:46:46.3688257Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T07:46:46.3689043Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T07:46:46.3689974Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T07:46:46.3691147Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T07:46:46.3692075Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T07:46:46.3693339Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T07:46:46.3694334Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T07:46:46.3695373Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T07:46:46.3696299Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T07:46:46.3697482Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T07:46:46.3698414Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T07:46:46.3699594Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T07:46:46.3700696Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T07:46:46.3701781Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T07:46:46.3702830Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T07:46:46.3703987Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T07:46:46.3704943Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T07:46:46.3705892Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T07:46:46.3706881Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T07:46:46.3707820Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T07:46:46.3709712Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T07:46:46.3710484Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T07:46:46.3711339Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T07:46:46.3712278Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T07:46:46.3713233Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T07:46:46.3714144Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T07:46:46.3715110Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T07:46:46.3716079Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T07:46:46.3717040Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T07:46:46.3717979Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T07:46:46.3718939Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T07:46:46.3720039Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T07:46:46.3721401Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T07:46:46.3722397Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T07:46:46.3723394Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T07:46:46.3724335Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T07:46:46.3725292Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T07:46:46.3726499Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T07:46:46.3727275Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T07:46:46.3728242Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T07:46:46.3729329Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T07:46:46.3730486Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T07:46:46.3731753Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T07:46:46.3732806Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T07:46:46.3733905Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T07:46:46.3734852Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T07:46:46.3735874Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T07:46:46.3736817Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T07:46:46.3737805Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T07:46:46.3738804Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T07:46:46.3739800Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T07:46:46.3740981Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T07:46:46.3742006Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T07:46:46.3743074Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T07:46:46.3744151Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T07:46:46.3745138Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T07:46:46.3746151Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T07:46:46.3747056Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T07:46:46.3748057Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T07:46:46.3749066Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T07:46:46.3750068Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T07:46:46.3751309Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T07:46:46.3752282Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T07:46:46.3753276Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T07:46:46.3754287Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T07:46:46.3755337Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T07:46:46.3756600Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T07:46:46.3757585Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T07:46:46.3758572Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T07:46:46.3759684Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T07:46:46.3760927Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T07:46:46.3762020Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T07:46:46.3763210Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T07:46:46.3764487Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T07:46:46.3765262Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T07:46:46.3766273Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T07:46:46.3767293Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T07:46:46.3768312Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T07:46:46.3769348Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T07:46:46.3770433Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T07:46:46.3771549Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T07:46:46.3772581Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T07:46:46.3773726Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T07:46:46.3774773Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T07:46:46.3775763Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T07:46:46.3776770Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T07:46:46.3777832Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T07:46:46.3778861Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T07:46:46.3779857Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T07:46:46.3781102Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T07:46:46.3782160Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T07:46:46.3783281Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T07:46:46.3784408Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T07:46:46.3785443Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T07:46:46.3786797Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T07:46:46.3787734Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T07:46:46.3788876Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T07:46:46.3790390Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T07:46:46.3791400Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T07:46:46.3792443Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T07:46:46.3793601Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T07:46:46.3794691Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T07:46:46.3795752Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T07:46:46.3796793Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T07:46:46.3797854Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T07:46:46.3798927Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T07:46:46.3800024Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T07:46:46.3801299Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T07:46:46.3802374Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T07:46:46.3803429Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T07:46:46.3804710Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T07:46:46.3805568Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T07:46:46.3806625Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T07:46:46.3807731Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T07:46:46.3808815Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T07:46:46.3809868Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T07:46:46.3811203Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T07:46:46.3812313Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T07:46:46.3813389Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T07:46:46.3814486Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T07:46:46.3815619Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T07:46:46.3816711Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T07:46:46.3817790Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T07:46:46.3818964Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T07:46:46.3820051Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T07:46:46.3821623Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T07:46:46.3822622Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T07:46:46.3824301Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T07:46:46.3825213Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T07:46:46.3826485Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T07:46:46.3827649Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T07:46:46.3828822Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T07:46:46.3829643Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T07:46:46.3830631Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T07:46:46.3831876Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T07:46:46.3832630Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T07:46:46.3833435Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T07:46:46.3834240Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T07:46:46.3835069Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T07:46:46.3835886Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T07:46:46.3837012Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T07:46:46.3850983Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T07:46:46.3851629Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T07:46:46.3852284Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T07:46:46.3852988Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T07:46:46.3853632Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T07:46:46.3854426Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T07:46:46.3854954Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T07:46:46.3855472Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T07:46:46.3855990Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T07:46:46.3856528Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T07:46:46.3857050Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T07:46:46.3857566Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T07:46:46.3858071Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T07:46:46.3858627Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T07:46:46.3859242Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T07:46:46.3859871Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T07:46:46.3860681Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T07:46:46.3861285Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T07:46:46.3862125Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T07:46:46.3862790Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T07:46:46.3863347Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T07:46:46.3863856Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T07:46:46.3864357Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T07:46:46.3864901Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T07:46:46.3865418Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T07:46:46.3865933Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T07:46:46.3866422Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T07:46:46.3866925Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T07:46:46.3867419Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T07:46:46.3867938Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T07:46:46.3868509Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T07:46:46.3869324Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T07:46:46.3870521Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T07:46:46.3871405Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T07:46:46.3872494Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T07:46:46.3873324Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T07:46:46.3874365Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T07:46:46.3875150Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T07:46:46.3875949Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T07:46:46.3876741Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T07:46:46.3877829Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T07:46:46.3878886Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T07:46:46.3879662Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T07:46:46.3880634Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T07:46:46.3881605Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T07:46:46.3882419Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T07:46:46.3883253Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T07:46:46.3884116Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T07:46:46.3884950Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T07:46:46.3885757Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T07:46:46.3887190Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T07:46:46.3888081Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T07:46:46.3889556Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T07:46:46.3890586Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T07:46:46.3891335Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T07:46:46.3892309Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T07:46:46.3893443Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T07:46:46.3894428Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T07:46:46.3895433Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T07:46:46.3896381Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T07:46:46.3897358Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T07:46:46.3898335Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T07:46:46.3899343Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T07:46:46.3900989Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T07:46:46.3902049Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T07:46:46.3903087Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T07:46:46.3904095Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T07:46:46.3905079Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T07:46:46.3906091Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T07:46:46.3907641Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T07:46:46.3908631Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T07:46:46.3909557Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T07:46:46.3910546Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T07:46:46.3911452Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T07:46:46.3912270Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T07:46:46.3913032Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T07:46:46.3914049Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T07:46:46.3915184Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T07:46:46.3915805Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T07:46:46.3916575Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T07:46:46.3917360Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T07:46:46.3918129Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T07:46:46.3919005Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T07:46:46.3919805Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T07:46:46.3920830Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T07:46:46.3921732Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T07:46:46.3922609Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T07:46:46.3923463Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T07:46:46.3924229Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T07:46:46.3925080Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T07:46:46.3925920Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T07:46:46.3926876Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T07:46:46.3927683Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T07:46:46.3928754Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T07:46:46.3929644Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T07:46:46.3930754Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T07:46:46.3931746Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T07:46:46.3932605Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T07:46:46.3933452Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T07:46:46.3934260Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T07:46:46.3935092Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T07:46:46.3935936Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T07:46:46.3936798Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T07:46:46.3937625Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T07:46:46.3938557Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T07:46:46.3939412Z * [new tag] ciflow/trunk/160928 -> ciflow/trunk/160928 2025-09-07T07:46:46.3940618Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T07:46:46.3941517Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T07:46:46.3942568Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T07:46:46.3943698Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T07:46:46.3944568Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T07:46:46.3945469Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T07:46:46.3946336Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T07:46:46.3947223Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T07:46:46.3948095Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T07:46:46.3949212Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T07:46:46.3949847Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T07:46:46.3950964Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T07:46:46.3951831Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T07:46:46.3952707Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T07:46:46.3953887Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T07:46:46.3954806Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T07:46:46.3955710Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T07:46:46.3956585Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T07:46:46.3957618Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T07:46:46.3958390Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T07:46:46.3959482Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T07:46:46.3960167Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T07:46:46.3961385Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T07:46:46.3962273Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T07:46:46.3963316Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T07:46:46.3964320Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T07:46:46.3965123Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T07:46:46.3966005Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T07:46:46.3967069Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T07:46:46.3967828Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T07:46:46.3968901Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T07:46:46.3969610Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T07:46:46.3971000Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T07:46:46.3971869Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T07:46:46.3972888Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T07:46:46.3973703Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T07:46:46.3974621Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T07:46:46.3975490Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T07:46:46.3976355Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T07:46:46.3977425Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T07:46:46.3978182Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T07:46:46.3979323Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T07:46:46.3980153Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T07:46:46.3981509Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T07:46:46.3982343Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T07:46:46.3983440Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T07:46:46.3984524Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T07:46:46.3985236Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T07:46:46.3986481Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T07:46:46.3987270Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T07:46:46.3988267Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T07:46:46.3989121Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T07:46:46.3990378Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T07:46:46.3991365Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T07:46:46.3992233Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T07:46:46.3993275Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T07:46:46.3994129Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T07:46:46.3995178Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T07:46:46.3995949Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T07:46:46.3996970Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T07:46:46.3998010Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T07:46:46.3998864Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T07:46:46.3999905Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T07:46:46.4001050Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T07:46:46.4002059Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T07:46:46.4003003Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T07:46:46.4003944Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T07:46:46.4005112Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T07:46:46.4006217Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T07:46:46.4007156Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T07:46:46.4008074Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T07:46:46.4009029Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T07:46:46.4012904Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T07:46:46.4013875Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T07:46:46.4014833Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T07:46:46.4015800Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T07:46:46.4016743Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T07:46:46.4017959Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T07:46:46.4018924Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T07:46:46.4020617Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T07:46:46.4021744Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T07:46:46.4022924Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T07:46:46.4023809Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T07:46:46.4024920Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T07:46:46.4025901Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T07:46:46.4026607Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T07:46:46.4027550Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T07:46:46.4028274Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T07:46:46.4029352Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T07:46:46.4030473Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T07:46:46.4031357Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T07:46:46.4032260Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T07:46:46.4033168Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T07:46:46.4034194Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T07:46:46.4035015Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T07:46:46.4035881Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T07:46:46.4036591Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T07:46:46.4037422Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T07:46:46.4038312Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T07:46:46.4039288Z * [new tag] cslpull75 -> cslpull75 2025-09-07T07:46:46.4040155Z * [new tag] cslpull76 -> cslpull76 2025-09-07T07:46:46.4041326Z * [new tag] cslpull77 -> cslpull77 2025-09-07T07:46:46.4042357Z * [new tag] cslpull78 -> cslpull78 2025-09-07T07:46:46.4043311Z * [new tag] cslpull79 -> cslpull79 2025-09-07T07:46:46.4044273Z * [new tag] cslpull80 -> cslpull80 2025-09-07T07:46:46.4045166Z * [new tag] cslpull81 -> cslpull81 2025-09-07T07:46:46.4046104Z * [new tag] cslpull82 -> cslpull82 2025-09-07T07:46:46.4047023Z * [new tag] cslpull83 -> cslpull83 2025-09-07T07:46:46.4047902Z * [new tag] cslpull84 -> cslpull84 2025-09-07T07:46:46.4048774Z * [new tag] cslpull85 -> cslpull85 2025-09-07T07:46:46.4049726Z * [new tag] cslpull86 -> cslpull86 2025-09-07T07:46:46.4050931Z * [new tag] cslpull87 -> cslpull87 2025-09-07T07:46:46.4051858Z * [new tag] cslpull88 -> cslpull88 2025-09-07T07:46:46.4052782Z * [new tag] cslpull89 -> cslpull89 2025-09-07T07:46:46.4053452Z * [new tag] cslpull90 -> cslpull90 2025-09-07T07:46:46.4054883Z * [new tag] cslpull91 -> cslpull91 2025-09-07T07:46:46.4055789Z * [new tag] cslpull92 -> cslpull92 2025-09-07T07:46:46.4056736Z * [new tag] flight_5 -> flight_5 2025-09-07T07:46:46.4057710Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T07:46:46.4058707Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T07:46:46.4059573Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T07:46:46.4060640Z * [new tag] forpull1 -> forpull1 2025-09-07T07:46:46.4062067Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T07:46:46.4063107Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T07:46:46.4064268Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T07:46:46.4065185Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T07:46:46.4065843Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T07:46:46.4066999Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T07:46:46.4068583Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T07:46:46.4069620Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T07:46:46.4070825Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T07:46:46.4071979Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T07:46:46.4072837Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T07:46:46.4073953Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T07:46:46.4074974Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T07:46:46.4075928Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T07:46:46.4077124Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T07:46:46.4078016Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T07:46:46.4079099Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T07:46:46.4080093Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T07:46:46.4081328Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T07:46:46.4082791Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T07:46:46.4083781Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T07:46:46.4084766Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T07:46:46.4085862Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T07:46:46.4086891Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T07:46:46.4087870Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T07:46:46.4088894Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T07:46:46.4089839Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T07:46:46.4091133Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T07:46:46.4092226Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T07:46:46.4093327Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T07:46:46.4094104Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T07:46:46.4095162Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T07:46:46.4096209Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T07:46:46.4097243Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T07:46:46.4098622Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T07:46:46.4099707Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T07:46:46.4100887Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T07:46:46.4101841Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T07:46:46.4102949Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T07:46:46.4106614Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T07:46:46.4107582Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T07:46:46.4108541Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T07:46:46.4109618Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T07:46:46.4110897Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T07:46:46.4113146Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T07:46:46.4113419Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T07:46:46.4114882Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T07:46:46.4115171Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T07:46:46.4116185Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T07:46:46.4117046Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T07:46:46.4118149Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T07:46:46.4119213Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T07:46:46.4120472Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T07:46:46.4121653Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T07:46:46.4122695Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T07:46:46.4123736Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T07:46:46.4124986Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T07:46:46.4125795Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T07:46:46.4126880Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T07:46:46.4127976Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T07:46:46.4129033Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T07:46:46.4130031Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T07:46:46.4131279Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T07:46:46.4132117Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T07:46:46.4133215Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T07:46:46.4134150Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T07:46:46.4135160Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T07:46:46.4135981Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T07:46:46.4137164Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T07:46:46.4138219Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T07:46:46.4139282Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T07:46:46.4140581Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T07:46:46.4141714Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T07:46:46.4142832Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T07:46:46.4144016Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T07:46:46.4145068Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T07:46:46.4146132Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T07:46:46.4147166Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T07:46:46.4148245Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T07:46:46.4149345Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T07:46:46.4150604Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T07:46:46.4152090Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T07:46:46.4153388Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T07:46:46.4154183Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T07:46:46.4155240Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T07:46:46.4156354Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T07:46:46.4157532Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T07:46:46.4158707Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T07:46:46.4159766Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T07:46:46.4161580Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T07:46:46.4162728Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T07:46:46.4163724Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T07:46:46.4164889Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T07:46:46.4165984Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T07:46:46.4167049Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T07:46:46.4168185Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T07:46:46.4169307Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T07:46:46.4170632Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T07:46:46.4171802Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T07:46:46.4172871Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T07:46:46.4173932Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T07:46:46.4175041Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T07:46:46.4176121Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T07:46:46.4177332Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T07:46:46.4178435Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T07:46:46.4179552Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T07:46:46.4180787Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T07:46:46.4181979Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T07:46:46.4183636Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T07:46:46.4184804Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T07:46:46.4185853Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T07:46:46.4186968Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T07:46:46.4188149Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T07:46:46.4189337Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T07:46:46.4190523Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T07:46:46.4191694Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T07:46:46.4192849Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T07:46:46.4193902Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T07:46:46.4195304Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T07:46:46.4196438Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T07:46:46.4197662Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T07:46:46.4198716Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T07:46:46.4199915Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T07:46:46.4201174Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T07:46:46.4202252Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T07:46:46.4203382Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T07:46:46.4204467Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T07:46:46.4205548Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T07:46:46.4206670Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T07:46:46.4207630Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T07:46:46.4208746Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T07:46:46.4209835Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T07:46:46.4211289Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T07:46:46.4212450Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T07:46:46.4213608Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T07:46:46.4214996Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T07:46:46.4215983Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T07:46:46.4217207Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T07:46:46.4218309Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T07:46:46.4219524Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T07:46:46.4220997Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T07:46:46.4222189Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T07:46:46.4223448Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T07:46:46.4224710Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T07:46:46.4225857Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T07:46:46.4227060Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T07:46:46.4228534Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T07:46:46.4229677Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T07:46:46.4231303Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T07:46:46.4232450Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T07:46:46.4233637Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T07:46:46.4234878Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T07:46:46.4236145Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:46.4237298Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T07:46:46.4238494Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T07:46:46.4240109Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T07:46:46.4241419Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T07:46:46.4242519Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T07:46:46.4243636Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T07:46:46.4244773Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T07:46:46.4245970Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T07:46:46.4247209Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T07:46:46.4248109Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T07:46:46.4249291Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T07:46:46.4250534Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T07:46:46.4251729Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T07:46:46.4252803Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T07:46:46.4254039Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T07:46:46.4255155Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T07:46:46.4256282Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T07:46:46.4257464Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T07:46:46.4258663Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T07:46:46.4259782Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T07:46:46.4261100Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T07:46:46.4262290Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T07:46:46.4263530Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T07:46:46.4264693Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T07:46:46.4265833Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T07:46:46.4266787Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T07:46:46.4267949Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T07:46:46.4269057Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T07:46:46.4270157Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T07:46:46.4271483Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T07:46:46.4272660Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T07:46:46.4273758Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T07:46:46.4274883Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T07:46:46.4275857Z * [new tag] trunk/ada43ed39c80b746b4822c92640a1882619e2795 -> trunk/ada43ed39c80b746b4822c92640a1882619e2795 2025-09-07T07:46:46.4277104Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T07:46:46.4278480Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T07:46:46.4279316Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T07:46:46.4280703Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T07:46:46.4282033Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T07:46:46.4283173Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T07:46:46.4284247Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T07:46:46.4285452Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T07:46:46.4286542Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T07:46:46.4287710Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T07:46:46.4288907Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T07:46:46.4290115Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T07:46:46.4291549Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T07:46:46.4292831Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T07:46:46.4293925Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T07:46:46.4295446Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T07:46:46.4296581Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T07:46:46.4297771Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T07:46:46.4298943Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T07:46:46.4300030Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T07:46:46.4301472Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T07:46:46.4302304Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T07:46:46.4303541Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T07:46:46.4304721Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T07:46:46.4305862Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T07:46:46.4307051Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T07:46:46.4308233Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T07:46:46.4309479Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T07:46:46.4310637Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T07:46:46.4311932Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T07:46:46.4313036Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T07:46:46.4314129Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T07:46:46.4315107Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T07:46:46.4316226Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T07:46:46.4317401Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T07:46:46.4318586Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T07:46:46.4319646Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T07:46:46.4320764Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T07:46:46.4322043Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T07:46:46.4323133Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T07:46:46.4324192Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T07:46:46.4325435Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T07:46:46.4326687Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T07:46:46.4327803Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T07:46:46.4329009Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T07:46:46.4330075Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T07:46:46.4331545Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T07:46:46.4332771Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T07:46:46.4333897Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T07:46:46.4334991Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T07:46:46.4336081Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T07:46:46.4337203Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T07:46:46.4338152Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T07:46:46.4339339Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T07:46:46.4341348Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T07:46:46.4342437Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T07:46:46.4343742Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T07:46:46.4344818Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T07:46:46.4345943Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T07:46:46.4347099Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T07:46:46.4348109Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T07:46:46.4349326Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T07:46:46.4350460Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T07:46:46.4351683Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T07:46:46.4352791Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T07:46:46.4353915Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T07:46:46.4355089Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T07:46:46.4356315Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T07:46:46.4357430Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T07:46:46.4358505Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T07:46:46.4359658Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T07:46:46.4360762Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T07:46:46.4361985Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T07:46:46.4363165Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T07:46:46.4364178Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T07:46:46.4365332Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T07:46:46.4366539Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T07:46:46.4367613Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T07:46:46.4368708Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T07:46:46.4369899Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T07:46:46.4371821Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T07:46:46.4372906Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T07:46:46.4374072Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T07:46:46.4375194Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T07:46:46.4376227Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T07:46:46.4377430Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T07:46:46.4378533Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T07:46:46.4379767Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T07:46:46.4381106Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T07:46:46.4382363Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T07:46:46.4383637Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T07:46:46.4384799Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T07:46:46.4386080Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T07:46:46.4386951Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T07:46:46.4387942Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T07:46:46.4388980Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T07:46:46.4389911Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T07:46:46.4391074Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T07:46:46.4392051Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T07:46:46.4392949Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T07:46:46.4393930Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T07:46:46.4394952Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T07:46:46.4395889Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T07:46:46.4396778Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T07:46:46.4397720Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T07:46:46.4398795Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T07:46:46.4399804Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T07:46:46.4401111Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T07:46:46.4402084Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T07:46:46.4403092Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T07:46:46.4404123Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T07:46:46.4405174Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T07:46:46.4406174Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T07:46:46.4407231Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T07:46:46.4408155Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T07:46:46.4409733Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T07:46:46.4410390Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T07:46:46.4411780Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T07:46:46.4412836Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T07:46:46.4413865Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T07:46:46.4414731Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T07:46:46.4415817Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T07:46:46.4416669Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T07:46:46.4417519Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T07:46:46.4418387Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T07:46:46.4419476Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T07:46:46.4421026Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T07:46:46.4422133Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T07:46:46.4423389Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T07:46:46.4424457Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T07:46:46.4425607Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T07:46:46.4426457Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T07:46:46.4427336Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T07:46:46.4428470Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T07:46:46.4429569Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T07:46:46.4430825Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T07:46:46.4431960Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T07:46:46.4433069Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T07:46:46.4434186Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T07:46:46.4435284Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T07:46:46.4436181Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T07:46:46.4437039Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T07:46:46.4437985Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T07:46:46.4439241Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T07:46:46.4440448Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T07:46:46.4441733Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T07:46:46.4442880Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T07:46:46.4443740Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T07:46:46.4444877Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T07:46:46.4445937Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T07:46:46.4446959Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T07:46:46.4448039Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T07:46:46.4449239Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T07:46:46.4450161Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T07:46:46.4451307Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T07:46:46.4452359Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T07:46:46.4453467Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T07:46:46.4454393Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T07:46:46.4455464Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T07:46:46.4456560Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T07:46:46.4457689Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T07:46:46.4458565Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T07:46:46.4459654Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T07:46:46.4460995Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T07:46:46.4461963Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T07:46:46.4463221Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T07:46:46.4464451Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T07:46:46.4465546Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T07:46:46.4466683Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T07:46:46.4467838Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T07:46:46.4468717Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T07:46:46.4469949Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T07:46:46.4471025Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T07:46:46.4471966Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T07:46:46.4473006Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T07:46:46.4474162Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T07:46:46.4475303Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T07:46:46.4476409Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T07:46:46.4477473Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T07:46:46.4478542Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T07:46:46.4479461Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T07:46:46.4480837Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T07:46:46.4482074Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T07:46:46.4483239Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T07:46:46.4484380Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T07:46:46.4485272Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T07:46:46.4486453Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T07:46:46.4487659Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T07:46:46.4488876Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T07:46:46.4489821Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T07:46:46.4491100Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T07:46:46.4492072Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T07:46:46.4493179Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T07:46:46.4494377Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T07:46:46.4495391Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T07:46:46.4496326Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T07:46:46.4497300Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T07:46:46.4498657Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T07:46:46.4499369Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T07:46:46.4500699Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T07:46:46.4502202Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T07:46:46.4503213Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T07:46:46.4504497Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T07:46:46.4505611Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T07:46:46.4506821Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T07:46:46.4507983Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T07:46:46.4508878Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T07:46:46.4510057Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T07:46:46.4511789Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T07:46:46.4512657Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T07:46:46.4513804Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T07:46:46.4514904Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T07:46:46.4516088Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T07:46:46.4517304Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T07:46:46.4518491Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T07:46:46.4519647Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T07:46:46.4520754Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T07:46:46.4522113Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T07:46:46.4523353Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T07:46:46.4524283Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T07:46:46.4525375Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T07:46:46.4526346Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T07:46:46.4527930Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T07:46:46.4529104Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T07:46:46.4530434Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T07:46:46.4531708Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T07:46:46.4532910Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T07:46:46.4534164Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T07:46:46.4535122Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T07:46:46.4536318Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T07:46:46.4537554Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T07:46:46.4538672Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T07:46:46.4539944Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T07:46:46.4541428Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T07:46:46.4542514Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T07:46:46.4543656Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T07:46:46.4544817Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T07:46:46.4546041Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T07:46:46.4547238Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T07:46:46.4548414Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T07:46:46.4549504Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T07:46:46.4551060Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T07:46:46.4552158Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T07:46:46.4553224Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T07:46:46.4554360Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T07:46:46.4555565Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T07:46:46.4556707Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T07:46:46.4557687Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T07:46:46.4558668Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T07:46:46.4559870Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T07:46:46.4561452Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T07:46:46.4562434Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T07:46:46.4563410Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T07:46:46.4564469Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T07:46:46.4565664Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T07:46:46.4566646Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T07:46:46.4567657Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T07:46:46.4568851Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T07:46:46.4570069Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T07:46:46.4571537Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T07:46:46.4572855Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T07:46:46.4573854Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T07:46:46.4575015Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T07:46:46.4576235Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T07:46:46.4577392Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T07:46:46.4578560Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T07:46:46.4579560Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T07:46:46.4580981Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T07:46:46.4582165Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T07:46:46.4583250Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T07:46:46.4584335Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T07:46:46.4585520Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T07:46:46.4586699Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T07:46:46.4588596Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T07:46:46.4589716Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T07:46:46.4591088Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T07:46:46.4592301Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T07:46:46.4593511Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T07:46:46.4594612Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T07:46:46.4595870Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T07:46:46.4597207Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T07:46:46.4598308Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T07:46:46.4599440Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T07:46:46.4600857Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T07:46:46.4601964Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T07:46:46.4603193Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T07:46:46.4604423Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T07:46:46.4605633Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T07:46:46.4606767Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T07:46:46.4607980Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T07:46:46.4608941Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T07:46:46.4610101Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T07:46:46.4611499Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T07:46:46.4612688Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T07:46:46.4613867Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T07:46:46.4615102Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T07:46:46.4616281Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T07:46:46.4617461Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T07:46:46.4618680Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T07:46:46.4619686Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T07:46:46.4620910Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T07:46:46.4621979Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T07:46:46.4623350Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T07:46:46.4624636Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T07:46:46.4625888Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T07:46:46.4627057Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T07:46:46.4628426Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T07:46:46.4629789Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T07:46:46.4631236Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T07:46:46.4632507Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T07:46:46.4633789Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T07:46:46.4635076Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T07:46:46.4636267Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T07:46:46.4637259Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T07:46:46.4638538Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T07:46:46.4639743Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T07:46:46.4641154Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T07:46:46.4642412Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T07:46:46.4643603Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T07:46:46.4644789Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T07:46:46.4646103Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T07:46:46.4647504Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T07:46:46.4648378Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T07:46:46.4649640Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T07:46:46.4651046Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T07:46:46.4652398Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T07:46:46.4653630Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T07:46:46.4654625Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T07:46:46.4655677Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T07:46:46.4656916Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T07:46:46.4658122Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T07:46:46.4659424Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T07:46:46.4660916Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T07:46:46.4662164Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T07:46:46.4663485Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T07:46:46.4664773Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T07:46:46.4666027Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T07:46:46.4667246Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T07:46:46.4668482Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T07:46:46.4669566Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T07:46:46.5485557Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:46:46.5514884Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:46.5519565Z ##[endgroup] 2025-09-07T07:46:46.5519833Z ##[group]Determining the checkout info 2025-09-07T07:46:46.5520746Z ##[endgroup] 2025-09-07T07:46:46.5523992Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:46:46.7583869Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:46:47.1393434Z ##[group]Checking out the ref 2025-09-07T07:46:47.1395801Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:48.1649601Z Updating files: 77% (15034/19405) 2025-09-07T07:46:48.1864642Z Updating files: 78% (15136/19405) 2025-09-07T07:46:48.2075397Z Updating files: 79% (15330/19405) 2025-09-07T07:46:48.2322401Z Updating files: 80% (15524/19405) 2025-09-07T07:46:48.2546242Z Updating files: 81% (15719/19405) 2025-09-07T07:46:48.2751334Z Updating files: 82% (15913/19405) 2025-09-07T07:46:48.2859256Z Updating files: 83% (16107/19405) 2025-09-07T07:46:48.2983615Z Updating files: 84% (16301/19405) 2025-09-07T07:46:48.3125555Z Updating files: 85% (16495/19405) 2025-09-07T07:46:48.3251363Z Updating files: 86% (16689/19405) 2025-09-07T07:46:48.3373691Z Updating files: 87% (16883/19405) 2025-09-07T07:46:48.3468156Z Updating files: 88% (17077/19405) 2025-09-07T07:46:48.3596693Z Updating files: 89% (17271/19405) 2025-09-07T07:46:48.3751671Z Updating files: 90% (17465/19405) 2025-09-07T07:46:48.3857049Z Updating files: 91% (17659/19405) 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You can look around, make experimental 2025-09-07T07:46:48.5591204Z changes and commit them, and you can discard any commits you make in this 2025-09-07T07:46:48.5591710Z state without impacting any branches by switching back to a branch. 