2025-09-07T07:45:24.6534339Z Current runner version: '2.328.0' 2025-09-07T07:45:24.6539914Z Runner name: 'i-0d3ed1ff3ccbeec77-1002' 2025-09-07T07:45:24.6540789Z Runner group name: 'default' 2025-09-07T07:45:24.6541541Z Machine name: '67d851dd8218' 2025-09-07T07:45:24.6543944Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T07:45:24.6545925Z Contents: read 2025-09-07T07:45:24.6546614Z Metadata: read 2025-09-07T07:45:24.6547115Z ##[endgroup] 2025-09-07T07:45:24.6549241Z Secret source: Actions 2025-09-07T07:45:24.6550327Z Prepare workflow directory 2025-09-07T07:45:24.7261591Z Prepare all required actions 2025-09-07T07:45:24.7295388Z Getting action download info 2025-09-07T07:45:25.1497244Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T07:46:14.4446035Z Download action repository 'pytorch/pytorch@main' (SHA:ada43ed39c80b746b4822c92640a1882619e2795) 2025-09-07T07:48:33.8938322Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T07:48:36.2942363Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T07:48:37.7151504Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T07:48:38.9475643Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:48:40.0038391Z Getting action download info 2025-09-07T07:48:40.1178898Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T07:48:41.5807572Z Getting action download info 2025-09-07T07:48:41.7048883Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T07:48:42.3875084Z Getting action download info 2025-09-07T07:48:42.4906857Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T07:48:43.1749237Z Getting action download info 2025-09-07T07:48:43.2936735Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:48:43.2940443Z ##[group] Inputs 2025-09-07T07:48:43.2940781Z build-environment: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T07:48:43.2945873Z 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"}]} 2025-09-07T07:48:43.2951614Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:48:43.2952336Z sync-tag: 2025-09-07T07:48:43.2953042Z timeout-minutes: 1440 2025-09-07T07:48:43.2953272Z use-gha: 2025-09-07T07:48:43.2954141Z 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 2025-09-07T07:48:43.2955046Z s3-bucket: gha-artifacts 2025-09-07T07:48:43.2955254Z aws-role-to-assume: 2025-09-07T07:48:43.2955756Z disable-monitor: false 2025-09-07T07:48:43.2956010Z monitor-log-interval: 15 2025-09-07T07:48:43.2956247Z monitor-data-collect-interval: 4 2025-09-07T07:48:43.2956490Z ##[endgroup] 2025-09-07T07:48:43.2956814Z Complete job name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 4, 5, linux.aws.h100) 2025-09-07T07:48:43.3625778Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T07:48:43.3626503Z with: 2025-09-07T07:48:43.3626964Z github-secret: *** 2025-09-07T07:48:43.3627679Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T07:48:43.3628250Z activate-with-label: false 2025-09-07T07:48:43.3628462Z label: with-ssh 2025-09-07T07:48:43.3628670Z remove-existing-keys: true 2025-09-07T07:48:43.3628883Z fail-silently: true 2025-09-07T07:48:43.3629563Z env: 2025-09-07T07:48:43.3629766Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:43.3629973Z ##[endgroup] 2025-09-07T07:48:43.4692381Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T07:48:43.4693265Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T07:48:43.5197442Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T07:48:43.5197841Z with: 2025-09-07T07:48:43.5198013Z no-sudo: true 2025-09-07T07:48:43.5198198Z submodules: recursive 2025-09-07T07:48:43.5198466Z fetch-depth: 0 2025-09-07T07:48:43.5198653Z env: 2025-09-07T07:48:43.5198816Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:43.5199056Z ##[endgroup] 2025-09-07T07:48:43.6061564Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:48:43.6062358Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:48:43.6084797Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:48:43.6085116Z env: 2025-09-07T07:48:43.6085290Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:43.6085483Z ##[endgroup] 2025-09-07T07:48:43.6907864Z ##[group]Run actions/checkout@v4 2025-09-07T07:48:43.6908125Z with: 2025-09-07T07:48:43.6908345Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:48:43.6908611Z fetch-depth: 0 2025-09-07T07:48:43.6908810Z submodules: recursive 2025-09-07T07:48:43.6909006Z show-progress: false 2025-09-07T07:48:43.6909226Z repository: pytorch/pytorch 2025-09-07T07:48:43.6909813Z token: *** 2025-09-07T07:48:43.6909994Z ssh-strict: true 2025-09-07T07:48:43.6910183Z ssh-user: git 2025-09-07T07:48:43.6910360Z persist-credentials: true 2025-09-07T07:48:43.6910585Z clean: true 2025-09-07T07:48:43.6910793Z sparse-checkout-cone-mode: true 2025-09-07T07:48:43.6911037Z fetch-tags: false 2025-09-07T07:48:43.6911217Z lfs: false 2025-09-07T07:48:43.6911418Z set-safe-directory: true 2025-09-07T07:48:43.6911632Z env: 2025-09-07T07:48:43.6911805Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:43.6912004Z ##[endgroup] 2025-09-07T07:48:43.7861928Z Syncing repository: pytorch/pytorch 2025-09-07T07:48:43.7863203Z ##[group]Getting Git version info 2025-09-07T07:48:43.7863552Z Working directory is '/home/bob/_work/pytorch/pytorch' 2025-09-07T07:48:43.7864035Z [command]/usr/bin/git version 2025-09-07T07:48:43.7864272Z git version 2.51.0 2025-09-07T07:48:43.7887204Z ##[endgroup] 2025-09-07T07:48:43.7898371Z Temporarily overriding HOME='/home/bob/_work/_temp/b46b5c6a-5e85-48c5-96e2-f96ae0f73531' before making global git config changes 2025-09-07T07:48:43.7899067Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:48:43.7903017Z [command]/usr/bin/git config --global --add safe.directory /home/bob/_work/pytorch/pytorch 2025-09-07T07:48:43.8096838Z Deleting the contents of '/home/bob/_work/pytorch/pytorch' 2025-09-07T07:48:43.8100505Z ##[group]Initializing the repository 2025-09-07T07:48:43.8103634Z [command]/usr/bin/git init /home/bob/_work/pytorch/pytorch 2025-09-07T07:48:43.9491892Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T07:48:43.9492420Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T07:48:43.9492841Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T07:48:43.9493145Z hint: 2025-09-07T07:48:43.9493382Z hint: git config --global init.defaultBranch 2025-09-07T07:48:43.9493653Z hint: 2025-09-07T07:48:43.9493911Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T07:48:43.9494337Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T07:48:43.9494651Z hint: 2025-09-07T07:48:43.9494882Z hint: git branch -m 2025-09-07T07:48:43.9495083Z hint: 2025-09-07T07:48:43.9495346Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-09-07T07:48:43.9495819Z Initialized empty Git repository in /home/bob/_work/pytorch/pytorch/.git/ 2025-09-07T07:48:43.9502926Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T07:48:44.0340720Z ##[endgroup] 2025-09-07T07:48:44.0341733Z ##[group]Disabling automatic garbage collection 2025-09-07T07:48:44.0346144Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:48:44.1426847Z ##[endgroup] 2025-09-07T07:48:44.1427207Z ##[group]Setting up auth 2025-09-07T07:48:44.1432596Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:48:44.1468992Z [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' || :" 2025-09-07T07:48:44.1728307Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:48:44.1757511Z [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' || :" 2025-09-07T07:48:44.2002112Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:48:44.2831424Z ##[endgroup] 2025-09-07T07:48:44.2831900Z ##[group]Fetching the repository 2025-09-07T07:48:44.2838167Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:49:34.2290895Z From https://github.com/pytorch/pytorch 2025-09-07T07:49:34.2291872Z * [new branch] 160583 -> origin/160583 2025-09-07T07:49:34.2292716Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T07:49:34.2293914Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T07:49:34.2295118Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T07:49:34.2296260Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T07:49:34.2297693Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T07:49:34.2298810Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T07:49:34.2299939Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T07:49:34.2300928Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T07:49:34.2301528Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T07:49:34.2302114Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T07:49:34.2302673Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T07:49:34.2303182Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T07:49:34.2303762Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T07:49:34.2304308Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T07:49:34.2304881Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T07:49:34.2305530Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T07:49:34.2306183Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T07:49:34.2306773Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T07:49:34.2307494Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T07:49:34.2308055Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T07:49:34.2308525Z * [new branch] addsimde -> origin/addsimde 2025-09-07T07:49:34.2309343Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T07:49:34.2309947Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T07:49:34.2310494Z * [new branch] adi/test -> origin/adi/test 2025-09-07T07:49:34.2311009Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T07:49:34.2311556Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T07:49:34.2312041Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T07:49:34.2312526Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T07:49:34.2313026Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T07:49:34.2313481Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T07:49:34.2313965Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T07:49:34.2314416Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T07:49:34.2314867Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T07:49:34.2315341Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T07:49:34.2316186Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T07:49:34.2316672Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T07:49:34.2317104Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T07:49:34.2317784Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T07:49:34.2318353Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T07:49:34.2318844Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T07:49:34.2319323Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T07:49:34.2319763Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T07:49:34.2320264Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T07:49:34.2320731Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T07:49:34.2321171Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T07:49:34.2321678Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T07:49:34.2322103Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T07:49:34.2322556Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T07:49:34.2323008Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T07:49:34.2323473Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T07:49:34.2323922Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-09-07T07:49:34.2324345Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-09-07T07:49:34.2324846Z * [new branch] aoti-cuda-alloc -> origin/aoti-cuda-alloc 2025-09-07T07:49:34.2325250Z * [new branch] aoti_target_windows -> origin/aoti_target_windows 2025-09-07T07:49:34.2325680Z * [new branch] aoti_weight_sharing -> origin/aoti_weight_sharing 2025-09-07T07:49:34.2326164Z * [new branch] atalman-inductor-perf-cu124 -> origin/atalman-inductor-perf-cu124 2025-09-07T07:49:34.2326876Z * [new branch] atalman-inductor-perf-cu124.1 -> origin/atalman-inductor-perf-cu124.1 2025-09-07T07:49:34.2327537Z * [new branch] atalman-patch-1 -> origin/atalman-patch-1 2025-09-07T07:49:34.2327989Z * [new branch] atalman-patch-3 -> origin/atalman-patch-3 2025-09-07T07:49:34.2328418Z * [new branch] atalman-patch-4 -> origin/atalman-patch-4 2025-09-07T07:49:34.2328856Z * [new branch] atalman-patch-5 -> origin/atalman-patch-5 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2025-09-07T07:49:34.3588345Z * [new branch] xmfan/ca_fix_polyfills -> origin/xmfan/ca_fix_polyfills 2025-09-07T07:49:34.3588474Z * [new branch] xmfan/ca_jan3 -> origin/xmfan/ca_jan3 2025-09-07T07:49:34.3588607Z * [new branch] xmfan/ca_jun18 -> origin/xmfan/ca_jun18 2025-09-07T07:49:34.3588735Z * [new branch] xmfan/ca_jun24 -> origin/xmfan/ca_jun24 2025-09-07T07:49:34.3588881Z * [new branch] xmfan/ca_mem_base -> origin/xmfan/ca_mem_base 2025-09-07T07:49:34.3589016Z * [new branch] xmfan/ca_mem_fix -> origin/xmfan/ca_mem_fix 2025-09-07T07:49:34.3589173Z * [new branch] xmfan/ca_memory_fix -> origin/xmfan/ca_memory_fix 2025-09-07T07:49:34.3589345Z * [new branch] xmfan/ca_memory_fix_rebased -> origin/xmfan/ca_memory_fix_rebased 2025-09-07T07:49:34.3589529Z * [new branch] xmfan/ca_memory_fix_rebased2 -> origin/xmfan/ca_memory_fix_rebased2 2025-09-07T07:49:34.3589680Z * [new branch] xmfan/ca_move_to_cuda -> origin/xmfan/ca_move_to_cuda 2025-09-07T07:49:34.3589815Z * [new branch] xmfan/ca_nested -> origin/xmfan/ca_nested 2025-09-07T07:49:34.3589969Z * [new branch] xmfan/ca_overhead -> origin/xmfan/ca_overhead 2025-09-07T07:49:34.3590149Z * [new branch] xmfan/ca_overhead_0eba7e5451 -> origin/xmfan/ca_overhead_0eba7e5451 2025-09-07T07:49:34.3590285Z * [new branch] xmfan/ca_scalar -> origin/xmfan/ca_scalar 2025-09-07T07:49:34.3590451Z * [new branch] xmfan/ca_subclass_mem_fix -> origin/xmfan/ca_subclass_mem_fix 2025-09-07T07:49:34.3590597Z * [new branch] xmfan/ca_warm_mem -> origin/xmfan/ca_warm_mem 2025-09-07T07:49:34.3590751Z * [new branch] xmfan/ca_warm_mem_base -> origin/xmfan/ca_warm_mem_base 2025-09-07T07:49:34.3590887Z * [new branch] xmfan/cacu_jun18 -> origin/xmfan/cacu_jun18 2025-09-07T07:49:34.3591023Z * [new branch] xmfan/cacu_jun19 -> origin/xmfan/cacu_jun19 2025-09-07T07:49:34.3591158Z * [new branch] xmfan/cacu_jun4 -> origin/xmfan/cacu_jun4 2025-09-07T07:49:34.3591446Z * [new branch] xmfan/cacu_may27 -> origin/xmfan/cacu_may27 2025-09-07T07:49:34.3591627Z * [new branch] xmfan/disable_duck_shape -> origin/xmfan/disable_duck_shape 2025-09-07T07:49:34.3591827Z * [new branch] xmfan/fca_cpp_node_passthrough -> origin/xmfan/fca_cpp_node_passthrough 2025-09-07T07:49:34.3591980Z * [new branch] xmfan/issue_123374 -> origin/xmfan/issue_123374 2025-09-07T07:49:34.3592291Z * [new branch] xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T07:49:34.3592592Z * [new branch] xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T07:49:34.3592742Z * [new branch] xmfan/segfault_test -> origin/xmfan/segfault_test 2025-09-07T07:49:34.3592894Z * [new branch] xmfan/single_step -> origin/xmfan/single_step 2025-09-07T07:49:34.3593032Z * [new branch] xmfan/sth_0829 -> origin/xmfan/sth_0829 2025-09-07T07:49:34.3593159Z * [new branch] xmfan/test -> origin/xmfan/test 2025-09-07T07:49:34.3593349Z * [new branch] yguo/debug-0226-constexpr -> origin/yguo/debug-0226-constexpr 2025-09-07T07:49:34.3593618Z * [new branch] yguo/new_latest_changes -> origin/yguo/new_latest_changes 2025-09-07T07:49:34.3593812Z * [new branch] yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes 2025-09-07T07:49:34.3593963Z * [new branch] yihan_quantization -> origin/yihan_quantization 2025-09-07T07:49:34.3594155Z * [new branch] yiming/add_jit_trace_benchmark -> origin/yiming/add_jit_trace_benchmark 2025-09-07T07:49:34.3594346Z * [new branch] yiming/add_nativert_benchmark -> origin/yiming/add_nativert_benchmark 2025-09-07T07:49:34.3594488Z * [new branch] yiming/bootcamp -> origin/yiming/bootcamp 2025-09-07T07:49:34.3594638Z * [new branch] zainr/canary-test -> origin/zainr/canary-test 2025-09-07T07:49:34.3594819Z * [new branch] zainr/cleanup-gh-runners -> origin/zainr/cleanup-gh-runners 2025-09-07T07:49:34.3594971Z * [new branch] zainr/git-push-v2 -> origin/zainr/git-push-v2 2025-09-07T07:49:34.3595143Z * [new branch] zainr/pull-migration-c -> origin/zainr/pull-migration-c 2025-09-07T07:49:34.3595269Z * [new branch] zainr/test -> origin/zainr/test 2025-09-07T07:49:34.3595404Z * [new branch] zainr/test2 -> origin/zainr/test2 2025-09-07T07:49:34.3595540Z * [new branch] zainr/unstable -> origin/zainr/unstable 2025-09-07T07:49:34.3595694Z * [new branch] zainr/unstable-xla -> origin/zainr/unstable-xla 2025-09-07T07:49:34.3595847Z * [new branch] zasdfgbnm-patch-3 -> origin/zasdfgbnm-patch-3 2025-09-07T07:49:34.3595969Z * [new branch] zb2p -> origin/zb2p 2025-09-07T07:49:34.3596128Z * [new branch] zero_grad_optimization -> origin/zero_grad_optimization 2025-09-07T07:49:34.3596299Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-09-07T07:49:34.3596460Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-09-07T07:49:34.3596618Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-09-07T07:49:34.3596749Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T07:49:34.3597086Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T07:49:34.3597208Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T07:49:34.3597623Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T07:49:34.3597762Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T07:49:34.3597895Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T07:49:34.3598021Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T07:49:34.3598155Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T07:49:34.3598282Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T07:49:34.3598411Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T07:49:34.3598542Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T07:49:34.3598667Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T07:49:34.3598799Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T07:49:34.3598982Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T07:49:34.3599156Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T07:49:34.3599319Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T07:49:34.3599608Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T07:49:34.3599773Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T07:49:34.3599922Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T07:49:34.3600073Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T07:49:34.3600220Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T07:49:34.3600364Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T07:49:34.3600530Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T07:49:34.3600674Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T07:49:34.3600823Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T07:49:34.3600961Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T07:49:34.3601100Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T07:49:34.3601237Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T07:49:34.3601374Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T07:49:34.3601515Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T07:49:34.3601652Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T07:49:34.3601793Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T07:49:34.3601929Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T07:49:34.3602075Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T07:49:34.3602212Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T07:49:34.3602326Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T07:49:34.3602444Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T07:49:34.3602554Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T07:49:34.3602762Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T07:49:34.3602874Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T07:49:34.3603151Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T07:49:34.3603391Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T07:49:34.3603571Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T07:49:34.3603755Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T07:49:34.3603927Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T07:49:34.3604079Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T07:49:34.3604225Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T07:49:34.3604366Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T07:49:34.3604511Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T07:49:34.3604651Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T07:49:34.3604899Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T07:49:34.3605030Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T07:49:34.3605162Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T07:49:34.3605289Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T07:49:34.3605417Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T07:49:34.3605547Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T07:49:34.3605675Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T07:49:34.3605800Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T07:49:34.3605927Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T07:49:34.3606054Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T07:49:34.3606179Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T07:49:34.3606302Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T07:49:34.3606425Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T07:49:34.3606552Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T07:49:34.3606680Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T07:49:34.3606807Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T07:49:34.3606929Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T07:49:34.3607055Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T07:49:34.3607181Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T07:49:34.3607424Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T07:49:34.3607554Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T07:49:34.3607677Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T07:49:34.3607803Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T07:49:34.3607926Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T07:49:34.3608237Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T07:49:34.3608375Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T07:49:34.3608499Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T07:49:34.3608638Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T07:49:34.3608767Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T07:49:34.3608894Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T07:49:34.3609021Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T07:49:34.3609144Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T07:49:34.3609268Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T07:49:34.3609394Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T07:49:34.3609519Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T07:49:34.3609642Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T07:49:34.3609766Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T07:49:34.3610034Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T07:49:34.3610158Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T07:49:34.3610284Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T07:49:34.3610406Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T07:49:34.3610530Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T07:49:34.3610656Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T07:49:34.3610780Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T07:49:34.3610905Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T07:49:34.3611050Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T07:49:34.3611179Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T07:49:34.3611304Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T07:49:34.3611428Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T07:49:34.3611552Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T07:49:34.3611679Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T07:49:34.3611808Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T07:49:34.3611935Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T07:49:34.3612061Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T07:49:34.3612185Z * [new tag] ciflow/inductor/160928 -> ciflow/inductor/160928 2025-09-07T07:49:34.3612310Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T07:49:34.3612451Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T07:49:34.3612581Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T07:49:34.3612708Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T07:49:34.3612834Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T07:49:34.3613057Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T07:49:34.3613191Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T07:49:34.3613314Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T07:49:34.3613440Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T07:49:34.3613566Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T07:49:34.3613692Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T07:49:34.3613816Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T07:49:34.3613941Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T07:49:34.3614070Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T07:49:34.3614197Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T07:49:34.3614326Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T07:49:34.3614452Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T07:49:34.3614579Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T07:49:34.3614892Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T07:49:34.3615027Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T07:49:34.3615157Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T07:49:34.3615284Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T07:49:34.3615414Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T07:49:34.3615544Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T07:49:34.3615669Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T07:49:34.3615799Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T07:49:34.3615923Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T07:49:34.3616059Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T07:49:34.3616184Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T07:49:34.3616309Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T07:49:34.3616437Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T07:49:34.3616566Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T07:49:34.3616695Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T07:49:34.3616823Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T07:49:34.3616953Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T07:49:34.3617081Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T07:49:34.3617209Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T07:49:34.3617463Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T07:49:34.3617591Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T07:49:34.3617721Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T07:49:34.3617845Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T07:49:34.3617970Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T07:49:34.3618246Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T07:49:34.3618379Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T07:49:34.3618514Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T07:49:34.3618640Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T07:49:34.3618772Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T07:49:34.3618895Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T07:49:34.3619019Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T07:49:34.3619147Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T07:49:34.3619271Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T07:49:34.3619403Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T07:49:34.3619530Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T07:49:34.3619660Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T07:49:34.3619784Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T07:49:34.3620061Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T07:49:34.3620199Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T07:49:34.3620324Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T07:49:34.3620452Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T07:49:34.3620575Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T07:49:34.3620702Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T07:49:34.3620833Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T07:49:34.3620957Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T07:49:34.3621086Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T07:49:34.3621215Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T07:49:34.3621344Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T07:49:34.3621469Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T07:49:34.3621594Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T07:49:34.3621722Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T07:49:34.3621850Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T07:49:34.3621982Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T07:49:34.3622109Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T07:49:34.3622235Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T07:49:34.3622367Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T07:49:34.3622492Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T07:49:34.3622620Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T07:49:34.3622745Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T07:49:34.3622887Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T07:49:34.3623106Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T07:49:34.3623235Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T07:49:34.3623363Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T07:49:34.3623488Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T07:49:34.3623619Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T07:49:34.3623744Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T07:49:34.3623868Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T07:49:34.3623997Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T07:49:34.3624122Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T07:49:34.3624251Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T07:49:34.3624376Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T07:49:34.3624505Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T07:49:34.3624633Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T07:49:34.3624870Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T07:49:34.3624999Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T07:49:34.3625125Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T07:49:34.3625256Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T07:49:34.3625383Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T07:49:34.3625509Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T07:49:34.3625640Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T07:49:34.3625765Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T07:49:34.3625895Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T07:49:34.3626023Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T07:49:34.3626154Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T07:49:34.3626279Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T07:49:34.3626404Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T07:49:34.3626532Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T07:49:34.3626668Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T07:49:34.3626804Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T07:49:34.3626931Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T07:49:34.3627056Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T07:49:34.3627191Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T07:49:34.3627447Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T07:49:34.3627586Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T07:49:34.3627712Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T07:49:34.3627841Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T07:49:34.3627969Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T07:49:34.3628263Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T07:49:34.3628402Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T07:49:34.3628529Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T07:49:34.3628658Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T07:49:34.3628786Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T07:49:34.3628910Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T07:49:34.3629043Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T07:49:34.3629167Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T07:49:34.3629298Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T07:49:34.3629427Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T07:49:34.3629560Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T07:49:34.3629685Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T07:49:34.3629813Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T07:49:34.3630072Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T07:49:34.3630211Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T07:49:34.3630343Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T07:49:34.3630469Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T07:49:34.3630594Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T07:49:34.3630739Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T07:49:34.3630875Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T07:49:34.3631009Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T07:49:34.3631160Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T07:49:34.3631313Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T07:49:34.3631453Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T07:49:34.3631575Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T07:49:34.3631693Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T07:49:34.3631807Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T07:49:34.3631922Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T07:49:34.3632033Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T07:49:34.3632148Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T07:49:34.3632275Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T07:49:34.3632403Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T07:49:34.3632553Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T07:49:34.3632746Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T07:49:34.3632936Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T07:49:34.3633078Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T07:49:34.3633315Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T07:49:34.3633454Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T07:49:34.3633581Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T07:49:34.3633707Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T07:49:34.3633844Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T07:49:34.3633979Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T07:49:34.3634109Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T07:49:34.3634238Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T07:49:34.3634389Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T07:49:34.3634758Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T07:49:34.3634927Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T07:49:34.3635082Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T07:49:34.3635240Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T07:49:34.3635520Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T07:49:34.3635673Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T07:49:34.3635815Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T07:49:34.3635944Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T07:49:34.3636076Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T07:49:34.3636204Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T07:49:34.3636330Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T07:49:34.3636459Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T07:49:34.3636584Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T07:49:34.3636717Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T07:49:34.3636846Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T07:49:34.3636971Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T07:49:34.3637095Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T07:49:34.3637221Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T07:49:34.3637494Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T07:49:34.3637625Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T07:49:34.3637749Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T07:49:34.3637864Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T07:49:34.3637982Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T07:49:34.3638102Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T07:49:34.3638214Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T07:49:34.3638330Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T07:49:34.3638445Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T07:49:34.3638714Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T07:49:34.3638849Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T07:49:34.3638971Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T07:49:34.3639100Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T07:49:34.3639230Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T07:49:34.3639350Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T07:49:34.3639464Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T07:49:34.3639578Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T07:49:34.3639696Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T07:49:34.3639817Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T07:49:34.3639942Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T07:49:34.3640313Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T07:49:34.3640441Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T07:49:34.3640700Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T07:49:34.3640816Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T07:49:34.3640939Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T07:49:34.3641057Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T07:49:34.3641177Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T07:49:34.3641293Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T07:49:34.3641411Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T07:49:34.3641532Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T07:49:34.3641647Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T07:49:34.3641980Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T07:49:34.3642102Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T07:49:34.3642224Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T07:49:34.3642340Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T07:49:34.3642453Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T07:49:34.3642574Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T07:49:34.3642917Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T07:49:34.3643085Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T07:49:34.3643215Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T07:49:34.3643342Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T07:49:34.3643458Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T07:49:34.3643571Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T07:49:34.3643692Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T07:49:34.3643805Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T07:49:34.3644029Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T07:49:34.3644149Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T07:49:34.3644265Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T07:49:34.3644384Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T07:49:34.3644504Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T07:49:34.3644622Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T07:49:34.3644735Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T07:49:34.3644853Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T07:49:34.3644967Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T07:49:34.3645082Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T07:49:34.3645200Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T07:49:34.3645314Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T07:49:34.3645434Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T07:49:34.3645675Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T07:49:34.3645795Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T07:49:34.3645914Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T07:49:34.3646028Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T07:49:34.3646146Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T07:49:34.3646260Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T07:49:34.3646377Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T07:49:34.3646496Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T07:49:34.3646622Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T07:49:34.3646742Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T07:49:34.3646861Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T07:49:34.3646978Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T07:49:34.3647092Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T07:49:34.3647204Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T07:49:34.3647452Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T07:49:34.3647574Z * [new tag] ciflow/trunk/160928 -> ciflow/trunk/160928 2025-09-07T07:49:34.3647692Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T07:49:34.3647806Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T07:49:34.3647921Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T07:49:34.3648043Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T07:49:34.3648167Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T07:49:34.3648287Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T07:49:34.3648401Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T07:49:34.3648519Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T07:49:34.3648635Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T07:49:34.3648882Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T07:49:34.3649004Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T07:49:34.3649120Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T07:49:34.3649252Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T07:49:34.3649372Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T07:49:34.3649484Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T07:49:34.3649605Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T07:49:34.3649720Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T07:49:34.3649841Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T07:49:34.3649958Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T07:49:34.3650076Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T07:49:34.3650191Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T07:49:34.3650306Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T07:49:34.3650565Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T07:49:34.3650683Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T07:49:34.3650805Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T07:49:34.3650925Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T07:49:34.3651040Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T07:49:34.3651161Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T07:49:34.3651275Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T07:49:34.3651394Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T07:49:34.3651510Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T07:49:34.3651633Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T07:49:34.3651748Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T07:49:34.3651864Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T07:49:34.3651982Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T07:49:34.3652095Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T07:49:34.3652213Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T07:49:34.3652331Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T07:49:34.3652446Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T07:49:34.3652564Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T07:49:34.3652679Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T07:49:34.3652802Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T07:49:34.3652922Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T07:49:34.3653041Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T07:49:34.3653156Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T07:49:34.3653271Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T07:49:34.3653500Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T07:49:34.3653624Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T07:49:34.3653745Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T07:49:34.3653864Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T07:49:34.3653989Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T07:49:34.3654114Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T07:49:34.3654230Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T07:49:34.3654350Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T07:49:34.3654465Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T07:49:34.3654588Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T07:49:34.3654717Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T07:49:34.3654906Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T07:49:34.3655029Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T07:49:34.3655149Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T07:49:34.3655398Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T07:49:34.3655519Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T07:49:34.3655635Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T07:49:34.3655753Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T07:49:34.3655868Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T07:49:34.3655993Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T07:49:34.3656108Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T07:49:34.3656227Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T07:49:34.3656341Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T07:49:34.3656460Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T07:49:34.3656581Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T07:49:34.3656697Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T07:49:34.3656817Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T07:49:34.3656934Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T07:49:34.3657051Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T07:49:34.3657169Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T07:49:34.3657402Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T07:49:34.3657525Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T07:49:34.3657642Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T07:49:34.3657763Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T07:49:34.3657878Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T07:49:34.3658010Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T07:49:34.3658140Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T07:49:34.3658257Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T07:49:34.3658535Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T07:49:34.3658653Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T07:49:34.3658776Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T07:49:34.3658892Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T07:49:34.3659015Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T07:49:34.3659126Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T07:49:34.3659237Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T07:49:34.3659352Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T07:49:34.3659467Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T07:49:34.3659583Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T07:49:34.3659692Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T07:49:34.3659805Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T07:49:34.3659916Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T07:49:34.3660167Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T07:49:34.3660286Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T07:49:34.3660394Z * [new tag] cslpull75 -> cslpull75 2025-09-07T07:49:34.3660499Z * [new tag] cslpull76 -> cslpull76 2025-09-07T07:49:34.3660598Z * [new tag] cslpull77 -> cslpull77 2025-09-07T07:49:34.3660696Z * [new tag] cslpull78 -> cslpull78 2025-09-07T07:49:34.3660798Z * [new tag] cslpull79 -> cslpull79 2025-09-07T07:49:34.3660898Z * [new tag] cslpull80 -> cslpull80 2025-09-07T07:49:34.3660999Z * [new tag] cslpull81 -> cslpull81 2025-09-07T07:49:34.3661096Z * [new tag] cslpull82 -> cslpull82 2025-09-07T07:49:34.3661197Z * [new tag] cslpull83 -> cslpull83 2025-09-07T07:49:34.3661298Z * [new tag] cslpull84 -> cslpull84 2025-09-07T07:49:34.3661396Z * [new tag] cslpull85 -> cslpull85 2025-09-07T07:49:34.3661499Z * [new tag] cslpull86 -> cslpull86 2025-09-07T07:49:34.3661599Z * [new tag] cslpull87 -> cslpull87 2025-09-07T07:49:34.3661702Z * [new tag] cslpull88 -> cslpull88 2025-09-07T07:49:34.3661800Z * [new tag] cslpull89 -> cslpull89 2025-09-07T07:49:34.3661902Z * [new tag] cslpull90 -> cslpull90 2025-09-07T07:49:34.3662003Z * [new tag] cslpull91 -> cslpull91 2025-09-07T07:49:34.3662098Z * [new tag] cslpull92 -> cslpull92 2025-09-07T07:49:34.3662208Z * [new tag] flight_5 -> flight_5 2025-09-07T07:49:34.3662324Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T07:49:34.3662427Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T07:49:34.3662530Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T07:49:34.3662629Z * [new tag] forpull1 -> forpull1 2025-09-07T07:49:34.3662754Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T07:49:34.3662874Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T07:49:34.3663096Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T07:49:34.3663228Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T07:49:34.3663357Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T07:49:34.3663477Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T07:49:34.3663740Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T07:49:34.3664010Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T07:49:34.3664269Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T07:49:34.3664543Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T07:49:34.3664805Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T07:49:34.3665064Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T07:49:34.3665318Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T07:49:34.3665707Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T07:49:34.3665965Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T07:49:34.3666223Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T07:49:34.3666491Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T07:49:34.3666745Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T07:49:34.3667018Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T07:49:34.3667402Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T07:49:34.3667670Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T07:49:34.3667938Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T07:49:34.3668204Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T07:49:34.3668478Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T07:49:34.3668740Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T07:49:34.3669010Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T07:49:34.3669275Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T07:49:34.3669530Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T07:49:34.3669793Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T07:49:34.3670212Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T07:49:34.3670495Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T07:49:34.3670753Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T07:49:34.3671022Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T07:49:34.3671283Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T07:49:34.3671540Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T07:49:34.3671808Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T07:49:34.3672070Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T07:49:34.3672331Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T07:49:34.3672593Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T07:49:34.3673002Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T07:49:34.3673268Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T07:49:34.3673535Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T07:49:34.3673813Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T07:49:34.3674069Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T07:49:34.3674329Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T07:49:34.3674589Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T07:49:34.3674851Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T07:49:34.3675113Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T07:49:34.3675375Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T07:49:34.3675637Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T07:49:34.3675889Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T07:49:34.3676143Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T07:49:34.3676408Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T07:49:34.3676660Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T07:49:34.3676917Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T07:49:34.3677183Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T07:49:34.3677713Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T07:49:34.3677993Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T07:49:34.3678264Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T07:49:34.3678525Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T07:49:34.3678792Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T07:49:34.3679049Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T07:49:34.3679316Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T07:49:34.3679574Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T07:49:34.3679825Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T07:49:34.3680236Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T07:49:34.3680498Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T07:49:34.3680757Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T07:49:34.3681010Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T07:49:34.3681272Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T07:49:34.3681533Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T07:49:34.3681803Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T07:49:34.3682070Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T07:49:34.3682337Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T07:49:34.3682602Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T07:49:34.3682858Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T07:49:34.3683124Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T07:49:34.3683385Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T07:49:34.3683644Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T07:49:34.3683899Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T07:49:34.3684163Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T07:49:34.3684415Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T07:49:34.3684786Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T07:49:34.3685059Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T07:49:34.3685331Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T07:49:34.3685605Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T07:49:34.3685862Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T07:49:34.3686128Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T07:49:34.3686381Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T07:49:34.3686651Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T07:49:34.3686921Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T07:49:34.3687170Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T07:49:34.3687665Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T07:49:34.3687921Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T07:49:34.3688186Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T07:49:34.3688454Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T07:49:34.3688721Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T07:49:34.3688973Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T07:49:34.3689234Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T07:49:34.3689487Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T07:49:34.3689751Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T07:49:34.3690023Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T07:49:34.3690288Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T07:49:34.3690549Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T07:49:34.3690814Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T07:49:34.3691080Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T07:49:34.3691341Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T07:49:34.3691590Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T07:49:34.3691847Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T07:49:34.3692263Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T07:49:34.3692550Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T07:49:34.3692812Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T07:49:34.3693076Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T07:49:34.3693329Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T07:49:34.3693586Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T07:49:34.3693844Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T07:49:34.3694098Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T07:49:34.3694356Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T07:49:34.3694742Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T07:49:34.3695082Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T07:49:34.3695351Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T07:49:34.3695608Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T07:49:34.3695864Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T07:49:34.3696114Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T07:49:34.3696380Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T07:49:34.3696648Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T07:49:34.3696907Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T07:49:34.3697160Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T07:49:34.3697555Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T07:49:34.3697818Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T07:49:34.3698087Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T07:49:34.3698346Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T07:49:34.3698604Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T07:49:34.3698870Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T07:49:34.3699127Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T07:49:34.3699538Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T07:49:34.3699805Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T07:49:34.3700071Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T07:49:34.3700348Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T07:49:34.3700612Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T07:49:34.3700869Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T07:49:34.3701136Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T07:49:34.3701402Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T07:49:34.3701658Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T07:49:34.3701920Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T07:49:34.3702309Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T07:49:34.3702577Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T07:49:34.3702841Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T07:49:34.3703098Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T07:49:34.3703362Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T07:49:34.3703615Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T07:49:34.3703879Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T07:49:34.3704136Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:34.3704404Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T07:49:34.3704674Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T07:49:34.3704940Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T07:49:34.3705195Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T07:49:34.3705455Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T07:49:34.3705719Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T07:49:34.3705977Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T07:49:34.3706251Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T07:49:34.3706616Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T07:49:34.3706894Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T07:49:34.3707154Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T07:49:34.3707541Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T07:49:34.3707802Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T07:49:34.3708072Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T07:49:34.3708337Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T07:49:34.3708597Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T07:49:34.3708853Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T07:49:34.3709116Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T07:49:34.3709533Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T07:49:34.3709794Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T07:49:34.3710051Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T07:49:34.3710318Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T07:49:34.3710575Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T07:49:34.3710839Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T07:49:34.3711094Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T07:49:34.3711357Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T07:49:34.3711623Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T07:49:34.3711885Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T07:49:34.3712149Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T07:49:34.3712410Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T07:49:34.3712678Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T07:49:34.3712945Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T07:49:34.3713218Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T07:49:34.3713475Z * [new tag] trunk/ada43ed39c80b746b4822c92640a1882619e2795 -> trunk/ada43ed39c80b746b4822c92640a1882619e2795 2025-09-07T07:49:34.3713743Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T07:49:34.3714134Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T07:49:34.3714398Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T07:49:34.3714656Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T07:49:34.3714923Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T07:49:34.3715186Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T07:49:34.3715441Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T07:49:34.3715711Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T07:49:34.3715967Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T07:49:34.3716236Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T07:49:34.3716496Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T07:49:34.3716870Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T07:49:34.3717134Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T07:49:34.3717538Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T07:49:34.3717814Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T07:49:34.3718072Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T07:49:34.3718330Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T07:49:34.3718594Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T07:49:34.3718858Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T07:49:34.3719119Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T07:49:34.3719382Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T07:49:34.3719657Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T07:49:34.3719909Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T07:49:34.3720179Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T07:49:34.3720449Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T07:49:34.3720717Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T07:49:34.3720986Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T07:49:34.3721405Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T07:49:34.3721684Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T07:49:34.3721946Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T07:49:34.3722212Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T07:49:34.3722461Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T07:49:34.3722718Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T07:49:34.3722979Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T07:49:34.3723249Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T07:49:34.3723502Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T07:49:34.3723762Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T07:49:34.3724194Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T07:49:34.3724468Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T07:49:34.3724733Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T07:49:34.3724995Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T07:49:34.3725262Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T07:49:34.3725521Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T07:49:34.3725778Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T07:49:34.3726043Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T07:49:34.3726297Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T07:49:34.3726569Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T07:49:34.3726827Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T07:49:34.3727091Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T07:49:34.3727472Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T07:49:34.3727745Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T07:49:34.3728001Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T07:49:34.3728256Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T07:49:34.3728522Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T07:49:34.3728920Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T07:49:34.3729192Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T07:49:34.3729453Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T07:49:34.3729715Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T07:49:34.3729981Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T07:49:34.3730257Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T07:49:34.3730531Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T07:49:34.3730792Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T07:49:34.3731050Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T07:49:34.3731431Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T07:49:34.3731706Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T07:49:34.3731978Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T07:49:34.3732248Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T07:49:34.3732516Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T07:49:34.3732778Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T07:49:34.3733041Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T07:49:34.3733303Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T07:49:34.3733568Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T07:49:34.3733819Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T07:49:34.3734074Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T07:49:34.3734337Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T07:49:34.3734612Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T07:49:34.3734936Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T07:49:34.3735208Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T07:49:34.3735479Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T07:49:34.3735738Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T07:49:34.3736105Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T07:49:34.3736370Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T07:49:34.3736627Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T07:49:34.3736894Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T07:49:34.3737161Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T07:49:34.3737540Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T07:49:34.3737815Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T07:49:34.3738078Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T07:49:34.3738335Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T07:49:34.3738607Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T07:49:34.3739015Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T07:49:34.3739279Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T07:49:34.3739538Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T07:49:34.3739643Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T07:49:34.3739751Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T07:49:34.3739847Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T07:49:34.3739943Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T07:49:34.3740039Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T07:49:34.3740136Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T07:49:34.3740239Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T07:49:34.3740330Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T07:49:34.3740427Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T07:49:34.3740519Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T07:49:34.3740617Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T07:49:34.3740710Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T07:49:34.3740801Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T07:49:34.3740900Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T07:49:34.3740990Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T07:49:34.3741086Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T07:49:34.3741180Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T07:49:34.3741273Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T07:49:34.3741384Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T07:49:34.3741477Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T07:49:34.3741575Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T07:49:34.3741670Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T07:49:34.3741889Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T07:49:34.3741997Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T07:49:34.3742090Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T07:49:34.3742203Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T07:49:34.3742308Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T07:49:34.3742421Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T07:49:34.3742522Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T07:49:34.3742622Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T07:49:34.3742721Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T07:49:34.3742819Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T07:49:34.3742916Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T07:49:34.3743015Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T07:49:34.3743112Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T07:49:34.3743213Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T07:49:34.3743309Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T07:49:34.3743536Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T07:49:34.3743635Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T07:49:34.3743733Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T07:49:34.3743831Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T07:49:34.3743929Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T07:49:34.3744034Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T07:49:34.3744135Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T07:49:34.3744233Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T07:49:34.3744336Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T07:49:34.3744444Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T07:49:34.3744550Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T07:49:34.3744650Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T07:49:34.3744748Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T07:49:34.3744847Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T07:49:34.3744945Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T07:49:34.3745048Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T07:49:34.3745148Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T07:49:34.3745247Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T07:49:34.3745342Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T07:49:34.3745440Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T07:49:34.3745547Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T07:49:34.3745646Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T07:49:34.3745751Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T07:49:34.3745849Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T07:49:34.3745948Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T07:49:34.3746044Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T07:49:34.3746248Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T07:49:34.3746353Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T07:49:34.3746453Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T07:49:34.3746551Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T07:49:34.3746652Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T07:49:34.3746743Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T07:49:34.3746841Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T07:49:34.3746937Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T07:49:34.3747037Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T07:49:34.3747139Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T07:49:34.3747246Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T07:49:34.3747479Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T07:49:34.3747581Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T07:49:34.3747684Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T07:49:34.3747782Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T07:49:34.3748034Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T07:49:34.3748139Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T07:49:34.3748231Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T07:49:34.3748334Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T07:49:34.3748434Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T07:49:34.3748532Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T07:49:34.3748637Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T07:49:34.3748734Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T07:49:34.3748834Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T07:49:34.3748933Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T07:49:34.3749034Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T07:49:34.3749131Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T07:49:34.3749228Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T07:49:34.3749331Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T07:49:34.3749429Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T07:49:34.3749529Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T07:49:34.3749629Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T07:49:34.3749726Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T07:49:34.3749831Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T07:49:34.3749930Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T07:49:34.3750038Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T07:49:34.3750135Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T07:49:34.3750234Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T07:49:34.3750340Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T07:49:34.3750438Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T07:49:34.3750533Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T07:49:34.3750759Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T07:49:34.3750862Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T07:49:34.3750961Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T07:49:34.3751055Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T07:49:34.3751156Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T07:49:34.3751253Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T07:49:34.3751356Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T07:49:34.3751451Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T07:49:34.3751548Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T07:49:34.3751650Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T07:49:34.3751745Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T07:49:34.3751849Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T07:49:34.3751946Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T07:49:34.3752041Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T07:49:34.3752144Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T07:49:34.3752346Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T07:49:34.3752450Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T07:49:34.3752550Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T07:49:34.3752651Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T07:49:34.3752749Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T07:49:34.3752842Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T07:49:34.3752946Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T07:49:34.3753044Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T07:49:34.3753146Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T07:49:34.3753243Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T07:49:34.3753342Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T07:49:34.3753445Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T07:49:34.3753544Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T07:49:34.3753646Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T07:49:34.3753744Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T07:49:34.3753842Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T07:49:34.3753948Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T07:49:34.3754041Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T07:49:34.3754145Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T07:49:34.3754247Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T07:49:34.3754350Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T07:49:34.3754462Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T07:49:34.3754566Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T07:49:34.3754669Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T07:49:34.3754763Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T07:49:34.3754863Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T07:49:34.3754958Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T07:49:34.3755148Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T07:49:34.3755250Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T07:49:34.3755346Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T07:49:34.3755445Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T07:49:34.3755545Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T07:49:34.3755643Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T07:49:34.3755756Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T07:49:34.3755854Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T07:49:34.3755953Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T07:49:34.3756051Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T07:49:34.3756151Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T07:49:34.3756249Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T07:49:34.3756346Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T07:49:34.3756446Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T07:49:34.3756642Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T07:49:34.3756744Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T07:49:34.3756842Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T07:49:34.3756938Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T07:49:34.3757034Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T07:49:34.3757131Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T07:49:34.3757239Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T07:49:34.3757466Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T07:49:34.3757569Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T07:49:34.3757673Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T07:49:34.3757770Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T07:49:34.3757874Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T07:49:34.3757971Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T07:49:34.3758072Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T07:49:34.3758170Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T07:49:34.3758267Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T07:49:34.3758368Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T07:49:34.3758462Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T07:49:34.3758564Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T07:49:34.3758662Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T07:49:34.3758761Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T07:49:34.3758860Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T07:49:34.3758957Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T07:49:34.3759058Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T07:49:34.3759157Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T07:49:34.3759254Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T07:49:34.3759354Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T07:49:34.3761060Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T07:49:34.3761191Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T07:49:34.3761290Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T07:49:34.3761392Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T07:49:34.3761489Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T07:49:34.3761585Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T07:49:34.3761685Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T07:49:34.3761784Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T07:49:34.3761882Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T07:49:34.3761982Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T07:49:34.3762083Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T07:49:34.3762186Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T07:49:34.3762282Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T07:49:34.3762385Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T07:49:34.3762644Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T07:49:34.3762741Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T07:49:34.3762845Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T07:49:34.3762943Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T07:49:34.3763044Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T07:49:34.3763136Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T07:49:34.3763237Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T07:49:34.3763333Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T07:49:34.3763431Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T07:49:34.3763535Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T07:49:34.3763633Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T07:49:34.3763738Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T07:49:34.3763835Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T07:49:34.3763932Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T07:49:34.3764033Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T07:49:34.3764130Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T07:49:34.3764242Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T07:49:34.3764340Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T07:49:34.3764440Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T07:49:34.3764542Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T07:49:34.3764642Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T07:49:34.3764749Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T07:49:34.3764847Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T07:49:34.3764951Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T07:49:34.3765049Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T07:49:34.3765148Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T07:49:34.3765250Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T07:49:34.3765448Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T07:49:34.3765549Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T07:49:34.3765646Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T07:49:34.3765742Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T07:49:34.3765847Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T07:49:34.3765943Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T07:49:34.3766058Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T07:49:34.3766155Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T07:49:34.3766254Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T07:49:34.3766361Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T07:49:34.3766462Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T07:49:34.3766562Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T07:49:34.3766660Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T07:49:34.3766758Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T07:49:34.3766860Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T07:49:34.3767067Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T07:49:34.3767180Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T07:49:34.3767410Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T07:49:34.3767527Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T07:49:35.9188083Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:49:35.9219254Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:35.9224222Z ##[endgroup] 2025-09-07T07:49:35.9224578Z ##[group]Determining the checkout info 2025-09-07T07:49:35.9225717Z ##[endgroup] 2025-09-07T07:49:35.9229777Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:49:36.0820354Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:49:36.0904073Z ##[group]Checking out the ref 2025-09-07T07:49:36.0906167Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:37.1235459Z Updating files: 87% (16888/19405) 2025-09-07T07:49:37.1333604Z Updating files: 88% (17077/19405) 2025-09-07T07:49:37.1466444Z Updating files: 89% (17271/19405) 2025-09-07T07:49:37.1625881Z Updating files: 90% (17465/19405) 2025-09-07T07:49:37.1735059Z Updating files: 91% (17659/19405) 2025-09-07T07:49:37.1870709Z Updating files: 92% (17853/19405) 2025-09-07T07:49:37.2043136Z Updating files: 93% (18047/19405) 2025-09-07T07:49:37.2231490Z Updating files: 94% (18241/19405) 2025-09-07T07:49:37.2380409Z Updating files: 95% (18435/19405) 2025-09-07T07:49:37.2524811Z Updating files: 96% (18629/19405) 2025-09-07T07:49:37.2690824Z Updating files: 97% (18823/19405) 2025-09-07T07:49:37.2931515Z Updating files: 98% (19017/19405) 2025-09-07T07:49:37.3075395Z Updating files: 99% (19211/19405) 2025-09-07T07:49:37.3075863Z Updating files: 100% (19405/19405) 2025-09-07T07:49:37.3076331Z Updating files: 100% (19405/19405), done. 2025-09-07T07:49:37.3331528Z Note: switching to '93fb23d6fae7c4e82c4239a1033e522088742634'. 2025-09-07T07:49:37.3331999Z 2025-09-07T07:49:37.3332327Z You are in 'detached HEAD' state. You can look around, make experimental 2025-09-07T07:49:37.3333121Z changes and commit them, and you can discard any commits you make in this 2025-09-07T07:49:37.3333900Z state without impacting any branches by switching back to a branch. 2025-09-07T07:49:37.3334355Z 2025-09-07T07:49:37.3334653Z If you want to create a new branch to retain commits you create, you may 2025-09-07T07:49:37.3335942Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T07:49:37.3336405Z 2025-09-07T07:49:37.3336582Z git switch -c 2025-09-07T07:49:37.3336879Z 2025-09-07T07:49:37.3337056Z Or undo this operation with: 2025-09-07T07:49:37.3337619Z 2025-09-07T07:49:37.3337779Z git switch - 2025-09-07T07:49:37.3338009Z 2025-09-07T07:49:37.3338358Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T07:49:37.3338868Z 2025-09-07T07:49:37.3339138Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:49:37.3450791Z ##[endgroup] 2025-09-07T07:49:37.3451278Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:49:37.3451791Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:49:37.4216258Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:49:37.4252374Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:49:37.5053519Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:49:37.9248096Z ##[endgroup] 2025-09-07T07:49:37.9248434Z ##[group]Fetching submodules 2025-09-07T07:49:37.9251924Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:49:37.9540209Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:49:38.0530877Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T07:49:38.1585539Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T07:49:38.2723171Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T07:49:38.3893362Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T07:49:38.5044481Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T07:49:38.6078482Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T07:49:38.7185904Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T07:49:38.8182896Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T07:49:39.2837847Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T07:49:39.2849551Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T07:49:39.2883253Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T07:49:39.4447712Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T07:49:39.5599136Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T07:49:39.6740418Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T07:49:39.7828769Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T07:49:40.1360967Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T07:49:40.1372720Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T07:49:40.1403948Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T07:49:40.2444179Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:49:40.3345444Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T07:49:40.4644202Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T07:49:40.5959698Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T07:49:40.6900059Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T07:49:40.8246555Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T07:49:41.1263475Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T07:49:41.2137050Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T07:49:41.3481075Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T07:49:41.5844323Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T07:49:41.7212814Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T07:49:41.8471934Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T07:49:42.0278087Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T07:49:42.1465348Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T07:49:42.2082096Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T07:49:42.3169060Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T07:49:42.5100021Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T07:49:42.6340649Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T07:49:42.7349860Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T07:49:42.7395485Z Cloning into '/home/bob/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T07:49:44.3628543Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T07:49:46.4680592Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T07:49:48.6673683Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T07:49:51.4913098Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T07:49:54.2315825Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T07:49:57.8206292Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T07:50:13.1156936Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T07:50:19.5474715Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T07:50:21.8630131Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T07:50:27.5739644Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T07:50:30.0855401Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T07:50:31.9984168Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T07:50:35.1230758Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T07:50:39.4986442Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T07:50:43.0948367Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T07:50:45.5882607Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T07:50:48.4491128Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T07:50:52.0750749Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T07:50:53.8537188Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T07:50:55.5660663Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T07:50:58.1891972Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T07:51:00.0556824Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T07:51:01.9495368Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T07:51:06.0977954Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T07:51:07.8131012Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T07:51:10.4749636Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T07:51:22.4314317Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T07:51:27.6306278Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T07:51:34.8459610Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T07:51:36.5861135Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T07:51:48.0564089Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T07:51:48.2778979Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T07:51:48.5231279Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T07:51:49.3317225Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T07:51:49.6595143Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T07:51:50.4099584Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T07:51:50.8218190Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:51:50.8351708Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:51:50.8461739Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:51:50.8734110Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:51:50.9516233Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:51:51.0044432Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:51:51.7829325Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:51:51.9429245Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:51:51.9464124Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:51:51.9495754Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T07:51:55.4503279Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:51:55.4748664Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:51:55.8068491Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:51:55.8557052Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:51:55.9508352Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:51:55.9936019Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:51:56.6249863Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:51:56.7933434Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:51:56.7961775Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T07:51:56.7966674Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:51:56.7971852Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:51:56.7976632Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T07:51:56.7982244Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T07:51:56.7987175Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:51:56.7992556Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T07:51:56.8025953Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T07:51:57.9038950Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T07:51:58.7971909Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T07:52:01.5193999Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T07:52:12.9393338Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T07:52:17.2665242Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T07:52:18.2711982Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T07:52:33.9696915Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:52:34.6182543Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:52:35.0782044Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:52:36.0661797Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:52:36.1542045Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:52:36.2191791Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:52:36.7055496Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:52:36.8397756Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:52:36.9633029Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:52:37.1371897Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:52:37.1406576Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T07:52:42.4639849Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T07:52:48.3813300Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:52:49.2488396Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:52:49.7039563Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:52:49.7781838Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:52:50.1771858Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:52:50.2577892Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:52:50.3256582Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:52:50.4042963Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:52:50.4794421Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T07:52:50.4826554Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T07:53:15.4417627Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:53:15.5074235Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:53:15.6570224Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:53:15.9510572Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:53:16.1047911Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:53:16.2504651Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:53:16.2538589Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T07:53:18.8714663Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T07:53:22.5432177Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T07:53:26.0310345Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:53:26.2565203Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:53:26.3110601Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:53:26.4057113Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:53:26.5290906Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:53:26.6532437Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:53:26.7911044Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:53:26.8745009Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:53:27.0095724Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:53:27.0130602Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T07:53:29.8180564Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T07:53:31.8493350Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T07:53:34.4829584Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T07:53:36.2454171Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T07:53:38.0522788Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T07:53:40.4708263Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T07:53:55.6772264Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T07:53:57.6461708Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:53:57.7443772Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:53:57.8010357Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:53:57.8576960Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:53:57.9340135Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:53:57.9371891Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T07:54:00.2679471Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:54:00.3395275Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:54:00.4554348Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:54:00.6260358Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:54:01.0205281Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:54:01.0622332Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:54:01.1909609Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:54:01.3190601Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:54:01.7708274Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:54:02.1021878Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:54:03.2034957Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:54:03.2789918Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T07:54:03.2827651Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T07:54:06.4701899Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:54:06.6294734Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:54:06.7255436Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:54:06.9512943Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:54:07.0131080Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:54:07.0478278Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:54:07.2700342Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:54:07.2932787Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:54:07.3488117Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:54:07.4026336Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:54:07.4059861Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T07:54:09.0821602Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T07:54:11.8222436Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T07:54:13.8991211Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T07:54:28.1090883Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T07:54:30.4782091Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T07:54:31.7891643Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T07:54:33.7081820Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T07:54:47.2289933Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:54:47.4633053Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:54:47.5156590Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:54:47.6799105Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:54:47.7672577Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:54:47.8591145Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:54:47.9374752Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:54:48.1057700Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:54:48.2280478Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:54:48.2312430Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-09-07T07:54:52.2778884Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-09-07T07:54:54.7952960Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:54:54.8776717Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:54:56.5885339Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:54:56.9194348Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T07:54:57.4466138Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-09-07T07:54:57.5160948Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:54:57.6342465Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-09-07T07:54:57.6380655Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-09-07T07:54:59.6710640Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-09-07T07:55:02.4707809Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-09-07T07:55:02.6885592Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-09-07T07:55:02.7782226Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-09-07T07:55:02.8854057Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-09-07T07:55:02.9592228Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8' 2025-09-07T07:55:03.0589888Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-09-07T07:55:03.1403378Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-09-07T07:55:03.2126742Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075' 2025-09-07T07:55:03.3814984Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:55:03.5238346Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:55:03.6029763Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:55:03.6760599Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:55:03.6796567Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'... 2025-09-07T07:55:06.4269442Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'... 2025-09-07T07:55:07.8529535Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'... 2025-09-07T07:55:10.3355336Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'... 2025-09-07T07:55:12.3986462Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-09-07T07:55:12.4394255Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-09-07T07:55:12.5329519Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-09-07T07:55:12.5827439Z Submodule path 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2025-09-07T07:55:29.0986486Z clean: true 2025-09-07T07:55:29.0986882Z sparse-checkout-cone-mode: true 2025-09-07T07:55:29.0987118Z fetch-tags: false 2025-09-07T07:55:29.0987471Z lfs: false 2025-09-07T07:55:29.0987643Z set-safe-directory: true 2025-09-07T07:55:29.0987839Z env: 2025-09-07T07:55:29.0988001Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:55:29.0988190Z ##[endgroup] 2025-09-07T07:55:29.1861243Z Syncing repository: pytorch/pytorch 2025-09-07T07:55:29.1864144Z ##[group]Getting Git version info 2025-09-07T07:55:29.1864622Z Working directory is '/home/bob/_work/pytorch/pytorch' 2025-09-07T07:55:29.1896744Z [command]/usr/bin/git version 2025-09-07T07:55:29.1932121Z git version 2.51.0 2025-09-07T07:55:29.1955204Z ##[endgroup] 2025-09-07T07:55:29.1965986Z Temporarily overriding HOME='/home/bob/_work/_temp/e1c74e29-3365-474f-b2b4-4f051484914d' before making global git config changes 2025-09-07T07:55:29.1966637Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:55:29.1970980Z [command]/usr/bin/git config --global --add safe.directory /home/bob/_work/pytorch/pytorch 2025-09-07T07:55:29.2068540Z [command]/usr/bin/git config --local --get remote.origin.url 2025-09-07T07:55:29.2098889Z https://github.com/pytorch/pytorch 2025-09-07T07:55:29.2112971Z ##[group]Removing previously created refs, to avoid conflicts 2025-09-07T07:55:29.2116126Z [command]/usr/bin/git rev-parse --symbolic-full-name --verify --quiet HEAD 2025-09-07T07:55:29.2140279Z HEAD 2025-09-07T07:55:29.2179227Z ##[endgroup] 2025-09-07T07:55:29.2181915Z [command]/usr/bin/git submodule status 2025-09-07T07:55:29.2492211Z 7e1e1fe3858c63c251c637ae41a20de425dde96f android/libs/fbjni (v0.1.0-12-g7e1e1fe) 2025-09-07T07:55:29.2577510Z 4dfe081cf6bcd15db339cf2680b9281b8451eeb3 third_party/FP16 (4dfe081) 2025-09-07T07:55:29.2663774Z b408327ac2a15ec3e43352421954f5b1967701d1 third_party/FXdiv (b408327) 2025-09-07T07:55:29.2763034Z c07e3a0400713d546e0dea2d5466dd22ea389c73 third_party/NNPACK (c07e3a0) 2025-09-07T07:55:29.2817438Z 2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07 third_party/NVTX (v3.1.0-263-g2942f16) 2025-09-07T07:55:29.2902545Z 1d8f600fd424278486eade7ed3e877c99f0846b1 third_party/VulkanMemoryAllocator (v2.1.0-982-g1d8f600) 2025-09-07T07:55:29.3380327Z 51a0103656eff6fc9bfd39a4597923c4b542c883 third_party/XNNPACK (remotes/origin/ds/ndk-1243-g51a0103656) 2025-09-07T07:55:29.3421922Z 01aae101b9e5e94d6c16a9514c9fb8df99c93150 third_party/aiter (v0.1.1-92-g01aae101) 2025-09-07T07:55:29.3450933Z 299e5928955cc62af9968370293b916f5130916f third_party/benchmark (v1.9.3) 2025-09-07T07:55:29.3531107Z 7fe50dc3da2069d6645d9deb8c017a876472a977 third_party/composable_kernel (rocm-6.4.3-459-g7fe50dc3d) 2025-09-07T07:55:29.3661169Z 89c932f313c6437c38f2982869beacc89c2f2246 third_party/cpp-httplib (v0.26.0) 2025-09-07T07:55:29.3782684Z 5e3d2445e6a84d9599bee2bf78edbb4d80865e1d third_party/cpuinfo (5e3d244) 2025-09-07T07:55:29.3824695Z f937055efc6d414d11f4c6577e3977fe74f35fb6 third_party/cudnn_frontend (v0.5-52-gf937055) 2025-09-07T07:55:29.3921307Z e51efbfe18fe4f4cbb66ab814c55bf4aa0185491 third_party/cutlass (v4.1.0) 2025-09-07T07:55:29.3978425Z 4b39c551efe15e6bbade20565b0ceb2d8ce3352d third_party/fbgemm (v1.3.0-rc1-342-g4b39c551) 2025-09-07T07:55:29.4062991Z 979702c87a8713a8e0a5e9fee122b90d2ef13be5 third_party/flash-attention (v2.7.4) 2025-09-07T07:55:29.4089205Z a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757 third_party/flatbuffers (v24.12.23) 2025-09-07T07:55:29.4456796Z 40626af88bd7df9a5fb80be7b25ac85b122d6c21 third_party/fmt (11.2.0) 2025-09-07T07:55:29.4567461Z 3fb5c176c17c765a3492cd2f0321b0dab712f350 third_party/gemmlowp/gemmlowp (remotes/origin/revert-87-master-135-g3fb5c17) 2025-09-07T07:55:29.4693555Z c7b7b022c124d9643957d9bd55f57ac59fce8fa2 third_party/gloo (remotes/origin/gh/c-p-i-o/1/base-33-gc7b7b02) 2025-09-07T07:55:29.4906851Z 52eb8108c5bdec04579160ae17225d66034bd723 third_party/googletest (release-1.8.0-3544-g52eb8108) 2025-09-07T07:55:29.4991523Z 719d8e6cd7f7a0e01b155657526d693acf97c2b3 third_party/ideep (pytorch-rls-v3.7.1) 2025-09-07T07:55:29.5055795Z dec1d23ca65ab069d225dfe40dea14f455170959 third_party/ittapi (v3.25.5) 2025-09-07T07:55:29.5301296Z 5e7501833f1021ce6f618572d3baf657b6319658 third_party/kineto (remotes/origin/sraikund/test-98-g5e75018) 2025-09-07T07:55:29.5331279Z cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7 third_party/kleidiai (v1.8.0) 2025-09-07T07:55:29.5361132Z fbd8b99c2b828428947d70fdc046bb55609be93e third_party/mimalloc (v2.2.4) 2025-09-07T07:55:29.5389972Z 55f93686c01528224f448c19128836e7df245f72 third_party/nlohmann (v3.12.0) 2025-09-07T07:55:29.5695093Z e709452ef2bbc1d113faf678c24e6d3467696e83 third_party/onnx (v1.18.0) 2025-09-07T07:55:29.5724546Z a799f4aed9c94b765dcdaabaeab7d5e7e2310878 third_party/opentelemetry-cpp (v1.14.2) 2025-09-07T07:55:29.5753441Z 0fa0ef591e38c2758e3184c6c23e497b9f732ffa third_party/pocketfft (release_for_eigen-40-g0fa0ef5) 2025-09-07T07:55:29.6074831Z d1eca4e4b421cd2997495c4b4e65cea6be4e9b8a third_party/protobuf (v3.7.0-rc.2-1279-gd1eca4e4b) 2025-09-07T07:55:29.6156920Z 072586a71b55b7f8c584153d223e95687148a900 third_party/psimd (heads/master) 2025-09-07T07:55:29.6218565Z 4fe0e1e183925bf8cfa6aae24237e724a96479b8 third_party/pthreadpool (0.1-144-g4fe0e1e) 2025-09-07T07:55:29.6249042Z f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8 third_party/pybind11 (v3.0.1) 2025-09-07T07:55:29.6331012Z f45429b087dd7d5bc78bb40dc7cf06425c252d67 third_party/python-peachpy (remotes/origin/pre-generated) 2025-09-07T07:55:29.6412181Z 5a1d179df9cf652951b59010a2d2075372d67f68 third_party/sleef (3.8) 2025-09-07T07:55:29.6488992Z af0118d13e52f5a08841464a768e01a0bf3e3075 third_party/tensorpipe (heads/main) 2025-09-07T07:55:29.6503474Z ##[group]Cleaning the repository 2025-09-07T07:55:29.6507787Z [command]/usr/bin/git clean -ffdx 2025-09-07T07:55:29.6832242Z [command]/usr/bin/git reset --hard HEAD 2025-09-07T07:55:30.4001480Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:55:30.4028817Z ##[endgroup] 2025-09-07T07:55:30.4030472Z ##[group]Disabling automatic garbage collection 2025-09-07T07:55:30.4034806Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:55:30.4430150Z ##[endgroup] 2025-09-07T07:55:30.4430489Z ##[group]Setting up auth 2025-09-07T07:55:30.4435961Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:55:30.4466840Z [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' || :" 2025-09-07T07:55:30.4746770Z Entering 'android/libs/fbjni' 2025-09-07T07:55:30.4797958Z Entering 'third_party/FP16' 2025-09-07T07:55:30.4846339Z Entering 'third_party/FXdiv' 2025-09-07T07:55:30.4895005Z Entering 'third_party/NNPACK' 2025-09-07T07:55:30.4944739Z Entering 'third_party/NVTX' 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Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:55:30.8130542Z Entering 'third_party/psimd' 2025-09-07T07:55:30.8179651Z Entering 'third_party/pthreadpool' 2025-09-07T07:55:30.8227828Z Entering 'third_party/pybind11' 2025-09-07T07:55:30.8278822Z Entering 'third_party/python-peachpy' 2025-09-07T07:55:30.8327029Z Entering 'third_party/sleef' 2025-09-07T07:55:30.8375782Z Entering 'third_party/tensorpipe' 2025-09-07T07:55:30.8424370Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:55:30.8471074Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:55:30.8520048Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:55:30.8568992Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:55:30.8614596Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:55:30.8686433Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 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http.https://github.com/.extraheader 2025-09-07T07:55:32.4855381Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:55:32.4884357Z http.https://github.com/.extraheader 2025-09-07T07:55:32.5289626Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:55:32.5318793Z http.https://github.com/.extraheader 2025-09-07T07:55:32.5720677Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:55:32.5749498Z http.https://github.com/.extraheader 2025-09-07T07:55:32.6035996Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:55:32.6065047Z http.https://github.com/.extraheader 2025-09-07T07:55:32.6385131Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:55:32.6411939Z http.https://github.com/.extraheader 2025-09-07T07:55:32.6839822Z Entering 'third_party/kineto/libkineto/third_party/fmt' 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http.https://github.com/.extraheader 2025-09-07T07:55:32.9848922Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:55:32.9875347Z http.https://github.com/.extraheader 2025-09-07T07:55:33.0083963Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:55:33.0111497Z http.https://github.com/.extraheader 2025-09-07T07:55:33.0468347Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:55:33.0493516Z http.https://github.com/.extraheader 2025-09-07T07:55:33.0918550Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:55:33.0943415Z http.https://github.com/.extraheader 2025-09-07T07:55:33.1349330Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:55:33.1382950Z http.https://github.com/.extraheader 2025-09-07T07:55:33.4219408Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:55:33.4259132Z http.https://github.com/.extraheader 2025-09-07T07:55:33.4322806Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:55:33.4356386Z http.https://github.com/.extraheader 2025-09-07T07:55:33.4743112Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:55:33.4776433Z http.https://github.com/.extraheader 2025-09-07T07:55:33.5110334Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:55:33.5138848Z http.https://github.com/.extraheader 2025-09-07T07:55:33.5505302Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:55:33.5531820Z http.https://github.com/.extraheader 2025-09-07T07:55:33.5925024Z Entering 'third_party/pocketfft' 2025-09-07T07:55:33.5956179Z http.https://github.com/.extraheader 2025-09-07T07:55:33.6720668Z Entering 'third_party/protobuf' 2025-09-07T07:55:33.6750495Z http.https://github.com/.extraheader 2025-09-07T07:55:33.7154741Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:55:33.7182560Z http.https://github.com/.extraheader 2025-09-07T07:55:33.7637108Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:55:33.7663864Z http.https://github.com/.extraheader 2025-09-07T07:55:33.7882989Z Entering 'third_party/psimd' 2025-09-07T07:55:33.7911215Z http.https://github.com/.extraheader 2025-09-07T07:55:33.8305563Z Entering 'third_party/pthreadpool' 2025-09-07T07:55:33.8332933Z http.https://github.com/.extraheader 2025-09-07T07:55:33.8658630Z Entering 'third_party/pybind11' 2025-09-07T07:55:33.8686712Z http.https://github.com/.extraheader 2025-09-07T07:55:33.9124525Z Entering 'third_party/python-peachpy' 2025-09-07T07:55:33.9153322Z http.https://github.com/.extraheader 2025-09-07T07:55:33.9453266Z Entering 'third_party/sleef' 2025-09-07T07:55:33.9482123Z http.https://github.com/.extraheader 2025-09-07T07:55:33.9917778Z Entering 'third_party/tensorpipe' 2025-09-07T07:55:33.9944989Z 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##[group]Fetching the repository 2025-09-07T07:55:34.3188169Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:55:34.8052998Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:55:34.8080989Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:55:34.8086434Z ##[endgroup] 2025-09-07T07:55:34.8086830Z ##[group]Determining the checkout info 2025-09-07T07:55:34.8087611Z ##[endgroup] 2025-09-07T07:55:34.8091300Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:55:35.0330136Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:55:35.0709849Z ##[group]Checking out the ref 2025-09-07T07:55:35.0714105Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:55:35.1436283Z HEAD is now at 93fb23d6fae Build vLLM nightly 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'third_party/kineto' 2025-09-07T07:55:38.4661706Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:55:38.5450812Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:55:38.6544581Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:55:38.7382338Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:55:38.8185765Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:55:38.9694198Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:55:39.0504540Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:55:39.1265941Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:55:39.1624126Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:55:39.2690585Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:55:39.2943118Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:55:39.3629629Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:55:39.4388195Z Synchronizing submodule url for 'third_party/kleidiai' 2025-09-07T07:55:39.5508784Z Synchronizing submodule url for 'third_party/mimalloc' 2025-09-07T07:55:39.5943961Z Synchronizing submodule url for 'third_party/nlohmann' 2025-09-07T07:55:39.6916054Z Synchronizing submodule url for 'third_party/onnx' 2025-09-07T07:55:39.7589633Z Synchronizing submodule url for 'third_party/onnx/third_party/pybind11' 2025-09-07T07:55:39.8336844Z Synchronizing submodule url for 'third_party/opentelemetry-cpp' 2025-09-07T07:55:39.9727486Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:55:40.0544991Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:55:40.1244963Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:55:40.1918682Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:55:40.2728350Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:55:40.4023117Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:55:40.4731415Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:55:40.5897566Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:55:40.6786775Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:55:40.7657133Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:55:40.8305687Z Synchronizing submodule url for 'third_party/pocketfft' 2025-09-07T07:55:41.1859351Z Synchronizing submodule url for 'third_party/protobuf' 2025-09-07T07:55:41.2483528Z Synchronizing submodule url for 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:55:41.3865523Z Synchronizing submodule url for 'third_party/protobuf/third_party/googletest' 2025-09-07T07:55:41.4736820Z Synchronizing submodule url for 'third_party/psimd' 2025-09-07T07:55:41.4908402Z Synchronizing submodule url for 'third_party/pthreadpool' 2025-09-07T07:55:41.5068340Z Synchronizing submodule url for 'third_party/pybind11' 2025-09-07T07:55:41.5251063Z Synchronizing submodule url for 'third_party/python-peachpy' 2025-09-07T07:55:41.5375166Z Synchronizing submodule url for 'third_party/sleef' 2025-09-07T07:55:41.5586762Z Synchronizing submodule url for 'third_party/tensorpipe' 2025-09-07T07:55:41.5731190Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:55:41.5955209Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:55:41.6144764Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:55:41.6311815Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:55:41.6457888Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:55:41.6500952Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:55:41.6971184Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:55:41.7278179Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:55:41.7580573Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:55:41.7981498Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:55:41.9118281Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:55:41.9648336Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:55:43.1918984Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:55:43.4420784Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:55:44.0472983Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:55:44.1179000Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:55:44.4585282Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:55:44.5754724Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:55:44.7849725Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:55:44.8507101Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:55:46.0530076Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:55:46.1926364Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:55:46.2608352Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:55:46.6838062Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:55:46.7899445Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:55:46.8431500Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:55:46.8872556Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:55:46.9035851Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:55:46.9992915Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:55:47.0822530Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:55:47.4595873Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:55:47.7467932Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:55:47.9533370Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:55:48.1048772Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:55:48.1510529Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:55:48.1781821Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:55:48.2140453Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:55:48.2339400Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:55:49.0891473Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:55:49.1185486Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:55:49.2127548Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:55:49.3499823Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:55:49.5200803Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:55:49.8457511Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:55:49.8768833Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:55:49.9050902Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:55:49.9183485Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:55:49.9492969Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:55:49.9901025Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:55:50.0751128Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:55:50.0934657Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:55:50.1216514Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:55:50.1627887Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:55:50.2140035Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:55:50.2701548Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:55:50.3543171Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:55:50.4813511Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:55:50.5168446Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:55:50.5824337Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:55:50.6126708Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:55:50.6486184Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:55:50.6638528Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:55:50.7635095Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:55:50.7831062Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:55:50.7983531Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:55:50.8206037Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:55:51.1167772Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:55:51.1550163Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:55:51.2917081Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:55:51.3588274Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T07:55:51.7519334Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-09-07T07:55:51.7698100Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-09-07T07:55:51.8241326Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-09-07T07:55:51.8381146Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-09-07T07:55:51.8708784Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-09-07T07:55:51.9069647Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8' 