2025-09-07T07:46:48.5591998Z 2025-09-07T07:46:48.5592173Z If you want to create a new branch to retain commits you create, you may 2025-09-07T07:46:48.5592614Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T07:46:48.5592869Z 2025-09-07T07:46:48.5592966Z git switch -c 2025-09-07T07:46:48.5593138Z 2025-09-07T07:46:48.5593233Z Or undo this operation with: 2025-09-07T07:46:48.5593387Z 2025-09-07T07:46:48.5593470Z git switch - 2025-09-07T07:46:48.5593585Z 2025-09-07T07:46:48.5593801Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T07:46:48.5594111Z 2025-09-07T07:46:48.5594264Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:46:48.5714604Z ##[endgroup] 2025-09-07T07:46:48.5714988Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:46:48.5718689Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:46:48.7748147Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:46:48.7784916Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:46:48.8516410Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:46:48.8825904Z ##[endgroup] 2025-09-07T07:46:48.8826315Z ##[group]Fetching submodules 2025-09-07T07:46:48.8829839Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:46:48.9109995Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:46:49.0820100Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T07:46:49.2100048Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T07:46:49.3337673Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T07:46:49.4545798Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T07:46:49.5731179Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T07:46:49.6293033Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T07:46:49.6304879Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T07:46:49.6318032Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T07:46:49.6331377Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T07:46:49.6344055Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T07:46:49.6404814Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T07:46:49.6614243Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T07:46:49.7090939Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T07:46:49.7101819Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T07:46:49.7115077Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T07:46:49.7128256Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T07:46:49.7140705Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T07:46:49.7153181Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T07:46:49.7165709Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:46:49.7178357Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T07:46:49.7191539Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T07:46:49.7203559Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T07:46:49.7215698Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T07:46:49.7228109Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T07:46:49.7240440Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T07:46:49.7252675Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T07:46:49.7264376Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T07:46:49.7275984Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T07:46:49.7288526Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T07:46:49.7300336Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T07:46:49.7312914Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T07:46:49.7324130Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T07:46:49.7336049Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T07:46:49.7348635Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T07:46:49.7361634Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T07:46:49.7373592Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T07:46:49.7385754Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T07:46:49.7419244Z Cloning into '/home/bob/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T07:46:50.1449489Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T07:46:50.4503417Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T07:46:50.7235373Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T07:46:51.0717788Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T07:46:51.5869858Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T07:46:52.7599348Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T07:47:02.0447707Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T07:47:05.1832907Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T07:47:05.6962945Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T07:47:10.7461020Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T07:47:11.6299479Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T07:47:13.6655463Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T07:47:15.8502554Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T07:47:17.7489036Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T07:47:19.3224411Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T07:47:19.9655209Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T07:47:21.1714290Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T07:47:22.8235923Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T07:47:23.8981854Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T07:47:24.6137218Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T07:47:25.8371331Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T07:47:26.8113969Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T07:47:27.9127805Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T07:47:30.0983289Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T07:47:31.0330729Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T07:47:32.5064794Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T07:47:38.3820109Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T07:47:41.6063346Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T07:47:47.2018828Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T07:47:47.5700023Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T07:47:54.6758800Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T07:47:54.9547226Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T07:47:55.3041118Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T07:47:56.2340839Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T07:47:56.6696313Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T07:47:57.5546304Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T07:47:58.3217730Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:47:58.3357272Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:47:58.3473847Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:47:58.5868486Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:47:58.8553918Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:47:59.5415665Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:48:01.0616137Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:48:01.5849544Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:48:01.7671054Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:48:01.7741539Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T07:48:05.0432000Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:48:05.0681154Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:48:05.4143734Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:48:05.4637103Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:48:05.5613093Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:48:05.6051146Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:48:06.3314262Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:48:06.4789125Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:48:06.4823099Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T07:48:06.4835848Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:48:06.4848481Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:48:06.4861526Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T07:48:06.4873114Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T07:48:06.4884895Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:48:06.4896154Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T07:48:06.4931497Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T07:48:07.7801803Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T07:48:08.7901746Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T07:48:09.5069102Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T07:48:11.2499113Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T07:48:12.1783187Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T07:48:12.6171383Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T07:48:18.3130900Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:48:18.5748193Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:48:18.6753551Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:48:19.3133952Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:48:19.3598811Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:48:19.3736346Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:48:19.4799939Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:48:19.5526233Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:48:19.5557649Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:48:19.5568826Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:48:19.5598583Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T07:48:26.0509289Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T07:48:28.6256557Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:48:29.1989151Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:48:29.3396130Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:48:29.3711996Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:48:29.4102567Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:48:29.4356540Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:48:29.4788224Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:48:29.4922946Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:48:29.4950664Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T07:48:29.4981983Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T07:48:42.5998922Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:48:42.6279667Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:48:42.7156628Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:48:42.7436670Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:48:42.7586684Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:48:42.7748572Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:48:42.7781743Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T07:48:43.9356411Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T07:48:46.9893746Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T07:48:50.2707356Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:48:50.5198057Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:48:50.6422937Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:48:50.7637816Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:48:50.8202497Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:48:50.9876601Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:48:50.9983856Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:48:51.0106707Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:48:51.0253589Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:48:51.0287776Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T07:48:52.8249480Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T07:48:53.9538216Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T07:48:55.6301030Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T07:48:56.6808519Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T07:48:57.5656290Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T07:48:58.9766530Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T07:49:07.4630087Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T07:49:09.5842164Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:49:09.6600022Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:49:09.7917635Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:49:10.0076919Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:49:10.1028471Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:49:10.1057831Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T07:49:12.6669089Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:49:12.7693038Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:49:12.8946849Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:49:13.0956264Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:49:13.2405140Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:49:13.3333555Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:49:13.5244584Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:49:13.6234170Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:49:13.9037488Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:49:14.0737177Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:49:15.1592292Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:49:15.2375907Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T07:49:15.2410767Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T07:49:16.8989143Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:49:16.9861314Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:49:17.0091607Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:49:17.0160745Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:49:17.0276378Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:49:17.0371164Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:49:17.0519592Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:49:17.0747750Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:49:17.0806365Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:49:17.0965497Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:49:17.0996314Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T07:49:18.7426220Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T07:49:20.3128342Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T07:49:21.2074783Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T07:49:30.7112313Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T07:49:33.4421107Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T07:49:35.7014463Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T07:49:36.7065982Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T07:49:43.3181536Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:49:43.3575571Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:49:43.3746147Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:49:43.4779260Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:49:43.4924491Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:49:43.5097722Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:49:43.5273587Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:49:43.5300659Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:49:43.5313201Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:49:43.5345158Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-09-07T07:49:45.0767444Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-09-07T07:49:47.1868751Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:49:47.2496857Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:49:48.1360582Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:49:48.2251952Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T07:49:48.6014928Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-09-07T07:49:48.6723835Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:49:48.7337453Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-09-07T07:49:48.7369819Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-09-07T07:49:49.8148412Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-09-07T07:49:51.6461384Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-09-07T07:49:51.7954744Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-09-07T07:49:51.8146097Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-09-07T07:49:51.8294340Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-09-07T07:49:52.2416365Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8' 2025-09-07T07:49:52.6201925Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-09-07T07:49:52.6742958Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-09-07T07:49:52.7338348Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075' 2025-09-07T07:49:52.7562720Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:49:52.7788537Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:49:52.8029296Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:49:52.8245497Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:49:52.8275416Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'... 2025-09-07T07:49:54.3171524Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'... 2025-09-07T07:49:54.6897204Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'... 2025-09-07T07:49:55.7756242Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'... 2025-09-07T07:49:56.7497890Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-09-07T07:49:56.7672659Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-09-07T07:49:56.8444499Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-09-07T07:49:56.8749785Z Submodule path 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2025-09-07T07:49:59.3300419Z clean: true 2025-09-07T07:49:59.3300619Z sparse-checkout-cone-mode: true 2025-09-07T07:49:59.3300850Z fetch-tags: false 2025-09-07T07:49:59.3301012Z lfs: false 2025-09-07T07:49:59.3301178Z set-safe-directory: true 2025-09-07T07:49:59.3301376Z env: 2025-09-07T07:49:59.3301535Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:59.3301720Z ##[endgroup] 2025-09-07T07:49:59.4211569Z Syncing repository: pytorch/pytorch 2025-09-07T07:49:59.4213600Z ##[group]Getting Git version info 2025-09-07T07:49:59.4213954Z Working directory is '/home/bob/_work/pytorch/pytorch' 2025-09-07T07:49:59.4247887Z [command]/usr/bin/git version 2025-09-07T07:49:59.4289452Z git version 2.50.1 2025-09-07T07:49:59.4313171Z ##[endgroup] 2025-09-07T07:49:59.4325385Z Temporarily overriding HOME='/home/bob/_work/_temp/d7609d03-c835-4e11-a946-9a941704a7c4' before making global git config changes 2025-09-07T07:49:59.4326834Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:49:59.4330382Z [command]/usr/bin/git config --global --add safe.directory /home/bob/_work/pytorch/pytorch 2025-09-07T07:49:59.4371578Z [command]/usr/bin/git config --local --get remote.origin.url 2025-09-07T07:49:59.4393099Z https://github.com/pytorch/pytorch 2025-09-07T07:49:59.4407265Z ##[group]Removing previously created refs, to avoid conflicts 2025-09-07T07:49:59.4410125Z [command]/usr/bin/git rev-parse --symbolic-full-name --verify --quiet HEAD 2025-09-07T07:49:59.4430534Z HEAD 2025-09-07T07:49:59.4468724Z ##[endgroup] 2025-09-07T07:49:59.4471412Z [command]/usr/bin/git submodule status 2025-09-07T07:49:59.4760122Z 7e1e1fe3858c63c251c637ae41a20de425dde96f android/libs/fbjni (v0.1.0-12-g7e1e1fe) 2025-09-07T07:49:59.4841113Z 4dfe081cf6bcd15db339cf2680b9281b8451eeb3 third_party/FP16 (4dfe081) 2025-09-07T07:49:59.4928428Z b408327ac2a15ec3e43352421954f5b1967701d1 third_party/FXdiv (b408327) 2025-09-07T07:49:59.5026562Z c07e3a0400713d546e0dea2d5466dd22ea389c73 third_party/NNPACK (c07e3a0) 2025-09-07T07:49:59.5082502Z 2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07 third_party/NVTX (v3.1.0-263-g2942f16) 2025-09-07T07:49:59.5166153Z 1d8f600fd424278486eade7ed3e877c99f0846b1 third_party/VulkanMemoryAllocator (v2.1.0-982-g1d8f600) 2025-09-07T07:49:59.5627817Z 51a0103656eff6fc9bfd39a4597923c4b542c883 third_party/XNNPACK (remotes/origin/ds/ndk-1243-g51a0103656) 2025-09-07T07:49:59.5668639Z 01aae101b9e5e94d6c16a9514c9fb8df99c93150 third_party/aiter (v0.1.1-92-g01aae101) 2025-09-07T07:49:59.5695124Z 299e5928955cc62af9968370293b916f5130916f third_party/benchmark (v1.9.3) 2025-09-07T07:49:59.5774556Z 7fe50dc3da2069d6645d9deb8c017a876472a977 third_party/composable_kernel (rocm-6.4.3-459-g7fe50dc3d) 2025-09-07T07:49:59.5906422Z 89c932f313c6437c38f2982869beacc89c2f2246 third_party/cpp-httplib (v0.26.0) 2025-09-07T07:49:59.6027710Z 5e3d2445e6a84d9599bee2bf78edbb4d80865e1d third_party/cpuinfo (5e3d244) 2025-09-07T07:49:59.6065998Z f937055efc6d414d11f4c6577e3977fe74f35fb6 third_party/cudnn_frontend (v0.5-52-gf937055) 2025-09-07T07:49:59.6161132Z e51efbfe18fe4f4cbb66ab814c55bf4aa0185491 third_party/cutlass (v4.1.0) 2025-09-07T07:49:59.6217725Z 4b39c551efe15e6bbade20565b0ceb2d8ce3352d third_party/fbgemm (v1.3.0-rc1-342-g4b39c551) 2025-09-07T07:49:59.6302869Z 979702c87a8713a8e0a5e9fee122b90d2ef13be5 third_party/flash-attention (v2.7.4) 2025-09-07T07:49:59.6329360Z a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757 third_party/flatbuffers (v24.12.23) 2025-09-07T07:49:59.6705731Z 40626af88bd7df9a5fb80be7b25ac85b122d6c21 third_party/fmt (11.2.0) 2025-09-07T07:49:59.6830126Z 3fb5c176c17c765a3492cd2f0321b0dab712f350 third_party/gemmlowp/gemmlowp (remotes/origin/revert-87-master-135-g3fb5c17) 2025-09-07T07:49:59.6961297Z c7b7b022c124d9643957d9bd55f57ac59fce8fa2 third_party/gloo (remotes/origin/gh/c-p-i-o/1/base-33-gc7b7b02) 2025-09-07T07:49:59.7177397Z 52eb8108c5bdec04579160ae17225d66034bd723 third_party/googletest (release-1.8.0-3544-g52eb8108) 2025-09-07T07:49:59.7265394Z 719d8e6cd7f7a0e01b155657526d693acf97c2b3 third_party/ideep (pytorch-rls-v3.7.1) 2025-09-07T07:49:59.7339397Z dec1d23ca65ab069d225dfe40dea14f455170959 third_party/ittapi (v3.25.5) 2025-09-07T07:49:59.7594404Z 5e7501833f1021ce6f618572d3baf657b6319658 third_party/kineto (remotes/origin/sraikund/test-98-g5e75018) 2025-09-07T07:49:59.7624815Z cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7 third_party/kleidiai (v1.8.0) 2025-09-07T07:49:59.7654192Z fbd8b99c2b828428947d70fdc046bb55609be93e third_party/mimalloc (v2.2.4) 2025-09-07T07:49:59.7683813Z 55f93686c01528224f448c19128836e7df245f72 third_party/nlohmann (v3.12.0) 2025-09-07T07:49:59.7993933Z e709452ef2bbc1d113faf678c24e6d3467696e83 third_party/onnx (v1.18.0) 2025-09-07T07:49:59.8026994Z a799f4aed9c94b765dcdaabaeab7d5e7e2310878 third_party/opentelemetry-cpp (v1.14.2) 2025-09-07T07:49:59.8059118Z 0fa0ef591e38c2758e3184c6c23e497b9f732ffa third_party/pocketfft (release_for_eigen-40-g0fa0ef5) 2025-09-07T07:49:59.8385911Z d1eca4e4b421cd2997495c4b4e65cea6be4e9b8a third_party/protobuf (v3.7.0-rc.2-1279-gd1eca4e4b) 2025-09-07T07:49:59.8469665Z 072586a71b55b7f8c584153d223e95687148a900 third_party/psimd (heads/master) 2025-09-07T07:49:59.8526633Z 4fe0e1e183925bf8cfa6aae24237e724a96479b8 third_party/pthreadpool (0.1-144-g4fe0e1e) 2025-09-07T07:49:59.8552729Z f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8 third_party/pybind11 (v3.0.1) 2025-09-07T07:49:59.8630976Z f45429b087dd7d5bc78bb40dc7cf06425c252d67 third_party/python-peachpy (remotes/origin/pre-generated) 2025-09-07T07:49:59.8715255Z 5a1d179df9cf652951b59010a2d2075372d67f68 third_party/sleef (3.8) 2025-09-07T07:49:59.8795402Z af0118d13e52f5a08841464a768e01a0bf3e3075 third_party/tensorpipe (heads/main) 2025-09-07T07:49:59.8813637Z ##[group]Cleaning the repository 2025-09-07T07:49:59.8820009Z [command]/usr/bin/git clean -ffdx 2025-09-07T07:49:59.9164562Z [command]/usr/bin/git reset --hard HEAD 2025-09-07T07:50:00.5262913Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:50:00.5293989Z ##[endgroup] 2025-09-07T07:50:00.5297040Z ##[group]Disabling automatic garbage collection 2025-09-07T07:50:00.5304457Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:50:00.5345338Z ##[endgroup] 2025-09-07T07:50:00.5345656Z ##[group]Setting up auth 2025-09-07T07:50:00.5354325Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:50:00.5394571Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T07:50:00.5688103Z Entering 'android/libs/fbjni' 2025-09-07T07:50:00.5739012Z Entering 'third_party/FP16' 2025-09-07T07:50:00.5789921Z Entering 'third_party/FXdiv' 2025-09-07T07:50:00.5838478Z Entering 'third_party/NNPACK' 2025-09-07T07:50:00.5887525Z Entering 'third_party/NVTX' 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Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:50:00.9075217Z Entering 'third_party/psimd' 2025-09-07T07:50:00.9122870Z Entering 'third_party/pthreadpool' 2025-09-07T07:50:00.9174140Z Entering 'third_party/pybind11' 2025-09-07T07:50:00.9222073Z Entering 'third_party/python-peachpy' 2025-09-07T07:50:00.9278879Z Entering 'third_party/sleef' 2025-09-07T07:50:00.9328295Z Entering 'third_party/tensorpipe' 2025-09-07T07:50:00.9376022Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:50:00.9421940Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:50:00.9469474Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:50:00.9516766Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:50:00.9563882Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:50:00.9641991Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:50:00.9671760Z http.https://github.com/.extraheader 2025-09-07T07:50:00.9681592Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T07:50:00.9723110Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T07:50:00.9992044Z Entering 'android/libs/fbjni' 2025-09-07T07:50:01.0021085Z http.https://github.com/.extraheader 2025-09-07T07:50:01.0058154Z Entering 'third_party/FP16' 2025-09-07T07:50:01.0086833Z http.https://github.com/.extraheader 2025-09-07T07:50:01.0122918Z Entering 'third_party/FXdiv' 2025-09-07T07:50:01.0151728Z http.https://github.com/.extraheader 2025-09-07T07:50:01.0188530Z Entering 'third_party/NNPACK' 2025-09-07T07:50:01.0216638Z http.https://github.com/.extraheader 2025-09-07T07:50:01.0253053Z Entering 'third_party/NVTX' 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http.https://github.com/.extraheader 2025-09-07T07:50:01.2266327Z Entering 'third_party/kineto' 2025-09-07T07:50:01.2295237Z http.https://github.com/.extraheader 2025-09-07T07:50:01.2331290Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:50:01.2358180Z http.https://github.com/.extraheader 2025-09-07T07:50:01.2392661Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:50:01.2417087Z http.https://github.com/.extraheader 2025-09-07T07:50:01.2451495Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:50:01.2476310Z http.https://github.com/.extraheader 2025-09-07T07:50:01.2510011Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:50:01.2539302Z http.https://github.com/.extraheader 2025-09-07T07:50:01.2575004Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:50:01.2599759Z http.https://github.com/.extraheader 2025-09-07T07:50:01.2633015Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:50:01.2657522Z http.https://github.com/.extraheader 2025-09-07T07:50:01.2693452Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:50:01.2717850Z http.https://github.com/.extraheader 2025-09-07T07:50:01.2751899Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:50:01.2776907Z http.https://github.com/.extraheader 2025-09-07T07:50:01.2811229Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:50:01.2836040Z http.https://github.com/.extraheader 2025-09-07T07:50:01.2871234Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:50:01.2896343Z http.https://github.com/.extraheader 2025-09-07T07:50:01.2931640Z Entering 'third_party/kineto/libkineto/third_party/fmt' 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http.https://github.com/.extraheader 2025-09-07T07:50:01.3455528Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:50:01.3483699Z http.https://github.com/.extraheader 2025-09-07T07:50:01.3519277Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:50:01.3546826Z http.https://github.com/.extraheader 2025-09-07T07:50:01.3581530Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:50:01.3608640Z http.https://github.com/.extraheader 2025-09-07T07:50:01.3643247Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:50:01.3669771Z http.https://github.com/.extraheader 2025-09-07T07:50:01.3706858Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:50:01.3733569Z http.https://github.com/.extraheader 2025-09-07T07:50:01.3769251Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:50:01.3796040Z http.https://github.com/.extraheader 2025-09-07T07:50:01.3831361Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:50:01.3858455Z http.https://github.com/.extraheader 2025-09-07T07:50:01.3891674Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:50:01.3919643Z http.https://github.com/.extraheader 2025-09-07T07:50:01.3957074Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:50:01.3984005Z http.https://github.com/.extraheader 2025-09-07T07:50:01.4021827Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:50:01.4048242Z http.https://github.com/.extraheader 2025-09-07T07:50:01.4102147Z Entering 'third_party/pocketfft' 2025-09-07T07:50:01.4130748Z http.https://github.com/.extraheader 2025-09-07T07:50:01.4166703Z Entering 'third_party/protobuf' 2025-09-07T07:50:01.4194709Z http.https://github.com/.extraheader 2025-09-07T07:50:01.4232840Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:50:01.4260764Z http.https://github.com/.extraheader 2025-09-07T07:50:01.4296338Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:50:01.4322937Z http.https://github.com/.extraheader 2025-09-07T07:50:01.4361663Z Entering 'third_party/psimd' 2025-09-07T07:50:01.4389697Z http.https://github.com/.extraheader 2025-09-07T07:50:01.4425991Z Entering 'third_party/pthreadpool' 2025-09-07T07:50:01.4453861Z http.https://github.com/.extraheader 2025-09-07T07:50:01.4489477Z Entering 'third_party/pybind11' 2025-09-07T07:50:01.4517634Z http.https://github.com/.extraheader 2025-09-07T07:50:01.4553487Z Entering 'third_party/python-peachpy' 2025-09-07T07:50:01.4581964Z http.https://github.com/.extraheader 2025-09-07T07:50:01.4619881Z Entering 'third_party/sleef' 2025-09-07T07:50:01.4647563Z http.https://github.com/.extraheader 2025-09-07T07:50:01.4685068Z Entering 'third_party/tensorpipe' 2025-09-07T07:50:01.4714235Z 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##[group]Fetching the repository 2025-09-07T07:50:01.5152335Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:50:02.1371834Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:50:02.1402164Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:50:02.1408864Z ##[endgroup] 2025-09-07T07:50:02.1409190Z ##[group]Determining the checkout info 2025-09-07T07:50:02.1410973Z ##[endgroup] 2025-09-07T07:50:02.1415830Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:50:02.1607134Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:50:02.1642947Z ##[group]Checking out the ref 2025-09-07T07:50:02.1648907Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:50:02.2025216Z HEAD is now at 93fb23d6fae Build vLLM nightly 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Synchronizing submodule url for 'third_party/cudnn_frontend' 2025-09-07T07:50:02.2845082Z Synchronizing submodule url for 'third_party/cutlass' 2025-09-07T07:50:02.2885786Z Synchronizing submodule url for 'third_party/fbgemm' 2025-09-07T07:50:02.2915576Z Synchronizing submodule url for 'third_party/fbgemm/external/asmjit' 2025-09-07T07:50:02.2940095Z Synchronizing submodule url for 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:50:02.2974303Z Synchronizing submodule url for 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:50:02.2999417Z Synchronizing submodule url for 'third_party/fbgemm/external/cutlass' 2025-09-07T07:50:02.3031643Z Synchronizing submodule url for 'third_party/fbgemm/external/googletest' 2025-09-07T07:50:02.3057000Z Synchronizing submodule url for 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:50:02.3080350Z Synchronizing submodule url for 'third_party/fbgemm/external/json' 2025-09-07T07:50:02.3109153Z Synchronizing submodule url for 'third_party/flash-attention' 2025-09-07T07:50:02.3132951Z Synchronizing submodule url for 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:50:02.3163243Z Synchronizing submodule url for 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:50:02.3199948Z Synchronizing submodule url for 'third_party/flatbuffers' 2025-09-07T07:50:02.3226296Z Synchronizing submodule url for 'third_party/fmt' 2025-09-07T07:50:02.3251030Z Synchronizing submodule url for 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:50:02.3274935Z Synchronizing submodule url for 'third_party/gloo' 2025-09-07T07:50:02.3298173Z Synchronizing submodule url for 'third_party/googletest' 2025-09-07T07:50:02.3322207Z Synchronizing submodule url for 'third_party/ideep' 2025-09-07T07:50:02.3343176Z Synchronizing submodule url for 'third_party/ideep/mkl-dnn' 2025-09-07T07:50:02.3374722Z Synchronizing submodule url for 'third_party/ittapi' 2025-09-07T07:50:02.3398521Z Synchronizing submodule url for 'third_party/kineto' 2025-09-07T07:50:02.3420479Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:50:02.3442553Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:50:02.3467441Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:50:02.3490751Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:50:02.3514869Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:50:02.3536930Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:50:02.3563686Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:50:02.3586952Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:50:02.3610861Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:50:02.3635221Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:50:02.3663589Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:50:02.3689642Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:50:02.3724936Z Synchronizing submodule url for 'third_party/kleidiai' 2025-09-07T07:50:02.3749516Z Synchronizing submodule url for 'third_party/mimalloc' 2025-09-07T07:50:02.3773259Z Synchronizing submodule url for 'third_party/nlohmann' 2025-09-07T07:50:02.3798705Z Synchronizing submodule url for 'third_party/onnx' 2025-09-07T07:50:02.3836908Z Synchronizing submodule url for 'third_party/onnx/third_party/pybind11' 2025-09-07T07:50:02.3864927Z Synchronizing submodule url for 'third_party/opentelemetry-cpp' 2025-09-07T07:50:02.3888528Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:50:02.3910630Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:50:02.3933486Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:50:02.3955877Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:50:02.3979186Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:50:02.4001625Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:50:02.4023001Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:50:02.4043579Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:50:02.4068347Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:50:02.4092823Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:50:02.4135624Z Synchronizing submodule url for 'third_party/pocketfft' 2025-09-07T07:50:02.4158863Z Synchronizing submodule url for 'third_party/protobuf' 2025-09-07T07:50:02.4183518Z Synchronizing submodule url for 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:50:02.4205452Z Synchronizing submodule url for 'third_party/protobuf/third_party/googletest' 2025-09-07T07:50:02.4230708Z Synchronizing submodule url for 'third_party/psimd' 2025-09-07T07:50:02.4253525Z Synchronizing submodule url for 'third_party/pthreadpool' 2025-09-07T07:50:02.4276773Z Synchronizing submodule url for 'third_party/pybind11' 2025-09-07T07:50:02.4300479Z Synchronizing submodule url for 'third_party/python-peachpy' 2025-09-07T07:50:02.4329364Z Synchronizing submodule url for 'third_party/sleef' 2025-09-07T07:50:02.4361280Z Synchronizing submodule url for 'third_party/tensorpipe' 2025-09-07T07:50:02.4387249Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:50:02.4412022Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:50:02.4436922Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:50:02.4461564Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:50:02.4483731Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:50:02.4531609Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:50:02.4946377Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:50:02.5073161Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:50:02.5179692Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:50:02.5416976Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:50:02.6259569Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:50:02.6620102Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:50:03.4768858Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:50:03.6782403Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:50:03.7312982Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:50:03.7518816Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:50:04.0702037Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:50:04.1257921Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:50:04.2464230Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:50:04.2917279Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:50:04.7145403Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:50:04.8453895Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:50:04.9035547Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:50:05.1729165Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:50:05.2925436Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:50:05.6853007Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:50:05.7223757Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:50:05.7359470Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:50:05.8359836Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:50:05.9293934Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:50:06.1721119Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:50:06.4042768Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:50:06.6185611Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:50:06.6473071Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:50:06.6854541Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:50:06.7081685Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:50:06.7433023Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:50:06.7573224Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:50:07.5085055Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:50:07.5299435Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:50:07.6151080Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:50:07.7548127Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:50:07.9278535Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:50:07.9449210Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:50:07.9753720Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:50:07.9872313Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:50:07.9977004Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:50:08.0143763Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:50:08.0492539Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:50:08.1198231Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:50:08.1365683Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:50:08.1643202Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:50:08.1985174Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:50:08.2409027Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:50:08.2912201Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:50:08.3742847Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:50:08.4360062Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:50:08.4927931Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:50:08.5556221Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:50:08.5733819Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:50:08.6074659Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:50:08.6205263Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:50:08.7205705Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:50:08.7357619Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:50:08.7503661Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:50:08.7648135Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:50:08.9666242Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:50:09.0029376Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:50:09.0671903Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:50:09.0800492Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T07:50:09.3209586Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-09-07T07:50:09.3353555Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-09-07T07:50:09.3745819Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-09-07T07:50:09.3849877Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-09-07T07:50:09.4000179Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-09-07T07:50:09.4202134Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8' 2025-09-07T07:50:09.4631646Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-09-07T07:50:09.5446561Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-09-07T07:50:09.5671387Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075' 2025-09-07T07:50:09.6014343Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-09-07T07:50:09.6173040Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-09-07T07:50:09.6682648Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-09-07T07:50:09.6928371Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' 2025-09-07T07:50:09.7028091Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' 2025-09-07T07:50:09.7073171Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-09-07T07:50:09.7342289Z Entering 'android/libs/fbjni' 2025-09-07T07:50:09.7384917Z Entering 'third_party/FP16' 2025-09-07T07:50:09.7429375Z Entering 'third_party/FXdiv' 2025-09-07T07:50:09.7470934Z Entering 'third_party/NNPACK' 2025-09-07T07:50:09.7514383Z Entering 'third_party/NVTX' 2025-09-07T07:50:09.7558336Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:50:09.7601259Z Entering 'third_party/XNNPACK' 2025-09-07T07:50:09.7658031Z Entering 'third_party/aiter' 2025-09-07T07:50:09.7702023Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:50:09.7752651Z Entering 'third_party/benchmark' 2025-09-07T07:50:09.7797146Z Entering 'third_party/composable_kernel' 2025-09-07T07:50:09.7848415Z Entering 'third_party/cpp-httplib' 2025-09-07T07:50:09.7891904Z Entering 'third_party/cpuinfo' 2025-09-07T07:50:09.7936074Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:50:09.7979423Z Entering 'third_party/cutlass' 2025-09-07T07:50:09.8032002Z Entering 'third_party/fbgemm' 2025-09-07T07:50:09.8076954Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:50:09.8119095Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:50:09.8166710Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:50:09.8209213Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:50:09.8258642Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:50:09.8299687Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:50:09.8341282Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:50:09.8386215Z Entering 'third_party/flash-attention' 2025-09-07T07:50:09.8429746Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:50:09.8475737Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:50:09.8525994Z Entering 'third_party/flatbuffers' 2025-09-07T07:50:09.8571984Z Entering 'third_party/fmt' 2025-09-07T07:50:09.8615163Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:50:09.8658419Z Entering 'third_party/gloo' 2025-09-07T07:50:09.8701969Z Entering 'third_party/googletest' 2025-09-07T07:50:09.8745759Z Entering 'third_party/ideep' 2025-09-07T07:50:09.8787690Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:50:09.8836482Z Entering 'third_party/ittapi' 2025-09-07T07:50:09.8879791Z Entering 'third_party/kineto' 2025-09-07T07:50:09.8921941Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:50:09.8962086Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:50:09.9006114Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:50:09.9049159Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:50:09.9091378Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:50:09.9131890Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:50:09.9176339Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:50:09.9216569Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:50:09.9257661Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:50:09.9298520Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:50:09.9343661Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:50:09.9383990Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:50:09.9427105Z Entering 'third_party/kleidiai' 2025-09-07T07:50:09.9471449Z Entering 'third_party/mimalloc' 2025-09-07T07:50:09.9514827Z Entering 'third_party/nlohmann' 2025-09-07T07:50:09.9558360Z Entering 'third_party/onnx' 2025-09-07T07:50:09.9615362Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:50:09.9662496Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:50:09.9706190Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:50:09.9747043Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:50:09.9787724Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:50:09.9827811Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:50:09.9868344Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:50:09.9909284Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:50:09.9949885Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:50:09.9989781Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:50:10.0032485Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:50:10.0076154Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:50:10.0137608Z Entering 'third_party/pocketfft' 2025-09-07T07:50:10.0182599Z Entering 'third_party/protobuf' 2025-09-07T07:50:10.0229667Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:50:10.0270926Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:50:10.0315249Z Entering 'third_party/psimd' 2025-09-07T07:50:10.0357910Z Entering 'third_party/pthreadpool' 2025-09-07T07:50:10.0400424Z Entering 'third_party/pybind11' 2025-09-07T07:50:10.0443880Z Entering 'third_party/python-peachpy' 2025-09-07T07:50:10.0487154Z Entering 'third_party/sleef' 2025-09-07T07:50:10.0530381Z Entering 'third_party/tensorpipe' 2025-09-07T07:50:10.0573157Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:50:10.0613986Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:50:10.0653847Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:50:10.0694633Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:50:10.0733659Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:50:10.0794937Z ##[endgroup] 2025-09-07T07:50:10.0795294Z ##[group]Persisting credentials for submodules 2025-09-07T07:50:10.0801537Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :" 2025-09-07T07:50:10.1060104Z Entering 'android/libs/fbjni' 2025-09-07T07:50:10.1086368Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1086681Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1123145Z Entering 'third_party/FP16' 2025-09-07T07:50:10.1151083Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1151409Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1186720Z Entering 'third_party/FXdiv' 2025-09-07T07:50:10.1214490Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1214780Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1250513Z Entering 'third_party/NNPACK' 2025-09-07T07:50:10.1277517Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1277835Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1315264Z Entering 'third_party/NVTX' 2025-09-07T07:50:10.1342886Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1343438Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1379868Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:50:10.1406886Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1407174Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1444920Z Entering 'third_party/XNNPACK' 2025-09-07T07:50:10.1472810Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1473099Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1524339Z Entering 'third_party/aiter' 2025-09-07T07:50:10.1552046Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1552334Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1588641Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:50:10.1615547Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1615865Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1659821Z Entering 'third_party/benchmark' 2025-09-07T07:50:10.1687116Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1687442Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1723501Z Entering 'third_party/composable_kernel' 2025-09-07T07:50:10.1753397Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1753691Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1796585Z Entering 'third_party/cpp-httplib' 2025-09-07T07:50:10.1824226Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1824473Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1858739Z Entering 'third_party/cpuinfo' 2025-09-07T07:50:10.1886437Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1886776Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1922175Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:50:10.1949927Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1950195Z url.https://github.com/.insteadof 2025-09-07T07:50:10.1985075Z Entering 'third_party/cutlass' 2025-09-07T07:50:10.2012885Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2013184Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2056216Z Entering 'third_party/fbgemm' 2025-09-07T07:50:10.2083691Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2083969Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2120121Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:50:10.2147581Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2147860Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2182237Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:50:10.2208163Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2248975Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2249288Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:50:10.2274822Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2275116Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2309116Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:50:10.2335330Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2335630Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2382011Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:50:10.2407881Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2408167Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2441891Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:50:10.2468545Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2468865Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2504529Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:50:10.2530133Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2533014Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2570762Z Entering 'third_party/flash-attention' 2025-09-07T07:50:10.2599350Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2599626Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2634461Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:50:10.2661389Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2661697Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2701461Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:50:10.2727601Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2728191Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2771484Z Entering 'third_party/flatbuffers' 2025-09-07T07:50:10.2799441Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2799702Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2837045Z Entering 'third_party/fmt' 2025-09-07T07:50:10.2866312Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2866613Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2902609Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:50:10.2929590Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2929882Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2964491Z Entering 'third_party/gloo' 2025-09-07T07:50:10.2992989Z url.https://github.com/.insteadof 2025-09-07T07:50:10.2993290Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3027836Z Entering 'third_party/googletest' 2025-09-07T07:50:10.3055345Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3055623Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3089680Z Entering 'third_party/ideep' 2025-09-07T07:50:10.3117211Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3117477Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3151432Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:50:10.3178121Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3178430Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3220941Z Entering 'third_party/ittapi' 2025-09-07T07:50:10.3248746Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3249031Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3283801Z Entering 'third_party/kineto' 2025-09-07T07:50:10.3311846Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3312139Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3345497Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:50:10.3372524Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3372823Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3405868Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:50:10.3433377Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3433687Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3470443Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:50:10.3498053Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3498342Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3533072Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:50:10.3559268Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3559522Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3594485Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:50:10.3621447Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3621745Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3654806Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:50:10.3682424Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3682696Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3720555Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:50:10.3747075Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3747349Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3781424Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:50:10.3807784Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3808084Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3842153Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:50:10.3869009Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3869279Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3904812Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:50:10.3931962Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3932261Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3969811Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:50:10.3995579Z url.https://github.com/.insteadof 2025-09-07T07:50:10.3995890Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4030002Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:50:10.4055425Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4055719Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4092248Z Entering 'third_party/kleidiai' 2025-09-07T07:50:10.4122220Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4122509Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4157742Z Entering 'third_party/mimalloc' 2025-09-07T07:50:10.4185789Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4186078Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4220468Z Entering 'third_party/nlohmann' 2025-09-07T07:50:10.4247748Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4248036Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4283912Z Entering 'third_party/onnx' 2025-09-07T07:50:10.4311564Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4311849Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4363087Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:50:10.4390696Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4390979Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4430516Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:50:10.4459074Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4459326Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4494530Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:50:10.4521828Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4522130Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4555660Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:50:10.4581426Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4581698Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4615196Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:50:10.4640479Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4640767Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4674264Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:50:10.4699491Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4699777Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4734710Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:50:10.4760816Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4761084Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4793614Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:50:10.4819374Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4819672Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4858013Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:50:10.4884667Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4884975Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4918191Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:50:10.4947121Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4947389Z url.https://github.com/.insteadof 2025-09-07T07:50:10.4984142Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:50:10.5011008Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5011303Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5048336Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:50:10.5075078Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5075380Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5129677Z Entering 'third_party/pocketfft' 2025-09-07T07:50:10.5158744Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5159049Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5193382Z Entering 'third_party/protobuf' 2025-09-07T07:50:10.5221989Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5222524Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5259027Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:50:10.5285855Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5286181Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5319865Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:50:10.5346195Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5346553Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5384171Z Entering 'third_party/psimd' 2025-09-07T07:50:10.5412199Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5412505Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5446785Z Entering 'third_party/pthreadpool' 2025-09-07T07:50:10.5474580Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5474849Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5508997Z Entering 'third_party/pybind11' 2025-09-07T07:50:10.5537647Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5537941Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5573044Z Entering 'third_party/python-peachpy' 2025-09-07T07:50:10.5600427Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5600726Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5636083Z Entering 'third_party/sleef' 2025-09-07T07:50:10.5663638Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5663944Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5698388Z Entering 'third_party/tensorpipe' 2025-09-07T07:50:10.5726076Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5726394Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5759787Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:50:10.5787276Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5787560Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5821677Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:50:10.5848879Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5849171Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5883778Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:50:10.5909763Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5910054Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5944279Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:50:10.5970639Z url.https://github.com/.insteadof 2025-09-07T07:50:10.5970927Z url.https://github.com/.insteadof 2025-09-07T07:50:10.6003417Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:50:10.6030440Z url.https://github.com/.insteadof 2025-09-07T07:50:10.6030709Z url.https://github.com/.insteadof 2025-09-07T07:50:10.6089405Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-09-07T07:50:10.6351781Z Entering 'android/libs/fbjni' 2025-09-07T07:50:10.6393471Z file:/home/bob/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:50:10.6414979Z Entering 'third_party/FP16' 2025-09-07T07:50:10.6457263Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:50:10.6479228Z Entering 'third_party/FXdiv' 2025-09-07T07:50:10.6520484Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:50:10.6541212Z Entering 'third_party/NNPACK' 2025-09-07T07:50:10.6582919Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-09-07T07:50:10.6605186Z Entering 'third_party/NVTX' 2025-09-07T07:50:10.6646199Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-09-07T07:50:10.6669415Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:50:10.6710562Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-09-07T07:50:10.6732751Z Entering 'third_party/XNNPACK' 2025-09-07T07:50:10.6774387Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-09-07T07:50:10.6809303Z Entering 'third_party/aiter' 2025-09-07T07:50:10.6851061Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-09-07T07:50:10.6872437Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:50:10.6914192Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-09-07T07:50:10.6945274Z Entering 'third_party/benchmark' 2025-09-07T07:50:10.6985733Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:50:10.7007053Z Entering 'third_party/composable_kernel' 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remote.origin.url 2025-09-07T07:50:10.7662282Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:50:10.7703205Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-09-07T07:50:10.7723592Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:50:10.7763445Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-09-07T07:50:10.7783794Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:50:10.7823573Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-09-07T07:50:10.7848120Z Entering 'third_party/flash-attention' 2025-09-07T07:50:10.7890740Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-09-07T07:50:10.7911697Z Entering 'third_party/flash-attention/csrc/composable_kernel' 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Entering 'third_party/gloo' 2025-09-07T07:50:10.8288495Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-09-07T07:50:10.8310570Z Entering 'third_party/googletest' 2025-09-07T07:50:10.8351523Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:50:10.8372653Z Entering 'third_party/ideep' 2025-09-07T07:50:10.8415538Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-09-07T07:50:10.8435250Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:50:10.8475823Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-09-07T07:50:10.8505268Z Entering 'third_party/ittapi' 2025-09-07T07:50:10.8546841Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T07:50:10.8568342Z Entering 'third_party/kineto' 2025-09-07T07:50:10.8609264Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-09-07T07:50:10.8629814Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:50:10.8672566Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-09-07T07:50:10.8692253Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:50:10.8734956Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-09-07T07:50:10.8757237Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:50:10.8798467Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T07:50:10.8819711Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:50:10.8860969Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:50:10.8881954Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:50:10.8923223Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-09-07T07:50:10.8942311Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:50:10.8985301Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2025-09-07T07:50:10.9008631Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:50:10.9050346Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T07:50:10.9071073Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:50:10.9112642Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:50:10.9133575Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:50:10.9174800Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2025-09-07T07:50:10.9197362Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:50:10.9238086Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2025-09-07T07:50:10.9261601Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:50:10.9302829Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2025-09-07T07:50:10.9323335Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:50:10.9363909Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T07:50:10.9387193Z Entering 'third_party/kleidiai' 2025-09-07T07:50:10.9428559Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-09-07T07:50:10.9451063Z Entering 'third_party/mimalloc' 2025-09-07T07:50:10.9492417Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T07:50:10.9513626Z Entering 'third_party/nlohmann' 2025-09-07T07:50:10.9555674Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T07:50:10.9578253Z Entering 'third_party/onnx' 2025-09-07T07:50:10.9618805Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T07:50:10.9655024Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:50:10.9696958Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:50:10.9723080Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:50:10.9765269Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T07:50:10.9786841Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 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'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:50:11.0073673Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T07:50:11.0093838Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:50:11.0134115Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2025-09-07T07:50:11.0155255Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:50:11.0195494Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2025-09-07T07:50:11.0214750Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:50:11.0258183Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2025-09-07T07:50:11.0280771Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:50:11.0322789Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-09-07T07:50:11.0345974Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:50:11.0386301Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T07:50:11.0427298Z Entering 'third_party/pocketfft' 2025-09-07T07:50:11.0468635Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T07:50:11.0489959Z Entering 'third_party/protobuf' 2025-09-07T07:50:11.0530920Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T07:50:11.0554326Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:50:11.0595547Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:50:11.0615990Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:50:11.0656791Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:50:11.0680928Z Entering 'third_party/psimd' 2025-09-07T07:50:11.0722466Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2025-09-07T07:50:11.0743877Z Entering 'third_party/pthreadpool' 2025-09-07T07:50:11.0787572Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2025-09-07T07:50:11.0808468Z Entering 'third_party/pybind11' 2025-09-07T07:50:11.0849576Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:50:11.0871492Z Entering 'third_party/python-peachpy' 2025-09-07T07:50:11.0912351Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2025-09-07T07:50:11.0933614Z Entering 'third_party/sleef' 2025-09-07T07:50:11.0974988Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2025-09-07T07:50:11.0997069Z Entering 'third_party/tensorpipe' 2025-09-07T07:50:11.1038038Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2025-09-07T07:50:11.1058257Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:50:11.1099778Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:50:11.1120440Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:50:11.1160453Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-09-07T07:50:11.1180439Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:50:11.1220092Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-09-07T07:50:11.1241059Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:50:11.1281879Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:50:11.1301001Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:50:11.1343695Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-09-07T07:50:11.1613112Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T07:50:11.1877685Z Entering 'android/libs/fbjni' 2025-09-07T07:50:11.1922317Z Entering 'third_party/FP16' 2025-09-07T07:50:11.1965488Z Entering 'third_party/FXdiv' 2025-09-07T07:50:11.2008684Z Entering 'third_party/NNPACK' 2025-09-07T07:50:11.2053152Z Entering 'third_party/NVTX' 2025-09-07T07:50:11.2099039Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:50:11.2143035Z Entering 'third_party/XNNPACK' 2025-09-07T07:50:11.2201368Z Entering 'third_party/aiter' 2025-09-07T07:50:11.2245790Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:50:11.2297485Z Entering 'third_party/benchmark' 2025-09-07T07:50:11.2343669Z Entering 'third_party/composable_kernel' 2025-09-07T07:50:11.2396114Z Entering 'third_party/cpp-httplib' 2025-09-07T07:50:11.2441319Z Entering 'third_party/cpuinfo' 2025-09-07T07:50:11.2485884Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:50:11.2530990Z Entering 'third_party/cutlass' 2025-09-07T07:50:11.2584250Z Entering 'third_party/fbgemm' 2025-09-07T07:50:11.2988817Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:50:11.3030928Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:50:11.3078998Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:50:11.3121383Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:50:11.3171448Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:50:11.3213137Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:50:11.3254899Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:50:11.3301019Z Entering 'third_party/flash-attention' 2025-09-07T07:50:11.3346562Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:50:11.3393819Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:50:11.3445348Z Entering 'third_party/flatbuffers' 2025-09-07T07:50:11.3493010Z Entering 'third_party/fmt' 2025-09-07T07:50:11.3537219Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:50:11.3581573Z Entering 