2025-09-07T07:55:51.9701828Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-09-07T07:55:52.0486381Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-09-07T07:55:52.0876452Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075' 2025-09-07T07:55:52.1343710Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-09-07T07:55:52.1522262Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-09-07T07:55:52.2023032Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-09-07T07:55:52.2274412Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' 2025-09-07T07:55:52.2424558Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' 2025-09-07T07:55:52.2470395Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-09-07T07:55:52.2731673Z Entering 'android/libs/fbjni' 2025-09-07T07:55:52.2835487Z Entering 'third_party/FP16' 2025-09-07T07:55:52.2922601Z Entering 'third_party/FXdiv' 2025-09-07T07:55:52.2986494Z Entering 'third_party/NNPACK' 2025-09-07T07:55:52.3031025Z Entering 'third_party/NVTX' 2025-09-07T07:55:52.3102396Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:55:52.3158688Z Entering 'third_party/XNNPACK' 2025-09-07T07:55:52.3220099Z Entering 'third_party/aiter' 2025-09-07T07:55:52.3295018Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:55:52.3385704Z Entering 'third_party/benchmark' 2025-09-07T07:55:52.3433284Z Entering 'third_party/composable_kernel' 2025-09-07T07:55:52.3497857Z Entering 'third_party/cpp-httplib' 2025-09-07T07:55:52.3587668Z Entering 'third_party/cpuinfo' 2025-09-07T07:55:52.6542990Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:55:52.6592596Z Entering 'third_party/cutlass' 2025-09-07T07:55:52.6644692Z Entering 'third_party/fbgemm' 2025-09-07T07:55:52.6754807Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:55:52.6874545Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:55:52.6939644Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:55:52.6983489Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:55:52.7040982Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:55:52.7141858Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:55:52.7211565Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:55:52.7263584Z Entering 'third_party/flash-attention' 2025-09-07T07:55:52.7347517Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:55:52.7398855Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:55:52.7478731Z Entering 'third_party/flatbuffers' 2025-09-07T07:55:52.7570517Z Entering 'third_party/fmt' 2025-09-07T07:55:52.7621392Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:55:52.7681672Z Entering 'third_party/gloo' 2025-09-07T07:55:52.7777042Z Entering 'third_party/googletest' 2025-09-07T07:55:52.7849676Z Entering 'third_party/ideep' 2025-09-07T07:55:52.7887752Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:55:52.7971731Z Entering 'third_party/ittapi' 2025-09-07T07:55:52.8020534Z Entering 'third_party/kineto' 2025-09-07T07:55:52.8061792Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:55:52.8166234Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:55:52.8219806Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:55:52.8259903Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:55:52.8316415Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:55:52.8357835Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:55:52.8417921Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:55:52.8462713Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:55:52.8503652Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:55:52.8548403Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:55:52.8626439Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:55:52.8692809Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:55:52.8852245Z Entering 'third_party/kleidiai' 2025-09-07T07:55:52.8963142Z Entering 'third_party/mimalloc' 2025-09-07T07:55:52.9004388Z Entering 'third_party/nlohmann' 2025-09-07T07:55:52.9078493Z Entering 'third_party/onnx' 2025-09-07T07:55:52.9135175Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:55:52.9239700Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:55:52.9286809Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:55:52.9398800Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:55:52.9465297Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:55:52.9524171Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:55:52.9584126Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:55:52.9693638Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:55:52.9746597Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:55:52.9844586Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:55:52.9909879Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:55:52.9962431Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:55:53.0066768Z Entering 'third_party/pocketfft' 2025-09-07T07:55:53.0138521Z Entering 'third_party/protobuf' 2025-09-07T07:55:53.0253159Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:55:53.0320230Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:55:53.0373179Z Entering 'third_party/psimd' 2025-09-07T07:55:53.0501593Z Entering 'third_party/pthreadpool' 2025-09-07T07:55:53.0552089Z Entering 'third_party/pybind11' 2025-09-07T07:55:53.0679411Z Entering 'third_party/python-peachpy' 2025-09-07T07:55:53.0738398Z Entering 'third_party/sleef' 2025-09-07T07:55:53.0798261Z Entering 'third_party/tensorpipe' 2025-09-07T07:55:53.0847045Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:55:53.0895016Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:55:53.0959240Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:55:53.1088361Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:55:53.1144446Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:55:53.1221554Z ##[endgroup] 2025-09-07T07:55:53.1222184Z ##[group]Persisting credentials for submodules 2025-09-07T07:55:53.1228177Z [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' || :" 2025-09-07T07:55:53.1520674Z Entering 'android/libs/fbjni' 2025-09-07T07:55:53.1553247Z url.https://github.com/.insteadof 2025-09-07T07:55:53.1553718Z url.https://github.com/.insteadof 2025-09-07T07:55:53.1593600Z Entering 'third_party/FP16' 2025-09-07T07:55:53.1622115Z url.https://github.com/.insteadof 2025-09-07T07:55:53.1622566Z url.https://github.com/.insteadof 2025-09-07T07:55:53.1675911Z Entering 'third_party/FXdiv' 2025-09-07T07:55:53.1712544Z url.https://github.com/.insteadof 2025-09-07T07:55:53.1713051Z url.https://github.com/.insteadof 2025-09-07T07:55:53.1762511Z Entering 'third_party/NNPACK' 2025-09-07T07:55:53.1795841Z url.https://github.com/.insteadof 2025-09-07T07:55:53.1796305Z url.https://github.com/.insteadof 2025-09-07T07:55:53.1839162Z Entering 'third_party/NVTX' 2025-09-07T07:55:53.1870051Z url.https://github.com/.insteadof 2025-09-07T07:55:53.1870346Z url.https://github.com/.insteadof 2025-09-07T07:55:53.1915473Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:55:53.1946189Z url.https://github.com/.insteadof 2025-09-07T07:55:53.1946505Z url.https://github.com/.insteadof 2025-09-07T07:55:53.1990505Z Entering 'third_party/XNNPACK' 2025-09-07T07:55:53.2042695Z url.https://github.com/.insteadof 2025-09-07T07:55:53.2043033Z url.https://github.com/.insteadof 2025-09-07T07:55:53.2109239Z Entering 'third_party/aiter' 2025-09-07T07:55:53.2142844Z url.https://github.com/.insteadof 2025-09-07T07:55:53.2143304Z url.https://github.com/.insteadof 2025-09-07T07:55:53.2189481Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:55:53.2219919Z url.https://github.com/.insteadof 2025-09-07T07:55:53.2220362Z url.https://github.com/.insteadof 2025-09-07T07:55:53.2296406Z Entering 'third_party/benchmark' 2025-09-07T07:55:53.2327600Z url.https://github.com/.insteadof 2025-09-07T07:55:53.2328048Z url.https://github.com/.insteadof 2025-09-07T07:55:53.2447077Z Entering 'third_party/composable_kernel' 2025-09-07T07:55:53.2475749Z url.https://github.com/.insteadof 2025-09-07T07:55:53.2476029Z url.https://github.com/.insteadof 2025-09-07T07:55:53.2564726Z Entering 'third_party/cpp-httplib' 2025-09-07T07:55:53.2595956Z url.https://github.com/.insteadof 2025-09-07T07:55:53.2596238Z url.https://github.com/.insteadof 2025-09-07T07:55:53.2651535Z Entering 'third_party/cpuinfo' 2025-09-07T07:55:53.2682889Z url.https://github.com/.insteadof 2025-09-07T07:55:53.2683183Z url.https://github.com/.insteadof 2025-09-07T07:55:53.2730184Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:55:53.2758631Z url.https://github.com/.insteadof 2025-09-07T07:55:53.2758942Z url.https://github.com/.insteadof 2025-09-07T07:55:53.2848478Z Entering 'third_party/cutlass' 2025-09-07T07:55:53.2877535Z url.https://github.com/.insteadof 2025-09-07T07:55:53.2877843Z url.https://github.com/.insteadof 2025-09-07T07:55:53.2965570Z Entering 'third_party/fbgemm' 2025-09-07T07:55:53.2992872Z url.https://github.com/.insteadof 2025-09-07T07:55:53.2993521Z url.https://github.com/.insteadof 2025-09-07T07:55:53.3081564Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:55:53.3109842Z url.https://github.com/.insteadof 2025-09-07T07:55:53.3110132Z url.https://github.com/.insteadof 2025-09-07T07:55:53.3172857Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:55:53.3200806Z url.https://github.com/.insteadof 2025-09-07T07:55:53.3201116Z url.https://github.com/.insteadof 2025-09-07T07:55:53.3291143Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:55:53.3318250Z url.https://github.com/.insteadof 2025-09-07T07:55:53.3318548Z url.https://github.com/.insteadof 2025-09-07T07:55:53.3355658Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:55:53.3384382Z url.https://github.com/.insteadof 2025-09-07T07:55:53.3384682Z url.https://github.com/.insteadof 2025-09-07T07:55:53.3510061Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:55:53.3537228Z url.https://github.com/.insteadof 2025-09-07T07:55:53.3537693Z url.https://github.com/.insteadof 2025-09-07T07:55:53.3613188Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:55:53.3640976Z url.https://github.com/.insteadof 2025-09-07T07:55:53.3641270Z url.https://github.com/.insteadof 2025-09-07T07:55:53.3706169Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:55:53.3734658Z url.https://github.com/.insteadof 2025-09-07T07:55:53.3735028Z url.https://github.com/.insteadof 2025-09-07T07:55:53.3825658Z Entering 'third_party/flash-attention' 2025-09-07T07:55:53.3852978Z url.https://github.com/.insteadof 2025-09-07T07:55:53.3853270Z url.https://github.com/.insteadof 2025-09-07T07:55:53.3910721Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:55:53.3937049Z url.https://github.com/.insteadof 2025-09-07T07:55:53.3937504Z url.https://github.com/.insteadof 2025-09-07T07:55:53.3996001Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:55:53.4024636Z url.https://github.com/.insteadof 2025-09-07T07:55:53.4024939Z url.https://github.com/.insteadof 2025-09-07T07:55:53.4072672Z Entering 'third_party/flatbuffers' 2025-09-07T07:55:53.4099988Z url.https://github.com/.insteadof 2025-09-07T07:55:53.4100282Z url.https://github.com/.insteadof 2025-09-07T07:55:53.4213202Z Entering 'third_party/fmt' 2025-09-07T07:55:53.4240436Z url.https://github.com/.insteadof 2025-09-07T07:55:53.4240759Z url.https://github.com/.insteadof 2025-09-07T07:55:53.4323172Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:55:53.4350923Z url.https://github.com/.insteadof 2025-09-07T07:55:53.4351202Z url.https://github.com/.insteadof 2025-09-07T07:55:53.4413076Z Entering 'third_party/gloo' 2025-09-07T07:55:53.4440200Z url.https://github.com/.insteadof 2025-09-07T07:55:53.4440510Z url.https://github.com/.insteadof 2025-09-07T07:55:53.4486704Z Entering 'third_party/googletest' 2025-09-07T07:55:53.4515400Z url.https://github.com/.insteadof 2025-09-07T07:55:53.4515683Z url.https://github.com/.insteadof 2025-09-07T07:55:53.4555656Z Entering 'third_party/ideep' 2025-09-07T07:55:53.4582577Z url.https://github.com/.insteadof 2025-09-07T07:55:53.4582868Z url.https://github.com/.insteadof 2025-09-07T07:55:53.8441864Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:55:53.8470440Z url.https://github.com/.insteadof 2025-09-07T07:55:53.8470760Z url.https://github.com/.insteadof 2025-09-07T07:55:53.8553328Z Entering 'third_party/ittapi' 2025-09-07T07:55:53.8582987Z url.https://github.com/.insteadof 2025-09-07T07:55:53.8583256Z url.https://github.com/.insteadof 2025-09-07T07:55:53.8628619Z Entering 'third_party/kineto' 2025-09-07T07:55:53.8656059Z url.https://github.com/.insteadof 2025-09-07T07:55:53.8656341Z url.https://github.com/.insteadof 2025-09-07T07:55:53.8703653Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:55:53.8732040Z url.https://github.com/.insteadof 2025-09-07T07:55:53.8732329Z url.https://github.com/.insteadof 2025-09-07T07:55:53.8795912Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:55:53.8823744Z url.https://github.com/.insteadof 2025-09-07T07:55:53.8824034Z url.https://github.com/.insteadof 2025-09-07T07:55:53.8876760Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:55:53.8902800Z url.https://github.com/.insteadof 2025-09-07T07:55:53.8903087Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9012034Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:55:53.9038756Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9039090Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9076762Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:55:53.9103087Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9103366Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9183531Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:55:53.9210209Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9210524Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9271647Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:55:53.9298561Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9298885Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9333641Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:55:53.9359974Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9360255Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9414490Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:55:53.9440734Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9441024Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9496816Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:55:53.9523146Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9523416Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9602544Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:55:53.9630379Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9630677Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9668005Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:55:53.9696244Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9696641Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9738019Z Entering 'third_party/kleidiai' 2025-09-07T07:55:53.9765678Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9766010Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9815798Z Entering 'third_party/mimalloc' 2025-09-07T07:55:53.9843382Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9843675Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9888186Z Entering 'third_party/nlohmann' 2025-09-07T07:55:53.9914874Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9915158Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9952872Z Entering 'third_party/onnx' 2025-09-07T07:55:53.9979599Z url.https://github.com/.insteadof 2025-09-07T07:55:53.9979881Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0068259Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:55:54.0097771Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0098077Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0155560Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:55:54.0183330Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0183597Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0226207Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:55:54.0251790Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0252074Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0297224Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:55:54.0325200Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0325499Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0361426Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:55:54.0389279Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0389582Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0425636Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:55:54.0453112Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0453400Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0489689Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:55:54.0516325Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0516621Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0562859Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:55:54.0589750Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0590051Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0639317Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:55:54.0667441Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0667778Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0710072Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:55:54.0736849Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0737134Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0790375Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:55:54.0816137Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0816461Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0913650Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:55:54.0940479Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0940796Z url.https://github.com/.insteadof 2025-09-07T07:55:54.0999460Z Entering 'third_party/pocketfft' 2025-09-07T07:55:54.1026862Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1027123Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1081759Z Entering 'third_party/protobuf' 2025-09-07T07:55:54.1108649Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1108915Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1150452Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:55:54.1176501Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1176798Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1213242Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:55:54.1241750Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1242047Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1352548Z Entering 'third_party/psimd' 2025-09-07T07:55:54.1379749Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1380240Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1421055Z Entering 'third_party/pthreadpool' 2025-09-07T07:55:54.1448749Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1449058Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1501174Z Entering 'third_party/pybind11' 2025-09-07T07:55:54.1528723Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1528998Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1648270Z Entering 'third_party/python-peachpy' 2025-09-07T07:55:54.1674900Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1675175Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1765243Z Entering 'third_party/sleef' 2025-09-07T07:55:54.1792452Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1792719Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1831015Z Entering 'third_party/tensorpipe' 2025-09-07T07:55:54.1858297Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1858619Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1898448Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:55:54.1925156Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1925446Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1971330Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:55:54.1999183Z url.https://github.com/.insteadof 2025-09-07T07:55:54.1999482Z url.https://github.com/.insteadof 2025-09-07T07:55:54.2043145Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:55:54.2070591Z url.https://github.com/.insteadof 2025-09-07T07:55:54.2070895Z url.https://github.com/.insteadof 2025-09-07T07:55:54.2106806Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:55:54.2134626Z url.https://github.com/.insteadof 2025-09-07T07:55:54.2135001Z url.https://github.com/.insteadof 2025-09-07T07:55:54.2191622Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:55:54.2219214Z url.https://github.com/.insteadof 2025-09-07T07:55:54.2219524Z url.https://github.com/.insteadof 2025-09-07T07:55:54.2296231Z [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" 2025-09-07T07:55:54.2559439Z Entering 'android/libs/fbjni' 2025-09-07T07:55:54.2622081Z file:/home/bob/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:55:54.2643918Z Entering 'third_party/FP16' 2025-09-07T07:55:54.2697405Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:55:54.2718895Z Entering 'third_party/FXdiv' 2025-09-07T07:55:54.2763372Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:55:54.2785113Z Entering 'third_party/NNPACK' 2025-09-07T07:55:54.2827668Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-09-07T07:55:54.2849958Z Entering 'third_party/NVTX' 2025-09-07T07:55:54.2900183Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-09-07T07:55:54.2923242Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:55:54.3034298Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-09-07T07:55:54.3055886Z Entering 'third_party/XNNPACK' 2025-09-07T07:55:54.3123008Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-09-07T07:55:54.3159663Z Entering 'third_party/aiter' 2025-09-07T07:55:54.3217833Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-09-07T07:55:54.3240279Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:55:54.3295945Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-09-07T07:55:54.3326135Z Entering 'third_party/benchmark' 2025-09-07T07:55:54.3382680Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:55:54.3404637Z Entering 'third_party/composable_kernel' 2025-09-07T07:55:54.3478582Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-09-07T07:55:54.3508013Z Entering 'third_party/cpp-httplib' 2025-09-07T07:55:54.3560619Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2025-09-07T07:55:54.3583489Z Entering 'third_party/cpuinfo' 2025-09-07T07:55:54.3653603Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-09-07T07:55:54.3675887Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:55:54.3722181Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-09-07T07:55:54.3743950Z Entering 'third_party/cutlass' 2025-09-07T07:55:54.3809901Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-09-07T07:55:54.3840947Z Entering 'third_party/fbgemm' 2025-09-07T07:55:54.3887740Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-09-07T07:55:54.3911566Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:55:54.3953754Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-09-07T07:55:54.3975748Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:55:54.4026953Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-09-07T07:55:54.4056276Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:55:54.4103260Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-09-07T07:55:54.4125143Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:55:54.4167432Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-09-07T07:55:54.4197453Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:55:54.4246021Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-09-07T07:55:54.4268164Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:55:54.4329608Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-09-07T07:55:54.4350719Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:55:54.4393611Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-09-07T07:55:54.4419676Z Entering 'third_party/flash-attention' 2025-09-07T07:55:54.4475042Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-09-07T07:55:54.4497196Z Entering 'third_party/flash-attention/csrc/composable_kernel' 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Entering 'third_party/gloo' 2025-09-07T07:55:54.4923604Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-09-07T07:55:54.4945527Z Entering 'third_party/googletest' 2025-09-07T07:55:54.4990954Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:55:54.5012909Z Entering 'third_party/ideep' 2025-09-07T07:55:54.5126809Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-09-07T07:55:54.5147224Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:55:54.5207628Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-09-07T07:55:54.5238182Z Entering 'third_party/ittapi' 2025-09-07T07:55:54.5466651Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T07:55:54.5488387Z Entering 'third_party/kineto' 2025-09-07T07:55:54.5573076Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-09-07T07:55:54.5593939Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:55:54.5650434Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-09-07T07:55:54.5671030Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:55:54.5715586Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-09-07T07:55:54.5737129Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:55:54.5777451Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T07:55:54.5798291Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:55:54.5840927Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:55:54.5861604Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:55:54.5904530Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-09-07T07:55:54.5923455Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:55:54.6031520Z 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 2025-09-07T07:55:54.6056129Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:55:54.6106369Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T07:55:54.6126948Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:55:54.6180671Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:55:54.6200970Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:55:54.6270241Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2025-09-07T07:55:54.6291726Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:55:54.6353064Z 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file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T07:55:54.6718906Z Entering 'third_party/nlohmann' 2025-09-07T07:55:54.6770586Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T07:55:54.6793988Z Entering 'third_party/onnx' 2025-09-07T07:55:54.6846298Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T07:55:54.6883845Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:55:54.6934165Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:55:54.6960352Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:55:54.7014065Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T07:55:54.7036374Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 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'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:55:54.7430921Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T07:55:54.7452292Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:55:54.7497909Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2025-09-07T07:55:54.7518513Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:55:54.7577206Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2025-09-07T07:55:54.7596679Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:55:54.7643542Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2025-09-07T07:55:54.7666340Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:55:54.7716105Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-09-07T07:55:54.7739928Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:55:54.7810717Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T07:55:54.7851450Z Entering 'third_party/pocketfft' 2025-09-07T07:55:54.7892739Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T07:55:54.7914312Z Entering 'third_party/protobuf' 2025-09-07T07:55:54.7960476Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T07:55:54.7984459Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:55:54.8055135Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:55:54.8075246Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:55:54.8118298Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:55:54.8142927Z Entering 'third_party/psimd' 2025-09-07T07:55:54.8240131Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2025-09-07T07:55:54.8263003Z Entering 'third_party/pthreadpool' 2025-09-07T07:55:54.8312833Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2025-09-07T07:55:54.8334272Z Entering 'third_party/pybind11' 2025-09-07T07:55:54.8384358Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:55:54.8406482Z Entering 'third_party/python-peachpy' 2025-09-07T07:55:54.8456562Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2025-09-07T07:55:54.8478303Z Entering 'third_party/sleef' 2025-09-07T07:55:54.8538958Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2025-09-07T07:55:54.8560954Z Entering 'third_party/tensorpipe' 2025-09-07T07:55:54.8606750Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2025-09-07T07:55:54.8627923Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:55:54.8677681Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:55:54.8698213Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:55:54.8752744Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-09-07T07:55:54.8774139Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:55:54.8831315Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-09-07T07:55:54.8853060Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:55:54.8912230Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:55:54.8932592Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:55:54.8976869Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-09-07T07:55:55.2225200Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T07:55:55.2490317Z Entering 'android/libs/fbjni' 2025-09-07T07:55:55.2535096Z Entering 'third_party/FP16' 2025-09-07T07:55:55.2633527Z Entering 'third_party/FXdiv' 2025-09-07T07:55:55.2680996Z Entering 'third_party/NNPACK' 2025-09-07T07:55:55.2740253Z Entering 'third_party/NVTX' 2025-09-07T07:55:55.2812233Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:55:55.2872500Z Entering 'third_party/XNNPACK' 2025-09-07T07:55:55.2951762Z Entering 'third_party/aiter' 2025-09-07T07:55:55.3067013Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:55:55.3149075Z Entering 'third_party/benchmark' 2025-09-07T07:55:55.3198287Z Entering 'third_party/composable_kernel' 2025-09-07T07:55:55.3255261Z Entering 'third_party/cpp-httplib' 2025-09-07T07:55:55.3343705Z Entering 'third_party/cpuinfo' 2025-09-07T07:55:55.3405631Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:55:55.3488874Z Entering 'third_party/cutlass' 2025-09-07T07:55:55.3569242Z Entering 'third_party/fbgemm' 2025-09-07T07:55:55.3632649Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:55:55.3678298Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:55:55.3762962Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:55:55.3821759Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:55:55.3876799Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:55:55.3930858Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:55:55.3980635Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:55:55.4080991Z Entering 'third_party/flash-attention' 2025-09-07T07:55:55.4135010Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:55:55.4196337Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:55:55.4269997Z Entering 'third_party/flatbuffers' 2025-09-07T07:55:55.4356374Z Entering 'third_party/fmt' 2025-09-07T07:55:55.4430622Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:55:55.4532828Z Entering 'third_party/gloo' 2025-09-07T07:55:55.4591038Z Entering 'third_party/googletest' 2025-09-07T07:55:55.4666007Z Entering 'third_party/ideep' 2025-09-07T07:55:55.4730243Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:55:55.4804090Z Entering 'third_party/ittapi' 2025-09-07T07:55:55.4927139Z Entering 'third_party/kineto' 2025-09-07T07:55:55.4983850Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:55:55.5052493Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:55:55.5111143Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:55:55.5162539Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:55:55.5257838Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:55:55.5333166Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:55:55.5386893Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:55:55.5444687Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:55:55.5510948Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:55:55.5575159Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:55:55.5659705Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:55:55.5703941Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:55:55.5756699Z Entering 'third_party/kleidiai' 2025-09-07T07:55:55.5825350Z Entering 'third_party/mimalloc' 2025-09-07T07:55:55.5874568Z Entering 'third_party/nlohmann' 2025-09-07T07:55:55.5956086Z Entering 'third_party/onnx' 2025-09-07T07:55:55.6024619Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:55:55.6080096Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:55:55.6132654Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:55:55.6180083Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:55:55.6235375Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:55:55.6284728Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:55:55.6335723Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:55:55.6394542Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:55:55.9584591Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:55:55.9625332Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:55:55.9683137Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:55:55.9726947Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:55:55.9796726Z Entering 'third_party/pocketfft' 2025-09-07T07:55:55.9877868Z Entering 'third_party/protobuf' 2025-09-07T07:55:55.9958856Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:55:56.0028294Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:55:56.0090663Z Entering 'third_party/psimd' 2025-09-07T07:55:56.0141510Z Entering 'third_party/pthreadpool' 2025-09-07T07:55:56.0237567Z Entering 'third_party/pybind11' 2025-09-07T07:55:56.0308876Z Entering 'third_party/python-peachpy' 2025-09-07T07:55:56.0375846Z Entering 'third_party/sleef' 2025-09-07T07:55:56.0457829Z Entering 'third_party/tensorpipe' 2025-09-07T07:55:56.0522892Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:55:56.0577429Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:55:56.0639465Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:55:56.0680470Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:55:56.0737193Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:55:56.0883759Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-07T07:55:56.1149597Z Entering 'android/libs/fbjni' 2025-09-07T07:55:56.1288283Z Entering 'third_party/FP16' 2025-09-07T07:55:56.1367814Z Entering 'third_party/FXdiv' 2025-09-07T07:55:56.1421660Z Entering 'third_party/NNPACK' 2025-09-07T07:55:56.1468893Z Entering 'third_party/NVTX' 2025-09-07T07:55:56.1553879Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:55:56.1616068Z Entering 'third_party/XNNPACK' 2025-09-07T07:55:56.1703658Z Entering 'third_party/aiter' 2025-09-07T07:55:56.1748242Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:55:56.1861766Z Entering 'third_party/benchmark' 2025-09-07T07:55:56.1908151Z Entering 'third_party/composable_kernel' 2025-09-07T07:55:56.2003568Z Entering 'third_party/cpp-httplib' 2025-09-07T07:55:56.2101530Z Entering 'third_party/cpuinfo' 2025-09-07T07:55:56.2174674Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:55:56.2221157Z Entering 'third_party/cutlass' 2025-09-07T07:55:56.2301106Z Entering 'third_party/fbgemm' 2025-09-07T07:55:56.2360919Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:55:56.2407500Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:55:56.2471913Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:55:56.2573894Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:55:56.2658112Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:55:56.2735184Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:55:56.2800107Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:55:56.2910544Z Entering 'third_party/flash-attention' 2025-09-07T07:55:56.2982823Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:55:56.3092203Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:55:56.3168105Z Entering 'third_party/flatbuffers' 2025-09-07T07:55:56.3250359Z Entering 'third_party/fmt' 2025-09-07T07:55:56.3295790Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:55:56.3384805Z Entering 'third_party/gloo' 2025-09-07T07:55:56.3469394Z Entering 'third_party/googletest' 2025-09-07T07:55:56.3547470Z Entering 'third_party/ideep' 2025-09-07T07:55:56.3645848Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:55:56.3778097Z Entering 'third_party/ittapi' 2025-09-07T07:55:56.3944986Z Entering 'third_party/kineto' 2025-09-07T07:55:56.4023313Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:55:56.4070176Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:55:56.4129898Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:55:56.4182307Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:55:56.4228773Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:55:56.4274941Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:55:56.4359044Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:55:56.4453579Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:55:56.4516784Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:55:56.4591210Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:55:56.4657935Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:55:56.4740715Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:55:56.4832694Z Entering 'third_party/kleidiai' 2025-09-07T07:55:56.4888903Z Entering 'third_party/mimalloc' 2025-09-07T07:55:56.4939806Z Entering 'third_party/nlohmann' 2025-09-07T07:55:56.4988440Z Entering 'third_party/onnx' 2025-09-07T07:55:56.5051849Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:55:56.5099254Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:55:56.5156831Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:55:56.5201146Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:55:56.5286533Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:55:56.5337436Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:55:56.5427601Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:55:56.5556106Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:55:56.5633419Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:55:56.5738363Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:55:56.5807916Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:55:56.5866649Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:55:56.5937808Z Entering 'third_party/pocketfft' 2025-09-07T07:55:56.5985317Z Entering 'third_party/protobuf' 2025-09-07T07:55:56.6098822Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:55:56.6150091Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:55:56.6199076Z Entering 'third_party/psimd' 2025-09-07T07:55:56.6246376Z Entering 'third_party/pthreadpool' 2025-09-07T07:55:56.6309791Z Entering 'third_party/pybind11' 2025-09-07T07:55:56.6359464Z Entering 'third_party/python-peachpy' 2025-09-07T07:55:56.6462836Z Entering 'third_party/sleef' 2025-09-07T07:55:56.6512210Z Entering 'third_party/tensorpipe' 2025-09-07T07:55:56.6557145Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:55:56.6615487Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:55:56.6669105Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:55:56.6749294Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:55:56.6800179Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:55:56.6922798Z ##[endgroup] 2025-09-07T07:55:56.6962511Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T07:55:56.6986884Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:55:56.7172697Z Prepare all required actions 2025-09-07T07:55:56.7173184Z Getting action download info 2025-09-07T07:55:56.9477549Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T07:55:56.9477804Z env: 2025-09-07T07:55:56.9477969Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:55:56.9478164Z ##[endgroup] 2025-09-07T07:55:56.9720561Z ##[group]Run set -euo pipefail 2025-09-07T07:55:56.9720859Z set -euo pipefail 2025-09-07T07:55:56.9721136Z function get_ec2_metadata() { 2025-09-07T07:55:56.9721424Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T07:55:56.9721969Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T07:55:56.9722474Z  category=$1 2025-09-07T07:55:56.9722790Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T07:55:56.9723119Z  runner_name_str=i-0d3ed1ff3ccbeec77-1002 2025-09-07T07:55:56.9723425Z  if [[ -f /.inarc ]]; then 2025-09-07T07:55:56.9723701Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T07:55:56.9723993Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T07:55:56.9724404Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T07:55:56.9724716Z  else 2025-09-07T07:55:56.9725336Z  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}" 2025-09-07T07:55:56.9725962Z  fi 2025-09-07T07:55:56.9726117Z } 2025-09-07T07:55:56.9726312Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T07:55:56.9726877Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T07:55:56.9727218Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T07:55:56.9727696Z echo "system info $(uname -a)" 2025-09-07T07:55:56.9743857Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:55:56.9744147Z env: 2025-09-07T07:55:56.9744315Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:55:56.9744513Z ##[endgroup] 2025-09-07T07:55:56.9788441Z ami-id: ARC Runner, no info on ec2 metadata 2025-09-07T07:55:56.9794677Z instance-id: ARC Runner, no info on ec2 metadata 2025-09-07T07:55:56.9800619Z instance-type: ARC Runner, no info on ec2 metadata 2025-09-07T07:55:56.9811670Z system info Linux 67d851dd8218 6.8.0-1018-aws #19~22.04.1-Ubuntu SMP Wed Oct 9 16:48:22 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T07:55:56.9904494Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:55:56.9905401Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:55:56.9921118Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:55:56.9921420Z env: 2025-09-07T07:55:56.9921593Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:55:56.9921790Z ##[endgroup] 2025-09-07T07:55:57.0121483Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:55:57.0121724Z with: 2025-09-07T07:55:57.0121903Z shell: bash 2025-09-07T07:55:57.0122093Z timeout_minutes: 5 2025-09-07T07:55:57.0122275Z max_attempts: 3 2025-09-07T07:55:57.0122453Z retry_wait_seconds: 30 2025-09-07T07:55:57.0124334Z command: AWS_ACCOUNT_ID=$(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 2025-09-07T07:55:57.0126021Z polling_interval_seconds: 1 2025-09-07T07:55:57.0126234Z warning_on_retry: true 2025-09-07T07:55:57.0126428Z continue_on_error: false 2025-09-07T07:55:57.0126611Z env: 2025-09-07T07:55:57.0126768Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:55:57.0126960Z AWS_RETRY_MODE: standard 2025-09-07T07:55:57.0127143Z AWS_MAX_ATTEMPTS: 5 2025-09-07T07:55:57.0127485Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T07:55:57.0127690Z ##[endgroup] 2025-09-07T07:55:58.3692839Z 2025-09-07T07:55:58.3693423Z WARNING! Your credentials are stored unencrypted in '/home/bob/.docker/config.json'. 2025-09-07T07:55:58.3693945Z Configure a credential helper to remove this warning. See 2025-09-07T07:55:58.3694349Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:55:58.3694562Z 2025-09-07T07:55:58.3694640Z Login Succeeded 2025-09-07T07:55:59.0866693Z Command completed after 1 attempt(s). 2025-09-07T07:55:59.1035922Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:55:59.1036369Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:55:59.1036733Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:55:59.1052330Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:55:59.1052623Z env: 2025-09-07T07:55:59.1052791Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:55:59.1052996Z ##[endgroup] 2025-09-07T07:55:59.1206175Z ##[group]Run set +e 2025-09-07T07:55:59.1206410Z set +e 2025-09-07T07:55:59.1206587Z set -x 2025-09-07T07:55:59.1206756Z  2025-09-07T07:55:59.1206943Z PT_DOMAIN=download.pytorch.org 2025-09-07T07:55:59.1207849Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T07:55:59.1208437Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T07:55:59.1208862Z # one is returned at random 2025-09-07T07:55:59.1209171Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T07:55:59.1209454Z  2025-09-07T07:55:59.1209646Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:55:59.1209982Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T07:55:59.1210376Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T07:55:59.1210650Z  2025-09-07T07:55:59.1210823Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:55:59.1211101Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T07:55:59.1211364Z  exit 1 2025-09-07T07:55:59.1211544Z  fi 2025-09-07T07:55:59.1211696Z fi 2025-09-07T07:55:59.1211860Z  2025-09-07T07:55:59.1212057Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T07:55:59.1212335Z  # Clean up any old records first 2025-09-07T07:55:59.1212599Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T07:55:59.1212835Z fi 2025-09-07T07:55:59.1212989Z  2025-09-07T07:55:59.1213217Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T07:55:59.1213501Z cat /etc/hosts 2025-09-07T07:55:59.1229679Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:55:59.1229987Z env: 2025-09-07T07:55:59.1230159Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:55:59.1230357Z ##[endgroup] 2025-09-07T07:55:59.1263240Z + PT_DOMAIN=download.pytorch.org 2025-09-07T07:55:59.1269475Z ++ dig -4 +short download.pytorch.org 2025-09-07T07:55:59.1271495Z ++ tail -n1 2025-09-07T07:55:59.1468223Z + RESOLVED_IP=18.160.10.22 2025-09-07T07:55:59.1468464Z + '[' -z 18.160.10.22 ']' 2025-09-07T07:55:59.1468702Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T07:55:59.1483215Z + echo '18.160.10.22 download.pytorch.org' 2025-09-07T07:55:59.1484809Z + sudo tee -a /etc/hosts 2025-09-07T07:55:59.1547566Z 18.160.10.22 download.pytorch.org 2025-09-07T07:55:59.1556909Z + cat /etc/hosts 2025-09-07T07:55:59.1564822Z 127.0.0.1 localhost 2025-09-07T07:55:59.1569226Z ::1 localhost ip6-localhost ip6-loopback 2025-09-07T07:55:59.1569528Z fe00:: ip6-localnet 2025-09-07T07:55:59.1569726Z ff00:: ip6-mcastprefix 2025-09-07T07:55:59.1569932Z ff02::1 ip6-allnodes 2025-09-07T07:55:59.1570111Z ff02::2 ip6-allrouters 2025-09-07T07:55:59.1570302Z 172.17.0.2 67d851dd8218 2025-09-07T07:55:59.1570500Z 18.160.10.22 download.pytorch.org 2025-09-07T07:55:59.1588046Z ##[group]Run set +x 2025-09-07T07:55:59.1588256Z set +x 2025-09-07T07:55:59.1588418Z  2025-09-07T07:55:59.1588577Z max_attempts=30 2025-09-07T07:55:59.1588783Z delay=10 2025-09-07T07:55:59.1588967Z attempt=1 2025-09-07T07:55:59.1589136Z  2025-09-07T07:55:59.1589320Z for attempt in $(seq 1 $max_attempts); do 2025-09-07T07:55:59.1589705Z  echo "Attempt $attempt of $max_attempts: Checking if Docker daemon is running..." 2025-09-07T07:55:59.1590079Z  if docker info > /dev/null 2>&1; then 2025-09-07T07:55:59.1590389Z  echo "Docker is running. Proceeding with the next steps" 2025-09-07T07:55:59.1590673Z  exit 0 2025-09-07T07:55:59.1590841Z  else 2025-09-07T07:55:59.1591033Z  echo "Docker is not running yet." 2025-09-07T07:55:59.1591292Z  echo "Retrying in $delay seconds..." 2025-09-07T07:55:59.1591531Z  sleep $delay 2025-09-07T07:55:59.1591708Z  fi 2025-09-07T07:55:59.1591867Z done 2025-09-07T07:55:59.1592127Z echo "Reached maximum attempts to connect to Docker. Exiting." 2025-09-07T07:55:59.1592614Z exit 1 2025-09-07T07:55:59.1607026Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:55:59.1607447Z env: 2025-09-07T07:55:59.1607616Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:55:59.1607819Z ##[endgroup] 2025-09-07T07:55:59.1651914Z Attempt 1 of 30: Checking if Docker daemon is running... 2025-09-07T07:55:59.2053579Z Docker is running. Proceeding with the next steps 2025-09-07T07:55:59.2194093Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T07:55:59.2194474Z with: 2025-09-07T07:55:59.2195137Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:55:59.2195857Z use-custom-docker-registry: true 2025-09-07T07:55:59.2196083Z docker-build-dir: .ci/docker 2025-09-07T07:55:59.2196305Z docker-build-script: ./build.sh 2025-09-07T07:55:59.2196522Z working-directory: . 2025-09-07T07:55:59.2196797Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:55:59.2197083Z force-push: false 2025-09-07T07:55:59.2197418Z env: 2025-09-07T07:55:59.2197584Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:55:59.2197777Z ##[endgroup] 2025-09-07T07:55:59.2361156Z ##[group]Run set -ex 2025-09-07T07:55:59.2361387Z set -ex 2025-09-07T07:55:59.2361550Z  2025-09-07T07:55:59.2361890Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T07:55:59.2362378Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T07:55:59.2362789Z # job could then download the pre-built image as usual 2025-09-07T07:55:59.2363276Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T07:55:59.2363733Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T07:55:59.2363992Z else 2025-09-07T07:55:59.2364188Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:55:59.2364505Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:55:59.2364800Z  2025-09-07T07:55:59.2365209Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T07:55:59.2365661Z  exit 0 2025-09-07T07:55:59.2365818Z fi 2025-09-07T07:55:59.2365969Z  2025-09-07T07:55:59.2366210Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T07:55:59.2366636Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T07:55:59.2367019Z  # use it as it is, but first let's extract the tag 2025-09-07T07:55:59.2367528Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T07:55:59.2367904Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:55:59.2368254Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:55:59.2368551Z else 2025-09-07T07:55:59.2368746Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T07:55:59.2369011Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T07:55:59.2369297Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T07:55:59.2369534Z  fi 2025-09-07T07:55:59.2369858Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T07:55:59.2370287Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:55:59.2370739Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:55:59.2371248Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:55:59.2371779Z fi 2025-09-07T07:55:59.2386868Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:55:59.2387166Z env: 2025-09-07T07:55:59.2387472Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:55:59.2387694Z REPO_NAME: pytorch 2025-09-07T07:55:59.2388607Z 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 2025-09-07T07:55:59.2389329Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:55:59.2389535Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T07:55:59.2389815Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:55:59.2390101Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T07:55:59.2390310Z CUSTOM_TAG_PREFIX: 2025-09-07T07:55:59.2390479Z ##[endgroup] 2025-09-07T07:55:59.2425641Z + [[ -d .ci/docker ]] 2025-09-07T07:55:59.2425919Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T07:55:59.2426226Z + [[ true == \t\r\u\e ]] 2025-09-07T07:55:59.2426462Z + echo skip=false 2025-09-07T07:55:59.2427744Z + [[ 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* ]] 2025-09-07T07:55:59.2433340Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:55:59.2434413Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T07:55:59.2449116Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:55:59.2450131Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:55:59.2451393Z + 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 2025-09-07T07:55:59.2536617Z ##[group]Run set +e 2025-09-07T07:55:59.2536856Z set +e 2025-09-07T07:55:59.2537027Z set -x 2025-09-07T07:55:59.2537191Z  2025-09-07T07:55:59.2537500Z login() { 2025-09-07T07:55:59.2537880Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:55:59.2538299Z } 2025-09-07T07:55:59.2538459Z  2025-09-07T07:55:59.2538608Z retry () { 2025-09-07T07:55:59.2538813Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:55:59.2539057Z } 2025-09-07T07:55:59.2539213Z  2025-09-07T07:55:59.2539378Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:55:59.2539608Z  2025-09-07T07:55:59.2539769Z START_TIME=$(date +%s) 2025-09-07T07:55:59.2540004Z # Wait up to 120 minutes 2025-09-07T07:55:59.2540278Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T07:55:59.2540654Z  # Check if image already exists, if it does then skip building it 2025-09-07T07:55:59.2541007Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T07:55:59.2541272Z  exit 0 2025-09-07T07:55:59.2541449Z  fi 2025-09-07T07:55:59.2541612Z  2025-09-07T07:55:59.2541891Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T07:55:59.2542360Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T07:55:59.2542828Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T07:55:59.2543198Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T07:55:59.2543493Z  # It's a Docker build job, let's build the image 2025-09-07T07:55:59.2543976Z  break 2025-09-07T07:55:59.2544146Z  else 2025-09-07T07:55:59.2544396Z  # It's a regular build job, wait for the image to become available 2025-09-07T07:55:59.2544689Z  sleep 300 2025-09-07T07:55:59.2544868Z  fi 2025-09-07T07:55:59.2545032Z done 2025-09-07T07:55:59.2545190Z  2025-09-07T07:55:59.2545655Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T07:55:59.2546074Z # be empty. The default action would be to continue rebuild the image 2025-09-07T07:55:59.2546446Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T07:55:59.2546778Z  # if we're on the base branch then use the parent commit 2025-09-07T07:55:59.2547063Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T07:55:59.2547436Z else 2025-09-07T07:55:59.2547676Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T07:55:59.2548022Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T07:55:59.2548283Z fi 2025-09-07T07:55:59.2548428Z  2025-09-07T07:55:59.2548623Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T07:55:59.2548888Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:55:59.2549126Z  2025-09-07T07:55:59.2549459Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T07:55:59.2549850Z  exit 0 2025-09-07T07:55:59.2550011Z fi 2025-09-07T07:55:59.2550170Z  2025-09-07T07:55:59.2550391Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T07:55:59.2550866Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T07:55:59.2551278Z  exit 1 2025-09-07T07:55:59.2551442Z fi 2025-09-07T07:55:59.2551598Z  2025-09-07T07:55:59.2551850Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T07:55:59.2552366Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T07:55:59.2552782Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T07:55:59.2553261Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T07:55:59.2553798Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T07:55:59.2554118Z fi 2025-09-07T07:55:59.2554259Z  2025-09-07T07:55:59.2554455Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:55:59.2581222Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:55:59.2581523Z env: 2025-09-07T07:55:59.2581693Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:55:59.2581912Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:55:59.2582162Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:55:59.2582902Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:55:59.2583879Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:55:59.2584460Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:55:59.2584745Z DOCKER_PUSH: 2025-09-07T07:55:59.2584920Z ##[endgroup] 2025-09-07T07:55:59.2647713Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:55:59.2648048Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:55:59.2650841Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:55:59.2652345Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:55:59.9072599Z 2025-09-07T07:55:59.9073087Z WARNING! Your credentials are stored unencrypted in '/home/bob/.docker/config.json'. 2025-09-07T07:55:59.9073718Z Configure a credential helper to remove this warning. See 2025-09-07T07:55:59.9074176Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:55:59.9074441Z 2025-09-07T07:55:59.9074537Z Login Succeeded 2025-09-07T07:55:59.9102424Z ++ date +%s 2025-09-07T07:55:59.9112793Z + START_TIME=1757231759 2025-09-07T07:55:59.9116701Z ++ date +%s 2025-09-07T07:55:59.9127109Z + [[ 1757224559 -lt 1757231759 ]] 2025-09-07T07:55:59.9128121Z + 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 2025-09-07T07:56:00.1060158Z { 2025-09-07T07:56:00.1060551Z "schemaVersion": 2, 2025-09-07T07:56:00.1060920Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T07:56:00.1061339Z "config": { 2025-09-07T07:56:00.1061628Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T07:56:00.1061992Z "size": 31375, 2025-09-07T07:56:00.1062348Z "digest": 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"sha256:64a544aba233551e38898f138dd6ba3161ccdb9554e0ffb5b9d8f0f7fe4a7fa8" 2025-09-07T07:56:00.1158491Z }, 2025-09-07T07:56:00.1158633Z { 2025-09-07T07:56:00.1158982Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:00.1159283Z "size": 13362696, 2025-09-07T07:56:00.1159564Z "digest": "sha256:7e35418a24997de5428763c93826679486760a1a9563209ae64de66ba45f99c1" 2025-09-07T07:56:00.1159876Z }, 2025-09-07T07:56:00.1160012Z { 2025-09-07T07:56:00.1160236Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:00.1160516Z "size": 108, 2025-09-07T07:56:00.1160794Z "digest": "sha256:2ed8e82748d4a1131f41d9e41322f47a6ffef67a5a2b7bf5392237db5c035c61" 2025-09-07T07:56:00.1161117Z }, 2025-09-07T07:56:00.1161261Z { 2025-09-07T07:56:00.1161474Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:00.1161757Z "size": 54145663, 2025-09-07T07:56:00.1162048Z "digest": "sha256:c988fbcccd708fb158a81c429d32e1060a7e40924fc3c987c629fa69d9484717" 2025-09-07T07:56:00.1162375Z }, 2025-09-07T07:56:00.1162515Z { 2025-09-07T07:56:00.1162748Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:00.1163057Z "size": 32, 2025-09-07T07:56:00.1163344Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:56:00.1163671Z } 2025-09-07T07:56:00.1163808Z ] 2025-09-07T07:56:00.1163943Z } 2025-09-07T07:56:00.1164090Z + exit 0 2025-09-07T07:56:00.1187135Z ##[group]Run set -eux 2025-09-07T07:56:00.1187536Z set -eux 2025-09-07T07:56:00.1187845Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T07:56:00.1188665Z 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 2025-09-07T07:56:00.1205298Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:56:00.1205598Z env: 2025-09-07T07:56:00.1205768Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:56:00.1205967Z ##[endgroup] 2025-09-07T07:56:00.1240499Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T07:56:00.1241332Z + jq --raw-output .SecretString 2025-09-07T07:56:00.1244074Z + jq -r .docker_hub_readonly_token 2025-09-07T07:56:00.1244842Z + docker login --username pytorchbot --password-stdin 2025-09-07T07:56:00.8093207Z 2025-09-07T07:56:00.8093733Z WARNING! Your credentials are stored unencrypted in '/home/bob/.docker/config.json'. 2025-09-07T07:56:00.8094309Z Configure a credential helper to remove this warning. See 2025-09-07T07:56:00.8094801Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:56:00.8095068Z 2025-09-07T07:56:00.8095160Z Login Succeeded 2025-09-07T07:56:00.8177568Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:56:00.8178012Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:56:00.8178323Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T07:56:00.8194025Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:56:00.8194322Z env: 2025-09-07T07:56:00.8194481Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:56:00.8195171Z 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 2025-09-07T07:56:00.8195871Z ##[endgroup] 2025-09-07T07:56:00.8230229Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:00.8276610Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T07:56:00.8277195Z with: 2025-09-07T07:56:00.8278027Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:00.8278795Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:56:00.8279082Z env: 2025-09-07T07:56:00.8279244Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:56:00.8279439Z ##[endgroup] 2025-09-07T07:56:00.8292385Z ##[group]Run set -x 2025-09-07T07:56:00.8292597Z set -x 2025-09-07T07:56:00.8292775Z set +e 2025-09-07T07:56:00.8292937Z  2025-09-07T07:56:00.8293088Z login() { 2025-09-07T07:56:00.8293460Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:56:00.8293836Z } 2025-09-07T07:56:00.8293990Z  2025-09-07T07:56:00.8294290Z retry () { 2025-09-07T07:56:00.8294500Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:56:00.8294809Z } 2025-09-07T07:56:00.8294963Z  2025-09-07T07:56:00.8295148Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:56:00.8295370Z  2025-09-07T07:56:00.8295710Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T07:56:00.8296177Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T07:56:00.8296444Z  2025-09-07T07:56:00.8296594Z set -e 2025-09-07T07:56:00.8296859Z # ignore output since only exit code is used for conditional 2025-09-07T07:56:00.8297216Z # only pull docker image if it's not available locally 2025-09-07T07:56:00.8297751Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T07:56:00.8298124Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T07:56:00.8298376Z fi 2025-09-07T07:56:00.8312308Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:56:00.8312599Z env: 2025-09-07T07:56:00.8312769Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:56:00.8313449Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:00.8314203Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:56:00.8314487Z ##[endgroup] 2025-09-07T07:56:00.8344420Z + set +e 2025-09-07T07:56:00.8344664Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:56:00.8344982Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:56:00.8347190Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:56:00.8349603Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:56:01.4622616Z 2025-09-07T07:56:01.4623007Z WARNING! Your credentials are stored unencrypted in '/home/bob/.docker/config.json'. 2025-09-07T07:56:01.4623569Z Configure a credential helper to remove this warning. See 2025-09-07T07:56:01.4623958Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:56:01.4624174Z 2025-09-07T07:56:01.4624263Z Login Succeeded 2025-09-07T07:56:01.4650642Z ++ 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 2025-09-07T07:56:01.4651673Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T07:56:01.6843854Z + IMAGE_SIZE=36183.606596946716 2025-09-07T07:56:01.6844189Z + echo 'Compressed size of image in MB: 36183.606596946716' 2025-09-07T07:56:01.6844520Z + set -e 2025-09-07T07:56:01.6845715Z + 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 2025-09-07T07:56:01.6846860Z Compressed size of image in MB: 36183.606596946716 2025-09-07T07:56:01.6970313Z + 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 2025-09-07T07:56:01.6971797Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:02.1281943Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T07:56:02.1282746Z e6fdc8487bfe: Pulling fs layer 2025-09-07T07:56:02.1283017Z 171dcef20c49: Pulling fs layer 2025-09-07T07:56:02.1283274Z 4c92b3f72f1d: Pulling fs layer 2025-09-07T07:56:02.1283535Z 744f9ba90a65: Pulling fs layer 2025-09-07T07:56:02.1283798Z d3c08322a332: Pulling fs layer 2025-09-07T07:56:02.1284053Z ffd43b71f3cc: Pulling fs layer 2025-09-07T07:56:02.1284301Z 830692b57f6e: Pulling fs layer 2025-09-07T07:56:02.1284538Z 5bad36d18468: Pulling fs layer 2025-09-07T07:56:02.1284776Z 0e34fdd9ac5c: Pulling fs layer 2025-09-07T07:56:02.1285013Z 3c868a62868e: Pulling fs layer 2025-09-07T07:56:02.1285244Z 62170a22dd57: Pulling fs layer 2025-09-07T07:56:02.1285482Z 553c1d23b6c4: Pulling fs layer 2025-09-07T07:56:02.1285740Z 744f9ba90a65: Waiting 2025-09-07T07:56:02.1285955Z d3c08322a332: Waiting 2025-09-07T07:56:02.1286178Z 9408d557a804: Pulling fs layer 2025-09-07T07:56:02.1286445Z df607cfc7c07: Pulling fs layer 2025-09-07T07:56:02.1286681Z ffd43b71f3cc: Waiting 2025-09-07T07:56:02.1286888Z 830692b57f6e: Waiting 2025-09-07T07:56:02.1287104Z 4f4fb700ef54: Pulling fs layer 2025-09-07T07:56:02.1287558Z 40a8e39faeda: Pulling fs layer 2025-09-07T07:56:02.1287800Z 0e34fdd9ac5c: Waiting 2025-09-07T07:56:02.1288006Z 5bad36d18468: Waiting 2025-09-07T07:56:02.1288223Z d895771c9fac: Pulling fs layer 2025-09-07T07:56:02.1288447Z df607cfc7c07: Waiting 2025-09-07T07:56:02.1288653Z 3c868a62868e: Waiting 2025-09-07T07:56:02.1288850Z 62170a22dd57: Waiting 2025-09-07T07:56:02.1289059Z c4ee04f39d49: Pulling fs layer 2025-09-07T07:56:02.1289283Z 9408d557a804: Waiting 2025-09-07T07:56:02.1289495Z 553c1d23b6c4: Waiting 2025-09-07T07:56:02.1289701Z d895771c9fac: Waiting 2025-09-07T07:56:02.1289910Z 3690c9826e48: Pulling fs layer 2025-09-07T07:56:02.1290131Z 40a8e39faeda: Waiting 2025-09-07T07:56:02.1290346Z 57cbc5013733: Pulling fs layer 2025-09-07T07:56:02.1290638Z f5f4b06b58bb: Pulling fs layer 2025-09-07T07:56:02.1290918Z 4f4fb700ef54: Waiting 2025-09-07T07:56:02.1291121Z f59713ce4bf4: Pulling fs layer 2025-09-07T07:56:02.1291345Z 57cbc5013733: Waiting 2025-09-07T07:56:02.1291542Z f5f4b06b58bb: Waiting 2025-09-07T07:56:02.1291745Z fe0486521517: Pulling fs layer 2025-09-07T07:56:02.1291972Z 8c21cc3715a2: Pulling fs layer 2025-09-07T07:56:02.1292200Z f59713ce4bf4: Waiting 2025-09-07T07:56:02.1292402Z 3690c9826e48: Waiting 2025-09-07T07:56:02.1292597Z fe0486521517: Waiting 2025-09-07T07:56:02.1292810Z d37c58456a6a: Pulling fs layer 2025-09-07T07:56:02.1293037Z c4ee04f39d49: Waiting 2025-09-07T07:56:02.1293246Z d042f63abc13: Pulling fs layer 2025-09-07T07:56:02.1293483Z 621284a9c05a: Pulling fs layer 2025-09-07T07:56:02.1293712Z 85f605d2dd3a: Pulling fs layer 2025-09-07T07:56:02.1293948Z 381b5539e598: Pulling fs layer 2025-09-07T07:56:02.1294173Z d042f63abc13: Waiting 2025-09-07T07:56:02.1294372Z a487c0c80029: Pulling fs layer 2025-09-07T07:56:02.1294595Z d37c58456a6a: Waiting 2025-09-07T07:56:02.1294912Z 621284a9c05a: Waiting 2025-09-07T07:56:02.1295122Z 8c21cc3715a2: Waiting 2025-09-07T07:56:02.1295322Z 85f605d2dd3a: Waiting 2025-09-07T07:56:02.1295535Z 48bcb81e2566: Pulling fs layer 2025-09-07T07:56:02.1295769Z a487c0c80029: Waiting 2025-09-07T07:56:02.1295967Z 381b5539e598: Waiting 2025-09-07T07:56:02.1296160Z 48bcb81e2566: Waiting 2025-09-07T07:56:02.1296369Z e261928c0043: Pulling fs layer 2025-09-07T07:56:02.1296857Z 0fea55428091: Pulling fs layer 2025-09-07T07:56:02.1297106Z b4291bccbb84: Pulling fs layer 2025-09-07T07:56:02.1297653Z ddc91b09189a: Pulling fs layer 2025-09-07T07:56:02.1297890Z e261928c0043: Waiting 2025-09-07T07:56:02.1298094Z b4291bccbb84: Waiting 2025-09-07T07:56:02.1298318Z 7540c7428627: Pulling fs layer 2025-09-07T07:56:02.1298549Z 0fea55428091: Waiting 2025-09-07T07:56:02.1298744Z ddc91b09189a: Waiting 2025-09-07T07:56:02.1298952Z 003c4e2598fb: Pulling fs layer 2025-09-07T07:56:02.1299176Z 7540c7428627: Waiting 2025-09-07T07:56:02.1299377Z 5687149362ae: Pulling fs layer 2025-09-07T07:56:02.1299605Z cdd2cf54eb2a: Pulling fs layer 2025-09-07T07:56:02.1299846Z d3ad4df1ba3a: Pulling fs layer 2025-09-07T07:56:02.1300080Z 3c9055753b4c: Pulling fs layer 2025-09-07T07:56:02.1300314Z 31cf8d0bd21c: Pulling fs layer 2025-09-07T07:56:02.1300541Z 6623ea814971: Pulling fs layer 2025-09-07T07:56:02.1300780Z 11696c3aa380: Pulling fs layer 2025-09-07T07:56:02.1301016Z ef4d544e35ca: Pulling fs layer 2025-09-07T07:56:02.1301220Z 003c4e2598fb: Waiting 2025-09-07T07:56:02.1301381Z 31cf8d0bd21c: Waiting 2025-09-07T07:56:02.1301550Z 11696c3aa380: Waiting 2025-09-07T07:56:02.1301713Z 3c9055753b4c: Waiting 2025-09-07T07:56:02.1301867Z 6623ea814971: Waiting 2025-09-07T07:56:02.1302025Z 5687149362ae: Waiting 2025-09-07T07:56:02.1302185Z ef4d544e35ca: Waiting 2025-09-07T07:56:02.1302354Z 5c5108865e5e: Pulling fs layer 2025-09-07T07:56:02.1302536Z cdd2cf54eb2a: Waiting 2025-09-07T07:56:02.1302706Z d3ad4df1ba3a: Waiting 2025-09-07T07:56:02.1302870Z 5c5108865e5e: Waiting 2025-09-07T07:56:02.1303040Z 9e97578e9edf: Pulling fs layer 2025-09-07T07:56:02.1303230Z da5a91b54cb5: Pulling fs layer 2025-09-07T07:56:02.1303427Z 1e93be219e89: Pulling fs layer 2025-09-07T07:56:02.1303621Z 136825afebb5: Pulling fs layer 2025-09-07T07:56:02.1303807Z 9e97578e9edf: Waiting 2025-09-07T07:56:02.1303963Z 1e93be219e89: Waiting 2025-09-07T07:56:02.1304139Z 22b39805302d: Pulling fs layer 2025-09-07T07:56:02.1304326Z da5a91b54cb5: Waiting 2025-09-07T07:56:02.1304518Z d12add675e35: Pulling fs layer 2025-09-07T07:56:02.1304701Z 136825afebb5: Waiting 2025-09-07T07:56:02.1304879Z bc127046d33a: Pulling fs layer 2025-09-07T07:56:02.1305063Z 22b39805302d: Waiting 2025-09-07T07:56:02.1305232Z 951e8ce83841: Pulling fs layer 2025-09-07T07:56:02.1305410Z d12add675e35: Waiting 2025-09-07T07:56:02.1305582Z 32340b97ae50: Pulling fs layer 2025-09-07T07:56:02.1305772Z bc127046d33a: Waiting 2025-09-07T07:56:02.1305934Z 951e8ce83841: Waiting 2025-09-07T07:56:02.1306096Z 32340b97ae50: Waiting 2025-09-07T07:56:02.1306269Z 5bbb04cd6b57: Pulling fs layer 2025-09-07T07:56:02.1306468Z d8c4b845cfc7: Pulling fs layer 2025-09-07T07:56:02.1306677Z b35c180f4d8d: Pulling fs layer 2025-09-07T07:56:02.1306864Z 5bbb04cd6b57: Waiting 2025-09-07T07:56:02.1307041Z 5f967b3c303a: Pulling fs layer 2025-09-07T07:56:02.1307231Z d8c4b845cfc7: Waiting 2025-09-07T07:56:02.1307529Z b35c180f4d8d: Waiting 2025-09-07T07:56:02.1307693Z 04770904f012: Pulling fs layer 2025-09-07T07:56:02.1307887Z 73373941fb32: Pulling fs layer 2025-09-07T07:56:02.1308083Z 9572e6cd907b: Pulling fs layer 2025-09-07T07:56:02.1308279Z 04770904f012: Waiting 2025-09-07T07:56:02.1308437Z 5f967b3c303a: Waiting 2025-09-07T07:56:02.1308608Z 64a544aba233: Pulling fs layer 2025-09-07T07:56:02.1308791Z 73373941fb32: Waiting 2025-09-07T07:56:02.1308952Z 9572e6cd907b: Waiting 2025-09-07T07:56:02.1309116Z 7e35418a2499: Pulling fs layer 2025-09-07T07:56:02.1309298Z 64a544aba233: Waiting 2025-09-07T07:56:02.1309467Z 2ed8e82748d4: Pulling fs layer 2025-09-07T07:56:02.1309651Z 7e35418a2499: Waiting 2025-09-07T07:56:02.1309815Z c988fbcccd70: Pulling fs layer 2025-09-07T07:56:02.1310003Z 2ed8e82748d4: Waiting 2025-09-07T07:56:02.1310168Z c988fbcccd70: Waiting 2025-09-07T07:56:02.2086661Z 171dcef20c49: Verifying Checksum 2025-09-07T07:56:02.2086977Z 171dcef20c49: Download complete 2025-09-07T07:56:02.2936540Z 744f9ba90a65: Verifying Checksum 2025-09-07T07:56:02.2936928Z 744f9ba90a65: Download complete 2025-09-07T07:56:02.3694322Z d3c08322a332: Download complete 2025-09-07T07:56:02.4545688Z ffd43b71f3cc: Download complete 2025-09-07T07:56:02.4909825Z e6fdc8487bfe: Verifying Checksum 2025-09-07T07:56:02.4910116Z e6fdc8487bfe: Download complete 2025-09-07T07:56:02.5205065Z 830692b57f6e: Verifying Checksum 2025-09-07T07:56:02.5205422Z 830692b57f6e: Download complete 2025-09-07T07:56:02.5726837Z 5bad36d18468: Verifying Checksum 2025-09-07T07:56:02.5727145Z 5bad36d18468: Download complete 2025-09-07T07:56:02.6726674Z 3c868a62868e: Verifying Checksum 2025-09-07T07:56:02.6727012Z 3c868a62868e: Download complete 2025-09-07T07:56:02.7561326Z 62170a22dd57: Verifying Checksum 2025-09-07T07:56:02.7561689Z 62170a22dd57: Download complete 2025-09-07T07:56:02.8401435Z 553c1d23b6c4: Verifying Checksum 2025-09-07T07:56:02.8401788Z 553c1d23b6c4: Download complete 2025-09-07T07:56:02.9146788Z 9408d557a804: Verifying Checksum 2025-09-07T07:56:02.9147098Z 9408d557a804: Download complete 2025-09-07T07:56:03.2184101Z e6fdc8487bfe: Pull complete 2025-09-07T07:56:03.2582953Z 171dcef20c49: Pull complete 2025-09-07T07:56:03.6860480Z 0e34fdd9ac5c: Verifying Checksum 2025-09-07T07:56:03.6860871Z 0e34fdd9ac5c: Download complete 2025-09-07T07:56:03.6933883Z 4f4fb700ef54: Verifying Checksum 2025-09-07T07:56:03.6934236Z 4f4fb700ef54: Download complete 2025-09-07T07:56:03.7506921Z 40a8e39faeda: Verifying Checksum 2025-09-07T07:56:03.7507205Z 40a8e39faeda: Download complete 2025-09-07T07:56:04.3270657Z d895771c9fac: Verifying Checksum 2025-09-07T07:56:04.3271011Z d895771c9fac: Download complete 2025-09-07T07:56:04.3896112Z c4ee04f39d49: Download complete 2025-09-07T07:56:04.4940557Z 3690c9826e48: Verifying Checksum 2025-09-07T07:56:04.4940873Z 3690c9826e48: Download complete 2025-09-07T07:56:04.5766508Z 57cbc5013733: Verifying Checksum 2025-09-07T07:56:04.5766811Z 57cbc5013733: Download complete 2025-09-07T07:56:04.6531368Z f5f4b06b58bb: Verifying Checksum 2025-09-07T07:56:04.6531653Z f5f4b06b58bb: Download complete 2025-09-07T07:56:04.7117567Z f59713ce4bf4: Download complete 2025-09-07T07:56:04.7711299Z fe0486521517: Verifying Checksum 2025-09-07T07:56:04.7711639Z fe0486521517: Download complete 2025-09-07T07:56:05.3040047Z 4c92b3f72f1d: Verifying Checksum 2025-09-07T07:56:05.3040401Z 4c92b3f72f1d: Download complete 2025-09-07T07:56:05.3855807Z d37c58456a6a: Download complete 2025-09-07T07:56:05.8450961Z d042f63abc13: Verifying Checksum 2025-09-07T07:56:05.8451337Z d042f63abc13: Download complete 2025-09-07T07:56:05.9236877Z 621284a9c05a: Verifying Checksum 2025-09-07T07:56:05.9237729Z 621284a9c05a: Download complete 2025-09-07T07:56:06.0126063Z 85f605d2dd3a: Verifying Checksum 2025-09-07T07:56:06.0126401Z 85f605d2dd3a: Download complete 2025-09-07T07:56:10.6540396Z 381b5539e598: Verifying Checksum 2025-09-07T07:56:10.6540771Z 381b5539e598: Download complete 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2025-09-07T08:14:47.1574992Z 73373941fb32: Pull complete 2025-09-07T08:14:47.5424139Z 9572e6cd907b: Pull complete 2025-09-07T08:14:49.2550293Z 64a544aba233: Pull complete 2025-09-07T08:14:52.1872115Z 7e35418a2499: Pull complete 2025-09-07T08:14:56.4550252Z 2ed8e82748d4: Pull complete 2025-09-07T08:15:00.7832753Z c988fbcccd70: Pull complete 2025-09-07T08:15:04.2256569Z Digest: sha256:f30843ff9ea9e117a2c8e6d207e85c9e77dfe682f1dfcdfea5b94178d1bf00b3 2025-09-07T08:15:05.1088109Z 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 2025-09-07T08:15:05.3342054Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:15:05.3969174Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:15:05.3969976Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:15:05.3985785Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:15:05.3986071Z env: 2025-09-07T08:15:05.3986234Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:15:05.3986432Z ##[endgroup] 2025-09-07T08:15:05.5986904Z ##[group]Run echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T08:15:05.5987859Z echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T08:15:05.6004138Z shell: /usr/bin/bash -e {0} 2025-09-07T08:15:05.6004371Z env: 2025-09-07T08:15:05.6004540Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:15:05.6004740Z ##[endgroup] 2025-09-07T08:15:05.8873782Z ##[group]Run echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T08:15:05.8874552Z echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T08:15:05.8889351Z shell: /usr/bin/bash -e {0} 2025-09-07T08:15:05.8889590Z env: 2025-09-07T08:15:05.8889756Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:15:05.8890010Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:15:05.8890282Z ##[endgroup] 2025-09-07T08:15:05.9665534Z Prepare all required actions 2025-09-07T08:15:06.1700837Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T08:15:06.1701114Z with: 2025-09-07T08:15:06.1701530Z github-token: *** 2025-09-07T08:15:06.1701729Z env: 2025-09-07T08:15:06.1701892Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:15:06.1702150Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:15:06.1702503Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:15:06.1702797Z ##[endgroup] 2025-09-07T08:15:06.4757480Z ##[group]Run set -eux 2025-09-07T08:15:06.4757759Z set -eux 2025-09-07T08:15:06.4758153Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T08:15:06.4773926Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:15:06.4774217Z env: 2025-09-07T08:15:06.4774384Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:15:06.4774649Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:15:06.4775107Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:15:06.4775548Z GITHUB_TOKEN: *** 2025-09-07T08:15:06.4775743Z ##[endgroup] 2025-09-07T08:15:06.6158650Z + python3 .github/scripts/get_workflow_job_id.py 17525296438 i-0d3ed1ff3ccbeec77-1002 2025-09-07T08:15:07.2438703Z Setting output job-id=49775781828 2025-09-07T08:15:07.2439352Z Setting output job-name=test-weekly / test (inductor_huggingface_perf_cuda_h100, 4, 5, linux.aws.h100) 2025-09-07T08:15:07.2963767Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T08:15:07.2964378Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T08:15:07.2965109Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T08:15:07.2965749Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T08:15:07.2980847Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:15:07.2981139Z env: 2025-09-07T08:15:07.2981308Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:15:07.2981575Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:15:07.2981903Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:15:07.2982181Z JOB_ID: 49775781828 2025-09-07T08:15:07.2982525Z JOB_NAME: test-weekly / test (inductor_huggingface_perf_cuda_h100, 4, 5, linux.aws.h100) 2025-09-07T08:15:07.2982907Z WORKFLOW_NAME: inductor-perf-nightly-h100 2025-09-07T08:15:07.2983151Z WORKFLOW_RUN_ID: 17525296438 2025-09-07T08:15:07.2983358Z MONITOR_LOG_INTERVAL: 15 2025-09-07T08:15:07.2983558Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T08:15:07.2983768Z ##[endgroup] 2025-09-07T08:15:07.6051977Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:15:08.3762088Z Collecting psutil==5.9.8 2025-09-07T08:15:08.4117137Z 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) 2025-09-07T08:15:09.0046825Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.2/288.2 KB 470.8 kB/s eta 0:00:00 2025-09-07T08:15:09.6398812Z Collecting dataclasses_json==0.6.7 2025-09-07T08:15:09.6427904Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T08:15:10.6802680Z Collecting nvidia-ml-py==11.525.84 2025-09-07T08:15:10.6831531Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T08:15:11.7837203Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T08:15:11.7864646Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T08:15:12.3021912Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.9/50.9 KB 79.1 kB/s eta 0:00:00 2025-09-07T08:15:12.6020399Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T08:15:12.6048876Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T08:15:13.5029296Z Collecting packaging>=17.0 2025-09-07T08:15:13.5056612Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T08:15:13.5519714Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.5/66.5 KB 1.3 MB/s eta 0:00:00 2025-09-07T08:15:13.9324150Z Collecting typing-extensions>=3.7.4 2025-09-07T08:15:13.9362067Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T08:15:14.5502663Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 44.6/44.6 KB 56.2 kB/s eta 0:00:00 2025-09-07T08:15:14.9474513Z Collecting mypy-extensions>=0.3.0 2025-09-07T08:15:14.9502243Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T08:15:15.6065716Z Installing collected packages: nvidia-ml-py, typing-extensions, psutil, packaging, mypy-extensions, typing-inspect, marshmallow, dataclasses_json 2025-09-07T08:15:22.0029062Z 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 2025-09-07T08:15:22.0621232Z Prepare all required actions 2025-09-07T08:15:22.0621597Z Getting action download info 2025-09-07T08:15:22.1953599Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T08:15:23.2304800Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T08:15:26.3689762Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T08:15:26.3690038Z with: 2025-09-07T08:15:26.3690240Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T08:15:26.3690487Z s3-bucket: gha-artifacts 2025-09-07T08:15:26.3690679Z env: 2025-09-07T08:15:26.3690842Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:15:26.3691081Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:15:26.3691418Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:15:26.3691695Z ##[endgroup] 2025-09-07T08:15:26.5536912Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T08:15:26.5537187Z with: 2025-09-07T08:15:26.5537559Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T08:15:26.5537816Z s3-bucket: gha-artifacts 2025-09-07T08:15:26.5538026Z region: us-east-1 2025-09-07T08:15:26.5538218Z env: 2025-09-07T08:15:26.5538386Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:15:26.5538647Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:15:26.5538985Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:15:26.5539289Z ##[endgroup] 2025-09-07T08:15:26.9511472Z (node:8548) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T08:15:26.9511916Z 2025-09-07T08:15:26.9512082Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T08:15:26.9512577Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T08:15:26.9513092Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T08:15:27.0345158Z Found 1 objects with prefix pytorch/pytorch/17525296438/linux-jammy-cuda12.8-py3.10-gcc9-sm90/ 2025-09-07T08:15:27.0345984Z Starting download (1/1): /home/bob/_work/pytorch/pytorch/artifacts.zip 2025-09-07T08:15:36.8944629Z Finished download (1/1): /home/bob/_work/pytorch/pytorch/artifacts.zip 2025-09-07T08:15:36.8952355Z Artifact download has finished successfully 2025-09-07T08:15:37.4436086Z ##[group]Run unzip -o artifacts.zip 2025-09-07T08:15:37.4436389Z unzip -o artifacts.zip 2025-09-07T08:15:37.4452118Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:15:37.4452428Z env: 2025-09-07T08:15:37.4452600Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:15:37.4452856Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:15:37.4453185Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:15:37.4453468Z ##[endgroup] 2025-09-07T08:15:37.5079394Z Archive: artifacts.zip 2025-09-07T08:15:37.5081087Z creating: dist/ 2025-09-07T08:15:39.2242261Z inflating: dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T08:15:39.2243978Z creating: dist/vision/ 2025-09-07T08:15:39.2351857Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:15:39.2353236Z creating: dist/audio/ 2025-09-07T08:15:39.2408526Z inflating: dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T08:15:39.2409265Z creating: dist/torchrec/ 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build/bin/ProcessGroupGlooAsyncTest 2025-09-07T08:15:48.6069883Z inflating: build/bin/ProcessGroupNCCLErrorsTest 2025-09-07T08:15:48.7068103Z inflating: build/bin/test_jit 2025-09-07T08:15:48.7387186Z inflating: build/bin/test_lazy 2025-09-07T08:15:48.7390873Z inflating: build/bin/torch_shm_manager 2025-09-07T08:15:48.7392804Z creating: .additional_ci_files/ 2025-09-07T08:15:48.7473240Z inflating: .additional_ci_files/test-times.json 2025-09-07T08:15:48.7777963Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T08:15:48.8550729Z ##[group]Run rm artifacts.zip 2025-09-07T08:15:48.8551025Z rm artifacts.zip 2025-09-07T08:15:48.8566526Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:15:48.8566823Z env: 2025-09-07T08:15:48.8567008Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:15:48.8567414Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:15:48.8567778Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:15:48.8568069Z ##[endgroup] 2025-09-07T08:15:50.1633459Z ##[group]Run df -H 2025-09-07T08:15:50.1633673Z df -H 2025-09-07T08:15:50.1649163Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:15:50.1649465Z env: 2025-09-07T08:15:50.1649638Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:15:50.1649892Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:15:50.1650226Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:15:50.1650500Z ##[endgroup] 2025-09-07T08:15:50.3756844Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T08:15:50.3757671Z overlay 7.3T 726G 6.6T 10% / 2025-09-07T08:15:50.3758009Z tmpfs 68M 0 68M 0% /dev 2025-09-07T08:15:50.3758312Z shm 68M 0 68M 0% /dev/shm 2025-09-07T08:15:50.3758639Z /dev/root 7.3T 726G 6.6T 10% /home/bob/_work 2025-09-07T08:15:50.3759075Z tmpfs 215G 111k 215G 1% /run/docker.sock 2025-09-07T08:15:50.3759510Z tmpfs 1.1T 13k 1.1T 1% /proc/driver/nvidia 2025-09-07T08:15:50.3759950Z tmpfs 430G 2.9M 430G 1% /run/.ro833018415/nvidia-persistenced/socket 2025-09-07T08:15:50.3760874Z tmpfs 1.1T 0 1.1T 0% /proc/acpi 2025-09-07T08:15:50.3761181Z tmpfs 1.1T 0 1.1T 0% /proc/scsi 2025-09-07T08:15:50.3761510Z tmpfs 1.1T 0 1.1T 0% /sys/firmware 2025-09-07T08:15:50.3790036Z Prepare all required actions 2025-09-07T08:15:50.3790896Z Getting action download info 2025-09-07T08:15:50.6054745Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T08:15:50.6055109Z with: 2025-09-07T08:15:50.6055268Z env: 2025-09-07T08:15:50.6055432Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:15:50.6055687Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:15:50.6056034Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:15:50.6056328Z ##[endgroup] 2025-09-07T08:15:50.8366271Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T08:15:50.8366543Z with: 2025-09-07T08:15:50.8366711Z name: td_results 2025-09-07T08:15:50.8366901Z s3-bucket: gha-artifacts 2025-09-07T08:15:50.8367110Z region: us-east-1 2025-09-07T08:15:50.8367478Z env: 2025-09-07T08:15:50.8367666Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:15:50.8367931Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:15:50.8368442Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:15:50.8368737Z ##[endgroup] 2025-09-07T08:15:51.2377203Z (node:8569) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T08:15:51.2377875Z 2025-09-07T08:15:51.2378058Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T08:15:51.2378599Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T08:15:51.2379169Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T08:15:51.3143652Z Found 0 objects with prefix pytorch/pytorch/17525296438/td_results/ 2025-09-07T08:15:51.3149912Z Artifact download has finished successfully 2025-09-07T08:15:51.4909797Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T08:15:51.4910142Z mkdir -p .additional_ci_files 2025-09-07T08:15:51.4910531Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T08:15:51.4926096Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:15:51.4926386Z env: 2025-09-07T08:15:51.4926555Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:15:51.4926814Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:15:51.4927146Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:15:51.4927575Z ##[endgroup] 2025-09-07T08:15:51.7185281Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T08:15:51.9389073Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T08:15:51.9389411Z .github/scripts/parse_ref.py 2025-09-07T08:15:51.9403885Z shell: /usr/bin/bash -e {0} 2025-09-07T08:15:51.9404100Z env: 2025-09-07T08:15:51.9404260Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:15:51.9404560Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:15:51.9404921Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:15:51.9405209Z ##[endgroup] 2025-09-07T08:15:52.1762697Z Setting output branch=main 2025-09-07T08:15:52.1872627Z Prepare all required actions 2025-09-07T08:15:52.1872971Z Getting action download info 2025-09-07T08:15:52.6392137Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T08:15:52.6392517Z with: 2025-09-07T08:15:52.6392888Z github-token: *** 2025-09-07T08:15:52.6398727Z 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"}]} 2025-09-07T08:15:52.6404758Z job-name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 4, 5, linux.aws.h100) 2025-09-07T08:15:52.6405122Z env: 2025-09-07T08:15:52.6405286Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:15:52.6405552Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:15:52.6405881Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:15:52.6406160Z ##[endgroup] 2025-09-07T08:15:52.8514516Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T08:15:52.8514763Z with: 2025-09-07T08:15:52.8514916Z shell: bash 2025-09-07T08:15:52.8515086Z timeout_minutes: 10 2025-09-07T08:15:52.8515284Z max_attempts: 5 2025-09-07T08:15:52.8515463Z retry_wait_seconds: 30 2025-09-07T08:15:52.8516057Z 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 2025-09-07T08:15:52.8516702Z polling_interval_seconds: 1 2025-09-07T08:15:52.8516917Z warning_on_retry: true 2025-09-07T08:15:52.8517111Z continue_on_error: false 2025-09-07T08:15:52.8517458Z env: 2025-09-07T08:15:52.8517624Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:15:52.8517876Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:15:52.8518221Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:15:52.8518685Z GITHUB_TOKEN: *** 2025-09-07T08:15:52.8518867Z ##[endgroup] 2025-09-07T08:15:52.9232376Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T08:15:53.1887890Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:15:53.7898791Z Collecting requests==2.27.1 2025-09-07T08:15:53.8389048Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T08:15:54.2578071Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.1/63.1 KB 127.1 kB/s eta 0:00:00 2025-09-07T08:15:54.9886548Z Collecting pyyaml==6.0.2 2025-09-07T08:15:54.9968421Z Downloading PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (751 kB) 2025-09-07T08:15:55.5538711Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 751.2/751.2 KB 1.3 MB/s eta 0:00:00 2025-09-07T08:15:55.5647628Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3/dist-packages (from requests==2.27.1) (1.26.5) 2025-09-07T08:15:56.3381899Z Collecting charset-normalizer~=2.0.0 2025-09-07T08:15:56.3461868Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T08:15:56.9186828Z Requirement already satisfied: certifi>=2017.4.17 in /usr/lib/python3/dist-packages (from requests==2.27.1) (2020.6.20) 2025-09-07T08:15:56.9197088Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3/dist-packages (from requests==2.27.1) (3.3) 2025-09-07T08:15:56.9880448Z Installing collected packages: pyyaml, charset-normalizer, requests 2025-09-07T08:15:57.9629204Z WARNING: The script normalizer is installed in '/home/bob/.local/bin' which is not on PATH. 2025-09-07T08:15:57.9629960Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T08:15:59.5578416Z Successfully installed charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T08:15:59.9258052Z Command completed after 1 attempt(s). 2025-09-07T08:15:59.9476623Z ##[group]Run set -x 2025-09-07T08:15:59.9476876Z set -x 2025-09-07T08:15:59.9477055Z  2025-09-07T08:15:59.9477562Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T08:15:59.9477963Z # in runner workspace 2025-09-07T08:15:59.9478278Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T08:15:59.9493731Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:15:59.9494024Z env: 2025-09-07T08:15:59.9494185Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:15:59.9494444Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:15:59.9494786Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:15:59.9495144Z ##[endgroup] 2025-09-07T08:15:59.9848499Z + python3 /home/bob/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T08:15:59.9991415Z Setting output branch=main 2025-09-07T08:16:00.1369428Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T08:16:00.1369802Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T08:16:00.1370051Z echo "Job name: ${JOB_NAME}" 2025-09-07T08:16:00.1370289Z  2025-09-07T08:16:00.1370589Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T08:16:00.1370958Z # in runner workspace 2025-09-07T08:16:00.1371284Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T08:16:00.1371650Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T08:16:00.1371902Z  --job-name "${JOB_NAME}" \ 2025-09-07T08:16:00.1377419Z  --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"}]}" \ 2025-09-07T08:16:00.1382665Z  --selected-test-configs "" \ 2025-09-07T08:16:00.1382910Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T08:16:00.1383147Z  --tag "${TAG}" \ 2025-09-07T08:16:00.1383363Z  --event-name "${EVENT_NAME}" \ 2025-09-07T08:16:00.1383600Z  --schedule "${SCHEDULE}" \ 2025-09-07T08:16:00.1383829Z  --branch "${HEAD_BRANCH}" 2025-09-07T08:16:00.1399153Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:16:00.1399445Z env: 2025-09-07T08:16:00.1399614Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:16:00.1399868Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:16:00.1400190Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:16:00.1400659Z GITHUB_TOKEN: *** 2025-09-07T08:16:00.1400983Z JOB_NAME: test-weekly / test (inductor_huggingface_perf_cuda_h100, 4, 5, linux.aws.h100) 2025-09-07T08:16:00.1401339Z PR_NUMBER: 2025-09-07T08:16:00.1401506Z TAG: 2025-09-07T08:16:00.1401653Z EVENT_NAME: schedule 2025-09-07T08:16:00.1401855Z SCHEDULE: 0 7 * * 0 2025-09-07T08:16:00.1402037Z HEAD_BRANCH: main 2025-09-07T08:16:00.1402210Z ##[endgroup] 2025-09-07T08:16:00.3483672Z Workflow: inductor-perf-nightly-h100 2025-09-07T08:16:00.3484104Z Job name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 4, 5, linux.aws.h100) 2025-09-07T08:16:00.4833373Z Setting output keep-going=True 2025-09-07T08:16:00.4833680Z Setting output ci-verbose-test-logs=False 2025-09-07T08:16:00.4833982Z Setting output ci-test-showlocals=False 2025-09-07T08:16:00.4834274Z Setting output ci-no-test-timeout=False 2025-09-07T08:16:00.4834545Z Setting output ci-no-td=False 2025-09-07T08:16:00.4834800Z Setting output ci-td-distributed=False 2025-09-07T08:16:00.4835119Z Setting output is-unstable=False 2025-09-07T08:16:00.4835440Z Setting output reenabled-issues= 2025-09-07T08:16:00.4842129Z 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"}]} 2025-09-07T08:16:00.4847990Z Setting output is-test-matrix-empty=False 2025-09-07T08:16:00.5770889Z ##[group]Run echo "Filtered matrix:" 2025-09-07T08:16:00.5771180Z echo "Filtered matrix:" 2025-09-07T08:16:00.5776615Z 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"}]}" 2025-09-07T08:16:00.5781704Z  2025-09-07T08:16:00.5781858Z echo 2025-09-07T08:16:00.5782059Z echo "Is the current job unstable? False" 2025-09-07T08:16:00.5782301Z  2025-09-07T08:16:00.5782442Z echo 2025-09-07T08:16:00.5782637Z echo "Is keep-going label set? True" 2025-09-07T08:16:00.5782862Z  2025-09-07T08:16:00.5783005Z echo 2025-09-07T08:16:00.5783170Z echo "Reenabled issues? " 2025-09-07T08:16:00.5798662Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:16:00.5798957Z env: 2025-09-07T08:16:00.5799123Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:16:00.5799621Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:16:00.5799955Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:16:00.5800251Z ##[endgroup] 2025-09-07T08:16:00.6057882Z Filtered matrix: 2025-09-07T08:16:00.6063610Z {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}]} 2025-09-07T08:16:00.6069563Z 2025-09-07T08:16:00.6069660Z Is the current job unstable? False 2025-09-07T08:16:00.6069848Z 2025-09-07T08:16:00.6069942Z Is keep-going label set? True 2025-09-07T08:16:00.6070111Z 2025-09-07T08:16:00.6070191Z Reenabled issues? 2025-09-07T08:16:00.8660147Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T08:16:00.8660579Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T08:16:00.8674668Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:16:00.8674951Z env: 2025-09-07T08:16:00.8675114Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:16:00.8675371Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:16:00.8675714Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:16:00.8676013Z JOB_TIMEOUT: 1440 2025-09-07T08:16:00.8676187Z ##[endgroup] 2025-09-07T08:16:01.1367865Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:16:01.1368306Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:16:01.1368647Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:16:01.1382992Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:16:01.1383284Z env: 2025-09-07T08:16:01.1383449Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:16:01.1383696Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:16:01.1384023Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:16:01.1384302Z ##[endgroup] 2025-09-07T08:16:01.4878439Z ##[group]Run set -x 2025-09-07T08:16:01.4878803Z set -x 2025-09-07T08:16:01.4878993Z  2025-09-07T08:16:01.4879199Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T08:16:01.4879775Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T08:16:01.4880109Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T08:16:01.4880401Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T08:16:01.4880648Z else 2025-09-07T08:16:01.4880846Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T08:16:01.4881097Z fi 2025-09-07T08:16:01.4881287Z  2025-09-07T08:16:01.4881523Z # Leaving 1GB for the runner and other things 2025-09-07T08:16:01.4882010Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T08:16:01.4882745Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T08:16:01.4883321Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T08:16:01.4883750Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T08:16:01.4884095Z  2025-09-07T08:16:01.4884311Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T08:16:01.4884595Z  SHM_OPTS= 2025-09-07T08:16:01.4884793Z  JENKINS_USER= 2025-09-07T08:16:01.4885071Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T08:16:01.4885468Z  # if for some reason cleanup action doesn't stop container 2025-09-07T08:16:01.4885792Z  # when job is cancelled 2025-09-07T08:16:01.4886033Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T08:16:01.4886252Z else 2025-09-07T08:16:01.4886440Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T08:16:01.4886700Z  JENKINS_USER="--user jenkins" 2025-09-07T08:16:01.4886928Z  DOCKER_SHELL_CMD= 2025-09-07T08:16:01.4887111Z fi 2025-09-07T08:16:01.4887413Z  2025-09-07T08:16:01.4887682Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T08:16:01.4888077Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T08:16:01.4888509Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T08:16:01.4888899Z # shellcheck disable=SC2086,SC2090 2025-09-07T08:16:01.4889143Z container_name=$(docker run \ 2025-09-07T08:16:01.4889376Z  ${GPU_FLAG:-} \ 2025-09-07T08:16:01.4889599Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T08:16:01.4889848Z  -e BUILD_ENVIRONMENT \ 2025-09-07T08:16:01.4890065Z  -e PR_NUMBER \ 2025-09-07T08:16:01.4890263Z  -e GITHUB_ACTIONS \ 2025-09-07T08:16:01.4890472Z  -e GITHUB_REPOSITORY \ 2025-09-07T08:16:01.4890688Z  -e GITHUB_WORKFLOW \ 2025-09-07T08:16:01.4890893Z  -e GITHUB_JOB \ 2025-09-07T08:16:01.4891102Z  -e GITHUB_RUN_ID \ 2025-09-07T08:16:01.4891305Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T08:16:01.4891515Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T08:16:01.4891728Z  -e JOB_ID \ 2025-09-07T08:16:01.4891915Z  -e JOB_NAME \ 2025-09-07T08:16:01.4892104Z  -e BASE_SHA \ 2025-09-07T08:16:01.4892284Z  -e BRANCH \ 2025-09-07T08:16:01.4892465Z  -e SHA1 \ 2025-09-07T08:16:01.4892652Z  -e AWS_DEFAULT_REGION \ 2025-09-07T08:16:01.4892865Z  -e IN_WHEEL_TEST \ 2025-09-07T08:16:01.4893060Z  -e SHARD_NUMBER \ 2025-09-07T08:16:01.4893261Z  -e TEST_CONFIG \ 2025-09-07T08:16:01.4893461Z  -e NUM_TEST_SHARDS \ 2025-09-07T08:16:01.4893687Z  -e REENABLED_ISSUES \ 2025-09-07T08:16:01.4893905Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T08:16:01.4894337Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T08:16:01.4894582Z  -e TEST_SHOWLOCALS \ 2025-09-07T08:16:01.4894799Z  -e NO_TEST_TIMEOUT \ 2025-09-07T08:16:01.4895064Z  -e NO_TD \ 2025-09-07T08:16:01.4895396Z  -e TD_DISTRIBUTED \ 2025-09-07T08:16:01.4895616Z  -e PR_LABELS \ 2025-09-07T08:16:01.4895837Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T08:16:01.4896079Z  -e SCCACHE_BUCKET \ 2025-09-07T08:16:01.4896287Z  -e SCCACHE_REGION \ 2025-09-07T08:16:01.4896484Z  -e XLA_CUDA \ 2025-09-07T08:16:01.4896703Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T08:16:01.4896977Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T08:16:01.4897242Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T08:16:01.4897644Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T08:16:01.4897902Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T08:16:01.4898151Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T08:16:01.4898397Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T08:16:01.4898627Z  -e DASHBOARD_TAG \ 2025-09-07T08:16:01.4898836Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T08:16:01.4899103Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T08:16:01.4899395Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T08:16:01.4899707Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T08:16:01.4899996Z  --security-opt seccomp=unconfined \ 2025-09-07T08:16:01.4900244Z  --cap-add=SYS_PTRACE \ 2025-09-07T08:16:01.4900460Z  --ipc=host \ 2025-09-07T08:16:01.4900641Z  ${SHM_OPTS} \ 2025-09-07T08:16:01.4900823Z  --tty \ 2025-09-07T08:16:01.4900995Z  --detach \ 2025-09-07T08:16:01.4901191Z  --name="${container_name}" \ 2025-09-07T08:16:01.4901413Z  ${JENKINS_USER} \ 2025-09-07T08:16:01.4901670Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T08:16:01.4901961Z  -w /var/lib/jenkins/workspace \ 2025-09-07T08:16:01.4902189Z  "${DOCKER_IMAGE}" \ 2025-09-07T08:16:01.4902395Z  ${DOCKER_SHELL_CMD} 2025-09-07T08:16:01.4902592Z ) 2025-09-07T08:16:01.4902806Z # Propagate download.pytorch.org IP to container 2025-09-07T08:16:01.4903285Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T08:16:01.4903788Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T08:16:01.4904077Z  2025-09-07T08:16:01.4904281Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T08:16:01.4904699Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T08:16:01.4905070Z fi 2025-09-07T08:16:01.4905216Z  2025-09-07T08:16:01.4905568Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T08:16:01.4920605Z shell: /usr/bin/bash -e {0} 2025-09-07T08:16:01.4920819Z env: 2025-09-07T08:16:01.4920994Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:16:01.4921245Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:16:01.4921602Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T08:16:01.4921962Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T08:16:01.4922244Z PR_NUMBER: 2025-09-07T08:16:01.4922427Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T08:16:01.4922684Z GITHUB_WORKFLOW: inductor-perf-nightly-h100 2025-09-07T08:16:01.4922931Z GITHUB_JOB: test 2025-09-07T08:16:01.4923111Z GITHUB_RUN_ID: 17525296438 2025-09-07T08:16:01.4923304Z GITHUB_RUN_NUMBER: 662 2025-09-07T08:16:01.4923493Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T08:16:01.4923677Z JOB_ID: 49775781828 2025-09-07T08:16:01.4924157Z JOB_NAME: test-weekly / test (inductor_huggingface_perf_cuda_h100, 4, 5, linux.aws.h100) 2025-09-07T08:16:01.4924519Z BRANCH: main 2025-09-07T08:16:01.4924704Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:16:01.4925096Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:16:01.4925369Z TEST_CONFIG: inductor_huggingface_perf_cuda_h100 2025-09-07T08:16:01.4925627Z SHARD_NUMBER: 4 2025-09-07T08:16:01.4925788Z NUM_TEST_SHARDS: 5 2025-09-07T08:16:01.4925961Z REENABLED_ISSUES: 2025-09-07T08:16:01.4926142Z CONTINUE_THROUGH_ERROR: True 2025-09-07T08:16:01.4926346Z VERBOSE_TEST_LOGS: False 2025-09-07T08:16:01.4926544Z TEST_SHOWLOCALS: False 2025-09-07T08:16:01.4926735Z NO_TEST_TIMEOUT: False 2025-09-07T08:16:01.4926909Z NO_TD: False 2025-09-07T08:16:01.4927074Z TD_DISTRIBUTED: False 2025-09-07T08:16:01.4927438Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T08:16:01.4927724Z SCCACHE_REGION: us-east-1 2025-09-07T08:16:01.4927924Z SHM_SIZE: 2g 2025-09-07T08:16:01.4928590Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:16:01.4929276Z XLA_CUDA: 2025-09-07T08:16:01.4929543Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:16:01.4929869Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T08:16:01.4930111Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T08:16:01.4931018Z 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 2025-09-07T08:16:01.4932075Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T08:16:01.4932391Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T08:16:01.4932706Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T08:16:01.4933089Z ARTIFACTS_FILE_SUFFIX: test-inductor_huggingface_perf_cuda_h100-4-5-linux.aws.h100_49775781828 2025-09-07T08:16:01.4933477Z ##[endgroup] 2025-09-07T08:16:01.5230260Z + [[ inductor_huggingface_perf_cuda_h100 == \m\u\l\t\i\g\p\u ]] 2025-09-07T08:16:01.5230680Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *onnx* ]] 2025-09-07T08:16:01.5231032Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T08:16:01.5233315Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T08:16:01.5242958Z + TOTAL_AVAILABLE_MEMORY_IN_GB='1998.949 ' 2025-09-07T08:16:01.5243242Z + TOTAL_MEMORY_WITH_SWAP=2001 2025-09-07T08:16:01.5243540Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *\s\3\9\0\x* ]] 2025-09-07T08:16:01.5243860Z + SHM_OPTS=--shm-size=2g 2025-09-07T08:16:01.5244084Z + JENKINS_USER='--user jenkins' 2025-09-07T08:16:01.5244300Z + DOCKER_SHELL_CMD= 2025-09-07T08:16:01.5251319Z +++ nproc --ignore=2 2025-09-07T08:16:01.5265552Z ++ 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 2025-09-07T08:28:54.0561607Z + container_name=3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T08:28:54.0564735Z + grep download.pytorch.org /etc/hosts 2025-09-07T08:28:54.0566269Z + docker exec -i 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T08:28:54.1175821Z + echo DOCKER_CONTAINER_ID=3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T08:28:54.1177962Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *\s\3\9\0\x* ]] 2025-09-07T08:28:54.1181681Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T08:28:54.1184419Z + docker exec -t 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T08:28:54.5110281Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T08:28:54.8064323Z 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) 2025-09-07T08:28:54.8067992Z 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) 2025-09-07T08:28:54.8071281Z 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) 2025-09-07T08:28:54.8075077Z 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) 2025-09-07T08:28:54.8077803Z 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) 2025-09-07T08:28:54.8081810Z 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) 2025-09-07T08:28:54.8093415Z 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) 2025-09-07T08:28:54.8420222Z 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) 2025-09-07T08:28:54.8437486Z 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) 2025-09-07T08:28:54.8468886Z 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) 2025-09-07T08:28:55.6378830Z Installing collected packages: torch 2025-09-07T08:29:05.1304350Z 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. 2025-09-07T08:29:05.1305588Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T08:29:05.1306131Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T08:29:05.1306745Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-09-07T08:29:05.1307974Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T08:29:05.1308913Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T08:29:05.1309846Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T08:29:05.1311018Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T08:29:05.2130912Z + export TERM=vt100 2025-09-07T08:29:05.2131213Z + TERM=vt100 2025-09-07T08:29:05.2133813Z ++ dirname .ci/pytorch/test.sh 2025-09-07T08:29:05.2145679Z + source .ci/pytorch/common.sh 2025-09-07T08:29:05.2149437Z +++ dirname .ci/pytorch/common.sh 2025-09-07T08:29:05.2157757Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T08:29:05.2159199Z +++ declare -f -t trap_add 2025-09-07T08:29:05.2162442Z ++ set -ex -o pipefail 2025-09-07T08:29:05.2162901Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T08:29:05.2163236Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T08:29:05.2166660Z ++ dirname .ci/pytorch/test.sh 2025-09-07T08:29:05.2175551Z + source .ci/pytorch/common-build.sh 2025-09-07T08:29:05.2177428Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *win-* ]] 2025-09-07T08:29:05.2184405Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T08:29:05.2193010Z +++ cd .ci/pytorch 2025-09-07T08:29:05.2193264Z +++ pwd -P 2025-09-07T08:29:05.2195628Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T08:29:05.2196023Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-pch* ]] 2025-09-07T08:29:05.2196343Z ++ which sccache 2025-09-07T08:29:05.2210749Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T08:29:05.2211039Z ++ sccache --stop-server 2025-09-07T08:29:05.2237461Z ++ true 2025-09-07T08:29:05.2237685Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T08:29:05.2248968Z ++ trap_add sccache_epilogue EXIT 2025-09-07T08:29:05.2249270Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T08:29:05.2249493Z ++ shift 2025-09-07T08:29:05.2255012Z ++ for trap_add_name in "$@" 2025-09-07T08:29:05.2255235Z ++++ trap -p EXIT 2025-09-07T08:29:05.2257799Z +++ eval 'extract_trap_cmd ' 2025-09-07T08:29:05.2258029Z ++++ extract_trap_cmd 2025-09-07T08:29:05.2258221Z ++++ printf '%s\n' '' 2025-09-07T08:29:05.2258438Z +++ printf '%s\n' sccache_epilogue 2025-09-07T08:29:05.2260411Z ++ trap -- ' 2025-09-07T08:29:05.2260626Z sccache_epilogue' EXIT 2025-09-07T08:29:05.2260842Z ++ [[ -n 1 ]] 2025-09-07T08:29:05.2261179Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T08:29:05.2261697Z Skipping sccache server initialization, setting environment variables 2025-09-07T08:29:05.2262096Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:29:05.2262350Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:29:05.2262649Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:29:05.2263042Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:29:05.2263400Z ++ export RUST_LOG=sccache::server=error 2025-09-07T08:29:05.2263682Z ++ RUST_LOG=sccache::server=error 2025-09-07T08:29:05.2263928Z ++ sccache --zero-stats 2025-09-07T08:29:05.3271978Z Statistics zeroed. 2025-09-07T08:29:05.3278476Z ++ which ccache 2025-09-07T08:29:05.3292841Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *rocm* ]] 2025-09-07T08:29:05.3293216Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *s390x* ]] 2025-09-07T08:29:05.3293569Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T08:29:05.3296134Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T08:29:05.3308446Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T08:29:05.3308798Z + trap_add cleanup_workspace EXIT 2025-09-07T08:29:05.3309090Z + trap_add_cmd=cleanup_workspace 2025-09-07T08:29:05.3309337Z + shift 2025-09-07T08:29:05.3309535Z + for trap_add_name in "$@" 2025-09-07T08:29:05.3316025Z +++ trap -p EXIT 2025-09-07T08:29:05.3318729Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T08:29:05.3319071Z sccache_epilogue'\'' EXIT' 2025-09-07T08:29:05.3319315Z +++ extract_trap_cmd trap -- ' 2025-09-07T08:29:05.3319551Z sccache_epilogue' EXIT 2025-09-07T08:29:05.3319757Z +++ printf '%s\n' ' 2025-09-07T08:29:05.3319950Z sccache_epilogue' 2025-09-07T08:29:05.3320152Z ++ printf '%s\n' cleanup_workspace 2025-09-07T08:29:05.3320974Z + trap -- ' 2025-09-07T08:29:05.3321150Z sccache_epilogue 2025-09-07T08:29:05.3321343Z cleanup_workspace' EXIT 2025-09-07T08:29:05.3321982Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T08:29:11.5936806Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T08:29:11.8725652Z + echo 'Environment variables:' 2025-09-07T08:29:11.8726184Z Environment variables: 2025-09-07T08:29:11.8726398Z + env 2025-09-07T08:29:11.8738693Z GITHUB_WORKSPACE=/home/bob/_work/pytorch/pytorch 2025-09-07T08:29:11.8739246Z CONTINUE_THROUGH_ERROR=True 2025-09-07T08:29:11.8739677Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T08:29:11.8745145Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T08:29:11.8745446Z HOSTNAME=3827576a10a0 2025-09-07T08:29:11.8745874Z GITHUB_PATH=/home/bob/_work/_temp/_runner_file_commands/add_path_9e46be57-bb1e-4585-977f-b90c466dd307 2025-09-07T08:29:11.8746347Z GITHUB_ACTION=__run_2 2025-09-07T08:29:11.8746585Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T08:29:11.8746847Z GITHUB_RUN_NUMBER=662 2025-09-07T08:29:11.8747103Z TEST_CONFIG=inductor_huggingface_perf_cuda_h100 2025-09-07T08:29:11.8747860Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T08:29:11.8748157Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T08:29:11.8748444Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:29:11.8748803Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T08:29:11.8749079Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T08:29:11.8749358Z GITHUB_REF_TYPE=branch 2025-09-07T08:29:11.8749614Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:29:11.8749901Z XLA_CUDA= 2025-09-07T08:29:11.8750090Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T08:29:11.8750438Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T08:29:11.8750816Z *** 2025-09-07T08:29:11.8751008Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T08:29:11.8751259Z GITHUB_ACTIONS=true 2025-09-07T08:29:11.8751476Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:29:11.8751732Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:29:11.8752037Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:29:11.8752321Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:29:11.8752791Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-h100.yml@refs/heads/main 2025-09-07T08:29:11.8753231Z UCC_HOME=/usr 2025-09-07T08:29:11.8753404Z VERBOSE_TEST_LOGS=False 2025-09-07T08:29:11.8753605Z GITHUB_REF=refs/heads/main 2025-09-07T08:29:11.8753788Z SHARD_NUMBER=4 2025-09-07T08:29:11.8753958Z GITHUB_REF_PROTECTED=true 2025-09-07T08:29:11.8754149Z HOME=/var/lib/jenkins 2025-09-07T08:29:11.8754330Z SCCACHE_SERVER_PORT=5228 2025-09-07T08:29:11.8754541Z GITHUB_API_URL=https://api.github.com 2025-09-07T08:29:11.8754790Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T08:29:11.8755039Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T08:29:11.8755285Z USE_SYSTEM_NCCL=1 2025-09-07T08:29:11.8755446Z NUM_TEST_SHARDS=5 2025-09-07T08:29:11.8755606Z UCX_HOME=/usr 2025-09-07T08:29:11.8755945Z GITHUB_STATE=/home/bob/_work/_temp/_runner_file_commands/save_state_9e46be57-bb1e-4585-977f-b90c466dd307 2025-09-07T08:29:11.8756476Z JOB_NAME=test-weekly / test (inductor_huggingface_perf_cuda_h100, 4, 5, linux.aws.h100) 2025-09-07T08:29:11.8756988Z GITHUB_ENV=/home/bob/_work/_temp/_runner_file_commands/set_env_9e46be57-bb1e-4585-977f-b90c466dd307 2025-09-07T08:29:11.8757600Z GITHUB_EVENT_PATH=/home/bob/_work/_temp/_github_workflow/event.json 2025-09-07T08:29:11.8757906Z GITHUB_EVENT_NAME=schedule 2025-09-07T08:29:11.8758803Z 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 2025-09-07T08:29:11.8759710Z GITHUB_RUN_ID=17525296438 2025-09-07T08:29:11.8759893Z INSTALLED_OPENBLAS= 2025-09-07T08:29:11.8760270Z GITHUB_STEP_SUMMARY=/home/bob/_work/_temp/_runner_file_commands/step_summary_9e46be57-bb1e-4585-977f-b90c466dd307 2025-09-07T08:29:11.8760697Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T08:29:11.8760897Z PR_NUMBER= 2025-09-07T08:29:11.8761062Z DESIRED_CUDA=12.8.1 2025-09-07T08:29:11.8761529Z GITHUB_RUN_ATTEMPT=1 2025-09-07T08:29:11.8761749Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T08:29:11.8762004Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T08:29:11.8762248Z TERM=vt100 2025-09-07T08:29:11.8762407Z INSTALLED_VISION=yes 2025-09-07T08:29:11.8762752Z BRANCH=main 2025-09-07T08:29:11.8762918Z SCCACHE_REGION=us-east-1 2025-09-07T08:29:11.8763112Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T08:29:11.8763316Z CUDA_PATH=/usr/local/cuda 2025-09-07T08:29:11.8763666Z GITHUB_ACTION_PATH=/home/bob/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T08:29:11.8764017Z GITHUB_SERVER_URL=https://github.com 2025-09-07T08:29:11.8764276Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T08:29:11.8764525Z REENABLED_ISSUES= 2025-09-07T08:29:11.8764691Z DOCS= 2025-09-07T08:29:11.8764838Z SHLVL=1 2025-09-07T08:29:11.8764990Z MAX_JOBS=22 2025-09-07T08:29:11.8765154Z GITHUB_ACTOR_ID=97764156 2025-09-07T08:29:11.8765408Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:29:11.8765684Z GITHUB_REF_NAME=main 2025-09-07T08:29:11.8765953Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:29:11.8766256Z GITHUB_JOB=test 2025-09-07T08:29:11.8766427Z NO_TEST_TIMEOUT=False 2025-09-07T08:29:11.8766625Z TD_DISTRIBUTED=False 2025-09-07T08:29:11.8766815Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T08:29:11.8767037Z GITHUB_RETENTION_DAYS=90 2025-09-07T08:29:11.8767233Z OPENSSL_DIR=/opt/openssl 2025-09-07T08:29:11.8767569Z GITHUB_ACTION_REPOSITORY= 2025-09-07T08:29:11.8768127Z 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 2025-09-07T08:29:11.8768689Z GITHUB_BASE_REF= 2025-09-07T08:29:11.8768856Z INSTALLED_ACL= 2025-09-07T08:29:11.8769177Z ARTIFACTS_FILE_SUFFIX=test-inductor_huggingface_perf_cuda_h100-4-5-linux.aws.h100_49775781828 2025-09-07T08:29:11.8769540Z CI=true 2025-09-07T08:29:11.8769708Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T08:29:11.8769958Z RUST_LOG=sccache::server=error 2025-09-07T08:29:11.8770160Z JOB_ID=49775781828 2025-09-07T08:29:11.8770320Z GITHUB_HEAD_REF= 2025-09-07T08:29:11.8770489Z GITHUB_ACTION_REF= 2025-09-07T08:29:11.8770710Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T08:29:11.8770971Z TEST_SHOWLOCALS=False 2025-09-07T08:29:11.8771180Z GITHUB_WORKFLOW=inductor-perf-nightly-h100 2025-09-07T08:29:11.8771429Z DEBIAN_FRONTEND=noninteractive 2025-09-07T08:29:11.8771806Z GITHUB_OUTPUT=/home/bob/_work/_temp/_runner_file_commands/set_output_9e46be57-bb1e-4585-977f-b90c466dd307 2025-09-07T08:29:11.8772200Z NO_TD=False 2025-09-07T08:29:11.8772368Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T08:29:11.8772592Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T08:29:11.8772815Z _=/usr/bin/env 2025-09-07T08:29:11.8773049Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T08:29:11.9020083Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-09-07T08:29:11.9020655Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-09-07T08:29:11.9021206Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-09-07T08:29:11.9021778Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-09-07T08:29:11.9022195Z + BUILD_DIR=build 2025-09-07T08:29:11.9022423Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T08:29:11.9022700Z + BUILD_BIN_DIR=build/bin 2025-09-07T08:29:11.9022938Z + SHARD_NUMBER=4 2025-09-07T08:29:11.9023153Z + NUM_TEST_SHARDS=5 2025-09-07T08:29:11.9023386Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:29:11.9023684Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:29:11.9023945Z + export VALGRIND=ON 2025-09-07T08:29:11.9024168Z + VALGRIND=ON 2025-09-07T08:29:11.9024444Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *clang9* ]] 2025-09-07T08:29:11.9024838Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *xpu* ]] 2025-09-07T08:29:11.9025167Z + detect_cuda_arch 2025-09-07T08:29:11.9025698Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T08:29:11.9026058Z + command -v nvidia-smi 2025-09-07T08:29:11.9026298Z /usr/bin/nvidia-smi 2025-09-07T08:29:11.9029614Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-09-07T08:29:11.9031239Z ++ tail -n 1 2025-09-07T08:29:11.9251157Z + TORCH_CUDA_ARCH_LIST=9.0 2025-09-07T08:29:11.9251422Z + export TORCH_CUDA_ARCH_LIST 2025-09-07T08:29:11.9251728Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *s390x* ]] 2025-09-07T08:29:11.9252040Z + [[ 0 == \1 ]] 2025-09-07T08:29:11.9252231Z + [[ True == \1 ]] 2025-09-07T08:29:11.9252481Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *bazel* ]] 2025-09-07T08:29:11.9255863Z ++ realpath build/custom_test_artifacts 2025-09-07T08:29:11.9266846Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T08:29:11.9267424Z + [[ -n '' ]] 2025-09-07T08:29:11.9267625Z + echo 'Environment variables' 2025-09-07T08:29:11.9267870Z Environment variables 2025-09-07T08:29:11.9268081Z + env 2025-09-07T08:29:11.9276712Z GITHUB_WORKSPACE=/home/bob/_work/pytorch/pytorch 2025-09-07T08:29:11.9277070Z CONTINUE_THROUGH_ERROR=True 2025-09-07T08:29:11.9277540Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T08:29:11.9278175Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T08:29:11.9278543Z HOSTNAME=3827576a10a0 2025-09-07T08:29:11.9279049Z GITHUB_PATH=/home/bob/_work/_temp/_runner_file_commands/add_path_9e46be57-bb1e-4585-977f-b90c466dd307 2025-09-07T08:29:11.9279533Z GITHUB_ACTION=__run_2 2025-09-07T08:29:11.9279760Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T08:29:11.9280021Z GITHUB_RUN_NUMBER=662 2025-09-07T08:29:11.9280275Z TEST_CONFIG=inductor_huggingface_perf_cuda_h100 2025-09-07T08:29:11.9280579Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T08:29:11.9280860Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T08:29:11.9281139Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:29:11.9281486Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T08:29:11.9281759Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T08:29:11.9282027Z GITHUB_REF_TYPE=branch 2025-09-07T08:29:11.9282244Z TORCH_CUDA_ARCH_LIST=9.0 2025-09-07T08:29:11.9282511Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:29:11.9282799Z XLA_CUDA= 2025-09-07T08:29:11.9282988Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T08:29:11.9283337Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T08:29:11.9283862Z *** 2025-09-07T08:29:11.9284070Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T08:29:11.9284330Z GITHUB_ACTIONS=true 2025-09-07T08:29:11.9294978Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:29:11.9295279Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:29:11.9295586Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:29:11.9295862Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:29:11.9296336Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-h100.yml@refs/heads/main 2025-09-07T08:29:11.9296799Z UCC_HOME=/usr 2025-09-07T08:29:11.9297001Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:29:11.9297211Z VERBOSE_TEST_LOGS=False 2025-09-07T08:29:11.9297566Z GITHUB_REF=refs/heads/main 2025-09-07T08:29:11.9297769Z SHARD_NUMBER=4 2025-09-07T08:29:11.9297951Z GITHUB_REF_PROTECTED=true 2025-09-07T08:29:11.9298153Z HOME=/var/lib/jenkins 2025-09-07T08:29:11.9298330Z SCCACHE_SERVER_PORT=5228 2025-09-07T08:29:11.9298549Z GITHUB_API_URL=https://api.github.com 2025-09-07T08:29:11.9298813Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T08:29:11.9299072Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T08:29:11.9299306Z USE_SYSTEM_NCCL=1 2025-09-07T08:29:11.9299485Z NUM_TEST_SHARDS=5 2025-09-07T08:29:11.9299643Z UCX_HOME=/usr 2025-09-07T08:29:11.9299984Z GITHUB_STATE=/home/bob/_work/_temp/_runner_file_commands/save_state_9e46be57-bb1e-4585-977f-b90c466dd307 2025-09-07T08:29:11.9300497Z JOB_NAME=test-weekly / test (inductor_huggingface_perf_cuda_h100, 4, 5, linux.aws.h100) 2025-09-07T08:29:11.9301290Z GITHUB_ENV=/home/bob/_work/_temp/_runner_file_commands/set_env_9e46be57-bb1e-4585-977f-b90c466dd307 2025-09-07T08:29:11.9301768Z GITHUB_EVENT_PATH=/home/bob/_work/_temp/_github_workflow/event.json 2025-09-07T08:29:11.9302067Z GITHUB_EVENT_NAME=schedule 2025-09-07T08:29:11.9302937Z 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 2025-09-07T08:29:11.9303974Z GITHUB_RUN_ID=17525296438 2025-09-07T08:29:11.9304176Z INSTALLED_OPENBLAS= 2025-09-07T08:29:11.9304549Z GITHUB_STEP_SUMMARY=/home/bob/_work/_temp/_runner_file_commands/step_summary_9e46be57-bb1e-4585-977f-b90c466dd307 2025-09-07T08:29:11.9304972Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T08:29:11.9305178Z PR_NUMBER= 2025-09-07T08:29:11.9305333Z DESIRED_CUDA=12.8.1 2025-09-07T08:29:11.9305503Z GITHUB_RUN_ATTEMPT=1 2025-09-07T08:29:11.9305671Z VALGRIND=ON 2025-09-07T08:29:11.9305836Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T08:29:11.9306076Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T08:29:11.9306323Z TERM=vt100 2025-09-07T08:29:11.9306481Z INSTALLED_VISION=yes 2025-09-07T08:29:11.9306651Z BRANCH=main 2025-09-07T08:29:11.9306821Z SCCACHE_REGION=us-east-1 2025-09-07T08:29:11.9307027Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T08:29:11.9307228Z CUDA_PATH=/usr/local/cuda 2025-09-07T08:29:11.9307672Z GITHUB_ACTION_PATH=/home/bob/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T08:29:11.9308017Z GITHUB_SERVER_URL=https://github.com 2025-09-07T08:29:11.9308278Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T08:29:11.9308531Z REENABLED_ISSUES= 2025-09-07T08:29:11.9308695Z DOCS= 2025-09-07T08:29:11.9308831Z SHLVL=1 2025-09-07T08:29:11.9308975Z MAX_JOBS=22 2025-09-07T08:29:11.9309132Z GITHUB_ACTOR_ID=97764156 2025-09-07T08:29:11.9309380Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:29:11.9309648Z GITHUB_REF_NAME=main 2025-09-07T08:29:11.9309927Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:29:11.9310232Z GITHUB_JOB=test 2025-09-07T08:29:11.9310398Z NO_TEST_TIMEOUT=False 2025-09-07T08:29:11.9310571Z TD_DISTRIBUTED=False 2025-09-07T08:29:11.9310762Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T08:29:11.9310989Z GITHUB_RETENTION_DAYS=90 2025-09-07T08:29:11.9311180Z OPENSSL_DIR=/opt/openssl 2025-09-07T08:29:11.9311371Z GITHUB_ACTION_REPOSITORY= 2025-09-07T08:29:11.9311926Z 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 2025-09-07T08:29:11.9312494Z GITHUB_BASE_REF= 2025-09-07T08:29:11.9312671Z INSTALLED_ACL= 2025-09-07T08:29:11.9312992Z ARTIFACTS_FILE_SUFFIX=test-inductor_huggingface_perf_cuda_h100-4-5-linux.aws.h100_49775781828 2025-09-07T08:29:11.9313363Z CI=true 2025-09-07T08:29:11.9313525Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T08:29:11.9313774Z RUST_LOG=sccache::server=error 2025-09-07T08:29:11.9313967Z JOB_ID=49775781828 2025-09-07T08:29:11.9314147Z GITHUB_HEAD_REF= 2025-09-07T08:29:11.9314311Z GITHUB_ACTION_REF= 2025-09-07T08:29:11.9314523Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T08:29:11.9314776Z TEST_SHOWLOCALS=False 2025-09-07T08:29:11.9314993Z GITHUB_WORKFLOW=inductor-perf-nightly-h100 2025-09-07T08:29:11.9315237Z DEBIAN_FRONTEND=noninteractive 2025-09-07T08:29:11.9315629Z GITHUB_OUTPUT=/home/bob/_work/_temp/_runner_file_commands/set_output_9e46be57-bb1e-4585-977f-b90c466dd307 2025-09-07T08:29:11.9316014Z NO_TD=False 2025-09-07T08:29:11.9316185Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T08:29:11.9316408Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T08:29:11.9316632Z _=/usr/bin/env 2025-09-07T08:29:11.9316789Z + echo 'Testing pytorch' 2025-09-07T08:29:11.9316971Z Testing pytorch 2025-09-07T08:29:11.9317136Z + export LANG=C.UTF-8 2025-09-07T08:29:11.9317425Z + LANG=C.UTF-8 2025-09-07T08:29:11.9317575Z + PR_NUMBER= 2025-09-07T08:29:11.9317793Z + [[ inductor_huggingface_perf_cuda_h100 == \d\e\f\a\u\l\t ]] 2025-09-07T08:29:11.9318298Z + [[ inductor_huggingface_perf_cuda_h100 == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T08:29:11.9318653Z + [[ inductor_huggingface_perf_cuda_h100 == \s\l\o\w ]] 2025-09-07T08:29:11.9318977Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *slow-gradcheck* ]] 2025-09-07T08:29:11.9319520Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T08:29:11.9319802Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T08:29:11.9320055Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T08:29:11.9320315Z + [[ inductor_huggingface_perf_cuda_h100 == *crossref* ]] 2025-09-07T08:29:11.9320606Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T08:29:11.9320889Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *xpu* ]] 2025-09-07T08:29:11.9321192Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *-bazel-* ]] 2025-09-07T08:29:11.9321459Z + pip_install ninja==1.10.2 2025-09-07T08:29:11.9321715Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T08:29:11.9322047Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T08:29:12.8742259Z Collecting ninja==1.10.2 2025-09-07T08:29:12.8872463Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T08:29:12.9849688Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T08:29:13.8517743Z Installing collected packages: ninja 2025-09-07T08:29:13.8518301Z Attempting uninstall: ninja 2025-09-07T08:29:13.8526663Z Found existing installation: ninja 1.11.1.3 2025-09-07T08:29:13.8547984Z Uninstalling ninja-1.11.1.3: 2025-09-07T08:29:14.2285472Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T08:29:14.9688484Z Successfully installed ninja-1.10.2 2025-09-07T08:29:15.0403356Z + 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 2025-09-07T08:29:15.0404791Z + 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 2025-09-07T08:29:15.0405660Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *aarch64* ]] 2025-09-07T08:29:15.0406072Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *asan* ]] 2025-09-07T08:29:15.0406476Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-debug* ]] 2025-09-07T08:29:15.0406899Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *-bazel-* ]] 2025-09-07T08:29:15.0407844Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm90. Expect the assertion to pass' 2025-09-07T08:29:15.0408512Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm90. Expect the assertion to pass 2025-09-07T08:29:15.0408953Z + cd test 2025-09-07T08:29:15.0409308Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T08:29:15.5320280Z /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. 