'third_party/gloo' 2025-09-07T07:50:11.3625838Z Entering 'third_party/googletest' 2025-09-07T07:50:11.3670135Z Entering 'third_party/ideep' 2025-09-07T07:50:11.3712370Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:50:11.3762454Z Entering 'third_party/ittapi' 2025-09-07T07:50:11.3806980Z Entering 'third_party/kineto' 2025-09-07T07:50:11.3850646Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:50:11.3892689Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:50:11.3937617Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:50:11.3980190Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:50:11.4024525Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:50:11.4065565Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:50:11.4110451Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:50:11.4153312Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:50:11.4196252Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:50:11.4239829Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:50:11.4284964Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:50:11.4326759Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:50:11.4371453Z Entering 'third_party/kleidiai' 2025-09-07T07:50:11.4416740Z Entering 'third_party/mimalloc' 2025-09-07T07:50:11.4461070Z Entering 'third_party/nlohmann' 2025-09-07T07:50:11.4504718Z Entering 'third_party/onnx' 2025-09-07T07:50:11.4562993Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:50:11.4610043Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:50:11.4656973Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:50:11.4698201Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:50:11.4738292Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:50:11.4779467Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:50:11.4822267Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:50:11.4864077Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:50:11.4905341Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:50:11.4943587Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:50:11.4988918Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:50:11.5033206Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:50:11.5094064Z Entering 'third_party/pocketfft' 2025-09-07T07:50:11.5138260Z Entering 'third_party/protobuf' 2025-09-07T07:50:11.5185408Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:50:11.5227242Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:50:11.5272283Z Entering 'third_party/psimd' 2025-09-07T07:50:11.5316355Z Entering 'third_party/pthreadpool' 2025-09-07T07:50:11.5360980Z Entering 'third_party/pybind11' 2025-09-07T07:50:11.5405690Z Entering 'third_party/python-peachpy' 2025-09-07T07:50:11.5449189Z Entering 'third_party/sleef' 2025-09-07T07:50:11.5494097Z Entering 'third_party/tensorpipe' 2025-09-07T07:50:11.5537844Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:50:11.5579115Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:50:11.5620524Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:50:11.5661641Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:50:11.5702046Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:50:11.5769687Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-07T07:50:11.6033297Z Entering 'android/libs/fbjni' 2025-09-07T07:50:11.6077589Z Entering 'third_party/FP16' 2025-09-07T07:50:11.6121409Z Entering 'third_party/FXdiv' 2025-09-07T07:50:11.6164892Z Entering 'third_party/NNPACK' 2025-09-07T07:50:11.6208934Z Entering 'third_party/NVTX' 2025-09-07T07:50:11.6252727Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:50:11.6296813Z Entering 'third_party/XNNPACK' 2025-09-07T07:50:11.6355638Z Entering 'third_party/aiter' 2025-09-07T07:50:11.6399484Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:50:11.6450959Z Entering 'third_party/benchmark' 2025-09-07T07:50:11.6495494Z Entering 'third_party/composable_kernel' 2025-09-07T07:50:11.6547065Z Entering 'third_party/cpp-httplib' 2025-09-07T07:50:11.6590130Z Entering 'third_party/cpuinfo' 2025-09-07T07:50:11.6633511Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:50:11.6677766Z Entering 'third_party/cutlass' 2025-09-07T07:50:11.6730000Z Entering 'third_party/fbgemm' 2025-09-07T07:50:11.6775273Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:50:11.6817007Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:50:11.6865892Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:50:11.6907623Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:50:11.6957575Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:50:11.6998844Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:50:11.7039714Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:50:11.7086461Z Entering 'third_party/flash-attention' 2025-09-07T07:50:11.7132506Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:50:11.7179416Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:50:11.7229820Z Entering 'third_party/flatbuffers' 2025-09-07T07:50:11.7276475Z Entering 'third_party/fmt' 2025-09-07T07:50:11.7319154Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:50:11.7362884Z Entering 'third_party/gloo' 2025-09-07T07:50:11.7406528Z Entering 'third_party/googletest' 2025-09-07T07:50:11.7449990Z Entering 'third_party/ideep' 2025-09-07T07:50:11.7491218Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:50:11.7541602Z Entering 'third_party/ittapi' 2025-09-07T07:50:11.7585606Z Entering 'third_party/kineto' 2025-09-07T07:50:11.7628610Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:50:11.7669539Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:50:11.7713318Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:50:11.7755307Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:50:11.7797440Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:50:11.7838397Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:50:11.7883817Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:50:11.7926265Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:50:11.7968108Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:50:11.8010882Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:50:11.8055797Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:50:11.8096780Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:50:11.8140120Z Entering 'third_party/kleidiai' 2025-09-07T07:50:11.8184196Z Entering 'third_party/mimalloc' 2025-09-07T07:50:11.8227150Z Entering 'third_party/nlohmann' 2025-09-07T07:50:11.8271285Z Entering 'third_party/onnx' 2025-09-07T07:50:11.8329458Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:50:11.8377339Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:50:11.8421492Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:50:11.8462412Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:50:11.8503204Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:50:11.8544022Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:50:11.8586199Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:50:11.8627388Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:50:11.8667994Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:50:11.8707299Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:50:11.8750158Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:50:11.8794437Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:50:11.8854122Z Entering 'third_party/pocketfft' 2025-09-07T07:50:11.8896556Z Entering 'third_party/protobuf' 2025-09-07T07:50:11.8941644Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:50:11.8983171Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:50:11.9027415Z Entering 'third_party/psimd' 2025-09-07T07:50:11.9071911Z Entering 'third_party/pthreadpool' 2025-09-07T07:50:11.9115113Z Entering 'third_party/pybind11' 2025-09-07T07:50:11.9159896Z Entering 'third_party/python-peachpy' 2025-09-07T07:50:11.9203052Z Entering 'third_party/sleef' 2025-09-07T07:50:11.9246224Z Entering 'third_party/tensorpipe' 2025-09-07T07:50:11.9291008Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:50:11.9330928Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:50:11.9372485Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:50:11.9413789Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:50:11.9453687Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:50:11.9513383Z ##[endgroup] 2025-09-07T07:50:11.9552449Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T07:50:11.9577558Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:50:11.9764670Z Prepare all required actions 2025-09-07T07:50:11.9765135Z Getting action download info 2025-09-07T07:50:12.1361185Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T07:50:12.1361428Z env: 2025-09-07T07:50:12.1361596Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:12.1361786Z ##[endgroup] 2025-09-07T07:50:12.1395360Z ##[group]Run set -euo pipefail 2025-09-07T07:50:12.1395641Z set -euo pipefail 2025-09-07T07:50:12.1395866Z function get_ec2_metadata() { 2025-09-07T07:50:12.1396151Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T07:50:12.1396627Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T07:50:12.1397043Z  category=$1 2025-09-07T07:50:12.1397309Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T07:50:12.1397633Z  runner_name_str=i-0b7d0f7dc0527ca9b-1002 2025-09-07T07:50:12.1397929Z  if [[ -f /.inarc ]]; then 2025-09-07T07:50:12.1398181Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T07:50:12.1398704Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T07:50:12.1399043Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T07:50:12.1399370Z  else 2025-09-07T07:50:12.1399989Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-09-07T07:50:12.1400807Z  fi 2025-09-07T07:50:12.1400972Z } 2025-09-07T07:50:12.1401168Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T07:50:12.1401475Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T07:50:12.1401827Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T07:50:12.1402130Z echo "system info $(uname -a)" 2025-09-07T07:50:12.1416597Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:12.1416910Z env: 2025-09-07T07:50:12.1417075Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:12.1417265Z ##[endgroup] 2025-09-07T07:50:12.1456225Z ami-id: ARC Runner, no info on ec2 metadata 2025-09-07T07:50:12.1461966Z instance-id: ARC Runner, no info on ec2 metadata 2025-09-07T07:50:12.1467467Z instance-type: ARC Runner, no info on ec2 metadata 2025-09-07T07:50:12.1478834Z system info Linux 21c7d56f3067 6.8.0-1017-aws #18~22.04.1-Ubuntu SMP Thu Oct 3 19:57:42 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T07:50:12.1499461Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:50:12.1500138Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:50:12.1514900Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:12.1515187Z env: 2025-09-07T07:50:12.1515353Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:12.1515568Z ##[endgroup] 2025-09-07T07:50:12.1589951Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:50:12.1590180Z with: 2025-09-07T07:50:12.1590545Z shell: bash 2025-09-07T07:50:12.1590712Z timeout_minutes: 5 2025-09-07T07:50:12.1590884Z max_attempts: 3 2025-09-07T07:50:12.1591058Z retry_wait_seconds: 30 2025-09-07T07:50:12.1592975Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-09-07T07:50:12.1594611Z polling_interval_seconds: 1 2025-09-07T07:50:12.1594818Z warning_on_retry: true 2025-09-07T07:50:12.1595007Z continue_on_error: false 2025-09-07T07:50:12.1595188Z env: 2025-09-07T07:50:12.1595334Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:12.1595521Z AWS_RETRY_MODE: standard 2025-09-07T07:50:12.1595718Z AWS_MAX_ATTEMPTS: 5 2025-09-07T07:50:12.1595905Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T07:50:12.1596096Z ##[endgroup] 2025-09-07T07:50:13.6813914Z 2025-09-07T07:50:13.6814521Z WARNING! Your credentials are stored unencrypted in '/home/bob/.docker/config.json'. 2025-09-07T07:50:13.6815100Z Configure a credential helper to remove this warning. See 2025-09-07T07:50:13.6815547Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:50:13.6815782Z 2025-09-07T07:50:13.6815883Z Login Succeeded 2025-09-07T07:50:14.2309254Z Command completed after 1 attempt(s). 2025-09-07T07:50:14.2385159Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:50:14.2385581Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:50:14.2386345Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:50:14.2401082Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:14.2401380Z env: 2025-09-07T07:50:14.2401546Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:14.2401744Z ##[endgroup] 2025-09-07T07:50:14.2492287Z ##[group]Run set +e 2025-09-07T07:50:14.2492516Z set +e 2025-09-07T07:50:14.2492688Z set -x 2025-09-07T07:50:14.2492850Z  2025-09-07T07:50:14.2493041Z PT_DOMAIN=download.pytorch.org 2025-09-07T07:50:14.2493476Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T07:50:14.2494031Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T07:50:14.2494592Z # one is returned at random 2025-09-07T07:50:14.2494885Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T07:50:14.2495166Z  2025-09-07T07:50:14.2495335Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:50:14.2495643Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T07:50:14.2496020Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T07:50:14.2496292Z  2025-09-07T07:50:14.2496460Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:50:14.2496741Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T07:50:14.2497015Z  exit 1 2025-09-07T07:50:14.2497190Z  fi 2025-09-07T07:50:14.2497339Z fi 2025-09-07T07:50:14.2497497Z  2025-09-07T07:50:14.2497681Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T07:50:14.2497945Z  # Clean up any old records first 2025-09-07T07:50:14.2498202Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T07:50:14.2498435Z fi 2025-09-07T07:50:14.2498579Z  2025-09-07T07:50:14.2498800Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T07:50:14.2499078Z cat /etc/hosts 2025-09-07T07:50:14.2513999Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:14.2514287Z env: 2025-09-07T07:50:14.2514449Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:14.2514643Z ##[endgroup] 2025-09-07T07:50:14.2545750Z + PT_DOMAIN=download.pytorch.org 2025-09-07T07:50:14.2552277Z ++ dig -4 +short download.pytorch.org 2025-09-07T07:50:14.2553752Z ++ tail -n1 2025-09-07T07:50:14.2939694Z + RESOLVED_IP=3.170.131.102 2025-09-07T07:50:14.2939957Z + '[' -z 3.170.131.102 ']' 2025-09-07T07:50:14.2940379Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T07:50:14.2955317Z + echo '3.170.131.102 download.pytorch.org' 2025-09-07T07:50:14.2956764Z + sudo tee -a /etc/hosts 2025-09-07T07:50:14.3020650Z 3.170.131.102 download.pytorch.org 2025-09-07T07:50:14.3029297Z + cat /etc/hosts 2025-09-07T07:50:14.3037516Z 127.0.0.1 localhost 2025-09-07T07:50:14.3040972Z ::1 localhost ip6-localhost ip6-loopback 2025-09-07T07:50:14.3041276Z fe00:: ip6-localnet 2025-09-07T07:50:14.3041471Z ff00:: ip6-mcastprefix 2025-09-07T07:50:14.3041676Z ff02::1 ip6-allnodes 2025-09-07T07:50:14.3041870Z ff02::2 ip6-allrouters 2025-09-07T07:50:14.3042060Z 172.17.0.2 21c7d56f3067 2025-09-07T07:50:14.3042261Z 3.170.131.102 download.pytorch.org 2025-09-07T07:50:14.3058635Z ##[group]Run set +x 2025-09-07T07:50:14.3058833Z set +x 2025-09-07T07:50:14.3058991Z  2025-09-07T07:50:14.3059143Z max_attempts=30 2025-09-07T07:50:14.3059334Z delay=10 2025-09-07T07:50:14.3059497Z attempt=1 2025-09-07T07:50:14.3059673Z  2025-09-07T07:50:14.3059852Z for attempt in $(seq 1 $max_attempts); do 2025-09-07T07:50:14.3060408Z  echo "Attempt $attempt of $max_attempts: Checking if Docker daemon is running..." 2025-09-07T07:50:14.3060795Z  if docker info > /dev/null 2>&1; then 2025-09-07T07:50:14.3061436Z  echo "Docker is running. Proceeding with the next steps" 2025-09-07T07:50:14.3061735Z  exit 0 2025-09-07T07:50:14.3061905Z  else 2025-09-07T07:50:14.3062097Z  echo "Docker is not running yet." 2025-09-07T07:50:14.3062360Z  echo "Retrying in $delay seconds..." 2025-09-07T07:50:14.3062610Z  sleep $delay 2025-09-07T07:50:14.3062879Z  fi 2025-09-07T07:50:14.3063037Z done 2025-09-07T07:50:14.3063306Z echo "Reached maximum attempts to connect to Docker. Exiting." 2025-09-07T07:50:14.3074965Z exit 1 2025-09-07T07:50:14.3087972Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:14.3088260Z env: 2025-09-07T07:50:14.3088430Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:14.3088624Z ##[endgroup] 2025-09-07T07:50:14.3129662Z Attempt 1 of 30: Checking if Docker daemon is running... 2025-09-07T07:50:14.3590118Z Docker is running. Proceeding with the next steps 2025-09-07T07:50:14.3713461Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T07:50:14.3713844Z with: 2025-09-07T07:50:14.3714515Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:14.3715253Z use-custom-docker-registry: true 2025-09-07T07:50:14.3715478Z docker-build-dir: .ci/docker 2025-09-07T07:50:14.3715695Z docker-build-script: ./build.sh 2025-09-07T07:50:14.3715926Z working-directory: . 2025-09-07T07:50:14.3716186Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:14.3716481Z force-push: false 2025-09-07T07:50:14.3716654Z env: 2025-09-07T07:50:14.3716819Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:14.3717021Z ##[endgroup] 2025-09-07T07:50:14.3733513Z ##[group]Run set -ex 2025-09-07T07:50:14.3733757Z set -ex 2025-09-07T07:50:14.3733959Z  2025-09-07T07:50:14.3734284Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T07:50:14.3734761Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T07:50:14.3735165Z # job could then download the pre-built image as usual 2025-09-07T07:50:14.3735748Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T07:50:14.3736212Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T07:50:14.3736452Z else 2025-09-07T07:50:14.3736663Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:50:14.3736986Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:50:14.3737284Z  2025-09-07T07:50:14.3737709Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T07:50:14.3738184Z  exit 0 2025-09-07T07:50:14.3738346Z fi 2025-09-07T07:50:14.3738508Z  2025-09-07T07:50:14.3738773Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T07:50:14.3739208Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T07:50:14.3739593Z  # use it as it is, but first let's extract the tag 2025-09-07T07:50:14.3739935Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T07:50:14.3740703Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:50:14.3741073Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:50:14.3741372Z else 2025-09-07T07:50:14.3741576Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T07:50:14.3741851Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T07:50:14.3742389Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T07:50:14.3742659Z  fi 2025-09-07T07:50:14.3743096Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T07:50:14.3743535Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:50:14.3744013Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:50:14.3744524Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:50:14.3744840Z fi 2025-09-07T07:50:14.3759366Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:14.3759667Z env: 2025-09-07T07:50:14.3759828Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:14.3760047Z REPO_NAME: pytorch 2025-09-07T07:50:14.3761153Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:14.3761907Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:50:14.3762115Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T07:50:14.3762397Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:14.3762691Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T07:50:14.3762906Z CUSTOM_TAG_PREFIX: 2025-09-07T07:50:14.3763081Z ##[endgroup] 2025-09-07T07:50:14.3792195Z + [[ -d .ci/docker ]] 2025-09-07T07:50:14.3792436Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T07:50:14.3792663Z + [[ true == \t\r\u\e ]] 2025-09-07T07:50:14.3792864Z + echo skip=false 2025-09-07T07:50:14.3793740Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-09-07T07:50:14.3800102Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:14.3801201Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T07:50:14.3814291Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:14.3815269Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:14.3816690Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:14.3837033Z ##[group]Run set +e 2025-09-07T07:50:14.3837273Z set +e 2025-09-07T07:50:14.3837462Z set -x 2025-09-07T07:50:14.3837646Z  2025-09-07T07:50:14.3837806Z login() { 2025-09-07T07:50:14.3838181Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:50:14.3838567Z } 2025-09-07T07:50:14.3838732Z  2025-09-07T07:50:14.3838886Z retry () { 2025-09-07T07:50:14.3839087Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:50:14.3839323Z } 2025-09-07T07:50:14.3839483Z  2025-09-07T07:50:14.3839650Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:50:14.3839877Z  2025-09-07T07:50:14.3840054Z START_TIME=$(date +%s) 2025-09-07T07:50:14.3840477Z # Wait up to 120 minutes 2025-09-07T07:50:14.3840746Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T07:50:14.3841105Z  # Check if image already exists, if it does then skip building it 2025-09-07T07:50:14.3841457Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T07:50:14.3841718Z  exit 0 2025-09-07T07:50:14.3842119Z  fi 2025-09-07T07:50:14.3842282Z  2025-09-07T07:50:14.3842572Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T07:50:14.3843046Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T07:50:14.3843511Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T07:50:14.3843878Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T07:50:14.3844175Z  # It's a Docker build job, let's build the image 2025-09-07T07:50:14.3844432Z  break 2025-09-07T07:50:14.3844609Z  else 2025-09-07T07:50:14.3844861Z  # It's a regular build job, wait for the image to become available 2025-09-07T07:50:14.3845157Z  sleep 300 2025-09-07T07:50:14.3845344Z  fi 2025-09-07T07:50:14.3845509Z done 2025-09-07T07:50:14.3845682Z  2025-09-07T07:50:14.3846091Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T07:50:14.3846495Z # be empty. The default action would be to continue rebuild the image 2025-09-07T07:50:14.3846874Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T07:50:14.3847201Z  # if we're on the base branch then use the parent commit 2025-09-07T07:50:14.3847500Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T07:50:14.3847732Z else 2025-09-07T07:50:14.3847965Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T07:50:14.3848303Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T07:50:14.3848565Z fi 2025-09-07T07:50:14.3848722Z  2025-09-07T07:50:14.3848890Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T07:50:14.3849149Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:50:14.3849392Z  2025-09-07T07:50:14.3849733Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T07:50:14.3850115Z  exit 0 2025-09-07T07:50:14.3850439Z fi 2025-09-07T07:50:14.3850595Z  2025-09-07T07:50:14.3850816Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T07:50:14.3851298Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T07:50:14.3851701Z  exit 1 2025-09-07T07:50:14.3851862Z fi 2025-09-07T07:50:14.3852012Z  2025-09-07T07:50:14.3852271Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T07:50:14.3852732Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T07:50:14.3853163Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T07:50:14.3853668Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T07:50:14.3854208Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T07:50:14.3854533Z fi 2025-09-07T07:50:14.3854682Z  2025-09-07T07:50:14.3854873Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:50:14.3868130Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:14.3868416Z env: 2025-09-07T07:50:14.3868578Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:14.3868775Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:50:14.3869024Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:50:14.3869768Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:14.3871107Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:14.3871691Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:14.3871968Z DOCKER_PUSH: 2025-09-07T07:50:14.3872134Z ##[endgroup] 2025-09-07T07:50:14.3901438Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:14.3901783Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:14.3903892Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:50:14.3906230Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:15.1767539Z 2025-09-07T07:50:15.1768145Z WARNING! Your credentials are stored unencrypted in '/home/bob/.docker/config.json'. 2025-09-07T07:50:15.1768831Z Configure a credential helper to remove this warning. See 2025-09-07T07:50:15.1769260Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:50:15.1769493Z 2025-09-07T07:50:15.1769600Z Login Succeeded 2025-09-07T07:50:15.1793858Z ++ date +%s 2025-09-07T07:50:15.1805616Z + START_TIME=1757231415 2025-09-07T07:50:15.1809835Z ++ date +%s 2025-09-07T07:50:15.1819637Z + [[ 1757224215 -lt 1757231415 ]] 2025-09-07T07:50:15.1820694Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:15.5880697Z { 2025-09-07T07:50:15.5880905Z "schemaVersion": 2, 2025-09-07T07:50:15.5881258Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T07:50:15.5881614Z "config": { 2025-09-07T07:50:15.5881880Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T07:50:15.5882211Z "size": 31375, 2025-09-07T07:50:15.5882551Z "digest": 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"sha256:ddc91b09189afc218499daee92ebc22c6deefb22ee115c52c07627ecbaf7b9d5" 2025-09-07T07:50:15.5933076Z }, 2025-09-07T07:50:15.5933209Z { 2025-09-07T07:50:15.5933443Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5933729Z "size": 640, 2025-09-07T07:50:15.5934009Z "digest": "sha256:7540c74286279d1d6a29cdb51d3421e64860c6af74ca4a95736725c0509791ed" 2025-09-07T07:50:15.5934327Z }, 2025-09-07T07:50:15.5934459Z { 2025-09-07T07:50:15.5934679Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5934964Z "size": 724, 2025-09-07T07:50:15.5935261Z "digest": "sha256:553c1d23b6c4dbd8ab136d0c3659460391ffa14cb9b43be9d7b2f47f90895697" 2025-09-07T07:50:15.5935587Z }, 2025-09-07T07:50:15.5935714Z { 2025-09-07T07:50:15.5935947Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5936231Z "size": 149, 2025-09-07T07:50:15.5936503Z "digest": "sha256:003c4e2598fb39f97ec7734271e034a48a3956a58429c9d06601770c2c40de11" 2025-09-07T07:50:15.5936812Z }, 2025-09-07T07:50:15.5936947Z { 2025-09-07T07:50:15.5937169Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5937459Z "size": 135, 2025-09-07T07:50:15.5937733Z "digest": "sha256:5687149362ae68fa2aa7d4ecd39fbf7ea86c0f6ced36a71f3c59f68f6c465cfc" 2025-09-07T07:50:15.5938063Z }, 2025-09-07T07:50:15.5938196Z { 2025-09-07T07:50:15.5938429Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5938711Z "size": 141, 2025-09-07T07:50:15.5939002Z "digest": "sha256:cdd2cf54eb2a3d8d034aa1556c9724d240b06397ba08f8b13b0bed6d65755aeb" 2025-09-07T07:50:15.5939344Z }, 2025-09-07T07:50:15.5939481Z { 2025-09-07T07:50:15.5939706Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5939998Z "size": 18615922074, 2025-09-07T07:50:15.5940443Z "digest": "sha256:d3ad4df1ba3a86ef1f84c427aae440ff027d483949d48eec4be6135260668cad" 2025-09-07T07:50:15.5940779Z }, 2025-09-07T07:50:15.5940908Z { 2025-09-07T07:50:15.5941130Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5941420Z "size": 223, 2025-09-07T07:50:15.5941701Z "digest": "sha256:3c9055753b4c79d74c707a91d8626ce10bc439129ba10dad3ebc643d9d4955dd" 2025-09-07T07:50:15.5942023Z }, 2025-09-07T07:50:15.5942161Z { 2025-09-07T07:50:15.5942387Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5942677Z "size": 353035275, 2025-09-07T07:50:15.5943058Z "digest": "sha256:31cf8d0bd21c76ae21f73d8b19b30949d161a498354f54191b4e5a294e929701" 2025-09-07T07:50:15.5943532Z }, 2025-09-07T07:50:15.5943670Z { 2025-09-07T07:50:15.5943915Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5944215Z "size": 6523020957, 2025-09-07T07:50:15.5944512Z "digest": "sha256:6623ea81497183b62e034e4ea8df8bf00fa75aaa192eea2821b2dd8655383b8f" 2025-09-07T07:50:15.5944840Z }, 2025-09-07T07:50:15.5944973Z { 2025-09-07T07:50:15.5945200Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5945481Z "size": 129, 2025-09-07T07:50:15.5945758Z "digest": "sha256:11696c3aa3808236d49256bc170b49d55cf657e499592b39b4856f6137220f55" 2025-09-07T07:50:15.5946079Z }, 2025-09-07T07:50:15.5946214Z { 2025-09-07T07:50:15.5946431Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5946717Z "size": 778, 2025-09-07T07:50:15.5947001Z "digest": "sha256:ef4d544e35cacc73a229bcbc7a5510f8b156c7b3041f19f3a274562cd97cfd94" 2025-09-07T07:50:15.5947335Z }, 2025-09-07T07:50:15.5947465Z { 2025-09-07T07:50:15.5947812Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5948109Z "size": 724, 2025-09-07T07:50:15.5948395Z "digest": "sha256:553c1d23b6c4dbd8ab136d0c3659460391ffa14cb9b43be9d7b2f47f90895697" 2025-09-07T07:50:15.5948724Z }, 2025-09-07T07:50:15.5948860Z { 2025-09-07T07:50:15.5949081Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5949366Z "size": 141, 2025-09-07T07:50:15.5949636Z "digest": "sha256:5c5108865e5e293209ae9bae8a29645035242e7e4b4433208a777496fddc988c" 2025-09-07T07:50:15.5949950Z }, 2025-09-07T07:50:15.5950083Z { 2025-09-07T07:50:15.5950456Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5950750Z "size": 32, 2025-09-07T07:50:15.5951038Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:50:15.5951367Z }, 2025-09-07T07:50:15.5951513Z { 2025-09-07T07:50:15.5951748Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5952035Z "size": 159, 2025-09-07T07:50:15.5952312Z "digest": "sha256:9e97578e9edf1a11187740a5aa102633331fb6a714d0ed48683782de5a36fbd8" 2025-09-07T07:50:15.5952629Z }, 2025-09-07T07:50:15.5952755Z { 2025-09-07T07:50:15.5952975Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5963367Z "size": 1012, 2025-09-07T07:50:15.5963734Z "digest": "sha256:da5a91b54cb51f851560992645bc203f2287d9b1d7a4f04f7f4ea7efe45036ce" 2025-09-07T07:50:15.5964093Z }, 2025-09-07T07:50:15.5964238Z { 2025-09-07T07:50:15.5964490Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5964802Z "size": 724, 2025-09-07T07:50:15.5965106Z "digest": "sha256:553c1d23b6c4dbd8ab136d0c3659460391ffa14cb9b43be9d7b2f47f90895697" 2025-09-07T07:50:15.5965438Z }, 2025-09-07T07:50:15.5965576Z { 2025-09-07T07:50:15.5965817Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5966140Z "size": 135, 2025-09-07T07:50:15.5966433Z "digest": "sha256:1e93be219e89e7733b91ba7e3af1a44d985e84959f732ecd5f5ca61bd13b5d41" 2025-09-07T07:50:15.5966760Z }, 2025-09-07T07:50:15.5966889Z { 2025-09-07T07:50:15.5967114Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5967399Z "size": 32, 2025-09-07T07:50:15.5967686Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:50:15.5968015Z }, 2025-09-07T07:50:15.5968149Z { 2025-09-07T07:50:15.5968373Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5968655Z "size": 158, 2025-09-07T07:50:15.5968925Z "digest": "sha256:136825afebb533ee295f0d2523595281086c6410c60d5f712b84cefd24cb31d5" 2025-09-07T07:50:15.5969257Z }, 2025-09-07T07:50:15.5969391Z { 2025-09-07T07:50:15.5969615Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5970125Z "size": 1368, 2025-09-07T07:50:15.5970574Z "digest": "sha256:22b39805302d877e4c1ba433ebc36520438ea29a9ba8bc059efbcd9106f3a82d" 2025-09-07T07:50:15.5970900Z }, 2025-09-07T07:50:15.5971036Z { 2025-09-07T07:50:15.5971252Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5971541Z "size": 32, 2025-09-07T07:50:15.5971830Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:50:15.5972172Z }, 2025-09-07T07:50:15.5972308Z { 2025-09-07T07:50:15.5972533Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5972816Z "size": 136, 2025-09-07T07:50:15.5973099Z "digest": "sha256:d12add675e3505e74eb9880eeef540ea0801282ca1ae01c3c221157cec91f5ae" 2025-09-07T07:50:15.5973419Z }, 2025-09-07T07:50:15.5973553Z { 2025-09-07T07:50:15.5973773Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5974060Z "size": 380, 2025-09-07T07:50:15.5974486Z "digest": "sha256:bc127046d33a7a98563698411b54ece8a167d520922879d7b69e8ca73a12d034" 2025-09-07T07:50:15.5974873Z }, 2025-09-07T07:50:15.5975009Z { 2025-09-07T07:50:15.5975236Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5975518Z "size": 32, 2025-09-07T07:50:15.5975799Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:50:15.5976124Z }, 2025-09-07T07:50:15.5976260Z { 2025-09-07T07:50:15.5976473Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5976761Z "size": 104, 2025-09-07T07:50:15.5977037Z "digest": "sha256:951e8ce838415c4257680a9d60d216f3750cbb18d243d9a21e2008cce7e589cf" 2025-09-07T07:50:15.5977353Z }, 2025-09-07T07:50:15.5977479Z { 2025-09-07T07:50:15.5977702Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5977987Z "size": 408, 2025-09-07T07:50:15.5978270Z "digest": "sha256:32340b97ae50ba7b2918ab40d6f4a8db875afee69318f484e4deb0a1e2ec4beb" 2025-09-07T07:50:15.5978595Z }, 2025-09-07T07:50:15.5978731Z { 2025-09-07T07:50:15.5978961Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5979244Z "size": 32, 2025-09-07T07:50:15.5979518Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:50:15.5979842Z }, 2025-09-07T07:50:15.5979972Z { 2025-09-07T07:50:15.5980189Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5980605Z "size": 109, 2025-09-07T07:50:15.5980893Z "digest": "sha256:5bbb04cd6b57ae13d7cf05ab9e9b4ed9752833ee2dba4eeaac47bde6022c4725" 2025-09-07T07:50:15.5981223Z }, 2025-09-07T07:50:15.5981355Z { 2025-09-07T07:50:15.5981571Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5981852Z "size": 1897, 2025-09-07T07:50:15.5982156Z "digest": "sha256:d8c4b845cfc7ca7cc0604f472bf6da8b1f1d4e98dff3c76e1985a7013a5b9e3f" 2025-09-07T07:50:15.5982517Z + exit 0 2025-09-07T07:50:15.5982658Z }, 2025-09-07T07:50:15.5982859Z { 2025-09-07T07:50:15.5983083Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5983374Z "size": 243440375, 2025-09-07T07:50:15.5983671Z "digest": "sha256:b35c180f4d8ddc2396eac4a6b893f438481a8163ceb0b88f203488bc5f2a8ba4" 2025-09-07T07:50:15.5983988Z }, 2025-09-07T07:50:15.5984122Z { 2025-09-07T07:50:15.5984342Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5984623Z "size": 106, 2025-09-07T07:50:15.5984890Z "digest": "sha256:5f967b3c303a99e609441551f7c8988cca4fd464c0c3127506bff8509583091b" 2025-09-07T07:50:15.5985208Z }, 2025-09-07T07:50:15.5985351Z { 2025-09-07T07:50:15.5985572Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5985849Z "size": 166, 2025-09-07T07:50:15.5986125Z "digest": "sha256:04770904f012e5584f1c19a0bc92d9863baaebf08bf75b4a9981f2b7795c8953" 2025-09-07T07:50:15.5986631Z }, 2025-09-07T07:50:15.5986768Z { 2025-09-07T07:50:15.5986995Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5987278Z "size": 7943, 2025-09-07T07:50:15.5987560Z "digest": "sha256:73373941fb321b4cb4a171b1423a68a4c7fedada3a1498868d7efe93cb03170e" 2025-09-07T07:50:15.5987880Z }, 2025-09-07T07:50:15.5988006Z { 2025-09-07T07:50:15.5988225Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5988509Z "size": 8072, 2025-09-07T07:50:15.5988793Z "digest": "sha256:9572e6cd907bfa4888456dbccc6e22146a0044374585f3fa0a8ced19b831ed62" 2025-09-07T07:50:15.5989119Z }, 2025-09-07T07:50:15.5989258Z { 2025-09-07T07:50:15.5989474Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5989750Z "size": 304, 2025-09-07T07:50:15.5990018Z "digest": "sha256:64a544aba233551e38898f138dd6ba3161ccdb9554e0ffb5b9d8f0f7fe4a7fa8" 2025-09-07T07:50:15.5990483Z }, 2025-09-07T07:50:15.5990629Z { 2025-09-07T07:50:15.5990999Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5991296Z "size": 13362696, 2025-09-07T07:50:15.5991581Z "digest": "sha256:7e35418a24997de5428763c93826679486760a1a9563209ae64de66ba45f99c1" 2025-09-07T07:50:15.5991898Z }, 2025-09-07T07:50:15.5992030Z { 2025-09-07T07:50:15.5992243Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5992524Z "size": 108, 2025-09-07T07:50:15.5992807Z "digest": "sha256:2ed8e82748d4a1131f41d9e41322f47a6ffef67a5a2b7bf5392237db5c035c61" 2025-09-07T07:50:15.5993138Z }, 2025-09-07T07:50:15.5993268Z { 2025-09-07T07:50:15.5993492Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5993782Z "size": 54145663, 2025-09-07T07:50:15.5994079Z "digest": "sha256:c988fbcccd708fb158a81c429d32e1060a7e40924fc3c987c629fa69d9484717" 2025-09-07T07:50:15.5994417Z }, 2025-09-07T07:50:15.5994563Z { 2025-09-07T07:50:15.5994804Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:15.5995103Z "size": 32, 2025-09-07T07:50:15.5995398Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:50:15.5995732Z } 2025-09-07T07:50:15.5995871Z ] 2025-09-07T07:50:15.5996010Z } 2025-09-07T07:50:15.6018350Z ##[group]Run set -eux 2025-09-07T07:50:15.6018567Z set -eux 2025-09-07T07:50:15.6018869Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T07:50:15.6019680Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-09-07T07:50:15.6035050Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:15.6035339Z env: 2025-09-07T07:50:15.6035502Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:15.6035704Z ##[endgroup] 2025-09-07T07:50:15.6070339Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T07:50:15.6070799Z + jq --raw-output .SecretString 2025-09-07T07:50:15.6071703Z + jq -r .docker_hub_readonly_token 2025-09-07T07:50:15.6074688Z + docker login --username pytorchbot --password-stdin 2025-09-07T07:50:16.1921833Z 2025-09-07T07:50:16.1924352Z An error occurred (AccessDeniedException) when calling the GetSecretValue operation: User: arn:aws:sts::308535385114:assumed-role/gh-ci-github-action-runners-runner-role/i-0b7d0f7dc0527ca9b is not authorized to perform: secretsmanager:GetSecretValue on resource: docker_hub_readonly_token because no identity-based policy allows the secretsmanager:GetSecretValue action 2025-09-07T07:50:16.2620703Z Error: Cannot perform an interactive login from a non TTY device 2025-09-07T07:50:16.2642372Z + true 2025-09-07T07:50:16.2704211Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:50:16.2704538Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:50:16.2705094Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T07:50:16.2719745Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:16.2720030Z env: 2025-09-07T07:50:16.2720383Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:16.2721105Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:16.2721801Z ##[endgroup] 2025-09-07T07:50:16.2754857Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:16.2791449Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T07:50:16.2791794Z with: 2025-09-07T07:50:16.2792454Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:16.2793243Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:16.2793525Z env: 2025-09-07T07:50:16.2793682Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:16.2793875Z ##[endgroup] 2025-09-07T07:50:16.2805848Z ##[group]Run set -x 2025-09-07T07:50:16.2806046Z set -x 2025-09-07T07:50:16.2806211Z set +e 2025-09-07T07:50:16.2806368Z  2025-09-07T07:50:16.2806515Z login() { 2025-09-07T07:50:16.2806863Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:50:16.2807237Z } 2025-09-07T07:50:16.2807389Z  2025-09-07T07:50:16.2807561Z retry () { 2025-09-07T07:50:16.2807760Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:50:16.2807990Z } 2025-09-07T07:50:16.2808159Z  2025-09-07T07:50:16.2808329Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:50:16.2808561Z  2025-09-07T07:50:16.2808911Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T07:50:16.2809401Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T07:50:16.2809667Z  2025-09-07T07:50:16.2809820Z set -e 2025-09-07T07:50:16.2810061Z # ignore output since only exit code is used for conditional 2025-09-07T07:50:16.2810597Z # only pull docker image if it's not available locally 2025-09-07T07:50:16.2810986Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T07:50:16.2811368Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T07:50:16.2811598Z fi 2025-09-07T07:50:16.2824777Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:16.2825066Z env: 2025-09-07T07:50:16.2825228Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:16.2825911Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:16.2826696Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:16.2826973Z ##[endgroup] 2025-09-07T07:50:16.2854792Z + set +e 2025-09-07T07:50:16.2855159Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:16.2855514Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:16.2859348Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:50:16.2860699Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:17.0712169Z 2025-09-07T07:50:17.0712314Z Login Succeeded 2025-09-07T07:50:17.0712743Z WARNING! Your credentials are stored unencrypted in '/home/bob/.docker/config.json'. 2025-09-07T07:50:17.0713259Z Configure a credential helper to remove this warning. See 2025-09-07T07:50:17.0713636Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:50:17.0714671Z 2025-09-07T07:50:17.0744318Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:17.0745287Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T07:50:17.4588851Z + IMAGE_SIZE=36183.606596946716 2025-09-07T07:50:17.4589208Z + echo 'Compressed size of image in MB: 36183.606596946716' 2025-09-07T07:50:17.4589524Z + set -e 2025-09-07T07:50:17.4589756Z Compressed size of image in MB: 36183.606596946716 2025-09-07T07:50:17.4591414Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:17.4717689Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:17.4719213Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:17.8200154Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T07:50:17.8201476Z e6fdc8487bfe: Pulling fs layer 2025-09-07T07:50:17.8201781Z 171dcef20c49: Pulling fs layer 2025-09-07T07:50:17.8202065Z 4c92b3f72f1d: Pulling fs layer 2025-09-07T07:50:17.8202342Z 744f9ba90a65: Pulling fs layer 2025-09-07T07:50:17.8202670Z d3c08322a332: Pulling fs layer 2025-09-07T07:50:17.8202952Z ffd43b71f3cc: Pulling fs layer 2025-09-07T07:50:17.8203217Z 830692b57f6e: Pulling fs layer 2025-09-07T07:50:17.8203491Z 5bad36d18468: Pulling fs layer 2025-09-07T07:50:17.8203764Z 0e34fdd9ac5c: Pulling fs layer 2025-09-07T07:50:17.8204034Z 3c868a62868e: Pulling fs layer 2025-09-07T07:50:17.8204349Z 62170a22dd57: Pulling fs layer 2025-09-07T07:50:17.8204620Z 553c1d23b6c4: Pulling fs layer 2025-09-07T07:50:17.8204880Z 744f9ba90a65: Waiting 2025-09-07T07:50:17.8205124Z 9408d557a804: Pulling fs layer 2025-09-07T07:50:17.8205387Z df607cfc7c07: Pulling fs layer 2025-09-07T07:50:17.8205660Z ffd43b71f3cc: Waiting 2025-09-07T07:50:17.8205901Z 4f4fb700ef54: Pulling fs layer 2025-09-07T07:50:17.8206167Z 40a8e39faeda: Pulling fs layer 2025-09-07T07:50:17.8206430Z d895771c9fac: Pulling fs layer 2025-09-07T07:50:17.8206728Z d3c08322a332: Waiting 2025-09-07T07:50:17.8206948Z 830692b57f6e: Waiting 2025-09-07T07:50:17.8207179Z c4ee04f39d49: Pulling fs layer 2025-09-07T07:50:17.8207462Z 3690c9826e48: Pulling fs layer 2025-09-07T07:50:17.8207728Z 57cbc5013733: Pulling fs layer 2025-09-07T07:50:17.8207981Z 5bad36d18468: Waiting 2025-09-07T07:50:17.8208214Z f5f4b06b58bb: Pulling fs layer 2025-09-07T07:50:17.8208475Z 0e34fdd9ac5c: Waiting 2025-09-07T07:50:17.8208676Z f59713ce4bf4: Pulling fs layer 2025-09-07T07:50:17.8208885Z 62170a22dd57: Waiting 2025-09-07T07:50:17.8209067Z 553c1d23b6c4: Waiting 2025-09-07T07:50:17.8209255Z fe0486521517: Pulling fs layer 2025-09-07T07:50:17.8209453Z 9408d557a804: Waiting 2025-09-07T07:50:17.8209635Z df607cfc7c07: Waiting 2025-09-07T07:50:17.8209827Z 8c21cc3715a2: Pulling fs layer 2025-09-07T07:50:17.8210032Z 3690c9826e48: Waiting 2025-09-07T07:50:17.8210378Z 40a8e39faeda: Waiting 2025-09-07T07:50:17.8210574Z d37c58456a6a: Pulling fs layer 2025-09-07T07:50:17.8210793Z d042f63abc13: Pulling fs layer 2025-09-07T07:50:17.8211001Z 3c868a62868e: Waiting 2025-09-07T07:50:17.8211184Z 621284a9c05a: Pulling fs layer 2025-09-07T07:50:17.8211390Z fe0486521517: Waiting 2025-09-07T07:50:17.8211575Z f5f4b06b58bb: Waiting 2025-09-07T07:50:17.8211750Z 8c21cc3715a2: Waiting 2025-09-07T07:50:17.8211931Z f59713ce4bf4: Waiting 2025-09-07T07:50:17.8212126Z 85f605d2dd3a: Pulling fs layer 2025-09-07T07:50:17.8212341Z d37c58456a6a: Waiting 2025-09-07T07:50:17.8212899Z c4ee04f39d49: Waiting 2025-09-07T07:50:17.8213083Z d042f63abc13: Waiting 2025-09-07T07:50:17.8213273Z 381b5539e598: Pulling fs layer 2025-09-07T07:50:17.8213478Z 621284a9c05a: Waiting 2025-09-07T07:50:17.8213651Z d895771c9fac: Waiting 2025-09-07T07:50:17.8213833Z 85f605d2dd3a: Waiting 2025-09-07T07:50:17.8214014Z 381b5539e598: Waiting 2025-09-07T07:50:17.8214200Z a487c0c80029: Pulling fs layer 2025-09-07T07:50:17.8214411Z 57cbc5013733: Waiting 2025-09-07T07:50:17.8214603Z 48bcb81e2566: Pulling fs layer 2025-09-07T07:50:17.8214812Z a487c0c80029: Waiting 2025-09-07T07:50:17.8214996Z 4f4fb700ef54: Waiting 2025-09-07T07:50:17.8215190Z e261928c0043: Pulling fs layer 2025-09-07T07:50:17.8215406Z 48bcb81e2566: Waiting 2025-09-07T07:50:17.8215784Z 0fea55428091: Pulling fs layer 2025-09-07T07:50:17.8215998Z e261928c0043: Waiting 2025-09-07T07:50:17.8216183Z b4291bccbb84: Pulling fs layer 2025-09-07T07:50:17.8216398Z ddc91b09189a: Pulling fs layer 2025-09-07T07:50:17.8216613Z 7540c7428627: Pulling fs layer 2025-09-07T07:50:17.8216828Z b4291bccbb84: Waiting 2025-09-07T07:50:17.8217009Z 0fea55428091: Waiting 2025-09-07T07:50:17.8217188Z ddc91b09189a: Waiting 2025-09-07T07:50:17.8217374Z 003c4e2598fb: Pulling fs layer 2025-09-07T07:50:17.8217584Z 5687149362ae: Pulling fs layer 2025-09-07T07:50:17.8217779Z 003c4e2598fb: Waiting 2025-09-07T07:50:17.8217966Z cdd2cf54eb2a: Pulling fs layer 2025-09-07T07:50:17.8218185Z 7540c7428627: Waiting 2025-09-07T07:50:17.8218360Z 5687149362ae: Waiting 2025-09-07T07:50:17.8218551Z d3ad4df1ba3a: Pulling fs layer 2025-09-07T07:50:17.8218771Z 3c9055753b4c: Pulling fs layer 2025-09-07T07:50:17.8218984Z 31cf8d0bd21c: Pulling fs layer 2025-09-07T07:50:17.8219187Z 6623ea814971: Pulling fs layer 2025-09-07T07:50:17.8219385Z cdd2cf54eb2a: Waiting 2025-09-07T07:50:17.8219562Z 11696c3aa380: Pulling fs layer 2025-09-07T07:50:17.8219761Z ef4d544e35ca: Pulling fs layer 2025-09-07T07:50:17.8219950Z d3ad4df1ba3a: Waiting 2025-09-07T07:50:17.8220111Z 3c9055753b4c: Waiting 2025-09-07T07:50:17.8220438Z 5c5108865e5e: Pulling fs layer 2025-09-07T07:50:17.8220665Z ef4d544e35ca: Waiting 2025-09-07T07:50:17.8220838Z 6623ea814971: Waiting 2025-09-07T07:50:17.8220995Z 5c5108865e5e: Waiting 2025-09-07T07:50:17.8221158Z 31cf8d0bd21c: Waiting 2025-09-07T07:50:17.8221335Z 9e97578e9edf: Pulling fs layer 2025-09-07T07:50:17.8221522Z 11696c3aa380: Waiting 2025-09-07T07:50:17.8221687Z da5a91b54cb5: Pulling fs layer 2025-09-07T07:50:17.8221881Z 1e93be219e89: Pulling fs layer 2025-09-07T07:50:17.8222086Z 136825afebb5: Pulling fs layer 2025-09-07T07:50:17.8222280Z 22b39805302d: Pulling fs layer 2025-09-07T07:50:17.8222466Z d12add675e35: Pulling fs layer 2025-09-07T07:50:17.8222649Z 136825afebb5: Waiting 2025-09-07T07:50:17.8222936Z da5a91b54cb5: Waiting 2025-09-07T07:50:17.8223106Z 9e97578e9edf: Waiting 2025-09-07T07:50:17.8223273Z bc127046d33a: Pulling fs layer 2025-09-07T07:50:17.8223456Z 22b39805302d: Waiting 2025-09-07T07:50:17.8223618Z 1e93be219e89: Waiting 2025-09-07T07:50:17.8223781Z d12add675e35: Waiting 2025-09-07T07:50:17.8223950Z 951e8ce83841: Pulling fs layer 2025-09-07T07:50:17.8224139Z bc127046d33a: Waiting 2025-09-07T07:50:17.8224320Z 32340b97ae50: Pulling fs layer 2025-09-07T07:50:17.8224522Z 5bbb04cd6b57: Pulling fs layer 2025-09-07T07:50:17.8224712Z d8c4b845cfc7: Pulling fs layer 2025-09-07T07:50:17.8224908Z b35c180f4d8d: Pulling fs layer 2025-09-07T07:50:17.8225099Z 5f967b3c303a: Pulling fs layer 2025-09-07T07:50:17.8225285Z 04770904f012: Pulling fs layer 2025-09-07T07:50:17.8225459Z b35c180f4d8d: Waiting 2025-09-07T07:50:17.8225626Z 73373941fb32: Pulling fs layer 2025-09-07T07:50:17.8225805Z d8c4b845cfc7: Waiting 2025-09-07T07:50:17.8225972Z 32340b97ae50: Waiting 2025-09-07T07:50:17.8226149Z 9572e6cd907b: Pulling fs layer 2025-09-07T07:50:17.8226338Z 04770904f012: Waiting 2025-09-07T07:50:17.8226500Z 951e8ce83841: Waiting 2025-09-07T07:50:17.8226662Z 64a544aba233: Pulling fs layer 2025-09-07T07:50:17.8226848Z 5f967b3c303a: Waiting 2025-09-07T07:50:17.8227012Z 9572e6cd907b: Waiting 2025-09-07T07:50:17.8227173Z 5bbb04cd6b57: Waiting 2025-09-07T07:50:17.8227523Z 7e35418a2499: Pulling fs layer 2025-09-07T07:50:17.8227725Z 73373941fb32: Waiting 2025-09-07T07:50:17.8227892Z 64a544aba233: Waiting 2025-09-07T07:50:17.8228063Z 2ed8e82748d4: Pulling fs layer 2025-09-07T07:50:17.8228254Z c988fbcccd70: Pulling fs layer 2025-09-07T07:50:17.8228438Z 7e35418a2499: Waiting 2025-09-07T07:50:17.8228598Z 2ed8e82748d4: Waiting 2025-09-07T07:50:17.8228765Z c988fbcccd70: Waiting 2025-09-07T07:50:17.9539473Z 171dcef20c49: Verifying Checksum 2025-09-07T07:50:17.9539845Z 171dcef20c49: Download complete 2025-09-07T07:50:18.1006212Z 744f9ba90a65: Verifying Checksum 2025-09-07T07:50:18.1006545Z 744f9ba90a65: Download complete 2025-09-07T07:50:18.2335876Z d3c08322a332: Verifying Checksum 2025-09-07T07:50:18.2336198Z d3c08322a332: Download complete 2025-09-07T07:50:18.2594459Z e6fdc8487bfe: Verifying Checksum 2025-09-07T07:50:18.2594743Z e6fdc8487bfe: Download complete 2025-09-07T07:50:18.3889062Z ffd43b71f3cc: Verifying Checksum 2025-09-07T07:50:18.3889424Z ffd43b71f3cc: Download complete 2025-09-07T07:50:18.4017196Z 830692b57f6e: Download complete 2025-09-07T07:50:18.5481772Z 5bad36d18468: Verifying Checksum 2025-09-07T07:50:18.5482139Z 5bad36d18468: Download complete 2025-09-07T07:50:18.6946276Z 3c868a62868e: Verifying Checksum 2025-09-07T07:50:18.6946607Z 3c868a62868e: Download complete 2025-09-07T07:50:18.8481501Z 62170a22dd57: Verifying Checksum 2025-09-07T07:50:18.8481825Z 62170a22dd57: Download complete 2025-09-07T07:50:19.0132506Z 553c1d23b6c4: Verifying Checksum 2025-09-07T07:50:19.0132861Z 553c1d23b6c4: Download complete 2025-09-07T07:50:19.0177818Z e6fdc8487bfe: Pull complete 2025-09-07T07:50:19.0522846Z 171dcef20c49: Pull complete 2025-09-07T07:50:19.1825030Z 9408d557a804: Verifying Checksum 2025-09-07T07:50:19.1825393Z 9408d557a804: Download complete 2025-09-07T07:50:19.6497764Z 0e34fdd9ac5c: Verifying Checksum 2025-09-07T07:50:19.6498098Z 0e34fdd9ac5c: Download complete 2025-09-07T07:50:19.7009441Z 4f4fb700ef54: Verifying Checksum 2025-09-07T07:50:19.7009778Z 4f4fb700ef54: Download complete 2025-09-07T07:50:19.9521434Z 40a8e39faeda: Verifying Checksum 2025-09-07T07:50:19.9521713Z 40a8e39faeda: Download complete 2025-09-07T07:50:20.6419591Z d895771c9fac: Verifying Checksum 2025-09-07T07:50:20.6419971Z d895771c9fac: Download complete 2025-09-07T07:50:20.8134436Z c4ee04f39d49: Verifying Checksum 2025-09-07T07:50:20.8134778Z c4ee04f39d49: Download complete 2025-09-07T07:50:21.0313500Z 3690c9826e48: Verifying Checksum 2025-09-07T07:50:21.0313802Z 3690c9826e48: Download complete 2025-09-07T07:50:21.1060072Z 4c92b3f72f1d: Verifying Checksum 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2025-09-07T08:18:32.7967832Z 2ed8e82748d4: Pull complete 2025-09-07T08:18:37.2235531Z c988fbcccd70: Pull complete 2025-09-07T08:18:41.9607567Z Digest: sha256:f30843ff9ea9e117a2c8e6d207e85c9e77dfe682f1dfcdfea5b94178d1bf00b3 2025-09-07T08:18:43.1711635Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:18:43.3611396Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:18:43.3886858Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:18:43.3887916Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:18:43.3903027Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:18:43.3903312Z env: 2025-09-07T08:18:43.3903481Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:43.3903680Z ##[endgroup] 2025-09-07T08:18:43.5184586Z ##[group]Run echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T08:18:43.5185148Z echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T08:18:43.5199536Z shell: /usr/bin/bash -e {0} 2025-09-07T08:18:43.5199747Z env: 2025-09-07T08:18:43.5199909Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:43.5200108Z ##[endgroup] 2025-09-07T08:18:43.7042190Z ##[group]Run echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T08:18:43.7042910Z echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T08:18:43.7056481Z shell: /usr/bin/bash -e {0} 2025-09-07T08:18:43.7056705Z env: 2025-09-07T08:18:43.7056866Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:43.7057114Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:43.7057385Z ##[endgroup] 2025-09-07T08:18:43.7516601Z Prepare all required actions 2025-09-07T08:18:43.7952086Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T08:18:43.7952389Z with: 2025-09-07T08:18:43.7952944Z github-token: *** 2025-09-07T08:18:43.7953156Z env: 2025-09-07T08:18:43.7953349Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:43.7953640Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:43.7954047Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:18:43.7954379Z ##[endgroup] 2025-09-07T08:18:43.8277231Z ##[group]Run set -eux 2025-09-07T08:18:43.8277496Z set -eux 2025-09-07T08:18:43.8277886Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T08:18:43.8291638Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:18:43.8291938Z env: 2025-09-07T08:18:43.8292105Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:43.8292365Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:43.8292719Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:18:43.8293210Z GITHUB_TOKEN: *** 2025-09-07T08:18:43.8293396Z ##[endgroup] 2025-09-07T08:18:43.8753872Z + python3 .github/scripts/get_workflow_job_id.py 17525296438 i-0b7d0f7dc0527ca9b-1002 2025-09-07T08:18:44.5944201Z Setting output job-id=49775781851 2025-09-07T08:18:44.5944825Z Setting output job-name=test-weekly / test (inductor_torchbench_perf_cuda_h100, 3, 9, linux.aws.h100) 2025-09-07T08:18:44.6734409Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T08:18:44.6735037Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T08:18:44.6735784Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T08:18:44.6736436Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T08:18:44.6751115Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:18:44.6751397Z env: 2025-09-07T08:18:44.6751570Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:44.6751823Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:44.6752148Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:18:44.6752431Z JOB_ID: 49775781851 2025-09-07T08:18:44.6752771Z JOB_NAME: test-weekly / test (inductor_torchbench_perf_cuda_h100, 3, 9, linux.aws.h100) 2025-09-07T08:18:44.6753163Z WORKFLOW_NAME: inductor-perf-nightly-h100 2025-09-07T08:18:44.6753623Z WORKFLOW_RUN_ID: 17525296438 2025-09-07T08:18:44.6753825Z MONITOR_LOG_INTERVAL: 15 2025-09-07T08:18:44.6754024Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T08:18:44.6754242Z ##[endgroup] 2025-09-07T08:18:44.9922869Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:18:45.8887726Z Collecting psutil==5.9.8 2025-09-07T08:18:45.9493697Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-09-07T08:18:46.5705663Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.2/288.2 KB 449.4 kB/s eta 0:00:00 2025-09-07T08:18:46.6192704Z Collecting dataclasses_json==0.6.7 2025-09-07T08:18:46.6308938Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T08:18:48.1289454Z Collecting nvidia-ml-py==11.525.84 2025-09-07T08:18:48.1410834Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T08:18:48.9238855Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T08:18:48.9359464Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T08:18:49.9444185Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T08:18:49.9561326Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T08:18:50.4783690Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.9/50.9 KB 78.1 kB/s eta 0:00:00 2025-09-07T08:18:50.9121961Z Collecting packaging>=17.0 2025-09-07T08:18:50.9236537Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T08:18:51.6803858Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.5/66.5 KB 74.5 kB/s eta 0:00:00 2025-09-07T08:18:52.5719490Z Collecting mypy-extensions>=0.3.0 2025-09-07T08:18:52.5836370Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T08:18:53.4081564Z Collecting typing-extensions>=3.7.4 2025-09-07T08:18:53.4201574Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T08:18:53.9749529Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 44.6/44.6 KB 62.3 kB/s eta 0:00:00 2025-09-07T08:18:54.0810990Z Installing collected packages: nvidia-ml-py, typing-extensions, psutil, packaging, mypy-extensions, typing-inspect, marshmallow, dataclasses_json 2025-09-07T08:18:58.7472185Z Successfully installed dataclasses_json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-09-07T08:18:58.8106616Z Prepare all required actions 2025-09-07T08:18:58.8107081Z Getting action download info 2025-09-07T08:18:58.9873127Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T08:19:01.2186300Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T08:19:08.4927987Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T08:19:08.4928289Z with: 2025-09-07T08:19:08.4928501Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T08:19:08.4928771Z s3-bucket: gha-artifacts 2025-09-07T08:19:08.4928997Z env: 2025-09-07T08:19:08.4929164Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:08.4929427Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:08.4929783Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:19:08.4930089Z ##[endgroup] 2025-09-07T08:19:08.8658685Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T08:19:08.8658980Z with: 2025-09-07T08:19:08.8659184Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T08:19:08.8659460Z s3-bucket: gha-artifacts 2025-09-07T08:19:08.8659690Z region: us-east-1 2025-09-07T08:19:08.8659873Z env: 2025-09-07T08:19:08.8660046Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:08.8660482Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:08.8660856Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:19:08.8661165Z ##[endgroup] 2025-09-07T08:19:09.2676605Z (node:9195) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T08:19:09.2677460Z 2025-09-07T08:19:09.2677638Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T08:19:09.2678112Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T08:19:09.2678618Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T08:19:09.3927826Z Found 1 objects with prefix pytorch/pytorch/17525296438/linux-jammy-cuda12.8-py3.10-gcc9-sm90/ 2025-09-07T08:19:09.3928873Z Starting download (1/1): /home/bob/_work/pytorch/pytorch/artifacts.zip 2025-09-07T08:19:18.1495700Z Finished download (1/1): /home/bob/_work/pytorch/pytorch/artifacts.zip 2025-09-07T08:19:18.1503704Z Artifact download has finished successfully 2025-09-07T08:19:18.1884559Z ##[group]Run unzip -o artifacts.zip 2025-09-07T08:19:18.1884853Z unzip -o artifacts.zip 2025-09-07T08:19:18.1899448Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:19:18.1899755Z env: 2025-09-07T08:19:18.1899948Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:18.1900203Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 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2025-09-07T08:19:29.8360183Z ##[group]Run rm artifacts.zip 2025-09-07T08:19:29.8360695Z rm artifacts.zip 2025-09-07T08:19:29.8375277Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:19:29.8375563Z env: 2025-09-07T08:19:29.8375730Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:29.8375978Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:29.8376332Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:19:29.8376622Z ##[endgroup] 2025-09-07T08:19:30.1966653Z ##[group]Run df -H 2025-09-07T08:19:30.1966861Z df -H 2025-09-07T08:19:30.1981785Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:19:30.1982069Z env: 2025-09-07T08:19:30.1982239Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:30.1982499Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:30.1982841Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:19:30.1983200Z ##[endgroup] 2025-09-07T08:19:30.2417261Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T08:19:30.2417858Z overlay 7.3T 700G 6.6T 10% / 2025-09-07T08:19:30.2418100Z tmpfs 68M 0 68M 0% /dev 2025-09-07T08:19:30.2418352Z shm 68M 0 68M 0% /dev/shm 2025-09-07T08:19:30.2418615Z /dev/root 7.3T 700G 6.6T 10% /home/bob/_work 2025-09-07T08:19:30.2418909Z tmpfs 215G 111k 215G 1% /run/docker.sock 2025-09-07T08:19:30.2419204Z tmpfs 1.1T 13k 1.1T 1% /proc/driver/nvidia 2025-09-07T08:19:30.2419554Z tmpfs 430G 2.9M 430G 1% /run/.ro1906615903/nvidia-persistenced/socket 2025-09-07T08:19:30.2420134Z tmpfs 1.1T 0 1.1T 0% /proc/acpi 2025-09-07T08:19:30.2420539Z tmpfs 1.1T 0 1.1T 0% /proc/scsi 2025-09-07T08:19:30.2420815Z tmpfs 1.1T 0 1.1T 0% /sys/firmware 2025-09-07T08:19:30.2447742Z Prepare all required actions 2025-09-07T08:19:30.2448651Z Getting action download info 2025-09-07T08:19:30.3762423Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T08:19:30.3762707Z with: 2025-09-07T08:19:30.3762866Z env: 2025-09-07T08:19:30.3763026Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:30.3763265Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:30.3763594Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:19:30.3763873Z ##[endgroup] 2025-09-07T08:19:30.4599296Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T08:19:30.4599596Z with: 2025-09-07T08:19:30.4599777Z name: td_results 2025-09-07T08:19:30.4599986Z s3-bucket: gha-artifacts 2025-09-07T08:19:30.4600406Z region: us-east-1 2025-09-07T08:19:30.4600603Z env: 2025-09-07T08:19:30.4600783Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:30.4601069Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:30.4601486Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:19:30.4601823Z ##[endgroup] 2025-09-07T08:19:30.8690795Z (node:9216) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T08:19:30.8691295Z 2025-09-07T08:19:30.8691477Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T08:19:30.8691974Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T08:19:30.8692491Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T08:19:30.9874196Z Found 0 objects with prefix pytorch/pytorch/17525296438/td_results/ 2025-09-07T08:19:30.9880105Z Artifact download has finished successfully 2025-09-07T08:19:31.0381518Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T08:19:31.0381867Z mkdir -p .additional_ci_files 2025-09-07T08:19:31.0382256Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T08:19:31.0396915Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:19:31.0397218Z env: 2025-09-07T08:19:31.0397383Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:31.0397627Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:31.0397992Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:19:31.0398272Z ##[endgroup] 2025-09-07T08:19:31.0864192Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T08:19:31.1281164Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T08:19:31.1281524Z .github/scripts/parse_ref.py 2025-09-07T08:19:31.1295690Z shell: /usr/bin/bash -e {0} 2025-09-07T08:19:31.1295919Z env: 2025-09-07T08:19:31.1296093Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:31.1296345Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:31.1296675Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:19:31.1296951Z ##[endgroup] 2025-09-07T08:19:31.1884388Z Setting output branch=main 2025-09-07T08:19:31.1980973Z Prepare all required actions 2025-09-07T08:19:31.1981321Z Getting action download info 2025-09-07T08:19:31.3546818Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T08:19:31.3547398Z with: 2025-09-07T08:19:31.3547781Z github-token: *** 2025-09-07T08:19:31.3552739Z test-matrix: {"include": [{"config": "inductor_huggingface_perf_cuda_h100", "shard": 1, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 2, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 3, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 4, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 5, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 1, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 2, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 3, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 4, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 5, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 6, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 7, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 1, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 2, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 3, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 4, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 5, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 6, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 7, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 8, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 9, "num_shards": 9, "runner": "linux.aws.h100"}]} 2025-09-07T08:19:31.3557767Z job-name: test-weekly / test (inductor_torchbench_perf_cuda_h100, 3, 9, linux.aws.h100) 2025-09-07T08:19:31.3558111Z env: 2025-09-07T08:19:31.3558286Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:31.3558542Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:31.3558878Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:19:31.3559158Z ##[endgroup] 2025-09-07T08:19:31.4919501Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T08:19:31.4919776Z with: 2025-09-07T08:19:31.4919955Z shell: bash 2025-09-07T08:19:31.4920139Z timeout_minutes: 10 2025-09-07T08:19:31.4920515Z max_attempts: 5 2025-09-07T08:19:31.4920716Z retry_wait_seconds: 30 2025-09-07T08:19:31.4921406Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T08:19:31.4922115Z polling_interval_seconds: 1 2025-09-07T08:19:31.4922362Z warning_on_retry: true 2025-09-07T08:19:31.4922580Z continue_on_error: false 2025-09-07T08:19:31.4922794Z env: 2025-09-07T08:19:31.4922964Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:31.4923239Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:31.4923598Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:19:31.4924034Z GITHUB_TOKEN: *** 2025-09-07T08:19:31.4924212Z ##[endgroup] 2025-09-07T08:19:31.5638448Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T08:19:31.8332196Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:19:32.3887402Z Collecting requests==2.27.1 2025-09-07T08:19:32.4444310Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T08:19:32.9189551Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.1/63.1 KB 112.2 kB/s eta 0:00:00 2025-09-07T08:19:33.4324633Z Collecting pyyaml==6.0.2 2025-09-07T08:19:33.4429603Z Downloading PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (751 kB) 2025-09-07T08:19:33.9497043Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 751.2/751.2 KB 1.5 MB/s eta 0:00:00 2025-09-07T08:19:33.9619935Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3/dist-packages (from requests==2.27.1) (3.3) 2025-09-07T08:19:33.9624805Z Requirement already satisfied: certifi>=2017.4.17 in /usr/lib/python3/dist-packages (from requests==2.27.1) (2020.6.20) 2025-09-07T08:19:34.7155927Z Collecting charset-normalizer~=2.0.0 2025-09-07T08:19:34.7261615Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T08:19:35.2379745Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3/dist-packages (from requests==2.27.1) (1.26.5) 2025-09-07T08:19:35.3069561Z Installing collected packages: pyyaml, charset-normalizer, requests 2025-09-07T08:19:36.3780078Z WARNING: The script normalizer is installed in '/home/bob/.local/bin' which is not on PATH. 2025-09-07T08:19:36.3781348Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T08:19:38.2540887Z Successfully installed charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T08:19:38.5687189Z Command completed after 1 attempt(s). 2025-09-07T08:19:38.6076411Z ##[group]Run set -x 2025-09-07T08:19:38.6076653Z set -x 2025-09-07T08:19:38.6076853Z  2025-09-07T08:19:38.6077198Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T08:19:38.6077626Z # in runner workspace 2025-09-07T08:19:38.6077969Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T08:19:38.6092587Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:19:38.6092883Z env: 2025-09-07T08:19:38.6093052Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:38.6093302Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:38.6093634Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:19:38.6093905Z ##[endgroup] 2025-09-07T08:19:38.6567123Z + python3 /home/bob/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T08:19:38.6711201Z Setting output branch=main 2025-09-07T08:19:38.7456249Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T08:19:38.7456609Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T08:19:38.7456863Z echo "Job name: ${JOB_NAME}" 2025-09-07T08:19:38.7457103Z  2025-09-07T08:19:38.7457391Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T08:19:38.7457758Z # in runner workspace 2025-09-07T08:19:38.7458089Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T08:19:38.7458458Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T08:19:38.7458721Z  --job-name "${JOB_NAME}" \ 2025-09-07T08:19:38.7464515Z  --test-matrix "{"include": [{"config": "inductor_huggingface_perf_cuda_h100", "shard": 1, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 2, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 3, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 4, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 5, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 1, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 2, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 3, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 4, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 5, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 6, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 7, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 1, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 2, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 3, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 4, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 5, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 6, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 7, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 8, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 9, "num_shards": 9, "runner": "linux.aws.h100"}]}" \ 2025-09-07T08:19:38.7469678Z  --selected-test-configs "" \ 2025-09-07T08:19:38.7469937Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T08:19:38.7470180Z  --tag "${TAG}" \ 2025-09-07T08:19:38.7470541Z  --event-name "${EVENT_NAME}" \ 2025-09-07T08:19:38.7470789Z  --schedule "${SCHEDULE}" \ 2025-09-07T08:19:38.7471015Z  --branch "${HEAD_BRANCH}" 2025-09-07T08:19:38.7485421Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:19:38.7485719Z env: 2025-09-07T08:19:38.7485902Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:38.7486157Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:38.7486478Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:19:38.7486943Z GITHUB_TOKEN: *** 2025-09-07T08:19:38.7487262Z JOB_NAME: test-weekly / test (inductor_torchbench_perf_cuda_h100, 3, 9, linux.aws.h100) 2025-09-07T08:19:38.7487609Z PR_NUMBER: 2025-09-07T08:19:38.7487771Z TAG: 2025-09-07T08:19:38.7487919Z EVENT_NAME: schedule 2025-09-07T08:19:38.7488097Z SCHEDULE: 0 7 * * 0 2025-09-07T08:19:38.7488281Z HEAD_BRANCH: main 2025-09-07T08:19:38.7488443Z ##[endgroup] 2025-09-07T08:19:38.7920477Z Workflow: inductor-perf-nightly-h100 2025-09-07T08:19:38.7920972Z Job name: test-weekly / test (inductor_torchbench_perf_cuda_h100, 3, 9, linux.aws.h100) 2025-09-07T08:19:38.9970417Z Setting output keep-going=True 2025-09-07T08:19:38.9970770Z Setting output ci-verbose-test-logs=False 2025-09-07T08:19:38.9971109Z Setting output ci-test-showlocals=False 2025-09-07T08:19:38.9971437Z Setting output ci-no-test-timeout=False 2025-09-07T08:19:38.9971723Z Setting output ci-no-td=False 2025-09-07T08:19:38.9972000Z Setting output ci-td-distributed=False 2025-09-07T08:19:38.9972289Z Setting output is-unstable=False 2025-09-07T08:19:38.9972564Z Setting output reenabled-issues= 2025-09-07T08:19:38.9978812Z Setting output test-matrix={"include": [{"config": "inductor_huggingface_perf_cuda_h100", "shard": 1, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 2, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 3, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 4, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 5, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 1, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 2, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 3, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 4, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 5, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 6, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 7, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 1, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 2, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 3, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 4, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 5, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 6, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 7, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 8, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 9, "num_shards": 9, "runner": "linux.aws.h100"}]} 2025-09-07T08:19:38.9985086Z Setting output is-test-matrix-empty=False 2025-09-07T08:19:39.0192327Z ##[group]Run echo "Filtered matrix:" 2025-09-07T08:19:39.0192607Z echo "Filtered matrix:" 2025-09-07T08:19:39.0198260Z echo "{"include": [{"config": "inductor_huggingface_perf_cuda_h100", "shard": 1, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 2, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 3, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 4, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 5, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 1, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 2, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 3, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 4, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 5, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 6, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 7, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 1, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 2, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 3, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 4, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 5, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 6, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 7, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 8, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 9, "num_shards": 9, "runner": "linux.aws.h100"}]}" 2025-09-07T08:19:39.0204317Z  2025-09-07T08:19:39.0204487Z echo 2025-09-07T08:19:39.0204710Z echo "Is the current job unstable? False" 2025-09-07T08:19:39.0204973Z  2025-09-07T08:19:39.0205135Z echo 2025-09-07T08:19:39.0205336Z echo "Is keep-going label set? True" 2025-09-07T08:19:39.0205587Z  2025-09-07T08:19:39.0205729Z echo 2025-09-07T08:19:39.0205913Z echo "Reenabled issues? " 2025-09-07T08:19:39.0219670Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:19:39.0219961Z env: 2025-09-07T08:19:39.0220120Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:39.0220529Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:39.0220854Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:19:39.0221144Z ##[endgroup] 2025-09-07T08:19:39.0677292Z Filtered matrix: 2025-09-07T08:19:39.0684040Z {include: [{config: inductor_huggingface_perf_cuda_h100, shard: 1, num_shards: 5, runner: linux.aws.h100}, {config: inductor_huggingface_perf_cuda_h100, shard: 2, num_shards: 5, runner: linux.aws.h100}, {config: inductor_huggingface_perf_cuda_h100, shard: 3, num_shards: 5, runner: linux.aws.h100}, {config: inductor_huggingface_perf_cuda_h100, shard: 4, num_shards: 5, runner: linux.aws.h100}, {config: inductor_huggingface_perf_cuda_h100, shard: 5, num_shards: 5, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 1, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 2, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 3, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 4, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 5, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 6, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 7, num_shards: 7, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 1, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 2, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 3, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 4, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 5, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 6, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 7, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 8, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 9, num_shards: 9, runner: linux.aws.h100}]} 2025-09-07T08:19:39.0689677Z 2025-09-07T08:19:39.0689784Z Is the current job unstable? False 2025-09-07T08:19:39.0689963Z 2025-09-07T08:19:39.0690048Z Is keep-going label set? True 2025-09-07T08:19:39.0690332Z 2025-09-07T08:19:39.0690420Z Reenabled issues? 2025-09-07T08:19:39.1066952Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T08:19:39.1067386Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T08:19:39.1082081Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:19:39.1082371Z env: 2025-09-07T08:19:39.1082545Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:39.1082800Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:39.1083137Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:19:39.1083408Z JOB_TIMEOUT: 1440 2025-09-07T08:19:39.1083579Z ##[endgroup] 2025-09-07T08:19:39.1928471Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:19:39.1928910Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:19:39.1929256Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:19:39.1942978Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:19:39.1943278Z env: 2025-09-07T08:19:39.1943451Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:39.1943701Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:39.1944019Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:19:39.1944303Z ##[endgroup] 2025-09-07T08:19:39.3306001Z ##[group]Run set -x 2025-09-07T08:19:39.3306352Z set -x 2025-09-07T08:19:39.3306527Z  2025-09-07T08:19:39.3306724Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T08:19:39.3307045Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T08:19:39.3307358Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T08:19:39.3307629Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T08:19:39.3307862Z else 2025-09-07T08:19:39.3308066Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T08:19:39.3308299Z fi 2025-09-07T08:19:39.3308471Z  2025-09-07T08:19:39.3308672Z # Leaving 1GB for the runner and other things 2025-09-07T08:19:39.3309108Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T08:19:39.3309751Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T08:19:39.3310468Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T08:19:39.3310866Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T08:19:39.3311175Z  2025-09-07T08:19:39.3311372Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T08:19:39.3311632Z  SHM_OPTS= 2025-09-07T08:19:39.3311814Z  JENKINS_USER= 2025-09-07T08:19:39.3312084Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T08:19:39.3312428Z  # if for some reason cleanup action doesn't stop container 2025-09-07T08:19:39.3312721Z  # when job is cancelled 2025-09-07T08:19:39.3312953Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T08:19:39.3313161Z else 2025-09-07T08:19:39.3313344Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T08:19:39.3313589Z  JENKINS_USER="--user jenkins" 2025-09-07T08:19:39.3313817Z  DOCKER_SHELL_CMD= 2025-09-07T08:19:39.3314003Z fi 2025-09-07T08:19:39.3314164Z  2025-09-07T08:19:39.3314405Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T08:19:39.3314798Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T08:19:39.3315229Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T08:19:39.3315611Z # shellcheck disable=SC2086,SC2090 2025-09-07T08:19:39.3315852Z container_name=$(docker run \ 2025-09-07T08:19:39.3316085Z  ${GPU_FLAG:-} \ 2025-09-07T08:19:39.3316312Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T08:19:39.3316557Z  -e BUILD_ENVIRONMENT \ 2025-09-07T08:19:39.3316774Z  -e PR_NUMBER \ 2025-09-07T08:19:39.3316974Z  -e GITHUB_ACTIONS \ 2025-09-07T08:19:39.3317182Z  -e GITHUB_REPOSITORY \ 2025-09-07T08:19:39.3317391Z  -e GITHUB_WORKFLOW \ 2025-09-07T08:19:39.3317597Z  -e GITHUB_JOB \ 2025-09-07T08:19:39.3317792Z  -e GITHUB_RUN_ID \ 2025-09-07T08:19:39.3317993Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T08:19:39.3318196Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T08:19:39.3318404Z  -e JOB_ID \ 2025-09-07T08:19:39.3318586Z  -e JOB_NAME \ 2025-09-07T08:19:39.3318772Z  -e BASE_SHA \ 2025-09-07T08:19:39.3318947Z  -e BRANCH \ 2025-09-07T08:19:39.3319139Z  -e SHA1 \ 2025-09-07T08:19:39.3319322Z  -e AWS_DEFAULT_REGION \ 2025-09-07T08:19:39.3319774Z  -e IN_WHEEL_TEST \ 2025-09-07T08:19:39.3319985Z  -e SHARD_NUMBER \ 2025-09-07T08:19:39.3320188Z  -e TEST_CONFIG \ 2025-09-07T08:19:39.3320539Z  -e NUM_TEST_SHARDS \ 2025-09-07T08:19:39.3320753Z  -e REENABLED_ISSUES \ 2025-09-07T08:19:39.3320967Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T08:19:39.3321397Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T08:19:39.3321636Z  -e TEST_SHOWLOCALS \ 2025-09-07T08:19:39.3321845Z  -e NO_TEST_TIMEOUT \ 2025-09-07T08:19:39.3322037Z  -e NO_TD \ 2025-09-07T08:19:39.3322223Z  -e TD_DISTRIBUTED \ 2025-09-07T08:19:39.3322425Z  -e PR_LABELS \ 2025-09-07T08:19:39.3322643Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T08:19:39.3322879Z  -e SCCACHE_BUCKET \ 2025-09-07T08:19:39.3323092Z  -e SCCACHE_REGION \ 2025-09-07T08:19:39.3323302Z  -e XLA_CUDA \ 2025-09-07T08:19:39.3323511Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T08:19:39.3323772Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T08:19:39.3324032Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T08:19:39.3324301Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T08:19:39.3324545Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T08:19:39.3324786Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T08:19:39.3325025Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T08:19:39.3325257Z  -e DASHBOARD_TAG \ 2025-09-07T08:19:39.3325482Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T08:19:39.3325747Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T08:19:39.3326039Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T08:19:39.3326336Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T08:19:39.3326630Z  --security-opt seccomp=unconfined \ 2025-09-07T08:19:39.3326879Z  --cap-add=SYS_PTRACE \ 2025-09-07T08:19:39.3327094Z  --ipc=host \ 2025-09-07T08:19:39.3327287Z  ${SHM_OPTS} \ 2025-09-07T08:19:39.3327481Z  --tty \ 2025-09-07T08:19:39.3327656Z  --detach \ 2025-09-07T08:19:39.3327851Z  --name="${container_name}" \ 2025-09-07T08:19:39.3328079Z  ${JENKINS_USER} \ 2025-09-07T08:19:39.3328336Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T08:19:39.3328631Z  -w /var/lib/jenkins/workspace \ 2025-09-07T08:19:39.3328862Z  "${DOCKER_IMAGE}" \ 2025-09-07T08:19:39.3329056Z  ${DOCKER_SHELL_CMD} 2025-09-07T08:19:39.3329245Z ) 2025-09-07T08:19:39.3329466Z # Propagate download.pytorch.org IP to container 2025-09-07T08:19:39.3329941Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T08:19:39.3330574Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T08:19:39.3330880Z  2025-09-07T08:19:39.3331072Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T08:19:39.3331482Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T08:19:39.3331848Z fi 2025-09-07T08:19:39.3331993Z  2025-09-07T08:19:39.3332341Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T08:19:39.3345922Z shell: /usr/bin/bash -e {0} 2025-09-07T08:19:39.3346136Z env: 2025-09-07T08:19:39.3346305Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:39.3346567Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:39.3346910Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:19:39.3347263Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T08:19:39.3347545Z PR_NUMBER: 2025-09-07T08:19:39.3347730Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T08:19:39.3348157Z GITHUB_WORKFLOW: inductor-perf-nightly-h100 2025-09-07T08:19:39.3348396Z GITHUB_JOB: test 2025-09-07T08:19:39.3348571Z GITHUB_RUN_ID: 17525296438 2025-09-07T08:19:39.3348762Z GITHUB_RUN_NUMBER: 662 2025-09-07T08:19:39.3348946Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T08:19:39.3349121Z JOB_ID: 49775781851 2025-09-07T08:19:39.3349566Z JOB_NAME: test-weekly / test (inductor_torchbench_perf_cuda_h100, 3, 9, linux.aws.h100) 2025-09-07T08:19:39.3349920Z BRANCH: main 2025-09-07T08:19:39.3350116Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:19:39.3350552Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:19:39.3350826Z TEST_CONFIG: inductor_torchbench_perf_cuda_h100 2025-09-07T08:19:39.3351068Z SHARD_NUMBER: 3 2025-09-07T08:19:39.3351225Z NUM_TEST_SHARDS: 9 2025-09-07T08:19:39.3351391Z REENABLED_ISSUES: 2025-09-07T08:19:39.3351577Z CONTINUE_THROUGH_ERROR: True 2025-09-07T08:19:39.3351780Z VERBOSE_TEST_LOGS: False 2025-09-07T08:19:39.3351971Z TEST_SHOWLOCALS: False 2025-09-07T08:19:39.3352154Z NO_TEST_TIMEOUT: False 2025-09-07T08:19:39.3352325Z NO_TD: False 2025-09-07T08:19:39.3352514Z TD_DISTRIBUTED: False 2025-09-07T08:19:39.3352737Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T08:19:39.3353000Z SCCACHE_REGION: us-east-1 2025-09-07T08:19:39.3353197Z SHM_SIZE: 2g 2025-09-07T08:19:39.3353859Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:19:39.3354564Z XLA_CUDA: 2025-09-07T08:19:39.3354847Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:19:39.3355188Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T08:19:39.3355424Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T08:19:39.3356357Z DASHBOARD_TAG: training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T08:19:39.3357439Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T08:19:39.3357743Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T08:19:39.3358057Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T08:19:39.3358434Z ARTIFACTS_FILE_SUFFIX: test-inductor_torchbench_perf_cuda_h100-3-9-linux.aws.h100_49775781851 2025-09-07T08:19:39.3358825Z ##[endgroup] 2025-09-07T08:19:39.3798068Z + [[ inductor_torchbench_perf_cuda_h100 == \m\u\l\t\i\g\p\u ]] 2025-09-07T08:19:39.3798504Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *onnx* ]] 2025-09-07T08:19:39.3798904Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T08:19:39.3799266Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T08:19:39.3808121Z + TOTAL_AVAILABLE_MEMORY_IN_GB='1998.949 ' 2025-09-07T08:19:39.3808407Z + TOTAL_MEMORY_WITH_SWAP=2001 2025-09-07T08:19:39.3808712Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *\s\3\9\0\x* ]] 2025-09-07T08:19:39.3809038Z + SHM_OPTS=--shm-size=2g 2025-09-07T08:19:39.3809257Z + JENKINS_USER='--user jenkins' 2025-09-07T08:19:39.3809486Z + DOCKER_SHELL_CMD= 2025-09-07T08:19:39.3818325Z +++ nproc --ignore=2 2025-09-07T08:19:39.3832813Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e SCCACHE_SERVER_PORT=5228 -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=22 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=1998g --memory-swap=2001g --env-file=/tmp/github_env_17525296438 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --tty --detach --name= --user jenkins -v /home/bob/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:35:46.6290547Z + container_name=814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T08:35:46.6295073Z + grep download.pytorch.org /etc/hosts 2025-09-07T08:35:46.6296251Z + docker exec -i 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T08:35:46.6714401Z + echo DOCKER_CONTAINER_ID=814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T08:35:46.6716465Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *\s\3\9\0\x* ]] 2025-09-07T08:35:46.6719231Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T08:35:46.6722121Z + docker exec -t 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T08:35:47.0695392Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T08:35:47.3692682Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.19.1) 2025-09-07T08:35:47.3695048Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (4.15.0) 2025-09-07T08:35:47.3698751Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.13.3) 2025-09-07T08:35:47.3702913Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2.8.8) 2025-09-07T08:35:47.3705674Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.1.6) 2025-09-07T08:35:47.3710844Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2025.3.0) 2025-09-07T08:35:47.3721684Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.3.0) 2025-09-07T08:35:47.4036825Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.22.4) 2025-09-07T08:35:47.4054043Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.3.0) 2025-09-07T08:35:47.4085631Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.0.2) 2025-09-07T08:35:48.2012126Z Installing collected packages: torch 2025-09-07T08:35:57.9876210Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. 2025-09-07T08:35:57.9877066Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T08:35:57.9877453Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T08:35:57.9877891Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-09-07T08:35:57.9878923Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T08:35:57.9879596Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T08:35:57.9880668Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T08:35:57.9881392Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T08:35:58.0619434Z + export TERM=vt100 2025-09-07T08:35:58.0619712Z + TERM=vt100 2025-09-07T08:35:58.0624156Z ++ dirname .ci/pytorch/test.sh 2025-09-07T08:35:58.0636786Z + source .ci/pytorch/common.sh 2025-09-07T08:35:58.0641655Z +++ dirname .ci/pytorch/common.sh 2025-09-07T08:35:58.0649629Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T08:35:58.0651006Z +++ declare -f -t trap_add 2025-09-07T08:35:58.0654424Z ++ set -ex -o pipefail 2025-09-07T08:35:58.0654694Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T08:35:58.0655045Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T08:35:58.0658286Z ++ dirname .ci/pytorch/test.sh 2025-09-07T08:35:58.0666730Z + source .ci/pytorch/common-build.sh 2025-09-07T08:35:58.0668465Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *win-* ]] 2025-09-07T08:35:58.0676415Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T08:35:58.0684713Z +++ cd .ci/pytorch 2025-09-07T08:35:58.0685095Z +++ pwd -P 2025-09-07T08:35:58.0687626Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T08:35:58.0688027Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-pch* ]] 2025-09-07T08:35:58.0688324Z ++ which sccache 2025-09-07T08:35:58.0703057Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T08:35:58.0703375Z ++ sccache --stop-server 2025-09-07T08:35:58.0729875Z ++ true 2025-09-07T08:35:58.0730069Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T08:35:58.0741624Z ++ trap_add sccache_epilogue EXIT 2025-09-07T08:35:58.0741875Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T08:35:58.0742095Z ++ shift 2025-09-07T08:35:58.0742279Z ++ for trap_add_name in "$@" 2025-09-07T08:35:58.0749218Z ++++ trap -p EXIT 2025-09-07T08:35:58.0752115Z +++ eval 'extract_trap_cmd ' 2025-09-07T08:35:58.0752396Z ++++ extract_trap_cmd 2025-09-07T08:35:58.0752629Z ++++ printf '%s\n' '' 2025-09-07T08:35:58.0752874Z +++ printf '%s\n' sccache_epilogue 2025-09-07T08:35:58.0754770Z ++ trap -- ' 2025-09-07T08:35:58.0755037Z sccache_epilogue' EXIT 2025-09-07T08:35:58.0755249Z ++ [[ -n 1 ]] 2025-09-07T08:35:58.0755587Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T08:35:58.0756112Z Skipping sccache server initialization, setting environment variables 2025-09-07T08:35:58.0756493Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:35:58.0756742Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:35:58.0757033Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:35:58.0757415Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:35:58.0757781Z ++ export RUST_LOG=sccache::server=error 2025-09-07T08:35:58.0758064Z ++ RUST_LOG=sccache::server=error 2025-09-07T08:35:58.0758310Z ++ sccache --zero-stats 2025-09-07T08:35:58.2341467Z Statistics zeroed. 2025-09-07T08:35:58.2347577Z ++ which ccache 2025-09-07T08:35:58.2361629Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *rocm* ]] 2025-09-07T08:35:58.2361996Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *s390x* ]] 2025-09-07T08:35:58.2362313Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T08:35:58.2365171Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T08:35:58.2376870Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T08:35:58.2377124Z + trap_add cleanup_workspace EXIT 2025-09-07T08:35:58.2377371Z + trap_add_cmd=cleanup_workspace 2025-09-07T08:35:58.2377582Z + shift 2025-09-07T08:35:58.2377752Z + for trap_add_name in "$@" 2025-09-07T08:35:58.2385217Z +++ trap -p EXIT 2025-09-07T08:35:58.2387366Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T08:35:58.2387636Z sccache_epilogue'\'' EXIT' 2025-09-07T08:35:58.2387863Z +++ extract_trap_cmd trap -- ' 2025-09-07T08:35:58.2388523Z sccache_epilogue' EXIT 2025-09-07T08:35:58.2388728Z +++ printf '%s\n' ' 2025-09-07T08:35:58.2388916Z sccache_epilogue' 2025-09-07T08:35:58.2389113Z ++ printf '%s\n' cleanup_workspace 2025-09-07T08:35:58.2390165Z + trap -- ' 2025-09-07T08:35:58.2390523Z sccache_epilogue 2025-09-07T08:35:58.2390720Z cleanup_workspace' EXIT 2025-09-07T08:35:58.2391253Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T08:36:08.6934554Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T08:36:08.6957047Z + echo 'Environment variables:' 2025-09-07T08:36:08.6957329Z Environment variables: 2025-09-07T08:36:08.6957562Z + env 2025-09-07T08:36:08.6966860Z GITHUB_WORKSPACE=/home/bob/_work/pytorch/pytorch 2025-09-07T08:36:08.6967262Z CONTINUE_THROUGH_ERROR=True 2025-09-07T08:36:08.6967597Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T08:36:08.6971157Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T08:36:08.6971461Z HOSTNAME=814fd5585941 2025-09-07T08:36:08.6971919Z GITHUB_PATH=/home/bob/_work/_temp/_runner_file_commands/add_path_b6b1aa65-c5e8-431a-8460-894c18e6c99f 2025-09-07T08:36:08.6972392Z GITHUB_ACTION=__run_2 2025-09-07T08:36:08.6972626Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T08:36:08.6972896Z GITHUB_RUN_NUMBER=662 2025-09-07T08:36:08.6973145Z TEST_CONFIG=inductor_torchbench_perf_cuda_h100 2025-09-07T08:36:08.6973460Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T08:36:08.6973736Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T08:36:08.6974019Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:36:08.6974363Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T08:36:08.6974629Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T08:36:08.6974905Z GITHUB_REF_TYPE=branch 2025-09-07T08:36:08.6975157Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:36:08.6975437Z XLA_CUDA= 2025-09-07T08:36:08.6975624Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T08:36:08.6975975Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T08:36:08.6976337Z *** 2025-09-07T08:36:08.6976535Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T08:36:08.6976771Z GITHUB_ACTIONS=true 2025-09-07T08:36:08.6976987Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:36:08.6977275Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:36:08.6977607Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:36:08.6977930Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:36:08.6978493Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-h100.yml@refs/heads/main 2025-09-07T08:36:08.6978949Z UCC_HOME=/usr 2025-09-07T08:36:08.6979121Z VERBOSE_TEST_LOGS=False 2025-09-07T08:36:08.6979343Z GITHUB_REF=refs/heads/main 2025-09-07T08:36:08.6979536Z SHARD_NUMBER=3 2025-09-07T08:36:08.6979706Z GITHUB_REF_PROTECTED=true 2025-09-07T08:36:08.6979901Z HOME=/var/lib/jenkins 2025-09-07T08:36:08.6980086Z SCCACHE_SERVER_PORT=5228 2025-09-07T08:36:08.6980536Z GITHUB_API_URL=https://api.github.com 2025-09-07T08:36:08.6980786Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T08:36:08.6981050Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T08:36:08.6981304Z USE_SYSTEM_NCCL=1 2025-09-07T08:36:08.6981478Z NUM_TEST_SHARDS=9 2025-09-07T08:36:08.6981639Z UCX_HOME=/usr 2025-09-07T08:36:08.6982009Z GITHUB_STATE=/home/bob/_work/_temp/_runner_file_commands/save_state_b6b1aa65-c5e8-431a-8460-894c18e6c99f 2025-09-07T08:36:08.6982563Z JOB_NAME=test-weekly / test (inductor_torchbench_perf_cuda_h100, 3, 9, linux.aws.h100) 2025-09-07T08:36:08.6983189Z GITHUB_ENV=/home/bob/_work/_temp/_runner_file_commands/set_env_b6b1aa65-c5e8-431a-8460-894c18e6c99f 2025-09-07T08:36:08.6983679Z GITHUB_EVENT_PATH=/home/bob/_work/_temp/_github_workflow/event.json 2025-09-07T08:36:08.6983997Z GITHUB_EVENT_NAME=schedule 2025-09-07T08:36:08.6984974Z DASHBOARD_TAG=training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T08:36:08.6986346Z GITHUB_RUN_ID=17525296438 2025-09-07T08:36:08.6986560Z INSTALLED_OPENBLAS= 2025-09-07T08:36:08.6986953Z GITHUB_STEP_SUMMARY=/home/bob/_work/_temp/_runner_file_commands/step_summary_b6b1aa65-c5e8-431a-8460-894c18e6c99f 2025-09-07T08:36:08.6987407Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T08:36:08.6987617Z PR_NUMBER= 2025-09-07T08:36:08.6987778Z DESIRED_CUDA=12.8.1 2025-09-07T08:36:08.6988223Z GITHUB_RUN_ATTEMPT=1 2025-09-07T08:36:08.6988439Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T08:36:08.6988693Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T08:36:08.6988947Z TERM=vt100 2025-09-07T08:36:08.6989098Z INSTALLED_VISION=yes 2025-09-07T08:36:08.6989270Z BRANCH=main 2025-09-07T08:36:08.6989431Z SCCACHE_REGION=us-east-1 2025-09-07T08:36:08.6989627Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T08:36:08.6989822Z CUDA_PATH=/usr/local/cuda 2025-09-07T08:36:08.6990124Z GITHUB_ACTION_PATH=/home/bob/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T08:36:08.6990653Z GITHUB_SERVER_URL=https://github.com 2025-09-07T08:36:08.6990933Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T08:36:08.6991173Z REENABLED_ISSUES= 2025-09-07T08:36:08.6991334Z DOCS= 2025-09-07T08:36:08.6991478Z SHLVL=1 2025-09-07T08:36:08.6991620Z MAX_JOBS=22 2025-09-07T08:36:08.6991777Z GITHUB_ACTOR_ID=97764156 2025-09-07T08:36:08.6992038Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:36:08.6992316Z GITHUB_REF_NAME=main 2025-09-07T08:36:08.6992597Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:36:08.6992908Z GITHUB_JOB=test 2025-09-07T08:36:08.6993077Z NO_TEST_TIMEOUT=False 2025-09-07T08:36:08.6993256Z TD_DISTRIBUTED=False 2025-09-07T08:36:08.6993440Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T08:36:08.6993660Z GITHUB_RETENTION_DAYS=90 2025-09-07T08:36:08.6993846Z OPENSSL_DIR=/opt/openssl 2025-09-07T08:36:08.6994041Z GITHUB_ACTION_REPOSITORY= 2025-09-07T08:36:08.6994590Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T08:36:08.6995144Z GITHUB_BASE_REF= 2025-09-07T08:36:08.6995310Z INSTALLED_ACL= 2025-09-07T08:36:08.6995630Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_perf_cuda_h100-3-9-linux.aws.h100_49775781851 2025-09-07T08:36:08.6995990Z CI=true 2025-09-07T08:36:08.6996146Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T08:36:08.6996410Z RUST_LOG=sccache::server=error 2025-09-07T08:36:08.6996611Z JOB_ID=49775781851 2025-09-07T08:36:08.6996774Z GITHUB_HEAD_REF= 2025-09-07T08:36:08.6996932Z GITHUB_ACTION_REF= 2025-09-07T08:36:08.6997142Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T08:36:08.6997403Z TEST_SHOWLOCALS=False 2025-09-07T08:36:08.6997618Z GITHUB_WORKFLOW=inductor-perf-nightly-h100 2025-09-07T08:36:08.6997860Z DEBIAN_FRONTEND=noninteractive 2025-09-07T08:36:08.6998247Z GITHUB_OUTPUT=/home/bob/_work/_temp/_runner_file_commands/set_output_b6b1aa65-c5e8-431a-8460-894c18e6c99f 2025-09-07T08:36:08.6998647Z NO_TD=False 2025-09-07T08:36:08.6998827Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T08:36:08.6999053Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T08:36:08.6999280Z _=/usr/bin/env 2025-09-07T08:36:08.6999517Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T08:36:08.7254496Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-09-07T08:36:08.7255074Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-09-07T08:36:08.7255591Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-09-07T08:36:08.7256112Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-09-07T08:36:08.7256497Z + BUILD_DIR=build 2025-09-07T08:36:08.7256711Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T08:36:08.7256958Z + BUILD_BIN_DIR=build/bin 2025-09-07T08:36:08.7257185Z + SHARD_NUMBER=3 2025-09-07T08:36:08.7257380Z + NUM_TEST_SHARDS=9 2025-09-07T08:36:08.7257605Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:36:08.7258151Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:36:08.7258387Z + export VALGRIND=ON 2025-09-07T08:36:08.7258587Z + VALGRIND=ON 2025-09-07T08:36:08.7258846Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *clang9* ]] 2025-09-07T08:36:08.7259213Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *xpu* ]] 2025-09-07T08:36:08.7259512Z + detect_cuda_arch 2025-09-07T08:36:08.7259946Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T08:36:08.7260439Z + command -v nvidia-smi 2025-09-07T08:36:08.7260648Z /usr/bin/nvidia-smi 2025-09-07T08:36:08.7264073Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-09-07T08:36:08.7264993Z ++ tail -n 1 2025-09-07T08:36:08.7479523Z + TORCH_CUDA_ARCH_LIST=9.0 2025-09-07T08:36:08.7479814Z + export TORCH_CUDA_ARCH_LIST 2025-09-07T08:36:08.7480162Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *s390x* ]] 2025-09-07T08:36:08.7480733Z + [[ 0 == \1 ]] 2025-09-07T08:36:08.7480949Z + [[ True == \1 ]] 2025-09-07T08:36:08.7481243Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *bazel* ]] 2025-09-07T08:36:08.7484560Z ++ realpath build/custom_test_artifacts 2025-09-07T08:36:08.7495743Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T08:36:08.7496175Z + [[ -n '' ]] 2025-09-07T08:36:08.7496375Z + echo 'Environment variables' 2025-09-07T08:36:08.7496617Z Environment variables 2025-09-07T08:36:08.7496820Z + env 2025-09-07T08:36:08.7503695Z GITHUB_WORKSPACE=/home/bob/_work/pytorch/pytorch 2025-09-07T08:36:08.7504016Z CONTINUE_THROUGH_ERROR=True 2025-09-07T08:36:08.7504329Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T08:36:08.7504857Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T08:36:08.7505100Z HOSTNAME=814fd5585941 2025-09-07T08:36:08.7505526Z GITHUB_PATH=/home/bob/_work/_temp/_runner_file_commands/add_path_b6b1aa65-c5e8-431a-8460-894c18e6c99f 2025-09-07T08:36:08.7505987Z GITHUB_ACTION=__run_2 2025-09-07T08:36:08.7506209Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T08:36:08.7506463Z GITHUB_RUN_NUMBER=662 2025-09-07T08:36:08.7506717Z TEST_CONFIG=inductor_torchbench_perf_cuda_h100 2025-09-07T08:36:08.7507023Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T08:36:08.7507304Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T08:36:08.7507571Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:36:08.7507915Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T08:36:08.7508190Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T08:36:08.7508465Z GITHUB_REF_TYPE=branch 2025-09-07T08:36:08.7508684Z TORCH_CUDA_ARCH_LIST=9.0 2025-09-07T08:36:08.7508935Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:36:08.7509225Z XLA_CUDA= 2025-09-07T08:36:08.7509430Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T08:36:08.7509779Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T08:36:08.7510398Z *** 2025-09-07T08:36:08.7510603Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T08:36:08.7510847Z GITHUB_ACTIONS=true 2025-09-07T08:36:08.7511067Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:36:08.7511360Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:36:08.7511699Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:36:08.7512017Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:36:08.7512585Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-h100.yml@refs/heads/main 2025-09-07T08:36:08.7513105Z UCC_HOME=/usr 2025-09-07T08:36:08.7513302Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:36:08.7513550Z VERBOSE_TEST_LOGS=False 2025-09-07T08:36:08.7513778Z GITHUB_REF=refs/heads/main 2025-09-07T08:36:08.7514003Z SHARD_NUMBER=3 2025-09-07T08:36:08.7514197Z GITHUB_REF_PROTECTED=true 2025-09-07T08:36:08.7514421Z HOME=/var/lib/jenkins 2025-09-07T08:36:08.7514635Z SCCACHE_SERVER_PORT=5228 2025-09-07T08:36:08.7514888Z GITHUB_API_URL=https://api.github.com 2025-09-07T08:36:08.7515167Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T08:36:08.7515468Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T08:36:08.7515761Z USE_SYSTEM_NCCL=1 2025-09-07T08:36:08.7515970Z NUM_TEST_SHARDS=9 2025-09-07T08:36:08.7516397Z UCX_HOME=/usr 2025-09-07T08:36:08.7516803Z GITHUB_STATE=/home/bob/_work/_temp/_runner_file_commands/save_state_b6b1aa65-c5e8-431a-8460-894c18e6c99f 2025-09-07T08:36:08.7517439Z JOB_NAME=test-weekly / test (inductor_torchbench_perf_cuda_h100, 3, 9, linux.aws.h100) 2025-09-07T08:36:08.7518208Z GITHUB_ENV=/home/bob/_work/_temp/_runner_file_commands/set_env_b6b1aa65-c5e8-431a-8460-894c18e6c99f 2025-09-07T08:36:08.7518703Z GITHUB_EVENT_PATH=/home/bob/_work/_temp/_github_workflow/event.json 2025-09-07T08:36:08.7519004Z GITHUB_EVENT_NAME=schedule 2025-09-07T08:36:08.7519914Z DASHBOARD_TAG=training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T08:36:08.7521004Z GITHUB_RUN_ID=17525296438 2025-09-07T08:36:08.7521204Z INSTALLED_OPENBLAS= 2025-09-07T08:36:08.7521605Z GITHUB_STEP_SUMMARY=/home/bob/_work/_temp/_runner_file_commands/step_summary_b6b1aa65-c5e8-431a-8460-894c18e6c99f 2025-09-07T08:36:08.7522024Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T08:36:08.7522218Z PR_NUMBER= 2025-09-07T08:36:08.7522385Z DESIRED_CUDA=12.8.1 2025-09-07T08:36:08.7522556Z GITHUB_RUN_ATTEMPT=1 2025-09-07T08:36:08.7522722Z VALGRIND=ON 2025-09-07T08:36:08.7522886Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T08:36:08.7523130Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T08:36:08.7523376Z TERM=vt100 2025-09-07T08:36:08.7523526Z INSTALLED_VISION=yes 2025-09-07T08:36:08.7523695Z BRANCH=main 2025-09-07T08:36:08.7523856Z SCCACHE_REGION=us-east-1 2025-09-07T08:36:08.7524051Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T08:36:08.7524248Z CUDA_PATH=/usr/local/cuda 2025-09-07T08:36:08.7524550Z GITHUB_ACTION_PATH=/home/bob/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T08:36:08.7524893Z GITHUB_SERVER_URL=https://github.com 2025-09-07T08:36:08.7525155Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T08:36:08.7525399Z REENABLED_ISSUES= 2025-09-07T08:36:08.7525569Z DOCS= 2025-09-07T08:36:08.7525715Z SHLVL=1 2025-09-07T08:36:08.7525859Z MAX_JOBS=22 2025-09-07T08:36:08.7526011Z GITHUB_ACTOR_ID=97764156 2025-09-07T08:36:08.7526253Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:36:08.7526523Z GITHUB_REF_NAME=main 2025-09-07T08:36:08.7526797Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:36:08.7527098Z GITHUB_JOB=test 2025-09-07T08:36:08.7527264Z NO_TEST_TIMEOUT=False 2025-09-07T08:36:08.7527444Z TD_DISTRIBUTED=False 2025-09-07T08:36:08.7527634Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T08:36:08.7527848Z GITHUB_RETENTION_DAYS=90 2025-09-07T08:36:08.7528049Z OPENSSL_DIR=/opt/openssl 2025-09-07T08:36:08.7528254Z GITHUB_ACTION_REPOSITORY= 2025-09-07T08:36:08.7528805Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T08:36:08.7529361Z GITHUB_BASE_REF= 2025-09-07T08:36:08.7529537Z INSTALLED_ACL= 2025-09-07T08:36:08.7529858Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_perf_cuda_h100-3-9-linux.aws.h100_49775781851 2025-09-07T08:36:08.7530344Z CI=true 2025-09-07T08:36:08.7530506Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T08:36:08.7530763Z RUST_LOG=sccache::server=error 2025-09-07T08:36:08.7530962Z JOB_ID=49775781851 2025-09-07T08:36:08.7531143Z GITHUB_HEAD_REF= 2025-09-07T08:36:08.7531301Z GITHUB_ACTION_REF= 2025-09-07T08:36:08.7531512Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T08:36:08.7531769Z TEST_SHOWLOCALS=False 2025-09-07T08:36:08.7531979Z GITHUB_WORKFLOW=inductor-perf-nightly-h100 2025-09-07T08:36:08.7532217Z DEBIAN_FRONTEND=noninteractive 2025-09-07T08:36:08.7532595Z GITHUB_OUTPUT=/home/bob/_work/_temp/_runner_file_commands/set_output_b6b1aa65-c5e8-431a-8460-894c18e6c99f 2025-09-07T08:36:08.7532978Z NO_TD=False 2025-09-07T08:36:08.7533144Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T08:36:08.7533364Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T08:36:08.7533809Z _=/usr/bin/env 2025-09-07T08:36:08.7533979Z + echo 'Testing pytorch' 2025-09-07T08:36:08.7534163Z Testing pytorch 2025-09-07T08:36:08.7534331Z + export LANG=C.UTF-8 2025-09-07T08:36:08.7534507Z + LANG=C.UTF-8 2025-09-07T08:36:08.7534665Z + PR_NUMBER= 2025-09-07T08:36:08.7534876Z + [[ inductor_torchbench_perf_cuda_h100 == \d\e\f\a\u\l\t ]] 2025-09-07T08:36:08.7535339Z + [[ inductor_torchbench_perf_cuda_h100 == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T08:36:08.7535680Z + [[ inductor_torchbench_perf_cuda_h100 == \s\l\o\w ]] 2025-09-07T08:36:08.7536023Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *slow-gradcheck* ]] 2025-09-07T08:36:08.7536364Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T08:36:08.7536644Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T08:36:08.7536906Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T08:36:08.7537174Z + [[ inductor_torchbench_perf_cuda_h100 == *crossref* ]] 2025-09-07T08:36:08.7537475Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T08:36:08.7537771Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *xpu* ]] 2025-09-07T08:36:08.7538083Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *-bazel-* ]] 2025-09-07T08:36:08.7538354Z + pip_install ninja==1.10.2 2025-09-07T08:36:08.7538619Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T08:36:08.7538949Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T08:36:09.7175467Z Collecting ninja==1.10.2 2025-09-07T08:36:09.7558807Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T08:36:10.1854139Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T08:36:12.2162956Z Installing collected packages: ninja 2025-09-07T08:36:12.2163378Z Attempting uninstall: ninja 2025-09-07T08:36:12.2170436Z Found existing installation: ninja 1.11.1.3 2025-09-07T08:36:12.2193292Z Uninstalling ninja-1.11.1.3: 2025-09-07T08:36:12.7424086Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T08:36:14.2114289Z Successfully installed ninja-1.10.2 2025-09-07T08:36:14.3456841Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T08:36:14.3458336Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T08:36:14.3459350Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *aarch64* ]] 2025-09-07T08:36:14.3459740Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *asan* ]] 2025-09-07T08:36:14.3460179Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-debug* ]] 2025-09-07T08:36:14.3461024Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *-bazel-* ]] 2025-09-07T08:36:14.3461577Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm90. Expect the assertion to pass' 2025-09-07T08:36:14.3462277Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm90. Expect the assertion to pass 2025-09-07T08:36:14.3462727Z + cd test 2025-09-07T08:36:14.3463104Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T08:36:14.8984398Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:36:14.8985511Z import pynvml # type: ignore[import] 2025-09-07T08:36:15.8906262Z + [[ inductor_torchbench_perf_cuda_h100 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T08:36:15.8906801Z + [[ inductor_torchbench_perf_cuda_h100 == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T08:36:15.8907303Z + [[ inductor_torchbench_perf_cuda_h100 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T08:36:15.8909279Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T08:36:15.8910110Z + [[ inductor_torchbench_perf_cuda_h100 == *pr_time_benchmarks* ]] 2025-09-07T08:36:15.8911172Z + [[ inductor_torchbench_perf_cuda_h100 == *dynamo_eager* ]] 2025-09-07T08:36:15.8911560Z + [[ inductor_torchbench_perf_cuda_h100 == *aot_eager* ]] 2025-09-07T08:36:15.8912257Z + [[ inductor_torchbench_perf_cuda_h100 == *aot_inductor* ]] 2025-09-07T08:36:15.8912703Z + [[ inductor_torchbench_perf_cuda_h100 == *max_autotune_inductor* ]] 2025-09-07T08:36:15.8913114Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor* ]] 2025-09-07T08:36:15.8913474Z + [[ inductor_torchbench_perf_cuda_h100 != *perf* ]] 2025-09-07T08:36:15.8913814Z + [[ inductor_torchbench_perf_cuda_h100 == *dynamic* ]] 2025-09-07T08:36:15.8914156Z + [[ inductor_torchbench_perf_cuda_h100 == *cpu* ]] 2025-09-07T08:36:15.8914482Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-09-07T08:36:15.8928694Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *libtorch* ]] 2025-09-07T08:36:15.8929065Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-bazel-* ]] 2025-09-07T08:36:15.8932161Z + cd test 2025-09-07T08:36:15.8941198Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T08:36:16.3714797Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:36:16.3716080Z import pynvml # type: ignore[import] 2025-09-07T08:36:18.5682809Z PyTorch built with: 2025-09-07T08:36:18.5683096Z - GCC 9.5 2025-09-07T08:36:18.5683305Z - C++ Version: 201703 2025-09-07T08:36:18.5683843Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T08:36:18.5684516Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T08:36:18.5684924Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T08:36:18.5685288Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T08:36:18.5685595Z - NNPACK is enabled 2025-09-07T08:36:18.5685844Z - CPU capability usage: AVX2 2025-09-07T08:36:18.5686098Z - CUDA Runtime 12.8 2025-09-07T08:36:18.5686436Z - NVCC architecture flags: -gencode;arch=compute_90,code=sm_90 2025-09-07T08:36:18.5686795Z - CuDNN 90.8 2025-09-07T08:36:18.5691365Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=93fb23d6fae7c4e82c4239a1033e522088742634, CUDA_VERSION=12.8, CUDNN_VERSION=9.8.0, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=ON, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-09-07T08:36:18.5695094Z 2025-09-07T08:36:19.9551577Z + cd test 2025-09-07T08:36:19.9552059Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T08:36:20.5684136Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:36:20.5686723Z import pynvml # type: ignore[import] 2025-09-07T08:36:21.2832205Z ATen/Parallel: 2025-09-07T08:36:21.2832488Z at::get_num_threads() : 24 2025-09-07T08:36:21.2832742Z at::get_num_interop_threads() : 96 2025-09-07T08:36:21.2833009Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T08:36:21.2833261Z omp_get_max_threads() : 24 2025-09-07T08:36:21.2834204Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T08:36:21.2834750Z mkl_get_max_threads() : 24 2025-09-07T08:36:21.2835086Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T08:36:21.2835486Z std::thread::hardware_concurrency() : 192 2025-09-07T08:36:21.2835767Z Environment variables: 2025-09-07T08:36:21.2835987Z OMP_NUM_THREADS : [not set] 2025-09-07T08:36:21.2836230Z MKL_NUM_THREADS : [not set] 2025-09-07T08:36:21.2836475Z ATen parallel backend: OpenMP 2025-09-07T08:36:21.2836658Z 2025-09-07T08:36:21.5434939Z + [[ inductor_torchbench_perf_cuda_h100 == *numpy_2* ]] 2025-09-07T08:36:21.5435367Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *aarch64* ]] 2025-09-07T08:36:21.5435751Z + [[ inductor_torchbench_perf_cuda_h100 == *backward* ]] 2025-09-07T08:36:21.5436086Z + [[ inductor_torchbench_perf_cuda_h100 == *xla* ]] 2025-09-07T08:36:21.5436442Z + [[ inductor_torchbench_perf_cuda_h100 == *vllm* ]] 2025-09-07T08:36:21.5436797Z + [[ inductor_torchbench_perf_cuda_h100 == *executorch* ]] 2025-09-07T08:36:21.5437191Z + [[ inductor_torchbench_perf_cuda_h100 == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T08:36:21.5437597Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *libtorch* ]] 2025-09-07T08:36:21.5437971Z + [[ inductor_torchbench_perf_cuda_h100 == distributed ]] 2025-09-07T08:36:21.5438366Z + [[ inductor_torchbench_perf_cuda_h100 == *operator_benchmark* ]] 2025-09-07T08:36:21.5438801Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor_distributed* ]] 2025-09-07T08:36:21.5439231Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor-halide* ]] 2025-09-07T08:36:21.5439661Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor-triton-cpu* ]] 2025-09-07T08:36:21.5440124Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor-micro-benchmark* ]] 2025-09-07T08:36:21.5441511Z + [[ inductor_torchbench_perf_cuda_h100 == *huggingface* ]] 2025-09-07T08:36:21.5441875Z + [[ inductor_torchbench_perf_cuda_h100 == *timm* ]] 2025-09-07T08:36:21.5442217Z + [[ inductor_torchbench_perf_cuda_h100 == cachebench ]] 2025-09-07T08:36:21.5442592Z + [[ inductor_torchbench_perf_cuda_h100 == verify_cachebench ]] 2025-09-07T08:36:21.5442966Z + [[ inductor_torchbench_perf_cuda_h100 == *torchbench* ]] 2025-09-07T08:36:21.5443250Z + install_torchaudio 2025-09-07T08:36:21.5443447Z + local commit 2025-09-07T08:36:21.5443633Z ++ get_pinned_commit audio 2025-09-07T08:36:21.5443856Z ++ cat .github/ci_commit_pins/audio.txt 2025-09-07T08:36:21.5456883Z + commit=2e300559e4e123928a22187b8f59a5b56f57ddc8 2025-09-07T08:36:21.5457411Z + pip_build_and_install git+https://github.com/pytorch/audio.git@2e300559e4e123928a22187b8f59a5b56f57ddc8 dist/audio 2025-09-07T08:36:21.5458070Z + local build_target=git+https://github.com/pytorch/audio.git@2e300559e4e123928a22187b8f59a5b56f57ddc8 2025-09-07T08:36:21.5458506Z + local wheel_dir=dist/audio 2025-09-07T08:36:21.5458711Z + local found_whl=0 2025-09-07T08:36:21.5458958Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:36:21.5459306Z + [[ -f dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T08:36:21.5459636Z + found_whl=1 2025-09-07T08:36:21.5459794Z + break 2025-09-07T08:36:21.5459942Z + '[' 1 == 0 ']' 2025-09-07T08:36:21.5460124Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:36:21.5460625Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T08:36:21.5461099Z + args=('dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl') 2025-09-07T08:36:21.5461429Z + local args 2025-09-07T08:36:21.5461736Z + [[ dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T08:36:21.5462621Z + for path in "${args[@]}" 2025-09-07T08:36:21.5463063Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl' 2025-09-07T08:36:21.5463573Z Installing dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T08:36:21.5464327Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T08:36:21.9856215Z Processing ./dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T08:36:21.9915201Z Installing collected packages: torchaudio 2025-09-07T08:36:23.9130742Z Successfully installed torchaudio-2.8.0a0+2e30055 2025-09-07T08:36:24.0665660Z + install_torchvision 2025-09-07T08:36:24.0665927Z + local orig_preload 2025-09-07T08:36:24.0666157Z + local commit 2025-09-07T08:36:24.0671426Z ++ get_pinned_commit vision 2025-09-07T08:36:24.0671717Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T08:36:24.2533568Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T08:36:24.2533926Z + orig_preload= 2025-09-07T08:36:24.2534164Z + '[' -n '' ']' 2025-09-07T08:36:24.2534439Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T08:36:24.2534795Z + export FORCE_CUDA=1 2025-09-07T08:36:24.2535017Z + FORCE_CUDA=1 2025-09-07T08:36:24.2535220Z + export WITH_CUDA=1 2025-09-07T08:36:24.2535464Z + WITH_CUDA=1 2025-09-07T08:36:24.2535993Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T08:36:24.2536820Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T08:36:24.2537344Z + local wheel_dir=dist/vision 2025-09-07T08:36:24.2537594Z + local found_whl=0 2025-09-07T08:36:24.3223035Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:36:24.3223481Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T08:36:24.3223915Z + found_whl=1 2025-09-07T08:36:24.3224128Z + break 2025-09-07T08:36:24.3224309Z + '[' 1 == 0 ']' 2025-09-07T08:36:24.3224538Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:36:24.3224990Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:36:24.3225597Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl') 2025-09-07T08:36:24.3226013Z + local args 2025-09-07T08:36:24.3226367Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T08:36:24.3226825Z + for path in "${args[@]}" 2025-09-07T08:36:24.3227252Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl' 2025-09-07T08:36:24.3227879Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:36:24.3228617Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:36:24.7575935Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:36:24.7661818Z Installing collected packages: torchvision 2025-09-07T08:36:26.1298361Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T08:36:26.1661164Z + '[' -n '' ']' 2025-09-07T08:36:26.1661392Z + id=2 2025-09-07T08:36:26.1661615Z + pip_install opencv-python==4.8.0.74 2025-09-07T08:36:26.1665346Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T08:36:26.1665912Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74 2025-09-07T08:36:27.7971659Z Collecting opencv-python==4.8.0.74 2025-09-07T08:36:27.8392698Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) 2025-09-07T08:36:29.1693105Z Requirement already satisfied: numpy>=1.21.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opencv-python==4.8.0.74) (1.22.4) 2025-09-07T08:36:29.1831161Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB) 2025-09-07T08:36:33.4610980Z Installing collected packages: opencv-python 2025-09-07T08:36:33.4611568Z Attempting uninstall: opencv-python 2025-09-07T08:36:33.4621303Z Found existing installation: opencv-python 4.11.0.86 2025-09-07T08:36:33.4707664Z Uninstalling opencv-python-4.11.0.86: 2025-09-07T08:36:33.7668849Z Successfully uninstalled opencv-python-4.11.0.86 2025-09-07T08:36:36.0958549Z Successfully installed opencv-python-4.8.0.74 2025-09-07T08:36:36.1834440Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor_torchbench_smoketest_perf* ]] 2025-09-07T08:36:36.1835048Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor_torchbench_cpu_smoketest_perf* ]] 2025-09-07T08:36:36.1835593Z + [[ inductor_torchbench_perf_cuda_h100 == *torchbench_gcp_smoketest* ]] 2025-09-07T08:36:36.1836100Z + [[ inductor_torchbench_perf_cuda_h100 != *cpu* ]] 2025-09-07T08:36:36.1836421Z + install_torchrec_and_fbgemm 2025-09-07T08:36:36.1836674Z + local torchrec_commit 2025-09-07T08:36:36.1842721Z ++ get_pinned_commit torchrec 2025-09-07T08:36:36.1843009Z ++ cat .github/ci_commit_pins/torchrec.txt 2025-09-07T08:36:36.1853516Z + torchrec_commit=6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-09-07T08:36:36.1853834Z + local fbgemm_commit 2025-09-07T08:36:36.1857482Z ++ get_pinned_commit fbgemm 2025-09-07T08:36:36.1857717Z ++ cat .github/ci_commit_pins/fbgemm.txt 2025-09-07T08:36:36.1871477Z + fbgemm_commit=de731af65b4f04696e85c729e3282450b51b95fd 2025-09-07T08:36:36.1871848Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T08:36:36.1872146Z + pip_uninstall torchrec-nightly 2025-09-07T08:36:36.1872401Z + pip3 uninstall -y torchrec-nightly 2025-09-07T08:36:36.5412921Z WARNING: Skipping torchrec-nightly as it is not installed. 2025-09-07T08:36:36.5738722Z + pip_uninstall fbgemm-gpu-nightly 2025-09-07T08:36:36.5739186Z + pip3 uninstall -y fbgemm-gpu-nightly 2025-09-07T08:36:36.9285111Z WARNING: Skipping fbgemm-gpu-nightly as it is not installed. 2025-09-07T08:36:36.9645217Z + pip_install setuptools-git-versioning scikit-build pyre-extensions 2025-09-07T08:36:36.9645732Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T08:36:36.9646390Z + python3 -m pip install --progress-bar off setuptools-git-versioning scikit-build pyre-extensions 2025-09-07T08:36:37.3188571Z Requirement already satisfied: setuptools-git-versioning in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.1.0) 2025-09-07T08:36:37.3191168Z Requirement already satisfied: scikit-build in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.18.1) 2025-09-07T08:36:37.3193727Z Requirement already satisfied: pyre-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.0.32) 2025-09-07T08:36:37.3204891Z Requirement already satisfied: packaging in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (25.0) 2025-09-07T08:36:37.3207898Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (80.9.0) 2025-09-07T08:36:37.3214526Z Requirement already satisfied: tomli>=2.0.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (2.2.1) 2025-09-07T08:36:37.3255967Z Requirement already satisfied: distro in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from scikit-build) (1.9.0) 2025-09-07T08:36:37.3264334Z Requirement already satisfied: wheel>=0.32.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from scikit-build) (0.45.1) 2025-09-07T08:36:37.3271421Z Requirement already satisfied: typing-inspect in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (0.9.0) 2025-09-07T08:36:37.3274382Z Requirement already satisfied: typing-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (4.15.0) 2025-09-07T08:36:37.3348783Z Requirement already satisfied: mypy-extensions>=0.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from typing-inspect->pyre-extensions) (1.1.0) 2025-09-07T08:36:38.2297641Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T08:36:38.2298402Z + pip_build_and_install git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 dist/torchrec 2025-09-07T08:36:38.2299890Z + local build_target=git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-09-07T08:36:38.2300889Z + local wheel_dir=dist/torchrec 2025-09-07T08:36:38.2301142Z + local found_whl=0 2025-09-07T08:36:38.2301387Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:36:38.2301717Z + [[ -f dist/torchrec/torchrec-0.3.2-py3-none-any.whl ]] 2025-09-07T08:36:38.2302035Z + found_whl=1 2025-09-07T08:36:38.2302238Z + break 2025-09-07T08:36:38.2302418Z + '[' 1 == 0 ']' 2025-09-07T08:36:38.2302632Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:36:38.2303099Z + pip_install_whl dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T08:36:38.2303521Z + args=('dist/torchrec/torchrec-0.3.2-py3-none-any.whl') 2025-09-07T08:36:38.2303853Z + local args 2025-09-07T08:36:38.2304130Z + [[ dist/torchrec/torchrec-0.3.2-py3-none-any.whl == *\ * ]] 2025-09-07T08:36:38.2304475Z + for path in "${args[@]}" 2025-09-07T08:36:38.2304801Z + echo 'Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl' 2025-09-07T08:36:38.2305229Z Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T08:36:38.2305750Z + python3 -mpip install --no-index --no-deps dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T08:36:38.5719139Z Processing ./dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T08:36:38.5779834Z Installing collected packages: torchrec 2025-09-07T08:36:39.0338415Z Successfully installed torchrec-0.3.2 2025-09-07T08:36:39.0676283Z + pip_build_and_install git+https://github.com/pytorch/FBGEMM.git@de731af65b4f04696e85c729e3282450b51b95fd#subdirectory=fbgemm_gpu dist/fbgemm_gpu 2025-09-07T08:36:39.0677568Z + local build_target=git+https://github.com/pytorch/FBGEMM.git@de731af65b4f04696e85c729e3282450b51b95fd#subdirectory=fbgemm_gpu 2025-09-07T08:36:39.0678253Z + local wheel_dir=dist/fbgemm_gpu 2025-09-07T08:36:39.0678539Z + local found_whl=0 2025-09-07T08:36:39.0678777Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:36:39.0679188Z + [[ -f dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T08:36:39.0679604Z + found_whl=1 2025-09-07T08:36:39.0679801Z + break 2025-09-07T08:36:39.0680002Z + '[' 1 == 0 ']' 2025-09-07T08:36:39.0680592Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:36:39.0681064Z + pip_install_whl dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T08:36:39.0681677Z + args=('dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl') 2025-09-07T08:36:39.0682095Z + local args 2025-09-07T08:36:39.0682443Z + [[ dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T08:36:39.0682882Z + for path in "${args[@]}" 2025-09-07T08:36:39.0683301Z + echo 'Installing dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl' 2025-09-07T08:36:39.0683921Z Installing dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T08:36:39.0684622Z + python3 -mpip install --no-index --no-deps dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T08:36:39.4071438Z Processing ./dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T08:36:39.5002295Z Installing collected packages: fbgemm-gpu 2025-09-07T08:36:41.2849444Z Successfully installed fbgemm-gpu-0.4.1.post421 2025-09-07T08:36:41.3157138Z + PYTHONPATH=/torchbench 2025-09-07T08:36:41.3157478Z + test_dynamo_benchmark torchbench 2 2025-09-07T08:36:41.3166058Z ++ pwd 2025-09-07T08:36:41.3170362Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:36:41.3170695Z + local suite=torchbench 2025-09-07T08:36:41.3170916Z + shift 2025-09-07T08:36:41.3171078Z + local shard_id=2 2025-09-07T08:36:41.3171259Z + shift 2025-09-07T08:36:41.3171495Z + [[ inductor_torchbench_perf_cuda_h100 == *perf_compare* ]] 2025-09-07T08:36:41.3172612Z + [[ inductor_torchbench_perf_cuda_h100 == *perf* ]] 2025-09-07T08:36:41.3172918Z + [[ inductor_torchbench_perf_cuda_h100 == *b200* ]] 2025-09-07T08:36:41.3173232Z + test_single_dynamo_benchmark dashboard torchbench 2 2025-09-07T08:36:41.3175764Z ++ pwd 2025-09-07T08:36:41.3178977Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:36:41.3179375Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:36:41.3201184Z + local name=dashboard 2025-09-07T08:36:41.3201409Z + shift 2025-09-07T08:36:41.3201617Z + local suite=torchbench 2025-09-07T08:36:41.3201835Z + shift 2025-09-07T08:36:41.3202023Z + local shard_id=2 2025-09-07T08:36:41.3202226Z + shift 2025-09-07T08:36:41.3202408Z + partition_flags=() 2025-09-07T08:36:41.3202636Z + local partition_flags 2025-09-07T08:36:41.3202858Z + [[ -n 9 ]] 2025-09-07T08:36:41.3203047Z + [[ -n 2 ]] 2025-09-07T08:36:41.3203405Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T08:36:41.3203917Z + [[ inductor_torchbench_perf_cuda_h100 == *perf_compare* ]] 2025-09-07T08:36:41.3204282Z + [[ inductor_torchbench_perf_cuda_h100 == *perf* ]] 2025-09-07T08:36:41.3204758Z + test_perf_for_dashboard torchbench --device cuda --total-partitions 9 --partition-id 2 2025-09-07T08:36:41.3206793Z ++ pwd 2025-09-07T08:36:41.3209331Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:36:41.3209715Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:36:41.3226465Z + local suite=torchbench 2025-09-07T08:36:41.3226689Z + shift 2025-09-07T08:36:41.3226860Z + local backend=inductor 2025-09-07T08:36:41.3227068Z + modes=() 2025-09-07T08:36:41.3227235Z + local modes 2025-09-07T08:36:41.3228373Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *training-true* ]] 2025-09-07T08:36:41.3229588Z + modes+=(training) 2025-09-07T08:36:41.3230857Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *inference-true* ]] 2025-09-07T08:36:41.3232038Z + modes+=(inference) 2025-09-07T08:36:41.3232274Z + targets=('accuracy' 'performance') 2025-09-07T08:36:41.3232527Z + local targets 2025-09-07T08:36:41.3232718Z + local device=cuda 2025-09-07T08:36:41.3232950Z + [[ inductor_torchbench_perf_cuda_h100 == *cpu* ]] 2025-09-07T08:36:41.3233291Z + [[ inductor_torchbench_perf_cuda_h100 == *cuda_a10g* ]] 2025-09-07T08:36:41.3233630Z + [[ inductor_torchbench_perf_cuda_h100 == *h100* ]] 2025-09-07T08:36:41.3233919Z + device=cuda_h100 2025-09-07T08:36:41.3234128Z + for mode in "${modes[@]}" 2025-09-07T08:36:41.3234363Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T08:36:41.3234617Z + [[ training == \t\r\a\i\n\i\n\g ]] 2025-09-07T08:36:41.3234862Z + dtype=amp 2025-09-07T08:36:41.3235055Z + for target in "${targets[@]}" 2025-09-07T08:36:41.3235295Z + target_flag=('--accuracy') 2025-09-07T08:36:41.3235528Z + local target_flag 2025-09-07T08:36:41.3235745Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T08:36:41.3236011Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T08:36:41.3236292Z + target_flag+=(--no-translation-validation) 2025-09-07T08:36:41.3237506Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freezing-true* ]] 2025-09-07T08:36:41.3239334Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *default-true* ]] 2025-09-07T08:36:41.3241216Z + python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 9 --partition-id 2 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.csv 2025-09-07T08:36:41.8716407Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:36:41.8717736Z import pynvml # type: ignore[import] 2025-09-07T08:36:46.0271175Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:36:46.0272410Z import pynvml # type: ignore[import] 2025-09-07T08:36:48.5124113Z 2025-09-07T08:36:48.8083627Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc' 2025-09-07T08:36:48.8084318Z what(): std::bad_alloc 2025-09-07T08:36:49.0528816Z Run failed with return code: -6 2025-09-07T08:36:49.0529259Z Output: None 2025-09-07T08:36:49.0529562Z Error: None 2025-09-07T08:36:49.6034834Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:36:49.6036663Z import pynvml # type: ignore[import] 2025-09-07T08:36:52.1071476Z 2025-09-07T08:36:59.4847520Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:36:59.4848059Z loading model: 0it [00:07, ?it/s] 2025-09-07T08:36:59.4848467Z cuda train dlrm 2025-09-07T08:37:06.1445098Z pass 2025-09-07T08:37:09.0842304Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:37:09.0844030Z import pynvml # type: ignore[import] 2025-09-07T08:37:11.6010931Z 2025-09-07T08:37:11.6640812Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality. 2025-09-07T08:37:11.6641788Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade. 2025-09-07T08:37:13.4195247Z Users of this version of Gym should be able to simply replace 'import gym' with 'import gymnasium as gym' in the vast majority of cases. 2025-09-07T08:37:13.4196182Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information. 2025-09-07T08:37:13.4196676Z 2025-09-07T08:37:13.4196766Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:37:13.4197041Z cuda train drq 2025-09-07T08:37:21.5238456Z W0907 08:37:21.523000 956 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:37:25.9266053Z pass 2025-09-07T08:37:28.8630564Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:37:28.8632222Z import pynvml # type: ignore[import] 2025-09-07T08:37:31.2805716Z 2025-09-07T08:37:33.5157524Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:37:33.5157878Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:37:33.5335908Z cuda train fastNLP_Bert 2025-09-07T08:37:34.2342798Z W0907 08:37:34.233000 1657 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T08:37:34.2343799Z W0907 08:37:34.233000 1657 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T08:37:34.2345004Z W0907 08:37:34.233000 1657 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: 2025-09-07T08:37:34.2345692Z W0907 08:37:34.233000 1657 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T08:37:34.2346513Z W0907 08:37:34.233000 1657 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. 