2025-09-07T08:29:15.5321772Z import pynvml # type: ignore[import] 2025-09-07T08:29:16.5395811Z + [[ inductor_huggingface_perf_cuda_h100 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T08:29:16.5396315Z + [[ inductor_huggingface_perf_cuda_h100 == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T08:29:16.5396791Z + [[ inductor_huggingface_perf_cuda_h100 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T08:29:16.5397225Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T08:29:16.5398288Z + [[ inductor_huggingface_perf_cuda_h100 == *pr_time_benchmarks* ]] 2025-09-07T08:29:16.5398680Z + [[ inductor_huggingface_perf_cuda_h100 == *dynamo_eager* ]] 2025-09-07T08:29:16.5399032Z + [[ inductor_huggingface_perf_cuda_h100 == *aot_eager* ]] 2025-09-07T08:29:16.5399954Z + [[ inductor_huggingface_perf_cuda_h100 == *aot_inductor* ]] 2025-09-07T08:29:16.5400368Z + [[ inductor_huggingface_perf_cuda_h100 == *max_autotune_inductor* ]] 2025-09-07T08:29:16.5400752Z + [[ inductor_huggingface_perf_cuda_h100 == *inductor* ]] 2025-09-07T08:29:16.5401285Z + [[ inductor_huggingface_perf_cuda_h100 != *perf* ]] 2025-09-07T08:29:16.5401614Z + [[ inductor_huggingface_perf_cuda_h100 == *dynamic* ]] 2025-09-07T08:29:16.5401928Z + [[ inductor_huggingface_perf_cuda_h100 == *cpu* ]] 2025-09-07T08:29:16.5402235Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-09-07T08:29:16.5416224Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *libtorch* ]] 2025-09-07T08:29:16.5416586Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-bazel-* ]] 2025-09-07T08:29:16.5420114Z + cd test 2025-09-07T08:29:16.5420896Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T08:29:17.0830118Z /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. 2025-09-07T08:29:17.0831328Z import pynvml # type: ignore[import] 2025-09-07T08:29:19.5882643Z PyTorch built with: 2025-09-07T08:29:19.5882930Z - GCC 9.5 2025-09-07T08:29:19.5883144Z - C++ Version: 201703 2025-09-07T08:29:19.5883667Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T08:29:19.5884334Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T08:29:19.5884733Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T08:29:19.5885050Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T08:29:19.5885363Z - NNPACK is enabled 2025-09-07T08:29:19.5885602Z - CPU capability usage: AVX2 2025-09-07T08:29:19.5885854Z - CUDA Runtime 12.8 2025-09-07T08:29:19.5886169Z - NVCC architecture flags: -gencode;arch=compute_90,code=sm_90 2025-09-07T08:29:19.5886567Z - CuDNN 90.8 2025-09-07T08:29:19.5891103Z - 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, 2025-09-07T08:29:19.5895198Z 2025-09-07T08:29:20.2511402Z + cd test 2025-09-07T08:29:20.2511792Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T08:29:20.7636360Z /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. 2025-09-07T08:29:20.7637967Z import pynvml # type: ignore[import] 2025-09-07T08:29:21.5082231Z ATen/Parallel: 2025-09-07T08:29:21.5082541Z at::get_num_threads() : 24 2025-09-07T08:29:21.5082843Z at::get_num_interop_threads() : 96 2025-09-07T08:29:21.5083135Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T08:29:21.5083848Z omp_get_max_threads() : 24 2025-09-07T08:29:21.5084433Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T08:29:21.5084944Z mkl_get_max_threads() : 24 2025-09-07T08:29:21.5085448Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T08:29:21.5085817Z std::thread::hardware_concurrency() : 192 2025-09-07T08:29:21.5086073Z Environment variables: 2025-09-07T08:29:21.5086283Z OMP_NUM_THREADS : [not set] 2025-09-07T08:29:21.5086504Z MKL_NUM_THREADS : [not set] 2025-09-07T08:29:21.5086726Z ATen parallel backend: OpenMP 2025-09-07T08:29:21.5086875Z 2025-09-07T08:29:21.7576919Z + [[ inductor_huggingface_perf_cuda_h100 == *numpy_2* ]] 2025-09-07T08:29:21.7577740Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *aarch64* ]] 2025-09-07T08:29:21.7578102Z + [[ inductor_huggingface_perf_cuda_h100 == *backward* ]] 2025-09-07T08:29:21.7578436Z + [[ inductor_huggingface_perf_cuda_h100 == *xla* ]] 2025-09-07T08:29:21.7578783Z + [[ inductor_huggingface_perf_cuda_h100 == *vllm* ]] 2025-09-07T08:29:21.7579122Z + [[ inductor_huggingface_perf_cuda_h100 == *executorch* ]] 2025-09-07T08:29:21.7579490Z + [[ inductor_huggingface_perf_cuda_h100 == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T08:29:21.7579884Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *libtorch* ]] 2025-09-07T08:29:21.7580236Z + [[ inductor_huggingface_perf_cuda_h100 == distributed ]] 2025-09-07T08:29:21.7580609Z + [[ inductor_huggingface_perf_cuda_h100 == *operator_benchmark* ]] 2025-09-07T08:29:21.7581022Z + [[ inductor_huggingface_perf_cuda_h100 == *inductor_distributed* ]] 2025-09-07T08:29:21.7581417Z + [[ inductor_huggingface_perf_cuda_h100 == *inductor-halide* ]] 2025-09-07T08:29:21.7581816Z + [[ inductor_huggingface_perf_cuda_h100 == *inductor-triton-cpu* ]] 2025-09-07T08:29:21.7582244Z + [[ inductor_huggingface_perf_cuda_h100 == *inductor-micro-benchmark* ]] 2025-09-07T08:29:21.7582649Z + [[ inductor_huggingface_perf_cuda_h100 == *huggingface* ]] 2025-09-07T08:29:21.7582953Z + install_torchvision 2025-09-07T08:29:21.7583179Z + local orig_preload 2025-09-07T08:29:21.7583372Z + local commit 2025-09-07T08:29:21.7583562Z ++ get_pinned_commit vision 2025-09-07T08:29:21.7583792Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T08:29:21.7598258Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T08:29:21.7598608Z + orig_preload= 2025-09-07T08:29:21.7598807Z + '[' -n '' ']' 2025-09-07T08:29:21.7599082Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T08:29:21.7599403Z + export FORCE_CUDA=1 2025-09-07T08:29:21.7599619Z + FORCE_CUDA=1 2025-09-07T08:29:21.7599810Z + export WITH_CUDA=1 2025-09-07T08:29:21.7600012Z + WITH_CUDA=1 2025-09-07T08:29:21.7600517Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T08:29:21.7601312Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T08:29:21.7601832Z + local wheel_dir=dist/vision 2025-09-07T08:29:21.7602086Z + local found_whl=0 2025-09-07T08:29:21.7602312Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:29:21.7602713Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T08:29:21.7603126Z + found_whl=1 2025-09-07T08:29:21.7603312Z + break 2025-09-07T08:29:21.7603481Z + '[' 1 == 0 ']' 2025-09-07T08:29:21.7603687Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:29:21.7604115Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:29:21.7604684Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl') 2025-09-07T08:29:21.7605056Z + local args 2025-09-07T08:29:21.7605373Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T08:29:21.7605781Z + for path in "${args[@]}" 2025-09-07T08:29:21.7606154Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl' 2025-09-07T08:29:21.7607230Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:29:21.7608106Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:29:22.1363399Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:29:22.1447031Z Installing collected packages: torchvision 2025-09-07T08:29:25.3612828Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T08:29:25.5809872Z + '[' -n '' ']' 2025-09-07T08:29:25.5810103Z + id=3 2025-09-07T08:29:25.5810330Z + test_dynamo_benchmark huggingface 3 2025-09-07T08:29:25.5816438Z ++ pwd 2025-09-07T08:29:25.5819545Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:29:25.5819875Z + local suite=huggingface 2025-09-07T08:29:25.5820084Z + shift 2025-09-07T08:29:25.5820247Z + local shard_id=3 2025-09-07T08:29:25.5820416Z + shift 2025-09-07T08:29:25.5820645Z + [[ inductor_huggingface_perf_cuda_h100 == *perf_compare* ]] 2025-09-07T08:29:25.5821013Z + [[ inductor_huggingface_perf_cuda_h100 == *perf* ]] 2025-09-07T08:29:25.5821313Z + [[ inductor_huggingface_perf_cuda_h100 == *b200* ]] 2025-09-07T08:29:25.5821611Z + test_single_dynamo_benchmark dashboard huggingface 3 2025-09-07T08:29:25.5824867Z ++ pwd 2025-09-07T08:29:25.5827475Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:29:25.5827883Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:29:25.5848128Z + local name=dashboard 2025-09-07T08:29:25.5848338Z + shift 2025-09-07T08:29:25.5848543Z + local suite=huggingface 2025-09-07T08:29:25.5848770Z + shift 2025-09-07T08:29:25.5848958Z + local shard_id=3 2025-09-07T08:29:25.5849157Z + shift 2025-09-07T08:29:25.5849343Z + partition_flags=() 2025-09-07T08:29:25.5849577Z + local partition_flags 2025-09-07T08:29:25.5849807Z + [[ -n 5 ]] 2025-09-07T08:29:25.5849995Z + [[ -n 3 ]] 2025-09-07T08:29:25.5850366Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T08:29:25.5850876Z + [[ inductor_huggingface_perf_cuda_h100 == *perf_compare* ]] 2025-09-07T08:29:25.5851263Z + [[ inductor_huggingface_perf_cuda_h100 == *perf* ]] 2025-09-07T08:29:25.5851741Z + test_perf_for_dashboard huggingface --device cuda --total-partitions 5 --partition-id 3 2025-09-07T08:29:25.5852830Z ++ pwd 2025-09-07T08:29:25.5855657Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:29:25.5856032Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:29:25.5871970Z + local suite=huggingface 2025-09-07T08:29:25.5872192Z + shift 2025-09-07T08:29:25.5872371Z + local backend=inductor 2025-09-07T08:29:25.5872590Z + modes=() 2025-09-07T08:29:25.5872763Z + local modes 2025-09-07T08:29:25.5873835Z + [[ 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* ]] 2025-09-07T08:29:25.5875015Z + modes+=(training) 2025-09-07T08:29:25.5876112Z + [[ 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* ]] 2025-09-07T08:29:25.5877203Z + modes+=(inference) 2025-09-07T08:29:25.5877579Z + targets=('accuracy' 'performance') 2025-09-07T08:29:25.5877810Z + local targets 2025-09-07T08:29:25.5877991Z + local device=cuda 2025-09-07T08:29:25.5878213Z + [[ inductor_huggingface_perf_cuda_h100 == *cpu* ]] 2025-09-07T08:29:25.5878536Z + [[ inductor_huggingface_perf_cuda_h100 == *cuda_a10g* ]] 2025-09-07T08:29:25.5878857Z + [[ inductor_huggingface_perf_cuda_h100 == *h100* ]] 2025-09-07T08:29:25.5879125Z + device=cuda_h100 2025-09-07T08:29:25.5879318Z + for mode in "${modes[@]}" 2025-09-07T08:29:25.5879543Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T08:29:25.5879787Z + [[ training == \t\r\a\i\n\i\n\g ]] 2025-09-07T08:29:25.6316623Z + dtype=amp 2025-09-07T08:29:25.6316890Z + for target in "${targets[@]}" 2025-09-07T08:29:25.6317164Z + target_flag=('--accuracy') 2025-09-07T08:29:25.6317556Z + local target_flag 2025-09-07T08:29:25.6317788Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T08:29:25.6318367Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T08:29:25.6318666Z + target_flag+=(--no-translation-validation) 2025-09-07T08:29:25.6319880Z + [[ 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* ]] 2025-09-07T08:29:25.6321975Z + [[ 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* ]] 2025-09-07T08:29:25.6324220Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 3 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.csv 2025-09-07T08:29:26.5843719Z /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. 2025-09-07T08:29:26.5844947Z import pynvml # type: ignore[import] 2025-09-07T08:29:30.2362534Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:29:30.2364039Z from pkg_resources import resource_filename 2025-09-07T08:29:30.5862468Z 2025-09-07T08:29:30.5863810Z config.json: 0% 0.00/694 [00:00 will be ignored 2025-09-07T08:32:39.5081026Z pass 2025-09-07T08:32:44.5912283Z /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. 2025-09-07T08:32:44.5913530Z import pynvml # type: ignore[import] 2025-09-07T08:32:47.6352371Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:32:47.6354087Z from pkg_resources import resource_filename 2025-09-07T08:32:48.2957219Z 2025-09-07T08:32:48.3101121Z loading model: 0it [00:00, ?it/s]If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T08:32:48.3102091Z WARNING:transformers.models.megatron_bert.modeling_megatron_bert:If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T08:32:52.5011737Z 2025-09-07T08:32:52.5012185Z loading model: 0it [00:04, ?it/s] 2025-09-07T08:32:52.5012581Z cuda train MegatronBertForCausalLM 2025-09-07T08:33:39.2143788Z W0907 08:33:39.213000 3383 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:34:38.0574408Z pass 2025-09-07T08:34:45.4225993Z /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. 2025-09-07T08:34:45.4227453Z import pynvml # type: ignore[import] 2025-09-07T08:34:48.4543265Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:34:48.4544614Z from pkg_resources import resource_filename 2025-09-07T08:34:49.0464367Z 2025-09-07T08:34:52.9270657Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:34:52.9270997Z loading model: 0it [00:03, ?it/s] 2025-09-07T08:34:52.9271335Z cuda train MegatronBertForQuestionAnswering 2025-09-07T08:35:39.5847852Z W0907 08:35:39.583000 4332 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:36:36.9029933Z pass 2025-09-07T08:36:44.2157028Z /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. 2025-09-07T08:36:44.2158796Z import pynvml # type: ignore[import] 2025-09-07T08:36:47.2807108Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:36:47.2808994Z from pkg_resources import resource_filename 2025-09-07T08:36:47.8985472Z 2025-09-07T08:36:49.4116931Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:36:49.4117661Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:36:49.4118038Z cuda train MobileBertForMaskedLM 2025-09-07T08:38:17.1448962Z pass 2025-09-07T08:38:23.0410273Z /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. 2025-09-07T08:38:23.0411622Z import pynvml # type: ignore[import] 2025-09-07T08:38:26.1854316Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:38:26.1855679Z from pkg_resources import resource_filename 2025-09-07T08:38:26.7947000Z 2025-09-07T08:38:28.3460901Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:38:28.3462259Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:38:28.3462749Z cuda train MobileBertForQuestionAnswering 2025-09-07T08:39:55.9953578Z pass 2025-09-07T08:40:02.0044923Z /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. 2025-09-07T08:40:02.0046188Z import pynvml # type: ignore[import] 2025-09-07T08:40:05.1248521Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:40:05.1250201Z from pkg_resources import resource_filename 2025-09-07T08:40:05.8385229Z 2025-09-07T08:40:07.9415297Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:40:07.9415690Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:40:07.9416028Z cuda train OPTForCausalLM 2025-09-07T08:40:17.2688940Z pass 2025-09-07T08:40:19.7442211Z accuracy pass_rate=100.00% 2025-09-07T08:40:19.7446670Z calls_captured gmean=645.68x mean=1306.444x 2025-09-07T08:40:19.7450201Z unique_graphs gmean=2.46x mean=3.556x 2025-09-07T08:40:19.7452961Z graph_breaks gmean=4.93x mean=5.222x 2025-09-07T08:40:19.7456430Z unique_graph_breaks gmean=4.04x mean=4.111x 2025-09-07T08:40:19.7459998Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:40:19.7463039Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:40:19.7466180Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T08:40:19.7467038Z compilation_latency mean=57.241 seconds 2025-09-07T08:40:20.9768224Z + [[ 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* ]] 2025-09-07T08:40:20.9770545Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 5 --partition-id 3 --output /var/lib/jenkins/workspace/test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.csv 2025-09-07T08:40:21.9935761Z /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. 2025-09-07T08:40:21.9936988Z import pynvml # type: ignore[import] 2025-09-07T08:40:25.0903616Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:40:25.0904933Z from pkg_resources import resource_filename 2025-09-07T08:40:27.4004384Z /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. 2025-09-07T08:40:27.4006360Z import pynvml # type: ignore[import] 2025-09-07T08:40:30.5884383Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:40:30.5885728Z from pkg_resources import resource_filename 2025-09-07T08:40:31.1930948Z 2025-09-07T08:40:39.6986310Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:40:39.6986651Z loading model: 0it [00:08, ?it/s] 2025-09-07T08:40:39.6986948Z cuda train M2M100ForConditionalGeneration 2025-09-07T08:41:29.7814162Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:41:29.7815358Z pred = mod(**cloned_inputs) 2025-09-07T08:41:29.7815992Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 1404, in forward 2025-09-07T08:41:29.7816601Z outputs = self.model( 2025-09-07T08:41:29.7817193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 1279, in forward 2025-09-07T08:41:29.7818269Z decoder_outputs = self.decoder( 2025-09-07T08:41:29.7818875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 1044, in forward 2025-09-07T08:41:29.7819495Z inputs_embeds = self.embed_tokens(input_ids) 2025-09-07T08:41:29.7820124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 96, in forward 2025-09-07T08:41:29.7820761Z return super().forward(input_ids) * self.embed_scale 2025-09-07T08:41:29.7821000Z 2025-09-07T08:41:29.7821005Z 2025-09-07T08:41:30.4961085Z pass 2025-09-07T08:41:35.6944878Z /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. 2025-09-07T08:41:35.6946106Z import pynvml # type: ignore[import] 2025-09-07T08:41:38.9353246Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:41:38.9354551Z from pkg_resources import resource_filename 2025-09-07T08:41:39.5410023Z 2025-09-07T08:41:43.0509239Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:41:43.0509596Z loading model: 0it [00:03, ?it/s] 2025-09-07T08:41:43.0509889Z cuda train MBartForCausalLM 2025-09-07T08:41:50.7097155Z 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/transformers/models/mbart/modeling_mbart.py", line 107, in forward 2025-09-07T08:41:50.7098677Z return super().forward(position_ids + self.offset) 2025-09-07T08:41:50.7098936Z 2025-09-07T08:41:50.7098941Z 2025-09-07T08:41:50.8719007Z 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/transformers/models/mbart/modeling_mbart.py", line 121, in forward 2025-09-07T08:41:50.8720270Z return super().forward(input_ids) * self.embed_scale 2025-09-07T08:41:50.8720516Z 2025-09-07T08:41:50.8720521Z 2025-09-07T08:41:51.5680984Z pass 2025-09-07T08:41:54.9993691Z /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. 2025-09-07T08:41:54.9995360Z import pynvml # type: ignore[import] 2025-09-07T08:41:58.0476057Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:41:58.0479655Z from pkg_resources import resource_filename 2025-09-07T08:41:58.6595309Z 2025-09-07T08:42:04.6914043Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:42:04.6914463Z loading model: 0it [00:06, ?it/s] 2025-09-07T08:42:04.6914799Z cuda train MBartForConditionalGeneration 2025-09-07T08:42:08.8147831Z 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/transformers/models/mbart/modeling_mbart.py", line 121, in forward 2025-09-07T08:42:08.8148924Z return super().forward(input_ids) * self.embed_scale 2025-09-07T08:42:08.8149200Z 2025-09-07T08:42:08.8149204Z 2025-09-07T08:42:11.3013609Z 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/transformers/models/mbart/modeling_mbart.py", line 107, in forward 2025-09-07T08:42:11.3014758Z return super().forward(position_ids + self.offset) 2025-09-07T08:42:11.3015124Z 2025-09-07T08:42:11.3015128Z 2025-09-07T08:42:16.2606358Z 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/transformers/models/mbart/modeling_mbart.py", line 107, in forward 2025-09-07T08:42:16.2607744Z return super().forward(position_ids + self.offset) 2025-09-07T08:42:16.2607970Z 2025-09-07T08:42:16.2607974Z 2025-09-07T08:42:18.9898856Z pass 2025-09-07T08:42:22.7898083Z /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. 2025-09-07T08:42:22.7899350Z import pynvml # type: ignore[import] 2025-09-07T08:42:26.0270082Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:42:26.0271940Z from pkg_resources import resource_filename 2025-09-07T08:42:26.6352471Z 2025-09-07T08:42:30.5063491Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:42:30.5063860Z loading model: 0it [00:03, ?it/s] 2025-09-07T08:42:30.5064164Z cuda train MT5ForConditionalGeneration 2025-09-07T08:43:10.8690854Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:43:10.8692502Z pred = mod(**cloned_inputs) 2025-09-07T08:43:10.8693479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 1787, in forward 2025-09-07T08:43:10.8694040Z decoder_outputs = self.decoder( 2025-09-07T08:43:10.8694533Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 1079, in forward 2025-09-07T08:43:10.8695127Z layer_outputs = layer_module( 2025-09-07T08:43:10.8695584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:43:10.8696075Z return super().__call__(*args, **kwargs) 2025-09-07T08:43:10.8697009Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 559, in forward 2025-09-07T08:43:10.8697918Z self_attention_outputs = self.layer[0]( 2025-09-07T08:43:10.8698417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 475, in forward 2025-09-07T08:43:10.8699125Z attention_output = self.SelfAttention( 2025-09-07T08:43:10.8699636Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 414, in forward 2025-09-07T08:43:10.8700128Z position_bias = self.compute_bias( 2025-09-07T08:43:10.8700635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 338, in compute_bias 2025-09-07T08:43:10.8701346Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T08:43:10.8701714Z 2025-09-07T08:43:10.8701718Z 2025-09-07T08:43:11.0989303Z W0907 08:43:11.098000 7983 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:43:38.2979604Z pass 2025-09-07T08:43:43.5315928Z /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. 2025-09-07T08:43:43.5317213Z import pynvml # type: ignore[import] 2025-09-07T08:43:46.6909922Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:43:46.6911366Z from pkg_resources import resource_filename 2025-09-07T08:43:47.2859669Z 2025-09-07T08:43:47.3007089Z loading model: 0it [00:00, ?it/s]If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T08:43:47.3008470Z WARNING:transformers.models.megatron_bert.modeling_megatron_bert:If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T08:43:51.4412171Z 2025-09-07T08:43:51.4412621Z loading model: 0it [00:04, ?it/s] 2025-09-07T08:43:51.4413039Z cuda train MegatronBertForCausalLM 2025-09-07T08:44:39.6470339Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:44:39.6471433Z pred = mod(**cloned_inputs) 2025-09-07T08:44:39.6472324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 1064, in forward 2025-09-07T08:44:39.6473187Z outputs = self.bert( 2025-09-07T08:44:39.6473906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 849, in forward 2025-09-07T08:44:39.6474776Z embedding_output = self.embeddings( 2025-09-07T08:44:39.6475500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 172, in forward 2025-09-07T08:44:39.6476360Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T08:44:39.6476635Z 2025-09-07T08:44:39.6476638Z 2025-09-07T08:44:39.9940030Z W0907 08:44:39.993000 8240 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:45:41.8839898Z pass 2025-09-07T08:45:48.7622032Z /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. 2025-09-07T08:45:48.7623427Z import pynvml # type: ignore[import] 2025-09-07T08:45:51.8959418Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:45:51.8961336Z from pkg_resources import resource_filename 2025-09-07T08:45:52.4918407Z 2025-09-07T08:45:56.2827531Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:45:56.2827884Z loading model: 0it [00:03, ?it/s] 2025-09-07T08:45:56.2828194Z cuda train MegatronBertForQuestionAnswering 2025-09-07T08:46:43.3701800Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:46:43.3702903Z pred = mod(**cloned_inputs) 2025-09-07T08:46:43.3703566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 1597, in forward 2025-09-07T08:46:43.3704238Z outputs = self.bert( 2025-09-07T08:46:43.3704840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 849, in forward 2025-09-07T08:46:43.3705498Z embedding_output = self.embeddings( 2025-09-07T08:46:43.3706140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 172, in forward 2025-09-07T08:46:43.3706860Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T08:46:43.3707123Z 2025-09-07T08:46:43.3707126Z 2025-09-07T08:46:44.3382069Z W0907 08:46:44.337000 8497 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:47:45.0767089Z pass 2025-09-07T08:47:51.7372572Z /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. 2025-09-07T08:47:51.7373855Z import pynvml # type: ignore[import] 2025-09-07T08:47:54.8252961Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:47:54.8254921Z from pkg_resources import resource_filename 2025-09-07T08:47:55.4123236Z 2025-09-07T08:47:56.9294011Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:47:56.9294414Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:47:56.9294757Z cuda train MobileBertForMaskedLM 2025-09-07T08:49:23.9331193Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:49:23.9332437Z pred = mod(**cloned_inputs) 2025-09-07T08:49:23.9333118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 976, in forward 2025-09-07T08:49:23.9333782Z outputs = self.mobilebert( 2025-09-07T08:49:23.9334423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 791, in forward 2025-09-07T08:49:23.9335180Z embedding_output = self.embeddings( 2025-09-07T08:49:23.9336480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 213, in forward 2025-09-07T08:49:23.9337748Z token_type_embeddings = self.token_type_embeddings(token_type_ids) 2025-09-07T08:49:23.9338068Z 2025-09-07T08:49:23.9338072Z 2025-09-07T08:49:25.0458585Z pass 2025-09-07T08:49:31.0161555Z /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. 2025-09-07T08:49:31.0162788Z import pynvml # type: ignore[import] 2025-09-07T08:49:34.0727850Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:49:34.0730035Z from pkg_resources import resource_filename 2025-09-07T08:49:34.6666751Z 2025-09-07T08:49:36.4607041Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:49:36.4607721Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:49:36.4607986Z cuda train MobileBertForQuestionAnswering 2025-09-07T08:51:04.3704921Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:51:04.3706103Z pred = mod(**cloned_inputs) 2025-09-07T08:51:04.3706818Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 1242, in forward 2025-09-07T08:51:04.3707892Z outputs = self.mobilebert( 2025-09-07T08:51:04.3708556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 791, in forward 2025-09-07T08:51:04.3709291Z embedding_output = self.embeddings( 2025-09-07T08:51:04.3709974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 213, in forward 2025-09-07T08:51:04.3710773Z token_type_embeddings = self.token_type_embeddings(token_type_ids) 2025-09-07T08:51:04.3711085Z 2025-09-07T08:51:04.3711089Z 2025-09-07T08:51:05.6565266Z pass 2025-09-07T08:51:12.3948421Z /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. 2025-09-07T08:51:12.3949648Z import pynvml # type: ignore[import] 2025-09-07T08:51:15.6053778Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:51:15.6055229Z from pkg_resources import resource_filename 2025-09-07T08:51:16.2154045Z 2025-09-07T08:51:18.5052214Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:51:18.5052592Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:51:18.5052898Z cuda train OPTForCausalLM 2025-09-07T08:51:26.0214046Z 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/transformers/models/opt/modeling_opt.py", line 76, in forward 2025-09-07T08:51:26.0215228Z return super().forward(position_ids + self.offset) 2025-09-07T08:51:26.0215473Z 2025-09-07T08:51:26.0215478Z 2025-09-07T08:51:26.9696655Z pass 2025-09-07T08:51:29.4975664Z accuracy pass_rate=100.00% 2025-09-07T08:51:29.4980417Z calls_captured gmean=645.68x mean=1306.444x 2025-09-07T08:51:29.4983894Z unique_graphs gmean=2.46x mean=3.556x 2025-09-07T08:51:29.4986702Z graph_breaks gmean=4.93x mean=5.222x 2025-09-07T08:51:29.4990151Z unique_graph_breaks gmean=4.04x mean=4.111x 2025-09-07T08:51:29.4993191Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:51:29.4996110Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:51:29.4999524Z cudagraph_skips gmean=1.22x mean=1.333x 2025-09-07T08:51:29.5000504Z compilation_latency mean=57.729 seconds 2025-09-07T08:51:30.6015248Z + [[ 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* ]] 2025-09-07T08:51:30.6018014Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --dynamic-shapes --dynamic-batch-only --device cuda --total-partitions 5 --partition-id 3 --output /var/lib/jenkins/workspace/test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_accuracy.csv 2025-09-07T08:51:31.5874386Z /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. 2025-09-07T08:51:31.5875728Z import pynvml # type: ignore[import] 2025-09-07T08:51:34.8188197Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:51:34.8189529Z from pkg_resources import resource_filename 2025-09-07T08:51:37.2087084Z /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. 2025-09-07T08:51:37.2088670Z import pynvml # type: ignore[import] 2025-09-07T08:51:40.3398517Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:51:40.3399843Z from pkg_resources import resource_filename 2025-09-07T08:51:40.9296754Z 2025-09-07T08:51:49.6242427Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:51:49.6242792Z loading model: 0it [00:08, ?it/s] 2025-09-07T08:51:49.6243096Z cuda train M2M100ForConditionalGeneration 2025-09-07T08:51:58.8181550Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:51:58.8183265Z pred = mod(**cloned_inputs) 2025-09-07T08:51:58.8184327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 1404, in forward 2025-09-07T08:51:58.8185330Z outputs = self.model( 2025-09-07T08:51:58.8186244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 1279, in forward 2025-09-07T08:51:58.8187220Z decoder_outputs = self.decoder( 2025-09-07T08:51:58.8188880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 1044, in forward 2025-09-07T08:51:58.8189597Z inputs_embeds = self.embed_tokens(input_ids) 2025-09-07T08:51:58.8190746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 96, in forward 2025-09-07T08:51:58.8191418Z return super().forward(input_ids) * self.embed_scale 2025-09-07T08:51:58.8191655Z 2025-09-07T08:51:58.8191658Z 2025-09-07T08:52:00.2130551Z pass 2025-09-07T08:52:03.8386970Z /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. 2025-09-07T08:52:03.8388601Z import pynvml # type: ignore[import] 2025-09-07T08:52:06.9001921Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:52:06.9003210Z from pkg_resources import resource_filename 2025-09-07T08:52:07.5366759Z 2025-09-07T08:52:10.9149398Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:52:10.9149749Z loading model: 0it [00:03, ?it/s] 2025-09-07T08:52:10.9150038Z cuda train MBartForCausalLM 2025-09-07T08:52:13.7731073Z 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/transformers/models/mbart/modeling_mbart.py", line 121, in forward 2025-09-07T08:52:13.7732037Z return super().forward(input_ids) * self.embed_scale 2025-09-07T08:52:13.7732252Z 2025-09-07T08:52:13.7732255Z 2025-09-07T08:52:13.9496802Z 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/transformers/models/mbart/modeling_mbart.py", line 107, in forward 2025-09-07T08:52:13.9498229Z return super().forward(position_ids + self.offset) 2025-09-07T08:52:13.9498507Z 2025-09-07T08:52:13.9498512Z 2025-09-07T08:52:15.3316590Z pass 2025-09-07T08:52:18.6385635Z /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. 2025-09-07T08:52:18.6386901Z import pynvml # type: ignore[import] 2025-09-07T08:52:21.7181876Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:52:21.7183989Z from pkg_resources import resource_filename 2025-09-07T08:52:22.3116147Z 2025-09-07T08:52:28.2899932Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:52:28.2900516Z loading model: 0it [00:05, ?it/s] 2025-09-07T08:52:28.2901019Z cuda train MBartForConditionalGeneration 2025-09-07T08:52:32.0208198Z 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/transformers/models/mbart/modeling_mbart.py", line 121, in forward 2025-09-07T08:52:32.0209449Z return super().forward(input_ids) * self.embed_scale 2025-09-07T08:52:32.0209688Z 2025-09-07T08:52:32.0209691Z 2025-09-07T08:52:32.0764557Z 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/transformers/models/mbart/modeling_mbart.py", line 107, in forward 2025-09-07T08:52:32.0765645Z return super().forward(position_ids + self.offset) 2025-09-07T08:52:32.0765891Z 2025-09-07T08:52:32.0765896Z 2025-09-07T08:52:32.7348000Z 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/transformers/models/mbart/modeling_mbart.py", line 107, in forward 2025-09-07T08:52:32.7349263Z return super().forward(position_ids + self.offset) 2025-09-07T08:52:32.7349744Z 2025-09-07T08:52:32.7349748Z 2025-09-07T08:52:36.4470782Z pass 2025-09-07T08:52:39.8999865Z /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. 2025-09-07T08:52:39.9001911Z import pynvml # type: ignore[import] 2025-09-07T08:52:42.9596811Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:52:42.9599472Z from pkg_resources import resource_filename 2025-09-07T08:52:43.5639553Z 2025-09-07T08:52:47.2002692Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:52:47.2003084Z loading model: 0it [00:03, ?it/s] 2025-09-07T08:52:47.2003400Z cuda train MT5ForConditionalGeneration 2025-09-07T08:52:55.4990933Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:52:55.4992041Z pred = mod(**cloned_inputs) 2025-09-07T08:52:55.4992632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 1787, in forward 2025-09-07T08:52:55.4993225Z decoder_outputs = self.decoder( 2025-09-07T08:52:55.4993809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 1079, in forward 2025-09-07T08:52:55.4994375Z layer_outputs = layer_module( 2025-09-07T08:52:55.4994884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:52:55.4995441Z return super().__call__(*args, **kwargs) 2025-09-07T08:52:55.4995999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 559, in forward 2025-09-07T08:52:55.4996577Z self_attention_outputs = self.layer[0]( 2025-09-07T08:52:55.4997142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 475, in forward 2025-09-07T08:52:55.4997981Z attention_output = self.SelfAttention( 2025-09-07T08:52:55.4998565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 414, in forward 2025-09-07T08:52:55.4999129Z position_bias = self.compute_bias( 2025-09-07T08:52:55.4999730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 338, in compute_bias 2025-09-07T08:52:55.5000549Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T08:52:55.5000991Z 2025-09-07T08:52:55.5001001Z 2025-09-07T08:52:56.3581959Z W0907 08:52:56.357000 10057 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:53:02.7764092Z pass 2025-09-07T08:53:06.3713150Z /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. 2025-09-07T08:53:06.3714422Z import pynvml # type: ignore[import] 2025-09-07T08:53:09.4824077Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:53:09.4825600Z from pkg_resources import resource_filename 2025-09-07T08:53:10.0958144Z 2025-09-07T08:53:10.1105442Z loading model: 0it [00:00, ?it/s]If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T08:53:10.1106380Z WARNING:transformers.models.megatron_bert.modeling_megatron_bert:If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T08:53:14.2423863Z 2025-09-07T08:53:14.2424309Z loading model: 0it [00:04, ?it/s] 2025-09-07T08:53:14.2424676Z cuda train MegatronBertForCausalLM 2025-09-07T08:53:23.6227178Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:53:23.6228593Z pred = mod(**cloned_inputs) 2025-09-07T08:53:23.6229252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 1064, in forward 2025-09-07T08:53:23.6229918Z outputs = self.bert( 2025-09-07T08:53:23.6230523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 849, in forward 2025-09-07T08:53:23.6231175Z embedding_output = self.embeddings( 2025-09-07T08:53:23.6231812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 172, in forward 2025-09-07T08:53:23.6232529Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T08:53:23.6232804Z 2025-09-07T08:53:23.6232807Z 2025-09-07T08:53:24.7652377Z W0907 08:53:24.764000 10249 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:53:37.6050205Z pass 2025-09-07T08:53:41.2941605Z /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. 2025-09-07T08:53:41.2942847Z import pynvml # type: ignore[import] 2025-09-07T08:53:44.3496818Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:53:44.3498630Z from pkg_resources import resource_filename 2025-09-07T08:53:44.9492969Z 2025-09-07T08:53:48.8681884Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:53:48.8682277Z loading model: 0it [00:03, ?it/s] 2025-09-07T08:53:48.8682598Z cuda train MegatronBertForQuestionAnswering 2025-09-07T08:53:58.0851488Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:53:58.0852629Z pred = mod(**cloned_inputs) 2025-09-07T08:53:58.0853315Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 1597, in forward 2025-09-07T08:53:58.0853980Z outputs = self.bert( 2025-09-07T08:53:58.0854592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 849, in forward 2025-09-07T08:53:58.0855442Z embedding_output = self.embeddings( 2025-09-07T08:53:58.0856559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 172, in forward 2025-09-07T08:53:58.0857646Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T08:53:58.0858139Z 2025-09-07T08:53:58.0858143Z 2025-09-07T08:53:59.2439304Z W0907 08:53:59.243000 10409 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:54:11.7136660Z pass 2025-09-07T08:54:15.3541967Z /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. 2025-09-07T08:54:15.3543175Z import pynvml # type: ignore[import] 2025-09-07T08:54:18.4339328Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:54:18.4340709Z from pkg_resources import resource_filename 2025-09-07T08:54:19.0475867Z 2025-09-07T08:54:20.5749547Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:54:20.5749894Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:54:20.5750193Z cuda train MobileBertForMaskedLM 2025-09-07T08:54:36.0951832Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:54:36.0952915Z pred = mod(**cloned_inputs) 2025-09-07T08:54:36.0953578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 976, in forward 2025-09-07T08:54:36.0954244Z outputs = self.mobilebert( 2025-09-07T08:54:36.0954869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 791, in forward 2025-09-07T08:54:36.0955526Z embedding_output = self.embeddings( 2025-09-07T08:54:36.0956172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 213, in forward 2025-09-07T08:54:36.0956901Z token_type_embeddings = self.token_type_embeddings(token_type_ids) 2025-09-07T08:54:36.0957189Z 2025-09-07T08:54:36.0957192Z 2025-09-07T08:54:39.0208307Z pass 2025-09-07T08:54:42.8120264Z /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. 2025-09-07T08:54:42.8121547Z import pynvml # type: ignore[import] 2025-09-07T08:54:45.8680906Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:54:45.8682739Z from pkg_resources import resource_filename 2025-09-07T08:54:46.6515508Z 2025-09-07T08:54:48.3460151Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:54:48.3460522Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:54:48.3460866Z cuda train MobileBertForQuestionAnswering 2025-09-07T08:55:03.8297910Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:55:03.8299412Z pred = mod(**cloned_inputs) 2025-09-07T08:55:03.8300021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 1242, in forward 2025-09-07T08:55:03.8300586Z outputs = self.mobilebert( 2025-09-07T08:55:03.8301479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 791, in forward 2025-09-07T08:55:03.8302072Z embedding_output = self.embeddings( 2025-09-07T08:55:03.8302637Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 213, in forward 2025-09-07T08:55:03.8303270Z token_type_embeddings = self.token_type_embeddings(token_type_ids) 2025-09-07T08:55:03.8303519Z 2025-09-07T08:55:03.8303523Z 2025-09-07T08:55:06.8940205Z pass 2025-09-07T08:55:10.6916702Z /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. 2025-09-07T08:55:10.6918375Z import pynvml # type: ignore[import] 2025-09-07T08:55:14.3276616Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:55:14.3279312Z from pkg_resources import resource_filename 2025-09-07T08:55:14.9495231Z 2025-09-07T08:55:16.9919501Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:55:16.9920000Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:55:16.9920474Z cuda train OPTForCausalLM 2025-09-07T08:55:20.3349900Z 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/transformers/models/opt/modeling_opt.py", line 76, in forward 2025-09-07T08:55:20.3351339Z return super().forward(position_ids + self.offset) 2025-09-07T08:55:20.3351620Z 2025-09-07T08:55:20.3351637Z 2025-09-07T08:55:21.7715788Z pass 2025-09-07T08:55:24.1523072Z accuracy pass_rate=100.00% 2025-09-07T08:55:24.1528665Z calls_captured gmean=645.68x mean=1306.444x 2025-09-07T08:55:24.1531666Z unique_graphs gmean=2.46x mean=3.556x 2025-09-07T08:55:24.1534709Z graph_breaks gmean=4.93x mean=5.222x 2025-09-07T08:55:24.1538230Z unique_graph_breaks gmean=4.04x mean=4.111x 2025-09-07T08:55:24.1541419Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:55:24.1544514Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:55:24.1547890Z cudagraph_skips gmean=1.22x mean=1.333x 2025-09-07T08:55:24.1549091Z compilation_latency mean=11.319 seconds 2025-09-07T08:55:25.2659236Z + [[ 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* ]] 2025-09-07T08:55:25.2660777Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T08:55:25.2662495Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 3 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_accuracy.csv 2025-09-07T08:55:26.2038831Z /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. 2025-09-07T08:55:26.2040627Z import pynvml # type: ignore[import] 2025-09-07T08:55:29.3286945Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:55:29.3289013Z from pkg_resources import resource_filename 2025-09-07T08:55:31.5908688Z /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. 2025-09-07T08:55:31.5909910Z import pynvml # type: ignore[import] 2025-09-07T08:55:34.6729827Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:55:34.6731216Z from pkg_resources import resource_filename 2025-09-07T08:55:35.2642374Z 2025-09-07T08:55:43.9256672Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:55:43.9257079Z loading model: 0it [00:08, ?it/s] 2025-09-07T08:55:43.9257865Z cuda train M2M100ForConditionalGeneration 2025-09-07T08:57:54.5435011Z pass 2025-09-07T08:58:00.2186047Z /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. 2025-09-07T08:58:00.2187655Z import pynvml # type: ignore[import] 2025-09-07T08:58:03.3078733Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:58:03.3080549Z from pkg_resources import resource_filename 2025-09-07T08:58:03.9437702Z 2025-09-07T08:58:07.5000690Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:58:07.5001072Z loading model: 0it [00:03, ?it/s] 2025-09-07T08:58:07.5001379Z cuda train MBartForCausalLM 2025-09-07T08:58:29.0413368Z pass 2025-09-07T08:58:32.4612717Z /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. 2025-09-07T08:58:32.4613985Z import pynvml # type: ignore[import] 2025-09-07T08:58:35.5677233Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:58:35.5678904Z from pkg_resources import resource_filename 2025-09-07T08:58:36.3172089Z 2025-09-07T08:58:42.4199461Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:58:42.4199917Z loading model: 0it [00:06, ?it/s] 2025-09-07T08:58:42.4200323Z cuda train MBartForConditionalGeneration 2025-09-07T08:59:07.0737026Z pass 2025-09-07T08:59:11.2875398Z /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. 2025-09-07T08:59:11.2876651Z import pynvml # type: ignore[import] 2025-09-07T08:59:14.7131529Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:59:14.7133191Z from pkg_resources import resource_filename 2025-09-07T08:59:15.4034164Z 2025-09-07T08:59:19.1348389Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:59:19.1348725Z loading model: 0it [00:03, ?it/s] 2025-09-07T08:59:19.1349022Z cuda train MT5ForConditionalGeneration 2025-09-07T09:00:54.4187579Z W0907 09:00:54.417000 14173 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:01:34.4146310Z pass 2025-09-07T09:01:40.8474458Z /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. 2025-09-07T09:01:40.8475712Z import pynvml # type: ignore[import] 2025-09-07T09:01:43.9585363Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:01:43.9586810Z from pkg_resources import resource_filename 2025-09-07T09:01:44.8065914Z 2025-09-07T09:01:44.8210065Z loading model: 0it [00:00, ?it/s]If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:01:44.8211023Z WARNING:transformers.models.megatron_bert.modeling_megatron_bert:If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:01:48.9228605Z 2025-09-07T09:01:48.9228975Z loading model: 0it [00:04, ?it/s] 2025-09-07T09:01:48.9229359Z cuda train MegatronBertForCausalLM 2025-09-07T09:03:41.9666277Z W0907 09:03:41.965000 14888 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:05:21.3164756Z pass 2025-09-07T09:05:29.9220840Z /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. 2025-09-07T09:05:29.9222276Z import pynvml # type: ignore[import] 2025-09-07T09:05:33.0686502Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:05:33.0688263Z from pkg_resources import resource_filename 2025-09-07T09:05:33.6554959Z 2025-09-07T09:05:37.4469154Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:05:37.4469471Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:05:37.4469781Z cuda train MegatronBertForQuestionAnswering 2025-09-07T09:07:35.1676028Z W0907 09:07:35.166000 15475 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:09:15.7176296Z pass 2025-09-07T09:09:24.6427796Z /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. 2025-09-07T09:09:24.6429054Z import pynvml # type: ignore[import] 2025-09-07T09:09:27.7346103Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:09:27.7347846Z from pkg_resources import resource_filename 2025-09-07T09:09:28.3382570Z 2025-09-07T09:09:29.9220499Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:09:29.9220847Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:09:29.9221167Z cuda train MobileBertForMaskedLM 2025-09-07T09:15:19.6166106Z pass 2025-09-07T09:15:26.9620200Z /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. 2025-09-07T09:15:26.9621304Z import pynvml # type: ignore[import] 2025-09-07T09:15:30.0254194Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:15:30.0255627Z from pkg_resources import resource_filename 2025-09-07T09:15:30.6184399Z 2025-09-07T09:15:31.9633515Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:15:31.9633898Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:15:31.9634213Z cuda train MobileBertForQuestionAnswering 2025-09-07T09:21:16.7700610Z pass 2025-09-07T09:21:24.1879062Z /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. 2025-09-07T09:21:24.1880738Z import pynvml # type: ignore[import] 2025-09-07T09:21:27.2741132Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:21:27.2742579Z from pkg_resources import resource_filename 2025-09-07T09:21:27.9150131Z 2025-09-07T09:21:30.0581217Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:21:30.0581591Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:21:30.0581910Z cuda train OPTForCausalLM 2025-09-07T09:21:52.4732708Z pass 2025-09-07T09:21:55.0277715Z accuracy pass_rate=100.00% 2025-09-07T09:21:55.0282688Z calls_captured gmean=645.68x mean=1306.444x 2025-09-07T09:21:55.0285921Z unique_graphs gmean=2.46x mean=3.556x 2025-09-07T09:21:55.0289319Z graph_breaks gmean=4.93x mean=5.222x 2025-09-07T09:21:55.0292463Z unique_graph_breaks gmean=4.04x mean=4.111x 2025-09-07T09:21:55.0295799Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:21:55.0299206Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:21:55.0302300Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:21:55.0303346Z compilation_latency mean=160.191 seconds 2025-09-07T09:21:56.1404047Z + [[ 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* ]] 2025-09-07T09:21:56.1405358Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:21:56.1406597Z + [[ 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* ]] 2025-09-07T09:21:56.1408720Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:21:56.1410043Z + [[ 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* ]] 2025-09-07T09:21:56.1411319Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:21:56.1412384Z + [[ 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* ]] 2025-09-07T09:21:56.1413466Z + TORCHINDUCTOR_MAX_AUTOTUNE=1 2025-09-07T09:21:56.1414606Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 5 --partition-id 3 --output /var/lib/jenkins/workspace/test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_accuracy.csv 2025-09-07T09:21:57.1225526Z /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. 2025-09-07T09:21:57.1226775Z import pynvml # type: ignore[import] 2025-09-07T09:22:00.2144414Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:22:00.2145722Z from pkg_resources import resource_filename 2025-09-07T09:22:02.5626556Z /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. 2025-09-07T09:22:02.5628171Z import pynvml # type: ignore[import] 2025-09-07T09:22:05.6500362Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:22:05.6501756Z from pkg_resources import resource_filename 2025-09-07T09:22:06.2472456Z 2025-09-07T09:22:15.0191951Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:22:15.0192294Z loading model: 0it [00:08, ?it/s] 2025-09-07T09:22:15.0192596Z cuda train M2M100ForConditionalGeneration 2025-09-07T09:22:52.9536175Z Autotune Choices Stats: 2025-09-07T09:22:52.9537941Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011136000044643879, "best_triton_pos": 1, "best_triton_time": 0.012095999903976917, "best_triton_kernel": "triton_mm_88", "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"} 2025-09-07T09:22:52.9542869Z AUTOTUNE mm(128x1024, 1024x4096) 2025-09-07T09:22:52.9543187Z strides: [1024, 1], [1, 1024] 2025-09-07T09:22:52.9543439Z dtypes: torch.float16, torch.float16 2025-09-07T09:22:52.9543685Z mm 0.0111 ms 100.0% 2025-09-07T09:22:52.9544260Z triton_mm_88 0.0121 ms 92.1% 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 2025-09-07T09:22:52.9545206Z triton_mm_80 0.0134 ms 83.1% 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 2025-09-07T09:22:52.9546664Z triton_mm_94 0.0138 ms 80.6% 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 2025-09-07T09:22:52.9547854Z triton_mm_83 0.0139 ms 80.2% 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 2025-09-07T09:22:52.9549068Z triton_mm_87 0.0145 ms 77.0% 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 2025-09-07T09:22:52.9550039Z triton_mm_79 0.0149 ms 74.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:22:52.9551030Z triton_mm_93 0.0155 ms 71.9% 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 2025-09-07T09:22:52.9552024Z triton_mm_77 0.0158 ms 70.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:22:52.9553009Z triton_mm_90 0.0164 ms 67.7% 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 2025-09-07T09:22:52.9553871Z SingleProcess AUTOTUNE benchmarking takes 0.2431 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T09:22:55.2748876Z Autotune Choices Stats: 2025-09-07T09:22:55.2749918Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_4", "best_kernel_desc": "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", "best_time": 0.008671999908983707, "best_triton_pos": 0} 2025-09-07T09:22:55.2757070Z AUTOTUNE mm(128x1024, 1024x1024) 2025-09-07T09:22:55.2757580Z strides: [1024, 1], [1, 1024] 2025-09-07T09:22:55.2757879Z dtypes: torch.float16, torch.float16 2025-09-07T09:22:55.2758524Z triton_mm_4 0.0087 ms 100.0% 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 2025-09-07T09:22:55.2759553Z triton_mm_8 0.0093 ms 93.4% 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 2025-09-07T09:22:55.2760172Z mm 0.0096 ms 90.6% 2025-09-07T09:22:55.2760758Z triton_mm_12 0.0105 ms 82.4% 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 2025-09-07T09:22:55.2761745Z triton_mm_3 0.0118 ms 73.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:22:55.2762704Z triton_mm_7 0.0121 ms 71.5% 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 2025-09-07T09:22:55.2763663Z triton_mm_18 0.0123 ms 70.6% 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 2025-09-07T09:22:55.2764629Z triton_mm_2 0.0125 ms 69.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:22:55.2765581Z triton_mm_11 0.0130 ms 66.9% 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 2025-09-07T09:22:55.2766540Z triton_mm_1 0.0132 ms 65.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:22:55.2768016Z SingleProcess AUTOTUNE benchmarking takes 0.2379 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:22:55.5601006Z Autotune Choices Stats: 2025-09-07T09:22:55.5602102Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_99", "best_kernel_desc": "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", "best_time": 0.014879999682307243, "best_triton_pos": 0} 2025-09-07T09:22:55.5607106Z AUTOTUNE mm(128x4096, 4096x1024) 2025-09-07T09:22:55.5607554Z strides: [4096, 1], [1, 4096] 2025-09-07T09:22:55.5607824Z dtypes: torch.float16, torch.float16 2025-09-07T09:22:55.5608546Z triton_mm_99 0.0149 ms 100.0% 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 2025-09-07T09:22:55.5609146Z mm 0.0161 ms 92.6% 2025-09-07T09:22:55.5609693Z triton_mm_103 0.0162 ms 91.7% 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 2025-09-07T09:22:55.5610606Z triton_mm_107 0.0192 ms 77.5% 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 2025-09-07T09:22:55.5611539Z triton_mm_113 0.0273 ms 54.6% 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 2025-09-07T09:22:55.5612441Z triton_mm_98 0.0305 ms 48.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:22:55.5613335Z triton_mm_97 0.0318 ms 46.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:22:55.5614231Z triton_mm_106 0.0326 ms 45.7% 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 2025-09-07T09:22:55.5615218Z triton_mm_96 0.0330 ms 45.