2025-09-07T08:37:34.2347195Z W0907 08:37:34.233000 1657 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:37:34.2347806Z W0907 08:37:34.233000 1657 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: 2025-09-07T08:37:34.2348899Z W0907 08:37:34.233000 1657 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-09-07T08:37:34.2349981Z W0907 08:37:34.233000 1657 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] pred = mod(*cloned_inputs) 2025-09-07T08:37:34.2351303Z W0907 08:37:34.233000 1657 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/models/bert.py", line 265, in forward 2025-09-07T08:37:34.2352287Z W0907 08:37:34.233000 1657 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] sequence_output = self.bert(words) 2025-09-07T08:37:34.2353301Z W0907 08:37:34.233000 1657 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 137, in forward 2025-09-07T08:37:34.2354257Z W0907 08:37:34.233000 1657 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] outputs = self.model(words) 2025-09-07T08:37:34.2355208Z W0907 08:37:34.233000 1657 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward 2025-09-07T08:37:34.2358799Z W0907 08:37:34.233000 1657 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item() # 表示word piece的长度(包括padding) 2025-09-07T08:37:34.2359631Z W0907 08:37:34.233000 1657 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:37:34.2360121Z W0907 08:37:34.233000 1657 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:38:06.7527361Z pass 2025-09-07T08:38:10.5362352Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:38:10.5365103Z import pynvml # type: ignore[import] 2025-09-07T08:38:12.9920458Z 2025-09-07T08:38:14.3154286Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:38:14.3154633Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:38:14.3154933Z cuda train functorch_dp_cifar10 2025-09-07T08:38:32.0081389Z W0907 08:38:32.007000 2906 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:38:41.3522484Z pass 2025-09-07T08:38:44.8219897Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:38:44.8223027Z import pynvml # type: ignore[import] 2025-09-07T08:38:47.2977855Z 2025-09-07T08:38:48.1141130Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:38:48.1141565Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:38:48.1141955Z cuda train functorch_maml_omniglot 2025-09-07T08:38:57.1045028Z W0907 08:38:57.103000 4242 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:39:00.1275337Z pass 2025-09-07T08:39:02.5997634Z accuracy pass_rate=100.00% 2025-09-07T08:39:02.6003098Z calls_captured gmean=168.07x mean=234.200x 2025-09-07T08:39:02.6006439Z unique_graphs gmean=3.63x mean=4.000x 2025-09-07T08:39:02.6010356Z graph_breaks gmean=7.29x mean=7.400x 2025-09-07T08:39:02.6013681Z unique_graph_breaks gmean=5.19x mean=5.200x 2025-09-07T08:39:02.6016837Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:39:02.6019846Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:39:02.6023470Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T08:39:02.6024523Z compilation_latency mean=17.731 seconds 2025-09-07T08:39:03.4238947Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *cudagraphs-true* ]] 2025-09-07T08:39:03.4241503Z + python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 9 --partition-id 2 --output /var/lib/jenkins/workspace/test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.csv 2025-09-07T08:39:03.9516074Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:39:03.9518085Z import pynvml # type: ignore[import] 2025-09-07T08:39:07.7835254Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:39:07.7836589Z import pynvml # type: ignore[import] 2025-09-07T08:39:10.4828432Z 2025-09-07T08:39:10.8041373Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc' 2025-09-07T08:39:10.8041880Z what(): std::bad_alloc 2025-09-07T08:39:11.0021462Z Run failed with return code: -6 2025-09-07T08:39:11.0021767Z Output: None 2025-09-07T08:39:11.0021954Z Error: None 2025-09-07T08:39:11.5525816Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:39:11.5527670Z import pynvml # type: ignore[import] 2025-09-07T08:39:14.0533812Z 2025-09-07T08:39:21.4745000Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:39:21.4745538Z loading model: 0it [00:07, ?it/s] 2025-09-07T08:39:21.4745960Z cuda train dlrm 2025-09-07T08:39:26.8425795Z skipping cudagraphs due to sparsity not handled. Please file issue for sparse inference weights. Found from : 2025-09-07T08:39:26.8426878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-09-07T08:39:26.8427592Z pred = mod(*cloned_inputs) 2025-09-07T08:39:26.8428074Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-09-07T08:39:26.8429306Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-09-07T08:39:26.8429878Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward 2025-09-07T08:39:26.8430839Z ly = self.apply_emb(lS_o, lS_i, self.emb_l) 2025-09-07T08:39:26.8431342Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb 2025-09-07T08:39:26.8432187Z V = E(sparse_index_group_batch, sparse_offset_group_batch) 2025-09-07T08:39:26.8432465Z 2025-09-07T08:39:27.0069135Z pass 2025-09-07T08:39:29.6486939Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:39:29.6488676Z import pynvml # type: ignore[import] 2025-09-07T08:39:32.1524959Z 2025-09-07T08:39:32.2138463Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality. 2025-09-07T08:39:32.2139855Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade. 2025-09-07T08:39:32.2141517Z Users of this version of Gym should be able to simply replace 'import gym' with 'import gymnasium as gym' in the vast majority of cases. 2025-09-07T08:39:32.2142741Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information. 2025-09-07T08:39:36.4159832Z 2025-09-07T08:39:36.4160594Z loading model: 0it [00:04, ?it/s] 2025-09-07T08:39:36.4160970Z cuda train drq 2025-09-07T08:39:41.5928044Z W0907 08:39:41.591000 5290 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:39:44.7513197Z pass 2025-09-07T08:39:48.3547125Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:39:48.3548392Z import pynvml # type: ignore[import] 2025-09-07T08:39:51.2111075Z 2025-09-07T08:39:53.1246920Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:39:53.1247295Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:39:53.1247600Z cuda train fastNLP_Bert 2025-09-07T08:39:53.8894163Z W0907 08:39:53.888000 5585 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T08:39:53.8895119Z W0907 08:39:53.888000 5585 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T08:39:53.8895872Z W0907 08:39:53.888000 5585 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: 2025-09-07T08:39:53.8896627Z W0907 08:39:53.888000 5585 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T08:39:53.8897482Z W0907 08:39:53.888000 5585 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. 2025-09-07T08:39:53.8898200Z W0907 08:39:53.888000 5585 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:39:53.8898862Z W0907 08:39:53.888000 5585 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: 2025-09-07T08:39:53.8900015Z W0907 08:39:53.888000 5585 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-09-07T08:39:53.8901501Z W0907 08:39:53.888000 5585 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] pred = mod(*cloned_inputs) 2025-09-07T08:39:53.8903218Z W0907 08:39:53.888000 5585 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/models/bert.py", line 265, in forward 2025-09-07T08:39:53.8904120Z W0907 08:39:53.888000 5585 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] sequence_output = self.bert(words) 2025-09-07T08:39:53.8905307Z W0907 08:39:53.888000 5585 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 137, in forward 2025-09-07T08:39:53.8906229Z W0907 08:39:53.888000 5585 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] outputs = self.model(words) 2025-09-07T08:39:53.8907157Z W0907 08:39:53.888000 5585 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward 2025-09-07T08:39:53.8908707Z W0907 08:39:53.888000 5585 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item() # 表示word piece的长度(包括padding) 2025-09-07T08:39:53.8909503Z W0907 08:39:53.888000 5585 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:39:53.8909976Z W0907 08:39:53.888000 5585 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:40:20.3230869Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 512, in forward 2025-09-07T08:40:20.3231934Z embedding_output = self.embeddings(input_ids, token_type_ids) 2025-09-07T08:40:20.3232563Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 240, in forward 2025-09-07T08:40:20.3233194Z token_type_embeddings = self.token_type_embeddings(token_type_ids) 2025-09-07T08:40:20.3233513Z 2025-09-07T08:40:20.3233516Z 2025-09-07T08:40:20.7419338Z pass 2025-09-07T08:40:24.1331949Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:40:24.1333659Z import pynvml # type: ignore[import] 2025-09-07T08:40:26.5586604Z 2025-09-07T08:40:27.8363767Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:40:27.8364310Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:40:27.8364801Z cuda train functorch_dp_cifar10 2025-09-07T08:40:44.9865909Z W0907 08:40:44.985000 5843 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:40:52.8854484Z pass 2025-09-07T08:40:56.3963762Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:40:56.3966409Z import pynvml # type: ignore[import] 2025-09-07T08:40:58.8558567Z 2025-09-07T08:40:59.6045197Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:40:59.6045605Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:40:59.6045924Z cuda train functorch_maml_omniglot 2025-09-07T08:41:07.5978808Z W0907 08:41:07.596000 6101 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:41:09.8565743Z pass 2025-09-07T08:41:12.4024471Z accuracy pass_rate=100.00% 2025-09-07T08:41:12.4035888Z calls_captured gmean=168.07x mean=234.200x 2025-09-07T08:41:12.4039299Z unique_graphs gmean=3.63x mean=4.000x 2025-09-07T08:41:12.4042906Z graph_breaks gmean=7.29x mean=7.400x 2025-09-07T08:41:12.4046233Z unique_graph_breaks gmean=5.19x mean=5.200x 2025-09-07T08:41:12.4049438Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:41:12.4053083Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:41:12.4056268Z cudagraph_skips gmean=0.00x mean=0.400x 2025-09-07T08:41:12.4057354Z compilation_latency mean=14.738 seconds 2025-09-07T08:41:13.2409575Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *dynamic-true* ]] 2025-09-07T08:41:13.2412318Z + python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --training --amp --backend inductor --dynamic-shapes --dynamic-batch-only --device cuda --total-partitions 9 --partition-id 2 --output /var/lib/jenkins/workspace/test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_accuracy.csv 2025-09-07T08:41:13.7735431Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:41:13.7736882Z import pynvml # type: ignore[import] 2025-09-07T08:41:17.6141097Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:41:17.6142583Z import pynvml # type: ignore[import] 2025-09-07T08:41:20.1121642Z 2025-09-07T08:41:20.3642044Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc' 2025-09-07T08:41:20.3642817Z what(): std::bad_alloc 2025-09-07T08:41:20.5869132Z Run failed with return code: -6 2025-09-07T08:41:20.5869421Z Output: None 2025-09-07T08:41:20.5869618Z Error: None 2025-09-07T08:41:21.1305772Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:41:21.1307185Z import pynvml # type: ignore[import] 2025-09-07T08:41:23.7788971Z 2025-09-07T08:41:31.0919215Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:41:31.0919576Z loading model: 0it [00:07, ?it/s] 2025-09-07T08:41:31.0919861Z cuda train dlrm 2025-09-07T08:41:33.4943754Z skipping cudagraphs due to sparsity not handled. Please file issue for sparse inference weights. Found from : 2025-09-07T08:41:33.4944767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-09-07T08:41:33.4945479Z pred = mod(*cloned_inputs) 2025-09-07T08:41:33.4945943Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-09-07T08:41:33.4946475Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-09-07T08:41:33.4947039Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward 2025-09-07T08:41:33.4947588Z ly = self.apply_emb(lS_o, lS_i, self.emb_l) 2025-09-07T08:41:33.4948066Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb 2025-09-07T08:41:33.4948599Z V = E(sparse_index_group_batch, sparse_offset_group_batch) 2025-09-07T08:41:33.4948849Z 2025-09-07T08:41:34.1261844Z pass 2025-09-07T08:41:37.3939572Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:41:37.3942266Z import pynvml # type: ignore[import] 2025-09-07T08:41:39.8538019Z 2025-09-07T08:41:39.9137085Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality. 2025-09-07T08:41:39.9138748Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade. 2025-09-07T08:41:39.9139690Z Users of this version of Gym should be able to simply replace 'import gym' with 'import gymnasium as gym' in the vast majority of cases. 2025-09-07T08:41:39.9141132Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information. 2025-09-07T08:41:42.8499398Z 2025-09-07T08:41:42.8499834Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:41:42.8500691Z cuda train drq 2025-09-07T08:41:45.7636962Z W0907 08:41:45.762000 6618 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:41:46.6348102Z pass 2025-09-07T08:41:49.3994580Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:41:49.3996313Z import pynvml # type: ignore[import] 2025-09-07T08:41:51.8650846Z 2025-09-07T08:41:54.0257148Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:41:54.0257520Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:41:54.0257834Z cuda train fastNLP_Bert 2025-09-07T08:41:58.6192216Z W0907 08:41:58.618000 6835 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T08:41:58.6193202Z W0907 08:41:58.618000 6835 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T08:41:58.6193985Z W0907 08:41:58.618000 6835 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: 2025-09-07T08:41:58.6194701Z W0907 08:41:58.618000 6835 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T08:41:58.6195587Z W0907 08:41:58.618000 6835 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. 2025-09-07T08:41:58.6196305Z W0907 08:41:58.618000 6835 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:41:58.6196969Z W0907 08:41:58.618000 6835 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: 2025-09-07T08:41:58.6198148Z W0907 08:41:58.618000 6835 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-09-07T08:41:58.6199289Z W0907 08:41:58.618000 6835 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] pred = mod(*cloned_inputs) 2025-09-07T08:41:58.6200459Z W0907 08:41:58.618000 6835 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/models/bert.py", line 265, in forward 2025-09-07T08:41:58.6201455Z W0907 08:41:58.618000 6835 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] sequence_output = self.bert(words) 2025-09-07T08:41:58.6202483Z W0907 08:41:58.618000 6835 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 137, in forward 2025-09-07T08:41:58.6203480Z W0907 08:41:58.618000 6835 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] outputs = self.model(words) 2025-09-07T08:41:58.6204482Z W0907 08:41:58.618000 6835 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward 2025-09-07T08:41:58.6206756Z W0907 08:41:58.618000 6835 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item() # 表示word piece的长度(包括padding) 2025-09-07T08:41:58.6210101Z W0907 08:41:58.618000 6835 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:41:58.6210805Z W0907 08:41:58.618000 6835 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:42:02.3936997Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 512, in forward 2025-09-07T08:42:02.3938047Z embedding_output = self.embeddings(input_ids, token_type_ids) 2025-09-07T08:42:02.3938717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 240, in forward 2025-09-07T08:42:02.3939458Z token_type_embeddings = self.token_type_embeddings(token_type_ids) 2025-09-07T08:42:02.3939707Z 2025-09-07T08:42:02.3939711Z 2025-09-07T08:42:03.6123409Z pass 2025-09-07T08:42:06.3771759Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:42:06.3772809Z import pynvml # type: ignore[import] 2025-09-07T08:42:08.8805229Z 2025-09-07T08:42:10.0849940Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:42:10.0850827Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:42:10.0851145Z cuda train functorch_dp_cifar10 2025-09-07T08:42:15.3794241Z W0907 08:42:15.378000 7171 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:42:16.7769262Z pass 2025-09-07T08:42:19.5966094Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:42:19.5967880Z import pynvml # type: ignore[import] 2025-09-07T08:42:22.0874765Z 2025-09-07T08:42:22.8325463Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:42:22.8325959Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:42:22.8326396Z cuda train functorch_maml_omniglot 2025-09-07T08:42:25.5371815Z W0907 08:42:25.536000 7439 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:42:26.0734282Z pass 2025-09-07T08:42:28.6826155Z accuracy pass_rate=100.00% 2025-09-07T08:42:28.6841714Z calls_captured gmean=168.07x mean=234.200x 2025-09-07T08:42:28.6846161Z unique_graphs gmean=3.63x mean=4.000x 2025-09-07T08:42:28.6849734Z graph_breaks gmean=7.29x mean=7.400x 2025-09-07T08:42:28.6853946Z unique_graph_breaks gmean=5.19x mean=5.200x 2025-09-07T08:42:28.6857533Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:42:28.6861444Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:42:28.6865043Z cudagraph_skips gmean=0.00x mean=0.400x 2025-09-07T08:42:28.6866274Z compilation_latency mean=4.711 seconds 2025-09-07T08:42:29.9148456Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *cppwrapper-true* ]] 2025-09-07T08:42:29.9149769Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T08:42:30.4468798Z + python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 9 --partition-id 2 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_accuracy.csv 2025-09-07T08:42:30.4473595Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:42:30.4475400Z import pynvml # type: ignore[import] 2025-09-07T08:42:34.6433274Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:42:34.6434444Z import pynvml # type: ignore[import] 2025-09-07T08:42:37.1196044Z 2025-09-07T08:42:37.3715074Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc' 2025-09-07T08:42:37.3715559Z what(): std::bad_alloc 2025-09-07T08:42:37.5873633Z Run failed with return code: -6 2025-09-07T08:42:37.5873920Z Output: None 2025-09-07T08:42:37.5874117Z Error: None 2025-09-07T08:42:38.1321064Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:42:38.1322588Z import pynvml # type: ignore[import] 2025-09-07T08:42:40.6304260Z 2025-09-07T08:42:47.8206398Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:42:47.8206772Z loading model: 0it [00:07, ?it/s] 2025-09-07T08:42:47.8207091Z cuda train dlrm 2025-09-07T08:43:00.3177593Z W0907 08:43:00.315000 7698 site-packages/torch/_inductor/ir.py:7717] [2/0_1] aten._embedding_bag_backward.default is missing a c-shim implementation, using proxy executor as fallback 2025-09-07T08:43:00.3185092Z W0907 08:43:00.317000 7698 site-packages/torch/_inductor/ir.py:7717] [2/0_1] aten._embedding_bag_backward.default is missing a c-shim implementation, using proxy executor as fallback 2025-09-07T08:43:00.3198594Z W0907 08:43:00.319000 7698 site-packages/torch/_inductor/ir.py:7717] [2/0_1] aten._embedding_bag_backward.default is missing a c-shim implementation, using proxy executor as fallback 2025-09-07T08:43:00.3211553Z W0907 08:43:00.320000 7698 site-packages/torch/_inductor/ir.py:7717] [2/0_1] aten._embedding_bag_backward.default is missing a c-shim implementation, using proxy executor as fallback 2025-09-07T08:43:00.3224659Z W0907 08:43:00.322000 7698 site-packages/torch/_inductor/ir.py:7717] [2/0_1] aten._embedding_bag_backward.default is missing a c-shim implementation, using proxy executor as fallback 2025-09-07T08:43:00.3238218Z W0907 08:43:00.323000 7698 site-packages/torch/_inductor/ir.py:7717] [2/0_1] aten._embedding_bag_backward.default is missing a c-shim implementation, using proxy executor as fallback 2025-09-07T08:43:00.3250928Z W0907 08:43:00.324000 7698 site-packages/torch/_inductor/ir.py:7717] [2/0_1] aten._embedding_bag_backward.default is missing a c-shim implementation, using proxy executor as fallback 2025-09-07T08:43:00.3263851Z W0907 08:43:00.326000 7698 site-packages/torch/_inductor/ir.py:7717] [2/0_1] aten._embedding_bag_backward.default is missing a c-shim implementation, using proxy executor as fallback 2025-09-07T08:43:02.9216742Z pass 2025-09-07T08:43:05.6666228Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:43:05.6667428Z import pynvml # type: ignore[import] 2025-09-07T08:43:08.1876630Z 2025-09-07T08:43:08.2497675Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality. 2025-09-07T08:43:08.2499110Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade. 2025-09-07T08:43:08.2501821Z Users of this version of Gym should be able to simply replace 'import gym' with 'import gymnasium as gym' in the vast majority of cases. 2025-09-07T08:43:08.2503383Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information. 2025-09-07T08:43:11.7636226Z 2025-09-07T08:43:11.7636614Z loading model: 0it [00:03, ?it/s] 2025-09-07T08:43:11.7636989Z cuda train drq 2025-09-07T08:43:28.8934956Z W0907 08:43:28.892000 8443 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:43:34.4956916Z pass 2025-09-07T08:43:37.4885800Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:43:37.4887551Z import pynvml # type: ignore[import] 2025-09-07T08:43:40.0099542Z 2025-09-07T08:43:41.7674769Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:43:41.7675109Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:43:41.7675396Z cuda train fastNLP_Bert 2025-09-07T08:43:42.5978368Z W0907 08:43:42.596000 9376 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T08:43:42.5979334Z W0907 08:43:42.596000 9376 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T08:43:42.5980072Z W0907 08:43:42.596000 9376 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: 2025-09-07T08:43:42.5981183Z W0907 08:43:42.596000 9376 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T08:43:42.5982057Z W0907 08:43:42.596000 9376 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. 2025-09-07T08:43:42.5982849Z W0907 08:43:42.596000 9376 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:43:42.5983502Z W0907 08:43:42.596000 9376 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: 2025-09-07T08:43:42.5984634Z W0907 08:43:42.596000 9376 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-09-07T08:43:42.5985764Z W0907 08:43:42.596000 9376 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] pred = mod(*cloned_inputs) 2025-09-07T08:43:42.5986781Z W0907 08:43:42.596000 9376 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/models/bert.py", line 265, in forward 2025-09-07T08:43:42.5987898Z W0907 08:43:42.596000 9376 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] sequence_output = self.bert(words) 2025-09-07T08:43:42.5988983Z W0907 08:43:42.596000 9376 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 137, in forward 2025-09-07T08:43:42.5990033Z W0907 08:43:42.596000 9376 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] outputs = self.model(words) 2025-09-07T08:43:42.5991199Z W0907 08:43:42.596000 9376 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward 2025-09-07T08:43:42.5993359Z W0907 08:43:42.596000 9376 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item() # 表示word piece的长度(包括padding) 2025-09-07T08:43:42.5994250Z W0907 08:43:42.596000 9376 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:43:42.5995033Z W0907 08:43:42.596000 9376 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:44:44.0711805Z pass 2025-09-07T08:44:47.8285503Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:44:47.8287327Z import pynvml # type: ignore[import] 2025-09-07T08:44:50.4015861Z 2025-09-07T08:44:51.6241311Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:44:51.6241713Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:44:51.6242018Z cuda train functorch_dp_cifar10 2025-09-07T08:45:25.2436797Z W0907 08:45:25.242000 10412 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:45:37.0163160Z pass 2025-09-07T08:45:40.7838324Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:45:40.7839596Z import pynvml # type: ignore[import] 2025-09-07T08:45:43.3557321Z 2025-09-07T08:45:44.1094140Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:45:44.1094518Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:45:44.1094834Z cuda train functorch_maml_omniglot 2025-09-07T08:45:58.8391023Z W0907 08:45:58.838000 11768 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:46:04.5169369Z pass 2025-09-07T08:46:06.9114772Z accuracy pass_rate=100.00% 2025-09-07T08:46:06.9119413Z calls_captured gmean=168.07x mean=234.200x 2025-09-07T08:46:06.9123195Z unique_graphs gmean=3.63x mean=4.000x 2025-09-07T08:46:06.9135756Z graph_breaks gmean=7.29x mean=7.400x 2025-09-07T08:46:06.9139222Z unique_graph_breaks gmean=5.19x mean=5.200x 2025-09-07T08:46:06.9143042Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:46:06.9146362Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:46:06.9149564Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T08:46:06.9151080Z compilation_latency mean=32.649 seconds 2025-09-07T08:46:07.7699842Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freezing_cudagraphs-true* ]] 2025-09-07T08:46:07.7701690Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T08:46:07.7703084Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freeze_autotune_cudagraphs-true* ]] 2025-09-07T08:46:07.7704340Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T08:46:07.7705521Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *aotinductor-true* ]] 2025-09-07T08:46:07.7706695Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T08:46:07.7707857Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *maxautotune-true* ]] 2025-09-07T08:46:07.8271269Z + TORCHINDUCTOR_MAX_AUTOTUNE=1 2025-09-07T08:46:07.8272774Z + python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 9 --partition-id 2 --output /var/lib/jenkins/workspace/test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_accuracy.csv 2025-09-07T08:46:08.2673093Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:46:08.2675184Z import pynvml # type: ignore[import] 2025-09-07T08:46:12.2115417Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:46:12.2116691Z import pynvml # type: ignore[import] 2025-09-07T08:46:14.7265238Z 2025-09-07T08:46:14.9789931Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc' 2025-09-07T08:46:14.9790918Z what(): std::bad_alloc 2025-09-07T08:46:15.1902535Z Run failed with return code: -6 2025-09-07T08:46:15.1902981Z Output: None 2025-09-07T08:46:15.1903196Z Error: None 2025-09-07T08:46:15.7301405Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:46:15.7302499Z import pynvml # type: ignore[import] 2025-09-07T08:46:18.4140121Z 2025-09-07T08:46:25.7105310Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:46:25.7105696Z loading model: 0it [00:07, ?it/s] 2025-09-07T08:46:25.7105994Z cuda train dlrm 2025-09-07T08:46:33.7319547Z Autotune Choices Stats: 2025-09-07T08:46:33.7321246Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_44", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.006304000038653612, "best_triton_pos": 0} 2025-09-07T08:46:33.7586343Z AUTOTUNE mm(4x100, 100x1024) 2025-09-07T08:46:33.7586590Z strides: [100, 1], [1, 100] 2025-09-07T08:46:33.7586830Z dtypes: torch.float16, torch.float16 2025-09-07T08:46:33.7587418Z triton_mm_44 0.0063 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:46:33.7588248Z triton_mm_43 0.0065 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:46:33.7589065Z triton_mm_42 0.0065 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:33.7589855Z triton_mm_54 0.0065 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:46:33.7590821Z triton_mm_48 0.0066 ms 95.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:33.7591616Z triton_mm_41 0.0066 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:46:33.7592393Z triton_mm_47 0.0067 ms 94.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:33.7593576Z triton_mm_53 0.0067 ms 94.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:33.7594577Z triton_mm_56 0.0068 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:46:33.7595370Z triton_mm_50 0.0069 ms 91.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:46:33.7596058Z SingleProcess AUTOTUNE benchmarking takes 0.3466 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T08:46:34.6499446Z Autotune Choices Stats: 2025-09-07T08:46:34.6500881Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_61", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.008448000065982342, "best_triton_pos": 0} 2025-09-07T08:46:34.8052324Z AUTOTUNE mm(4x1024, 1024x1024) 2025-09-07T08:46:34.8052804Z strides: [1024, 1], [1, 1024] 2025-09-07T08:46:34.8053217Z dtypes: torch.float16, torch.float16 2025-09-07T08:46:34.8054240Z triton_mm_61 0.0084 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:46:34.8055744Z triton_mm_65 0.0088 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:34.8056665Z mm 0.0089 ms 94.6% 2025-09-07T08:46:34.8057628Z triton_mm_69 0.0100 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:46:34.8058589Z triton_mm_73 0.0106 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:46:34.8059434Z triton_mm_60 0.0115 ms 73.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:46:34.8060519Z triton_mm_59 0.0119 ms 71.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:34.8061357Z triton_mm_64 0.0119 ms 70.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:34.8062196Z triton_mm_58 0.0124 ms 67.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:46:34.8063148Z triton_mm_68 0.0129 ms 65.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:34.8063925Z SingleProcess AUTOTUNE benchmarking takes 0.5650 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T08:46:35.0136039Z Autotune Choices Stats: 2025-09-07T08:46:35.0136955Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_4", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.006976000033318996, "best_triton_pos": 0} 2025-09-07T08:46:35.1626204Z AUTOTUNE mm(4x512, 512x512) 2025-09-07T08:46:35.1626503Z strides: [512, 1], [1, 512] 2025-09-07T08:46:35.1627287Z dtypes: torch.float16, torch.float16 2025-09-07T08:46:35.1627952Z triton_mm_4 0.0070 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:46:35.1629156Z triton_mm_8 0.0074 ms 94.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:35.1629784Z mm 0.0075 ms 93.6% 2025-09-07T08:46:35.1630749Z triton_mm_12 0.0079 ms 87.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:46:35.1631729Z triton_mm_16 0.0083 ms 84.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:46:35.1632686Z triton_mm_3 0.0083 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:46:35.1633638Z triton_mm_2 0.0086 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:35.1634585Z triton_mm_7 0.0086 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:35.1635531Z triton_mm_1 0.0087 ms 79.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:46:35.1636484Z triton_mm_11 0.0092 ms 75.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:35.1637324Z SingleProcess AUTOTUNE benchmarking takes 0.3225 seconds and 0.0009 seconds precompiling for 18 choices 2025-09-07T08:46:36.1831783Z Autotune Choices Stats: 2025-09-07T08:46:36.1832853Z {"num_choices": 15, "num_triton_choices": 11, "best_kernel": "triton_mm_100", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1", "best_time": 0.007327999919652939, "best_triton_pos": 0} 2025-09-07T08:46:36.2113212Z AUTOTUNE mm(4x1024, 1024x1) 2025-09-07T08:46:36.2113460Z strides: [1024, 1], [1, 1024] 2025-09-07T08:46:36.2113713Z dtypes: torch.float16, torch.float16 2025-09-07T08:46:36.2114378Z triton_mm_100 0.0073 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T08:46:36.2115380Z triton_mm_101 0.0076 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T08:46:36.2116373Z triton_mm_94 0.0078 ms 94.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T08:46:36.2117022Z decompose_k_mm_4_split_1 0.0086 ms 84.8% k_split=4 2025-09-07T08:46:36.2117368Z decompose_k_mm_8_split_2 0.0088 ms 83.0% k_split=8 2025-09-07T08:46:36.2117658Z mm 0.0090 ms 81.5% 2025-09-07T08:46:36.2118209Z triton_mm_93 0.0096 ms 76.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T08:46:36.2119097Z triton_mm_97 0.0097 ms 75.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T08:46:36.2119704Z decompose_k_mm_2_split_0 0.0099 ms 74.4% k_split=2 2025-09-07T08:46:36.2120618Z triton_mm_99 0.0103 ms 71.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T08:46:36.2121829Z SingleProcess AUTOTUNE benchmarking takes 0.6069 seconds and 0.0002 seconds precompiling for 15 choices 2025-09-07T08:46:36.9099115Z Autotune Choices Stats: 2025-09-07T08:46:36.9100852Z {"num_choices": 14, "num_triton_choices": 13, "best_kernel": "triton_mm_21", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.00687999976798892, "best_triton_pos": 0} 2025-09-07T08:46:36.9471278Z AUTOTUNE mm(4x512, 512x64) 2025-09-07T08:46:36.9471534Z strides: [512, 1], [1, 512] 2025-09-07T08:46:36.9471773Z dtypes: torch.float16, torch.float16 2025-09-07T08:46:36.9472422Z triton_mm_21 0.0069 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:46:36.9473443Z triton_mm_25 0.0071 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:36.9474424Z triton_mm_28 0.0072 ms 95.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:46:36.9475384Z triton_mm_29 0.0073 ms 94.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:36.9475987Z mm 0.0075 ms 91.5% 2025-09-07T08:46:36.9476550Z triton_mm_20 0.0082 ms 84.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:46:36.9477506Z triton_mm_24 0.0084 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:36.9478481Z triton_mm_19 0.0085 ms 80.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:36.9479397Z triton_mm_18 0.0087 ms 78.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:46:36.9480511Z triton_mm_27 0.0088 ms 78.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:46:36.9481293Z SingleProcess AUTOTUNE benchmarking takes 0.2115 seconds and 0.0002 seconds precompiling for 14 choices 2025-09-07T08:46:37.0828378Z Autotune Choices Stats: 2025-09-07T08:46:37.0829372Z {"num_choices": 11, "num_triton_choices": 10, "best_kernel": "triton_bmm_33", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1", "best_time": 0.006207999773323536, "best_triton_pos": 0} 2025-09-07T08:46:37.0856733Z AUTOTUNE bmm(4x9x64, 4x64x9) 2025-09-07T08:46:37.0857111Z strides: [576, 64, 1], [576, 1, 64] 2025-09-07T08:46:37.0857403Z dtypes: torch.float16, torch.float16 2025-09-07T08:46:37.0858063Z triton_bmm_33 0.0062 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T08:46:37.0859073Z triton_bmm_36 0.0063 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T08:46:37.0860048Z triton_bmm_31 0.0063 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T08:46:37.0861509Z triton_bmm_39 0.0063 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T08:46:37.0862654Z triton_bmm_38 0.0068 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T08:46:37.0863743Z triton_bmm_37 0.0068 ms 91.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T08:46:37.0864698Z triton_bmm_32 0.0069 ms 90.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T08:46:37.0865305Z bmm 0.0072 ms 86.6% 2025-09-07T08:46:37.0865867Z triton_bmm_35 0.0072 ms 86.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T08:46:37.0866816Z triton_bmm_30 0.0072 ms 85.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-07T08:46:37.0867679Z SingleProcess AUTOTUNE benchmarking takes 0.1381 seconds and 0.0002 seconds precompiling for 11 choices 2025-09-07T08:46:42.8448152Z Autotune Choices Stats: 2025-09-07T08:46:42.8449432Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_153", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.006144000217318535, "best_triton_pos": 0} 2025-09-07T08:46:42.8644556Z AUTOTUNE mm(1024x4, 4x1024) 2025-09-07T08:46:42.8644866Z strides: [1, 1024], [1024, 1] 2025-09-07T08:46:42.8645152Z dtypes: torch.float16, torch.float16 2025-09-07T08:46:42.8645927Z triton_mm_153 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:46:42.8647175Z triton_mm_146 0.0062 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:46:42.8648251Z triton_mm_152 0.0062 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:46:42.8649316Z triton_mm_154 0.0062 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:42.8650591Z triton_mm_148 0.0062 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:46:42.8651659Z triton_mm_149 0.0062 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:46:42.8652716Z triton_mm_150 0.0062 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:42.8653773Z triton_mm_151 0.0062 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:42.8654878Z triton_mm_155 0.0062 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:46:42.8655948Z triton_mm_145 0.0063 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:46:42.8657271Z SingleProcess AUTOTUNE benchmarking takes 0.2820 seconds and 0.0003 seconds precompiling for 17 choices 2025-09-07T08:46:43.5260055Z Autotune Choices Stats: 2025-09-07T08:46:43.5264867Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_277", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8", "best_time": 0.005791999865323305, "best_triton_pos": 0} 2025-09-07T08:46:43.5320049Z AUTOTUNE mm(512x4, 4x512) 2025-09-07T08:46:43.5320760Z strides: [1, 512], [512, 1] 2025-09-07T08:46:43.5321062Z dtypes: torch.float16, torch.float16 2025-09-07T08:46:43.5321805Z triton_mm_277 0.0058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:46:43.5322953Z triton_mm_274 0.0058 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:46:43.5324100Z triton_mm_272 0.0059 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:46:43.5325210Z triton_mm_273 0.0059 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:46:43.5326295Z triton_mm_275 0.0059 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:43.5327366Z triton_mm_276 0.0059 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:46:43.5328432Z triton_mm_278 0.0059 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:43.5329513Z triton_mm_271 0.0059 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T08:46:43.5330621Z triton_mm_282 0.0060 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:43.5331561Z triton_mm_279 0.0060 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:43.5332382Z SingleProcess AUTOTUNE benchmarking takes 0.1575 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T08:46:44.1142457Z Autotune Choices Stats: 2025-09-07T08:46:44.1144140Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_210", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.005824000108987093, "best_triton_pos": 0} 2025-09-07T08:46:44.1216514Z AUTOTUNE mm(1024x4, 4x100) 2025-09-07T08:46:44.1216967Z strides: [1, 1024], [100, 1] 2025-09-07T08:46:44.1217317Z dtypes: torch.float16, torch.float16 2025-09-07T08:46:44.1218161Z triton_mm_210 0.0058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:46:44.1219480Z triton_mm_213 0.0058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:44.1221228Z triton_mm_214 0.0058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:46:44.1223152Z triton_mm_216 0.0058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:44.1224902Z triton_mm_212 0.0059 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:46:44.1226368Z triton_mm_211 0.0059 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:46:44.1227774Z triton_mm_215 0.0060 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:46:44.1229202Z triton_mm_218 0.0060 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:46:44.1230942Z triton_mm_217 0.0060 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:44.1232424Z triton_mm_209 0.0061 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T08:46:44.1233664Z SingleProcess AUTOTUNE benchmarking takes 0.1653 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T08:46:44.4569321Z Autotune Choices Stats: 2025-09-07T08:46:44.4571177Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_mm_259", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.005727999843657017, "best_triton_pos": 0} 2025-09-07T08:46:44.4756035Z AUTOTUNE mm(64x4, 4x512) 2025-09-07T08:46:44.4756440Z strides: [1, 64], [512, 1] 2025-09-07T08:46:44.4756826Z dtypes: torch.float16, torch.float16 2025-09-07T08:46:44.4757846Z triton_mm_259 0.0057 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:46:44.4759367Z triton_mm_256 0.0058 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T08:46:44.4761075Z triton_mm_257 0.0058 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:46:44.4762547Z triton_mm_258 0.0058 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:46:44.4764028Z triton_mm_262 0.0058 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:46:44.4765500Z triton_mm_260 0.0059 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:44.4766972Z triton_mm_261 0.0059 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:46:44.4768455Z triton_mm_263 0.0059 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:44.4769921Z triton_mm_267 0.0059 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:44.4772193Z triton_mm_268 0.0059 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:46:44.4773802Z SingleProcess AUTOTUNE benchmarking takes 0.1611 seconds and 0.0002 seconds precompiling for 16 choices 2025-09-07T08:46:45.0765955Z Autotune Choices Stats: 2025-09-07T08:46:45.0767089Z {"num_choices": 13, "num_triton_choices": 12, "best_kernel": "triton_mm_102", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2", "best_time": 0.005663999821990728, "best_triton_pos": 0} 2025-09-07T08:46:45.0882801Z AUTOTUNE mm(4x1, 1x1024) 2025-09-07T08:46:45.0883068Z strides: [1, 1], [1024, 1] 2025-09-07T08:46:45.0883299Z dtypes: torch.float16, torch.float16 2025-09-07T08:46:45.0883949Z triton_mm_102 0.0057 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T08:46:45.0884898Z triton_mm_104 0.0057 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:45.0885813Z triton_mm_106 0.0057 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:46:45.0886724Z triton_mm_110 0.0057 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:46:45.0887630Z triton_mm_111 0.0057 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:46:45.0888528Z triton_mm_107 0.0057 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:45.0889438Z triton_mm_109 0.0057 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:46:45.0890654Z triton_mm_112 0.0057 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T08:46:45.0891572Z triton_mm_113 0.0057 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:46:45.0892475Z triton_mm_103 0.0058 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:46:45.0893266Z SingleProcess AUTOTUNE benchmarking takes 0.1332 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T08:46:45.9212600Z Autotune Choices Stats: 2025-09-07T08:46:45.9213728Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_130", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.008448000065982342, "best_triton_pos": 0} 2025-09-07T08:46:45.9511543Z AUTOTUNE mm(4x1024, 1024x1024) 2025-09-07T08:46:45.9511823Z strides: [1024, 1], [1024, 1] 2025-09-07T08:46:45.9512079Z dtypes: torch.float16, torch.float16 2025-09-07T08:46:45.9512742Z triton_mm_130 0.0084 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:46:45.9513371Z mm 0.0088 ms 96.4% 2025-09-07T08:46:45.9514367Z triton_mm_134 0.0088 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:45.9515570Z triton_mm_142 0.0105 ms 80.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:46:45.9516558Z triton_mm_129 0.0111 ms 76.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:46:45.9517533Z triton_mm_138 0.0111 ms 75.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:46:45.9518512Z triton_mm_128 0.0113 ms 74.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:45.9519488Z triton_mm_133 0.0117 ms 72.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:45.9520818Z triton_mm_137 0.0125 ms 67.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:45.9521767Z triton_mm_140 0.0126 ms 67.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:46:45.9522554Z SingleProcess AUTOTUNE benchmarking takes 0.3695 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T08:46:46.0644166Z Autotune Choices Stats: 2025-09-07T08:46:46.0645175Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_bmm_234", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.005632000043988228, "best_triton_pos": 0} 2025-09-07T08:46:46.1437176Z AUTOTUNE bmm(4x9x9, 4x9x64) 2025-09-07T08:46:46.1437442Z strides: [81, 9, 1], [576, 64, 1] 2025-09-07T08:46:46.1437701Z dtypes: torch.float16, torch.float16 2025-09-07T08:46:46.1438371Z triton_bmm_234 0.0056 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:46.1439368Z triton_bmm_238 0.0056 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:46:46.1441203Z triton_bmm_237 0.0057 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:46.1442656Z triton_bmm_232 0.0057 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T08:46:46.1443778Z triton_bmm_233 0.0057 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:46:46.1444848Z triton_bmm_235 0.0057 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:46:46.1445898Z triton_bmm_236 0.0057 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:46:46.1446581Z bmm 0.0067 ms 83.8% 2025-09-07T08:46:46.1447067Z SingleProcess AUTOTUNE benchmarking takes 0.1600 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T08:46:46.8914041Z Autotune Choices Stats: 2025-09-07T08:46:46.8915582Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_243", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.0058559998869895935, "best_triton_pos": 0} 2025-09-07T08:46:46.9004343Z AUTOTUNE mm(4x64, 64x512) 2025-09-07T08:46:46.9004627Z strides: [64, 1], [512, 1] 2025-09-07T08:46:46.9004887Z dtypes: torch.float16, torch.float16 2025-09-07T08:46:46.9005564Z triton_mm_243 0.0059 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:46:46.9006565Z triton_mm_246 0.0059 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:46.9007534Z triton_mm_240 0.0059 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:46:46.9008495Z triton_mm_247 0.0060 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:46.9009451Z triton_mm_241 0.0060 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:46.9011011Z triton_mm_252 0.0060 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:46.9011901Z triton_mm_242 0.0060 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:46:46.9012802Z triton_mm_253 0.0060 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:46:46.9013703Z triton_mm_255 0.0060 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:46:46.9014608Z triton_mm_249 0.0062 ms 94.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:46:46.9015397Z SingleProcess AUTOTUNE benchmarking takes 0.1738 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T08:46:47.2437210Z Autotune Choices Stats: 2025-09-07T08:46:47.2438268Z {"num_choices": 13, "num_triton_choices": 12, "best_kernel": "triton_mm_122", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.00559999980032444, "best_triton_pos": 0} 2025-09-07T08:46:47.2761225Z AUTOTUNE mm(1x4, 4x1024) 2025-09-07T08:46:47.2761540Z strides: [1, 1], [1024, 1] 2025-09-07T08:46:47.2761849Z dtypes: torch.float16, torch.float16 2025-09-07T08:46:47.2762570Z triton_mm_122 0.0056 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:46:47.2763625Z triton_mm_123 0.0056 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:46:47.2764597Z triton_mm_115 0.0057 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:46:47.2765559Z triton_mm_117 0.0057 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:46:47.2766927Z triton_mm_118 0.0057 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:46:47.2768144Z triton_mm_119 0.0057 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:47.2769154Z triton_mm_120 0.0057 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:47.2770141Z triton_mm_121 0.0057 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:46:47.2771417Z triton_mm_125 0.0057 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:46:47.2772246Z triton_mm_114 0.0057 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T08:46:47.2772952Z SingleProcess AUTOTUNE benchmarking takes 0.1528 seconds and 0.0004 seconds precompiling for 13 choices 2025-09-07T08:46:48.0456347Z Autotune Choices Stats: 2025-09-07T08:46:48.0457470Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_196", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.008352000266313553, "best_triton_pos": 0} 2025-09-07T08:46:48.0539291Z AUTOTUNE mm(4x1024, 1024x100) 2025-09-07T08:46:48.0539734Z strides: [1024, 1], [100, 1] 2025-09-07T08:46:48.0540130Z dtypes: torch.float16, torch.float16 2025-09-07T08:46:48.0541419Z triton_mm_196 0.0084 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:46:48.0542528Z triton_mm_195 0.0101 ms 82.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:46:48.0543266Z mm 0.0102 ms 82.1% 2025-09-07T08:46:48.0543869Z triton_mm_200 0.0102 ms 82.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:48.0544907Z triton_mm_194 0.0108 ms 77.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:48.0545915Z triton_mm_199 0.0113 ms 74.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:48.0546941Z triton_mm_193 0.0121 ms 69.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:46:48.0547966Z triton_mm_204 0.0122 ms 68.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:46:48.0548985Z triton_mm_206 0.0122 ms 68.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:46:48.0549994Z triton_mm_208 0.0124 ms 67.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:46:48.0551227Z SingleProcess AUTOTUNE benchmarking takes 0.4292 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T08:46:48.1264450Z Autotune Choices Stats: 2025-09-07T08:46:48.1266484Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_bmm_227", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.005663999821990728, "best_triton_pos": 0} 2025-09-07T08:46:48.1936000Z AUTOTUNE bmm(4x64x9, 4x9x9) 2025-09-07T08:46:48.1936402Z strides: [576, 1, 64], [81, 9, 1] 2025-09-07T08:46:48.1936806Z dtypes: torch.float16, torch.float16 2025-09-07T08:46:48.1937814Z triton_bmm_227 0.0057 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:46:48.1939323Z triton_bmm_230 0.0057 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:46:48.1941352Z triton_bmm_226 0.0058 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:46:48.1942352Z triton_bmm_229 0.0058 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:46:48.1943304Z triton_bmm_225 0.0059 ms 96.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T08:46:48.1944170Z triton_bmm_231 0.0059 ms 96.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:46:48.1945035Z triton_bmm_228 0.0059 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:46:48.1945584Z bmm 0.0069 ms 81.6% 2025-09-07T08:46:48.1945968Z SingleProcess AUTOTUNE benchmarking takes 0.1392 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T08:46:48.7507877Z skipping cudagraphs due to sparsity not handled. Please file issue for sparse inference weights. Found from : 2025-09-07T08:46:48.7508831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-09-07T08:46:48.7509451Z pred = mod(*cloned_inputs) 2025-09-07T08:46:48.7509853Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-09-07T08:46:48.7510614Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-09-07T08:46:48.7511143Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward 2025-09-07T08:46:48.7511657Z ly = self.apply_emb(lS_o, lS_i, self.emb_l) 2025-09-07T08:46:48.7512144Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb 2025-09-07T08:46:48.7512657Z V = E(sparse_index_group_batch, sparse_offset_group_batch) 2025-09-07T08:46:48.7512898Z 2025-09-07T08:46:49.1655723Z pass 2025-09-07T08:46:52.1852304Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:46:52.1853600Z import pynvml # type: ignore[import] 2025-09-07T08:46:55.2006904Z 2025-09-07T08:46:55.2615132Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality. 2025-09-07T08:46:55.2616221Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade. 2025-09-07T08:46:55.3503889Z Users of this version of Gym should be able to simply replace 'import gym' with 'import gymnasium as gym' in the vast majority of cases. 2025-09-07T08:46:55.3505069Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information. 2025-09-07T08:46:58.8421477Z 2025-09-07T08:46:58.8423075Z loading model: 0it [00:03, ?it/s] 2025-09-07T08:46:58.8423580Z cuda train drq 2025-09-07T08:47:06.5152596Z Autotune Choices Stats: 2025-09-07T08:47:06.5153792Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_5", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.00902399979531765, "best_triton_pos": 0} 2025-09-07T08:47:06.5664404Z AUTOTUNE convolution(1x27x84x84, 32x27x3x3) 2025-09-07T08:47:06.5664817Z strides: [190512, 7056, 84, 1], [243, 9, 3, 1] 2025-09-07T08:47:06.5665161Z dtypes: torch.float16, torch.float16 2025-09-07T08:47:06.5665998Z triton_convolution2d_5 0.0090 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:47:06.5667275Z triton_convolution2d_3 0.0113 ms 80.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:47:06.5668451Z triton_convolution2d_0 0.0127 ms 70.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:47:06.5669611Z triton_convolution2d_6 0.0134 ms 67.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:47:06.5671086Z triton_convolution2d_1 0.0170 ms 53.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:47:06.5672246Z triton_convolution2d_4 0.0170 ms 53.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:47:06.5673397Z triton_convolution2d_2 0.0356 ms 25.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T08:47:06.5674101Z convolution 0.0810 ms 11.1% 2025-09-07T08:47:06.5674539Z SingleProcess AUTOTUNE benchmarking takes 0.1490 seconds and 0.0016 seconds precompiling for 8 choices 2025-09-07T08:47:06.9405729Z Autotune Choices Stats: 2025-09-07T08:47:06.9407031Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_12", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.009696000255644321, "best_triton_pos": 0} 2025-09-07T08:47:07.0398992Z AUTOTUNE convolution(1x32x41x41, 32x32x3x3) 2025-09-07T08:47:07.0399414Z strides: [53792, 1681, 41, 1], [288, 9, 3, 1] 2025-09-07T08:47:07.0399678Z dtypes: torch.float16, torch.float16 2025-09-07T08:47:07.0400652Z triton_convolution2d_12 0.0097 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:47:07.0401699Z triton_convolution2d_11 0.0112 ms 86.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:47:07.0403142Z triton_convolution2d_10 0.0119 ms 81.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:47:07.0404382Z triton_convolution2d_13 0.0131 ms 74.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:47:07.0405403Z triton_convolution2d_7 0.0140 ms 69.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:47:07.0406425Z triton_convolution2d_8 0.0178 ms 54.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:47:07.0407059Z convolution 0.0182 ms 53.3% 2025-09-07T08:47:07.0407673Z triton_convolution2d_9 0.0319 ms 30.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T08:47:07.0408505Z SingleProcess AUTOTUNE benchmarking takes 0.1747 seconds and 0.0005 seconds precompiling for 8 choices 2025-09-07T08:47:07.4118813Z Autotune Choices Stats: 2025-09-07T08:47:07.4119899Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_19", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.009119999594986439, "best_triton_pos": 0} 2025-09-07T08:47:07.4410168Z AUTOTUNE convolution(1x32x39x39, 32x32x3x3) 2025-09-07T08:47:07.4410962Z strides: [48672, 1521, 39, 1], [288, 9, 3, 1] 2025-09-07T08:47:07.4411292Z dtypes: torch.float16, torch.float16 2025-09-07T08:47:07.4412109Z triton_convolution2d_19 0.0091 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:47:07.4413417Z triton_convolution2d_18 0.0109 ms 83.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:47:07.4414709Z triton_convolution2d_17 0.0117 ms 77.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:47:07.4415961Z triton_convolution2d_20 0.0129 ms 70.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:47:07.4417282Z triton_convolution2d_14 0.0135 ms 67.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:47:07.4418441Z triton_convolution2d_15 0.0178 ms 51.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:47:07.4419150Z convolution 0.0182 ms 50.1% 2025-09-07T08:47:07.4419833Z triton_convolution2d_16 0.0312 ms 29.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T08:47:07.4420924Z SingleProcess AUTOTUNE benchmarking takes 0.1265 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T08:47:07.8164471Z Autotune Choices Stats: 2025-09-07T08:47:07.8166819Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_26", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.009247999638319016, "best_triton_pos": 0} 2025-09-07T08:47:07.8527494Z AUTOTUNE convolution(1x32x37x37, 32x32x3x3) 2025-09-07T08:47:07.8527869Z strides: [43808, 1369, 37, 1], [288, 9, 3, 1] 2025-09-07T08:47:07.8528176Z dtypes: torch.float16, torch.float16 2025-09-07T08:47:07.8528993Z triton_convolution2d_26 0.0092 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:47:07.8530614Z triton_convolution2d_25 0.0112 ms 82.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:47:07.8531888Z triton_convolution2d_24 0.0120 ms 77.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:47:07.8533132Z triton_convolution2d_27 0.0131 ms 70.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:47:07.8534357Z triton_convolution2d_21 0.0138 ms 67.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:47:07.8535572Z triton_convolution2d_22 0.0180 ms 51.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:47:07.8536359Z convolution 0.0186 ms 49.8% 2025-09-07T08:47:07.8537165Z triton_convolution2d_23 0.0302 ms 30.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T08:47:07.8538086Z SingleProcess AUTOTUNE benchmarking takes 0.1366 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T08:47:08.5675340Z Autotune Choices Stats: 2025-09-07T08:47:08.5676365Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_48", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.006047999951988459, "best_triton_pos": 0} 2025-09-07T08:47:08.5792413Z AUTOTUNE mm(1x50, 50x1024) 2025-09-07T08:47:08.5792695Z strides: [50, 1], [1, 50] 2025-09-07T08:47:08.5792932Z dtypes: torch.float16, torch.float16 2025-09-07T08:47:08.5793592Z triton_mm_48 0.0060 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:08.5794577Z triton_mm_49 0.0061 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:08.5795533Z triton_mm_43 0.0062 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:08.5796517Z triton_mm_44 0.0062 ms 97.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:47:08.5797482Z triton_mm_45 0.0062 ms 97.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:47:08.5798992Z triton_mm_53 0.0062 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:08.5800156Z triton_mm_54 0.0062 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:08.5801507Z triton_mm_55 0.0062 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:08.5802492Z triton_mm_47 0.0063 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:47:08.5803463Z triton_mm_57 0.0063 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:47:08.5804321Z SingleProcess AUTOTUNE benchmarking takes 0.2194 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T08:47:09.2772826Z Autotune Choices Stats: 2025-09-07T08:47:09.2773919Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_62", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.008352000266313553, "best_triton_pos": 0} 2025-09-07T08:47:09.3695572Z AUTOTUNE mm(1x1024, 1024x1024) 2025-09-07T08:47:09.3695872Z strides: [1024, 1], [1, 1024] 2025-09-07T08:47:09.3696146Z dtypes: torch.float16, torch.float16 2025-09-07T08:47:09.3696841Z triton_mm_62 0.0084 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:47:09.3697847Z triton_mm_66 0.0088 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:09.3698387Z mm 0.0089 ms 93.9% 2025-09-07T08:47:09.3698901Z triton_mm_70 0.0099 ms 84.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:09.3699749Z triton_mm_74 0.0106 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:47:09.3700774Z triton_mm_61 0.0117 ms 71.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:47:09.3701609Z triton_mm_65 0.0117 ms 71.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:09.3702455Z triton_mm_60 0.0117 ms 71.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:09.3703388Z triton_mm_59 0.0124 ms 67.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:47:09.3704227Z triton_mm_69 0.0127 ms 65.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:09.3704968Z SingleProcess AUTOTUNE benchmarking takes 0.3007 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T08:47:10.9110140Z Autotune Choices Stats: 2025-09-07T08:47:10.9111672Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "addmm", "best_time": 0.014976000413298607, "best_triton_pos": 2, "best_triton_time": 0.09747199714183807, "best_triton_kernel": "triton_mm_36", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T08:47:10.9467982Z AUTOTUNE addmm(1x50, 1x39200, 39200x50) 2025-09-07T08:47:10.9468573Z strides: [0, 1], [39200, 1], [1, 39232] 2025-09-07T08:47:10.9468889Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:47:10.9469205Z addmm 0.0150 ms 100.0% 2025-09-07T08:47:10.9469420Z bias_addmm 0.0180 ms 83.0% 2025-09-07T08:47:10.9470027Z triton_mm_36 0.0975 ms 15.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:10.9471223Z triton_mm_39 0.0977 ms 15.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:10.9472222Z triton_mm_32 0.1037 ms 14.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:47:10.9473198Z triton_mm_40 0.1231 ms 12.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:10.9474168Z triton_mm_31 0.2026 ms 7.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:47:10.9475114Z triton_mm_30 0.2188 ms 6.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:10.9476081Z triton_mm_35 0.2302 ms 6.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:10.9477049Z triton_mm_29 0.2555 ms 5.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:47:10.9477907Z SingleProcess AUTOTUNE benchmarking takes 0.7799 seconds and 0.0002 seconds precompiling for 15 choices 2025-09-07T08:47:11.1105949Z Autotune Choices Stats: 2025-09-07T08:47:11.1106914Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_78", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1", "best_time": 0.007135999854654074, "best_triton_pos": 0} 2025-09-07T08:47:11.1309507Z AUTOTUNE addmm(1x2, 1x1024, 1024x2) 2025-09-07T08:47:11.1309795Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T08:47:11.1310101Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:47:11.1311081Z triton_mm_78 0.0071 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T08:47:11.1312071Z triton_mm_84 0.0073 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T08:47:11.1313034Z triton_mm_85 0.0077 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T08:47:11.1313979Z triton_mm_77 0.0087 ms 82.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T08:47:11.1314925Z triton_mm_81 0.0090 ms 79.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T08:47:11.1316245Z triton_mm_76 0.0093 ms 76.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T08:47:11.1317383Z triton_mm_83 0.0099 ms 71.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T08:47:11.1318013Z addmm 0.0109 ms 65.4% 2025-09-07T08:47:11.1318580Z triton_mm_82 0.0116 ms 61.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T08:47:11.1319455Z triton_mm_80 0.0174 ms 41.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T08:47:11.1320370Z SingleProcess AUTOTUNE benchmarking takes 0.1833 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T08:47:14.7121806Z Autotune Choices Stats: 2025-09-07T08:47:14.7122972Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_136", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8", "best_time": 0.00598399993032217, "best_triton_pos": 0} 2025-09-07T08:47:14.7511281Z AUTOTUNE mm(1024x1, 1x1024) 2025-09-07T08:47:14.7511535Z strides: [1, 1024], [1024, 1] 2025-09-07T08:47:14.7511783Z dtypes: torch.float16, torch.float16 2025-09-07T08:47:14.7512417Z triton_mm_136 0.0060 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:47:14.7513381Z triton_mm_132 0.0060 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:47:14.7514303Z triton_mm_134 0.0060 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:14.7515230Z triton_mm_135 0.0060 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:14.7516145Z triton_mm_138 0.0060 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:14.7517054Z triton_mm_139 0.0060 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:47:14.7517955Z triton_mm_131 0.0061 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:14.7518850Z triton_mm_133 0.0061 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:47:14.7519755Z triton_mm_137 0.0061 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:14.7520950Z triton_mm_129 0.0062 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:47:14.7521766Z SingleProcess AUTOTUNE benchmarking takes 0.1940 seconds and 0.0005 seconds precompiling for 17 choices 2025-09-07T08:47:14.9150449Z Autotune Choices Stats: 2025-09-07T08:47:14.9151478Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_mm_160", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.005663999821990728, "best_triton_pos": 0} 2025-09-07T08:47:14.9598138Z AUTOTUNE mm(1024x1, 1x50) 2025-09-07T08:47:14.9598374Z strides: [1, 1024], [50, 1] 2025-09-07T08:47:14.9598686Z dtypes: torch.float16, torch.float16 2025-09-07T08:47:14.9599854Z triton_mm_160 0.0057 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:14.9601068Z triton_mm_156 0.0057 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T08:47:14.9602045Z triton_mm_157 0.0057 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:47:14.9603010Z triton_mm_158 0.0057 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:47:14.9603980Z triton_mm_159 0.0057 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:47:14.9604957Z triton_mm_164 0.0058 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:14.9605920Z triton_mm_161 0.0058 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:47:14.9606877Z triton_mm_162 0.0058 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:47:14.9607825Z triton_mm_165 0.0058 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:47:14.9608853Z triton_mm_166 0.0058 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:14.9609674Z SingleProcess AUTOTUNE benchmarking takes 0.1876 seconds and 0.0002 seconds precompiling for 16 choices 2025-09-07T08:47:15.5971708Z Autotune Choices Stats: 2025-09-07T08:47:15.5972773Z {"num_choices": 13, "num_triton_choices": 12, "best_kernel": "triton_mm_100", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.005504000000655651, "best_triton_pos": 0} 2025-09-07T08:47:15.6278491Z AUTOTUNE mm(2x1, 1x1024) 2025-09-07T08:47:15.6278750Z strides: [1, 2], [1024, 1] 2025-09-07T08:47:15.6279006Z dtypes: torch.float16, torch.float16 2025-09-07T08:47:15.6279566Z triton_mm_100 0.0055 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:15.6280766Z triton_mm_101 0.0055 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:47:15.6281562Z triton_mm_102 0.0055 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:47:15.6282350Z triton_mm_104 0.0055 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:15.6283131Z triton_mm_107 0.0055 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:15.6284333Z triton_mm_99 0.0055 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:47:15.6285332Z triton_mm_103 0.0055 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:15.6286128Z triton_mm_106 0.0055 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:15.6286916Z triton_mm_108 0.0055 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T08:47:15.6287692Z triton_mm_98 0.0056 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T08:47:15.6288388Z SingleProcess AUTOTUNE benchmarking takes 0.4742 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T08:47:15.9280149Z Autotune Choices Stats: 2025-09-07T08:47:15.9281647Z {"num_choices": 13, "num_triton_choices": 12, "best_kernel": "triton_mm_92", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.005504000000655651, "best_triton_pos": 0} 2025-09-07T08:47:15.9491838Z AUTOTUNE mm(1x2, 2x1024) 2025-09-07T08:47:15.9492222Z strides: [2, 1], [1024, 1] 2025-09-07T08:47:15.9492478Z dtypes: torch.float16, torch.float16 2025-09-07T08:47:15.9493141Z triton_mm_92 0.0055 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:15.9494175Z triton_mm_94 0.0055 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:15.9495172Z triton_mm_95 0.0055 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:15.9496138Z triton_mm_88 0.0055 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:15.9497109Z triton_mm_91 0.0055 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:15.9498083Z triton_mm_93 0.0055 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:47:15.9499063Z triton_mm_96 0.0055 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T08:47:15.9500043Z triton_mm_87 0.0056 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:47:15.9501212Z triton_mm_90 0.0056 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:47:15.9502177Z triton_mm_97 0.0056 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:47:15.9503108Z SingleProcess AUTOTUNE benchmarking takes 0.1372 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T08:47:16.3874388Z Autotune Choices Stats: 2025-09-07T08:47:16.3875982Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_114", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.008511999621987343, "best_triton_pos": 0} 2025-09-07T08:47:16.3979616Z AUTOTUNE mm(1x1024, 1024x1024) 2025-09-07T08:47:16.3979892Z strides: [1024, 1], [1024, 1] 2025-09-07T08:47:16.3980602Z dtypes: torch.float16, torch.float16 2025-09-07T08:47:16.3981296Z triton_mm_114 0.0085 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:47:16.3981936Z mm 0.0086 ms 98.5% 2025-09-07T08:47:16.3982526Z triton_mm_118 0.0087 ms 97.