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:22:55.5616122Z triton_mm_102 0.0330 ms 45.1% 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 2025-09-07T09:22:55.5616910Z SingleProcess AUTOTUNE benchmarking takes 0.2830 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:22:56.1481839Z Autotune Choices Stats: 2025-09-07T09:22:56.1482925Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_3666", "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=5, num_warps=8", "best_time": 0.11481600254774094, "best_triton_pos": 0} 2025-09-07T09:22:56.1488578Z AUTOTUNE mm(128x1024, 1024x128112) 2025-09-07T09:22:56.1488827Z strides: [1024, 1], [1, 1024] 2025-09-07T09:22:56.1489061Z dtypes: torch.float16, torch.float16 2025-09-07T09:22:56.1489669Z triton_mm_3666 0.1148 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=5, num_warps=8 2025-09-07T09:22:56.1490615Z triton_mm_3665 0.1159 ms 99.1% 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 2025-09-07T09:22:56.1491195Z mm 0.1187 ms 96.7% 2025-09-07T09:22:56.1491729Z triton_mm_3659 0.1189 ms 96.6% 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 2025-09-07T09:22:56.1493073Z triton_mm_3660 0.1261 ms 91.0% 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 2025-09-07T09:22:56.1494001Z triton_mm_3655 0.1291 ms 88.9% 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 2025-09-07T09:22:56.1495189Z triton_mm_3664 0.1409 ms 81.5% 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 2025-09-07T09:22:56.1496101Z triton_mm_3656 0.1460 ms 78.6% 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 2025-09-07T09:22:56.1497010Z triton_mm_3662 0.1483 ms 77.4% 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 2025-09-07T09:22:56.1498312Z triton_mm_3661 0.1497 ms 76.7% 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 2025-09-07T09:22:56.1499129Z SingleProcess AUTOTUNE benchmarking takes 0.5214 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:23:21.8682693Z Autotune Choices Stats: 2025-09-07T09:23:21.8684189Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.11561600118875504, "best_triton_pos": 1, "best_triton_time": 0.14691199362277985, "best_triton_kernel": "triton_mm_3676", "best_triton_kernel_desc": "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"} 2025-09-07T09:23:21.9064995Z AUTOTUNE mm(128112x128, 128x1024) 2025-09-07T09:23:21.9065250Z strides: [1, 128128], [1024, 1] 2025-09-07T09:23:21.9065488Z dtypes: torch.float16, torch.float16 2025-09-07T09:23:21.9065733Z mm 0.1156 ms 100.0% 2025-09-07T09:23:21.9066333Z triton_mm_3676 0.1469 ms 78.7% 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 2025-09-07T09:23:21.9067684Z triton_mm_3683 0.1483 ms 78.0% 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 2025-09-07T09:23:21.9068700Z triton_mm_3681 0.1491 ms 77.5% 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=4, num_warps=8 2025-09-07T09:23:21.9069704Z triton_mm_3684 0.1511 ms 76.5% 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 2025-09-07T09:23:21.9070700Z triton_mm_3680 0.1524 ms 75.8% 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 2025-09-07T09:23:21.9071688Z triton_mm_3677 0.1616 ms 71.5% 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 2025-09-07T09:23:21.9072675Z triton_mm_3682 0.1669 ms 69.3% 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=2, num_warps=8 2025-09-07T09:23:21.9073657Z triton_mm_3678 0.1676 ms 69.0% 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 2025-09-07T09:23:21.9074640Z triton_mm_3679 0.1680 ms 68.8% 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 2025-09-07T09:23:21.9075497Z SingleProcess AUTOTUNE benchmarking takes 0.5983 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T09:23:22.4001176Z Autotune Choices Stats: 2025-09-07T09:23:22.4002553Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_3740", "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": 0.010143999941647053, "best_triton_pos": 0} 2025-09-07T09:23:22.4205411Z AUTOTUNE mm(1024x128, 128x4096) 2025-09-07T09:23:22.4205663Z strides: [1, 1024], [4096, 1] 2025-09-07T09:23:22.4205896Z dtypes: torch.float16, torch.float16 2025-09-07T09:23:22.4206496Z triton_mm_3740 0.0101 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 2025-09-07T09:23:22.4207814Z triton_mm_3733 0.0103 ms 98.8% 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 2025-09-07T09:23:22.4208761Z triton_mm_3741 0.0104 ms 97.8% 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 2025-09-07T09:23:22.4209676Z triton_mm_3734 0.0104 ms 97.2% 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=4, num_warps=8 2025-09-07T09:23:22.4210257Z mm 0.0105 ms 96.9% 2025-09-07T09:23:22.4210784Z triton_mm_3737 0.0105 ms 96.6% 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 2025-09-07T09:23:22.4211697Z triton_mm_3738 0.0105 ms 96.4% 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 2025-09-07T09:23:22.4212601Z triton_mm_3730 0.0107 ms 95.2% 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 2025-09-07T09:23:22.4213510Z triton_mm_3736 0.0107 ms 94.9% 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 2025-09-07T09:23:22.4214433Z triton_mm_3739 0.0108 ms 93.8% 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 2025-09-07T09:23:22.4215299Z SingleProcess AUTOTUNE benchmarking takes 0.2126 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:23:23.3209859Z Autotune Choices Stats: 2025-09-07T09:23:23.3210975Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_3771", "best_kernel_desc": "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", "best_time": 0.010048000141978264, "best_triton_pos": 0} 2025-09-07T09:23:23.4310589Z AUTOTUNE mm(4096x128, 128x1024) 2025-09-07T09:23:23.4310939Z strides: [1, 4096], [1024, 1] 2025-09-07T09:23:23.4311197Z dtypes: torch.float16, torch.float16 2025-09-07T09:23:23.4311864Z triton_mm_3771 0.0100 ms 100.0% 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=3, num_warps=4 2025-09-07T09:23:23.4312900Z triton_mm_3778 0.0103 ms 97.2% 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 2025-09-07T09:23:23.4313524Z mm 0.0104 ms 96.9% 2025-09-07T09:23:23.4314094Z triton_mm_3775 0.0105 ms 96.0% 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 2025-09-07T09:23:23.4315084Z triton_mm_3779 0.0106 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=3, num_warps=4 2025-09-07T09:23:23.4316734Z triton_mm_3772 0.0107 ms 94.3% 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 2025-09-07T09:23:23.4318128Z triton_mm_3768 0.0107 ms 94.0% 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 2025-09-07T09:23:23.4319284Z triton_mm_3776 0.0108 ms 93.5% 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=4, num_warps=8 2025-09-07T09:23:23.4320199Z triton_mm_3774 0.0109 ms 92.4% 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 2025-09-07T09:23:23.4321122Z triton_mm_3777 0.0110 ms 91.5% 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=2, num_warps=8 2025-09-07T09:23:23.4321913Z SingleProcess AUTOTUNE benchmarking takes 0.5051 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:23:24.1012441Z Autotune Choices Stats: 2025-09-07T09:23:24.1013550Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_3811", "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=3, num_warps=4", "best_time": 0.007455999962985516, "best_triton_pos": 0} 2025-09-07T09:23:24.1776130Z AUTOTUNE mm(1024x128, 128x1024) 2025-09-07T09:23:24.1776415Z strides: [1, 1024], [1024, 1] 2025-09-07T09:23:24.1776689Z dtypes: torch.float16, torch.float16 2025-09-07T09:23:24.1777716Z triton_mm_3811 0.0075 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=3, num_warps=4 2025-09-07T09:23:24.1778744Z triton_mm_3814 0.0076 ms 97.9% 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 2025-09-07T09:23:24.1779374Z mm 0.0076 ms 97.5% 2025-09-07T09:23:24.1779957Z triton_mm_3809 0.0076 ms 97.5% 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 2025-09-07T09:23:24.1780926Z triton_mm_3807 0.0077 ms 97.1% 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 2025-09-07T09:23:24.1781889Z triton_mm_3813 0.0077 ms 96.7% 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 2025-09-07T09:23:24.1782853Z triton_mm_3808 0.0079 ms 94.7% 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 2025-09-07T09:23:24.1783821Z triton_mm_3810 0.0079 ms 94.7% 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 2025-09-07T09:23:24.1784798Z triton_mm_3812 0.0079 ms 94.7% 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 2025-09-07T09:23:24.1785763Z triton_mm_3816 0.0081 ms 92.5% 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 2025-09-07T09:23:24.1786627Z SingleProcess AUTOTUNE benchmarking takes 0.3074 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:23:26.3788773Z Autotune Choices Stats: 2025-09-07T09:23:26.3790197Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_3713", "best_kernel_desc": "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", "best_time": 0.010975999757647514, "best_triton_pos": 0} 2025-09-07T09:23:26.4041533Z AUTOTUNE mm(128x1024, 1024x4096) 2025-09-07T09:23:26.4042373Z strides: [1024, 1], [4096, 1] 2025-09-07T09:23:26.4042807Z dtypes: torch.float16, torch.float16 2025-09-07T09:23:26.4043892Z triton_mm_3713 0.0110 ms 100.0% 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 2025-09-07T09:23:26.4044949Z mm 0.0112 ms 98.3% 2025-09-07T09:23:26.4045921Z triton_mm_3717 0.0117 ms 93.5% 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 2025-09-07T09:23:26.4047882Z triton_mm_3723 0.0132 ms 83.3% 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 2025-09-07T09:23:26.4049230Z triton_mm_3712 0.0134 ms 81.7% 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 2025-09-07T09:23:26.4050154Z triton_mm_3709 0.0136 ms 80.7% 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 2025-09-07T09:23:26.4051081Z triton_mm_3716 0.0139 ms 79.0% 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 2025-09-07T09:23:26.4051993Z triton_mm_3708 0.0144 ms 76.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:23:26.4052904Z triton_mm_3715 0.0151 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=4, num_warps=8 2025-09-07T09:23:26.4053815Z triton_mm_3719 0.0151 ms 72.8% 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 2025-09-07T09:23:26.4054621Z SingleProcess AUTOTUNE benchmarking takes 0.2263 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:23:31.2435645Z Autotune Choices Stats: 2025-09-07T09:23:31.2437077Z {"num_choices": 30, "num_triton_choices": 19, "best_kernel": "decompose_k_mm_3_split_1", "best_kernel_desc": "k_split=3", "best_time": 0.114656001329422, "best_triton_pos": 6, "best_triton_time": 0.2535359859466553, "best_triton_kernel": "triton_mm_3690", "best_triton_kernel_desc": "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"} 2025-09-07T09:23:31.2524159Z AUTOTUNE mm(128x128112, 128112x1024) 2025-09-07T09:23:31.2524515Z strides: [128128, 1], [1024, 1] 2025-09-07T09:23:31.2524791Z dtypes: torch.float16, torch.float16 2025-09-07T09:23:31.2525125Z decompose_k_mm_3_split_1 0.1147 ms 100.0% k_split=3 2025-09-07T09:23:31.2525430Z mm 0.1228 ms 93.4% 2025-09-07T09:23:31.2525688Z decompose_k_mm_6_split_3 0.1456 ms 78.8% k_split=6 2025-09-07T09:23:31.2526039Z decompose_k_mm_2_split_0 0.1733 ms 66.2% k_split=2 2025-09-07T09:23:31.2526397Z decompose_k_mm_17_split_7 0.2093 ms 54.8% k_split=17 2025-09-07T09:23:31.2526742Z decompose_k_mm_34_split_9 0.2214 ms 51.8% k_split=34 2025-09-07T09:23:31.2527678Z triton_mm_3690 0.2535 ms 45.2% 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 2025-09-07T09:23:31.2528381Z decompose_k_mm_24_split_8 0.2666 ms 43.0% k_split=24 2025-09-07T09:23:31.2528723Z decompose_k_mm_12_split_5 0.3169 ms 36.2% k_split=12 2025-09-07T09:23:31.2529065Z decompose_k_mm_4_split_2 0.3489 ms 32.9% k_split=4 2025-09-07T09:23:31.2530174Z SingleProcess AUTOTUNE benchmarking takes 3.8982 seconds and 0.0002 seconds precompiling for 30 choices 2025-09-07T09:23:31.5258393Z Autotune Choices Stats: 2025-09-07T09:23:31.5259826Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.013439999893307686, "best_triton_pos": 1, "best_triton_time": 0.015039999969303608, "best_triton_kernel": "triton_mm_3747", "best_triton_kernel_desc": "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"} 2025-09-07T09:23:31.5541598Z AUTOTUNE mm(128x4096, 4096x1024) 2025-09-07T09:23:31.5541874Z strides: [4096, 1], [1024, 1] 2025-09-07T09:23:31.5542122Z dtypes: torch.float16, torch.float16 2025-09-07T09:23:31.5542389Z mm 0.0134 ms 100.0% 2025-09-07T09:23:31.5542984Z triton_mm_3747 0.0150 ms 89.4% 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 2025-09-07T09:23:31.5544017Z triton_mm_3751 0.0155 ms 86.8% 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 2025-09-07T09:23:31.5545017Z triton_mm_3755 0.0191 ms 70.4% 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 2025-09-07T09:23:31.5546008Z triton_mm_3761 0.0284 ms 47.3% 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 2025-09-07T09:23:31.5546985Z triton_mm_3746 0.0294 ms 45.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:23:31.5548390Z triton_mm_3745 0.0296 ms 45.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:23:31.5549375Z triton_mm_3754 0.0308 ms 43.7% 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 2025-09-07T09:23:31.5550335Z triton_mm_3750 0.0314 ms 42.8% 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 2025-09-07T09:23:31.5551241Z triton_mm_3760 0.0338 ms 39.8% 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 2025-09-07T09:23:31.5552055Z SingleProcess AUTOTUNE benchmarking takes 0.2928 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:23:31.7499325Z Autotune Choices Stats: 2025-09-07T09:23:31.7500438Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_3785", "best_kernel_desc": "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", "best_time": 0.008736000396311283, "best_triton_pos": 0} 2025-09-07T09:23:31.7698550Z AUTOTUNE mm(128x1024, 1024x1024) 2025-09-07T09:23:31.7698881Z strides: [1024, 1], [1024, 1] 2025-09-07T09:23:31.7699159Z dtypes: torch.float16, torch.float16 2025-09-07T09:23:31.7699999Z triton_mm_3785 0.0087 ms 100.0% 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 2025-09-07T09:23:31.7700632Z mm 0.0090 ms 96.8% 2025-09-07T09:23:31.7701230Z triton_mm_3789 0.0091 ms 95.8% 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 2025-09-07T09:23:31.7702622Z triton_mm_3793 0.0102 ms 85.8% 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 2025-09-07T09:23:31.7703619Z triton_mm_3784 0.0115 ms 76.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:23:31.7704798Z triton_mm_3783 0.0119 ms 73.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:23:31.7705770Z triton_mm_3788 0.0119 ms 73.2% 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 2025-09-07T09:23:31.7706752Z triton_mm_3792 0.0121 ms 72.0% 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 2025-09-07T09:23:31.7708127Z triton_mm_3799 0.0121 ms 72.0% 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 2025-09-07T09:23:31.7709128Z triton_mm_3791 0.0132 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=4, num_warps=8 2025-09-07T09:23:31.7710003Z SingleProcess AUTOTUNE benchmarking takes 0.2140 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:23:38.2949820Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T09:23:38.2950918Z pred = mod(**cloned_inputs) 2025-09-07T09:23:38.2951552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 1404, in forward 2025-09-07T09:23:38.2952305Z outputs = self.model( 2025-09-07T09:23:38.2953027Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 1279, in forward 2025-09-07T09:23:38.2953688Z decoder_outputs = self.decoder( 2025-09-07T09:23:38.2954322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 1044, in forward 2025-09-07T09:23:38.2955012Z inputs_embeds = self.embed_tokens(input_ids) 2025-09-07T09:23:38.2955663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 96, in forward 2025-09-07T09:23:38.2956340Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:23:38.2956596Z 2025-09-07T09:23:38.2956601Z 2025-09-07T09:23:39.8622714Z pass 2025-09-07T09:23:46.6603079Z /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. 2025-09-07T09:23:46.6604404Z import pynvml # type: ignore[import] 2025-09-07T09:23:49.9461403Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:23:49.9462535Z from pkg_resources import resource_filename 2025-09-07T09:23:50.8025124Z 2025-09-07T09:23:54.3905586Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:23:54.3905902Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:23:54.3906152Z cuda train MBartForCausalLM 2025-09-07T09:24:06.9712089Z Autotune Choices Stats: 2025-09-07T09:24:06.9713797Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_93", "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": 0.020287999883294106, "best_triton_pos": 0} 2025-09-07T09:24:07.0177768Z AUTOTUNE addmm(1024x4096, 1024x1024, 1024x4096) 2025-09-07T09:24:07.0178103Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T09:24:07.0178735Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:24:07.0179458Z triton_mm_93 0.0203 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 2025-09-07T09:24:07.0180140Z bias_addmm 0.0205 ms 98.9% 2025-09-07T09:24:07.0180848Z triton_mm_94 0.0233 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=5, num_warps=8 2025-09-07T09:24:07.0181774Z triton_mm_92 0.0248 ms 81.7% 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 2025-09-07T09:24:07.0182676Z triton_mm_87 0.0254 ms 79.7% 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 2025-09-07T09:24:07.0183577Z triton_mm_85 0.0281 ms 72.3% 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 2025-09-07T09:24:07.0184475Z triton_mm_86 0.0294 ms 69.0% 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 2025-09-07T09:24:07.0185362Z triton_mm_88 0.0296 ms 68.5% 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 2025-09-07T09:24:07.0186263Z triton_mm_89 0.0296 ms 68.5% 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 2025-09-07T09:24:07.0186831Z addmm 0.0298 ms 68.1% 2025-09-07T09:24:07.0187421Z SingleProcess AUTOTUNE benchmarking takes 0.3443 seconds and 3.0902 seconds precompiling for 21 choices 2025-09-07T09:24:12.6546194Z Autotune Choices Stats: 2025-09-07T09:24:12.6547632Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_12", "best_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", "best_time": 0.011807999573647976, "best_triton_pos": 0} 2025-09-07T09:24:12.6937913Z AUTOTUNE mm(1024x1024, 1024x1024) 2025-09-07T09:24:12.6938478Z strides: [1024, 1], [1, 1024] 2025-09-07T09:24:12.6938925Z dtypes: torch.float16, torch.float16 2025-09-07T09:24:12.6940021Z triton_mm_12 0.0118 ms 100.0% 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 2025-09-07T09:24:12.6941096Z mm 0.0119 ms 98.9% 2025-09-07T09:24:12.6942084Z triton_mm_18 0.0135 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=5, num_warps=8 2025-09-07T09:24:12.6943657Z triton_mm_7 0.0139 ms 85.2% 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 2025-09-07T09:24:12.6944621Z triton_mm_11 0.0139 ms 85.2% 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 2025-09-07T09:24:12.6945583Z triton_mm_8 0.0139 ms 85.0% 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 2025-09-07T09:24:12.6946965Z triton_mm_17 0.0148 ms 79.5% 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 2025-09-07T09:24:12.6948154Z triton_mm_10 0.0152 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 2025-09-07T09:24:12.6949341Z triton_mm_14 0.0152 ms 77.5% 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=4, num_warps=8 2025-09-07T09:24:12.6950299Z triton_mm_9 0.0186 ms 63.4% 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 2025-09-07T09:24:12.6951147Z SingleProcess AUTOTUNE benchmarking takes 0.7199 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:24:12.9955962Z Autotune Choices Stats: 2025-09-07T09:24:12.9958493Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.01196799986064434, "best_triton_pos": 1, "best_triton_time": 0.012319999746978283, "best_triton_kernel": "triton_mm_69", "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"} 2025-09-07T09:24:13.0203595Z AUTOTUNE addmm(1024x1024, 1024x1024, 1024x1024) 2025-09-07T09:24:13.0203938Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T09:24:13.0204259Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:24:13.0204592Z bias_addmm 0.0120 ms 100.0% 2025-09-07T09:24:13.0205242Z triton_mm_69 0.0123 ms 97.1% 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 2025-09-07T09:24:13.0206228Z triton_mm_64 0.0140 ms 85.6% 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 2025-09-07T09:24:13.0207195Z triton_mm_68 0.0141 ms 84.8% 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 2025-09-07T09:24:13.0208310Z triton_mm_65 0.0143 ms 83.7% 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 2025-09-07T09:24:13.0209289Z triton_mm_75 0.0144 ms 82.9% 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 2025-09-07T09:24:13.0210254Z triton_mm_74 0.0158 ms 75.7% 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 2025-09-07T09:24:13.0211213Z triton_mm_71 0.0159 ms 75.3% 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 2025-09-07T09:24:13.0212200Z triton_mm_67 0.0162 ms 74.1% 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 2025-09-07T09:24:13.0212784Z addmm 0.0163 ms 73.3% 2025-09-07T09:24:13.0213208Z SingleProcess AUTOTUNE benchmarking takes 0.3247 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T09:24:14.0142058Z Autotune Choices Stats: 2025-09-07T09:24:14.0143309Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.02175999991595745, "best_triton_pos": 1, "best_triton_time": 0.02364799939095974, "best_triton_kernel": "triton_mm_107", "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"} 2025-09-07T09:24:14.0297870Z AUTOTUNE addmm(1024x1024, 1024x4096, 4096x1024) 2025-09-07T09:24:14.0298401Z strides: [0, 1], [4096, 1], [1, 4096] 2025-09-07T09:24:14.0299468Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:24:14.0300018Z bias_addmm 0.0218 ms 100.0% 2025-09-07T09:24:14.0301070Z triton_mm_107 0.0236 ms 92.0% 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 2025-09-07T09:24:14.0302393Z addmm 0.0266 ms 81.9% 2025-09-07T09:24:14.0303460Z triton_mm_113 0.0297 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 2025-09-07T09:24:14.0311602Z triton_mm_103 0.0301 ms 72.3% 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 2025-09-07T09:24:14.0312715Z triton_mm_106 0.0372 ms 58.5% 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 2025-09-07T09:24:14.0313648Z triton_mm_102 0.0372 ms 58.4% 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=3, num_warps=8 2025-09-07T09:24:14.0314519Z triton_mm_112 0.0400 ms 54.4% 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 2025-09-07T09:24:14.0315396Z triton_mm_109 0.0452 ms 48.2% 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 2025-09-07T09:24:14.0316247Z triton_mm_105 0.0454 ms 48.0% 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 2025-09-07T09:24:14.0316990Z SingleProcess AUTOTUNE benchmarking takes 1.0086 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T09:24:21.7186688Z Autotune Choices Stats: 2025-09-07T09:24:21.7188237Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.15904000401496887, "best_triton_pos": 1, "best_triton_time": 0.18479999899864197, "best_triton_kernel": "triton_mm_131", "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"} 2025-09-07T09:24:21.8329935Z AUTOTUNE mm(1024x1024, 1024x50272) 2025-09-07T09:24:21.8330248Z strides: [1024, 1], [50304, 1] 2025-09-07T09:24:21.8330541Z dtypes: torch.float16, torch.float16 2025-09-07T09:24:21.8330829Z mm 0.1590 ms 100.0% 2025-09-07T09:24:21.8331471Z triton_mm_131 0.1848 ms 86.1% 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 2025-09-07T09:24:21.8332505Z triton_mm_130 0.1948 ms 81.6% 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 2025-09-07T09:24:21.8333504Z triton_mm_132 0.2035 ms 78.2% 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 2025-09-07T09:24:21.8334527Z triton_mm_125 0.2541 ms 62.6% 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 2025-09-07T09:24:21.8335637Z triton_mm_123 0.2766 ms 57.5% 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 2025-09-07T09:24:21.8336495Z triton_mm_126 0.2774 ms 57.3% 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 2025-09-07T09:24:21.8338190Z triton_mm_124 0.2826 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 2025-09-07T09:24:21.8339104Z triton_mm_128 0.2914 ms 54.6% 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 2025-09-07T09:24:21.8340157Z triton_mm_127 0.2918 ms 54.5% 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 2025-09-07T09:24:21.8340909Z SingleProcess AUTOTUNE benchmarking takes 1.8327 seconds and 1.3044 seconds precompiling for 20 choices 2025-09-07T09:24:28.5263807Z Autotune Choices Stats: 2025-09-07T09:24:28.5265168Z {"num_choices": 25, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.14876799285411835, "best_triton_pos": 3, "best_triton_time": 0.2038400024175644, "best_triton_kernel": "triton_mm_164", "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"} 2025-09-07T09:24:28.5515106Z AUTOTUNE mm(1024x50272, 50272x1024) 2025-09-07T09:24:28.5515377Z strides: [50304, 1], [1024, 1] 2025-09-07T09:24:28.5515644Z dtypes: torch.float16, torch.float16 2025-09-07T09:24:28.5515902Z mm 0.1488 ms 100.0% 2025-09-07T09:24:28.5516155Z decompose_k_mm_4_split_1 0.1504 ms 98.9% k_split=4 2025-09-07T09:24:28.5516481Z decompose_k_mm_2_split_0 0.1511 ms 98.4% k_split=2 2025-09-07T09:24:28.5517213Z triton_mm_164 0.2038 ms 73.0% 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 2025-09-07T09:24:28.5518791Z triton_mm_170 0.2995 ms 49.7% 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 2025-09-07T09:24:28.5519816Z triton_mm_160 0.3149 ms 47.2% 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 2025-09-07T09:24:28.5520817Z triton_mm_163 0.3198 ms 46.5% 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 2025-09-07T09:24:28.5521829Z triton_mm_159 0.3355 ms 44.3% 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 2025-09-07T09:24:28.5522857Z triton_mm_169 0.3720 ms 40.0% 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 2025-09-07T09:24:28.5523859Z triton_mm_162 0.3748 ms 39.7% 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 2025-09-07T09:24:28.5524743Z SingleProcess AUTOTUNE benchmarking takes 2.7033 seconds and 0.5439 seconds precompiling for 25 choices 2025-09-07T09:24:29.7023823Z Autotune Choices Stats: 2025-09-07T09:24:29.7025157Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.15465599298477173, "best_triton_pos": 1, "best_triton_time": 0.18873600661754608, "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=3, num_warps=4"} 2025-09-07T09:24:29.7689381Z AUTOTUNE mm(50272x1024, 1024x1024) 2025-09-07T09:24:29.7689692Z strides: [1024, 1], [1024, 1] 2025-09-07T09:24:29.7689963Z dtypes: torch.float16, torch.float16 2025-09-07T09:24:29.7690248Z mm 0.1547 ms 100.0% 2025-09-07T09:24:29.7690876Z triton_mm_150 0.1887 ms 81.9% 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 2025-09-07T09:24:29.7692359Z triton_mm_149 0.1942 ms 79.6% 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 2025-09-07T09:24:29.7693374Z triton_mm_151 0.2016 ms 76.7% 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 2025-09-07T09:24:29.7694592Z triton_mm_145 0.2569 ms 60.2% 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 2025-09-07T09:24:29.7695691Z triton_mm_144 0.2573 ms 60.1% 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 2025-09-07T09:24:29.7696654Z triton_mm_142 0.2577 ms 60.0% 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=3, num_warps=4 2025-09-07T09:24:29.7698070Z triton_mm_143 0.2765 ms 55.9% 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 2025-09-07T09:24:29.7698942Z triton_mm_146 0.2868 ms 53.9% 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 2025-09-07T09:24:29.7699789Z triton_mm_147 0.2897 ms 53.4% 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 2025-09-07T09:24:29.7700534Z SingleProcess AUTOTUNE benchmarking takes 1.1830 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:24:35.9580818Z Autotune Choices Stats: 2025-09-07T09:24:35.9584127Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01926399953663349, "best_triton_pos": 1, "best_triton_time": 0.019648000597953796, "best_triton_kernel": "triton_mm_207", "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"} 2025-09-07T09:24:36.0266949Z AUTOTUNE mm(1024x1024, 1024x4096) 2025-09-07T09:24:36.0267725Z strides: [1, 1024], [4096, 1] 2025-09-07T09:24:36.0268077Z dtypes: torch.float16, torch.float16 2025-09-07T09:24:36.0268441Z mm 0.0193 ms 100.0% 2025-09-07T09:24:36.0269262Z triton_mm_207 0.0196 ms 98.0% 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 2025-09-07T09:24:36.0270641Z triton_mm_204 0.0206 ms 93.3% 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 2025-09-07T09:24:36.0272049Z triton_mm_200 0.0207 ms 93.2% 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=4, num_warps=8 2025-09-07T09:24:36.0273414Z triton_mm_199 0.0216 ms 89.1% 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 2025-09-07T09:24:36.0274794Z triton_mm_208 0.0217 ms 88.7% 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 2025-09-07T09:24:36.0276159Z triton_mm_206 0.0219 ms 87.9% 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 2025-09-07T09:24:36.0277685Z triton_mm_203 0.0227 ms 84.8% 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 2025-09-07T09:24:36.0279653Z triton_mm_201 0.0247 ms 77.9% 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 2025-09-07T09:24:36.0280839Z triton_mm_202 0.0280 ms 68.9% 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 2025-09-07T09:24:36.0282048Z SingleProcess AUTOTUNE benchmarking takes 0.6820 seconds and 0.0005 seconds precompiling for 20 choices 2025-09-07T09:24:36.9583094Z Autotune Choices Stats: 2025-09-07T09:24:36.9584866Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.018848000094294548, "best_triton_pos": 1, "best_triton_time": 0.019840000197291374, "best_triton_kernel": "triton_mm_245", "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"} 2025-09-07T09:24:36.9740573Z AUTOTUNE mm(4096x1024, 1024x1024) 2025-09-07T09:24:36.9740996Z strides: [1, 4096], [1024, 1] 2025-09-07T09:24:36.9741341Z dtypes: torch.float16, torch.float16 2025-09-07T09:24:36.9741695Z mm 0.0188 ms 100.0% 2025-09-07T09:24:36.9742511Z triton_mm_245 0.0198 ms 95.0% 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 2025-09-07T09:24:36.9743909Z triton_mm_238 0.0212 ms 88.8% 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=4, num_warps=8 2025-09-07T09:24:36.9745273Z triton_mm_246 0.0217 ms 87.0% 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 2025-09-07T09:24:36.9746634Z triton_mm_242 0.0218 ms 86.4% 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 2025-09-07T09:24:36.9748406Z triton_mm_237 0.0220 ms 85.9% 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 2025-09-07T09:24:36.9749775Z triton_mm_244 0.0220 ms 85.6% 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 2025-09-07T09:24:36.9751140Z triton_mm_241 0.0227 ms 83.0% 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 2025-09-07T09:24:36.9752485Z triton_mm_239 0.0258 ms 73.2% 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 2025-09-07T09:24:36.9753849Z triton_mm_240 0.0278 ms 67.7% 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 2025-09-07T09:24:36.9755043Z SingleProcess AUTOTUNE benchmarking takes 0.9203 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:24:37.2479049Z Autotune Choices Stats: 2025-09-07T09:24:37.2481161Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.019007999449968338, "best_triton_pos": 1, "best_triton_time": 0.01958400011062622, "best_triton_kernel": "triton_mm_188", "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"} 2025-09-07T09:24:37.4422072Z AUTOTUNE mm(1024x1024, 1024x4096) 2025-09-07T09:24:37.4422449Z strides: [1024, 1], [4096, 1] 2025-09-07T09:24:37.4422750Z dtypes: torch.float16, torch.float16 2025-09-07T09:24:37.4423041Z mm 0.0190 ms 100.0% 2025-09-07T09:24:37.7413562Z triton_mm_188 0.0196 ms 97.1% 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 2025-09-07T09:24:37.7415722Z triton_mm_180 0.0220 ms 86.6% 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 2025-09-07T09:24:37.7418457Z triton_mm_189 0.0220 ms 86.6% 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 2025-09-07T09:24:37.7420286Z triton_mm_187 0.0225 ms 84.4% 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 2025-09-07T09:24:37.7421757Z triton_mm_181 0.0239 ms 79.4% 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 2025-09-07T09:24:37.7422741Z triton_mm_182 0.0243 ms 78.2% 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 2025-09-07T09:24:37.7423708Z triton_mm_184 0.0254 ms 74.8% 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 2025-09-07T09:24:37.7424698Z triton_mm_183 0.0279 ms 68.2% 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 2025-09-07T09:24:37.7425680Z triton_mm_185 0.0287 ms 66.1% 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=4, num_warps=8 2025-09-07T09:24:37.7426535Z SingleProcess AUTOTUNE benchmarking takes 0.4453 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:24:38.4926940Z Autotune Choices Stats: 2025-09-07T09:24:38.4928593Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011168000288307667, "best_triton_pos": 1, "best_triton_time": 0.011327999643981457, "best_triton_kernel": "triton_mm_278", "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"} 2025-09-07T09:24:38.5214173Z AUTOTUNE mm(1024x1024, 1024x1024) 2025-09-07T09:24:38.5214618Z strides: [1, 1024], [1024, 1] 2025-09-07T09:24:38.5215183Z dtypes: torch.float16, torch.float16 2025-09-07T09:24:38.5215594Z mm 0.0112 ms 100.0% 2025-09-07T09:24:38.5216508Z triton_mm_278 0.0113 ms 98.6% 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 2025-09-07T09:24:38.5218261Z triton_mm_284 0.0128 ms 87.0% 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 2025-09-07T09:24:38.5219754Z triton_mm_274 0.0135 ms 82.9% 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 2025-09-07T09:24:38.5221587Z triton_mm_273 0.0137 ms 81.7% 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 2025-09-07T09:24:38.5222892Z triton_mm_277 0.0137 ms 81.7% 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 2025-09-07T09:24:38.5224196Z triton_mm_276 0.0141 ms 79.1% 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 2025-09-07T09:24:38.5225501Z triton_mm_280 0.0144 ms 77.7% 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 2025-09-07T09:24:38.5227118Z triton_mm_283 0.0148 ms 75.4% 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 2025-09-07T09:24:38.5228622Z triton_mm_275 0.0171 ms 65.5% 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 2025-09-07T09:24:38.5229957Z SingleProcess AUTOTUNE benchmarking takes 0.4708 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:24:40.8725748Z Autotune Choices Stats: 2025-09-07T09:24:40.8727074Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.02035200037062168, "best_triton_pos": 1, "best_triton_time": 0.022016000002622604, "best_triton_kernel": "triton_mm_221", "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"} 2025-09-07T09:24:40.8924364Z AUTOTUNE mm(1024x4096, 4096x1024) 2025-09-07T09:24:40.8924872Z strides: [4096, 1], [1024, 1] 2025-09-07T09:24:40.8925156Z dtypes: torch.float16, torch.float16 2025-09-07T09:24:40.8925443Z mm 0.0204 ms 100.0% 2025-09-07T09:24:40.8926082Z triton_mm_221 0.0220 ms 92.4% 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 2025-09-07T09:24:40.8927140Z triton_mm_217 0.0283 ms 72.0% 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 2025-09-07T09:24:40.8928359Z triton_mm_227 0.0296 ms 68.7% 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 2025-09-07T09:24:40.8929348Z triton_mm_220 0.0350 ms 58.1% 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 2025-09-07T09:24:40.8930342Z triton_mm_216 0.0358 ms 56.9% 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 2025-09-07T09:24:40.8931413Z triton_mm_226 0.0382 ms 53.3% 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 2025-09-07T09:24:40.8932369Z triton_mm_219 0.0408 ms 49.9% 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 2025-09-07T09:24:40.8933283Z triton_mm_223 0.0416 ms 49.0% 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 2025-09-07T09:24:40.8934189Z triton_mm_213 0.0484 ms 42.1% 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 2025-09-07T09:24:40.8935074Z SingleProcess AUTOTUNE benchmarking takes 0.5596 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:24:41.3096896Z Autotune Choices Stats: 2025-09-07T09:24:41.3098501Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010816000401973724, "best_triton_pos": 1, "best_triton_time": 0.011264000087976456, "best_triton_kernel": "triton_mm_259", "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"} 2025-09-07T09:24:41.4301610Z AUTOTUNE mm(1024x1024, 1024x1024) 2025-09-07T09:24:41.4302163Z strides: [1024, 1], [1024, 1] 2025-09-07T09:24:41.4302442Z dtypes: torch.float16, torch.float16 2025-09-07T09:24:41.4302732Z mm 0.0108 ms 100.0% 2025-09-07T09:24:41.4303732Z triton_mm_259 0.0113 ms 96.0% 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 2025-09-07T09:24:41.4304826Z triton_mm_254 0.0132 ms 81.6% 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 2025-09-07T09:24:41.4306078Z triton_mm_258 0.0135 ms 80.3% 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 2025-09-07T09:24:41.4307137Z triton_mm_255 0.0135 ms 79.9% 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 2025-09-07T09:24:41.4308366Z triton_mm_265 0.0136 ms 79.7% 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 2025-09-07T09:24:41.4309429Z triton_mm_257 0.0146 ms 74.1% 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 2025-09-07T09:24:41.4310503Z triton_mm_261 0.0151 ms 71.8% 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 2025-09-07T09:24:41.4311573Z triton_mm_264 0.0151 ms 71.5% 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 2025-09-07T09:24:41.4312584Z triton_mm_256 0.0175 ms 61.9% 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 2025-09-07T09:24:41.4313377Z SingleProcess AUTOTUNE benchmarking takes 0.5367 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:24:43.3633428Z 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/transformers/models/mbart/modeling_mbart.py", line 107, in forward 2025-09-07T09:24:43.3635032Z return super().forward(position_ids + self.offset) 2025-09-07T09:24:43.3635374Z 2025-09-07T09:24:43.3635378Z 2025-09-07T09:24:44.1618133Z 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/transformers/models/mbart/modeling_mbart.py", line 121, in forward 2025-09-07T09:24:44.1619387Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:24:44.1619665Z 2025-09-07T09:24:44.1619670Z 2025-09-07T09:24:45.2408373Z pass 2025-09-07T09:24:49.1722461Z /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. 2025-09-07T09:24:49.1725014Z import pynvml # type: ignore[import] 2025-09-07T09:24:52.4846859Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:24:52.4849410Z from pkg_resources import resource_filename 2025-09-07T09:24:53.3383353Z 2025-09-07T09:24:59.1659083Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:24:59.1659446Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:24:59.1659763Z cuda train MBartForConditionalGeneration 2025-09-07T09:25:04.3330314Z 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/transformers/models/mbart/modeling_mbart.py", line 121, in forward 2025-09-07T09:25:04.3332503Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:25:04.3332864Z 2025-09-07T09:25:04.3332868Z 2025-09-07T09:25:12.9098048Z 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/transformers/models/mbart/modeling_mbart.py", line 107, in forward 2025-09-07T09:25:12.9099866Z return super().forward(position_ids + self.offset) 2025-09-07T09:25:12.9100131Z 2025-09-07T09:25:12.9100146Z 2025-09-07T09:25:37.4218496Z 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/transformers/models/mbart/modeling_mbart.py", line 107, in forward 2025-09-07T09:25:37.4220317Z return super().forward(position_ids + self.offset) 2025-09-07T09:25:37.4220600Z 2025-09-07T09:25:37.4220604Z 2025-09-07T09:25:40.0516413Z pass 2025-09-07T09:25:43.8856532Z /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. 2025-09-07T09:25:43.8858210Z import pynvml # type: ignore[import] 2025-09-07T09:25:47.2201425Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:25:47.2202974Z from pkg_resources import resource_filename 2025-09-07T09:25:48.2170161Z 2025-09-07T09:25:52.7451672Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:25:52.7451991Z loading model: 0it [00:04, ?it/s] 2025-09-07T09:25:52.7452269Z cuda train MT5ForConditionalGeneration 2025-09-07T09:26:25.7276112Z Autotune Choices Stats: 2025-09-07T09:26:25.7278358Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_136", "best_kernel_desc": "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", "best_time": 0.007615999784320593, "best_triton_pos": 0} 2025-09-07T09:26:25.7292380Z AUTOTUNE mm(128x512, 512x1024) 2025-09-07T09:26:25.7292611Z strides: [512, 1], [1, 512] 2025-09-07T09:26:25.7292835Z dtypes: torch.float16, torch.float16 2025-09-07T09:26:25.7293425Z triton_mm_136 0.0076 ms 100.0% 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 2025-09-07T09:26:25.7294313Z triton_mm_140 0.0080 ms 95.6% 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 2025-09-07T09:26:25.7295289Z triton_mm_144 0.0087 ms 87.5% 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 2025-09-07T09:26:25.7296105Z triton_mm_135 0.0091 ms 84.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:26:25.7296899Z triton_mm_134 0.0093 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:26:25.7297844Z triton_mm_139 0.0093 ms 81.8% 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 2025-09-07T09:26:25.7298637Z triton_mm_133 0.0094 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:26:25.7299861Z triton_mm_143 0.0097 ms 78.8% 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 2025-09-07T09:26:25.7300689Z triton_mm_150 0.0099 ms 77.3% 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 2025-09-07T09:26:25.7301676Z triton_mm_149 0.0104 ms 73.5% 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 2025-09-07T09:26:25.7302382Z SingleProcess AUTOTUNE benchmarking takes 0.7659 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:26:29.0410316Z Autotune Choices Stats: 2025-09-07T09:26:29.0411825Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_4", "best_kernel_desc": "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", "best_time": 0.008320000022649765, "best_triton_pos": 0} 2025-09-07T09:26:29.0793783Z AUTOTUNE mm(128x512, 512x384) 2025-09-07T09:26:29.0794231Z strides: [512, 1], [1, 512] 2025-09-07T09:26:29.0794617Z dtypes: torch.float16, torch.float16 2025-09-07T09:26:29.0795638Z triton_mm_4 0.0083 ms 100.0% 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 2025-09-07T09:26:29.0796586Z mm 0.0084 ms 98.9% 2025-09-07T09:26:29.0797946Z triton_mm_8 0.0087 ms 95.6% 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 2025-09-07T09:26:29.0799426Z triton_mm_3 0.0092 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:26:29.0800908Z triton_mm_12 0.0094 ms 88.1% 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 2025-09-07T09:26:29.0802376Z triton_mm_11 0.0095 ms 87.5% 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 2025-09-07T09:26:29.0803832Z triton_mm_7 0.0097 ms 85.5% 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 2025-09-07T09:26:29.0805286Z triton_mm_1 0.0099 ms 84.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:26:29.0806748Z triton_mm_2 0.0100 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:26:29.0808412Z triton_mm_14 0.0104 ms 80.2% 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 2025-09-07T09:26:29.0809704Z SingleProcess AUTOTUNE benchmarking takes 0.5833 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:26:29.6662724Z Autotune Choices Stats: 2025-09-07T09:26:29.6664147Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_58", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.006175999995321035, "best_triton_pos": 0} 2025-09-07T09:26:29.6945045Z AUTOTUNE bmm(6x128x64, 6x64x128) 2025-09-07T09:26:29.6945542Z strides: [64, 384, 1], [64, 1, 384] 2025-09-07T09:26:29.6945940Z dtypes: torch.float16, torch.float16 2025-09-07T09:26:29.6948084Z triton_bmm_58 0.0062 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:26:29.6949570Z triton_bmm_60 0.0065 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:26:29.6951381Z triton_bmm_59 0.0065 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:26:29.6952805Z triton_bmm_61 0.0066 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:26:29.6954204Z triton_bmm_65 0.0066 ms 93.2% 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=5, num_warps=4 2025-09-07T09:26:29.6955677Z triton_bmm_64 0.0069 ms 89.8% 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 2025-09-07T09:26:29.6957154Z triton_bmm_68 0.0069 ms 89.4% 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 2025-09-07T09:26:29.6958846Z triton_bmm_69 0.0071 ms 86.5% 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=4, num_warps=4 2025-09-07T09:26:29.6960285Z triton_bmm_67 0.0072 ms 85.8% 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=4, num_warps=8 2025-09-07T09:26:29.6961719Z triton_bmm_66 0.0073 ms 84.3% 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 2025-09-07T09:26:29.6963003Z SingleProcess AUTOTUNE benchmarking takes 0.6130 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:26:29.9781437Z Autotune Choices Stats: 2025-09-07T09:26:29.9782952Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_77", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.0066559999249875546, "best_triton_pos": 0} 2025-09-07T09:26:29.9932585Z AUTOTUNE bmm(6x128x128, 6x128x64) 2025-09-07T09:26:29.9933043Z strides: [16384, 128, 1], [64, 384, 1] 2025-09-07T09:26:29.9933461Z dtypes: torch.float16, torch.float16 2025-09-07T09:26:29.9934445Z triton_bmm_77 0.0067 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:26:29.9936038Z triton_bmm_87 0.0067 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 2025-09-07T09:26:29.9938027Z triton_bmm_83 0.0067 ms 99.5% 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 2025-09-07T09:26:29.9939492Z triton_bmm_79 0.0067 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:26:29.9940964Z triton_bmm_78 0.0068 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:26:29.9942343Z triton_bmm_85 0.0069 ms 95.9% 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 2025-09-07T09:26:29.9944267Z triton_bmm_86 0.0070 ms 95.4% 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 2025-09-07T09:26:29.9945716Z triton_bmm_93 0.0070 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 2025-09-07T09:26:29.9946928Z bmm 0.0071 ms 93.3% 2025-09-07T09:26:29.9947986Z triton_bmm_90 0.0071 ms 93.3% 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 2025-09-07T09:26:29.9949242Z SingleProcess AUTOTUNE benchmarking takes 0.2982 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:26:30.3610304Z Autotune Choices Stats: 2025-09-07T09:26:30.3611796Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_98", "best_kernel_desc": "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", "best_time": 0.007327999919652939, "best_triton_pos": 0} 2025-09-07T09:26:30.4567074Z AUTOTUNE mm(128x384, 384x512) 2025-09-07T09:26:30.4567689Z strides: [384, 1], [1, 384] 2025-09-07T09:26:30.4568078Z dtypes: torch.float16, torch.float16 2025-09-07T09:26:30.4569009Z triton_mm_98 0.0073 ms 100.0% 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 2025-09-07T09:26:30.4569928Z mm 0.0074 ms 99.1% 2025-09-07T09:26:30.4570778Z triton_mm_102 0.0074 ms 98.7% 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 2025-09-07T09:26:30.4572168Z triton_mm_101 0.0082 ms 89.8% 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 2025-09-07T09:26:30.4573624Z triton_mm_106 0.0082 ms 89.5% 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 2025-09-07T09:26:30.4575175Z triton_mm_95 0.0083 ms 88.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:26:30.4576571Z triton_mm_96 0.0083 ms 88.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:26:30.4578234Z triton_mm_97 0.0084 ms 87.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:26:30.4579736Z triton_mm_105 0.0084 ms 87.4% 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 2025-09-07T09:26:30.4581242Z triton_mm_108 0.0089 ms 82.7% 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 2025-09-07T09:26:30.4582537Z SingleProcess AUTOTUNE benchmarking takes 0.4629 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:26:30.6839078Z Autotune Choices Stats: 2025-09-07T09:26:30.6948041Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_155", "best_kernel_desc": "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", "best_time": 0.008511999621987343, "best_triton_pos": 0} 2025-09-07T09:26:30.6949541Z AUTOTUNE mm(128x1024, 1024x512) 2025-09-07T09:26:30.6949890Z strides: [1024, 1], [1, 1024] 2025-09-07T09:26:30.6950251Z dtypes: torch.float16, torch.float16 2025-09-07T09:26:30.6951162Z triton_mm_155 0.0085 ms 100.0% 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 2025-09-07T09:26:30.6953115Z triton_mm_159 0.0089 ms 95.7% 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 2025-09-07T09:26:30.6954005Z mm 0.0090 ms 94.3% 2025-09-07T09:26:30.6955199Z triton_mm_163 0.0102 ms 83.4% 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 2025-09-07T09:26:30.6956642Z triton_mm_154 0.0116 ms 73.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:26:30.6958288Z triton_mm_158 0.0117 ms 72.9% 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 2025-09-07T09:26:30.6959680Z triton_mm_153 0.0120 ms 71.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:26:30.6961115Z triton_mm_169 0.0121 ms 70.6% 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 2025-09-07T09:26:30.6962564Z triton_mm_162 0.0124 ms 68.9% 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 2025-09-07T09:26:30.6964021Z triton_mm_152 0.0124 ms 68.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:26:30.6965306Z SingleProcess AUTOTUNE benchmarking takes 0.2366 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:26:31.7195939Z Autotune Choices Stats: 2025-09-07T09:26:31.7197924Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_3641", "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": 0.1207680031657219, "best_triton_pos": 0} 2025-09-07T09:26:31.8225413Z AUTOTUNE mm(128x512, 512x250112) 2025-09-07T09:26:31.8225850Z strides: [512, 1], [1, 512] 2025-09-07T09:26:31.8226224Z dtypes: torch.float16, torch.float16 2025-09-07T09:26:31.8227193Z triton_mm_3641 0.1208 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 2025-09-07T09:26:31.8229119Z triton_mm_3642 0.1213 ms 99.6% 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 2025-09-07T09:26:31.8230014Z mm 0.1240 ms 97.4% 2025-09-07T09:26:31.8230896Z triton_mm_3635 0.1245 ms 97.0% 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 2025-09-07T09:26:31.8232361Z triton_mm_3631 0.1376 ms 87.8% 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 2025-09-07T09:26:31.8233796Z triton_mm_3640 0.1413 ms 85.5% 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 2025-09-07T09:26:31.8235249Z triton_mm_3636 0.1417 ms 85.2% 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 2025-09-07T09:26:31.8236686Z triton_mm_3638 0.1483 ms 81.5% 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=4, num_warps=8 2025-09-07T09:26:31.8238800Z triton_mm_3637 0.1499 ms 80.6% 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 2025-09-07T09:26:31.8240244Z triton_mm_3634 0.1550 ms 77.9% 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 2025-09-07T09:26:31.8241802Z SingleProcess AUTOTUNE benchmarking takes 1.0227 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:27:06.2048690Z Autotune Choices Stats: 2025-09-07T09:27:06.2050734Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.12495999783277512, "best_triton_pos": 1, "best_triton_time": 0.1528960019350052, "best_triton_kernel": "triton_mm_3652", "best_triton_kernel_desc": "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"} 2025-09-07T09:27:06.2294134Z AUTOTUNE mm(250112x128, 128x512) 2025-09-07T09:27:06.2294417Z strides: [1, 250112], [512, 1] 2025-09-07T09:27:06.2294826Z dtypes: torch.float16, torch.float16 2025-09-07T09:27:06.2295115Z mm 0.1250 ms 100.0% 2025-09-07T09:27:06.2295745Z triton_mm_3652 0.1529 ms 81.7% 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 2025-09-07T09:27:06.2296838Z triton_mm_3659 0.1566 ms 79.8% 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 2025-09-07T09:27:06.2298112Z triton_mm_3656 0.1591 ms 78.5% 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 2025-09-07T09:27:06.2299124Z triton_mm_3660 0.1602 ms 78.0% 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 2025-09-07T09:27:06.2300124Z triton_mm_3657 0.1691 ms 73.9% 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 2025-09-07T09:27:06.2301110Z triton_mm_3653 0.1709 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 2025-09-07T09:27:06.2302097Z triton_mm_3654 0.1726 ms 72.4% 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 2025-09-07T09:27:06.2303095Z triton_mm_3655 0.1748 ms 71.5% 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 2025-09-07T09:27:06.2304094Z triton_mm_3658 0.1789 ms 69.8% 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 2025-09-07T09:27:06.2304969Z SingleProcess AUTOTUNE benchmarking takes 0.9796 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:27:07.8742698Z Autotune Choices Stats: 2025-09-07T09:27:07.8743778Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_3688", "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=8", "best_time": 0.006943999789655209, "best_triton_pos": 0} 2025-09-07T09:27:07.9167994Z AUTOTUNE mm(512x128, 128x1024) 2025-09-07T09:27:07.9168278Z strides: [1, 512], [1024, 1] 2025-09-07T09:27:07.9168548Z dtypes: torch.float16, torch.float16 2025-09-07T09:27:07.9169222Z triton_mm_3688 0.0069 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=8 2025-09-07T09:27:07.9170747Z triton_mm_3689 0.0071 ms 97.3% 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 2025-09-07T09:27:07.9171795Z triton_mm_3692 0.0071 ms 97.3% 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 2025-09-07T09:27:07.9172990Z triton_mm_3691 0.0074 ms 94.3% 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 2025-09-07T09:27:07.9173966Z triton_mm_3693 0.0074 ms 94.3% 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 2025-09-07T09:27:07.9175077Z triton_mm_3695 0.0074 ms 94.3% 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 2025-09-07T09:27:07.9175715Z mm 0.0074 ms 93.9% 2025-09-07T09:27:07.9176304Z triton_mm_3690 0.0074 ms 93.9% 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 2025-09-07T09:27:07.9177707Z triton_mm_3694 0.0075 ms 92.7% 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 2025-09-07T09:27:07.9178631Z triton_mm_3684 0.0075 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:07.9179433Z SingleProcess AUTOTUNE benchmarking takes 0.7912 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:27:08.8723420Z Autotune Choices Stats: 2025-09-07T09:27:08.8724558Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_3726", "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=8", "best_time": 0.00684799998998642, "best_triton_pos": 0} 2025-09-07T09:27:08.8802365Z AUTOTUNE mm(1024x128, 128x512) 2025-09-07T09:27:08.8802659Z strides: [1, 1024], [512, 1] 2025-09-07T09:27:08.8802925Z dtypes: torch.float16, torch.float16 2025-09-07T09:27:08.8803628Z triton_mm_3726 0.0068 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=8 2025-09-07T09:27:08.8804644Z triton_mm_3727 0.0072 ms 95.5% 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 2025-09-07T09:27:08.8805638Z triton_mm_3730 0.0072 ms 95.5% 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 2025-09-07T09:27:08.8806641Z triton_mm_3733 0.0073 ms 93.4% 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 2025-09-07T09:27:08.8808066Z triton_mm_3728 0.0074 ms 93.0% 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=3, num_warps=4 2025-09-07T09:27:08.8809000Z triton_mm_3729 0.0074 ms 93.0% 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 2025-09-07T09:27:08.8809913Z triton_mm_3731 0.0074 ms 93.0% 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 2025-09-07T09:27:08.8810834Z triton_mm_3732 0.0074 ms 92.6% 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 2025-09-07T09:27:08.8812308Z triton_mm_3722 0.0076 ms 90.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:08.8812908Z mm 0.0076 ms 90.3% 2025-09-07T09:27:08.8813320Z SingleProcess AUTOTUNE benchmarking takes 0.7145 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:27:09.7577644Z Autotune Choices Stats: 2025-09-07T09:27:09.7578723Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_3798", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.006719999946653843, "best_triton_pos": 0} 2025-09-07T09:27:09.7976607Z AUTOTUNE mm(512x128, 128x384) 2025-09-07T09:27:09.7976935Z strides: [1, 512], [384, 1] 2025-09-07T09:27:09.7977211Z dtypes: torch.float16, torch.float16 2025-09-07T09:27:09.7978170Z triton_mm_3798 0.0067 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:09.7979184Z triton_mm_3802 0.0067 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=8 2025-09-07T09:27:09.7980185Z triton_mm_3797 0.0069 ms 97.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:09.7981159Z triton_mm_3796 0.0069 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:27:09.7982140Z triton_mm_3803 0.0071 ms 94.6% 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 2025-09-07T09:27:09.7983133Z triton_mm_3806 0.0071 ms 94.2% 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 2025-09-07T09:27:09.7983763Z mm 0.0073 ms 92.5% 2025-09-07T09:27:09.7984356Z triton_mm_3809 0.0073 ms 92.5% 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=4, num_warps=8 2025-09-07T09:27:09.7985345Z triton_mm_3805 0.0073 ms 92.1% 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 2025-09-07T09:27:09.7986313Z triton_mm_3804 0.0073 ms 91.7% 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 2025-09-07T09:27:09.7987168Z SingleProcess AUTOTUNE benchmarking takes 0.2191 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:27:10.7232616Z Autotune Choices Stats: 2025-09-07T09:27:10.7233540Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_3908", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.006719999946653843, "best_triton_pos": 0} 2025-09-07T09:27:10.7368159Z AUTOTUNE mm(384x128, 128x512) 2025-09-07T09:27:10.7368428Z strides: [1, 384], [512, 1] 2025-09-07T09:27:10.7368659Z dtypes: torch.float16, torch.float16 2025-09-07T09:27:10.7369271Z triton_mm_3908 0.0067 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:10.7370216Z triton_mm_3907 0.0068 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:10.7371586Z triton_mm_3912 0.0069 ms 97.7% 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 2025-09-07T09:27:10.7372510Z triton_mm_3913 0.0069 ms 97.2% 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 2025-09-07T09:27:10.7373602Z triton_mm_3916 0.0070 ms 95.9% 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 2025-09-07T09:27:10.7374174Z mm 0.0071 ms 94.6% 2025-09-07T09:27:10.7374813Z triton_mm_3906 0.0071 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:27:10.7375725Z triton_mm_3915 0.0072 ms 93.7% 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 2025-09-07T09:27:10.7376640Z triton_mm_3914 0.0072 ms 93.3% 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 2025-09-07T09:27:10.7377857Z triton_mm_3919 0.0072 ms 92.9% 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 2025-09-07T09:27:10.7378674Z SingleProcess AUTOTUNE benchmarking takes 0.3232 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:27:11.0921188Z Autotune Choices Stats: 2025-09-07T09:27:11.0922303Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_3946", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.006719999946653843, "best_triton_pos": 0} 2025-09-07T09:27:11.1259542Z AUTOTUNE mm(384x128, 128x512) 2025-09-07T09:27:11.1259852Z strides: [128, 1], [512, 1] 2025-09-07T09:27:11.1260124Z dtypes: torch.float16, torch.float16 2025-09-07T09:27:11.1260737Z triton_mm_3946 0.0067 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:11.1261695Z triton_mm_3945 0.0068 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:11.1262640Z triton_mm_3950 0.0069 ms 97.7% 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 2025-09-07T09:27:11.1263555Z triton_mm_3954 0.0070 ms 96.3% 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 2025-09-07T09:27:11.1264470Z triton_mm_3944 0.0071 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:27:11.1265374Z triton_mm_3951 0.0071 ms 94.6% 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 2025-09-07T09:27:11.1266277Z triton_mm_3957 0.0071 ms 94.2% 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 2025-09-07T09:27:11.1267215Z triton_mm_3953 0.0072 ms 93.7% 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 2025-09-07T09:27:11.1268326Z triton_mm_3952 0.0073 ms 92.5% 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 2025-09-07T09:27:11.1269669Z triton_mm_3955 0.0073 ms 92.1% 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 2025-09-07T09:27:11.1270489Z SingleProcess AUTOTUNE benchmarking takes 0.2958 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:27:12.5401965Z Autotune Choices Stats: 2025-09-07T09:27:12.5403249Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.007807999849319458, "best_triton_pos": 1, "best_triton_time": 0.007807999849319458, "best_triton_kernel": "triton_mm_3704", "best_triton_kernel_desc": "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"} 2025-09-07T09:27:12.5809703Z AUTOTUNE mm(128x512, 512x1024) 2025-09-07T09:27:12.5810074Z strides: [512, 1], [1024, 1] 2025-09-07T09:27:12.5810383Z dtypes: torch.float16, torch.float16 2025-09-07T09:27:12.5810692Z mm 0.0078 ms 100.0% 2025-09-07T09:27:12.5811474Z triton_mm_3704 0.0078 ms 100.0% 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 2025-09-07T09:27:12.5812769Z triton_mm_3708 0.0079 ms 98.4% 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 2025-09-07T09:27:12.5814060Z triton_mm_3703 0.0089 ms 87.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:12.5815438Z triton_mm_3712 0.0090 ms 87.1% 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 2025-09-07T09:27:12.5816714Z triton_mm_3707 0.0091 ms 85.6% 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 2025-09-07T09:27:12.5818396Z triton_mm_3702 0.0092 ms 85.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:12.5819701Z triton_mm_3711 0.0094 ms 83.0% 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 2025-09-07T09:27:12.5820877Z triton_mm_3701 0.0098 ms 79.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:27:12.5822007Z triton_mm_3718 0.0098 ms 79.5% 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=5, num_warps=8 2025-09-07T09:27:12.5823002Z SingleProcess AUTOTUNE benchmarking takes 0.2577 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:27:24.4442159Z Autotune Choices Stats: 2025-09-07T09:27:24.4443530Z {"num_choices": 28, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.1268800050020218, "best_triton_pos": 9, "best_triton_time": 0.4610559940338135, "best_triton_kernel": "triton_mm_3666", "best_triton_kernel_desc": "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"} 2025-09-07T09:27:24.4487573Z AUTOTUNE mm(128x250112, 250112x512) 2025-09-07T09:27:24.4487871Z strides: [250112, 1], [512, 1] 2025-09-07T09:27:24.4488145Z dtypes: torch.float16, torch.float16 2025-09-07T09:27:24.4488419Z mm 0.1269 ms 100.0% 2025-09-07T09:27:24.4488687Z decompose_k_mm_4_split_1 0.1310 ms 96.9% k_split=4 2025-09-07T09:27:24.4489038Z decompose_k_mm_16_split_3 0.1700 ms 74.6% k_split=16 2025-09-07T09:27:24.4489392Z decompose_k_mm_32_split_4 0.1737 ms 73.1% k_split=32 2025-09-07T09:27:24.4489741Z decompose_k_mm_128_split_6 0.1743 ms 72.8% k_split=128 2025-09-07T09:27:24.4490605Z decompose_k_mm_2_split_0 0.1853 ms 68.5% k_split=2 2025-09-07T09:27:24.4490951Z decompose_k_mm_64_split_5 0.1909 ms 66.4% k_split=64 2025-09-07T09:27:24.4491282Z decompose_k_mm_8_split_2 0.2034 ms 62.4% k_split=8 2025-09-07T09:27:24.4491622Z decompose_k_mm_256_split_7 0.3066 ms 41.4% k_split=256 2025-09-07T09:27:24.4492634Z triton_mm_3666 0.4611 ms 27.5% 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 2025-09-07T09:27:24.4493505Z SingleProcess AUTOTUNE benchmarking takes 5.8176 seconds and 0.0002 seconds precompiling for 28 choices 2025-09-07T09:27:24.8594844Z Autotune Choices Stats: 2025-09-07T09:27:24.8595919Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_3742", "best_kernel_desc": "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", "best_time": 0.008671999908983707, "best_triton_pos": 0} 2025-09-07T09:27:24.8953142Z AUTOTUNE mm(128x1024, 1024x512) 2025-09-07T09:27:24.8953509Z strides: [1024, 1], [512, 1] 2025-09-07T09:27:24.8953817Z dtypes: torch.float16, torch.float16 2025-09-07T09:27:24.8954495Z triton_mm_3742 0.0087 ms 100.0% 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 2025-09-07T09:27:24.8955547Z triton_mm_3746 0.0089 ms 97.5% 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 2025-09-07T09:27:24.8956183Z mm 0.0090 ms 96.4% 2025-09-07T09:27:24.8956796Z triton_mm_3750 0.0101 ms 85.5% 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 2025-09-07T09:27:24.8958265Z triton_mm_3741 0.0114 ms 76.