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:16.3983613Z triton_mm_126 0.0105 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:47:16.3984610Z triton_mm_112 0.0110 ms 77.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:16.3985565Z triton_mm_113 0.0113 ms 75.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:47:16.3986561Z triton_mm_117 0.0115 ms 74.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:16.3987532Z triton_mm_122 0.0118 ms 72.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:16.3988533Z triton_mm_124 0.0124 ms 68.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:16.3989671Z triton_mm_111 0.0128 ms 66.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:47:16.3990662Z SingleProcess AUTOTUNE benchmarking takes 0.2120 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T08:47:16.9702765Z Autotune Choices Stats: 2025-09-07T08:47:16.9704196Z {"num_choices": 14, "num_triton_choices": 13, "best_kernel": "mm", "best_time": 0.0066559999249875546, "best_triton_pos": 1, "best_triton_time": 0.008383999578654766, "best_triton_kernel": "triton_mm_147", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2"} 2025-09-07T08:47:16.9999291Z AUTOTUNE mm(1x1024, 1024x50) 2025-09-07T08:47:17.0008496Z strides: [1024, 1], [50, 1] 2025-09-07T08:47:17.0008833Z dtypes: torch.float16, torch.float16 2025-09-07T08:47:17.0009149Z mm 0.0067 ms 100.0% 2025-09-07T08:47:17.0009830Z triton_mm_147 0.0084 ms 79.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:47:17.0010953Z triton_mm_154 0.0097 ms 68.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:17.0011857Z triton_mm_155 0.0098 ms 68.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:17.0012751Z triton_mm_151 0.0099 ms 67.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:17.0014018Z triton_mm_146 0.0100 ms 66.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:47:17.0015133Z triton_mm_145 0.0110 ms 60.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:17.0016028Z triton_mm_150 0.0114 ms 58.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:17.0016918Z triton_mm_144 0.0116 ms 57.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:47:17.0017849Z triton_mm_153 0.0120 ms 55.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:17.0018643Z SingleProcess AUTOTUNE benchmarking takes 0.1671 seconds and 0.0002 seconds precompiling for 14 choices 2025-09-07T08:47:17.4304099Z Autotune Choices Stats: 2025-09-07T08:47:17.4305178Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_178", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.008224000222980976, "best_triton_pos": 0} 2025-09-07T08:47:17.4779267Z AUTOTUNE mm(1x50, 50x39200) 2025-09-07T08:47:17.4779595Z strides: [50, 1], [39232, 1] 2025-09-07T08:47:17.4779902Z dtypes: torch.float16, torch.float16 2025-09-07T08:47:17.4781144Z triton_mm_178 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:17.4782198Z triton_mm_179 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:17.4783303Z triton_mm_177 0.0083 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:47:17.4784271Z triton_mm_173 0.0083 ms 99.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:17.4785256Z triton_mm_182 0.0083 ms 99.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:17.4786217Z triton_mm_184 0.0083 ms 99.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:17.4787189Z triton_mm_172 0.0083 ms 98.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:47:17.4788158Z triton_mm_183 0.0083 ms 98.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:17.4789164Z triton_mm_185 0.0083 ms 98.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:17.4790392Z triton_mm_187 0.0084 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:47:17.4791265Z SingleProcess AUTOTUNE benchmarking takes 0.4772 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T08:47:17.6229258Z Autotune Choices Stats: 2025-09-07T08:47:17.6230976Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_mm_199", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.006816000211983919, "best_triton_pos": 0} 2025-09-07T08:47:17.6267213Z AUTOTUNE mm(56x1, 1x39200) 2025-09-07T08:47:17.6267524Z strides: [1, 1], [39200, 1] 2025-09-07T08:47:17.6267823Z dtypes: torch.float16, torch.float16 2025-09-07T08:47:17.6268550Z triton_mm_199 0.0068 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:17.6269744Z triton_mm_193 0.0069 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:47:17.6270930Z triton_mm_195 0.0069 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:17.6271929Z triton_mm_197 0.0069 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:47:17.6272930Z triton_mm_201 0.0069 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T08:47:17.6273929Z triton_mm_202 0.0069 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:47:17.6274926Z triton_mm_198 0.0070 ms 97.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:17.6275938Z triton_mm_196 0.0070 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:17.6276936Z triton_mm_192 0.0072 ms 95.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:17.6277926Z triton_mm_194 0.0074 ms 92.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:47:17.6278790Z SingleProcess AUTOTUNE benchmarking takes 0.1483 seconds and 0.0002 seconds precompiling for 16 choices 2025-09-07T08:47:18.3927089Z W0907 08:47:18.391000 16321 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:47:21.3753926Z pass 2025-09-07T08:47:24.5958393Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:47:24.5960189Z import pynvml # type: ignore[import] 2025-09-07T08:47:27.0795733Z 2025-09-07T08:47:29.8604385Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:47:29.8604740Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:47:29.8605043Z cuda train fastNLP_Bert 2025-09-07T08:47:30.5673700Z W0907 08:47:30.566000 19629 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T08:47:30.5674691Z W0907 08:47:30.566000 19629 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T08:47:30.5675436Z W0907 08:47:30.566000 19629 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: 2025-09-07T08:47:30.5676757Z W0907 08:47:30.566000 19629 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T08:47:30.5677660Z W0907 08:47:30.566000 19629 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. 2025-09-07T08:47:30.5678652Z W0907 08:47:30.566000 19629 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:47:30.5679353Z W0907 08:47:30.566000 19629 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: 2025-09-07T08:47:30.5680834Z W0907 08:47:30.566000 19629 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-09-07T08:47:30.5682042Z W0907 08:47:30.566000 19629 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] pred = mod(*cloned_inputs) 2025-09-07T08:47:30.5683090Z W0907 08:47:30.566000 19629 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/models/bert.py", line 265, in forward 2025-09-07T08:47:30.5684135Z W0907 08:47:30.566000 19629 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] sequence_output = self.bert(words) 2025-09-07T08:47:30.5685112Z W0907 08:47:30.566000 19629 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 137, in forward 2025-09-07T08:47:30.5686064Z W0907 08:47:30.566000 19629 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] outputs = self.model(words) 2025-09-07T08:47:30.5687008Z W0907 08:47:30.566000 19629 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward 2025-09-07T08:47:30.5688582Z W0907 08:47:30.566000 19629 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item() # 表示word piece的长度(包括padding) 2025-09-07T08:47:30.5689389Z W0907 08:47:30.566000 19629 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:47:30.5689896Z W0907 08:47:30.566000 19629 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:47:49.4718053Z Autotune Choices Stats: 2025-09-07T08:47:49.4719619Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.02067199908196926, "best_triton_pos": 1, "best_triton_time": 0.024351999163627625, "best_triton_kernel": "triton_mm_130", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:47:49.6172352Z AUTOTUNE addmm(1904x3072, 1904x768, 768x3072) 2025-09-07T08:47:49.6172725Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T08:47:49.6173049Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:47:49.6173388Z bias_addmm 0.0207 ms 100.0% 2025-09-07T08:47:49.6174076Z triton_mm_130 0.0244 ms 84.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:49.6175157Z triton_mm_124 0.0279 ms 74.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:49.6176199Z triton_mm_131 0.0280 ms 73.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:47:49.6177217Z triton_mm_129 0.0292 ms 70.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:49.6178674Z addmm 0.0311 ms 66.5% 2025-09-07T08:47:49.6179268Z triton_mm_123 0.0321 ms 64.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:47:49.6180816Z triton_mm_127 0.0330 ms 62.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:47:49.6181772Z triton_mm_125 0.0353 ms 58.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:49.6182787Z triton_mm_120 0.0357 ms 57.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:47:49.6183603Z SingleProcess AUTOTUNE benchmarking takes 0.4786 seconds and 0.0004 seconds precompiling for 21 choices 2025-09-07T08:47:50.7422016Z Autotune Choices Stats: 2025-09-07T08:47:50.7423278Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1816", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.0077760000713169575, "best_triton_pos": 0} 2025-09-07T08:47:50.8913369Z AUTOTUNE mm(4x768, 768x768) 2025-09-07T08:47:50.8913686Z strides: [768, 1], [1, 768] 2025-09-07T08:47:50.8913942Z dtypes: torch.float16, torch.float16 2025-09-07T08:47:50.8914634Z triton_mm_1816 0.0078 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:47:50.8915303Z mm 0.0083 ms 93.8% 2025-09-07T08:47:50.8915898Z triton_mm_1820 0.0083 ms 93.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:50.8916935Z triton_mm_1824 0.0092 ms 84.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:50.8917965Z triton_mm_1828 0.0096 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:47:50.8918971Z triton_mm_1815 0.0100 ms 77.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:47:50.8919957Z triton_mm_1814 0.0103 ms 75.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:50.8921330Z triton_mm_1819 0.0103 ms 75.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:50.8922323Z triton_mm_1813 0.0108 ms 71.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:47:50.8923324Z triton_mm_1823 0.0110 ms 70.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:50.8924201Z SingleProcess AUTOTUNE benchmarking takes 0.5109 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T08:47:53.3883303Z Autotune Choices Stats: 2025-09-07T08:47:53.3884742Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011359999887645245, "best_triton_pos": 1, "best_triton_time": 0.012191999703645706, "best_triton_kernel": "triton_mm_18", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T08:47:53.4621429Z AUTOTUNE mm(1904x768, 768x768) 2025-09-07T08:47:53.4621700Z strides: [768, 1], [1, 768] 2025-09-07T08:47:53.4621970Z dtypes: torch.float16, torch.float16 2025-09-07T08:47:53.4622254Z mm 0.0114 ms 100.0% 2025-09-07T08:47:53.4623264Z triton_mm_18 0.0122 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:47:53.4624279Z triton_mm_11 0.0131 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:53.4625250Z triton_mm_17 0.0132 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:53.4626241Z triton_mm_7 0.0134 ms 84.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:47:53.4627248Z triton_mm_10 0.0140 ms 81.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:47:53.4628209Z triton_mm_14 0.0143 ms 79.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:47:53.4629162Z triton_mm_12 0.0145 ms 78.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:53.4630664Z triton_mm_13 0.0161 ms 70.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:53.4631651Z triton_mm_8 0.0161 ms 70.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:53.4632506Z SingleProcess AUTOTUNE benchmarking takes 0.3338 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:47:54.0523463Z Autotune Choices Stats: 2025-09-07T08:47:54.0524582Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_69", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.017343999817967415, "best_triton_pos": 0} 2025-09-07T08:47:54.2421670Z AUTOTUNE bmm(48x476x64, 48x64x476) 2025-09-07T08:47:54.2422050Z strides: [30464, 64, 1], [30464, 476, 1] 2025-09-07T08:47:54.2422358Z dtypes: torch.float16, torch.float16 2025-09-07T08:47:54.2423119Z triton_bmm_69 0.0173 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:54.2424189Z triton_bmm_68 0.0181 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:54.2425174Z triton_bmm_65 0.0194 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:54.2426153Z triton_bmm_75 0.0201 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:47:54.2427120Z triton_bmm_70 0.0205 ms 84.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:54.2428091Z triton_bmm_64 0.0209 ms 83.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:47:54.2429836Z triton_bmm_74 0.0209 ms 83.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:54.2431318Z triton_bmm_73 0.0211 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:54.2432309Z triton_bmm_67 0.0213 ms 81.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:47:54.2433289Z triton_bmm_72 0.0215 ms 80.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T08:47:54.2434161Z SingleProcess AUTOTUNE benchmarking takes 0.7769 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:47:54.5486504Z Autotune Choices Stats: 2025-09-07T08:47:54.5487612Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_83", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8", "best_time": 0.020479999482631683, "best_triton_pos": 0} 2025-09-07T08:47:54.7195839Z AUTOTUNE bmm(48x476x476, 48x476x64) 2025-09-07T08:47:54.7196146Z strides: [226624, 476, 1], [30464, 64, 1] 2025-09-07T08:47:54.7196430Z dtypes: torch.float16, torch.float16 2025-09-07T08:47:54.7197085Z triton_bmm_83 0.0205 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:47:54.7198094Z triton_bmm_87 0.0205 ms 99.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:54.7199092Z triton_bmm_86 0.0214 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:47:54.7200092Z triton_bmm_85 0.0215 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:54.7201532Z triton_bmm_89 0.0220 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:54.7202455Z triton_bmm_90 0.0224 ms 91.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:47:54.7203358Z triton_bmm_88 0.0235 ms 87.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:54.7204276Z triton_bmm_84 0.0240 ms 85.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:54.7205188Z triton_bmm_78 0.0242 ms 84.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:47:54.7206095Z triton_bmm_92 0.0255 ms 80.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:54.7206905Z SingleProcess AUTOTUNE benchmarking takes 0.4770 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T08:47:55.1922989Z Autotune Choices Stats: 2025-09-07T08:47:55.1924282Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.021056000143289566, "best_triton_pos": 1, "best_triton_time": 0.024607999250292778, "best_triton_kernel": "triton_mm_150", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T08:47:55.3640184Z AUTOTUNE mm(1904x3072, 3072x768) 2025-09-07T08:47:55.3641011Z strides: [3072, 1], [1, 3072] 2025-09-07T08:47:55.3641325Z dtypes: torch.float16, torch.float16 2025-09-07T08:47:55.3641609Z mm 0.0211 ms 100.0% 2025-09-07T08:47:55.3642219Z triton_mm_150 0.0246 ms 85.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:47:55.3643224Z triton_mm_144 0.0297 ms 71.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:47:55.3644203Z triton_mm_143 0.0303 ms 69.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:55.3645170Z triton_mm_139 0.0317 ms 66.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:47:55.3646155Z triton_mm_149 0.0328 ms 64.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:55.3647129Z triton_mm_140 0.0338 ms 62.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:47:55.3648082Z triton_mm_142 0.0363 ms 58.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:47:55.3649043Z triton_mm_146 0.0368 ms 57.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:47:55.3650041Z triton_mm_141 0.0463 ms 45.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:47:55.3651046Z SingleProcess AUTOTUNE benchmarking takes 0.6425 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:48:00.7328466Z Autotune Choices Stats: 2025-09-07T08:48:00.7330158Z {"num_choices": 18, "num_triton_choices": 16, "best_kernel": "triton_mm_1833", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.008736000396311283, "best_triton_pos": 0} 2025-09-07T08:48:00.8658040Z AUTOTUNE addmm(1896x2, 1896x768, 768x2) 2025-09-07T08:48:00.8658354Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T08:48:00.8658643Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:48:00.8659258Z triton_mm_1833 0.0087 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:48:00.8660151Z triton_mm_1839 0.0091 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:48:00.8661392Z triton_mm_1844 0.0098 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:48:00.8662347Z triton_mm_1831 0.0109 ms 80.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:48:00.8663336Z triton_mm_1832 0.0109 ms 80.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:48:00.8664735Z triton_mm_1836 0.0110 ms 79.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:00.8665936Z triton_mm_1843 0.0114 ms 76.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:00.8666869Z triton_mm_1830 0.0116 ms 75.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:48:00.8667791Z triton_mm_1838 0.0121 ms 72.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:48:00.8668385Z bias_addmm 0.0122 ms 71.8% 2025-09-07T08:48:00.8668832Z SingleProcess AUTOTUNE benchmarking takes 0.4700 seconds and 0.4368 seconds precompiling for 18 choices 2025-09-07T08:48:02.6030837Z Autotune Choices Stats: 2025-09-07T08:48:02.6032029Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_1852", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.0066559999249875546, "best_triton_pos": 0} 2025-09-07T08:48:02.6501237Z AUTOTUNE mm(1896x2, 2x768) 2025-09-07T08:48:02.6501542Z strides: [2, 1], [768, 1] 2025-09-07T08:48:02.6501806Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:02.6502506Z triton_mm_1852 0.0067 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:48:02.6503655Z triton_mm_1853 0.0067 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:02.6504698Z triton_mm_1854 0.0067 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:02.6505709Z triton_mm_1849 0.0068 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:48:02.6506714Z triton_mm_1851 0.0068 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:48:02.6507706Z triton_mm_1855 0.0068 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:48:02.6508687Z triton_mm_1850 0.0068 ms 97.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:48:02.6509693Z triton_mm_1857 0.0070 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:02.6510870Z triton_mm_1856 0.0070 ms 94.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:02.6511872Z triton_mm_1847 0.0071 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:48:02.6512740Z SingleProcess AUTOTUNE benchmarking takes 0.3791 seconds and 0.0533 seconds precompiling for 17 choices 2025-09-07T08:48:03.7048209Z Autotune Choices Stats: 2025-09-07T08:48:03.7049877Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "mm", "best_time": 0.012992000207304955, "best_triton_pos": 1, "best_triton_time": 0.013472000136971474, "best_triton_kernel": "triton_mm_1865", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2"} 2025-09-07T08:48:03.7088072Z AUTOTUNE mm(2x1896, 1896x768) 2025-09-07T08:48:03.7088328Z strides: [1, 2], [768, 1] 2025-09-07T08:48:03.7088558Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:03.7088801Z mm 0.0130 ms 100.0% 2025-09-07T08:48:03.7089377Z triton_mm_1865 0.0135 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:48:03.7090514Z triton_mm_1869 0.0135 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:48:03.7091452Z triton_mm_1863 0.0164 ms 79.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:48:03.7092363Z triton_mm_1864 0.0165 ms 78.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:48:03.7093277Z triton_mm_1877 0.0168 ms 77.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:48:03.7094182Z triton_mm_1868 0.0177 ms 73.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:03.7095094Z triton_mm_1873 0.0187 ms 69.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:48:03.7095999Z triton_mm_1875 0.0191 ms 67.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:48:03.7096908Z triton_mm_1872 0.0207 ms 62.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:03.7097698Z SingleProcess AUTOTUNE benchmarking takes 0.4742 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T08:48:16.1197700Z Autotune Choices Stats: 2025-09-07T08:48:16.1199015Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01929599978029728, "best_triton_pos": 1, "best_triton_time": 0.020800000056624413, "best_triton_kernel": "triton_mm_1927", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:48:16.1491942Z AUTOTUNE mm(1904x768, 768x3072) 2025-09-07T08:48:16.1492239Z strides: [768, 1], [3072, 1] 2025-09-07T08:48:16.1492500Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:16.1492776Z mm 0.0193 ms 100.0% 2025-09-07T08:48:16.1493441Z triton_mm_1927 0.0208 ms 92.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:16.1494450Z triton_mm_1928 0.0227 ms 84.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:16.1495428Z triton_mm_1929 0.0258 ms 74.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:48:16.1496500Z triton_mm_1922 0.0266 ms 72.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:16.1497884Z triton_mm_1920 0.0267 ms 72.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:16.1499025Z triton_mm_1921 0.0281 ms 68.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:16.1499942Z triton_mm_1925 0.0312 ms 61.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:16.1500996Z triton_mm_1924 0.0317 ms 60.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:16.1501914Z triton_mm_1923 0.0329 ms 58.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:48:16.1502802Z SingleProcess AUTOTUNE benchmarking takes 0.2914 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T08:48:17.7420574Z Autotune Choices Stats: 2025-09-07T08:48:17.7421951Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.018848000094294548, "best_triton_pos": 1, "best_triton_time": 0.02630399912595749, "best_triton_kernel": "triton_mm_1941", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:48:17.7563861Z AUTOTUNE mm(768x1904, 1904x3072) 2025-09-07T08:48:17.7564112Z strides: [1, 768], [3072, 1] 2025-09-07T08:48:17.7564348Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:17.7564594Z mm 0.0188 ms 100.0% 2025-09-07T08:48:17.7565181Z triton_mm_1941 0.0263 ms 71.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:17.7566122Z triton_mm_1947 0.0278 ms 67.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:17.7567108Z triton_mm_1939 0.0315 ms 59.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:17.7568198Z triton_mm_1940 0.0317 ms 59.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:17.7569186Z triton_mm_1946 0.0324 ms 58.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:17.7570199Z triton_mm_1942 0.0326 ms 57.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:48:17.7571395Z triton_mm_1943 0.0338 ms 55.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:17.7572373Z triton_mm_1937 0.0338 ms 55.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:48:17.7573367Z triton_mm_1948 0.0341 ms 55.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:48:17.7574234Z SingleProcess AUTOTUNE benchmarking takes 0.5438 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:48:18.5414375Z Autotune Choices Stats: 2025-09-07T08:48:18.5415865Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.018880000337958336, "best_triton_pos": 1, "best_triton_time": 0.026623999699950218, "best_triton_kernel": "triton_mm_1979", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:48:18.5509380Z AUTOTUNE mm(3072x1904, 1904x768) 2025-09-07T08:48:18.5509651Z strides: [1, 3072], [768, 1] 2025-09-07T08:48:18.5509907Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:18.5510174Z mm 0.0189 ms 100.0% 2025-09-07T08:48:18.5510935Z triton_mm_1979 0.0266 ms 70.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:18.5511964Z triton_mm_1985 0.0277 ms 68.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:18.5512989Z triton_mm_1977 0.0309 ms 61.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:18.5513990Z triton_mm_1984 0.0314 ms 60.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:18.5514991Z triton_mm_1978 0.0318 ms 59.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:18.5515988Z triton_mm_1980 0.0324 ms 58.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:48:18.5516987Z triton_mm_1981 0.0325 ms 58.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:18.5517981Z triton_mm_1982 0.0336 ms 56.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:18.5518962Z triton_mm_1975 0.0337 ms 56.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:48:18.5519833Z SingleProcess AUTOTUNE benchmarking takes 0.4130 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:48:19.1414299Z Autotune Choices Stats: 2025-09-07T08:48:19.1415317Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_1897", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.006335999816656113, "best_triton_pos": 0} 2025-09-07T08:48:19.1708143Z AUTOTUNE mm(768x4, 4x768) 2025-09-07T08:48:19.1708431Z strides: [1, 768], [768, 1] 2025-09-07T08:48:19.1708683Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:19.1709355Z triton_mm_1897 0.0063 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:48:19.1710575Z triton_mm_1900 0.0064 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:48:19.1711561Z triton_mm_1904 0.0064 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:19.1712538Z triton_mm_1905 0.0065 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:48:19.1713936Z triton_mm_1901 0.0065 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:48:19.1715156Z triton_mm_1907 0.0065 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:19.1716142Z triton_mm_1902 0.0066 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:48:19.1717121Z triton_mm_1896 0.0066 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:48:19.1718044Z triton_mm_1895 0.0066 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T08:48:19.1718946Z triton_mm_1898 0.0066 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:48:19.1719738Z SingleProcess AUTOTUNE benchmarking takes 0.1864 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T08:48:19.7398758Z Autotune Choices Stats: 2025-09-07T08:48:19.7400124Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.012543999589979649, "best_triton_pos": 1, "best_triton_time": 0.014655999839305878, "best_triton_kernel": "triton_mm_2018", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T08:48:19.7646326Z AUTOTUNE mm(768x1904, 1904x768) 2025-09-07T08:48:19.7646606Z strides: [1, 768], [768, 1] 2025-09-07T08:48:19.7646903Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:19.7647200Z mm 0.0125 ms 100.0% 2025-09-07T08:48:19.7647833Z triton_mm_2018 0.0147 ms 85.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:48:19.7648892Z triton_mm_2014 0.0173 ms 72.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:48:19.7649920Z triton_mm_2024 0.0181 ms 69.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:48:19.7651088Z triton_mm_2013 0.0193 ms 65.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:48:19.7652066Z triton_mm_2017 0.0195 ms 64.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:19.7653043Z triton_mm_2016 0.0213 ms 58.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:19.7654019Z triton_mm_2023 0.0216 ms 58.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:19.7654985Z triton_mm_2020 0.0217 ms 57.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:19.7656018Z triton_mm_2010 0.0243 ms 51.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:48:19.7657306Z SingleProcess AUTOTUNE benchmarking takes 0.2533 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:48:23.0416403Z Autotune Choices Stats: 2025-09-07T08:48:23.0418139Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1882", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.00774399982765317, "best_triton_pos": 0} 2025-09-07T08:48:23.0685783Z AUTOTUNE mm(4x768, 768x768) 2025-09-07T08:48:23.0686068Z strides: [768, 1], [768, 1] 2025-09-07T08:48:23.0686346Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:23.0687077Z triton_mm_1882 0.0077 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:48:23.0688179Z triton_mm_1886 0.0082 ms 94.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:48:23.0688790Z mm 0.0082 ms 94.2% 2025-09-07T08:48:23.0689304Z triton_mm_1894 0.0095 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:48:23.0690148Z triton_mm_1881 0.0098 ms 79.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:48:23.0691186Z triton_mm_1880 0.0098 ms 78.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:48:23.0692032Z triton_mm_1890 0.0098 ms 78.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:48:23.0692897Z triton_mm_1885 0.0102 ms 75.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:23.0693722Z triton_mm_1892 0.0109 ms 71.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:48:23.0694566Z triton_mm_1889 0.0109 ms 71.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:23.0695315Z SingleProcess AUTOTUNE benchmarking takes 0.2236 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T08:48:23.4684901Z Autotune Choices Stats: 2025-09-07T08:48:23.4685967Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.020191999152302742, "best_triton_pos": 1, "best_triton_time": 0.02521600015461445, "best_triton_kernel": "triton_mm_1967", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T08:48:23.5109407Z AUTOTUNE mm(1904x3072, 3072x768) 2025-09-07T08:48:23.5109667Z strides: [3072, 1], [768, 1] 2025-09-07T08:48:23.5109882Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:23.5110122Z mm 0.0202 ms 100.0% 2025-09-07T08:48:23.5110972Z triton_mm_1967 0.0252 ms 80.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:48:23.5111788Z triton_mm_1960 0.0297 ms 68.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:23.5112580Z triton_mm_1961 0.0304 ms 66.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:48:23.5113915Z triton_mm_1956 0.0318 ms 63.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:48:23.5114902Z triton_mm_1966 0.0319 ms 63.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:23.5115684Z triton_mm_1957 0.0332 ms 60.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:48:23.5116469Z triton_mm_1959 0.0358 ms 56.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:23.5117232Z triton_mm_1963 0.0359 ms 56.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:23.5118001Z triton_mm_1958 0.0441 ms 45.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:23.5118711Z SingleProcess AUTOTUNE benchmarking takes 0.4411 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:48:23.7566985Z Autotune Choices Stats: 2025-09-07T08:48:23.7568205Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011327999643981457, "best_triton_pos": 1, "best_triton_time": 0.011935999616980553, "best_triton_kernel": "triton_mm_2005", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T08:48:23.8174180Z AUTOTUNE mm(1904x768, 768x768) 2025-09-07T08:48:23.8174484Z strides: [768, 1], [768, 1] 2025-09-07T08:48:23.8174773Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:23.8175048Z mm 0.0113 ms 100.0% 2025-09-07T08:48:23.8175686Z triton_mm_2005 0.0119 ms 94.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:48:23.8176745Z triton_mm_1998 0.0125 ms 90.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:23.8177759Z triton_mm_2004 0.0129 ms 87.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:23.8178850Z triton_mm_1994 0.0132 ms 85.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:48:23.8179762Z triton_mm_1997 0.0136 ms 83.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:23.8181018Z triton_mm_2001 0.0139 ms 81.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:23.8181941Z triton_mm_1999 0.0144 ms 78.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:48:23.8182914Z triton_mm_1996 0.0154 ms 73.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:23.8183827Z triton_mm_2000 0.0159 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:23.8185127Z SingleProcess AUTOTUNE benchmarking takes 0.3054 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:48:24.0900179Z Autotune Choices Stats: 2025-09-07T08:48:24.0901823Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_2035", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8", "best_time": 0.019200000911951065, "best_triton_pos": 0} 2025-09-07T08:48:24.0922171Z AUTOTUNE bmm(48x476x476, 48x476x64) 2025-09-07T08:48:24.0922468Z strides: [226624, 1, 476], [30464, 64, 1] 2025-09-07T08:48:24.0922771Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:24.0923458Z triton_bmm_2035 0.0192 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:24.0924469Z triton_bmm_2036 0.0194 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:24.0925494Z triton_bmm_2032 0.0196 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:48:24.0926487Z triton_bmm_2039 0.0199 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:24.0927465Z triton_bmm_2034 0.0202 ms 94.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:24.0928540Z triton_bmm_2038 0.0204 ms 94.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:24.0929495Z triton_bmm_2041 0.0227 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:24.0930565Z triton_bmm_2027 0.0238 ms 80.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:48:24.0931147Z bmm 0.0239 ms 80.4% 2025-09-07T08:48:24.0931682Z triton_bmm_2042 0.0240 ms 79.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:48:24.0932478Z SingleProcess AUTOTUNE benchmarking takes 0.2739 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:48:24.4049916Z Autotune Choices Stats: 2025-09-07T08:48:24.4051281Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_2059", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.0180479995906353, "best_triton_pos": 0} 2025-09-07T08:48:24.4133488Z AUTOTUNE bmm(48x476x64, 48x64x476) 2025-09-07T08:48:24.4133768Z strides: [30464, 64, 1], [30464, 1, 64] 2025-09-07T08:48:24.4134067Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:24.4134762Z triton_bmm_2059 0.0180 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:24.4135793Z triton_bmm_2052 0.0188 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:24.4136782Z triton_bmm_2056 0.0192 ms 93.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:24.4137770Z triton_bmm_2054 0.0196 ms 92.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:24.4139155Z triton_bmm_2055 0.0196 ms 92.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:48:24.4140198Z triton_bmm_2051 0.0198 ms 91.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:48:24.4141259Z triton_bmm_2053 0.0200 ms 90.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:24.4142125Z triton_bmm_2061 0.0203 ms 88.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:48:24.4143100Z triton_bmm_2050 0.0205 ms 88.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:48:24.4143962Z triton_bmm_2060 0.0205 ms 87.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:24.4144714Z SingleProcess AUTOTUNE benchmarking takes 0.3207 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:48:24.7655331Z Autotune Choices Stats: 2025-09-07T08:48:24.7656320Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_2076", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8", "best_time": 0.019360000267624855, "best_triton_pos": 0} 2025-09-07T08:48:24.8259747Z AUTOTUNE bmm(48x64x476, 48x476x476) 2025-09-07T08:48:24.8260060Z strides: [30464, 1, 64], [226624, 476, 1] 2025-09-07T08:48:24.8260623Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:24.8261313Z triton_bmm_2076 0.0194 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:24.8262344Z triton_bmm_2069 0.0198 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:48:24.8263431Z triton_bmm_2072 0.0204 ms 95.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:24.8264421Z triton_bmm_2071 0.0205 ms 94.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:24.8265419Z triton_bmm_2075 0.0207 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:24.8266393Z triton_bmm_2065 0.0221 ms 87.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:48:24.8267380Z triton_bmm_2073 0.0227 ms 85.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:24.8268006Z bmm 0.0240 ms 80.6% 2025-09-07T08:48:24.8268714Z triton_bmm_2078 0.0243 ms 79.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:48:24.8269750Z triton_bmm_2064 0.0248 ms 78.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:48:24.8271033Z SingleProcess AUTOTUNE benchmarking takes 0.4121 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T08:48:25.1827296Z Autotune Choices Stats: 2025-09-07T08:48:25.1828783Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_2090", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.022048000246286392, "best_triton_pos": 0} 2025-09-07T08:48:25.2065713Z AUTOTUNE bmm(48x476x476, 48x476x64) 2025-09-07T08:48:25.2066068Z strides: [226624, 476, 1], [30464, 1, 476] 2025-09-07T08:48:25.2066366Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:25.2067053Z triton_bmm_2090 0.0220 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:25.2068094Z triton_bmm_2086 0.0224 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:48:25.2069223Z triton_bmm_2092 0.0231 ms 95.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:25.2070157Z triton_bmm_2089 0.0243 ms 90.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:25.2071279Z triton_bmm_2088 0.0253 ms 87.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:25.2072209Z triton_bmm_2093 0.0260 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:48:25.2073132Z triton_bmm_2085 0.0266 ms 82.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:48:25.2073714Z bmm 0.0269 ms 82.0% 2025-09-07T08:48:25.2074255Z triton_bmm_2081 0.0272 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:48:25.2075169Z triton_bmm_2082 0.0272 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:48:25.2075965Z SingleProcess AUTOTUNE benchmarking takes 0.3800 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:48:29.9809226Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 512, in forward 2025-09-07T08:48:29.9810807Z embedding_output = self.embeddings(input_ids, token_type_ids) 2025-09-07T08:48:29.9811398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 240, in forward 2025-09-07T08:48:29.9812000Z token_type_embeddings = self.token_type_embeddings(token_type_ids) 2025-09-07T08:48:29.9812274Z 2025-09-07T08:48:29.9812278Z 2025-09-07T08:48:31.1785061Z pass 2025-09-07T08:48:35.4819980Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:48:35.4821934Z import pynvml # type: ignore[import] 2025-09-07T08:48:38.2199988Z 2025-09-07T08:48:39.4189636Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:48:39.4190018Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:48:39.4191259Z cuda train functorch_dp_cifar10 2025-09-07T08:48:49.2754022Z Autotune Choices Stats: 2025-09-07T08:48:49.2757308Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.019551999866962433, "best_triton_pos": 1, "best_triton_time": 0.034272000193595886, "best_triton_kernel": "triton_convolution2d_4", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T08:48:49.3105749Z AUTOTUNE convolution(4x3x32x32, 64x3x7x7) 2025-09-07T08:48:49.3106069Z strides: [3072, 1, 96, 3], [147, 1, 21, 3] 2025-09-07T08:48:49.3106366Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:49.3106660Z convolution 0.0196 ms 100.0% 2025-09-07T08:48:49.3107432Z triton_convolution2d_4 0.0343 ms 57.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:48:49.3108662Z triton_convolution2d_0 0.0422 ms 46.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:49.3109879Z triton_convolution2d_3 0.0460 ms 42.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:48:49.3111514Z triton_convolution2d_2 0.0552 ms 35.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T08:48:49.3112761Z triton_convolution2d_5 0.0573 ms 34.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:48:49.3114011Z triton_convolution2d_1 0.0996 ms 19.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:49.3114996Z SingleProcess AUTOTUNE benchmarking takes 0.1455 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T08:48:49.4107098Z Autotune Choices Stats: 2025-09-07T08:48:49.4109395Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.009535999968647957, "best_triton_pos": 1, "best_triton_time": 0.0163199994713068, "best_triton_kernel": "triton_convolution2d_10", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T08:48:49.5414084Z AUTOTUNE convolution(4x64x8x8, 64x64x3x3) 2025-09-07T08:48:49.5414480Z strides: [4096, 1, 512, 64], [576, 1, 192, 64] 2025-09-07T08:48:49.5414806Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:49.5415096Z convolution 0.0095 ms 100.0% 2025-09-07T08:48:49.5415876Z triton_convolution2d_10 0.0163 ms 58.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:49.5417156Z triton_convolution2d_11 0.0165 ms 57.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:48:49.5418401Z triton_convolution2d_9 0.0171 ms 55.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:48:49.5419639Z triton_convolution2d_6 0.0210 ms 45.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:49.5421794Z triton_convolution2d_12 0.0216 ms 44.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:48:49.5423158Z triton_convolution2d_8 0.0259 ms 36.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T08:48:49.5424401Z triton_convolution2d_7 0.0292 ms 32.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:49.5425388Z SingleProcess AUTOTUNE benchmarking takes 0.2296 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T08:48:49.8372306Z Autotune Choices Stats: 2025-09-07T08:48:49.8374746Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.009696000255644321, "best_triton_pos": 1, "best_triton_time": 0.01679999940097332, "best_triton_kernel": "triton_convolution2d_38", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T08:48:50.8587477Z AUTOTUNE convolution(4x64x8x8, 128x64x3x3) 2025-09-07T08:48:50.8587848Z strides: [4096, 1, 512, 64], [576, 1, 192, 64] 2025-09-07T08:48:50.8588169Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:50.8588475Z convolution 0.0097 ms 100.0% 2025-09-07T08:48:50.8589241Z triton_convolution2d_38 0.0168 ms 57.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:50.8590856Z triton_convolution2d_39 0.0174 ms 55.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:48:50.8592130Z triton_convolution2d_37 0.0175 ms 55.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:48:50.8593386Z triton_convolution2d_40 0.0219 ms 44.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:48:50.8594627Z triton_convolution2d_34 0.0228 ms 42.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:50.8595922Z triton_convolution2d_36 0.0247 ms 39.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T08:48:50.8597256Z triton_convolution2d_35 0.0261 ms 37.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:50.8598239Z SingleProcess AUTOTUNE benchmarking takes 1.3134 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T08:48:51.1049726Z Autotune Choices Stats: 2025-09-07T08:48:51.1052368Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.01158399973064661, "best_triton_pos": 1, "best_triton_time": 0.028095999732613564, "best_triton_kernel": "triton_convolution2d_46", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T08:48:51.3299959Z AUTOTUNE convolution(4x128x4x4, 128x128x3x3) 2025-09-07T08:48:51.3300475Z strides: [2048, 1, 512, 128], [1152, 1, 384, 128] 2025-09-07T08:48:51.3300810Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:51.3301378Z convolution 0.0116 ms 100.0% 2025-09-07T08:48:51.3302175Z triton_convolution2d_46 0.0281 ms 41.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:48:51.3303518Z triton_convolution2d_45 0.0288 ms 40.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:51.3304731Z triton_convolution2d_44 0.0345 ms 33.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:48:51.3305988Z triton_convolution2d_43 0.0395 ms 29.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=4 2025-09-07T08:48:51.3307227Z triton_convolution2d_42 0.0408 ms 28.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:51.3308359Z triton_convolution2d_41 0.0469 ms 24.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:51.3309278Z SingleProcess AUTOTUNE benchmarking takes 0.4706 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T08:48:51.4361524Z Autotune Choices Stats: 2025-09-07T08:48:51.4362524Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_51", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.006719999946653843, "best_triton_pos": 0} 2025-09-07T08:48:51.8275985Z AUTOTUNE convolution(4x64x8x8, 128x64x1x1) 2025-09-07T08:48:51.8276298Z strides: [4096, 1, 512, 64], [64, 1, 64, 64] 2025-09-07T08:48:51.8276581Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:51.8277305Z triton_convolution2d_51 0.0067 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T08:48:51.8278465Z triton_convolution2d_52 0.0071 ms 94.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T08:48:51.8279621Z triton_convolution2d_49 0.0073 ms 92.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T08:48:51.8280485Z convolution 0.0074 ms 90.5% 2025-09-07T08:48:51.8281182Z triton_convolution2d_53 0.0075 ms 89.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T08:48:51.8282352Z triton_convolution2d_50 0.0076 ms 88.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T08:48:51.8283513Z triton_convolution2d_47 0.0076 ms 87.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T08:48:51.8285019Z triton_convolution2d_48 0.0081 ms 82.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T08:48:51.8286120Z SingleProcess AUTOTUNE benchmarking takes 0.4968 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T08:48:51.9843005Z Autotune Choices Stats: 2025-09-07T08:48:51.9844510Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.011872000060975552, "best_triton_pos": 1, "best_triton_time": 0.02876799926161766, "best_triton_kernel": "triton_convolution2d_72", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T08:48:52.0207000Z AUTOTUNE convolution(4x128x4x4, 256x128x3x3) 2025-09-07T08:48:52.0207354Z strides: [2048, 1, 512, 128], [1152, 1, 384, 128] 2025-09-07T08:48:52.0207665Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:52.0207961Z convolution 0.0119 ms 100.0% 2025-09-07T08:48:52.0208725Z triton_convolution2d_72 0.0288 ms 41.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:48:52.0209969Z triton_convolution2d_70 0.0302 ms 39.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:52.0211581Z triton_convolution2d_69 0.0348 ms 34.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:48:52.0212825Z triton_convolution2d_68 0.0394 ms 30.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=4 2025-09-07T08:48:52.0214043Z triton_convolution2d_67 0.0402 ms 29.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:52.0215254Z triton_convolution2d_71 0.0405 ms 29.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:48:52.0216580Z triton_convolution2d_66 0.0549 ms 21.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:52.0217495Z SingleProcess AUTOTUNE benchmarking takes 0.1902 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T08:48:52.5132941Z Autotune Choices Stats: 2025-09-07T08:48:52.5134617Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.013311999849975109, "best_triton_pos": 1, "best_triton_time": 0.05395200103521347, "best_triton_kernel": "triton_convolution2d_77", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T08:48:52.6724026Z AUTOTUNE convolution(4x256x2x2, 256x256x3x3) 2025-09-07T08:48:52.6724468Z strides: [1024, 1, 512, 256], [2304, 1, 768, 256] 2025-09-07T08:48:52.6724882Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:52.6725231Z convolution 0.0133 ms 100.0% 2025-09-07T08:48:52.6726134Z triton_convolution2d_77 0.0540 ms 24.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:52.6727866Z triton_convolution2d_76 0.0622 ms 21.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:48:52.6729276Z triton_convolution2d_78 0.0744 ms 17.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:48:52.6730854Z triton_convolution2d_74 0.0788 ms 16.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:52.6732049Z triton_convolution2d_75 0.0800 ms 16.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=1 2025-09-07T08:48:52.6733257Z triton_convolution2d_73 0.1088 ms 12.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:52.6734232Z SingleProcess AUTOTUNE benchmarking takes 0.6509 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T08:48:53.1604202Z Autotune Choices Stats: 2025-09-07T08:48:53.1605343Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_83", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.007679999805986881, "best_triton_pos": 0} 2025-09-07T08:48:53.2902359Z AUTOTUNE convolution(4x128x4x4, 256x128x1x1) 2025-09-07T08:48:53.2902778Z strides: [2048, 1, 512, 128], [128, 1, 128, 128] 2025-09-07T08:48:53.2903105Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:53.2903908Z triton_convolution2d_83 0.0077 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T08:48:53.2904674Z convolution 0.0077 ms 99.2% 2025-09-07T08:48:53.2905414Z triton_convolution2d_85 0.0079 ms 97.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T08:48:53.2906719Z triton_convolution2d_82 0.0080 ms 95.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T08:48:53.2908059Z triton_convolution2d_81 0.0085 ms 90.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=1, num_warps=4 2025-09-07T08:48:53.2909290Z triton_convolution2d_80 0.0087 ms 88.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T08:48:53.2910987Z triton_convolution2d_84 0.0089 ms 86.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T08:48:53.2912227Z triton_convolution2d_79 0.0101 ms 75.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T08:48:53.2913199Z SingleProcess AUTOTUNE benchmarking takes 0.6169 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T08:48:53.6113455Z Autotune Choices Stats: 2025-09-07T08:48:53.6115322Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.013504000380635262, "best_triton_pos": 1, "best_triton_time": 0.05158400163054466, "best_triton_kernel": "triton_convolution2d_102", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T08:48:53.8437171Z AUTOTUNE convolution(4x256x2x2, 512x256x3x3) 2025-09-07T08:48:53.8437576Z strides: [1024, 1, 512, 256], [2304, 1, 768, 256] 2025-09-07T08:48:53.8437947Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:53.8438261Z convolution 0.0135 ms 100.0% 2025-09-07T08:48:53.8439012Z triton_convolution2d_102 0.0516 ms 26.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:53.8440684Z triton_convolution2d_101 0.0588 ms 23.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:48:53.8441916Z triton_convolution2d_103 0.0728 ms 18.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:48:53.8443125Z triton_convolution2d_99 0.0817 ms 16.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:53.8444328Z triton_convolution2d_100 0.0821 ms 16.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=1 2025-09-07T08:48:53.8445540Z triton_convolution2d_98 0.1092 ms 12.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:53.8446510Z SingleProcess AUTOTUNE benchmarking takes 0.5505 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T08:48:54.2231787Z Autotune Choices Stats: 2025-09-07T08:48:54.2233210Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.016575999557971954, "best_triton_pos": 1, "best_triton_time": 0.10716799646615982, "best_triton_kernel": "triton_convolution2d_108", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T08:48:54.2940131Z AUTOTUNE convolution(4x512x1x1, 512x512x3x3) 2025-09-07T08:48:54.2940720Z strides: [512, 1, 512, 512], [4608, 1, 1536, 512] 2025-09-07T08:48:54.2941073Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:54.2941363Z convolution 0.0166 ms 100.0% 2025-09-07T08:48:54.2942149Z triton_convolution2d_108 0.1072 ms 15.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:54.2943486Z triton_convolution2d_107 0.1185 ms 14.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:48:54.2944710Z triton_convolution2d_109 0.1350 ms 12.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:48:54.2945917Z triton_convolution2d_106 0.1605 ms 10.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=1 2025-09-07T08:48:54.2947846Z triton_convolution2d_105 0.1699 ms 9.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:54.2949301Z triton_convolution2d_104 0.2280 ms 7.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:48:54.2950426Z SingleProcess AUTOTUNE benchmarking takes 0.4495 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T08:48:54.3808056Z Autotune Choices Stats: 2025-09-07T08:48:54.3809508Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.008287999778985977, "best_triton_pos": 1, "best_triton_time": 0.01027199998497963, "best_triton_kernel": "triton_convolution2d_114", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T08:48:54.5228566Z AUTOTUNE convolution(4x256x2x2, 512x256x1x1) 2025-09-07T08:48:54.5228901Z strides: [1024, 1, 512, 256], [256, 1, 256, 256] 2025-09-07T08:48:54.5229223Z dtypes: torch.float16, torch.float16 2025-09-07T08:48:54.5229488Z convolution 0.0083 ms 100.0% 2025-09-07T08:48:54.5230624Z triton_convolution2d_114 0.0103 ms 80.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T08:48:54.5231875Z triton_convolution2d_113 0.0108 ms 76.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T08:48:54.5233124Z triton_convolution2d_112 0.0118 ms 70.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=1, num_warps=1 2025-09-07T08:48:54.5234360Z triton_convolution2d_115 0.0127 ms 65.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T08:48:54.5235591Z triton_convolution2d_111 0.0128 ms 64.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T08:48:54.5236827Z triton_convolution2d_110 0.0158 ms 52.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T08:48:54.5237810Z SingleProcess AUTOTUNE benchmarking takes 0.2280 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T08:48:54.7663746Z Autotune Choices Stats: 2025-09-07T08:48:54.7664833Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_132", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.0077760000713169575, "best_triton_pos": 0} 2025-09-07T08:48:54.7927923Z AUTOTUNE addmm(4x1000, 4x512, 512x1000) 2025-09-07T08:48:54.7928218Z strides: [0, 1], [512, 1], [1, 512] 2025-09-07T08:48:54.7928520Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:48:54.7929244Z triton_mm_132 0.0078 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:48:54.7930424Z triton_mm_136 0.0080 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:48:55.0144540Z bias_addmm 0.0083 ms 93.8% 2025-09-07T08:48:55.0145179Z triton_mm_144 0.0088 ms 88.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:48:55.0196655Z triton_mm_131 0.0091 ms 85.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:48:55.0197839Z triton_mm_135 0.0093 ms 83.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:55.0198916Z triton_mm_130 0.0093 ms 83.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:48:55.0199883Z triton_mm_140 0.0094 ms 82.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:48:55.0201284Z triton_mm_129 0.0094 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:48:55.0202237Z triton_mm_139 0.0098 ms 79.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:48:55.0203084Z SingleProcess AUTOTUNE benchmarking takes 0.2670 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:49:04.0429764Z Autotune Choices Stats: 2025-09-07T08:49:04.0431236Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_166", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.006047999951988459, "best_triton_pos": 0} 2025-09-07T08:49:04.0825499Z AUTOTUNE mm(1000x4, 4x512) 2025-09-07T08:49:04.0825825Z strides: [1, 1000], [512, 1] 2025-09-07T08:49:04.0826085Z dtypes: torch.float16, torch.float16 2025-09-07T08:49:04.0826767Z triton_mm_166 0.0060 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:49:04.0827751Z triton_mm_167 0.0060 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:49:04.0828732Z triton_mm_164 0.0061 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:49:04.0829797Z triton_mm_165 0.0061 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:49:04.0831019Z triton_mm_169 0.0062 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:49:04.0831994Z triton_mm_168 0.0062 ms 97.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:49:04.0832972Z triton_mm_162 0.0063 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T08:49:04.0833943Z triton_mm_163 0.0063 ms 95.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:49:04.0834919Z triton_mm_172 0.0063 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:49:04.0836519Z triton_mm_174 0.0064 ms 94.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:49:04.0837615Z SingleProcess AUTOTUNE benchmarking takes 0.1949 seconds and 0.0003 seconds precompiling for 17 choices 2025-09-07T08:49:05.4462973Z Autotune Choices Stats: 2025-09-07T08:49:05.4464292Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "mm", "best_time": 0.008608000352978706, "best_triton_pos": 1, "best_triton_time": 0.009216000325977802, "best_triton_kernel": "triton_mm_149", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2"} 2025-09-07T08:49:05.5671545Z AUTOTUNE mm(4x1000, 1000x512) 2025-09-07T08:49:05.5671826Z strides: [1000, 1], [512, 1] 2025-09-07T08:49:05.5672134Z dtypes: torch.float16, torch.float16 2025-09-07T08:49:05.5672393Z mm 0.0086 ms 100.0% 2025-09-07T08:49:05.5672987Z triton_mm_149 0.0092 ms 93.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:49:05.5673992Z triton_mm_153 0.0094 ms 91.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:49:05.5674984Z triton_mm_157 0.0098 ms 87.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:49:05.5675957Z triton_mm_147 0.0111 ms 77.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:49:05.5676930Z triton_mm_148 0.0111 ms 77.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:49:05.5677908Z triton_mm_161 0.0114 ms 75.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:49:05.5678879Z triton_mm_152 0.0117 ms 73.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:49:05.5679853Z triton_mm_159 0.0122 ms 70.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:49:05.5681091Z triton_mm_156 0.0126 ms 68.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:49:05.5681891Z SingleProcess AUTOTUNE benchmarking takes 0.3044 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T08:49:14.2795188Z W0907 08:49:14.278000 24842 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:49:21.9817195Z pass 2025-09-07T08:49:26.1040037Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:49:26.1041567Z import pynvml # type: ignore[import] 2025-09-07T08:49:28.6083000Z 2025-09-07T08:49:30.0976777Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:49:30.0977181Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:49:30.0977504Z cuda train functorch_maml_omniglot 2025-09-07T08:49:36.5970852Z Autotune Choices Stats: 2025-09-07T08:49:36.5972835Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_0", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4", "best_time": 0.007968000136315823, "best_triton_pos": 0} 2025-09-07T08:49:36.6034822Z AUTOTUNE convolution(5x1x28x28, 64x1x3x3) 2025-09-07T08:49:36.6035165Z strides: [784, 784, 28, 1], [9, 9, 3, 1] 2025-09-07T08:49:36.6035474Z dtypes: torch.float16, torch.float16 2025-09-07T08:49:36.6036307Z triton_convolution2d_0 0.0080 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:49:36.6037649Z triton_convolution2d_4 0.0081 ms 98.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:49:36.6038480Z convolution 0.0082 ms 97.6% 2025-09-07T08:49:36.6039288Z triton_convolution2d_3 0.0083 ms 96.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:49:36.6040850Z triton_convolution2d_5 0.0095 ms 83.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:49:36.6042207Z triton_convolution2d_1 0.0107 ms 74.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:49:36.6043550Z triton_convolution2d_2 0.0120 ms 66.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T08:49:36.6044620Z SingleProcess AUTOTUNE benchmarking takes 0.0836 seconds and 0.3303 seconds precompiling for 7 choices 2025-09-07T08:49:37.2498842Z Autotune Choices Stats: 2025-09-07T08:49:37.2500062Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_11", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.01583999954164028, "best_triton_pos": 0} 2025-09-07T08:49:37.5087052Z AUTOTUNE convolution(5x64x13x13, 64x64x3x3) 2025-09-07T08:49:37.5087442Z strides: [10816, 169, 13, 1], [576, 9, 3, 1] 2025-09-07T08:49:37.5087768Z dtypes: torch.float16, torch.float16 2025-09-07T08:49:37.5088556Z triton_convolution2d_11 0.0158 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:49:37.5089857Z triton_convolution2d_10 0.0166 ms 95.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:49:37.5091412Z triton_convolution2d_9 0.0171 ms 92.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:49:37.5092165Z convolution 0.0193 ms 82.0% 2025-09-07T08:49:37.5092906Z triton_convolution2d_6 0.0204 ms 77.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:49:37.5094112Z triton_convolution2d_12 0.0217 ms 73.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:49:37.5095935Z triton_convolution2d_7 0.0291 ms 54.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:49:37.5097444Z triton_convolution2d_8 0.0534 ms 29.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T08:49:37.5098425Z SingleProcess AUTOTUNE benchmarking takes 0.3583 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T08:49:38.3017855Z Autotune Choices Stats: 2025-09-07T08:49:38.3019065Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_17", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4", "best_time": 0.01539199985563755, "best_triton_pos": 0} 2025-09-07T08:49:38.6545130Z AUTOTUNE convolution(5x64x5x5, 64x64x3x3) 2025-09-07T08:49:38.6545459Z strides: [1600, 25, 5, 1], [576, 9, 3, 1] 2025-09-07T08:49:38.6545754Z dtypes: torch.float16, torch.float16 2025-09-07T08:49:38.6546578Z triton_convolution2d_17 0.0154 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:49:38.6547843Z triton_convolution2d_18 0.0156 ms 99.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:49:38.6549069Z triton_convolution2d_16 0.0169 ms 90.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T08:49:38.6550952Z triton_convolution2d_15 0.0176 ms 87.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T08:49:38.6551740Z convolution 0.0190 ms 80.8% 2025-09-07T08:49:38.6552481Z triton_convolution2d_13 0.0194 ms 79.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:49:38.6553722Z triton_convolution2d_14 0.0209 ms 73.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T08:49:38.6554695Z SingleProcess AUTOTUNE benchmarking takes 0.4408 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T08:49:40.0557150Z Autotune Choices Stats: 2025-09-07T08:49:40.0558223Z {"num_choices": 12, "num_triton_choices": 10, "best_kernel": "triton_mm_20", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1", "best_time": 0.005824000108987093, "best_triton_pos": 0} 2025-09-07T08:49:40.1324342Z AUTOTUNE addmm(5x5, 5x64, 64x5) 2025-09-07T08:49:40.1324611Z strides: [0, 1], [64, 1], [1, 64] 2025-09-07T08:49:40.1324881Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:49:40.1325481Z triton_mm_20 0.0058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T08:49:40.1326331Z triton_mm_25 0.0059 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T08:49:40.1327785Z triton_mm_22 0.0059 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T08:49:40.1328854Z triton_mm_28 0.0059 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T08:49:40.1329683Z triton_mm_27 0.0061 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T08:49:40.1331015Z triton_mm_21 0.0061 ms 94.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T08:49:40.1331906Z triton_mm_26 0.0061 ms 94.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T08:49:40.1332814Z triton_mm_24 0.0065 ms 89.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T08:49:40.1333713Z triton_mm_19 0.0068 ms 86.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-07T08:49:40.1334609Z triton_mm_23 0.0068 ms 86.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T08:49:40.1335390Z SingleProcess AUTOTUNE benchmarking takes 0.2379 seconds and 0.0002 seconds precompiling for 12 choices 2025-09-07T08:49:46.3069535Z Autotune Choices Stats: 2025-09-07T08:49:46.3071067Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_mm_40", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.005439999978989363, "best_triton_pos": 0} 2025-09-07T08:49:46.3664784Z AUTOTUNE mm(5x5, 5x64) 2025-09-07T08:49:46.3665063Z strides: [1, 5], [64, 1] 2025-09-07T08:49:46.3665357Z dtypes: torch.float16, torch.float16 2025-09-07T08:49:46.3666035Z triton_mm_40 0.0054 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:49:46.3667059Z triton_mm_41 0.0054 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:49:46.3668040Z triton_mm_42 0.0054 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:49:46.3669008Z triton_mm_38 0.0055 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:49:46.3669987Z triton_mm_37 0.0056 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:49:46.3671191Z triton_mm_39 0.0056 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:49:46.3672312Z triton_mm_36 0.0056 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T08:49:46.3672918Z mm 0.0066 ms 82.5% 2025-09-07T08:49:46.3673354Z SingleProcess AUTOTUNE benchmarking takes 0.1354 seconds and 0.0003 seconds precompiling for 8 choices 2025-09-07T08:49:47.6107212Z Autotune Choices Stats: 2025-09-07T08:49:47.6291133Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_mm_34", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.005439999978989363, "best_triton_pos": 0} 2025-09-07T08:49:47.7741502Z AUTOTUNE mm(5x5, 5x64) 2025-09-07T08:49:47.7742165Z strides: [5, 1], [64, 1] 2025-09-07T08:49:47.7742467Z dtypes: torch.float16, torch.float16 2025-09-07T08:49:47.7743275Z triton_mm_34 0.0054 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:49:47.7744340Z triton_mm_31 0.0055 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:49:47.7745337Z triton_mm_33 0.0055 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:49:47.7746339Z triton_mm_35 0.0055 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:49:47.7747321Z triton_mm_30 0.0056 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:49:47.7748282Z triton_mm_32 0.0056 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:49:47.7749245Z triton_mm_29 0.0057 ms 96.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T08:49:47.7749855Z mm 0.0071 ms 76.2% 2025-09-07T08:49:47.7750528Z SingleProcess AUTOTUNE benchmarking takes 0.2370 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T08:49:50.8018326Z W0907 08:49:50.801000 27950 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:49:52.6557193Z pass 2025-09-07T08:49:55.0814197Z accuracy pass_rate=100.00% 2025-09-07T08:49:55.0825557Z calls_captured gmean=168.07x mean=234.200x 2025-09-07T08:49:55.0829314Z unique_graphs gmean=3.63x mean=4.000x 2025-09-07T08:49:55.0832615Z graph_breaks gmean=7.29x mean=7.400x 2025-09-07T08:49:55.0835771Z unique_graph_breaks gmean=5.19x mean=5.200x 2025-09-07T08:49:55.0838945Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:49:55.0842303Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:49:55.0845395Z cudagraph_skips gmean=0.00x mean=0.400x 2025-09-07T08:49:55.0846433Z compilation_latency mean=32.729 seconds 2025-09-07T08:49:55.9630712Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *cudagraphs_low_precision-true* ]] 2025-09-07T08:49:55.9631980Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T08:49:55.9632223Z + for target in "${targets[@]}" 2025-09-07T08:49:55.9632459Z + target_flag=('--performance') 2025-09-07T08:49:55.9632681Z + local target_flag 2025-09-07T08:49:55.9632883Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T08:49:55.9633149Z + target_flag+=(--cold-start-latency) 2025-09-07T08:49:55.9634201Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freezing-true* ]] 2025-09-07T08:49:55.9636337Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *default-true* ]] 2025-09-07T08:49:55.9639636Z + python benchmarks/dynamo/torchbench.py --performance --cold-start-latency --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 9 --partition-id 2 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance.csv 2025-09-07T08:49:56.4899180Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:49:56.4900531Z import pynvml # type: ignore[import] 2025-09-07T08:50:00.2328224Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:50:00.2330759Z import pynvml # type: ignore[import] 2025-09-07T08:50:02.7182211Z 2025-09-07T08:50:02.9695614Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc' 2025-09-07T08:50:02.9696165Z what(): std::bad_alloc 2025-09-07T08:50:03.1906182Z Run failed with return code: -6 2025-09-07T08:50:03.1906518Z Output: None 2025-09-07T08:50:03.1906756Z Error: None 2025-09-07T08:50:03.7353381Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:50:03.7354671Z import pynvml # type: ignore[import] 2025-09-07T08:50:06.2144952Z 2025-09-07T08:50:14.4441436Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:50:14.4441841Z loading model: 0it [00:08, ?it/s] 2025-09-07T08:50:14.4442145Z cuda train dlrm 2025-09-07T08:50:28.0140573Z 2025-09-07T08:50:28.1211668Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T08:50:49.8242589Z 2025-09-07T08:50:49.9293066Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T08:52:21.8862282Z 2025-09-07T08:52:22.0040737Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T08:52:44.1078955Z 2025-09-07T08:52:44.2117390Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T08:53:37.6415287Z 2025-09-07T08:53:37.7444500Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T08:55:04.0032529Z 2025-09-07T08:55:04.1167183Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T08:55:24.3819764Z 2025-09-07T08:55:24.4857389Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T08:56:12.9219695Z 2025-09-07T08:56:13.0262831Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T08:57:43.9633209Z 2025-09-07T08:57:44.0765738Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T08:58:04.6703346Z 2025-09-07T08:58:04.7723957Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T08:59:11.7634753Z 2025-09-07T08:59:11.8694988Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:01:33.2050795Z 2025-09-07T09:01:33.3166755Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:02:04.8121053Z 2025-09-07T09:02:04.9162662Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:03:45.4303407Z 2025-09-07T09:03:45.5345029Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:06:15.7719085Z 2025-09-07T09:06:15.8866680Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:06:45.7992703Z 2025-09-07T09:06:45.9001585Z running benchmark: 0% 0/30 [00:00 2025-09-07T09:22:23.6976649Z 2025-09-07T09:22:23.6976990Z For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0007.html 2025-09-07T09:22:23.6977395Z 2025-09-07T09:22:23.6977469Z from user code: 2025-09-07T09:22:23.6977964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 219, in forward 2025-09-07T09:22:23.6978594Z def _postprocess(prob_map: torch.Tensor) -> list[dict[str, Any]]: 2025-09-07T09:22:23.6978826Z 2025-09-07T09:22:23.6979239Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-09-07T09:22:23.6979735Z 2025-09-07T09:22:23.6979892Z TorchDynamo optimized model failed to run because of following error 2025-09-07T09:22:23.7272061Z fail_to_run 2025-09-07T09:22:25.4206666Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:22:25.4211765Z import pynvml # type: ignore[import] 2025-09-07T09:22:27.8606880Z 2025-09-07T09:22:30.8948368Z loading model: 0it [00:00, ?it/s]WARNING:common:Model doctr_reco_predictor does not support bfloat16, running with amp instead 2025-09-07T09:22:31.1616720Z 2025-09-07T09:22:31.1616935Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:22:31.1617844Z WARNING:common:Model doctr_reco_predictor does not support bfloat16, running with amp instead 2025-09-07T09:22:31.1618370Z cuda eval doctr_reco_predictor 2025-09-07T09:22:31.2371445Z WARNING:common:Model doctr_reco_predictor does not support bfloat16, running with amp instead 2025-09-07T09:22:32.0267907Z ERROR:common: 2025-09-07T09:22:32.0268313Z Traceback (most recent call last): 2025-09-07T09:22:32.0269118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2320, in check_accuracy 2025-09-07T09:22:32.0269944Z optimized_model_iter_fn = optimize_ctx( 2025-09-07T09:22:32.0271118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1523, in export 2025-09-07T09:22:32.0271861Z ep = torch.export.export( 2025-09-07T09:22:32.0272677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py", line 311, in export 2025-09-07T09:22:32.0273490Z raise e 2025-09-07T09:22:32.0274166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py", line 277, in export 2025-09-07T09:22:32.0274938Z return _export( 2025-09-07T09:22:32.0275744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 1163, in wrapper 2025-09-07T09:22:32.0276549Z raise e 2025-09-07T09:22:32.0276945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 1129, in wrapper 2025-09-07T09:22:32.0277423Z ep = fn(*args, **kwargs) 2025-09-07T09:22:32.0277934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/exported_program.py", line 124, in wrapper 2025-09-07T09:22:32.0278462Z return fn(*args, **kwargs) 2025-09-07T09:22:32.0278926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 2255, in _export 2025-09-07T09:22:32.0279411Z ep = _export_for_training( 2025-09-07T09:22:32.0279861Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 1163, in wrapper 2025-09-07T09:22:32.0280455Z raise e 2025-09-07T09:22:32.0280853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 1129, in wrapper 2025-09-07T09:22:32.0281333Z ep = fn(*args, **kwargs) 2025-09-07T09:22:32.0281859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/exported_program.py", line 124, in wrapper 2025-09-07T09:22:32.0282389Z return fn(*args, **kwargs) 2025-09-07T09:22:32.0282897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 2071, in _export_for_training 2025-09-07T09:22:32.0283449Z export_artifact = export_func( 2025-09-07T09:22:32.0283947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 1415, in _strict_export 2025-09-07T09:22:32.0284479Z gm_torch_level = _export_to_torch_ir( 2025-09-07T09:22:32.0285012Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 812, in _export_to_torch_ir 2025-09-07T09:22:32.0285571Z gm_torch_level, _ = torch._dynamo.export( 2025-09-07T09:22:32.0286092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 2002, in inner 2025-09-07T09:22:32.0286959Z result_traced = opt_f(*args, **kwargs) 2025-09-07T09:22:32.0287377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 414, in __call__ 2025-09-07T09:22:32.0287803Z return super().__call__(*args, **kwargs) 2025-09-07T09:22:32.0288475Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:22:32.0288944Z return self._call_impl(*args, **kwargs) 2025-09-07T09:22:32.0289368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:22:32.0289794Z return forward_call(*args, **kwargs) 2025-09-07T09:22:32.0290355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 841, in compile_wrapper 2025-09-07T09:22:32.0290869Z raise e.with_traceback(None) from e.__cause__ # User compiler error 2025-09-07T09:22:32.0291259Z torch._dynamo.exc.Unsupported: Attempted to call function marked as skipped 2025-09-07T09:22:32.0292025Z Explanation: Dynamo developers have intentionally marked that the function `disable` in file `/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py` should not be traced. 2025-09-07T09:22:32.0292692Z Hint: Avoid calling the function `disable`. 2025-09-07T09:22:32.0293305Z Hint: Apply `@torch._dynamo.dont_skip_tracing` to the function `disable` to force tracing into the function. More graph breaks may occur as a result of attempting to trace into the function. 2025-09-07T09:22:32.0293915Z Hint: Please file an issue to PyTorch. 2025-09-07T09:22:32.0294066Z 2025-09-07T09:22:32.0294302Z Developer debug context: module: torch.compiler, qualname: disable, skip reason: 2025-09-07T09:22:32.0294624Z 2025-09-07T09:22:32.0294956Z For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0007.html 2025-09-07T09:22:32.0295365Z 2025-09-07T09:22:32.0295434Z from user code: 2025-09-07T09:22:32.0295870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 227, in forward 2025-09-07T09:22:32.0296416Z def _postprocess(logits: torch.Tensor) -> list[tuple[str, float]]: 2025-09-07T09:22:32.0296639Z 2025-09-07T09:22:32.0297075Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-09-07T09:22:32.0297567Z 2025-09-07T09:22:32.0297724Z TorchDynamo optimized model failed to run because of following error 2025-09-07T09:22:32.0478703Z fail_to_run 2025-09-07T09:22:33.7101548Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:22:33.7102717Z import pynvml # type: ignore[import] 2025-09-07T09:22:36.2725321Z 2025-09-07T09:22:36.3343877Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality. 2025-09-07T09:22:36.3344802Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade. 2025-09-07T09:22:36.3345641Z Users of this version of Gym should be able to simply replace 'import gym' with 'import gymnasium as gym' in the vast majority of cases. 2025-09-07T09:22:36.3346447Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information. 2025-09-07T09:22:37.9389053Z 2025-09-07T09:22:37.9389386Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:22:37.9396278Z cuda eval drq 2025-09-07T09:22:41.0876611Z pass 2025-09-07T09:22:42.6975619Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:22:42.6977214Z import pynvml # type: ignore[import] 2025-09-07T09:22:45.2377522Z 2025-09-07T09:22:47.0372616Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:22:47.0373230Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:22:47.0373575Z cuda eval fastNLP_Bert 2025-09-07T09:22:47.3475928Z ERROR:common: 2025-09-07T09:22:47.3476298Z Traceback (most recent call last): 2025-09-07T09:22:47.3476792Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2320, in check_accuracy 2025-09-07T09:22:47.3477313Z optimized_model_iter_fn = optimize_ctx( 2025-09-07T09:22:47.3477765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1523, in export 2025-09-07T09:22:47.3478212Z ep = torch.export.export( 2025-09-07T09:22:47.3478728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py", line 311, in export 2025-09-07T09:22:47.3479208Z raise e 2025-09-07T09:22:47.3479614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py", line 277, in export 2025-09-07T09:22:47.3480108Z return _export( 2025-09-07T09:22:47.3480889Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 1163, in wrapper 2025-09-07T09:22:47.3481348Z raise e 2025-09-07T09:22:47.3481723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 1129, in wrapper 2025-09-07T09:22:47.3482169Z ep = fn(*args, **kwargs) 2025-09-07T09:22:47.3482633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/exported_program.py", line 124, in wrapper 2025-09-07T09:22:47.3483139Z return fn(*args, **kwargs) 2025-09-07T09:22:47.3483565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 2255, in _export 2025-09-07T09:22:47.3484022Z ep = _export_for_training( 2025-09-07T09:22:47.3484458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 1163, in wrapper 2025-09-07T09:22:47.3484896Z raise e 2025-09-07T09:22:47.3485292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 1129, in wrapper 2025-09-07T09:22:47.3485742Z ep = fn(*args, **kwargs) 2025-09-07T09:22:47.3486200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/exported_program.py", line 124, in wrapper 2025-09-07T09:22:47.3486688Z return fn(*args, **kwargs) 2025-09-07T09:22:47.3487156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 2071, in _export_for_training 2025-09-07T09:22:47.3487664Z export_artifact = export_func( 2025-09-07T09:22:47.3488124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 1415, in _strict_export 2025-09-07T09:22:47.3488617Z gm_torch_level = _export_to_torch_ir( 2025-09-07T09:22:47.3489108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 812, in _export_to_torch_ir 2025-09-07T09:22:47.3489619Z gm_torch_level, _ = torch._dynamo.export( 2025-09-07T09:22:47.3490105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 2002, in inner 2025-09-07T09:22:47.3490711Z result_traced = opt_f(*args, **kwargs) 2025-09-07T09:22:47.3491154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 414, in __call__ 2025-09-07T09:22:47.3491581Z return super().__call__(*args, **kwargs) 2025-09-07T09:22:47.3492052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:22:47.3492509Z return self._call_impl(*args, **kwargs) 2025-09-07T09:22:47.3492932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:22:47.3843458Z return forward_call(*args, **kwargs) 2025-09-07T09:22:47.3844041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 841, in compile_wrapper 2025-09-07T09:22:47.3864747Z raise e.with_traceback(None) from e.__cause__ # User compiler error 2025-09-07T09:22:47.3865641Z torch._dynamo.exc.UserError: Consider annotating your code using torch._check*(). Could not guard on data-dependent expression u0 + 2 > 512 (unhinted: u0 + 2 > 512). (Size-like symbols: none) 2025-09-07T09:22:47.3866303Z 2025-09-07T09:22:47.3867187Z consider using data-dependent friendly APIs such as guard_or_false, guard_or_true and statically_known_trueCaused by: if max_word_piece_length + 2 > self._max_position_embeddings: # fastNLP/embeddings/bert_embedding.py:446 in forward (_dynamo/variables/tensor.py:1435 in evaluate_expr) 2025-09-07T09:22:47.3868314Z For more information, run with TORCH_LOGS="dynamic" 2025-09-07T09:22:47.3868827Z For extended logs when we create symbols, also add TORCHDYNAMO_EXTENDED_DEBUG_CREATE_SYMBOL="u0" 2025-09-07T09:22:47.3869424Z If you suspect the guard was triggered from C++, add TORCHDYNAMO_EXTENDED_DEBUG_CPP=1 2025-09-07T09:22:47.3870461Z For more debugging help, see https://docs.google.com/document/d/1HSuTTVvYH1pTew89Rtpeu84Ht3nQEFTYhAX3Ypa_xJs/edit?usp=sharing 2025-09-07T09:22:47.3870944Z 2025-09-07T09:22:47.3871033Z User Stack (most recent call last): 2025-09-07T09:22:47.3871289Z (snipped, see stack below for prefix) 2025-09-07T09:22:47.3871768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/models/bert.py", line 265, in forward 2025-09-07T09:22:47.3872232Z sequence_output = self.bert(words) 2025-09-07T09:22:47.3872708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:22:47.3873201Z return forward_call(*args, **kwargs) 2025-09-07T09:22:47.3873727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 137, in forward 2025-09-07T09:22:47.3874235Z outputs = self.model(words) 2025-09-07T09:22:47.3874691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:22:47.3875180Z return forward_call(*args, **kwargs) 2025-09-07T09:22:47.3875689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 446, in forward 2025-09-07T09:22:47.3876259Z if max_word_piece_length + 2 > self._max_position_embeddings: 2025-09-07T09:22:47.3876489Z 2025-09-07T09:22:47.3876652Z For C++ stack trace, run with TORCHDYNAMO_EXTENDED_DEBUG_CPP=1 2025-09-07T09:22:47.3877270Z For more information about this error, see: https://pytorch.org/docs/main/generated/exportdb/index.html#constrain-as-size-example 2025-09-07T09:22:47.3877736Z 2025-09-07T09:22:47.3877813Z from user code: 2025-09-07T09:22:47.3878202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/models/bert.py", line 265, in forward 2025-09-07T09:22:47.3878670Z sequence_output = self.bert(words) 2025-09-07T09:22:47.3879149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:22:47.3879643Z return forward_call(*args, **kwargs) 2025-09-07T09:22:47.3880146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 137, in forward 2025-09-07T09:22:47.3880795Z outputs = self.model(words) 2025-09-07T09:22:47.3881242Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:22:47.3881665Z return forward_call(*args, **kwargs) 2025-09-07T09:22:47.3882098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 446, in forward 2025-09-07T09:22:47.3882581Z if max_word_piece_length + 2 > self._max_position_embeddings: 2025-09-07T09:22:47.3882948Z 2025-09-07T09:22:47.3883385Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-09-07T09:22:47.3883878Z 2025-09-07T09:22:47.3883881Z 2025-09-07T09:22:47.3884606Z The error above occurred when calling torch.export.export. If you would like to view some more information about this error, and get a list of all other errors that may occur in your export call, you can replace your `export()` call with `draft_export()`. 2025-09-07T09:22:47.3885441Z TorchDynamo optimized model failed to run because of following error 2025-09-07T09:22:47.4346903Z fail_to_run 2025-09-07T09:22:49.0201021Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:22:49.0202091Z import pynvml # type: ignore[import] 2025-09-07T09:22:51.5641385Z 2025-09-07T09:22:52.5483801Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:22:52.5484182Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:22:52.5503556Z cuda eval functorch_dp_cifar10 2025-09-07T09:22:56.1028413Z pass 2025-09-07T09:22:57.7000878Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:22:57.7001969Z import pynvml # type: ignore[import] 2025-09-07T09:23:00.3014158Z 2025-09-07T09:23:00.9308729Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:23:00.9309093Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:23:00.9314698Z cuda eval functorch_maml_omniglot 2025-09-07T09:23:03.9424700Z pass 2025-09-07T09:23:04.9880471Z accuracy pass_rate=57.14% 2025-09-07T09:23:04.9886404Z calls_captured gmean=0.00x mean=21.143x 2025-09-07T09:23:04.9889841Z unique_graphs gmean=0.00x mean=0.571x 2025-09-07T09:23:04.9893444Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T09:23:04.9896670Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T09:23:04.9899862Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:23:04.9903472Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:23:04.9906722Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:23:04.9907773Z compilation_latency mean=1.859 seconds 2025-09-07T09:23:05.9071520Z + python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --inference --bfloat16 --export-aot-inductor --disable-cudagraphs --device cuda --total-partitions 9 --partition-id 2 --output /var/lib/jenkins/workspace/test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_accuracy.csv 2025-09-07T09:23:06.3995793Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:23:06.3996905Z import pynvml # type: ignore[import] 2025-09-07T09:23:10.1999760Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:23:10.2000956Z import pynvml # type: ignore[import] 2025-09-07T09:23:12.6544909Z 2025-09-07T09:23:12.9098997Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc' 2025-09-07T09:23:12.9099521Z what(): std::bad_alloc 2025-09-07T09:23:13.1273672Z Run failed with return code: -6 2025-09-07T09:23:13.1273990Z Output: None 2025-09-07T09:23:13.1274190Z Error: None 2025-09-07T09:23:13.6130006Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:23:13.6131620Z import pynvml # type: ignore[import] 2025-09-07T09:23:16.0921560Z 2025-09-07T09:23:16.3499525Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc' 2025-09-07T09:23:16.3500074Z what(): std::bad_alloc 2025-09-07T09:23:16.5465685Z Run failed with return code: -6 2025-09-07T09:23:16.5465985Z Output: None 2025-09-07T09:23:16.5466163Z Error: None 2025-09-07T09:23:17.0409307Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:23:17.0410469Z import pynvml # type: ignore[import] 2025-09-07T09:23:19.5773709Z 2025-09-07T09:23:19.8297738Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc' 2025-09-07T09:23:19.8298270Z what(): std::bad_alloc 2025-09-07T09:23:20.0659969Z Run failed with return code: -6 2025-09-07T09:23:20.0660544Z Output: None 2025-09-07T09:23:20.0660728Z Error: None 2025-09-07T09:23:20.5628092Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:23:20.5629089Z import pynvml # type: ignore[import] 2025-09-07T09:23:23.1192590Z 2025-09-07T09:23:23.3747971Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc' 2025-09-07T09:23:23.3748486Z what(): std::bad_alloc 2025-09-07T09:23:23.5858037Z Run failed with return code: -6 2025-09-07T09:23:23.5858497Z Output: None 2025-09-07T09:23:23.5858805Z Error: None 2025-09-07T09:23:24.0801836Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:23:24.0802848Z import pynvml # type: ignore[import] 2025-09-07T09:23:26.7615498Z 2025-09-07T09:23:33.7563298Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:23:33.7563681Z loading model: 0it [00:06, ?it/s] 2025-09-07T09:23:33.7570150Z cuda eval dlrm 2025-09-07T09:23:59.8158987Z pass 2025-09-07T09:24:03.0590047Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:24:03.0620770Z import pynvml # type: ignore[import] 2025-09-07T09:24:05.5194002Z 2025-09-07T09:24:06.4951473Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:24:06.4951851Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:24:06.4970680Z cuda eval functorch_dp_cifar10 2025-09-07T09:24:18.8601938Z pass 2025-09-07T09:24:21.6568343Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:24:21.6569576Z import pynvml # type: ignore[import] 2025-09-07T09:24:24.1077746Z 2025-09-07T09:24:24.7276255Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:24:24.7276602Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:24:24.7282426Z cuda eval functorch_maml_omniglot 2025-09-07T09:24:35.1910902Z pass 2025-09-07T09:24:37.5111245Z accuracy pass_rate=100.00% 2025-09-07T09:24:37.5116297Z calls_captured gmean=0.00x mean=0.000x 2025-09-07T09:24:37.5120477Z unique_graphs gmean=0.00x mean=0.000x 2025-09-07T09:24:37.5123368Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T09:24:37.5126610Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T09:24:37.5129824Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:24:37.5133390Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:24:37.5136479Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:24:37.5137273Z compilation_latency mean=0.000 seconds 2025-09-07T09:24:38.5293705Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *maxautotune-true* ]] 2025-09-07T09:24:38.5295049Z + TORCHINDUCTOR_MAX_AUTOTUNE=1 2025-09-07T09:24:38.5296340Z + python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --inference --bfloat16 --backend inductor --device cuda --total-partitions 9 --partition-id 2 --output /var/lib/jenkins/workspace/test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.csv 2025-09-07T09:24:39.0301399Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:24:39.0302434Z import pynvml # type: ignore[import] 2025-09-07T09:24:43.1436437Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:24:43.1437544Z import pynvml # type: ignore[import] 2025-09-07T09:24:45.7896874Z 2025-09-07T09:24:46.0435382Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc' 2025-09-07T09:24:46.0435889Z what(): std::bad_alloc 2025-09-07T09:24:46.2693886Z Run failed with return code: -6 2025-09-07T09:24:46.2694234Z Output: None 2025-09-07T09:24:46.2694446Z Error: None 2025-09-07T09:24:46.7655835Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:24:46.7656859Z import pynvml # type: ignore[import] 2025-09-07T09:24:49.2199652Z 2025-09-07T09:24:49.4759939Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc' 2025-09-07T09:24:49.4760773Z what(): std::bad_alloc 2025-09-07T09:24:49.6886102Z Run failed with return code: -6 2025-09-07T09:24:49.6886493Z Output: None 2025-09-07T09:24:49.6886747Z Error: None 2025-09-07T09:24:50.1793304Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:24:50.1794377Z import pynvml # type: ignore[import] 2025-09-07T09:24:52.6247836Z 2025-09-07T09:24:52.8743435Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc' 2025-09-07T09:24:52.8743944Z what(): std::bad_alloc 2025-09-07T09:24:53.1082788Z Run failed with return code: -6 2025-09-07T09:24:53.2084254Z Output: None 2025-09-07T09:24:53.2084437Z Error: None 2025-09-07T09:24:53.6032616Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:24:53.6034031Z import pynvml # type: ignore[import] 2025-09-07T09:24:56.0644107Z 2025-09-07T09:24:56.3209278Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc' 2025-09-07T09:24:56.3209792Z what(): std::bad_alloc 2025-09-07T09:24:56.5278878Z Run failed with return code: -6 2025-09-07T09:24:56.5279275Z Output: None 2025-09-07T09:24:56.5279525Z Error: None 2025-09-07T09:24:57.0242747Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:24:57.0243815Z import pynvml # type: ignore[import] 2025-09-07T09:24:59.6581423Z 2025-09-07T09:25:06.7381674Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:25:06.7382046Z loading model: 0it [00:07, ?it/s] 2025-09-07T09:25:06.7388707Z cuda eval dlrm 2025-09-07T09:25:11.9442562Z pass 2025-09-07T09:25:14.6303079Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:25:14.6304122Z import pynvml # type: ignore[import] 2025-09-07T09:25:17.1690773Z 2025-09-07T09:25:20.2035760Z loading model: 0it [00:00, ?it/s]WARNING:common:Model doctr_det_predictor does not support bfloat16, running with amp instead 2025-09-07T09:25:20.6094090Z 2025-09-07T09:25:20.6094233Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:25:20.6095285Z WARNING:common:Model doctr_det_predictor does not support bfloat16, running with amp instead 2025-09-07T09:25:20.6095752Z cuda eval doctr_det_predictor 2025-09-07T09:25:20.9874888Z WARNING:common:Model doctr_det_predictor does not support bfloat16, running with amp instead 2025-09-07T09:25:38.9638016Z Autotune Choices Stats: 2025-09-07T09:25:38.9639103Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_66", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.06294400244951248, "best_triton_pos": 0} 2025-09-07T09:25:38.9759019Z AUTOTUNE mm(262144x64, 64x256) 2025-09-07T09:25:38.9759439Z strides: [64, 1], [1, 64] 2025-09-07T09:25:38.9759929Z dtypes: torch.float16, torch.float16 2025-09-07T09:25:38.9761317Z triton_mm_66 0.0629 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:38.9763003Z triton_mm_62 0.0630 ms 99.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:25:38.9764572Z triton_mm_61 0.0631 ms 99.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:38.9766117Z triton_mm_59 0.0660 ms 95.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:38.9767642Z triton_mm_58 0.0661 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:25:38.9769630Z mm 0.0665 ms 94.7% 2025-09-07T09:25:38.9770367Z triton_mm_63 0.0670 ms 94.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:38.9771541Z triton_mm_68 0.0715 ms 88.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:25:38.9772475Z triton_mm_67 0.0722 ms 87.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:38.9773379Z triton_mm_64 0.0752 ms 83.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:38.9774169Z SingleProcess AUTOTUNE benchmarking takes 0.3815 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:25:40.6831503Z Autotune Choices Stats: 2025-09-07T09:25:40.6832850Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.10339199751615524, "best_triton_pos": 1, "best_triton_time": 0.11494400352239609, "best_triton_kernel": "triton_mm_837", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:25:40.6989818Z AUTOTUNE mm(262144x256, 256x256) 2025-09-07T09:25:40.6990140Z strides: [256, 1], [1, 256] 2025-09-07T09:25:40.6990527Z dtypes: torch.float16, torch.float16 2025-09-07T09:25:40.6990812Z mm 0.1034 ms 100.0% 2025-09-07T09:25:40.6991429Z triton_mm_837 0.1149 ms 89.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:40.6992438Z triton_mm_836 0.1215 ms 85.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:40.6993451Z triton_mm_831 0.1276 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:40.6994435Z triton_mm_838 0.1398 ms 74.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:25:40.6995418Z triton_mm_834 0.1412 ms 73.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:40.6996391Z triton_mm_830 0.1422 ms 72.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:40.6997363Z triton_mm_833 0.1423 ms 72.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:40.6998339Z triton_mm_829 0.1444 ms 71.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:40.6999310Z triton_mm_827 0.1541 ms 67.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:25:40.7000176Z SingleProcess AUTOTUNE benchmarking takes 0.5621 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:25:43.7157609Z Autotune Choices Stats: 2025-09-07T09:25:43.7158667Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_174", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.07593599706888199, "best_triton_pos": 0} 2025-09-07T09:25:43.7555543Z AUTOTUNE mm(262144x256, 256x128) 2025-09-07T09:25:43.7555848Z strides: [256, 1], [1, 256] 2025-09-07T09:25:43.7556103Z dtypes: torch.float16, torch.float16 2025-09-07T09:25:43.7557225Z triton_mm_174 0.0759 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:43.7558263Z triton_mm_168 0.0764 ms 99.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:43.7558887Z mm 0.0799 ms 95.0% 2025-09-07T09:25:43.7559487Z triton_mm_175 0.0828 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:25:43.7560683Z triton_mm_173 0.0833 ms 91.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:43.7561698Z triton_mm_167 0.0868 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:43.7562617Z triton_mm_166 0.0878 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:43.7563510Z triton_mm_164 0.0886 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:25:43.7564408Z triton_mm_170 0.0909 ms 83.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:43.7565300Z triton_mm_171 0.0917 ms 82.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:43.7566093Z SingleProcess AUTOTUNE benchmarking takes 0.4646 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:25:44.3843273Z Autotune Choices Stats: 2025-09-07T09:25:44.3844612Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.038943998515605927, "best_triton_pos": 1, "best_triton_time": 0.04297599941492081, "best_triton_kernel": "triton_mm_251", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:25:44.4175695Z AUTOTUNE mm(65536x128, 128x512) 2025-09-07T09:25:44.4176024Z strides: [128, 1], [1, 128] 2025-09-07T09:25:44.4176292Z dtypes: torch.float16, torch.float16 2025-09-07T09:25:44.4176573Z mm 0.0389 ms 100.0% 2025-09-07T09:25:44.4177198Z triton_mm_251 0.0430 ms 90.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:44.4178222Z triton_mm_244 0.0465 ms 83.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:44.4179215Z triton_mm_248 0.0472 ms 82.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:44.4180184Z triton_mm_252 0.0476 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:44.4181637Z triton_mm_249 0.0500 ms 77.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:44.4182551Z triton_mm_245 0.0501 ms 77.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:44.4183905Z triton_mm_246 0.0503 ms 77.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:44.4184972Z triton_mm_247 0.0526 ms 74.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:25:44.4185888Z triton_mm_241 0.0546 ms 71.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:25:44.4186678Z SingleProcess AUTOTUNE benchmarking takes 0.3475 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:25:45.7072835Z Autotune Choices Stats: 2025-09-07T09:25:45.7074008Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_22", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.028224000707268715, "best_triton_pos": 0} 2025-09-07T09:25:45.7376203Z AUTOTUNE mm(262144x64, 64x64) 2025-09-07T09:25:45.7376681Z strides: [64, 1], [1, 64] 2025-09-07T09:25:45.7377102Z dtypes: torch.float16, torch.float16 2025-09-07T09:25:45.7378116Z triton_mm_22 0.0282 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:45.7379631Z triton_mm_23 0.0284 ms 99.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:25:45.7381807Z triton_mm_14 0.0299 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:25:45.7382889Z triton_mm_17 0.0299 ms 94.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:45.7383858Z triton_mm_18 0.0299 ms 94.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:25:45.7384809Z triton_mm_13 0.0301 ms 93.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:25:45.7385410Z mm 0.0303 ms 93.0% 2025-09-07T09:25:45.7385978Z triton_mm_19 0.0308 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:45.7386943Z triton_mm_20 0.0309 ms 91.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:45.7387908Z triton_mm_21 0.0319 ms 88.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T09:25:45.7388763Z SingleProcess AUTOTUNE benchmarking takes 0.2643 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:25:46.5831978Z Autotune Choices Stats: 2025-09-07T09:25:46.5833115Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_80", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.06505600363016129, "best_triton_pos": 0} 2025-09-07T09:25:46.6037296Z AUTOTUNE mm(262144x256, 256x64) 2025-09-07T09:25:46.6037568Z strides: [256, 1], [1, 256] 2025-09-07T09:25:46.6038524Z dtypes: torch.float16, torch.float16 2025-09-07T09:25:46.6039190Z triton_mm_80 0.0651 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:46.6040823Z triton_mm_76 0.0655 ms 99.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:25:46.6041847Z triton_mm_85 0.0659 ms 98.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:46.6042827Z triton_mm_86 0.0689 ms 94.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:25:46.6043435Z mm 0.0696 ms 93.5% 2025-09-07T09:25:46.6044009Z triton_mm_83 0.0749 ms 86.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:46.6044978Z triton_mm_79 0.0753 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:46.6045945Z triton_mm_82 0.0765 ms 85.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:46.6046899Z triton_mm_78 0.0788 ms 82.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:46.6047853Z triton_mm_84 0.0791 ms 82.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T09:25:46.6048695Z SingleProcess AUTOTUNE benchmarking takes 0.3572 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:25:47.0927284Z Autotune Choices Stats: 2025-09-07T09:25:47.0928764Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.04620800167322159, "best_triton_pos": 1, "best_triton_time": 0.05132799968123436, "best_triton_kernel": "triton_mm_361", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:25:47.1258546Z AUTOTUNE mm(65536x512, 512x256) 2025-09-07T09:25:47.1258825Z strides: [512, 1], [1, 512] 2025-09-07T09:25:47.1259098Z dtypes: torch.float16, torch.float16 2025-09-07T09:25:47.1259374Z mm 0.0462 ms 100.0% 2025-09-07T09:25:47.1259992Z triton_mm_361 0.0513 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:47.1261170Z triton_mm_355 0.0548 ms 84.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:47.1262153Z triton_mm_360 0.0562 ms 82.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:47.1263257Z triton_mm_362 0.0586 ms 78.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:25:47.1264252Z triton_mm_354 0.0661 ms 69.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:47.1265231Z triton_mm_353 0.0663 ms 69.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:47.1266714Z triton_mm_356 0.0676 ms 68.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:25:47.1267951Z triton_mm_351 0.0678 ms 68.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:25:47.1268948Z triton_mm_358 0.0682 ms 67.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:47.1269811Z SingleProcess AUTOTUNE benchmarking takes 0.4689 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:25:47.7304323Z Autotune Choices Stats: 2025-09-07T09:25:47.7305633Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.02643200010061264, "best_triton_pos": 1, "best_triton_time": 0.0307839997112751, "best_triton_kernel": "triton_mm_439", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:25:47.7646420Z AUTOTUNE mm(16384x256, 256x1024) 2025-09-07T09:25:47.7646744Z strides: [256, 1], [1, 256] 2025-09-07T09:25:47.7647013Z dtypes: torch.float16, torch.float16 2025-09-07T09:25:47.7647314Z mm 0.0264 ms 100.0% 2025-09-07T09:25:47.7647953Z triton_mm_439 0.0308 ms 85.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:47.7649026Z triton_mm_438 0.0315 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:47.7650081Z triton_mm_433 0.0332 ms 79.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:47.7651341Z triton_mm_436 0.0356 ms 74.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:47.7652432Z triton_mm_440 0.0361 ms 73.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:25:47.7653342Z triton_mm_432 0.0362 ms 73.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:47.7654257Z triton_mm_431 0.0363 ms 72.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:47.7655158Z triton_mm_435 0.0365 ms 72.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:47.7656071Z triton_mm_437 0.0404 ms 65.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T09:25:47.7656878Z SingleProcess AUTOTUNE benchmarking takes 0.3243 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:25:50.3046190Z Autotune Choices Stats: 2025-09-07T09:25:50.3047551Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.03999999910593033, "best_triton_pos": 1, "best_triton_time": 0.04025600105524063, "best_triton_kernel": "triton_mm_226", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:25:50.3202032Z AUTOTUNE mm(65536x512, 512x128) 2025-09-07T09:25:50.3202324Z strides: [512, 1], [1, 512] 2025-09-07T09:25:50.3203225Z dtypes: torch.float16, torch.float16 2025-09-07T09:25:50.3203561Z mm 0.0400 ms 100.0% 2025-09-07T09:25:50.3204234Z triton_mm_226 0.0403 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:50.3205662Z triton_mm_220 0.0404 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:50.3206737Z triton_mm_227 0.0423 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:25:50.3207805Z triton_mm_216 0.0443 ms 90.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:25:50.3208925Z triton_mm_221 0.0477 ms 83.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:25:50.3209995Z triton_mm_219 0.0482 ms 83.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:50.3211447Z triton_mm_218 0.0482 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:50.3212562Z triton_mm_225 0.0485 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:50.3213583Z triton_mm_223 0.0502 ms 79.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:50.3214437Z SingleProcess AUTOTUNE benchmarking takes 0.3116 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:25:51.2224870Z Autotune Choices Stats: 2025-09-07T09:25:51.2226222Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.03308799862861633, "best_triton_pos": 1, "best_triton_time": 0.03827200084924698, "best_triton_kernel": "triton_mm_638", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:25:51.2283971Z AUTOTUNE mm(16384x1024, 1024x512) 2025-09-07T09:25:51.2284259Z strides: [1024, 1], [1, 1024] 2025-09-07T09:25:51.2284541Z dtypes: torch.float16, torch.float16 2025-09-07T09:25:51.2284841Z mm 0.0331 ms 100.0% 2025-09-07T09:25:51.2285494Z triton_mm_638 0.0383 ms 86.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:51.2286552Z triton_mm_639 0.0418 ms 79.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:25:51.2287558Z triton_mm_632 0.0440 ms 75.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:51.2288563Z triton_mm_637 0.0481 ms 68.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:51.2289565Z triton_mm_633 0.0517 ms 63.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:25:51.2291001Z triton_mm_628 0.0551 ms 60.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:25:51.2292484Z triton_mm_631 0.0564 ms 58.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:51.2293743Z triton_mm_635 0.0578 ms 57.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:51.2294664Z triton_mm_630 0.0583 ms 56.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:51.2295454Z SingleProcess AUTOTUNE benchmarking takes 0.5531 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:25:51.8212265Z Autotune Choices Stats: 2025-09-07T09:25:51.8213646Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.021056000143289566, "best_triton_pos": 1, "best_triton_time": 0.022655999287962914, "best_triton_kernel": "triton_mm_716", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:25:51.8445057Z AUTOTUNE mm(4096x512, 512x2048) 2025-09-07T09:25:51.8445336Z strides: [512, 1], [1, 512] 2025-09-07T09:25:51.8445600Z dtypes: torch.float16, torch.float16 2025-09-07T09:25:51.8445882Z mm 0.0211 ms 100.0% 2025-09-07T09:25:51.8446549Z triton_mm_716 0.0227 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:51.8447592Z triton_mm_715 0.0255 ms 82.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:51.8448616Z triton_mm_717 0.0263 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:25:51.8449634Z triton_mm_710 0.0277 ms 76.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:51.8450977Z triton_mm_708 0.0318 ms 66.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:51.8451988Z triton_mm_709 0.0320 ms 65.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:51.8453118Z triton_mm_713 0.0322 ms 65.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:51.8454141Z triton_mm_712 0.0325 ms 64.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:51.8455133Z triton_mm_711 0.0334 ms 63.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:25:51.8456002Z SingleProcess AUTOTUNE benchmarking takes 0.2988 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:25:53.1512073Z Autotune Choices Stats: 2025-09-07T09:25:53.1513559Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.02457600086927414, "best_triton_pos": 1, "best_triton_time": 0.025919999927282333, "best_triton_kernel": "triton_mm_413", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:25:53.1833510Z AUTOTUNE mm(16384x1024, 1024x256) 2025-09-07T09:25:53.1834472Z strides: [1024, 1], [1, 1024] 2025-09-07T09:25:53.1834748Z dtypes: torch.float16, torch.float16 2025-09-07T09:25:53.1835014Z mm 0.0246 ms 100.0% 2025-09-07T09:25:53.1835615Z triton_mm_413 0.0259 ms 94.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:53.1836864Z triton_mm_414 0.0292 ms 84.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:25:53.1837856Z triton_mm_407 0.0320 ms 76.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:53.1838849Z triton_mm_408 0.0342 ms 71.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:25:53.1839814Z triton_mm_403 0.0342 ms 71.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:25:53.1841144Z triton_mm_412 0.0349 ms 70.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:53.1842119Z triton_mm_405 0.0357 ms 68.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:53.1843084Z triton_mm_409 0.0364 ms 67.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:53.1844034Z triton_mm_406 0.0366 ms 67.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:53.1844821Z SingleProcess AUTOTUNE benchmarking takes 0.3038 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:25:54.9660562Z Autotune Choices Stats: 2025-09-07T09:25:54.9661829Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.019807999953627586, "best_triton_pos": 1, "best_triton_time": 0.02208000048995018, "best_triton_kernel": "triton_mm_691", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T09:25:54.9735598Z AUTOTUNE mm(4096x2048, 2048x512) 2025-09-07T09:25:54.9735869Z strides: [2048, 1], [1, 2048] 2025-09-07T09:25:54.9736133Z dtypes: torch.float16, torch.float16 2025-09-07T09:25:54.9736405Z mm 0.0198 ms 100.0% 2025-09-07T09:25:54.9737023Z triton_mm_691 0.0221 ms 89.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:25:54.9738037Z triton_mm_684 0.0258 ms 76.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:54.9739001Z triton_mm_685 0.0265 ms 74.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:25:54.9739963Z triton_mm_690 0.0272 ms 72.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:54.9741106Z triton_mm_680 0.0295 ms 67.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:25:54.9742062Z triton_mm_683 0.0304 ms 65.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:54.9743641Z triton_mm_687 0.0320 ms 62.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:54.9744866Z triton_mm_681 0.0340 ms 58.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:25:54.9745778Z triton_mm_682 0.0364 ms 54.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:54.9746567Z SingleProcess AUTOTUNE benchmarking takes 0.2867 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:25:55.5568568Z Autotune Choices Stats: 2025-09-07T09:25:55.5570006Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01775999926030636, "best_triton_pos": 1, "best_triton_time": 0.017823999747633934, "best_triton_kernel": "triton_mm_775", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T09:25:55.5689728Z AUTOTUNE mm(4096x2048, 2048x256) 2025-09-07T09:25:55.5689995Z strides: [2048, 1], [1, 2048] 2025-09-07T09:25:55.5690462Z dtypes: torch.float16, torch.float16 2025-09-07T09:25:55.5690740Z mm 0.0178 ms 100.0% 2025-09-07T09:25:55.5691355Z triton_mm_775 0.0178 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:25:55.5692391Z triton_mm_781 0.0214 ms 83.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:25:55.5693386Z triton_mm_771 0.0218 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:25:55.5694468Z triton_mm_774 0.0229 ms 77.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:55.5695366Z triton_mm_770 0.0242 ms 73.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:25:55.5696264Z triton_mm_780 0.0259 ms 68.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:25:55.5697160Z triton_mm_773 0.0283 ms 62.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:55.5698057Z triton_mm_767 0.0296 ms 59.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:25:55.5698969Z triton_mm_777 0.0297 ms 59.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:25:55.5699759Z SingleProcess AUTOTUNE benchmarking takes 0.2599 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:26:07.1364343Z pass 2025-09-07T09:26:10.8166166Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:26:10.8167284Z import pynvml # type: ignore[import] 2025-09-07T09:26:13.4453487Z 2025-09-07T09:26:16.3690607Z loading model: 0it [00:00, ?it/s]WARNING:common:Model doctr_reco_predictor does not support bfloat16, running with amp instead 2025-09-07T09:26:16.6364135Z 2025-09-07T09:26:16.6364431Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:26:16.6365275Z WARNING:common:Model doctr_reco_predictor does not support bfloat16, running with amp instead 2025-09-07T09:26:16.6366117Z cuda eval doctr_reco_predictor 2025-09-07T09:26:16.7063607Z WARNING:common:Model doctr_reco_predictor does not support bfloat16, running with amp instead 2025-09-07T09:26:23.8388183Z pass 2025-09-07T09:26:26.6702800Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:26:26.6703854Z import pynvml # type: ignore[import] 2025-09-07T09:26:29.1268504Z 2025-09-07T09:26:29.1882545Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality. 2025-09-07T09:26:29.1883546Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade. 2025-09-07T09:26:29.1884436Z Users of this version of Gym should be able to simply replace 'import gym' with 'import gymnasium as gym' in the vast majority of cases. 2025-09-07T09:26:29.1885246Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information. 2025-09-07T09:26:30.3714707Z 2025-09-07T09:26:30.3715111Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:26:30.3722135Z cuda eval drq 2025-09-07T09:26:42.6016544Z Autotune Choices Stats: 2025-09-07T09:26:42.6018472Z {"num_choices": 24, "num_triton_choices": 13, "best_kernel": "mm", "best_time": 0.01196799986064434, "best_triton_pos": 11, "best_triton_time": 0.10275200009346008, "best_triton_kernel": "triton_mm_36", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T09:26:42.6277091Z AUTOTUNE mm(1x39200, 39200x50) 2025-09-07T09:26:42.6277348Z strides: [39200, 1], [1, 39200] 2025-09-07T09:26:42.6277818Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-07T09:26:42.6278351Z mm 0.0120 ms 100.0% 2025-09-07T09:26:42.6278845Z decompose_k_mm_25_split_2 0.0126 ms 94.7% k_split=25 2025-09-07T09:26:42.6279403Z decompose_k_mm_49_split_4 0.0133 ms 90.1% k_split=49 2025-09-07T09:26:42.6279949Z decompose_k_mm_8_split_9 0.0150 ms 79.7% k_split=8 2025-09-07T09:26:42.6280723Z decompose_k_mm_35_split_3 0.0152 ms 78.7% k_split=35 2025-09-07T09:26:42.6281246Z decompose_k_mm_7_split_1 0.0162 ms 74.1% k_split=7 2025-09-07T09:26:42.6281795Z decompose_k_mm_245_split_6 0.0164 ms 73.2% k_split=245 2025-09-07T09:26:42.6282347Z decompose_k_mm_5_split_0 0.0165 ms 72.3% k_split=5 2025-09-07T09:26:42.6282928Z decompose_k_mm_175_split_5 0.0176 ms 68.0% k_split=175 2025-09-07T09:26:42.6283478Z decompose_k_mm_4_split_8 0.0179 ms 67.0% k_split=4 2025-09-07T09:26:42.6284312Z SingleProcess AUTOTUNE benchmarking takes 2.8692 seconds and 0.0010 seconds precompiling for 24 choices 2025-09-07T09:26:43.7551624Z pass 2025-09-07T09:26:46.4682727Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:26:46.4683844Z import pynvml # type: ignore[import] 2025-09-07T09:26:48.9369545Z 2025-09-07T09:26:50.5814242Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:26:50.5814841Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:26:50.5871089Z cuda eval fastNLP_Bert 2025-09-07T09:26:51.0487810Z W0907 09:26:51.048000 123032 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T09:26:51.0489280Z W0907 09:26:51.048000 123032 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T09:26:51.0490064Z W0907 09:26:51.048000 123032 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] or: 2025-09-07T09:26:51.0491323Z W0907 09:26:51.048000 123032 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T09:26:51.0492113Z W0907 09:26:51.048000 123032 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] to include these operations in the captured graph. 2025-09-07T09:26:51.0492745Z W0907 09:26:51.048000 123032 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-09-07T09:26:51.0493326Z W0907 09:26:51.048000 123032 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break: from user code at: 2025-09-07T09:26:51.0494207Z W0907 09:26:51.048000 123032 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:26:51.0495069Z W0907 09:26:51.048000 123032 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] return mod(*inputs) 2025-09-07T09:26:51.0495941Z W0907 09:26:51.048000 123032 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/models/bert.py", line 265, in forward 2025-09-07T09:26:51.0496840Z W0907 09:26:51.048000 123032 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] sequence_output = self.bert(words) 2025-09-07T09:26:51.0497795Z W0907 09:26:51.048000 123032 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 137, in forward 2025-09-07T09:26:51.0498731Z W0907 09:26:51.048000 123032 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] outputs = self.model(words) 2025-09-07T09:26:51.0499673Z W0907 09:26:51.048000 123032 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward 2025-09-07T09:26:51.0501305Z W0907 09:26:51.048000 123032 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item() # 表示word piece的长度(包括padding) 2025-09-07T09:26:51.0502057Z W0907 09:26:51.048000 123032 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-09-07T09:26:51.0502513Z W0907 09:26:51.048000 123032 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-09-07T09:27:06.5654166Z pass 2025-09-07T09:27:09.6663243Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:27:09.6664546Z import pynvml # type: ignore[import] 2025-09-07T09:27:12.1349572Z 2025-09-07T09:27:13.3316271Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:27:13.3316601Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:27:13.3335222Z cuda eval functorch_dp_cifar10 2025-09-07T09:27:22.3116712Z pass 2025-09-07T09:27:25.1177869Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:27:25.1178905Z import pynvml # type: ignore[import] 2025-09-07T09:27:27.6806822Z 2025-09-07T09:27:28.3174022Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:27:28.3174393Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:27:28.3180075Z cuda eval functorch_maml_omniglot 2025-09-07T09:27:33.8556839Z pass 2025-09-07T09:27:36.3099310Z accuracy pass_rate=100.00% 2025-09-07T09:27:36.3111318Z calls_captured gmean=71.26x mean=126.286x 2025-09-07T09:27:36.3115021Z unique_graphs gmean=1.74x mean=2.000x 2025-09-07T09:27:36.3118484Z graph_breaks gmean=0.00x mean=1.143x 2025-09-07T09:27:36.3122825Z unique_graph_breaks gmean=0.00x mean=0.571x 2025-09-07T09:27:36.3125478Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:27:36.3128786Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:27:36.3132293Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:27:36.3133322Z compilation_latency mean=13.591 seconds 2025-09-07T09:27:37.2191758Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *cudagraphs_low_precision-true* ]] 2025-09-07T09:27:37.2193908Z + [[ inference == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:27:37.2195228Z + python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --inference --quant --backend inductor --device cuda --total-partitions 9 --partition-id 2 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cudagraphs_low_precision_torchbench_quant_inference_cuda_h100_accuracy.csv 2025-09-07T09:27:37.7186203Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:27:37.7187244Z import pynvml # type: ignore[import] 2025-09-07T09:27:40.1278373Z usage: torchbench.py 2025-09-07T09:27:40.1278673Z [-h] 2025-09-07T09:27:40.1278873Z [--filter FILTER] 2025-09-07T09:27:40.1279129Z [--exclude EXCLUDE] 2025-09-07T09:27:40.1279386Z [--exclude-exact EXCLUDE_EXACT] 2025-09-07T09:27:40.1279762Z [--total-partitions {1,2,3,4,5,6,7,8,9,10,11,12,13,14,15}] 2025-09-07T09:27:40.1280125Z [--partition-id PARTITION_ID] 2025-09-07T09:27:40.1280819Z [--devices DEVICES] 2025-09-07T09:27:40.1281075Z [--device-index DEVICE_INDEX] 2025-09-07T09:27:40.1281341Z [--repeat REPEAT] 2025-09-07T09:27:40.1281638Z [--iterations-per-run ITERATIONS_PER_RUN] 2025-09-07T09:27:40.1281941Z [--randomize-input] 2025-09-07T09:27:40.1282180Z [--threads THREADS] 2025-09-07T09:27:40.1282414Z [--nopython] 2025-09-07T09:27:40.1282618Z [--no-skip] 2025-09-07T09:27:40.1282833Z [--prims-nvfuser] 2025-09-07T09:27:40.1283089Z [--dump-raw-metrics] 2025-09-07T09:27:40.1283350Z [--log-operator-inputs] 2025-09-07T09:27:40.1283601Z [--channels-last] 2025-09-07T09:27:40.1283850Z [--batch-size BATCH_SIZE] 2025-09-07T09:27:40.1284118Z [--iterations ITERATIONS] 2025-09-07T09:27:40.1284368Z [--batch-size-file BATCH_SIZE_FILE] 2025-09-07T09:27:40.1284624Z [--cosine] 2025-09-07T09:27:40.1284792Z [--freezing] 2025-09-07T09:27:40.1284991Z [--inductor-config INDUCTOR_CONFIG] 2025-09-07T09:27:40.1285248Z [--ci] 2025-09-07T09:27:40.1285413Z [--dashboard] 2025-09-07T09:27:40.1285605Z [--skip-fp64-check] 2025-09-07T09:27:40.1285799Z [--fast] 2025-09-07T09:27:40.1285974Z [--only ONLY] 2025-09-07T09:27:40.1286158Z [--multiprocess] 2025-09-07T09:27:40.1286347Z [--ddp] 2025-09-07T09:27:40.1286512Z [--fsdp] 2025-09-07T09:27:40.1286726Z [--optimize-ddp-mode OPTIMIZE_DDP_MODE] 2025-09-07T09:27:40.1287046Z [--distributed-master-port DISTRIBUTED_MASTER_PORT] 2025-09-07T09:27:40.1287344Z [--dynamic-shapes] 2025-09-07T09:27:40.1287558Z [--propagate-real-tensors] 2025-09-07T09:27:40.1287814Z [--dynamic-batch-only] 2025-09-07T09:27:40.1288041Z [--specialize-int] 2025-09-07T09:27:40.1288257Z [--use-eval-mode] 2025-09-07T09:27:40.1288957Z [--skip-accuracy-check] 2025-09-07T09:27:40.1289219Z [--generate-aot-autograd-stats] 2025-09-07T09:27:40.1289474Z [--inductor-settings] 2025-09-07T09:27:40.1289691Z [--suppress-errors] 2025-09-07T09:27:40.1289891Z [--output OUTPUT] 2025-09-07T09:27:40.1290113Z [--output-directory OUTPUT_DIRECTORY] 2025-09-07T09:27:40.1291621Z [--disable-output] 2025-09-07T09:27:40.1292544Z [--baseline BASELINE] 2025-09-07T09:27:40.1292808Z [--part PART] 2025-09-07T09:27:40.1293079Z [--export-profiler-trace] 2025-09-07T09:27:40.1293419Z [--profiler-trace-name PROFILER_TRACE_NAME] 2025-09-07T09:27:40.1293767Z [--profile-details] 2025-09-07T09:27:40.1294029Z [--export-perfdoctor] 2025-09-07T09:27:40.1294293Z [--diff-branch DIFF_BRANCH] 2025-09-07T09:27:40.1294564Z [--tag TAG] 2025-09-07T09:27:40.1294770Z [--explain] 2025-09-07T09:27:40.1294962Z [--stats] 2025-09-07T09:27:40.1295209Z [--use-warm-peak-memory] 2025-09-07T09:27:40.1295475Z [--print-memory] 2025-09-07T09:27:40.1295721Z [--print-compilation-time] 2025-09-07T09:27:40.1295993Z [--print-dataframe-summary] 2025-09-07T09:27:40.1296261Z [--disable-cudagraphs] 2025-09-07T09:27:40.1296536Z [--disable-split-reductions] 2025-09-07T09:27:40.1296840Z [--disable-persistent-reductions] 2025-09-07T09:27:40.1297131Z [--disable-divisible-by-16] 2025-09-07T09:27:40.1297433Z [--inductor-compile-mode INDUCTOR_COMPILE_MODE] 2025-09-07T09:27:40.1297747Z [--print-graph-breaks] 2025-09-07T09:27:40.1298001Z [--log-graph-breaks] 2025-09-07T09:27:40.1298226Z [--trace-on-xla] 2025-09-07T09:27:40.1298478Z [--xla-tolerance XLA_TOLERANCE] 2025-09-07T09:27:40.1298750Z [--collect-outputs] 2025-09-07T09:27:40.1299011Z [--enable-activation-checkpointing] 2025-09-07T09:27:40.1299281Z [--timing] 2025-09-07T09:27:40.1299477Z [--progress] 2025-09-07T09:27:40.1299685Z [--timeout TIMEOUT] 2025-09-07T09:27:40.1299983Z [--per_process_memory_fraction PER_PROCESS_MEMORY_FRACTION] 2025-09-07T09:27:40.1300541Z [--no-translation-validation] 2025-09-07T09:27:40.1300825Z [--minify] 2025-09-07T09:27:40.1301040Z [--compiled-autograd] 2025-09-07T09:27:40.1301299Z [--profile_dynamo_cache_lookup] 2025-09-07T09:27:40.1301576Z [--snapshot-memory] 2025-09-07T09:27:40.1301807Z [--retain-output] 2025-09-07T09:27:40.1302044Z [--caching-precompile] 2025-09-07T09:27:40.1302344Z [--cold-start-latency | --warm-start-latency] 2025-09-07T09:27:40.1302725Z [--nnc] 2025-09-07T09:27:40.1302967Z [--float16 | --bfloat16 | --float32 | --amp] 2025-09-07T09:27:40.1303274Z [--amp-dtype {bfloat16,float16}] 2025-09-07T09:27:40.1303551Z [--verbose | --quiet] 2025-09-07T09:27:40.1306027Z [--coverage | --overhead | --speedup-dynamo-ts | --speedup-fx2trt | --speedup-fx2trt-fp16 | --print-fx | --print-aten-ops | --inductor | --quantization {int8dynamic,int8weightonly,int4weightonly,autoquant,noquant} | --export | --export-aot-inductor | --export-nativert | --torchscript-jit-trace | --xla | --backend {aot_eager,aot_eager_decomp_partition,aot_eager_decomp_partition_crossref,aot_eager_decomp_partition_with_mode,aot_eager_default_partitioner,aot_ts,cudagraphs,dynamo_accuracy_minifier_backend,dynamo_minifier_backend,eager,eager_debug,eager_noexcept,inductor,non_leaf_compile_error_TESTING_ONLY,openxla,openxla_eval,pre_dispatch_eager,relu_accuracy_error_TESTING_ONLY,relu_compile_error_TESTING_ONLY,relu_runtime_error_TESTING_ONLY,ts,tvm} | --nothing | --log-conv-args | --recompile-profiler | --find-batch-sizes] 2025-09-07T09:27:40.1308450Z (--accuracy | --performance | --tolerance) 2025-09-07T09:27:40.1308695Z (--training | --inference) 2025-09-07T09:27:40.1308986Z torchbench.py: error: argument --quantization: expected one argument 2025-09-07T09:27:40.7240476Z + true 2025-09-07T09:27:40.7241915Z + cp /var/lib/jenkins/workspace/test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.csv /var/lib/jenkins/workspace/test/test-reports/inductor_cudagraphs_low_precision_torchbench_quant_inference_cuda_h100_accuracy.csv 2025-09-07T09:27:40.7264779Z + for target in "${targets[@]}" 2025-09-07T09:27:40.7265038Z + target_flag=('--performance') 2025-09-07T09:27:40.7265502Z + local target_flag 2025-09-07T09:27:40.7265741Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T09:27:40.7266029Z + target_flag+=(--cold-start-latency) 2025-09-07T09:27:40.7267072Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freezing-true* ]] 2025-09-07T09:27:40.7268894Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *default-true* ]] 2025-09-07T09:27:40.7271029Z + python benchmarks/dynamo/torchbench.py --performance --cold-start-latency --inference --bfloat16 --backend inductor --disable-cudagraphs --device cuda --total-partitions 9 --partition-id 2 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.csv 2025-09-07T09:27:41.2212023Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:27:41.2213019Z import pynvml # type: ignore[import] 2025-09-07T09:27:45.0025257Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:27:45.0031172Z import pynvml # type: ignore[import] 2025-09-07T09:27:47.4629256Z 2025-09-07T09:27:47.7173421Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc' 2025-09-07T09:27:47.7173937Z what(): std::bad_alloc 2025-09-07T09:27:47.9284922Z Run failed with return code: -6 2025-09-07T09:27:47.9285261Z Output: None 2025-09-07T09:27:47.9285462Z Error: None 2025-09-07T09:27:48.4231890Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:27:48.4232931Z import pynvml # type: ignore[import] 2025-09-07T09:27:50.8973670Z 2025-09-07T09:27:51.1541040Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc' 2025-09-07T09:27:51.1541565Z what(): std::bad_alloc 2025-09-07T09:27:51.3981516Z Run failed with return code: -6 2025-09-07T09:27:51.3981986Z Output: None 2025-09-07T09:27:51.3982318Z Error: None 2025-09-07T09:27:51.8918969Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:27:51.8919976Z import pynvml # type: ignore[import] 2025-09-07T09:27:54.3542149Z 2025-09-07T09:27:54.6093931Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc' 2025-09-07T09:27:54.6094427Z what(): std::bad_alloc 2025-09-07T09:27:54.8176191Z Run failed with return code: -6 2025-09-07T09:27:54.8176537Z Output: None 2025-09-07T09:27:54.8176770Z Error: None 2025-09-07T09:27:55.3174387Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:27:55.3179441Z import pynvml # type: ignore[import] 2025-09-07T09:27:57.8100123Z 2025-09-07T09:27:58.0657677Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc' 2025-09-07T09:27:58.0658202Z what(): std::bad_alloc 2025-09-07T09:27:58.2871309Z Run failed with return code: -6 2025-09-07T09:27:58.2871637Z Output: None 2025-09-07T09:27:58.2871835Z Error: None 2025-09-07T09:27:58.7771814Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:27:58.7772861Z import pynvml # type: ignore[import] 2025-09-07T09:28:01.3590884Z 2025-09-07T09:28:09.4976884Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:28:09.4977252Z loading model: 0it [00:08, ?it/s] 2025-09-07T09:28:09.4982881Z cuda eval dlrm 2025-09-07T09:28:14.4336259Z 2025-09-07T09:28:14.4997028Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T09:49:51.7301145Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T09:49:51.7315895Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:51.7316196Z env: 2025-09-07T09:49:51.7316364Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:51.7316615Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:49:51.7316949Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:49:51.7317366Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:49:51.7317730Z ##[endgroup] 2025-09-07T09:49:51.7378799Z + [[ -n '' ]] 2025-09-07T09:49:51.7379124Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T09:49:52.0105712Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T09:49:53.2429737Z Collecting boto3==1.35.33 2025-09-07T09:49:53.3032592Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T09:49:53.9482590Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.1/139.1 KB 200.7 kB/s eta 0:00:00 2025-09-07T09:49:54.6477840Z Collecting psutil==7.0.0 2025-09-07T09:49:54.6596340Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-09-07T09:49:55.3233857Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 278.0/278.0 KB 404.7 kB/s eta 0:00:00 2025-09-07T09:49:55.7602442Z Collecting pynvml==12.0.0 2025-09-07T09:49:55.7718502Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T09:49:57.2524595Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T09:49:57.2644218Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T09:49:57.9089367Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.3/13.3 MB 16.7 MB/s eta 0:00:00 2025-09-07T09:49:58.5235650Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T09:49:58.5357098Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T09:49:58.9147625Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.2/83.2 KB 193.8 kB/s eta 0:00:00 2025-09-07T09:49:59.2112294Z Collecting jmespath<2.0.0,>=0.7.1 2025-09-07T09:49:59.2235110Z Downloading jmespath-1.0.1-py3-none-any.whl (20 kB) 2025-09-07T09:49:59.7602092Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T09:49:59.7717756Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T09:50:00.1101721Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.5/47.5 KB 111.0 kB/s eta 0:00:00 2025-09-07T09:50:00.1167895Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.26.5) 2025-09-07T09:50:00.1174496Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-09-07T09:50:00.4136958Z Installing collected packages: nvidia-ml-py, pynvml, psutil, jmespath, botocore, s3transfer, boto3 2025-09-07T09:50:00.4137572Z Attempting uninstall: nvidia-ml-py 2025-09-07T09:50:00.4142311Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T09:50:00.4178192Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T09:50:00.4205404Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T09:50:02.0620623Z Attempting uninstall: psutil 2025-09-07T09:50:02.0630184Z Found existing installation: psutil 5.9.8 2025-09-07T09:50:02.0843118Z Uninstalling psutil-5.9.8: 2025-09-07T09:50:02.0855096Z Successfully uninstalled psutil-5.9.8 2025-09-07T09:50:04.8352229Z Successfully installed boto3-1.35.33 botocore-1.35.99 jmespath-1.0.1 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-09-07T09:50:04.9321239Z + DEVICE_NAME= 2025-09-07T09:50:04.9321486Z /usr/bin/nvidia-smi 2025-09-07T09:50:04.9321695Z + DEVICE_TYPE= 2025-09-07T09:50:04.9322288Z + command -v nvidia-smi 2025-09-07T09:50:04.9322512Z + python3 -mpip install torch==2.7.1 2025-09-07T09:50:05.2041546Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T09:50:05.5636254Z Collecting torch==2.7.1 2025-09-07T09:50:05.6229626Z Downloading torch-2.7.1-cp310-cp310-manylinux_2_28_x86_64.whl (821.2 MB) 2025-09-07T09:50:24.8546190Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 821.2/821.2 MB 657.7 kB/s eta 0:00:00 2025-09-07T09:50:26.1458282Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-09-07T09:50:26.1577123Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-09-07T09:50:27.0343715Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.9/8.9 MB 10.2 MB/s eta 0:00:00 2025-09-07T09:50:27.8525377Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-09-07T09:50:27.8645319Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-09-07T09:50:35.2607325Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 393.1/393.1 MB 2.0 MB/s eta 0:00:00 2025-09-07T09:50:36.0712655Z Collecting networkx 2025-09-07T09:50:36.0832789Z Downloading networkx-3.4.2-py3-none-any.whl (1.7 MB) 2025-09-07T09:50:36.7160987Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 2.7 MB/s eta 0:00:00 2025-09-07T09:50:37.3194882Z Collecting triton==3.3.1 2025-09-07T09:50:37.3315159Z Downloading triton-3.