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:24.8959234Z triton_mm_3740 0.0118 ms 73.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:24.8960209Z triton_mm_3745 0.0118 ms 73.6% 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 2025-09-07T09:27:24.8961172Z triton_mm_3749 0.0123 ms 70.8% 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 2025-09-07T09:27:24.8962181Z triton_mm_3756 0.0123 ms 70.6% 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 2025-09-07T09:27:24.8963219Z triton_mm_3748 0.0132 ms 65.8% 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=4, num_warps=8 2025-09-07T09:27:24.8964011Z SingleProcess AUTOTUNE benchmarking takes 0.4448 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:27:25.2144999Z Autotune Choices Stats: 2025-09-07T09:27:25.2146046Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_3818", "best_kernel_desc": "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", "best_time": 0.007648000027984381, "best_triton_pos": 0} 2025-09-07T09:27:25.2749032Z AUTOTUNE mm(128x512, 512x384) 2025-09-07T09:27:25.2749328Z strides: [512, 1], [384, 1] 2025-09-07T09:27:25.2749586Z dtypes: torch.float16, torch.float16 2025-09-07T09:27:25.2750242Z triton_mm_3818 0.0076 ms 100.0% 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 2025-09-07T09:27:25.2751427Z mm 0.0078 ms 97.6% 2025-09-07T09:27:25.2752036Z triton_mm_3822 0.0079 ms 96.8% 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 2025-09-07T09:27:25.2753227Z triton_mm_3826 0.0089 ms 86.0% 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 2025-09-07T09:27:25.2754180Z triton_mm_3821 0.0090 ms 85.1% 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 2025-09-07T09:27:25.2755077Z triton_mm_3817 0.0090 ms 84.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:25.2755973Z triton_mm_3816 0.0092 ms 82.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:25.2756926Z triton_mm_3825 0.0093 ms 82.1% 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 2025-09-07T09:27:25.2758040Z triton_mm_3815 0.0094 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:27:25.2758967Z triton_mm_3832 0.0100 ms 76.6% 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 2025-09-07T09:27:25.2759768Z SingleProcess AUTOTUNE benchmarking takes 0.3781 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:27:25.4477595Z Autotune Choices Stats: 2025-09-07T09:27:25.4478691Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_3844", "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": 0.006560000125318766, "best_triton_pos": 0} 2025-09-07T09:27:25.6657918Z AUTOTUNE bmm(6x128x128, 6x128x64) 2025-09-07T09:27:25.6658232Z strides: [16384, 1, 128], [64, 384, 1] 2025-09-07T09:27:25.6658474Z dtypes: torch.float16, torch.float16 2025-09-07T09:27:25.6659038Z triton_bmm_3844 0.0066 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 2025-09-07T09:27:25.6659862Z triton_bmm_3836 0.0068 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:25.6660680Z triton_bmm_3835 0.0069 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:25.6661524Z triton_bmm_3840 0.0069 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=3, num_warps=8 2025-09-07T09:27:25.6662357Z triton_bmm_3843 0.0071 ms 92.8% 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 2025-09-07T09:27:25.6662982Z bmm 0.0071 ms 91.9% 2025-09-07T09:27:25.6663564Z triton_bmm_3842 0.0071 ms 91.9% 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 2025-09-07T09:27:25.6664557Z triton_bmm_3849 0.0071 ms 91.9% 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 2025-09-07T09:27:25.6665885Z triton_bmm_3850 0.0071 ms 91.9% 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 2025-09-07T09:27:25.6666887Z triton_bmm_3834 0.0073 ms 90.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:27:25.6668097Z SingleProcess AUTOTUNE benchmarking takes 0.3900 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:27:26.1440719Z Autotune Choices Stats: 2025-09-07T09:27:26.1441807Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_3872", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.00687999976798892, "best_triton_pos": 0} 2025-09-07T09:27:26.1871615Z AUTOTUNE bmm(6x64x128, 6x128x128) 2025-09-07T09:27:26.1871948Z strides: [64, 1, 384], [16384, 128, 1] 2025-09-07T09:27:26.1872244Z dtypes: torch.float16, torch.float16 2025-09-07T09:27:26.1872910Z triton_bmm_3872 0.0069 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:26.1873925Z triton_bmm_3873 0.0069 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:26.1874836Z triton_bmm_3877 0.0069 ms 99.5% 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 2025-09-07T09:27:26.1875735Z triton_bmm_3883 0.0071 ms 97.3% 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=3, num_warps=4 2025-09-07T09:27:26.1876638Z triton_bmm_3884 0.0071 ms 96.8% 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 2025-09-07T09:27:26.1877966Z triton_bmm_3881 0.0072 ms 96.0% 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 2025-09-07T09:27:26.1878551Z bmm 0.0073 ms 94.3% 2025-09-07T09:27:26.1879091Z triton_bmm_3880 0.0073 ms 93.9% 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 2025-09-07T09:27:26.1880004Z triton_bmm_3878 0.0074 ms 93.5% 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 2025-09-07T09:27:26.1880912Z triton_bmm_3886 0.0074 ms 93.5% 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=5, num_warps=8 2025-09-07T09:27:26.1881706Z SingleProcess AUTOTUNE benchmarking takes 0.5194 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T09:27:26.3971142Z Autotune Choices Stats: 2025-09-07T09:27:26.3972070Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_3928", "best_kernel_desc": "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", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T09:27:26.4567717Z AUTOTUNE mm(128x384, 384x512) 2025-09-07T09:27:26.4568066Z strides: [384, 1], [512, 1] 2025-09-07T09:27:26.4568325Z dtypes: torch.float16, torch.float16 2025-09-07T09:27:26.4569007Z triton_mm_3928 0.0072 ms 100.0% 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 2025-09-07T09:27:26.4570583Z triton_mm_3932 0.0075 ms 95.7% 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 2025-09-07T09:27:26.4571225Z mm 0.0076 ms 94.9% 2025-09-07T09:27:26.4571801Z triton_mm_3927 0.0080 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:26.4573052Z triton_mm_3931 0.0081 ms 88.5% 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 2025-09-07T09:27:26.4573944Z triton_mm_3926 0.0083 ms 86.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:26.4574905Z triton_mm_3936 0.0083 ms 86.8% 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 2025-09-07T09:27:26.4575781Z triton_mm_3935 0.0084 ms 85.2% 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 2025-09-07T09:27:26.4576626Z triton_mm_3925 0.0085 ms 84.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:27:26.4577652Z triton_mm_3934 0.0089 ms 80.3% 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 2025-09-07T09:27:26.4578390Z SingleProcess AUTOTUNE benchmarking takes 0.2679 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:27:26.7482672Z Autotune Choices Stats: 2025-09-07T09:27:26.7483700Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_3966", "best_kernel_desc": "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", "best_time": 0.00723200011998415, "best_triton_pos": 0} 2025-09-07T09:27:26.8192583Z AUTOTUNE mm(128x384, 384x512) 2025-09-07T09:27:26.8192900Z strides: [1, 128], [512, 1] 2025-09-07T09:27:26.8193214Z dtypes: torch.float16, torch.float16 2025-09-07T09:27:26.8194053Z triton_mm_3966 0.0072 ms 100.0% 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 2025-09-07T09:27:26.8195132Z triton_mm_3970 0.0074 ms 98.3% 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 2025-09-07T09:27:26.8195772Z mm 0.0076 ms 95.8% 2025-09-07T09:27:26.8196354Z triton_mm_3965 0.0080 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:26.8197531Z triton_mm_3974 0.0081 ms 89.0% 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 2025-09-07T09:27:26.8198509Z triton_mm_3969 0.0082 ms 88.3% 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 2025-09-07T09:27:26.8199473Z triton_mm_3964 0.0083 ms 87.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:27:26.8200438Z triton_mm_3973 0.0086 ms 84.0% 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 2025-09-07T09:27:26.8201409Z triton_mm_3963 0.0087 ms 83.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:27:26.8202785Z triton_mm_3972 0.0088 ms 81.9% 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 2025-09-07T09:27:26.8203734Z SingleProcess AUTOTUNE benchmarking takes 0.3620 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:27:32.3181097Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T09:27:32.3182195Z pred = mod(**cloned_inputs) 2025-09-07T09:27:32.3182810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 1787, in forward 2025-09-07T09:27:32.3183415Z decoder_outputs = self.decoder( 2025-09-07T09:27:32.3184022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 1079, in forward 2025-09-07T09:27:32.3184698Z layer_outputs = layer_module( 2025-09-07T09:27:32.3185306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:27:32.3185865Z return super().__call__(*args, **kwargs) 2025-09-07T09:27:32.3186465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 559, in forward 2025-09-07T09:27:32.3187047Z self_attention_outputs = self.layer[0]( 2025-09-07T09:27:32.3187971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 475, in forward 2025-09-07T09:27:32.3188556Z attention_output = self.SelfAttention( 2025-09-07T09:27:32.3189131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 414, in forward 2025-09-07T09:27:32.3189703Z position_bias = self.compute_bias( 2025-09-07T09:27:32.3190292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 338, in compute_bias 2025-09-07T09:27:32.3191110Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T09:27:32.3191539Z 2025-09-07T09:27:32.3191552Z 2025-09-07T09:27:33.4993439Z W0907 09:27:33.498000 26345 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:28:00.7187891Z pass 2025-09-07T09:28:07.3934389Z /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. 2025-09-07T09:28:07.3935770Z import pynvml # type: ignore[import] 2025-09-07T09:28:10.4505930Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:28:10.4507716Z from pkg_resources import resource_filename 2025-09-07T09:28:11.0209166Z 2025-09-07T09:28:11.0351027Z loading model: 0it [00:00, ?it/s]If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:28:11.0351990Z WARNING:transformers.models.megatron_bert.modeling_megatron_bert:If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:28:15.0740418Z 2025-09-07T09:28:15.0740875Z loading model: 0it [00:04, ?it/s] 2025-09-07T09:28:15.0741298Z cuda train MegatronBertForCausalLM 2025-09-07T09:28:52.5318551Z Autotune Choices Stats: 2025-09-07T09:28:52.5320508Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.01462399959564209, "best_triton_pos": 1, "best_triton_time": 0.015104000456631184, "best_triton_kernel": "triton_mm_131", "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"} 2025-09-07T09:28:52.5408791Z AUTOTUNE addmm(512x4096, 512x1024, 1024x4096) 2025-09-07T09:28:52.5409127Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T09:28:52.5409458Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:28:52.5409783Z bias_addmm 0.0146 ms 100.0% 2025-09-07T09:28:52.5410450Z triton_mm_131 0.0151 ms 96.8% 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 2025-09-07T09:28:52.5411452Z triton_mm_124 0.0161 ms 91.0% 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 2025-09-07T09:28:52.5412459Z triton_mm_130 0.0168 ms 87.0% 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 2025-09-07T09:28:52.5413456Z triton_mm_120 0.0170 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 2025-09-07T09:28:52.5414432Z triton_mm_123 0.0182 ms 80.3% 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 2025-09-07T09:28:52.5415516Z triton_mm_127 0.0184 ms 79.6% 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 2025-09-07T09:28:52.5416494Z triton_mm_125 0.0185 ms 79.2% 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 2025-09-07T09:28:52.5417131Z addmm 0.0209 ms 70.1% 2025-09-07T09:28:52.5418096Z triton_mm_126 0.0211 ms 69.5% 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 2025-09-07T09:28:52.5418969Z SingleProcess AUTOTUNE benchmarking takes 0.2849 seconds and 0.0004 seconds precompiling for 21 choices 2025-09-07T09:28:54.6604395Z Autotune Choices Stats: 2025-09-07T09:28:54.6605987Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_8", "best_kernel_desc": "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", "best_time": 0.009727999567985535, "best_triton_pos": 0} 2025-09-07T09:28:54.6672286Z AUTOTUNE addmm(512x1024, 512x1024, 1024x1024) 2025-09-07T09:28:54.6672754Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T09:28:54.6673238Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:28:54.6674368Z triton_mm_8 0.0097 ms 100.0% 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 2025-09-07T09:28:54.6675324Z bias_addmm 0.0101 ms 96.5% 2025-09-07T09:28:54.6676231Z triton_mm_12 0.0113 ms 86.1% 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 2025-09-07T09:28:54.6677954Z triton_mm_7 0.0131 ms 74.3% 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 2025-09-07T09:28:54.6679397Z triton_mm_4 0.0131 ms 74.1% 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 2025-09-07T09:28:54.6681479Z triton_mm_18 0.0133 ms 73.3% 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 2025-09-07T09:28:54.6682399Z triton_mm_11 0.0136 ms 71.4% 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 2025-09-07T09:28:54.6683145Z addmm 0.0141 ms 68.9% 2025-09-07T09:28:54.6683681Z triton_mm_3 0.0145 ms 67.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:28:54.6684580Z triton_mm_17 0.0151 ms 64.5% 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 2025-09-07T09:28:54.6685378Z SingleProcess AUTOTUNE benchmarking takes 0.2752 seconds and 0.0003 seconds precompiling for 21 choices 2025-09-07T09:28:55.1266832Z Autotune Choices Stats: 2025-09-07T09:28:55.1268465Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_63", "best_kernel_desc": "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", "best_time": 0.00979200005531311, "best_triton_pos": 0} 2025-09-07T09:28:55.1359655Z AUTOTUNE bmm(16x512x64, 16x64x512) 2025-09-07T09:28:55.1360107Z strides: [64, 1024, 1], [64, 1, 1024] 2025-09-07T09:28:55.1360529Z dtypes: torch.float16, torch.float16 2025-09-07T09:28:55.1361495Z triton_bmm_63 0.0098 ms 100.0% 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 2025-09-07T09:28:55.1362976Z triton_bmm_66 0.0098 ms 100.0% 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=3, num_warps=4 2025-09-07T09:28:55.1364489Z triton_bmm_75 0.0099 ms 99.0% 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 2025-09-07T09:28:55.1366019Z triton_bmm_69 0.0100 ms 98.4% 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=4, num_warps=4 2025-09-07T09:28:55.1367740Z triton_bmm_71 0.0100 ms 97.8% 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 2025-09-07T09:28:55.1369183Z triton_bmm_67 0.0101 ms 96.8% 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=4, num_warps=8 2025-09-07T09:28:55.1370635Z triton_bmm_70 0.0101 ms 96.8% 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 2025-09-07T09:28:55.1372054Z triton_bmm_68 0.0102 ms 95.6% 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 2025-09-07T09:28:55.1373521Z triton_bmm_73 0.0104 ms 94.2% 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 2025-09-07T09:28:55.1375095Z triton_bmm_74 0.0104 ms 94.2% 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 2025-09-07T09:28:55.1376373Z SingleProcess AUTOTUNE benchmarking takes 0.4663 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:28:55.3470229Z Autotune Choices Stats: 2025-09-07T09:28:55.3471704Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_84", "best_kernel_desc": "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", "best_time": 0.010879999957978725, "best_triton_pos": 0} 2025-09-07T09:28:55.3494521Z AUTOTUNE bmm(16x512x512, 16x512x64) 2025-09-07T09:28:55.3495014Z strides: [262144, 512, 1], [64, 1024, 1] 2025-09-07T09:28:55.3495330Z dtypes: torch.float16, torch.float16 2025-09-07T09:28:55.3496009Z triton_bmm_84 0.0109 ms 100.0% 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 2025-09-07T09:28:55.3497689Z triton_bmm_88 0.0110 ms 98.6% 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=4, num_warps=4 2025-09-07T09:28:55.3498695Z triton_bmm_93 0.0116 ms 93.7% 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=5, num_warps=8 2025-09-07T09:28:55.3499310Z bmm 0.0116 ms 93.4% 2025-09-07T09:28:55.3499901Z triton_bmm_87 0.0116 ms 93.4% 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=3, num_warps=4 2025-09-07T09:28:55.3501010Z triton_bmm_83 0.0120 ms 90.7% 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 2025-09-07T09:28:55.3502010Z triton_bmm_92 0.0121 ms 89.9% 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 2025-09-07T09:28:55.3502990Z triton_bmm_80 0.0124 ms 87.9% 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 2025-09-07T09:28:55.3503957Z triton_bmm_77 0.0124 ms 87.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:28:55.3504925Z triton_bmm_78 0.0125 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:28:55.3505772Z SingleProcess AUTOTUNE benchmarking takes 0.2130 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:28:55.6559054Z Autotune Choices Stats: 2025-09-07T09:28:55.6560354Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.016543999314308167, "best_triton_pos": 1, "best_triton_time": 0.017696000635623932, "best_triton_kernel": "triton_mm_140", "best_triton_kernel_desc": "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"} 2025-09-07T09:28:55.6711021Z AUTOTUNE addmm(512x1024, 512x4096, 4096x1024) 2025-09-07T09:28:55.6711396Z strides: [0, 1], [4096, 1], [1, 4096] 2025-09-07T09:28:55.6711762Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:28:55.6712150Z bias_addmm 0.0165 ms 100.0% 2025-09-07T09:28:55.6712787Z triton_mm_140 0.0177 ms 93.5% 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 2025-09-07T09:28:55.6713415Z addmm 0.0205 ms 80.5% 2025-09-07T09:28:55.6714011Z triton_mm_144 0.0215 ms 76.9% 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 2025-09-07T09:28:55.6715012Z triton_mm_136 0.0274 ms 60.5% 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 2025-09-07T09:28:55.6715994Z triton_mm_150 0.0281 ms 58.9% 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 2025-09-07T09:28:55.6717670Z triton_mm_139 0.0342 ms 48.4% 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=3, num_warps=8 2025-09-07T09:28:55.6718725Z triton_mm_143 0.0348 ms 47.6% 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 2025-09-07T09:28:55.6719962Z triton_mm_135 0.0372 ms 44.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:28:55.6721003Z triton_mm_149 0.0379 ms 43.7% 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 2025-09-07T09:28:55.6721861Z SingleProcess AUTOTUNE benchmarking takes 0.3203 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T09:28:56.4525097Z Autotune Choices Stats: 2025-09-07T09:28:56.4526450Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.05843200162053108, "best_triton_pos": 1, "best_triton_time": 0.06886400282382965, "best_triton_kernel": "triton_mm_3660", "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"} 2025-09-07T09:28:56.4609605Z AUTOTUNE addmm(512x29056, 512x1024, 1024x29056) 2025-09-07T09:28:56.4609930Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T09:28:56.4610269Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:28:56.4610604Z bias_addmm 0.0584 ms 100.0% 2025-09-07T09:28:56.4611245Z triton_mm_3660 0.0689 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 2025-09-07T09:28:56.4612243Z triton_mm_3661 0.0736 ms 79.4% 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 2025-09-07T09:28:56.4613236Z triton_mm_3654 0.0795 ms 73.5% 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 2025-09-07T09:28:56.4614225Z triton_mm_3659 0.0875 ms 66.8% 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 2025-09-07T09:28:56.4614935Z addmm 0.0914 ms 63.9% 2025-09-07T09:28:56.4615528Z triton_mm_3655 0.0920 ms 63.5% 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 2025-09-07T09:28:56.4616511Z triton_mm_3653 0.0940 ms 62.2% 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=4, num_warps=8 2025-09-07T09:28:56.4617668Z triton_mm_3652 0.0947 ms 61.7% 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 2025-09-07T09:28:56.4618667Z triton_mm_3650 0.0957 ms 61.0% 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 2025-09-07T09:28:56.4619527Z SingleProcess AUTOTUNE benchmarking takes 0.6327 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T09:29:23.7731931Z Autotune Choices Stats: 2025-09-07T09:29:23.7733269Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.054655998945236206, "best_triton_pos": 1, "best_triton_time": 0.06719999760389328, "best_triton_kernel": "triton_mm_3698", "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"} 2025-09-07T09:29:23.8038180Z AUTOTUNE mm(29056x512, 512x1024) 2025-09-07T09:29:23.8038531Z strides: [1, 29056], [1024, 1] 2025-09-07T09:29:23.8038814Z dtypes: torch.float16, torch.float16 2025-09-07T09:29:23.8039705Z mm 0.0547 ms 100.0% 2025-09-07T09:29:23.8040371Z triton_mm_3698 0.0672 ms 81.3% 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 2025-09-07T09:29:23.8041672Z triton_mm_3697 0.0720 ms 75.9% 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 2025-09-07T09:29:23.8042668Z triton_mm_3690 0.0738 ms 74.0% 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=3, num_warps=4 2025-09-07T09:29:23.8043651Z triton_mm_3699 0.0767 ms 71.3% 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 2025-09-07T09:29:23.8044640Z triton_mm_3694 0.0782 ms 69.9% 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 2025-09-07T09:29:23.8045624Z triton_mm_3691 0.0812 ms 67.3% 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 2025-09-07T09:29:23.8046604Z triton_mm_3692 0.0818 ms 66.8% 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 2025-09-07T09:29:23.8047840Z triton_mm_3695 0.0854 ms 64.0% 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 2025-09-07T09:29:23.8048838Z triton_mm_3696 0.0957 ms 57.1% 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=2, num_warps=8 2025-09-07T09:29:23.8049713Z SingleProcess AUTOTUNE benchmarking takes 0.4687 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:29:24.2601339Z Autotune Choices Stats: 2025-09-07T09:29:24.2602409Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_3774", "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": 0.014047999866306782, "best_triton_pos": 0} 2025-09-07T09:29:24.2685793Z AUTOTUNE mm(1024x512, 512x4096) 2025-09-07T09:29:24.2686083Z strides: [1, 1024], [4096, 1] 2025-09-07T09:29:24.2686356Z dtypes: torch.float16, torch.float16 2025-09-07T09:29:24.2687060Z triton_mm_3774 0.0140 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 2025-09-07T09:29:24.2688082Z mm 0.0142 ms 98.9% 2025-09-07T09:29:24.2688688Z triton_mm_3771 0.0148 ms 95.2% 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 2025-09-07T09:29:24.2689716Z triton_mm_3767 0.0150 ms 93.6% 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 2025-09-07T09:29:24.2690734Z triton_mm_3773 0.0150 ms 93.6% 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 2025-09-07T09:29:24.2691651Z triton_mm_3766 0.0151 ms 93.2% 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 2025-09-07T09:29:24.2692556Z triton_mm_3770 0.0156 ms 90.1% 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 2025-09-07T09:29:24.2693799Z triton_mm_3775 0.0166 ms 84.6% 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 2025-09-07T09:29:24.2694842Z triton_mm_3768 0.0174 ms 80.7% 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 2025-09-07T09:29:24.2695940Z triton_mm_3763 0.0190 ms 73.9% 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 2025-09-07T09:29:24.2696741Z SingleProcess AUTOTUNE benchmarking takes 0.2225 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:29:24.5031225Z Autotune Choices Stats: 2025-09-07T09:29:24.5032602Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01408000010997057, "best_triton_pos": 1, "best_triton_time": 0.014368000440299511, "best_triton_kernel": "triton_mm_3812", "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"} 2025-09-07T09:29:24.5058736Z AUTOTUNE mm(4096x512, 512x1024) 2025-09-07T09:29:24.5059001Z strides: [1, 4096], [1024, 1] 2025-09-07T09:29:24.5059282Z dtypes: torch.float16, torch.float16 2025-09-07T09:29:24.5059589Z mm 0.0141 ms 100.0% 2025-09-07T09:29:24.5060314Z triton_mm_3812 0.0144 ms 98.0% 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 2025-09-07T09:29:24.5061311Z triton_mm_3804 0.0151 ms 93.4% 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 2025-09-07T09:29:24.5062301Z triton_mm_3811 0.0151 ms 93.4% 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 2025-09-07T09:29:24.5063291Z triton_mm_3805 0.0152 ms 92.8% 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=4, num_warps=8 2025-09-07T09:29:24.5064276Z triton_mm_3808 0.0156 ms 90.3% 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 2025-09-07T09:29:24.5065254Z triton_mm_3809 0.0156 ms 90.0% 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 2025-09-07T09:29:24.5066238Z triton_mm_3813 0.0165 ms 85.1% 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 2025-09-07T09:29:24.5067220Z triton_mm_3806 0.0178 ms 79.0% 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 2025-09-07T09:29:24.5068509Z triton_mm_3801 0.0190 ms 74.2% 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 2025-09-07T09:29:24.5069362Z SingleProcess AUTOTUNE benchmarking takes 0.2155 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:29:25.1620388Z Autotune Choices Stats: 2025-09-07T09:29:25.1621663Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.013791999779641628, "best_triton_pos": 1, "best_triton_time": 0.01408000010997057, "best_triton_kernel": "triton_mm_3756", "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"} 2025-09-07T09:29:25.2304433Z AUTOTUNE mm(512x1024, 1024x4096) 2025-09-07T09:29:25.2304719Z strides: [1024, 1], [4096, 1] 2025-09-07T09:29:25.2304982Z dtypes: torch.float16, torch.float16 2025-09-07T09:29:25.2305599Z mm 0.0138 ms 100.0% 2025-09-07T09:29:25.2306212Z triton_mm_3756 0.0141 ms 98.0% 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 2025-09-07T09:29:25.2307809Z triton_mm_3749 0.0153 ms 90.2% 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 2025-09-07T09:29:25.2308812Z triton_mm_3755 0.0159 ms 86.7% 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 2025-09-07T09:29:25.2309800Z triton_mm_3748 0.0164 ms 84.0% 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 2025-09-07T09:29:25.2310789Z triton_mm_3745 0.0165 ms 83.5% 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 2025-09-07T09:29:25.2311718Z triton_mm_3752 0.0167 ms 82.7% 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 2025-09-07T09:29:25.2312625Z triton_mm_3750 0.0170 ms 81.2% 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 2025-09-07T09:29:25.2313535Z triton_mm_3747 0.0191 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 2025-09-07T09:29:25.2314478Z triton_mm_3751 0.0194 ms 71.0% 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 2025-09-07T09:29:25.2315283Z SingleProcess AUTOTUNE benchmarking takes 0.2849 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:29:26.1523339Z Autotune Choices Stats: 2025-09-07T09:29:26.1525130Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.009088000282645226, "best_triton_pos": 1, "best_triton_time": 0.009279999881982803, "best_triton_kernel": "triton_mm_3993", "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"} 2025-09-07T09:29:26.1765344Z AUTOTUNE mm(1024x512, 512x1024) 2025-09-07T09:29:26.1765714Z strides: [512, 1], [1024, 1] 2025-09-07T09:29:26.1766075Z dtypes: torch.float16, torch.float16 2025-09-07T09:29:26.1766441Z mm 0.0091 ms 100.0% 2025-09-07T09:29:26.1767678Z triton_mm_3993 0.0093 ms 97.9% 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 2025-09-07T09:29:26.1769094Z triton_mm_3992 0.0098 ms 93.1% 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 2025-09-07T09:29:26.1770437Z triton_mm_3988 0.0100 ms 90.7% 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 2025-09-07T09:29:26.1771809Z triton_mm_3999 0.0102 ms 89.0% 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 2025-09-07T09:29:26.1773178Z triton_mm_3991 0.0103 ms 88.5% 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 2025-09-07T09:29:26.1774539Z triton_mm_3995 0.0105 ms 86.6% 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 2025-09-07T09:29:26.1776449Z triton_mm_3998 0.0105 ms 86.6% 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 2025-09-07T09:29:26.1777993Z triton_mm_3989 0.0112 ms 81.4% 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 2025-09-07T09:29:26.1779586Z triton_mm_3990 0.0116 ms 78.2% 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 2025-09-07T09:29:26.1780794Z SingleProcess AUTOTUNE benchmarking takes 0.2155 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:29:26.8213620Z Autotune Choices Stats: 2025-09-07T09:29:26.8215075Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.008799999952316284, "best_triton_pos": 1, "best_triton_time": 0.008960000239312649, "best_triton_kernel": "triton_mm_3731", "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"} 2025-09-07T09:29:26.8575041Z AUTOTUNE mm(1024x512, 512x1024) 2025-09-07T09:29:26.8575342Z strides: [1, 1024], [1024, 1] 2025-09-07T09:29:26.8575618Z dtypes: torch.float16, torch.float16 2025-09-07T09:29:26.8575893Z mm 0.0088 ms 100.0% 2025-09-07T09:29:26.8576518Z triton_mm_3731 0.0090 ms 98.2% 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 2025-09-07T09:29:26.8577924Z triton_mm_3730 0.0098 ms 89.9% 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 2025-09-07T09:29:26.8578915Z triton_mm_3726 0.0101 ms 87.3% 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 2025-09-07T09:29:26.8579893Z triton_mm_3729 0.0102 ms 86.2% 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=4, num_warps=8 2025-09-07T09:29:26.8581055Z triton_mm_3733 0.0102 ms 85.9% 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 2025-09-07T09:29:26.8582037Z triton_mm_3737 0.0102 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=5, num_warps=8 2025-09-07T09:29:26.8583042Z triton_mm_3736 0.0104 ms 84.4% 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 2025-09-07T09:29:26.8584031Z triton_mm_3727 0.0108 ms 81.1% 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 2025-09-07T09:29:26.8585007Z triton_mm_3728 0.0115 ms 76.4% 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 2025-09-07T09:29:26.8585862Z SingleProcess AUTOTUNE benchmarking takes 0.4042 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:29:28.6002092Z Autotune Choices Stats: 2025-09-07T09:29:28.6004032Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.057312000542879105, "best_triton_pos": 1, "best_triton_time": 0.07526399940252304, "best_triton_kernel": "triton_mm_3670", "best_triton_kernel_desc": "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"} 2025-09-07T09:29:28.6723469Z AUTOTUNE mm(512x29056, 29056x1024) 2025-09-07T09:29:28.6723784Z strides: [29056, 1], [1024, 1] 2025-09-07T09:29:28.6724502Z dtypes: torch.float16, torch.float16 2025-09-07T09:29:28.6724809Z mm 0.0573 ms 100.0% 2025-09-07T09:29:28.6725442Z triton_mm_3670 0.0753 ms 76.1% 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 2025-09-07T09:29:28.6726705Z triton_mm_3674 0.0975 ms 58.8% 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 2025-09-07T09:29:28.6729048Z triton_mm_3666 0.1434 ms 40.0% 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 2025-09-07T09:29:28.6730112Z triton_mm_3680 0.1569 ms 36.5% 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=5, num_warps=8 2025-09-07T09:29:28.6731170Z triton_mm_3673 0.1824 ms 31.4% 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 2025-09-07T09:29:28.6732107Z triton_mm_3669 0.1845 ms 31.1% 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 2025-09-07T09:29:28.6732973Z triton_mm_3679 0.2016 ms 28.4% 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 2025-09-07T09:29:28.6733838Z triton_mm_3665 0.2178 ms 26.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:29:28.6734776Z triton_mm_3672 0.2204 ms 26.0% 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 2025-09-07T09:29:28.6735541Z SingleProcess AUTOTUNE benchmarking takes 0.6626 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:29:28.8735649Z Autotune Choices Stats: 2025-09-07T09:29:28.8738191Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.009184000082314014, "best_triton_pos": 1, "best_triton_time": 0.009664000011980534, "best_triton_kernel": "triton_mm_3708", "best_triton_kernel_desc": "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"} 2025-09-07T09:29:28.9387173Z AUTOTUNE mm(512x1024, 1024x1024) 2025-09-07T09:29:28.9387561Z strides: [1024, 1], [1024, 1] 2025-09-07T09:29:28.9387819Z dtypes: torch.float16, torch.float16 2025-09-07T09:29:28.9388078Z mm 0.0092 ms 100.0% 2025-09-07T09:29:28.9388673Z triton_mm_3708 0.0097 ms 95.0% 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 2025-09-07T09:29:28.9389681Z triton_mm_3712 0.0106 ms 86.4% 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 2025-09-07T09:29:28.9390670Z triton_mm_3707 0.0124 ms 74.4% 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=3, num_warps=8 2025-09-07T09:29:28.9391663Z triton_mm_3718 0.0127 ms 72.5% 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=5, num_warps=8 2025-09-07T09:29:28.9392636Z triton_mm_3711 0.0127 ms 72.1% 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 2025-09-07T09:29:28.9393769Z triton_mm_3704 0.0128 ms 71.8% 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 2025-09-07T09:29:28.9394688Z triton_mm_3710 0.0137 ms 67.2% 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=4, num_warps=8 2025-09-07T09:29:28.9395743Z triton_mm_3714 0.0139 ms 66.0% 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 2025-09-07T09:29:28.9396653Z triton_mm_3703 0.0142 ms 64.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:29:28.9397571Z SingleProcess AUTOTUNE benchmarking takes 0.2642 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:29:29.2095410Z Autotune Choices Stats: 2025-09-07T09:29:29.2096700Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.014944000169634819, "best_triton_pos": 1, "best_triton_time": 0.016704000532627106, "best_triton_kernel": "triton_mm_3784", "best_triton_kernel_desc": "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"} 2025-09-07T09:29:29.2129365Z AUTOTUNE mm(512x4096, 4096x1024) 2025-09-07T09:29:29.2129655Z strides: [4096, 1], [1024, 1] 2025-09-07T09:29:29.2129921Z dtypes: torch.float16, torch.float16 2025-09-07T09:29:29.2130203Z mm 0.0149 ms 100.0% 2025-09-07T09:29:29.2130820Z triton_mm_3784 0.0167 ms 89.5% 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 2025-09-07T09:29:29.2131823Z triton_mm_3788 0.0202 ms 74.1% 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 2025-09-07T09:29:29.2132812Z triton_mm_3780 0.0262 ms 57.0% 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 2025-09-07T09:29:29.2133780Z triton_mm_3794 0.0289 ms 51.7% 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 2025-09-07T09:29:29.2134855Z triton_mm_3787 0.0324 ms 46.1% 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 2025-09-07T09:29:29.2135817Z triton_mm_3783 0.0329 ms 45.4% 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=3, num_warps=8 2025-09-07T09:29:29.2136794Z triton_mm_3793 0.0358 ms 41.7% 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 2025-09-07T09:29:29.2137913Z triton_mm_3779 0.0366 ms 40.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:29:29.2138882Z triton_mm_3786 0.0383 ms 39.0% 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 2025-09-07T09:29:29.2139755Z SingleProcess AUTOTUNE benchmarking takes 0.2729 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:29:29.3970348Z Autotune Choices Stats: 2025-09-07T09:29:29.3971955Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_3864", "best_kernel_desc": "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=4, num_warps=4", "best_time": 0.011008000001311302, "best_triton_pos": 0} 2025-09-07T09:29:29.4961738Z AUTOTUNE bmm(16x512x512, 16x512x64) 2025-09-07T09:29:29.4962209Z strides: [262144, 1, 512], [64, 1024, 1] 2025-09-07T09:29:29.4963079Z dtypes: torch.float16, torch.float16 2025-09-07T09:29:29.4964110Z triton_bmm_3864 0.0110 ms 100.0% 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=4, num_warps=4 2025-09-07T09:29:29.4965921Z triton_bmm_3860 0.0111 ms 99.1% 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 2025-09-07T09:29:29.4967848Z triton_bmm_3863 0.0113 ms 97.5% 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=4 2025-09-07T09:29:29.4969421Z triton_bmm_3869 0.0114 ms 96.9% 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 2025-09-07T09:29:29.4970393Z bmm 0.0116 ms 95.3% 2025-09-07T09:29:29.4971326Z triton_bmm_3859 0.0116 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=3, num_warps=8 2025-09-07T09:29:29.4972585Z triton_bmm_3862 0.0116 ms 95.0% 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 2025-09-07T09:29:29.4973519Z triton_bmm_3855 0.0118 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:29:29.4974452Z triton_bmm_3868 0.0118 ms 93.0% 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 2025-09-07T09:29:29.4975449Z triton_bmm_3854 0.0121 ms 91.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:29:29.4976259Z SingleProcess AUTOTUNE benchmarking takes 0.2801 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:29:29.6704316Z Autotune Choices Stats: 2025-09-07T09:29:29.6705318Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_3897", "best_kernel_desc": "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", "best_time": 0.011103999800980091, "best_triton_pos": 0} 2025-09-07T09:29:29.6954822Z AUTOTUNE bmm(16x64x512, 16x512x512) 2025-09-07T09:29:29.6955341Z strides: [64, 1, 1024], [262144, 512, 1] 2025-09-07T09:29:29.6955819Z dtypes: torch.float16, torch.float16 2025-09-07T09:29:29.6956909Z triton_bmm_3897 0.0111 ms 100.0% 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 2025-09-07T09:29:29.6959067Z triton_bmm_3905 0.0115 ms 96.7% 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=5, num_warps=8 2025-09-07T09:29:29.6960661Z triton_bmm_3901 0.0115 ms 96.4% 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 2025-09-07T09:29:29.6961753Z bmm 0.0116 ms 96.1% 2025-09-07T09:29:29.6962543Z triton_bmm_3896 0.0116 ms 95.6% 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 2025-09-07T09:29:29.6963451Z triton_bmm_3900 0.0117 ms 94.6% 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 2025-09-07T09:29:29.6964364Z triton_bmm_3903 0.0119 ms 93.3% 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=4, num_warps=8 2025-09-07T09:29:29.6965609Z triton_bmm_3892 0.0119 ms 93.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:29:29.6966539Z triton_bmm_3891 0.0120 ms 92.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:29:29.6967737Z triton_bmm_3899 0.0122 ms 90.8% 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=4, num_warps=8 2025-09-07T09:29:29.6968541Z SingleProcess AUTOTUNE benchmarking takes 0.1976 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T09:29:29.8974801Z Autotune Choices Stats: 2025-09-07T09:29:29.8976074Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.009247999638319016, "best_triton_pos": 1, "best_triton_time": 0.009535999968647957, "best_triton_kernel": "triton_mm_3970", "best_triton_kernel_desc": "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"} 2025-09-07T09:29:29.9465308Z AUTOTUNE mm(512x1024, 1024x1024) 2025-09-07T09:29:29.9465585Z strides: [1, 512], [1024, 1] 2025-09-07T09:29:29.9465841Z dtypes: torch.float16, torch.float16 2025-09-07T09:29:29.9466111Z mm 0.0092 ms 100.0% 2025-09-07T09:29:29.9466709Z triton_mm_3970 0.0095 ms 97.0% 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 2025-09-07T09:29:29.9467848Z triton_mm_3974 0.0106 ms 87.6% 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 2025-09-07T09:29:29.9468847Z triton_mm_3980 0.0124 ms 74.5% 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=5, num_warps=8 2025-09-07T09:29:29.9469835Z triton_mm_3969 0.0125 ms 73.9% 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 2025-09-07T09:29:29.9470814Z triton_mm_3966 0.0126 ms 73.5% 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 2025-09-07T09:29:29.9471791Z triton_mm_3973 0.0128 ms 72.4% 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 2025-09-07T09:29:29.9472762Z triton_mm_3972 0.0135 ms 68.3% 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 2025-09-07T09:29:29.9473679Z triton_mm_3976 0.0137 ms 67.5% 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=4, num_warps=8 2025-09-07T09:29:29.9474583Z triton_mm_3965 0.0138 ms 67.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:29:29.9475374Z SingleProcess AUTOTUNE benchmarking takes 0.2478 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:29:38.0164839Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T09:29:38.0165935Z pred = mod(**cloned_inputs) 2025-09-07T09:29:38.0166621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 1064, in forward 2025-09-07T09:29:38.0167824Z outputs = self.bert( 2025-09-07T09:29:38.0169093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 849, in forward 2025-09-07T09:29:38.0169836Z embedding_output = self.embeddings( 2025-09-07T09:29:38.0170512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 172, in forward 2025-09-07T09:29:38.0171495Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T09:29:38.0171772Z 2025-09-07T09:29:38.0171776Z 2025-09-07T09:29:39.1209237Z W0907 09:29:39.119000 31785 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:30:39.7354324Z pass 2025-09-07T09:30:48.5507623Z /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. 2025-09-07T09:30:48.5509236Z import pynvml # type: ignore[import] 2025-09-07T09:30:51.6366330Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:30:51.6368950Z from pkg_resources import resource_filename 2025-09-07T09:30:52.2864819Z 2025-09-07T09:30:56.3061833Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:30:56.3062293Z loading model: 0it [00:04, ?it/s] 2025-09-07T09:30:56.3062752Z cuda train MegatronBertForQuestionAnswering 2025-09-07T09:31:33.9134664Z Autotune Choices Stats: 2025-09-07T09:31:33.9136048Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_3628", "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": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T09:31:33.9168995Z AUTOTUNE mm(512x1024, 1024x2) 2025-09-07T09:31:33.9169369Z strides: [1024, 1], [1, 1024] 2025-09-07T09:31:33.9169760Z dtypes: torch.float16, torch.float16 2025-09-07T09:31:33.9170858Z triton_mm_3628 0.0082 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 2025-09-07T09:31:33.9172481Z triton_mm_3634 0.0085 ms 96.6% 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 2025-09-07T09:31:33.9173955Z triton_mm_3639 0.0096 ms 85.0% 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 2025-09-07T09:31:33.9174965Z mm 0.0106 ms 77.1% 2025-09-07T09:31:33.9175815Z triton_mm_3626 0.0108 ms 75.5% 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 2025-09-07T09:31:33.9177436Z triton_mm_3627 0.0110 ms 74.6% 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 2025-09-07T09:31:33.9178914Z triton_mm_3631 0.0110 ms 74.6% 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 2025-09-07T09:31:33.9180518Z triton_mm_3625 0.0117 ms 69.9% 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 2025-09-07T09:31:33.9182009Z triton_mm_3638 0.0117 ms 69.8% 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 2025-09-07T09:31:33.9184037Z triton_mm_3633 0.0126 ms 65.1% 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=4, num_warps=4 2025-09-07T09:31:33.9185511Z SingleProcess AUTOTUNE benchmarking takes 0.2217 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T09:31:59.7466073Z Autotune Choices Stats: 2025-09-07T09:31:59.7468080Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_3660", "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": 0.007615999784320593, "best_triton_pos": 0} 2025-09-07T09:31:59.7497428Z AUTOTUNE mm(2x512, 512x1024) 2025-09-07T09:31:59.7497777Z strides: [1, 2], [1024, 1] 2025-09-07T09:31:59.7498106Z dtypes: torch.float16, torch.float16 2025-09-07T09:31:59.7499048Z triton_mm_3660 0.0076 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 2025-09-07T09:31:59.7500403Z triton_mm_3664 0.0079 ms 96.7% 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 2025-09-07T09:31:59.7501746Z triton_mm_3658 0.0086 ms 88.1% 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 2025-09-07T09:31:59.7503058Z triton_mm_3659 0.0086 ms 88.1% 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 2025-09-07T09:31:59.7504379Z triton_mm_3668 0.0087 ms 87.5% 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 2025-09-07T09:31:59.7505711Z triton_mm_3672 0.0088 ms 86.5% 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 2025-09-07T09:31:59.7507016Z triton_mm_3663 0.0088 ms 86.2% 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=3, num_warps=4 2025-09-07T09:31:59.7508463Z triton_mm_3670 0.0092 ms 82.9% 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=4, num_warps=4 2025-09-07T09:31:59.7509694Z triton_mm_3657 0.0093 ms 81.5% 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 2025-09-07T09:31:59.7510872Z triton_mm_3667 0.0097 ms 78.8% 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 2025-09-07T09:31:59.7511908Z SingleProcess AUTOTUNE benchmarking takes 0.1701 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T09:32:00.5697732Z Autotune Choices Stats: 2025-09-07T09:32:00.5699266Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_3646", "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": 0.005824000108987093, "best_triton_pos": 0} 2025-09-07T09:32:00.5727883Z AUTOTUNE mm(512x2, 2x1024) 2025-09-07T09:32:00.5728229Z strides: [2, 1], [1024, 1] 2025-09-07T09:32:00.5728588Z dtypes: torch.float16, torch.float16 2025-09-07T09:32:00.5729516Z triton_mm_3646 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 2025-09-07T09:32:00.5731253Z triton_mm_3647 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 2025-09-07T09:32:00.5732525Z triton_mm_3645 0.0059 ms 99.5% 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 2025-09-07T09:32:00.5733964Z triton_mm_3644 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 2025-09-07T09:32:00.5735307Z triton_mm_3641 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=2, num_warps=4 2025-09-07T09:32:00.5736532Z triton_mm_3642 0.0059 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 2025-09-07T09:32:00.5737940Z triton_mm_3643 0.0060 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=8 2025-09-07T09:32:00.5739381Z triton_mm_3648 0.0060 ms 97.8% 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 2025-09-07T09:32:00.5740714Z triton_mm_3649 0.0060 ms 97.8% 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 2025-09-07T09:32:00.5742036Z triton_mm_3650 0.0060 ms 97.8% 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=4 2025-09-07T09:32:00.5743183Z SingleProcess AUTOTUNE benchmarking takes 0.1530 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T09:32:08.1090255Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T09:32:08.1091695Z pred = mod(**cloned_inputs) 2025-09-07T09:32:08.1092591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 1597, in forward 2025-09-07T09:32:08.1093495Z outputs = self.bert( 2025-09-07T09:32:08.1094329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 849, in forward 2025-09-07T09:32:08.1095333Z embedding_output = self.embeddings( 2025-09-07T09:32:08.1096213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 172, in forward 2025-09-07T09:32:08.1097185Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T09:32:08.1097914Z 2025-09-07T09:32:08.1097919Z 2025-09-07T09:32:08.9865440Z W0907 09:32:08.985000 36289 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:33:10.8573982Z pass 2025-09-07T09:33:18.7509866Z /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. 2025-09-07T09:33:18.7511230Z import pynvml # type: ignore[import] 2025-09-07T09:33:21.8046541Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:33:21.8048361Z from pkg_resources import resource_filename 2025-09-07T09:33:22.3967454Z 2025-09-07T09:33:24.5309440Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:33:24.5309771Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:33:24.5310060Z cuda train MobileBertForMaskedLM 2025-09-07T09:34:32.6412029Z Autotune Choices Stats: 2025-09-07T09:34:32.6413436Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_168", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.006591999903321266, "best_triton_pos": 0} 2025-09-07T09:34:32.6660232Z AUTOTUNE mm(128x128, 128x512) 2025-09-07T09:34:32.6660514Z strides: [128, 1], [1, 128] 2025-09-07T09:34:32.6660786Z dtypes: torch.float16, torch.float16 2025-09-07T09:34:32.6661477Z triton_mm_168 0.0066 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:34:32.6662519Z triton_mm_170 0.0066 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:34:32.6663497Z triton_mm_169 0.0066 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:34:32.6664465Z triton_mm_174 0.0066 ms 99.5% 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 2025-09-07T09:34:32.6665424Z triton_mm_176 0.0069 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 2025-09-07T09:34:32.6666383Z triton_mm_178 0.0069 ms 95.4% 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 2025-09-07T09:34:32.6667020Z mm 0.0071 ms 92.8% 2025-09-07T09:34:32.6668175Z triton_mm_181 0.0071 ms 92.8% 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 2025-09-07T09:34:32.6669163Z triton_mm_177 0.0072 ms 92.0% 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 2025-09-07T09:34:32.6670132Z triton_mm_180 0.0073 ms 90.7% 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 2025-09-07T09:34:32.6670986Z SingleProcess AUTOTUNE benchmarking takes 0.4747 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:34:36.5922706Z Autotune Choices Stats: 2025-09-07T09:34:36.5923807Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_42", "best_kernel_desc": "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", "best_time": 0.007679999805986881, "best_triton_pos": 0} 2025-09-07T09:34:36.6131060Z AUTOTUNE addmm(128x128, 128x512, 512x128) 2025-09-07T09:34:36.6131396Z strides: [0, 1], [512, 1], [1, 512] 2025-09-07T09:34:36.6131729Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:34:36.6132431Z triton_mm_42 0.0077 ms 100.0% 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 2025-09-07T09:34:36.6133428Z triton_mm_46 0.0078 ms 98.0% 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 2025-09-07T09:34:36.6134387Z triton_mm_41 0.0088 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:34:36.6135920Z triton_mm_50 0.0089 ms 86.6% 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 2025-09-07T09:34:36.6137097Z triton_mm_39 0.0092 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:34:36.6138523Z triton_mm_40 0.0094 ms 81.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:34:36.6139572Z triton_mm_45 0.0094 ms 81.9% 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 2025-09-07T09:34:36.6140548Z triton_mm_55 0.0107 ms 71.9% 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 2025-09-07T09:34:36.6141515Z triton_mm_52 0.0109 ms 70.6% 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 2025-09-07T09:34:36.6142136Z addmm 0.0109 ms 70.4% 2025-09-07T09:34:36.6142593Z SingleProcess AUTOTUNE benchmarking takes 0.4310 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T09:34:37.6124455Z Autotune Choices Stats: 2025-09-07T09:34:37.6125498Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_150", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.006816000211983919, "best_triton_pos": 0} 2025-09-07T09:34:37.8326181Z AUTOTUNE addmm(128x128, 128x128, 128x128) 2025-09-07T09:34:37.8326538Z strides: [0, 1], [128, 1], [1, 128] 2025-09-07T09:34:37.8326888Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:34:37.8328116Z triton_mm_150 0.0068 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:34:37.8329161Z triton_mm_151 0.0068 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:34:37.8330004Z triton_mm_149 0.0069 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:34:37.8330855Z triton_mm_155 0.0069 ms 98.6% 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 2025-09-07T09:34:37.8331705Z triton_mm_156 0.0071 ms 95.9% 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 2025-09-07T09:34:37.8332558Z triton_mm_159 0.0073 ms 93.4% 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 2025-09-07T09:34:37.8333104Z bias_addmm 0.0074 ms 91.8% 2025-09-07T09:34:37.8333629Z triton_mm_158 0.0075 ms 90.6% 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 2025-09-07T09:34:37.8334478Z triton_mm_162 0.0076 ms 89.5% 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=4, num_warps=8 2025-09-07T09:34:37.8335416Z triton_mm_160 0.0077 ms 88.4% 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 2025-09-07T09:34:37.8336496Z SingleProcess AUTOTUNE benchmarking takes 0.7430 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T09:34:38.6278403Z Autotune Choices Stats: 2025-09-07T09:34:38.6279485Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_190", "best_kernel_desc": "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", "best_time": 0.00723200011998415, "best_triton_pos": 0} 2025-09-07T09:34:38.6434818Z AUTOTUNE mm(128x512, 512x128) 2025-09-07T09:34:38.6435107Z strides: [512, 1], [1, 512] 2025-09-07T09:34:38.6435385Z dtypes: torch.float16, torch.float16 2025-09-07T09:34:38.6436065Z triton_mm_190 0.0072 ms 100.0% 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 2025-09-07T09:34:38.6437067Z triton_mm_194 0.0076 ms 95.4% 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 2025-09-07T09:34:38.6437863Z mm 0.0079 ms 91.9% 2025-09-07T09:34:38.6438445Z triton_mm_198 0.0084 ms 86.6% 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 2025-09-07T09:34:38.6439490Z triton_mm_189 0.0085 ms 85.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:34:38.6440375Z triton_mm_193 0.0086 ms 84.3% 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 2025-09-07T09:34:38.6441278Z triton_mm_187 0.0088 ms 82.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:34:38.6442187Z triton_mm_188 0.0089 ms 81.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:34:38.6443081Z triton_mm_197 0.0090 ms 80.1% 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 2025-09-07T09:34:38.6443981Z triton_mm_204 0.0096 ms 75.1% 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 2025-09-07T09:34:38.6444803Z SingleProcess AUTOTUNE benchmarking takes 0.2535 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:34:43.8744527Z Autotune Choices Stats: 2025-09-07T09:34:43.8745584Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_122", "best_kernel_desc": "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=5, num_warps=4", "best_time": 0.005919999908655882, "best_triton_pos": 0} 2025-09-07T09:34:43.9093040Z AUTOTUNE bmm(4x128x32, 4x32x128) 2025-09-07T09:34:43.9093354Z strides: [32, 128, 1], [32, 1, 128] 2025-09-07T09:34:43.9093640Z dtypes: torch.float16, torch.float16 2025-09-07T09:34:43.9094337Z triton_bmm_122 0.0059 ms 100.0% 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=5, num_warps=4 2025-09-07T09:34:43.9095460Z triton_bmm_121 0.0061 ms 97.4% 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=3, num_warps=8 2025-09-07T09:34:43.9096439Z triton_bmm_115 0.0061 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:34:43.9099041Z triton_bmm_120 0.0061 ms 96.4% 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=2, num_warps=4 2025-09-07T09:34:43.9100060Z triton_bmm_117 0.0063 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:34:43.9101395Z triton_bmm_118 0.0063 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:34:43.9102370Z triton_bmm_116 0.0063 ms 93.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:34:43.9103350Z triton_bmm_123 0.0064 ms 92.0% 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=3, num_warps=4 2025-09-07T09:34:43.9104333Z triton_bmm_126 0.0064 ms 92.0% 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 2025-09-07T09:34:43.9105320Z triton_bmm_124 0.0065 ms 91.6% 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 2025-09-07T09:34:43.9106183Z SingleProcess AUTOTUNE benchmarking takes 0.2451 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T09:34:44.1170630Z Autotune Choices Stats: 2025-09-07T09:34:44.1171620Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_133", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.006304000038653612, "best_triton_pos": 0} 2025-09-07T09:34:44.1896462Z AUTOTUNE bmm(4x128x128, 4x128x32) 2025-09-07T09:34:44.1896766Z strides: [16384, 128, 1], [32, 128, 1] 2025-09-07T09:34:44.1897063Z dtypes: torch.float16, torch.float16 2025-09-07T09:34:44.1898113Z triton_bmm_133 0.0063 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:34:44.1899155Z triton_bmm_138 0.0063 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:34:44.1900153Z triton_bmm_141 0.0064 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:34:44.1901248Z triton_bmm_134 0.0065 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:34:44.1902256Z triton_bmm_146 0.0068 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:34:44.1903248Z triton_bmm_147 0.0068 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:34:44.1904236Z triton_bmm_140 0.0068 ms 92.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:34:44.1905218Z triton_bmm_132 0.0069 ms 91.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:34:44.1906203Z triton_bmm_139 0.0070 ms 90.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:34:44.1907606Z triton_bmm_144 0.0070 ms 90.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:34:44.1908495Z SingleProcess AUTOTUNE benchmarking takes 0.2799 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T09:34:44.6040204Z Autotune Choices Stats: 2025-09-07T09:34:44.6041576Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_7679", "best_kernel_desc": "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", "best_time": 0.007648000027984381, "best_triton_pos": 0} 2025-09-07T09:34:44.6512969Z AUTOTUNE addmm(128x512, 128x512, 512x512) 2025-09-07T09:34:44.6513460Z strides: [0, 1], [512, 1], [1, 512] 2025-09-07T09:34:44.6513927Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:34:44.6515028Z triton_mm_7679 0.0076 ms 100.0% 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 2025-09-07T09:34:44.6516591Z triton_mm_7683 0.0081 ms 94.8% 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 2025-09-07T09:34:44.6518010Z bias_addmm 0.0082 ms 93.4% 2025-09-07T09:34:44.6518992Z triton_mm_7678 0.0090 ms 85.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:34:44.6520481Z triton_mm_7687 0.0090 ms 85.1% 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 2025-09-07T09:34:44.6522079Z triton_mm_7677 0.0093 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:34:44.6522992Z triton_mm_7682 0.0093 ms 82.4% 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=3, num_warps=8 2025-09-07T09:34:44.6523846Z triton_mm_7676 0.0095 ms 80.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:34:44.6524707Z triton_mm_7686 0.0098 ms 78.4% 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 2025-09-07T09:34:44.6525560Z triton_mm_7685 0.0105 ms 72.6% 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 2025-09-07T09:34:44.6526304Z SingleProcess AUTOTUNE benchmarking takes 0.3093 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T09:34:44.8935088Z Autotune Choices Stats: 2025-09-07T09:34:44.8936110Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_7711", "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": 0.02191999927163124, "best_triton_pos": 0} 2025-09-07T09:34:45.1070115Z AUTOTUNE mm(128x512, 512x30528) 2025-09-07T09:34:45.1070380Z strides: [512, 1], [30528, 1] 2025-09-07T09:34:45.1070621Z dtypes: torch.float16, torch.float16 2025-09-07T09:34:45.1071282Z triton_mm_7711 0.0219 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 2025-09-07T09:34:45.1072034Z mm 0.0225 ms 97.3% 2025-09-07T09:34:45.1072685Z triton_mm_7703 0.0237 ms 92.3% 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 2025-09-07T09:34:45.1073989Z triton_mm_7704 0.0239 ms 91.8% 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=4, num_warps=8 2025-09-07T09:34:45.1075006Z triton_mm_7710 0.0242 ms 90.5% 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 2025-09-07T09:34:45.1076198Z triton_mm_7705 0.0243 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 2025-09-07T09:34:45.1077197Z triton_mm_7708 0.0247 ms 88.8% 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 2025-09-07T09:34:45.1078544Z triton_mm_7712 0.0248 ms 88.3% 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 2025-09-07T09:34:45.1079542Z triton_mm_7707 0.0253 ms 86.5% 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 2025-09-07T09:34:45.1080551Z triton_mm_7701 0.0260 ms 84.5% 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 2025-09-07T09:34:45.1081442Z SingleProcess AUTOTUNE benchmarking takes 0.4551 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:35:32.0015171Z Autotune Choices Stats: 2025-09-07T09:35:32.0016902Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_7777", "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=8", "best_time": 0.0066559999249875546, "best_triton_pos": 0} 2025-09-07T09:35:32.0259536Z AUTOTUNE mm(512x128, 128x512) 2025-09-07T09:35:32.0259806Z strides: [1, 512], [512, 1] 2025-09-07T09:35:32.0260074Z dtypes: torch.float16, torch.float16 2025-09-07T09:35:32.0260786Z triton_mm_7777 0.0067 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=8 2025-09-07T09:35:32.0261794Z triton_mm_7773 0.0068 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:35:32.0262801Z triton_mm_7772 0.0068 ms 97.