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-09-07T09:50:42.0818445Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.6/155.6 MB 4.2 MB/s eta 0:00:00 2025-09-07T09:50:42.3852030Z Collecting nvidia-nvtx-cu12==12.6.77 2025-09-07T09:50:42.3973345Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-09-07T09:50:42.7850076Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 89.3/89.3 KB 204.9 kB/s eta 0:00:00 2025-09-07T09:50:42.8728428Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-09-07T09:50:42.8844825Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-09-07T09:51:07.1331211Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 571.0/571.0 MB 792.4 kB/s eta 0:00:00 2025-09-07T09:51:08.2754160Z Collecting nvidia-curand-cu12==10.3.7.77 2025-09-07T09:51:08.2872767Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-09-07T09:51:11.5265162Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.3/56.3 MB 4.6 MB/s eta 0:00:00 2025-09-07T09:51:11.5816601Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/bob/.local/lib/python3.10/site-packages (from torch==2.7.1) (4.15.0) 2025-09-07T09:51:11.8290881Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-09-07T09:51:11.8409274Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-09-07T09:51:16.5790725Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 156.8/156.8 MB 4.5 MB/s eta 0:00:00 2025-09-07T09:51:16.8327478Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-09-07T09:51:16.8447302Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-09-07T09:51:31.8518111Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 216.6/216.6 MB 1.6 MB/s eta 0:00:00 2025-09-07T09:51:32.1902519Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-09-07T09:51:32.2021250Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-09-07T09:51:33.4727017Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 13.2 MB/s eta 0:00:00 2025-09-07T09:51:33.9897196Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-09-07T09:51:34.0017610Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-09-07T09:51:34.7288792Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 897.7/897.7 KB 1.2 MB/s eta 0:00:00 2025-09-07T09:51:35.1405111Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-09-07T09:51:35.1858395Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-09-07T09:51:35.6086120Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 2.7 MB/s eta 0:00:00 2025-09-07T09:51:35.8776604Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-09-07T09:51:35.9389891Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-09-07T09:51:51.0587818Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 200.2/200.2 MB 2.2 MB/s eta 0:00:00 2025-09-07T09:51:51.8511019Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-09-07T09:51:51.8632857Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-09-07T09:52:02.8008934Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 158.2/158.2 MB 2.5 MB/s eta 0:00:00 2025-09-07T09:52:03.3807753Z Collecting fsspec 2025-09-07T09:52:03.3925590Z Downloading fsspec-2025.9.0-py3-none-any.whl (199 kB) 2025-09-07T09:52:03.7927195Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.3/199.3 KB 475.1 kB/s eta 0:00:00 2025-09-07T09:52:04.0952930Z Collecting nvidia-nccl-cu12==2.26.2 2025-09-07T09:52:04.1072930Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-09-07T09:52:21.4502999Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 201.3/201.3 MB 1.6 MB/s eta 0:00:00 2025-09-07T09:52:22.1880132Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-09-07T09:52:22.2002923Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-09-07T09:52:24.4336633Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.7/19.7 MB 6.3 MB/s eta 0:00:00 2025-09-07T09:52:25.0313689Z Collecting filelock 2025-09-07T09:52:25.0431020Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-09-07T09:52:25.9238098Z Collecting sympy>=1.13.3 2025-09-07T09:52:25.9358036Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-09-07T09:52:26.8576119Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/6.3 MB 6.8 MB/s eta 0:00:00 2025-09-07T09:52:27.1724305Z Collecting jinja2 2025-09-07T09:52:27.1846641Z Downloading jinja2-3.1.6-py3-none-any.whl (134 kB) 2025-09-07T09:52:27.6667255Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 134.9/134.9 KB 259.9 kB/s eta 0:00:00 2025-09-07T09:52:27.6937064Z Requirement already satisfied: setuptools>=40.8.0 in /usr/lib/python3/dist-packages (from triton==3.3.1->torch==2.7.1) (59.6.0) 2025-09-07T09:52:28.2740823Z Collecting mpmath<1.4,>=1.1.0 2025-09-07T09:52:28.2862878Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-09-07T09:52:28.9948380Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 536.2/536.2 KB 744.5 kB/s eta 0:00:00 2025-09-07T09:52:29.6107112Z Collecting MarkupSafe>=2.0 2025-09-07T09:52:29.6227084Z Downloading MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20 kB) 2025-09-07T09:52:30.4655319Z Installing collected packages: nvidia-cusparselt-cu12, mpmath, triton, sympy, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, networkx, MarkupSafe, fsspec, filelock, nvidia-cusparse-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, jinja2, nvidia-cusolver-cu12, torch 2025-09-07T09:52:35.9628737Z WARNING: The scripts proton and proton-viewer are installed in '/home/bob/.local/bin' which is not on PATH. 2025-09-07T09:52:35.9629577Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T09:52:40.8151072Z WARNING: The script isympy is installed in '/home/bob/.local/bin' which is not on PATH. 2025-09-07T09:52:40.8151824Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T09:53:37.1694212Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/bob/.local/bin' which is not on PATH. 2025-09-07T09:53:37.1695060Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T09:53:38.4390864Z Successfully installed MarkupSafe-3.0.2 filelock-3.19.1 fsspec-2025.9.0 jinja2-3.1.6 mpmath-1.3.0 networkx-3.4.2 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.5.1.17 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-cusparselt-cu12-0.6.3 nvidia-nccl-cu12-2.26.2 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.6.77 sympy-1.14.0 torch-2.7.1 triton-3.3.1 2025-09-07T09:53:39.5056672Z + echo DEVICE_NAME= 2025-09-07T09:53:39.5056965Z + echo DEVICE_TYPE= 2025-09-07T09:53:39.5220829Z ##[group]Run set -eux 2025-09-07T09:53:39.5221064Z set -eux 2025-09-07T09:53:39.5221245Z  2025-09-07T09:53:39.5221432Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T09:53:39.5221731Z  echo "Missing github-token input" 2025-09-07T09:53:39.5221991Z  exit 1 2025-09-07T09:53:39.5222169Z fi 2025-09-07T09:53:39.5236671Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:53:39.5236980Z env: 2025-09-07T09:53:39.5237149Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:53:39.5237403Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:53:39.5237739Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:53:39.5238162Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:53:39.5238702Z DEVICE_NAME: 2025-09-07T09:53:39.5238881Z DEVICE_TYPE: 2025-09-07T09:53:39.5239250Z GITHUB_TOKEN: *** 2025-09-07T09:53:39.5239433Z ##[endgroup] 2025-09-07T09:53:39.5357114Z + [[ -z *** ]] 2025-09-07T09:53:39.5604499Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T09:53:39.5604863Z with: 2025-09-07T09:53:39.5605248Z github-token: *** 2025-09-07T09:53:39.5605455Z env: 2025-09-07T09:53:39.5605639Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:53:39.5605915Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:53:39.5606285Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:53:39.5606753Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:53:39.5607151Z DEVICE_NAME: 2025-09-07T09:53:39.5607333Z DEVICE_TYPE: 2025-09-07T09:53:39.5607509Z ##[endgroup] 2025-09-07T09:53:39.9504909Z ##[group]Run set -eux 2025-09-07T09:53:39.9505141Z set -eux 2025-09-07T09:53:39.9505311Z  2025-09-07T09:53:39.9505668Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T09:53:39.9520511Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:53:39.9520806Z env: 2025-09-07T09:53:39.9520968Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:53:39.9521218Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:53:39.9521746Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:53:39.9522156Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:53:39.9522506Z DEVICE_NAME: 2025-09-07T09:53:39.9522668Z DEVICE_TYPE: 2025-09-07T09:53:39.9523043Z GITHUB_TOKEN: *** 2025-09-07T09:53:39.9523222Z ##[endgroup] 2025-09-07T09:53:39.9558235Z + python3 /home/bob/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525296438 i-0b7d0f7dc0527ca9b-1002 2025-09-07T09:53:40.8471103Z setting job-id=49775781851 2025-09-07T09:53:40.8471634Z setting job-name=test-weekly / test (inductor_torchbench_perf_cuda_h100, 3, 9, linux.aws.h100) 2025-09-07T09:53:40.8575615Z ##[group]Run set -eux 2025-09-07T09:53:40.8575836Z set -eux 2025-09-07T09:53:40.8576002Z  2025-09-07T09:53:40.8576160Z if [[ -n "" ]]; then 2025-09-07T09:53:40.8576371Z  source "" 2025-09-07T09:53:40.8576543Z fi 2025-09-07T09:53:40.8576694Z  2025-09-07T09:53:40.8577032Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T09:53:40.8577406Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T09:53:40.8577699Z  --repo "${REPO}" \ 2025-09-07T09:53:40.8577922Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T09:53:40.8578168Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T09:53:40.8578654Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T09:53:40.8578923Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T09:53:40.8579156Z  --job-id "${JOB_ID}" \ 2025-09-07T09:53:40.8579372Z  --job-name "${JOB_NAME}" 2025-09-07T09:53:40.8593838Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:53:40.8594125Z env: 2025-09-07T09:53:40.8594289Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:53:40.8594536Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:53:40.8594879Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:53:40.8595288Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:53:40.8595637Z DEVICE_NAME: 2025-09-07T09:53:40.8595805Z DEVICE_TYPE: 2025-09-07T09:53:40.8595969Z SCHEMA_VERSION: v3 2025-09-07T09:53:40.8596158Z REPO: pytorch/pytorch 2025-09-07T09:53:40.8596354Z HEAD_BRANCH: refs/heads/main 2025-09-07T09:53:40.8596724Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:53:40.8596971Z WORKFLOW_RUN_ID: 17525296438 2025-09-07T09:53:40.8609131Z RUN_ATTEMPT: 1 2025-09-07T09:53:40.8609350Z JOB_ID: 49775781851 2025-09-07T09:53:40.8609709Z JOB_NAME: test-weekly / test (inductor_torchbench_perf_cuda_h100, 3, 9, linux.aws.h100) 2025-09-07T09:53:40.8610071Z ##[endgroup] 2025-09-07T09:53:40.8642989Z + [[ -n '' ]] 2025-09-07T09:53:40.8644896Z + python3 /home/bob/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 93fb23d6fae7c4e82c4239a1033e522088742634 --workflow-id 17525296438 --run-attempt 1 --job-id 49775781851 --job-name 'test-weekly / test (inductor_torchbench_perf_cuda_h100, 3, 9, linux.aws.h100)' 2025-09-07T09:53:41.0308358Z ##[group]Run set -eux 2025-09-07T09:53:41.0308656Z set -eux 2025-09-07T09:53:41.0308888Z  2025-09-07T09:53:41.0309128Z if [[ -n "" ]]; then 2025-09-07T09:53:41.0309432Z  source "" 2025-09-07T09:53:41.0309692Z fi 2025-09-07T09:53:41.0309914Z  2025-09-07T09:53:41.0310503Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T09:53:41.0327757Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:53:41.0328176Z env: 2025-09-07T09:53:41.0328420Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:53:41.0329037Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:53:41.0329509Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:53:41.0330113Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:53:41.0330802Z DEVICE_NAME: 2025-09-07T09:53:41.0331036Z DEVICE_TYPE: 2025-09-07T09:53:41.0331264Z ##[endgroup] 2025-09-07T09:53:41.0813062Z + [[ -n '' ]] 2025-09-07T09:53:41.0813700Z + python3 /home/bob/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T09:53:42.2755437Z /home/bob/.local/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-09-07T09:53:42.2756542Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-09-07T09:53:44.4471550Z ##[group]Run set -eux 2025-09-07T09:53:44.4471776Z set -eux 2025-09-07T09:53:44.4471953Z  2025-09-07T09:53:44.4472154Z # TODO (huydhn): Implement this part 2025-09-07T09:53:44.4472450Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:53:44.4486841Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:53:44.4487150Z env: 2025-09-07T09:53:44.4487313Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:53:44.4487562Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:53:44.4488179Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:53:44.4488617Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:53:44.4488981Z DEVICE_NAME: 2025-09-07T09:53:44.4489155Z DEVICE_TYPE: 2025-09-07T09:53:44.4489335Z ##[endgroup] 2025-09-07T09:53:44.4959941Z + echo 'dependencies={}' 2025-09-07T09:53:44.7452045Z ##[group]Run set -eux 2025-09-07T09:53:44.7452313Z set -eux 2025-09-07T09:53:44.7452531Z  2025-09-07T09:53:44.7452727Z if [[ -n "" ]]; then 2025-09-07T09:53:44.7452994Z  source "" 2025-09-07T09:53:44.7453210Z fi 2025-09-07T09:53:44.7453401Z  2025-09-07T09:53:44.7453635Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T09:53:44.7454040Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T09:53:44.7454479Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T09:53:44.7455031Z  exit 0 2025-09-07T09:53:44.7455269Z fi 2025-09-07T09:53:44.7455474Z  2025-09-07T09:53:44.7455662Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T09:53:44.7456051Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T09:53:44.7456514Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T09:53:44.7456851Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T09:53:44.7457149Z  --runners "${RUNNER_INFO}" \ 2025-09-07T09:53:44.7457429Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T09:53:44.7457693Z  --dry-run 2025-09-07T09:53:44.7457883Z else 2025-09-07T09:53:44.7458189Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T09:53:44.7458627Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T09:53:44.7458974Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T09:53:44.7459261Z  --runners "${RUNNER_INFO}" \ 2025-09-07T09:53:44.7459527Z  --dependencies "${DEPENDENCIES}" 2025-09-07T09:53:44.7459777Z fi 2025-09-07T09:53:44.7473115Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:53:44.7473401Z env: 2025-09-07T09:53:44.7473578Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:53:44.7473832Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:53:44.7474310Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:53:44.7474723Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:53:44.7475076Z DEVICE_NAME: 2025-09-07T09:53:44.7475234Z DEVICE_TYPE: 2025-09-07T09:53:44.7475421Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T09:53:44.7475668Z DRY_RUN: false 2025-09-07T09:53:44.7476588Z BENCHMARK_METADATA: {"timestamp": 1757238820, "schema_version": "v3", "name": "test-weekly / test (inductor_torchbench_perf_cuda_h100, 3, 9, linux.aws.h100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525296438, "run_attempt": 1, "job_id": 49775781851} 2025-09-07T09:53:44.7477917Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 192, "avail_mem_in_gb": 1999, "extra_info": {"hostname": "21c7d56f3067"}, "name": "cuda", "type": "NVIDIA H100 80GB HBM3", "gpu_count": 1, "avail_gpu_mem_in_gb": 79}] 2025-09-07T09:53:44.7478477Z DEPENDENCIES: {} 2025-09-07T09:53:44.7478642Z ##[endgroup] 2025-09-07T09:53:44.7952585Z + [[ -n '' ]] 2025-09-07T09:53:44.7952805Z + [[ ! -d test/test-reports ]] 2025-09-07T09:53:44.7953018Z + [[ false == \t\r\u\e ]] 2025-09-07T09:53:44.7955415Z + python3 /home/bob/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1757238820, "schema_version": "v3", "name": "test-weekly / test (inductor_torchbench_perf_cuda_h100, 3, 9, linux.aws.h100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525296438, "run_attempt": 1, "job_id": 49775781851}' --runners '[{"cpu_info": "x86_64", "cpu_count": 192, "avail_mem_in_gb": 1999, "extra_info": {"hostname": "21c7d56f3067"}, "name": "cuda", "type": "NVIDIA H100 80GB HBM3", "gpu_count": 1, "avail_gpu_mem_in_gb": 79}]' --dependencies '{}' 2025-09-07T09:53:45.0801243Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_dynamic_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T09:53:45.1196566Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T09:53:45.4268103Z INFO:root:Upload test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T09:53:45.5651646Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.json 2025-09-07T09:53:45.7064681Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T09:53:45.8343617Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T09:53:45.9742330Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T09:53:46.1403630Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T09:53:46.3194632Z INFO:root:Upload test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T09:53:46.4496079Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_accuracy.json 2025-09-07T09:53:46.5855923Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T09:53:46.7168784Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_dynamic_torchbench_amp_training_cuda_h100_performance.json 2025-09-07T09:53:46.9683169Z INFO:root:Upload test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_max_autotune_torchbench_amp_training_cuda_h100_accuracy.json 2025-09-07T09:53:47.0995076Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.json 2025-09-07T09:53:47.2470560Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance.json 2025-09-07T09:53:47.4645170Z INFO:root:Upload test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T09:53:47.6252340Z INFO:root:Upload test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T09:53:47.7557582Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T09:53:47.9056384Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T09:53:48.0713331Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T09:53:48.1928381Z INFO:root:Upload test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance.json 2025-09-07T09:53:48.3203941Z INFO:root:Upload test/test-reports/inductor_export_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_export_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T09:53:48.4572912Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T09:53:48.6417103Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T09:53:48.7941364Z INFO:root:Upload test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T09:53:48.9438897Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T09:53:49.0891282Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T09:53:49.2462064Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T09:53:49.3960898Z INFO:root:Upload test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T09:53:49.5390097Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T09:53:49.7139860Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T09:53:49.8427686Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T09:53:50.0330929Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T09:53:50.1746621Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance.json 2025-09-07T09:53:50.3173268Z INFO:root:Upload test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T09:53:50.4488935Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T09:53:50.5859665Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance.json 2025-09-07T09:53:50.7178455Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_dynamic_torchbench_amp_training_cuda_h100_accuracy.json 2025-09-07T09:53:50.8599922Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T09:53:50.9913273Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T09:53:51.1286354Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781851/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T09:53:51.3582657Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T09:53:51.3583090Z cat test/**/*_toprint.log || true 2025-09-07T09:53:51.3597636Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:53:51.3597927Z env: 2025-09-07T09:53:51.3598089Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:53:51.3598338Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:53:51.3598677Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:53:51.3599088Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:53:51.3599601Z DEVICE_NAME: 2025-09-07T09:53:51.3599768Z DEVICE_TYPE: 2025-09-07T09:53:51.3599929Z ##[endgroup] 2025-09-07T09:53:51.4161322Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T09:53:51.4942186Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T09:53:51.4942507Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T09:53:51.4956684Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:53:51.4956979Z env: 2025-09-07T09:53:51.4957155Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:53:51.4957424Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:53:51.4957758Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:53:51.4958181Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:53:51.4958530Z DEVICE_NAME: 2025-09-07T09:53:51.4958694Z DEVICE_TYPE: 2025-09-07T09:53:51.4958859Z MONITOR_SCRIPT_PID: 9171 2025-09-07T09:53:51.4959040Z ##[endgroup] 2025-09-07T09:53:51.5434597Z Prepare all required actions 2025-09-07T09:53:51.5434981Z Getting action download info 2025-09-07T09:53:51.7031880Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T09:53:52.6849203Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T09:53:55.6422637Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T09:53:55.6422976Z with: 2025-09-07T09:53:55.6423487Z file-suffix: test-inductor_torchbench_perf_cuda_h100-3-9-linux.aws.h100_49775781851 2025-09-07T09:53:55.6423837Z s3-bucket: gha-artifacts 2025-09-07T09:53:55.6424035Z env: 2025-09-07T09:53:55.6424196Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:53:55.6424438Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:53:55.6424767Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:53:55.6425195Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:53:55.6425556Z DEVICE_NAME: 2025-09-07T09:53:55.6425719Z DEVICE_TYPE: 2025-09-07T09:53:55.6425880Z ##[endgroup] 2025-09-07T09:53:55.8245265Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T09:53:55.8245669Z # Remove any previous test jsons if they exist 2025-09-07T09:53:55.8245993Z rm -f test-jsons-*.zip 2025-09-07T09:53:55.8246342Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T09:53:55.8260930Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:53:55.8261235Z env: 2025-09-07T09:53:55.8261422Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:53:55.8261686Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:53:55.8262020Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:53:55.8262433Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:53:55.8262805Z DEVICE_NAME: 2025-09-07T09:53:55.8263046Z DEVICE_TYPE: 2025-09-07T09:53:55.8263353Z FILE_SUFFIX: test-inductor_torchbench_perf_cuda_h100-3-9-linux.aws.h100_49775781851 2025-09-07T09:53:55.8263685Z ##[endgroup] 2025-09-07T09:53:55.8395818Z adding: test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T09:53:55.8408090Z adding: test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T09:53:55.8416904Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T09:53:55.8429441Z adding: test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T09:53:55.8442014Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T09:53:55.8493125Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T09:53:55.8534653Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T09:53:55.8542226Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T09:53:55.8551272Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T09:53:55.8569597Z adding: test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T09:53:55.8582546Z adding: test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T09:53:55.8591903Z adding: test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T09:53:55.8600496Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T09:53:55.8613526Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T09:53:55.8671035Z adding: test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T09:53:55.8687652Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 98%) 2025-09-07T09:53:55.8736882Z adding: test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T09:53:55.8783824Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T09:53:55.8801601Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T09:53:55.8814610Z adding: test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T09:53:55.8826874Z adding: test/test-reports/inductor_export_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T09:53:55.8839221Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T09:53:55.8857004Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T09:53:55.8906322Z adding: test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T09:53:55.8918509Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T09:53:55.8968348Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T09:53:55.9010345Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T09:53:55.9028259Z adding: test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T09:53:55.9085816Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T09:53:55.9103492Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T09:53:55.9153501Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T09:53:55.9171913Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T09:53:55.9184632Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T09:53:55.9189863Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T09:53:55.9202155Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T09:53:55.9215113Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T09:53:55.9224035Z adding: test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T09:53:55.9236248Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T09:53:55.9254730Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T09:53:55.9294884Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 98%) 2025-09-07T09:53:56.1081576Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T09:53:56.1081966Z # Remove any previous test reports if they exist 2025-09-07T09:53:56.1082415Z rm -f test-reports-*.zip 2025-09-07T09:53:56.1082787Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T09:53:56.1096517Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:53:56.1096804Z env: 2025-09-07T09:53:56.1096964Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:53:56.1097208Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:53:56.1097543Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:53:56.1097952Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:53:56.1098303Z DEVICE_NAME: 2025-09-07T09:53:56.1098467Z DEVICE_TYPE: 2025-09-07T09:53:56.1098763Z FILE_SUFFIX: test-inductor_torchbench_perf_cuda_h100-3-9-linux.aws.h100_49775781851 2025-09-07T09:53:56.1099091Z ##[endgroup] 2025-09-07T09:53:56.1966759Z adding: test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 46%) 2025-09-07T09:53:56.1967684Z adding: test/test-reports/inductor_cudagraphs_low_precision_torchbench_quant_inference_cuda_h100_performance.csv (deflated 46%) 2025-09-07T09:53:56.1968495Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 49%) 2025-09-07T09:53:56.1969269Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 47%) 2025-09-07T09:53:56.1970131Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 46%) 2025-09-07T09:53:56.1971138Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 49%) 2025-09-07T09:53:56.1971927Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 49%) 2025-09-07T09:53:56.1972763Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T09:53:56.1973607Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 44%) 2025-09-07T09:53:56.1974465Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T09:53:56.1975317Z adding: test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 48%) 2025-09-07T09:53:56.1976412Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 52%) 2025-09-07T09:53:56.1977322Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 46%) 2025-09-07T09:53:56.1978072Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 50%) 2025-09-07T09:53:56.1978817Z adding: test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_performance.csv (deflated 43%) 2025-09-07T09:53:56.1979565Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T09:53:56.1980444Z adding: test/test-reports/inductor_export_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 52%) 2025-09-07T09:53:56.1981304Z adding: test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 46%) 2025-09-07T09:53:56.1981970Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance.csv (deflated 43%) 2025-09-07T09:53:56.1982598Z adding: test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance.csv (deflated 42%) 2025-09-07T09:53:56.1983395Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T09:53:56.1984248Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 46%) 2025-09-07T09:53:56.1984979Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T09:53:56.1985717Z adding: test/test-reports/inductor_cudagraphs_low_precision_torchbench_quant_inference_cuda_h100_accuracy.csv (deflated 49%) 2025-09-07T09:53:56.1986404Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 46%) 2025-09-07T09:53:56.1987036Z adding: test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_accuracy.csv (deflated 43%) 2025-09-07T09:53:56.1987728Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T09:53:56.1988434Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance.csv (deflated 43%) 2025-09-07T09:53:56.1989114Z adding: test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T09:53:56.1989838Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T09:53:56.1990652Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.csv (deflated 44%) 2025-09-07T09:53:56.1991328Z adding: test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T09:53:56.1992004Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 49%) 2025-09-07T09:53:56.1992617Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_accuracy.csv (deflated 44%) 2025-09-07T09:53:56.1993244Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance.csv (deflated 42%) 2025-09-07T09:53:56.1993959Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 48%) 2025-09-07T09:53:56.1994763Z adding: test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T09:53:56.1995567Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T09:53:56.1996401Z adding: test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 48%) 2025-09-07T09:53:56.1997072Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.csv (deflated 43%) 2025-09-07T09:53:56.1997965Z adding: test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 52%) 2025-09-07T09:53:56.1998662Z adding: test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_accuracy.csv (deflated 43%) 2025-09-07T09:53:56.2126490Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T09:53:56.2126827Z # Remove any previous usage logs if they exist 2025-09-07T09:53:56.2127098Z rm -f logs-*.zip 2025-09-07T09:53:56.2127555Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T09:53:56.2127940Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T09:53:56.2141210Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:53:56.2141502Z env: 2025-09-07T09:53:56.2141669Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:53:56.2141916Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:53:56.2142261Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:53:56.2142821Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:53:56.2143279Z DEVICE_NAME: 2025-09-07T09:53:56.2143448Z DEVICE_TYPE: 2025-09-07T09:53:56.2143736Z FILE_SUFFIX: test-inductor_torchbench_perf_cuda_h100-3-9-linux.aws.h100_49775781851 2025-09-07T09:53:56.2144074Z ##[endgroup] 2025-09-07T09:53:56.3310434Z adding: usage_log.txt (deflated 91%) 2025-09-07T09:53:56.3327239Z 2025-09-07T09:53:56.3327674Z zip error: Nothing to do! (logs-test-inductor_torchbench_perf_cuda_h100-3-9-linux.aws.h100_49775781851.zip) 2025-09-07T09:53:56.3670867Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T09:53:56.3671307Z # Remove any previous debugging artifacts if they exist 2025-09-07T09:53:56.3671649Z rm -f debug-*.zip 2025-09-07T09:53:56.3671896Z if [ -d 'test/debug' ]; then 2025-09-07T09:53:56.3672203Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T09:53:56.3672503Z fi 2025-09-07T09:53:56.3685794Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:53:56.3686093Z env: 2025-09-07T09:53:56.3686256Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:53:56.3686505Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:53:56.3686834Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:53:56.3687248Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:53:56.3687611Z DEVICE_NAME: 2025-09-07T09:53:56.3687784Z DEVICE_TYPE: 2025-09-07T09:53:56.3688075Z FILE_SUFFIX: test-inductor_torchbench_perf_cuda_h100-3-9-linux.aws.h100_49775781851 2025-09-07T09:53:56.3688409Z ##[endgroup] 2025-09-07T09:53:56.5391772Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T09:53:56.5392064Z with: 2025-09-07T09:53:56.5392249Z s3-bucket: gha-artifacts 2025-09-07T09:53:56.5392529Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T09:53:56.5392852Z retention-days: 14 2025-09-07T09:53:56.5393073Z if-no-files-found: warn 2025-09-07T09:53:56.5393306Z path: test-jsons-*.zip 2025-09-07T09:53:56.5393533Z name: artifact 2025-09-07T09:53:56.5393728Z region: us-east-1 2025-09-07T09:53:56.5393921Z env: 2025-09-07T09:53:56.5394095Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:53:56.5394389Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:53:56.5394785Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:53:56.5395297Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:53:56.5395910Z DEVICE_NAME: 2025-09-07T09:53:56.5396104Z DEVICE_TYPE: 2025-09-07T09:53:56.5396290Z ##[endgroup] 2025-09-07T09:53:56.8439445Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T09:53:56.8439978Z With the provided path, there will be 1 file uploaded 2025-09-07T09:53:56.8440632Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T09:53:56.8448370Z Starting upload of test-jsons-test-inductor_torchbench_perf_cuda_h100-3-9-linux.aws.h100_49775781851.zip 2025-09-07T09:53:57.0326211Z Finished upload of test-jsons-test-inductor_torchbench_perf_cuda_h100-3-9-linux.aws.h100_49775781851.zip 2025-09-07T09:53:57.0987394Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T09:53:57.0987677Z with: 2025-09-07T09:53:57.0987855Z s3-bucket: gha-artifacts 2025-09-07T09:53:57.0988114Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T09:53:57.0988653Z retention-days: 14 2025-09-07T09:53:57.0988873Z if-no-files-found: error 2025-09-07T09:53:57.0989094Z path: test-reports-*.zip 2025-09-07T09:53:57.0989289Z name: artifact 2025-09-07T09:53:57.0989464Z region: us-east-1 2025-09-07T09:53:57.0989645Z env: 2025-09-07T09:53:57.0989798Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:53:57.0990047Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:53:57.0990574Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:53:57.0991164Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:53:57.0991523Z DEVICE_NAME: 2025-09-07T09:53:57.0991689Z DEVICE_TYPE: 2025-09-07T09:53:57.0991856Z ##[endgroup] 2025-09-07T09:53:57.4490045Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T09:53:57.4490850Z With the provided path, there will be 1 file uploaded 2025-09-07T09:53:57.4491261Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T09:53:57.4499167Z Starting upload of test-reports-test-inductor_torchbench_perf_cuda_h100-3-9-linux.aws.h100_49775781851.zip 2025-09-07T09:53:57.6334306Z Finished upload of test-reports-test-inductor_torchbench_perf_cuda_h100-3-9-linux.aws.h100_49775781851.zip 2025-09-07T09:53:57.7105895Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T09:53:57.7106179Z with: 2025-09-07T09:53:57.7106360Z s3-bucket: gha-artifacts 2025-09-07T09:53:57.7106616Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T09:53:57.7106927Z retention-days: 14 2025-09-07T09:53:57.7107131Z if-no-files-found: ignore 2025-09-07T09:53:57.7107349Z path: logs-*.zip 2025-09-07T09:53:57.7107534Z name: artifact 2025-09-07T09:53:57.7107718Z region: us-east-1 2025-09-07T09:53:57.7107899Z env: 2025-09-07T09:53:57.7108074Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:53:57.7108351Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:53:57.7108743Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:53:57.7109237Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:53:57.7109634Z DEVICE_NAME: 2025-09-07T09:53:57.7109802Z DEVICE_TYPE: 2025-09-07T09:53:57.7109965Z ##[endgroup] 2025-09-07T09:53:58.0134798Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T09:53:58.0135304Z With the provided path, there will be 1 file uploaded 2025-09-07T09:53:58.0135797Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T09:53:58.0143893Z Starting upload of logs-test-inductor_torchbench_perf_cuda_h100-3-9-linux.aws.h100_49775781851.zip 2025-09-07T09:53:58.1705687Z Finished upload of logs-test-inductor_torchbench_perf_cuda_h100-3-9-linux.aws.h100_49775781851.zip 2025-09-07T09:53:58.2971391Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T09:53:58.2971747Z with: 2025-09-07T09:53:58.2972009Z s3-bucket: gha-artifacts 2025-09-07T09:53:58.2972349Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T09:53:58.2972719Z retention-days: 14 2025-09-07T09:53:58.2973215Z if-no-files-found: ignore 2025-09-07T09:53:58.2973516Z path: debug-*.zip 2025-09-07T09:53:58.2973787Z name: artifact 2025-09-07T09:53:58.2974043Z region: us-east-1 2025-09-07T09:53:58.2974306Z env: 2025-09-07T09:53:58.2974555Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:53:58.2974898Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:53:58.2975331Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:53:58.2975875Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:53:58.2976346Z DEVICE_NAME: 2025-09-07T09:53:58.2976608Z DEVICE_TYPE: 2025-09-07T09:53:58.2976866Z ##[endgroup] 2025-09-07T09:53:58.6958550Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T09:53:58.7385367Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T09:53:58.7385729Z # shellcheck disable=SC2156 2025-09-07T09:53:58.7386255Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T09:53:58.7401181Z shell: /usr/bin/bash -e {0} 2025-09-07T09:53:58.7401411Z env: 2025-09-07T09:53:58.7401585Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:53:58.7401849Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:53:58.7402179Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:53:58.7402591Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:53:58.7403117Z DEVICE_NAME: 2025-09-07T09:53:58.7403287Z DEVICE_TYPE: 2025-09-07T09:53:58.7403451Z ##[endgroup] 2025-09-07T09:53:59.8161385Z Prepare all required actions 2025-09-07T09:53:59.8161780Z Getting action download info 2025-09-07T09:54:00.0584431Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T09:54:00.0584743Z with: 2025-09-07T09:54:00.0584922Z job_id: 49775781851 2025-09-07T09:54:00.0585265Z job_name: test-weekly / test (inductor_torchbench_perf_cuda_h100, 3, 9, linux.aws.h100) 2025-09-07T09:54:00.0585702Z workflow_name: inductor-perf-nightly-h100 2025-09-07T09:54:00.0585974Z workflow_run_id: 17525296438 2025-09-07T09:54:00.0586202Z workflow_attempt: 1 2025-09-07T09:54:00.0586401Z env: 2025-09-07T09:54:00.0586567Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:00.0586834Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:00.0587203Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:54:00.0587688Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:54:00.0588091Z DEVICE_NAME: 2025-09-07T09:54:00.0588298Z DEVICE_TYPE: 2025-09-07T09:54:00.0588470Z ##[endgroup] 2025-09-07T09:54:00.4368583Z ##[group]Run echo "workflow_id: 17525296438" 2025-09-07T09:54:00.4368911Z echo "workflow_id: 17525296438" 2025-09-07T09:54:00.4369190Z echo "workflow_attempt: 1" 2025-09-07T09:54:00.4369505Z echo "workflow_Name: inductor-perf-nightly-h100" 2025-09-07T09:54:00.4369850Z echo "job_id: 49775781851" 2025-09-07T09:54:00.4370698Z echo "job_name: test-weekly / test (inductor_torchbench_perf_cuda_h100, 3, 9, linux.aws.h100)" 2025-09-07T09:54:00.4371125Z echo "artifact_prefix: " 2025-09-07T09:54:00.4371359Z python3 --version 2025-09-07T09:54:00.4386291Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:54:00.4386592Z env: 2025-09-07T09:54:00.4401618Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:00.4401954Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:00.4402325Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:54:00.4402756Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:54:00.4403116Z DEVICE_NAME: 2025-09-07T09:54:00.4403297Z DEVICE_TYPE: 2025-09-07T09:54:00.4403463Z ##[endgroup] 2025-09-07T09:54:00.5102717Z workflow_id: 17525296438 2025-09-07T09:54:00.5103481Z workflow_attempt: 1 2025-09-07T09:54:00.5103712Z workflow_Name: inductor-perf-nightly-h100 2025-09-07T09:54:00.5103989Z job_id: 49775781851 2025-09-07T09:54:00.5104324Z job_name: test-weekly / test (inductor_torchbench_perf_cuda_h100, 3, 9, linux.aws.h100) 2025-09-07T09:54:00.5104705Z artifact_prefix: 2025-09-07T09:54:00.5119966Z Python 3.10.12 2025-09-07T09:54:00.5585083Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T09:54:00.5585335Z with: 2025-09-07T09:54:00.5585510Z shell: bash 2025-09-07T09:54:00.5585689Z timeout_minutes: 5 2025-09-07T09:54:00.5585880Z max_attempts: 5 2025-09-07T09:54:00.5586080Z retry_wait_seconds: 30 2025-09-07T09:54:00.5586533Z command: set -eu python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7 2025-09-07T09:54:00.5587009Z polling_interval_seconds: 1 2025-09-07T09:54:00.5587235Z warning_on_retry: true 2025-09-07T09:54:00.5587444Z continue_on_error: false 2025-09-07T09:54:00.5587652Z env: 2025-09-07T09:54:00.5587813Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:00.5588090Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:00.5588461Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:54:00.5588936Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:54:00.5589328Z DEVICE_NAME: 2025-09-07T09:54:00.5589510Z DEVICE_TYPE: 2025-09-07T09:54:00.5589685Z ##[endgroup] 2025-09-07T09:54:01.0697177Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T09:54:01.3411880Z Collecting python-dateutil==2.8.2 2025-09-07T09:54:01.4019664Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T09:54:01.8572840Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 247.7/247.7 KB 526.1 kB/s eta 0:00:00 2025-09-07T09:54:02.8347492Z Collecting boto3==1.35.42 2025-09-07T09:54:02.8481772Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T09:54:03.1909976Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.2/139.2 KB 378.6 kB/s eta 0:00:00 2025-09-07T09:54:03.9942158Z Collecting pandas==2.1.3 2025-09-07T09:54:04.0063020Z Downloading pandas-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T09:54:05.1499241Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.3/12.3 MB 10.0 MB/s eta 0:00:00 2025-09-07T09:54:05.1873675Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/bob/.local/lib/python3.10/site-packages (0.6.7) 2025-09-07T09:54:05.1890508Z Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil==2.8.2) (1.16.0) 2025-09-07T09:54:05.1935995Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/bob/.local/lib/python3.10/site-packages (from boto3==1.35.42) (0.10.4) 2025-09-07T09:54:05.1941093Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /home/bob/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.0.1) 2025-09-07T09:54:05.1945456Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/bob/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.35.99) 2025-09-07T09:54:05.8463362Z Collecting pytz>=2020.1 2025-09-07T09:54:05.8582599Z Downloading pytz-2025.2-py2.py3-none-any.whl (509 kB) 2025-09-07T09:54:05.9098877Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 509.2/509.2 KB 10.1 MB/s eta 0:00:00 2025-09-07T09:54:06.4807333Z Collecting numpy<2,>=1.22.4 2025-09-07T09:54:06.4926960Z Downloading numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T09:54:07.2420995Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 18.2/18.2 MB 14.4 MB/s eta 0:00:00 2025-09-07T09:54:07.4994951Z Collecting tzdata>=2022.1 2025-09-07T09:54:07.5116705Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T09:54:07.8632757Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 347.8/347.8 KB 967.0 kB/s eta 0:00:00 2025-09-07T09:54:07.8717579Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/bob/.local/lib/python3.10/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-09-07T09:54:07.9116270Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/bob/.local/lib/python3.10/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-09-07T09:54:07.9117227Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.26.5) 2025-09-07T09:54:07.9118235Z Requirement already satisfied: packaging>=17.0 in /home/bob/.local/lib/python3.10/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-09-07T09:54:07.9119527Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/bob/.local/lib/python3.10/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-09-07T09:54:07.9120997Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/bob/.local/lib/python3.10/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0) 2025-09-07T09:54:08.3912222Z Installing collected packages: pytz, tzdata, python-dateutil, numpy, pandas, boto3 2025-09-07T09:54:13.2640618Z WARNING: The script f2py is installed in '/home/bob/.local/bin' which is not on PATH. 2025-09-07T09:54:13.2641362Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T09:54:19.5352705Z Attempting uninstall: boto3 2025-09-07T09:54:19.5358290Z Found existing installation: boto3 1.35.33 2025-09-07T09:54:19.5578576Z Uninstalling boto3-1.35.33: 2025-09-07T09:54:19.5598303Z Successfully uninstalled boto3-1.35.33 2025-09-07T09:54:19.9742434Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 pytz-2025.2 tzdata-2025.2 2025-09-07T09:54:20.8121822Z Command completed after 1 attempt(s). 2025-09-07T09:54:20.8199888Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T09:54:20.8202762Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T09:54:20.8203256Z  --workflow-run-id "17525296438" \ 2025-09-07T09:54:20.8203631Z  --workflow-name "inductor-perf-nightly-h100" \ 2025-09-07T09:54:20.8203984Z  --workflow-run-attempt "1" \ 2025-09-07T09:54:20.8204265Z  --job-id "49775781851" \ 2025-09-07T09:54:20.8204710Z  --job-name "test-weekly / test (inductor_torchbench_perf_cuda_h100, 3, 9, linux.aws.h100)" \ 2025-09-07T09:54:20.8205173Z  --local-path "" \ 2025-09-07T09:54:20.8205427Z  --artifact-prefix "" 2025-09-07T09:54:20.8219854Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:54:20.8220150Z env: 2025-09-07T09:54:20.8220524Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:20.8220778Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:20.8221117Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:54:20.8221532Z DOCKER_CONTAINER_ID: 814fd5585941e47f3180b379d8fe80098a54c31bcbfdb413836409403a42b699 2025-09-07T09:54:20.8222056Z DEVICE_NAME: 2025-09-07T09:54:20.8222215Z DEVICE_TYPE: 2025-09-07T09:54:20.8222394Z ##[endgroup] 2025-09-07T09:54:22.4690645Z repo: pytorch/pytorch 2025-09-07T09:54:22.4691059Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T09:54:22.4691615Z Downloading logs-test-inductor_torchbench_perf_cuda_h100-3-9-linux.aws.h100_49775781851.zip 2025-09-07T09:54:22.4692394Z extracting usage_log.txt from zip file logs-test-inductor_torchbench_perf_cuda_h100-3-9-linux.aws.h100_49775781851.zip 2025-09-07T09:54:22.4693029Z Converted Log Model: UtilizationMetadata: 2025-09-07T09:54:22.4694403Z UtilizationMetadata(level='metadata', workflow_id='17525296438', job_id='49775781851', workflow_name='inductor-perf-nightly-h100', job_name='test-weekly / test (inductor_torchbench_perf_cuda_h100, 3, 9, linux.aws.h100)', usage_collect_interval=4.0, data_model_version=1.5, start_at=1757233138, gpu_count=1, cpu_count=192, gpu_type='pynvml', error=None) 2025-09-07T09:54:22.4695812Z [Db Segments] detected pytest cmd: 5, generated segments: 5 2025-09-07T09:54:22.4696190Z [db model] Peek db timeseries 2025-09-07T09:54:22.4696463Z :{ 2025-09-07T09:54:22.4696628Z "created_at": 1757238862, 2025-09-07T09:54:22.4696844Z "type": "utilization", 2025-09-07T09:54:22.4697044Z "tags": [ 2025-09-07T09:54:22.4697202Z "record" 2025-09-07T09:54:22.4697371Z ], 2025-09-07T09:54:22.4697531Z "time_stamp": 1757233138, 2025-09-07T09:54:22.4698178Z "repo": "pytorch/pytorch", 2025-09-07T09:54:22.4698402Z "workflow_id": 17525296438, 2025-09-07T09:54:22.4698614Z "run_attempt": 1, 2025-09-07T09:54:22.4698807Z "job_id": 49775781851, 2025-09-07T09:54:22.4699051Z "workflow_name": "inductor-perf-nightly-h100", 2025-09-07T09:54:22.4699478Z "job_name": "test-weekly / test (inductor_torchbench_perf_cuda_h100, 3, 9, linux.aws.h100)", 2025-09-07T09:54:22.4699864Z "json_data": "{}" 2025-09-07T09:54:22.4700045Z } 2025-09-07T09:54:22.4700601Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525296438/1/49775781851/metadata 2025-09-07T09:54:22.4701347Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525296438/1/49775781851/metadata 2025-09-07T09:54:22.4702115Z Writing 377 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525296438/1/49775781851/time_series 2025-09-07T09:54:22.4702891Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525296438/1/49775781851/time_series 2025-09-07T09:54:22.5783621Z Post job cleanup. 2025-09-07T09:54:22.7285591Z Post job cleanup. 2025-09-07T09:54:22.8911716Z [command]/usr/bin/git version 2025-09-07T09:54:22.8951474Z git version 2.50.1 2025-09-07T09:54:22.8991497Z Temporarily overriding HOME='/home/bob/_work/_temp/e15878c8-c62b-418f-a335-e8d588ad68f5' before making global git config changes 2025-09-07T09:54:22.8992224Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T09:54:22.8996058Z [command]/usr/bin/git config --global --add safe.directory /home/bob/_work/pytorch/pytorch 2025-09-07T09:54:22.9045888Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T09:54:22.9088058Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T09:54:23.0272134Z Entering 'android/libs/fbjni' 2025-09-07T09:54:23.0328812Z Entering 'third_party/FP16' 2025-09-07T09:54:23.0380967Z Entering 'third_party/FXdiv' 2025-09-07T09:54:23.0431341Z Entering 'third_party/NNPACK' 2025-09-07T09:54:23.0481180Z Entering 'third_party/NVTX' 2025-09-07T09:54:23.0715806Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:54:23.0765631Z Entering 'third_party/XNNPACK' 2025-09-07T09:54:23.0838892Z Entering 'third_party/aiter' 2025-09-07T09:54:23.0893362Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:54:23.0953422Z Entering 'third_party/benchmark' 2025-09-07T09:54:23.1004213Z Entering 'third_party/composable_kernel' 2025-09-07T09:54:23.1065988Z Entering 'third_party/cpp-httplib' 2025-09-07T09:54:23.1117270Z Entering 'third_party/cpuinfo' 2025-09-07T09:54:23.1166222Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:54:23.1216199Z Entering 'third_party/cutlass' 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Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:54:23.2221078Z Entering 'third_party/gloo' 2025-09-07T09:54:23.2271126Z Entering 'third_party/googletest' 2025-09-07T09:54:23.2320566Z Entering 'third_party/ideep' 2025-09-07T09:54:23.2369169Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:54:23.2425597Z Entering 'third_party/ittapi' 2025-09-07T09:54:23.2875932Z Entering 'third_party/kineto' 2025-09-07T09:54:23.2931853Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:54:23.2979436Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:54:23.3030853Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:54:23.3079424Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:54:23.3126886Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:54:23.3179064Z Entering 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Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:54:23.5630891Z Entering 'third_party/pocketfft' 2025-09-07T09:54:23.5682467Z Entering 'third_party/protobuf' 2025-09-07T09:54:23.5734677Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:54:23.5783272Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:54:23.5833604Z Entering 'third_party/psimd' 2025-09-07T09:54:23.5884945Z Entering 'third_party/pthreadpool' 2025-09-07T09:54:23.5936090Z Entering 'third_party/pybind11' 2025-09-07T09:54:23.5985604Z Entering 'third_party/python-peachpy' 2025-09-07T09:54:23.6035260Z Entering 'third_party/sleef' 2025-09-07T09:54:23.6085222Z Entering 'third_party/tensorpipe' 2025-09-07T09:54:23.6135759Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:54:23.6183560Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:54:23.6229495Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:54:23.6276024Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:54:23.6321529Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:54:23.6394563Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T09:54:23.6423150Z http.https://github.com/.extraheader 2025-09-07T09:54:23.6432579Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T09:54:23.6480424Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T09:54:23.6746470Z Entering 'android/libs/fbjni' 2025-09-07T09:54:23.6774850Z http.https://github.com/.extraheader 2025-09-07T09:54:23.6815188Z Entering 'third_party/FP16' 2025-09-07T09:54:23.6847641Z http.https://github.com/.extraheader 2025-09-07T09:54:23.7680944Z Entering 'third_party/FXdiv' 2025-09-07T09:54:23.7711035Z http.https://github.com/.extraheader 2025-09-07T09:54:23.7806229Z Entering 'third_party/NNPACK' 2025-09-07T09:54:23.7835238Z http.https://github.com/.extraheader 2025-09-07T09:54:23.8211294Z Entering 'third_party/NVTX' 2025-09-07T09:54:23.8239065Z http.https://github.com/.extraheader 2025-09-07T09:54:23.8354698Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:54:23.8382166Z http.https://github.com/.extraheader 2025-09-07T09:54:23.8456116Z Entering 'third_party/XNNPACK' 2025-09-07T09:54:23.8484480Z http.https://github.com/.extraheader 2025-09-07T09:54:23.8897017Z Entering 'third_party/aiter' 2025-09-07T09:54:23.8929975Z http.https://github.com/.extraheader 2025-09-07T09:54:23.8970776Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:54:23.8998085Z http.https://github.com/.extraheader 2025-09-07T09:54:23.9042872Z Entering 'third_party/benchmark' 2025-09-07T09:54:23.9071769Z http.https://github.com/.extraheader 2025-09-07T09:54:23.9117020Z Entering 'third_party/composable_kernel' 2025-09-07T09:54:23.9145264Z http.https://github.com/.extraheader 2025-09-07T09:54:23.9223772Z Entering 'third_party/cpp-httplib' 2025-09-07T09:54:23.9252645Z http.https://github.com/.extraheader 2025-09-07T09:54:23.9295334Z Entering 'third_party/cpuinfo' 2025-09-07T09:54:23.9323064Z http.https://github.com/.extraheader 2025-09-07T09:54:23.9358819Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:54:23.9386557Z http.https://github.com/.extraheader 2025-09-07T09:54:23.9520650Z Entering 'third_party/cutlass' 2025-09-07T09:54:23.9547773Z http.https://github.com/.extraheader 2025-09-07T09:54:23.9674457Z Entering 'third_party/fbgemm' 2025-09-07T09:54:23.9702265Z http.https://github.com/.extraheader 2025-09-07T09:54:23.9994608Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:54:24.0021549Z http.https://github.com/.extraheader 2025-09-07T09:54:24.0497100Z Entering 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http.https://github.com/.extraheader 2025-09-07T09:54:25.0193468Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:54:25.0224394Z http.https://github.com/.extraheader 2025-09-07T09:54:25.1848449Z Entering 'third_party/ittapi' 2025-09-07T09:54:25.1883146Z http.https://github.com/.extraheader 2025-09-07T09:54:25.2334020Z Entering 'third_party/kineto' 2025-09-07T09:54:25.2365889Z http.https://github.com/.extraheader 2025-09-07T09:54:25.2780165Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:54:25.2808957Z http.https://github.com/.extraheader 2025-09-07T09:54:25.4621709Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:54:25.4652158Z http.https://github.com/.extraheader 2025-09-07T09:54:25.5158613Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:54:25.5193166Z http.https://github.com/.extraheader 2025-09-07T09:54:25.5611830Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:54:25.5638632Z http.https://github.com/.extraheader 2025-09-07T09:54:25.6042420Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:54:25.6071298Z http.https://github.com/.extraheader 2025-09-07T09:54:25.6518058Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:54:25.6549107Z http.https://github.com/.extraheader 2025-09-07T09:54:25.6588367Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:54:25.6616302Z http.https://github.com/.extraheader 2025-09-07T09:54:25.6652610Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:54:25.6680539Z http.https://github.com/.extraheader 2025-09-07T09:54:25.6716658Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:54:25.6744630Z http.https://github.com/.extraheader 2025-09-07T09:54:25.6793601Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:54:25.6809420Z http.https://github.com/.extraheader 2025-09-07T09:54:25.6851327Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:54:25.6878344Z http.https://github.com/.extraheader 2025-09-07T09:54:25.7920382Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:54:25.7951388Z http.https://github.com/.extraheader 2025-09-07T09:54:25.7992190Z Entering 'third_party/kleidiai' 2025-09-07T09:54:25.8021471Z http.https://github.com/.extraheader 2025-09-07T09:54:25.8424341Z Entering 'third_party/mimalloc' 2025-09-07T09:54:25.8451323Z http.https://github.com/.extraheader 2025-09-07T09:54:25.8903937Z Entering 'third_party/nlohmann' 2025-09-07T09:54:25.8934456Z http.https://github.com/.extraheader 2025-09-07T09:54:25.8973202Z Entering 'third_party/onnx' 2025-09-07T09:54:25.9001719Z http.https://github.com/.extraheader 2025-09-07T09:54:25.9054692Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:54:25.9082966Z http.https://github.com/.extraheader 2025-09-07T09:54:26.0430567Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:54:26.0461018Z http.https://github.com/.extraheader 2025-09-07T09:54:26.2178696Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:54:26.2211848Z http.https://github.com/.extraheader 2025-09-07T09:54:26.2252267Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:54:26.2280626Z http.https://github.com/.extraheader 2025-09-07T09:54:26.2318729Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:54:26.2345223Z http.https://github.com/.extraheader 2025-09-07T09:54:26.2384321Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:54:26.2413696Z http.https://github.com/.extraheader 2025-09-07T09:54:26.2467870Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:54:26.2494736Z http.https://github.com/.extraheader 2025-09-07T09:54:26.2734317Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:54:26.2760334Z http.https://github.com/.extraheader 2025-09-07T09:54:26.2807873Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:54:26.2834055Z http.https://github.com/.extraheader 2025-09-07T09:54:26.3262731Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:54:26.3291978Z http.https://github.com/.extraheader 2025-09-07T09:54:26.4907394Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:54:26.4935233Z http.https://github.com/.extraheader 2025-09-07T09:54:26.5427668Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:54:26.5456523Z http.https://github.com/.extraheader 2025-09-07T09:54:26.5928520Z Entering 'third_party/pocketfft' 2025-09-07T09:54:26.5961258Z http.https://github.com/.extraheader 2025-09-07T09:54:26.5997066Z Entering 'third_party/protobuf' 2025-09-07T09:54:26.6025421Z http.https://github.com/.extraheader 2025-09-07T09:54:26.6064811Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:54:26.6093825Z http.https://github.com/.extraheader 2025-09-07T09:54:26.6128707Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:54:26.6157716Z http.https://github.com/.extraheader 2025-09-07T09:54:26.6200149Z Entering 'third_party/psimd' 2025-09-07T09:54:26.6229618Z http.https://github.com/.extraheader 2025-09-07T09:54:26.6265104Z Entering 'third_party/pthreadpool' 2025-09-07T09:54:26.6293368Z http.https://github.com/.extraheader 2025-09-07T09:54:26.6328533Z Entering 'third_party/pybind11' 2025-09-07T09:54:26.6356561Z http.https://github.com/.extraheader 2025-09-07T09:54:26.6392348Z Entering 'third_party/python-peachpy' 2025-09-07T09:54:26.6419807Z http.https://github.com/.extraheader 2025-09-07T09:54:26.6454841Z Entering 'third_party/sleef' 2025-09-07T09:54:26.6483562Z http.https://github.com/.extraheader 2025-09-07T09:54:26.6518829Z Entering 'third_party/tensorpipe' 2025-09-07T09:54:26.6546722Z http.https://github.com/.extraheader 2025-09-07T09:54:26.6580651Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:54:26.6608398Z http.https://github.com/.extraheader 2025-09-07T09:54:26.6643660Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:54:26.6669309Z http.https://github.com/.extraheader 2025-09-07T09:54:26.6703106Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:54:26.6729462Z http.https://github.com/.extraheader 2025-09-07T09:54:26.6763706Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:54:26.6789360Z http.https://github.com/.extraheader 2025-09-07T09:54:26.7577223Z Entering 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2025-09-07T09:54:27.2348447Z Entering 'third_party/pocketfft' 2025-09-07T09:54:27.2403970Z Entering 'third_party/protobuf' 2025-09-07T09:54:27.2456030Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:54:27.2505063Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:54:27.2557348Z Entering 'third_party/psimd' 2025-09-07T09:54:27.2606586Z Entering 'third_party/pthreadpool' 2025-09-07T09:54:27.2656025Z Entering 'third_party/pybind11' 2025-09-07T09:54:27.2706012Z Entering 'third_party/python-peachpy' 2025-09-07T09:54:27.2755094Z Entering 'third_party/sleef' 2025-09-07T09:54:27.2804942Z Entering 'third_party/tensorpipe' 2025-09-07T09:54:27.2853870Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:54:27.2903135Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:54:27.2951559Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:54:27.3000604Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:54:27.3048243Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:54:27.3124126Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T09:54:27.3159392Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T09:54:27.3419834Z Entering 'android/libs/fbjni' 2025-09-07T09:54:27.3469965Z Entering 'third_party/FP16' 2025-09-07T09:54:27.3519564Z Entering 'third_party/FXdiv' 2025-09-07T09:54:27.3568493Z Entering 'third_party/NNPACK' 2025-09-07T09:54:27.3617738Z Entering 'third_party/NVTX' 2025-09-07T09:54:27.3667893Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:54:27.3716617Z Entering 'third_party/XNNPACK' 2025-09-07T09:54:27.3779862Z Entering 'third_party/aiter' 2025-09-07T09:54:27.3829607Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:54:27.3887209Z Entering 'third_party/benchmark' 2025-09-07T09:54:27.3939213Z Entering 'third_party/composable_kernel' 2025-09-07T09:54:27.3996329Z Entering 'third_party/cpp-httplib' 2025-09-07T09:54:27.4046208Z Entering 'third_party/cpuinfo' 2025-09-07T09:54:27.4095767Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:54:27.4145674Z Entering 'third_party/cutlass' 2025-09-07T09:54:27.4204444Z Entering 'third_party/fbgemm' 2025-09-07T09:54:27.4255332Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:54:27.4302810Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:54:27.4355414Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:54:27.4401570Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:54:27.4455270Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:54:27.4501385Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:54:27.4546474Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:54:27.4596505Z Entering 'third_party/flash-attention' 2025-09-07T09:54:27.4652011Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:54:27.4703822Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:54:27.4760065Z Entering 'third_party/flatbuffers' 2025-09-07T09:54:27.4813483Z Entering 'third_party/fmt' 2025-09-07T09:54:27.4862151Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:54:27.4911042Z Entering 'third_party/gloo' 2025-09-07T09:54:27.4959467Z Entering 'third_party/googletest' 2025-09-07T09:54:27.5008386Z Entering 'third_party/ideep' 2025-09-07T09:54:27.5055952Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:54:27.5111387Z Entering 'third_party/ittapi' 2025-09-07T09:54:27.5160830Z Entering 'third_party/kineto' 2025-09-07T09:54:27.5215533Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:54:27.5264473Z Entering 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