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:35:32.0263798Z triton_mm_7778 0.0068 ms 97.2% 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 2025-09-07T09:35:32.0264809Z triton_mm_7781 0.0070 ms 95.4% 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 2025-09-07T09:35:32.0265821Z triton_mm_7784 0.0071 ms 94.1% 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=4, num_warps=8 2025-09-07T09:35:32.0266919Z triton_mm_7780 0.0072 ms 92.4% 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 2025-09-07T09:35:32.0267683Z mm 0.0072 ms 92.0% 2025-09-07T09:35:32.0268260Z triton_mm_7779 0.0072 ms 92.0% 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=3, num_warps=4 2025-09-07T09:35:32.0269264Z triton_mm_7782 0.0072 ms 92.0% 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 2025-09-07T09:35:32.0270534Z SingleProcess AUTOTUNE benchmarking takes 0.2083 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T09:35:32.4352871Z Autotune Choices Stats: 2025-09-07T09:35:32.4353918Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_7811", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.006591999903321266, "best_triton_pos": 0} 2025-09-07T09:35:32.4724092Z AUTOTUNE mm(512x128, 128x128) 2025-09-07T09:35:32.4724383Z strides: [1, 512], [128, 1] 2025-09-07T09:35:32.4724658Z dtypes: torch.float16, torch.float16 2025-09-07T09:35:32.4725332Z triton_mm_7811 0.0066 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:35:32.4726375Z triton_mm_7815 0.0066 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=8 2025-09-07T09:35:32.4727535Z triton_mm_7809 0.0066 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:35:32.4728435Z triton_mm_7810 0.0066 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:35:32.4729306Z triton_mm_7816 0.0068 ms 96.7% 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 2025-09-07T09:35:32.4730171Z triton_mm_7819 0.0068 ms 96.3% 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 2025-09-07T09:35:32.4730709Z mm 0.0069 ms 95.4% 2025-09-07T09:35:32.4731206Z triton_mm_7822 0.0070 ms 93.6% 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 2025-09-07T09:35:32.4732056Z triton_mm_7818 0.0071 ms 93.2% 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=4, num_warps=8 2025-09-07T09:35:32.4732900Z triton_mm_7812 0.0072 ms 91.6% 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 2025-09-07T09:35:32.4733640Z SingleProcess AUTOTUNE benchmarking takes 0.2220 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:35:32.8427904Z Autotune Choices Stats: 2025-09-07T09:35:32.8428951Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_7849", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.006591999903321266, "best_triton_pos": 0} 2025-09-07T09:35:32.8841926Z AUTOTUNE mm(128x128, 128x512) 2025-09-07T09:35:32.8842222Z strides: [1, 128], [512, 1] 2025-09-07T09:35:32.8842489Z dtypes: torch.float16, torch.float16 2025-09-07T09:35:32.8843165Z triton_mm_7849 0.0066 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:35:32.8844168Z triton_mm_7853 0.0066 ms 99.5% 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 2025-09-07T09:35:32.8845124Z triton_mm_7848 0.0067 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:35:32.8846503Z triton_mm_7857 0.0069 ms 95.4% 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 2025-09-07T09:35:32.8847628Z triton_mm_7847 0.0070 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:35:32.8848701Z triton_mm_7854 0.0070 ms 93.6% 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 2025-09-07T09:35:32.8849231Z mm 0.0071 ms 93.2% 2025-09-07T09:35:32.8849735Z triton_mm_7860 0.0072 ms 92.0% 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 2025-09-07T09:35:32.8850588Z triton_mm_7858 0.0072 ms 91.2% 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 2025-09-07T09:35:32.8851457Z triton_mm_7855 0.0073 ms 90.7% 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 2025-09-07T09:35:32.8852201Z SingleProcess AUTOTUNE benchmarking takes 0.2230 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:35:35.3369783Z Autotune Choices Stats: 2025-09-07T09:35:35.3370866Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_8392", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.006591999903321266, "best_triton_pos": 0} 2025-09-07T09:35:35.3775217Z AUTOTUNE mm(128x128, 128x512) 2025-09-07T09:35:35.3775675Z strides: [128, 1], [512, 1] 2025-09-07T09:35:35.3776064Z dtypes: torch.float16, torch.float16 2025-09-07T09:35:35.3777104Z triton_mm_8392 0.0066 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:35:35.3778500Z triton_mm_8396 0.0066 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=8 2025-09-07T09:35:35.3779349Z triton_mm_8391 0.0066 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:35:35.3780205Z triton_mm_8397 0.0069 ms 95.8% 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 2025-09-07T09:35:35.3781050Z triton_mm_8390 0.0070 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:35:35.3781906Z triton_mm_8400 0.0070 ms 94.1% 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 2025-09-07T09:35:35.3782754Z triton_mm_8403 0.0070 ms 93.6% 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 2025-09-07T09:35:35.3783604Z triton_mm_8399 0.0072 ms 91.6% 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 2025-09-07T09:35:35.3784130Z mm 0.0072 ms 91.2% 2025-09-07T09:35:35.3784625Z triton_mm_8398 0.0072 ms 91.2% 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 2025-09-07T09:35:35.3785369Z SingleProcess AUTOTUNE benchmarking takes 0.2200 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:35:38.6736756Z Autotune Choices Stats: 2025-09-07T09:35:38.6739484Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_7755", "best_kernel_desc": "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", "best_time": 0.007552000228315592, "best_triton_pos": 0} 2025-09-07T09:35:38.7069442Z AUTOTUNE mm(128x512, 512x512) 2025-09-07T09:35:38.7069693Z strides: [512, 1], [512, 1] 2025-09-07T09:35:38.7069930Z dtypes: torch.float16, torch.float16 2025-09-07T09:35:38.7070558Z triton_mm_7755 0.0076 ms 100.0% 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 2025-09-07T09:35:38.7071150Z mm 0.0076 ms 99.2% 2025-09-07T09:35:38.7071688Z triton_mm_7759 0.0078 ms 97.1% 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 2025-09-07T09:35:38.7072608Z triton_mm_7754 0.0087 ms 87.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:35:38.7073520Z triton_mm_7763 0.0087 ms 87.1% 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 2025-09-07T09:35:38.7074439Z triton_mm_7758 0.0088 ms 86.1% 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 2025-09-07T09:35:38.7075362Z triton_mm_7753 0.0089 ms 84.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:35:38.7076274Z triton_mm_7762 0.0091 ms 82.8% 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 2025-09-07T09:35:38.7077187Z triton_mm_7752 0.0093 ms 81.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:35:38.7078303Z triton_mm_7761 0.0097 ms 77.6% 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 2025-09-07T09:35:38.7079107Z SingleProcess AUTOTUNE benchmarking takes 0.2222 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:35:39.1459625Z Autotune Choices Stats: 2025-09-07T09:35:39.1460566Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_8153", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.006591999903321266, "best_triton_pos": 0} 2025-09-07T09:35:39.1899463Z AUTOTUNE mm(128x128, 128x128) 2025-09-07T09:35:39.1899771Z strides: [1, 128], [128, 1] 2025-09-07T09:35:39.1899995Z dtypes: torch.float16, torch.float16 2025-09-07T09:35:39.1900613Z triton_mm_8153 0.0066 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:35:39.1901523Z triton_mm_8152 0.0067 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:35:39.1902390Z triton_mm_8157 0.0067 ms 98.6% 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 2025-09-07T09:35:39.1903265Z triton_mm_8161 0.0068 ms 97.2% 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 2025-09-07T09:35:39.1904452Z triton_mm_8160 0.0069 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=4, num_warps=8 2025-09-07T09:35:39.1905324Z triton_mm_8158 0.0069 ms 94.9% 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 2025-09-07T09:35:39.1906356Z triton_mm_8151 0.0070 ms 94.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:35:39.1906895Z mm 0.0070 ms 93.6% 2025-09-07T09:35:39.1907550Z triton_mm_8159 0.0071 ms 92.4% 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 2025-09-07T09:35:39.1908423Z triton_mm_8163 0.0071 ms 92.4% 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 2025-09-07T09:35:39.1909175Z SingleProcess AUTOTUNE benchmarking takes 0.2219 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:35:39.5591558Z Autotune Choices Stats: 2025-09-07T09:35:39.5592513Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_8297", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.006624000146985054, "best_triton_pos": 0} 2025-09-07T09:35:39.7243764Z AUTOTUNE mm(128x128, 128x128) 2025-09-07T09:35:39.7244267Z strides: [128, 1], [128, 1] 2025-09-07T09:35:39.7244695Z dtypes: torch.float16, torch.float16 2025-09-07T09:35:39.7245769Z triton_mm_8297 0.0066 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:35:39.7247894Z triton_mm_8296 0.0067 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:35:39.7249491Z triton_mm_8301 0.0067 ms 99.0% 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 2025-09-07T09:35:39.7250348Z triton_mm_8302 0.0067 ms 98.6% 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 2025-09-07T09:35:39.7250877Z mm 0.0068 ms 96.7% 2025-09-07T09:35:39.7251385Z triton_mm_8295 0.0069 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:35:39.7252249Z triton_mm_8305 0.0069 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 2025-09-07T09:35:39.7253097Z triton_mm_8308 0.0070 ms 94.1% 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=4, num_warps=8 2025-09-07T09:35:39.7253947Z triton_mm_8304 0.0071 ms 93.2% 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=4, num_warps=8 2025-09-07T09:35:39.7254788Z triton_mm_8303 0.0072 ms 92.4% 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 2025-09-07T09:35:39.7255635Z SingleProcess AUTOTUNE benchmarking takes 0.3575 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:35:40.6001193Z Autotune Choices Stats: 2025-09-07T09:35:40.6003532Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_7945", "best_kernel_desc": "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", "best_time": 0.00723200011998415, "best_triton_pos": 0} 2025-09-07T09:35:40.6689745Z AUTOTUNE mm(128x512, 512x128) 2025-09-07T09:35:40.6690023Z strides: [512, 1], [128, 1] 2025-09-07T09:35:40.6690301Z dtypes: torch.float16, torch.float16 2025-09-07T09:35:40.6690986Z triton_mm_7945 0.0072 ms 100.0% 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 2025-09-07T09:35:40.6692309Z triton_mm_7949 0.0076 ms 95.8% 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 2025-09-07T09:35:40.6692942Z mm 0.0077 ms 93.4% 2025-09-07T09:35:40.6693545Z triton_mm_7953 0.0084 ms 85.9% 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 2025-09-07T09:35:40.6694528Z triton_mm_7948 0.0085 ms 85.0% 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 2025-09-07T09:35:40.6695601Z triton_mm_7944 0.0088 ms 82.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:35:40.6696597Z triton_mm_7952 0.0089 ms 81.3% 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 2025-09-07T09:35:40.6697962Z triton_mm_7943 0.0090 ms 80.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:35:40.6699069Z triton_mm_7942 0.0092 ms 78.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:35:40.6700091Z triton_mm_7951 0.0096 ms 75.6% 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 2025-09-07T09:35:40.6700951Z SingleProcess AUTOTUNE benchmarking takes 0.2567 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:35:45.8650282Z Autotune Choices Stats: 2025-09-07T09:35:45.8651519Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.02191999927163124, "best_triton_pos": 1, "best_triton_time": 0.024768000468611717, "best_triton_kernel": "triton_mm_7722", "best_triton_kernel_desc": "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"} 2025-09-07T09:35:45.8892290Z AUTOTUNE mm(512x128, 128x30528) 2025-09-07T09:35:45.8892608Z strides: [1, 512], [30528, 1] 2025-09-07T09:35:45.8892877Z dtypes: torch.float16, torch.float16 2025-09-07T09:35:45.8893163Z mm 0.0219 ms 100.0% 2025-09-07T09:35:45.8893830Z triton_mm_7722 0.0248 ms 88.5% 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 2025-09-07T09:35:45.8894840Z triton_mm_7726 0.0253 ms 86.7% 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 2025-09-07T09:35:45.8895925Z triton_mm_7727 0.0268 ms 81.7% 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 2025-09-07T09:35:45.8896911Z triton_mm_7729 0.0269 ms 81.5% 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 2025-09-07T09:35:45.8898336Z triton_mm_7730 0.0278 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=3, num_warps=4 2025-09-07T09:35:45.8899853Z triton_mm_7723 0.0278 ms 78.7% 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 2025-09-07T09:35:45.8900984Z triton_mm_7725 0.0280 ms 78.3% 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 2025-09-07T09:35:45.8902101Z triton_mm_7719 0.0289 ms 75.9% 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 2025-09-07T09:35:45.8903015Z triton_mm_7724 0.0292 ms 75.2% 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 2025-09-07T09:35:45.8903820Z SingleProcess AUTOTUNE benchmarking takes 0.2629 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:35:46.9444223Z Autotune Choices Stats: 2025-09-07T09:35:46.9445574Z {"num_choices": 23, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.04131200164556503, "best_triton_pos": 4, "best_triton_time": 0.1863359957933426, "best_triton_kernel": "triton_mm_7736", "best_triton_kernel_desc": "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"} 2025-09-07T09:35:46.9554098Z AUTOTUNE mm(128x30522, 30522x512) 2025-09-07T09:35:46.9554408Z strides: [30528, 1], [1, 30528] 2025-09-07T09:35:46.9554687Z dtypes: torch.float16, torch.float16 2025-09-07T09:35:46.9554960Z mm 0.0413 ms 100.0% 2025-09-07T09:35:46.9555239Z decompose_k_mm_3_split_1 0.1191 ms 34.7% k_split=3 2025-09-07T09:35:46.9555580Z decompose_k_mm_6_split_2 0.1213 ms 34.0% k_split=6 2025-09-07T09:35:46.9555932Z decompose_k_mm_2_split_0 0.1641 ms 25.2% k_split=2 2025-09-07T09:35:46.9556635Z triton_mm_7736 0.1863 ms 22.2% 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 2025-09-07T09:35:46.9557814Z triton_mm_7733 0.2531 ms 16.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:35:46.9558803Z triton_mm_7740 0.2628 ms 15.7% 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 2025-09-07T09:35:46.9559774Z triton_mm_7739 0.2700 ms 15.3% 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 2025-09-07T09:35:46.9560760Z triton_mm_7735 0.2988 ms 13.8% 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 2025-09-07T09:35:46.9561711Z triton_mm_7734 0.3175 ms 13.0% 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 2025-09-07T09:35:46.9562462Z SingleProcess AUTOTUNE benchmarking takes 1.0642 seconds and 0.0002 seconds precompiling for 23 choices 2025-09-07T09:35:47.1230228Z Autotune Choices Stats: 2025-09-07T09:35:47.1231346Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_8171", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.006496000103652477, "best_triton_pos": 0} 2025-09-07T09:35:47.1846666Z AUTOTUNE bmm(4x128x128, 4x128x32) 2025-09-07T09:35:47.1847109Z strides: [16384, 1, 128], [32, 128, 1] 2025-09-07T09:35:47.1847768Z dtypes: torch.float16, torch.float16 2025-09-07T09:35:47.1848768Z triton_bmm_8171 0.0065 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:35:47.1850907Z triton_bmm_8179 0.0065 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:35:47.1852245Z triton_bmm_8172 0.0067 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:35:47.1853122Z triton_bmm_8176 0.0067 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:35:47.1853989Z triton_bmm_8184 0.0067 ms 96.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:35:47.1854859Z triton_bmm_8185 0.0067 ms 96.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:35:47.1855800Z triton_bmm_8177 0.0069 ms 94.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:35:47.1856655Z triton_bmm_8178 0.0069 ms 94.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:35:47.1857645Z triton_bmm_8182 0.0070 ms 92.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:35:47.1858189Z bmm 0.0071 ms 91.4% 2025-09-07T09:35:47.1858582Z SingleProcess AUTOTUNE benchmarking takes 0.2256 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T09:35:47.5541128Z Autotune Choices Stats: 2025-09-07T09:35:47.5542209Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_8206", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.006496000103652477, "best_triton_pos": 0} 2025-09-07T09:35:47.5622526Z AUTOTUNE bmm(4x32x128, 4x128x128) 2025-09-07T09:35:47.5622789Z strides: [32, 1, 128], [16384, 128, 1] 2025-09-07T09:35:47.5623084Z dtypes: torch.float16, torch.float16 2025-09-07T09:35:47.5623737Z triton_bmm_8206 0.0065 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:35:47.5624758Z triton_bmm_8207 0.0068 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:35:47.5625757Z triton_bmm_8204 0.0068 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:35:47.5626737Z triton_bmm_8210 0.0068 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:35:47.5628039Z triton_bmm_8205 0.0068 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:35:47.5629026Z triton_bmm_8211 0.0069 ms 94.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:35:47.5630016Z triton_bmm_8214 0.0069 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:35:47.5631258Z triton_bmm_8217 0.0069 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:35:47.5631885Z bmm 0.0071 ms 91.4% 2025-09-07T09:35:47.5632445Z triton_bmm_8213 0.0071 ms 91.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:35:47.5633412Z SingleProcess AUTOTUNE benchmarking takes 0.3756 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T09:35:58.8795605Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T09:35:58.8796866Z pred = mod(**cloned_inputs) 2025-09-07T09:35:58.8797864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 976, in forward 2025-09-07T09:35:58.8798577Z outputs = self.mobilebert( 2025-09-07T09:35:58.8799221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 791, in forward 2025-09-07T09:35:58.8799875Z embedding_output = self.embeddings( 2025-09-07T09:35:58.8800547Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 213, in forward 2025-09-07T09:35:58.8801276Z token_type_embeddings = self.token_type_embeddings(token_type_ids) 2025-09-07T09:35:58.8801570Z 2025-09-07T09:35:58.8801575Z 2025-09-07T09:36:01.0985458Z pass 2025-09-07T09:36:10.1325254Z /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. 2025-09-07T09:36:10.1326552Z import pynvml # type: ignore[import] 2025-09-07T09:36:13.2861128Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:36:13.2862506Z from pkg_resources import resource_filename 2025-09-07T09:36:13.8770617Z 2025-09-07T09:36:17.3471920Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:36:17.3472319Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:36:17.3472652Z cuda train MobileBertForQuestionAnswering 2025-09-07T09:37:31.0747819Z Autotune Choices Stats: 2025-09-07T09:37:31.0748880Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_7679", "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": 0.00687999976798892, "best_triton_pos": 0} 2025-09-07T09:37:31.2264966Z AUTOTUNE mm(128x512, 512x2) 2025-09-07T09:37:31.2265260Z strides: [512, 1], [1, 512] 2025-09-07T09:37:31.2265517Z dtypes: torch.float16, torch.float16 2025-09-07T09:37:31.2266196Z triton_mm_7679 0.0069 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 2025-09-07T09:37:31.2267204Z triton_mm_7685 0.0071 ms 96.8% 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 2025-09-07T09:37:31.2268505Z triton_mm_7690 0.0078 ms 87.8% 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 2025-09-07T09:37:31.2269930Z triton_mm_7682 0.0079 ms 87.4% 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 2025-09-07T09:37:31.2270945Z triton_mm_7677 0.0082 ms 84.3% 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 2025-09-07T09:37:31.2272107Z triton_mm_7678 0.0083 ms 83.0% 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 2025-09-07T09:37:31.2273120Z triton_mm_7676 0.0084 ms 82.1% 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 2025-09-07T09:37:31.2274093Z triton_mm_7689 0.0084 ms 81.4% 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 2025-09-07T09:37:31.2275005Z triton_mm_7684 0.0087 ms 78.8% 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 2025-09-07T09:37:31.2275575Z mm 0.0095 ms 72.4% 2025-09-07T09:37:31.2275992Z SingleProcess AUTOTUNE benchmarking takes 1.1793 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T09:38:22.2404096Z Autotune Choices Stats: 2025-09-07T09:38:22.2405794Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_7692", "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": 0.005727999843657017, "best_triton_pos": 0} 2025-09-07T09:38:22.4121154Z AUTOTUNE mm(128x2, 2x512) 2025-09-07T09:38:22.4121621Z strides: [2, 1], [512, 1] 2025-09-07T09:38:22.4122067Z dtypes: torch.float16, torch.float16 2025-09-07T09:38:22.4123197Z triton_mm_7692 0.0057 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 2025-09-07T09:38:22.4124940Z triton_mm_7698 0.0058 ms 99.4% 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=5, num_warps=4 2025-09-07T09:38:22.4126523Z triton_mm_7691 0.0058 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=1, num_warps=2 2025-09-07T09:38:22.4128614Z triton_mm_7693 0.0058 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 2025-09-07T09:38:22.4130115Z triton_mm_7696 0.0058 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 2025-09-07T09:38:22.4131028Z triton_mm_7697 0.0058 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=3, num_warps=8 2025-09-07T09:38:22.4131939Z triton_mm_7694 0.0058 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 2025-09-07T09:38:22.4132844Z triton_mm_7695 0.0058 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 2025-09-07T09:38:22.4133756Z triton_mm_7701 0.0060 ms 95.2% 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=4, num_warps=4 2025-09-07T09:38:22.4134672Z triton_mm_7702 0.0060 ms 95.2% 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 2025-09-07T09:38:22.4135565Z SingleProcess AUTOTUNE benchmarking takes 0.3315 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T09:38:26.1830956Z Autotune Choices Stats: 2025-09-07T09:38:26.1831954Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_7710", "best_kernel_desc": "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", "best_time": 0.006240000016987324, "best_triton_pos": 0} 2025-09-07T09:38:26.2206151Z AUTOTUNE mm(2x128, 128x512) 2025-09-07T09:38:26.2206596Z strides: [1, 2], [512, 1] 2025-09-07T09:38:26.2207013Z dtypes: torch.float16, torch.float16 2025-09-07T09:38:26.2208371Z triton_mm_7710 0.0062 ms 100.0% 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 2025-09-07T09:38:26.2209943Z triton_mm_7709 0.0063 ms 98.5% 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 2025-09-07T09:38:26.2211493Z triton_mm_7714 0.0064 ms 98.0% 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 2025-09-07T09:38:26.2212408Z triton_mm_7717 0.0067 ms 93.8% 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 2025-09-07T09:38:26.2213356Z triton_mm_7721 0.0067 ms 93.8% 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=4, num_warps=4 2025-09-07T09:38:26.2214266Z triton_mm_7723 0.0068 ms 92.4% 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 2025-09-07T09:38:26.2215245Z triton_mm_7716 0.0068 ms 91.5% 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=3, num_warps=4 2025-09-07T09:38:26.2216158Z triton_mm_7718 0.0068 ms 91.1% 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 2025-09-07T09:38:26.2217063Z triton_mm_7720 0.0068 ms 91.1% 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=3, num_warps=4 2025-09-07T09:38:26.2218110Z triton_mm_7708 0.0069 ms 90.7% 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 2025-09-07T09:38:26.2218905Z SingleProcess AUTOTUNE benchmarking takes 0.1977 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T09:38:38.6409371Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T09:38:38.6410372Z pred = mod(**cloned_inputs) 2025-09-07T09:38:38.6410946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 1242, in forward 2025-09-07T09:38:38.6411527Z outputs = self.mobilebert( 2025-09-07T09:38:38.6412080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 791, in forward 2025-09-07T09:38:38.6412679Z embedding_output = self.embeddings( 2025-09-07T09:38:38.6413237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 213, in forward 2025-09-07T09:38:38.6413907Z token_type_embeddings = self.token_type_embeddings(token_type_ids) 2025-09-07T09:38:38.6414171Z 2025-09-07T09:38:38.6414175Z 2025-09-07T09:38:40.8378531Z pass 2025-09-07T09:38:49.7112658Z /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. 2025-09-07T09:38:49.7113901Z import pynvml # type: ignore[import] 2025-09-07T09:38:52.8458717Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:38:52.8460096Z from pkg_resources import resource_filename 2025-09-07T09:38:53.4451453Z 2025-09-07T09:38:55.7302474Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:38:55.7302829Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:38:55.7303122Z cuda train OPTForCausalLM 2025-09-07T09:39:07.2795744Z Autotune Choices Stats: 2025-09-07T09:39:07.2797136Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.02163200080394745, "best_triton_pos": 1, "best_triton_time": 0.0272000003606081, "best_triton_kernel": "triton_mm_87", "best_triton_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=3, num_warps=4"} 2025-09-07T09:39:07.3279795Z AUTOTUNE mm(2048x768, 768x3072) 2025-09-07T09:39:07.3280106Z strides: [768, 1], [1, 768] 2025-09-07T09:39:07.3280385Z dtypes: torch.float16, torch.float16 2025-09-07T09:39:07.3280668Z mm 0.0216 ms 100.0% 2025-09-07T09:39:07.3281301Z triton_mm_87 0.0272 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 2025-09-07T09:39:07.3282363Z triton_mm_92 0.0288 ms 75.1% 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 2025-09-07T09:39:07.3283452Z triton_mm_93 0.0297 ms 72.8% 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 2025-09-07T09:39:07.3284401Z triton_mm_94 0.0316 ms 68.4% 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 2025-09-07T09:39:07.3285318Z triton_mm_88 0.0339 ms 63.8% 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 2025-09-07T09:39:07.3286217Z triton_mm_85 0.0352 ms 61.5% 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 2025-09-07T09:39:07.3287115Z triton_mm_83 0.0357 ms 60.5% 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 2025-09-07T09:39:07.3288183Z triton_mm_86 0.0369 ms 58.6% 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 2025-09-07T09:39:07.3289102Z triton_mm_90 0.0375 ms 57.6% 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 2025-09-07T09:39:07.3289904Z SingleProcess AUTOTUNE benchmarking takes 0.9964 seconds and 2.3848 seconds precompiling for 20 choices 2025-09-07T09:39:09.9386046Z Autotune Choices Stats: 2025-09-07T09:39:09.9387679Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010944000445306301, "best_triton_pos": 1, "best_triton_time": 0.01196799986064434, "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"} 2025-09-07T09:39:10.0933704Z AUTOTUNE mm(2048x768, 768x768) 2025-09-07T09:39:10.0933989Z strides: [768, 1], [1, 768] 2025-09-07T09:39:10.0934224Z dtypes: torch.float16, torch.float16 2025-09-07T09:39:10.0934470Z mm 0.0109 ms 100.0% 2025-09-07T09:39:10.0935354Z triton_mm_18 0.0120 ms 91.4% 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 2025-09-07T09:39:10.0936277Z triton_mm_11 0.0128 ms 85.3% 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 2025-09-07T09:39:10.0937177Z triton_mm_7 0.0129 ms 84.7% 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 2025-09-07T09:39:10.0938394Z triton_mm_17 0.0130 ms 84.0% 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 2025-09-07T09:39:10.0939299Z triton_mm_14 0.0140 ms 78.4% 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 2025-09-07T09:39:10.0940206Z triton_mm_10 0.0140 ms 77.9% 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 2025-09-07T09:39:10.0941109Z triton_mm_12 0.0144 ms 75.8% 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 2025-09-07T09:39:10.0942006Z triton_mm_9 0.0160 ms 68.3% 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 2025-09-07T09:39:10.0942900Z triton_mm_13 0.0162 ms 67.7% 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 2025-09-07T09:39:10.0943690Z SingleProcess AUTOTUNE benchmarking takes 0.8113 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:39:10.9095820Z Autotune Choices Stats: 2025-09-07T09:39:10.9097158Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.01152000017464161, "best_triton_pos": 1, "best_triton_time": 0.012992000207304955, "best_triton_kernel": "triton_mm_75", "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"} 2025-09-07T09:39:11.4300492Z AUTOTUNE addmm(2048x768, 2048x768, 768x768) 2025-09-07T09:39:11.4300825Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T09:39:11.4301152Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:39:11.4301485Z bias_addmm 0.0115 ms 100.0% 2025-09-07T09:39:11.4302138Z triton_mm_75 0.0130 ms 88.7% 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 2025-09-07T09:39:11.4303113Z triton_mm_68 0.0134 ms 85.7% 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 2025-09-07T09:39:11.4304079Z triton_mm_64 0.0136 ms 84.5% 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 2025-09-07T09:39:11.4305204Z triton_mm_74 0.0137 ms 84.1% 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 2025-09-07T09:39:11.4306178Z triton_mm_67 0.0146 ms 78.8% 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=4, num_warps=8 2025-09-07T09:39:11.4307772Z triton_mm_71 0.0147 ms 78.6% 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 2025-09-07T09:39:11.4308806Z triton_mm_69 0.0154 ms 74.7% 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 2025-09-07T09:39:11.4309615Z addmm 0.0163 ms 70.6% 2025-09-07T09:39:11.4310220Z triton_mm_66 0.0166 ms 69.5% 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 2025-09-07T09:39:11.4311078Z SingleProcess AUTOTUNE benchmarking takes 1.3328 seconds and 0.0003 seconds precompiling for 21 choices 2025-09-07T09:39:12.1714116Z Autotune Choices Stats: 2025-09-07T09:39:12.1715587Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.022272000089287758, "best_triton_pos": 1, "best_triton_time": 0.025855999439954758, "best_triton_kernel": "triton_mm_113", "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"} 2025-09-07T09:39:12.1753048Z AUTOTUNE addmm(2048x768, 2048x3072, 3072x768) 2025-09-07T09:39:12.1753350Z strides: [0, 1], [3072, 1], [1, 3072] 2025-09-07T09:39:12.1753651Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:39:12.1753974Z bias_addmm 0.0223 ms 100.0% 2025-09-07T09:39:12.1754606Z triton_mm_113 0.0259 ms 86.1% 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 2025-09-07T09:39:12.1755412Z addmm 0.0269 ms 82.7% 2025-09-07T09:39:12.1756096Z triton_mm_106 0.0318 ms 70.1% 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 2025-09-07T09:39:12.1757139Z triton_mm_107 0.0318 ms 70.1% 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 2025-09-07T09:39:12.1758319Z triton_mm_102 0.0324 ms 68.6% 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 2025-09-07T09:39:12.1759320Z triton_mm_112 0.0337 ms 66.0% 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 2025-09-07T09:39:12.1760311Z triton_mm_103 0.0355 ms 62.7% 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 2025-09-07T09:39:12.1761295Z triton_mm_105 0.0382 ms 58.2% 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=4, num_warps=8 2025-09-07T09:39:12.1762297Z triton_mm_109 0.0387 ms 57.6% 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 2025-09-07T09:39:12.1763172Z SingleProcess AUTOTUNE benchmarking takes 0.7445 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T09:39:24.6654652Z Autotune Choices Stats: 2025-09-07T09:39:24.6656022Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.22940799593925476, "best_triton_pos": 1, "best_triton_time": 0.28883200883865356, "best_triton_kernel": "triton_mm_131", "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"} 2025-09-07T09:39:24.8424675Z AUTOTUNE mm(2048x768, 768x50272) 2025-09-07T09:39:24.8424976Z strides: [768, 1], [1, 768] 2025-09-07T09:39:24.8425231Z dtypes: torch.float16, torch.float16 2025-09-07T09:39:24.8425876Z mm 0.2294 ms 100.0% 2025-09-07T09:39:24.8426510Z triton_mm_131 0.2888 ms 79.4% 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 2025-09-07T09:39:24.8427918Z triton_mm_130 0.3286 ms 69.8% 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 2025-09-07T09:39:24.8428912Z triton_mm_132 0.3305 ms 69.4% 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 2025-09-07T09:39:24.8429887Z triton_mm_125 0.3876 ms 59.2% 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 2025-09-07T09:39:24.8430832Z triton_mm_126 0.4654 ms 49.3% 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 2025-09-07T09:39:24.8431744Z triton_mm_127 0.4824 ms 47.6% 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 2025-09-07T09:39:24.8432687Z triton_mm_128 0.4839 ms 47.4% 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 2025-09-07T09:39:24.8433593Z triton_mm_123 0.4928 ms 46.5% 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 2025-09-07T09:39:24.8434486Z triton_mm_124 0.4970 ms 46.2% 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=4, num_warps=8 2025-09-07T09:39:24.8435277Z SingleProcess AUTOTUNE benchmarking takes 2.6385 seconds and 3.9591 seconds precompiling for 20 choices 2025-09-07T09:39:31.7660264Z Autotune Choices Stats: 2025-09-07T09:39:31.7662067Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.22047999501228333, "best_triton_pos": 1, "best_triton_time": 0.25625601410865784, "best_triton_kernel": "triton_mm_149", "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"} 2025-09-07T09:39:32.0612447Z AUTOTUNE mm(50272x2048, 2048x768) 2025-09-07T09:39:32.0612915Z strides: [1, 50304], [768, 1] 2025-09-07T09:39:32.0613272Z dtypes: torch.float16, torch.float16 2025-09-07T09:39:32.0613620Z mm 0.2205 ms 100.0% 2025-09-07T09:39:32.0614363Z triton_mm_149 0.2563 ms 86.0% 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 2025-09-07T09:39:32.0615803Z triton_mm_150 0.2724 ms 80.9% 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 2025-09-07T09:39:32.0617052Z triton_mm_151 0.2846 ms 77.5% 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=5, num_warps=8 2025-09-07T09:39:32.0618433Z triton_mm_142 0.3453 ms 63.8% 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 2025-09-07T09:39:32.0619286Z triton_mm_145 0.3571 ms 61.7% 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 2025-09-07T09:39:32.0620137Z triton_mm_144 0.3706 ms 59.5% 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 2025-09-07T09:39:32.1424733Z triton_mm_146 0.3980 ms 55.4% 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 2025-09-07T09:39:32.1426022Z triton_mm_143 0.4035 ms 54.6% 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 2025-09-07T09:39:32.1427975Z triton_mm_147 0.4220 ms 52.2% 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 2025-09-07T09:39:32.1429101Z SingleProcess AUTOTUNE benchmarking takes 2.2371 seconds and 0.3166 seconds precompiling for 20 choices 2025-09-07T09:39:33.7690622Z Autotune Choices Stats: 2025-09-07T09:39:33.7692602Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.22220799326896667, "best_triton_pos": 1, "best_triton_time": 0.3145279884338379, "best_triton_kernel": "triton_mm_170", "best_triton_kernel_desc": "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"} 2025-09-07T09:39:33.8101997Z AUTOTUNE mm(2048x50272, 50272x768) 2025-09-07T09:39:33.8102485Z strides: [50304, 1], [768, 1] 2025-09-07T09:39:33.8102753Z dtypes: torch.float16, torch.float16 2025-09-07T09:39:33.8103015Z mm 0.2222 ms 100.0% 2025-09-07T09:39:33.8103629Z triton_mm_170 0.3145 ms 70.6% 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 2025-09-07T09:39:33.8104647Z triton_mm_169 0.3683 ms 60.3% 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=3, num_warps=4 2025-09-07T09:39:33.8105662Z triton_mm_163 0.3999 ms 55.6% 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 2025-09-07T09:39:33.8106675Z triton_mm_164 0.4085 ms 54.4% 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 2025-09-07T09:39:33.8108148Z triton_mm_166 0.4476 ms 49.6% 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 2025-09-07T09:39:33.8109153Z triton_mm_160 0.4529 ms 49.1% 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 2025-09-07T09:39:33.8110154Z triton_mm_162 0.4557 ms 48.8% 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=4, num_warps=8 2025-09-07T09:39:33.8111140Z triton_mm_159 0.4967 ms 44.7% 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=8 2025-09-07T09:39:33.8112127Z triton_mm_161 0.5447 ms 40.8% 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 2025-09-07T09:39:33.8112954Z SingleProcess AUTOTUNE benchmarking takes 0.7550 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:39:37.2484326Z Autotune Choices Stats: 2025-09-07T09:39:37.2485468Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_187", "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": 0.021407999098300934, "best_triton_pos": 0} 2025-09-07T09:39:37.2711837Z AUTOTUNE mm(2048x768, 768x3072) 2025-09-07T09:39:37.2712150Z strides: [768, 1], [3072, 1] 2025-09-07T09:39:37.2712426Z dtypes: torch.float16, torch.float16 2025-09-07T09:39:37.2713791Z triton_mm_187 0.0214 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 2025-09-07T09:39:37.2714532Z mm 0.0215 ms 99.6% 2025-09-07T09:39:37.2715156Z triton_mm_188 0.0232 ms 92.1% 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 2025-09-07T09:39:37.2716472Z triton_mm_189 0.0265 ms 80.9% 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 2025-09-07T09:39:37.2717918Z triton_mm_180 0.0275 ms 77.8% 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 2025-09-07T09:39:37.2718966Z triton_mm_182 0.0278 ms 77.0% 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 2025-09-07T09:39:37.2719996Z triton_mm_181 0.0283 ms 75.6% 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 2025-09-07T09:39:37.2721056Z triton_mm_185 0.0319 ms 67.2% 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 2025-09-07T09:39:37.2722102Z triton_mm_183 0.0339 ms 63.2% 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 2025-09-07T09:39:37.2723142Z triton_mm_178 0.0344 ms 62.2% 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 2025-09-07T09:39:37.2724059Z SingleProcess AUTOTUNE benchmarking takes 0.2873 seconds and 0.5263 seconds precompiling for 20 choices 2025-09-07T09:39:37.7540032Z Autotune Choices Stats: 2025-09-07T09:39:37.7541513Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.019487999379634857, "best_triton_pos": 1, "best_triton_time": 0.024607999250292778, "best_triton_kernel": "triton_mm_201", "best_triton_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=3, num_warps=4"} 2025-09-07T09:39:37.7986172Z AUTOTUNE mm(768x2048, 2048x3072) 2025-09-07T09:39:37.7986578Z strides: [1, 768], [3072, 1] 2025-09-07T09:39:37.7986930Z dtypes: torch.float16, torch.float16 2025-09-07T09:39:37.7987686Z mm 0.0195 ms 100.0% 2025-09-07T09:39:37.7988523Z triton_mm_201 0.0246 ms 79.2% 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 2025-09-07T09:39:37.7989916Z triton_mm_207 0.0287 ms 67.8% 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 2025-09-07T09:39:37.7991263Z triton_mm_200 0.0297 ms 65.6% 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 2025-09-07T09:39:37.7992606Z triton_mm_204 0.0306 ms 63.6% 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 2025-09-07T09:39:37.7993939Z triton_mm_202 0.0311 ms 62.7% 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 2025-09-07T09:39:37.7995267Z triton_mm_199 0.0321 ms 60.7% 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 2025-09-07T09:39:37.7997118Z triton_mm_208 0.0330 ms 59.1% 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 2025-09-07T09:39:37.7998641Z triton_mm_206 0.0334 ms 58.3% 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 2025-09-07T09:39:37.8000263Z triton_mm_203 0.0335 ms 58.2% 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=3, num_warps=4 2025-09-07T09:39:37.8001425Z SingleProcess AUTOTUNE benchmarking takes 0.3094 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:39:38.4616824Z Autotune Choices Stats: 2025-09-07T09:39:38.4619108Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.019200000911951065, "best_triton_pos": 1, "best_triton_time": 0.025887999683618546, "best_triton_kernel": "triton_mm_239", "best_triton_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=3, num_warps=4"} 2025-09-07T09:39:38.6641549Z AUTOTUNE mm(3072x2048, 2048x768) 2025-09-07T09:39:38.6641859Z strides: [1, 3072], [768, 1] 2025-09-07T09:39:38.6642117Z dtypes: torch.float16, torch.float16 2025-09-07T09:39:38.6642369Z mm 0.0192 ms 100.0% 2025-09-07T09:39:38.6642932Z triton_mm_239 0.0259 ms 74.2% 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 2025-09-07T09:39:38.6644053Z triton_mm_245 0.0283 ms 68.0% 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 2025-09-07T09:39:38.6645028Z triton_mm_238 0.0301 ms 63.8% 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=4, num_warps=8 2025-09-07T09:39:38.6646017Z triton_mm_242 0.0307 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 2025-09-07T09:39:38.6647039Z triton_mm_240 0.0314 ms 61.1% 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 2025-09-07T09:39:38.6648484Z triton_mm_237 0.0320 ms 59.9% 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 2025-09-07T09:39:38.6649465Z triton_mm_244 0.0327 ms 58.8% 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 2025-09-07T09:39:38.6650436Z triton_mm_241 0.0329 ms 58.4% 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 2025-09-07T09:39:38.6651412Z triton_mm_246 0.0332 ms 57.8% 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 2025-09-07T09:39:38.6652271Z SingleProcess AUTOTUNE benchmarking takes 0.4632 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:39:38.9358864Z Autotune Choices Stats: 2025-09-07T09:39:38.9360223Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01190400030463934, "best_triton_pos": 1, "best_triton_time": 0.01321600005030632, "best_triton_kernel": "triton_mm_278", "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"} 2025-09-07T09:39:38.9678228Z AUTOTUNE mm(768x2048, 2048x768) 2025-09-07T09:39:38.9678590Z strides: [1, 768], [768, 1] 2025-09-07T09:39:38.9678878Z dtypes: torch.float16, torch.float16 2025-09-07T09:39:38.9679678Z mm 0.0119 ms 100.0% 2025-09-07T09:39:38.9680337Z triton_mm_278 0.0132 ms 90.1% 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 2025-09-07T09:39:38.9681570Z triton_mm_274 0.0175 ms 68.0% 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 2025-09-07T09:39:38.9682558Z triton_mm_284 0.0175 ms 68.0% 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 2025-09-07T09:39:38.9683568Z triton_mm_277 0.0191 ms 62.4% 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 2025-09-07T09:39:38.9684441Z triton_mm_273 0.0193 ms 61.8% 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 2025-09-07T09:39:38.9685301Z triton_mm_283 0.0209 ms 57.1% 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 2025-09-07T09:39:38.9686156Z triton_mm_276 0.0212 ms 56.1% 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 2025-09-07T09:39:38.9687019Z triton_mm_270 0.0213 ms 55.8% 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 2025-09-07T09:39:38.9688026Z triton_mm_280 0.0216 ms 55.1% 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=4, num_warps=8 2025-09-07T09:39:38.9688776Z SingleProcess AUTOTUNE benchmarking takes 0.2581 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:39:40.6732304Z Autotune Choices Stats: 2025-09-07T09:39:40.6734308Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.022016000002622604, "best_triton_pos": 1, "best_triton_time": 0.02505600079894066, "best_triton_kernel": "triton_mm_227", "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"} 2025-09-07T09:39:40.8011283Z AUTOTUNE mm(2048x3072, 3072x768) 2025-09-07T09:39:40.8011718Z strides: [3072, 1], [768, 1] 2025-09-07T09:39:40.8012127Z dtypes: torch.float16, torch.float16 2025-09-07T09:39:40.8012535Z mm 0.0220 ms 100.0% 2025-09-07T09:39:40.8013452Z triton_mm_227 0.0251 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=5, num_warps=8 2025-09-07T09:39:40.8014729Z triton_mm_221 0.0298 ms 73.8% 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 2025-09-07T09:39:40.8015802Z triton_mm_220 0.0300 ms 73.3% 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 2025-09-07T09:39:40.8016769Z triton_mm_216 0.0315 ms 69.8% 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 2025-09-07T09:39:40.8018384Z triton_mm_226 0.0320 ms 68.7% 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 2025-09-07T09:39:40.8019363Z triton_mm_217 0.0331 ms 66.5% 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 2025-09-07T09:39:40.8020768Z triton_mm_219 0.0361 ms 61.0% 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 2025-09-07T09:39:40.8021759Z triton_mm_223 0.0364 ms 60.4% 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 2025-09-07T09:39:40.8022914Z triton_mm_218 0.0441 ms 49.9% 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 2025-09-07T09:39:40.8023808Z SingleProcess AUTOTUNE benchmarking takes 0.4024 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:39:41.0065217Z Autotune Choices Stats: 2025-09-07T09:39:41.0066475Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01071999967098236, "best_triton_pos": 1, "best_triton_time": 0.01190400030463934, "best_triton_kernel": "triton_mm_265", "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"} 2025-09-07T09:39:41.0411241Z AUTOTUNE mm(2048x768, 768x768) 2025-09-07T09:39:41.0411686Z strides: [768, 1], [768, 1] 2025-09-07T09:39:41.0412132Z dtypes: torch.float16, torch.float16 2025-09-07T09:39:41.0412581Z mm 0.0107 ms 100.0% 2025-09-07T09:39:41.0413594Z triton_mm_265 0.0119 ms 90.1% 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 2025-09-07T09:39:41.0415040Z triton_mm_258 0.0125 ms 85.5% 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 2025-09-07T09:39:41.0416018Z triton_mm_264 0.0126 ms 84.8% 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 2025-09-07T09:39:41.0416991Z triton_mm_254 0.0128 ms 84.0% 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 2025-09-07T09:39:41.0418136Z triton_mm_257 0.0132 ms 80.9% 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 2025-09-07T09:39:41.0419112Z triton_mm_261 0.0136 ms 79.0% 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 2025-09-07T09:39:41.0420082Z triton_mm_259 0.0141 ms 75.8% 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 2025-09-07T09:39:41.0421056Z triton_mm_256 0.0150 ms 71.3% 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 2025-09-07T09:39:41.0422034Z triton_mm_260 0.0158 ms 68.0% 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 2025-09-07T09:39:41.0422899Z SingleProcess AUTOTUNE benchmarking takes 0.2390 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:39:44.4284158Z 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/transformers/models/opt/modeling_opt.py", line 76, in forward 2025-09-07T09:39:44.4285292Z return super().forward(position_ids + self.offset) 2025-09-07T09:39:44.4285539Z 2025-09-07T09:39:44.4285544Z 2025-09-07T09:39:45.3576417Z pass 2025-09-07T09:39:48.0697759Z accuracy pass_rate=100.00% 2025-09-07T09:39:48.0702532Z calls_captured gmean=645.68x mean=1306.444x 2025-09-07T09:39:48.0705808Z unique_graphs gmean=2.46x mean=3.556x 2025-09-07T09:39:48.2575624Z graph_breaks gmean=4.93x mean=5.222x 2025-09-07T09:39:48.2576337Z unique_graph_breaks gmean=4.04x mean=4.111x 2025-09-07T09:39:48.2576848Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:39:48.2577805Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:39:48.2578721Z cudagraph_skips gmean=1.22x mean=1.333x 2025-09-07T09:39:48.2579211Z compilation_latency mean=100.288 seconds 2025-09-07T09:39:49.4813785Z + [[ 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* ]] 2025-09-07T09:39:49.4815920Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:39:49.4816343Z + for target in "${targets[@]}" 2025-09-07T09:39:49.4816733Z + target_flag=('--performance') 2025-09-07T09:39:49.4817094Z + local target_flag 2025-09-07T09:39:49.4818053Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T09:39:49.4818524Z + target_flag+=(--cold-start-latency) 2025-09-07T09:39:49.4820269Z + [[ 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* ]] 2025-09-07T09:39:49.4823132Z + [[ 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* ]] 2025-09-07T09:39:49.4826254Z + python benchmarks/dynamo/huggingface.py --performance --cold-start-latency --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 3 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance.csv 2025-09-07T09:39:50.9478944Z /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. 2025-09-07T09:39:50.9480824Z import pynvml # type: ignore[import] 2025-09-07T09:39:54.4757064Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:39:54.4759086Z from pkg_resources import resource_filename 2025-09-07T09:39:56.7408414Z /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. 2025-09-07T09:39:56.7410244Z import pynvml # type: ignore[import] 2025-09-07T09:39:59.7998211Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:39:59.7999672Z from pkg_resources import resource_filename 2025-09-07T09:40:00.4188543Z 2025-09-07T09:40:10.2888861Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:40:10.2889432Z loading model: 0it [00:09, ?it/s] 2025-09-07T09:40:10.2889933Z cuda train M2M100ForConditionalGeneration 2025-09-07T09:40:25.7763905Z 2025-09-07T09:40:25.9154872Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:42:58.6100543Z 2025-09-07T09:42:58.7725234Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:45:06.5364207Z 2025-09-07T09:45:06.6993100Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:47:11.6895211Z 2025-09-07T09:47:11.8586742Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:55:05.6813101Z 2025-09-07T09:55:05.8695042Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:57:16.3941052Z 2025-09-07T09:57:16.5818026Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:59:25.7506859Z 2025-09-07T09:59:25.9727256Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:07:18.7352543Z 2025-09-07T10:07:18.9233703Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:09:31.3103236Z 2025-09-07T10:09:31.4961481Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:11:41.3364374Z 2025-09-07T10:11:41.5558615Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:21:04.5315622Z 2025-09-07T10:21:04.6819249Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:24:51.1621102Z 2025-09-07T10:24:51.3113450Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:28:40.0084948Z 2025-09-07T10:28:40.1870760Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:50:08.4678951Z 2025-09-07T10:50:08.6562633Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:52:40.9394854Z 2025-09-07T10:52:41.1277204Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:55:13.1388353Z 2025-09-07T10:55:13.3626765Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T12:44:24.6545997Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T12:44:24.6561801Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:44:24.6562088Z env: 2025-09-07T12:44:24.6562258Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:44:24.6562511Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:44:24.6562855Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:44:24.6563271Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:44:24.6563632Z ##[endgroup] 2025-09-07T12:44:24.6597876Z + [[ -n '' ]] 2025-09-07T12:44:24.6598172Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T12:44:24.9292470Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T12:44:25.6431406Z Collecting boto3==1.35.33 2025-09-07T12:44:25.6788232Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T12:44:25.7049068Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.1/139.1 KB 5.4 MB/s eta 0:00:00 2025-09-07T12:44:25.8417922Z Collecting psutil==7.0.0 2025-09-07T12:44:25.8446925Z 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) 2025-09-07T12:44:25.8592639Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 278.0/278.0 KB 21.0 MB/s eta 0:00:00 2025-09-07T12:44:25.8750590Z Collecting pynvml==12.0.0 2025-09-07T12:44:25.8783230Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T12:44:25.9095546Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T12:44:25.9120272Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T12:44:25.9164333Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.2/83.2 KB 25.7 MB/s eta 0:00:00 2025-09-07T12:44:26.6206571Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T12:44:26.6265406Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T12:44:26.7331917Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.3/13.3 MB 123.1 MB/s eta 0:00:00 2025-09-07T12:44:26.7704973Z Collecting jmespath<2.0.0,>=0.7.1 2025-09-07T12:44:26.7732155Z Downloading jmespath-1.0.1-py3-none-any.whl (20 kB) 2025-09-07T12:44:26.8109841Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T12:44:26.8144485Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T12:44:26.8187994Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.5/47.5 KB 13.9 MB/s eta 0:00:00 2025-09-07T12:44:26.8251536Z 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) 2025-09-07T12:44:26.8258144Z 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) 2025-09-07T12:44:27.1188298Z Installing collected packages: nvidia-ml-py, pynvml, psutil, jmespath, botocore, s3transfer, boto3 2025-09-07T12:44:27.1189148Z Attempting uninstall: nvidia-ml-py 2025-09-07T12:44:27.1194031Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T12:44:27.1230229Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T12:44:27.1256299Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T12:44:27.1797175Z Attempting uninstall: psutil 2025-09-07T12:44:27.1803193Z Found existing installation: psutil 5.9.8 2025-09-07T12:44:27.1963547Z Uninstalling psutil-5.9.8: 2025-09-07T12:44:27.1972398Z Successfully uninstalled psutil-5.9.8 2025-09-07T12:44:27.9084472Z 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 2025-09-07T12:44:28.0045012Z + DEVICE_NAME= 2025-09-07T12:44:28.0045271Z + DEVICE_TYPE= 2025-09-07T12:44:28.0045505Z + command -v nvidia-smi 2025-09-07T12:44:28.0046364Z /usr/bin/nvidia-smi 2025-09-07T12:44:28.0046768Z + python3 -mpip install torch==2.7.1 2025-09-07T12:44:28.2683372Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T12:44:28.4914727Z Collecting torch==2.7.1 2025-09-07T12:44:28.5264929Z Downloading torch-2.7.1-cp310-cp310-manylinux_2_28_x86_64.whl (821.2 MB) 2025-09-07T12:44:43.7235803Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 821.2/821.2 MB 899.5 kB/s eta 0:00:00 2025-09-07T12:44:44.9501471Z Collecting triton==3.3.1 2025-09-07T12:44:44.9559528Z Downloading triton-3.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-09-07T12:44:50.6160267Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.6/155.6 MB 2.0 MB/s eta 0:00:00 2025-09-07T12:44:51.1229104Z Collecting filelock 2025-09-07T12:44:51.1259862Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-09-07T12:44:51.9951641Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-09-07T12:44:52.0008969Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-09-07T12:44:55.0510247Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 216.6/216.6 MB 4.8 MB/s eta 0:00:00 2025-09-07T12:44:55.2949025Z Collecting networkx 2025-09-07T12:44:55.2976768Z Downloading networkx-3.4.2-py3-none-any.whl (1.7 MB) 2025-09-07T12:44:55.3163701Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 101.8 MB/s eta 0:00:00 2025-09-07T12:44:55.3524306Z Collecting jinja2 2025-09-07T12:44:55.3549459Z Downloading jinja2-3.1.6-py3-none-any.whl (134 kB) 2025-09-07T12:44:55.3632688Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 134.9/134.9 KB 18.8 MB/s eta 0:00:00 2025-09-07T12:44:55.3914865Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-09-07T12:44:55.3959643Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-09-07T12:44:55.5339027Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.7/19.7 MB 105.7 MB/s eta 0:00:00 2025-09-07T12:44:55.5822321Z Collecting nvidia-nccl-cu12==2.26.2 2025-09-07T12:44:55.5850500Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-09-07T12:44:57.6509361Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 201.3/201.3 MB 8.4 MB/s eta 0:00:00 2025-09-07T12:44:57.8641514Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-09-07T12:44:57.8696170Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-09-07T12:44:59.8756080Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 200.2/200.2 MB 8.6 MB/s eta 0:00:00 2025-09-07T12:45:00.0873504Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-09-07T12:45:00.0926862Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-09-07T12:45:05.3169166Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 393.1/393.1 MB 3.2 MB/s eta 0:00:00 2025-09-07T12:45:05.7098313Z Collecting sympy>=1.13.3 2025-09-07T12:45:05.7125812Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-09-07T12:45:05.7612856Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/6.3 MB 134.8 MB/s eta 0:00:00 2025-09-07T12:45:05.8241475Z Collecting fsspec 2025-09-07T12:45:05.8267856Z Downloading fsspec-2025.9.0-py3-none-any.whl (199 kB) 2025-09-07T12:45:05.8367863Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.3/199.3 KB 23.0 MB/s eta 0:00:00 2025-09-07T12:45:05.8666742Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-09-07T12:45:05.8697960Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-09-07T12:45:07.2464411Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 158.2/158.2 MB 13.8 MB/s eta 0:00:00 2025-09-07T12:45:07.4250777Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-09-07T12:45:07.4301336Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-09-07T12:45:16.4625470Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 571.0/571.0 MB 1.6 MB/s eta 0:00:00 2025-09-07T12:45:17.1658760Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-09-07T12:45:17.1709270Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-09-07T12:45:17.2394959Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.9/8.9 MB 133.7 MB/s eta 0:00:00 2025-09-07T12:45:17.2798177Z Collecting nvidia-curand-cu12==10.3.7.77 2025-09-07T12:45:17.2872348Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-09-07T12:45:17.7582462Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.3/56.3 MB 40.6 MB/s eta 0:00:00 2025-09-07T12:45:17.8423759Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-09-07T12:45:17.8452474Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-09-07T12:45:17.8616400Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 897.7/897.7 KB 62.9 MB/s eta 0:00:00 2025-09-07T12:45:17.8958135Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-09-07T12:45:17.8998532Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-09-07T12:45:18.0580887Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 100.7 MB/s eta 0:00:00 2025-09-07T12:45:18.1108634Z Collecting nvidia-nvtx-cu12==12.6.77 2025-09-07T12:45:18.1137470Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-09-07T12:45:18.1220464Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 89.3/89.3 KB 11.8 MB/s eta 0:00:00 2025-09-07T12:45:18.1441721Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-09-07T12:45:18.1467883Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-09-07T12:45:18.1619079Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 86.8 MB/s eta 0:00:00 2025-09-07T12:45:18.1858236Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-09-07T12:45:18.1922550Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-09-07T12:45:20.6704414Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 156.8/156.8 MB 5.5 MB/s eta 0:00:00 2025-09-07T12:45:20.8111078Z 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) 2025-09-07T12:45:20.8354745Z 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) 2025-09-07T12:45:20.8649740Z Collecting mpmath<1.4,>=1.1.0 2025-09-07T12:45:20.8676620Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-09-07T12:45:20.8786022Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 536.2/536.2 KB 58.9 MB/s eta 0:00:00 2025-09-07T12:45:21.0636693Z Collecting MarkupSafe>=2.0 2025-09-07T12:45:21.0665377Z Downloading MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20 kB) 2025-09-07T12:45:21.3808926Z 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 2025-09-07T12:45:25.4030674Z WARNING: The scripts proton and proton-viewer are installed in '/home/bob/.local/bin' which is not on PATH. 2025-09-07T12:45:25.4031637Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T12:45:28.9847139Z WARNING: The script isympy is installed in '/home/bob/.local/bin' which is not on PATH. 2025-09-07T12:45:28.9850099Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T12:46:06.1116618Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/bob/.local/bin' which is not on PATH. 2025-09-07T12:46:06.1118516Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T12:46:07.0979075Z 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 2025-09-07T12:46:07.7933927Z + echo DEVICE_NAME= 2025-09-07T12:46:07.7935405Z + echo DEVICE_TYPE= 2025-09-07T12:46:07.8288250Z ##[group]Run set -eux 2025-09-07T12:46:07.8288491Z set -eux 2025-09-07T12:46:07.8288676Z  2025-09-07T12:46:07.8288865Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T12:46:07.8289156Z  echo "Missing github-token input" 2025-09-07T12:46:07.8289436Z  exit 1 2025-09-07T12:46:07.8289615Z fi 2025-09-07T12:46:07.8305156Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:46:07.8305447Z env: 2025-09-07T12:46:07.8305614Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:07.8305868Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:07.8306208Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:07.8306650Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:07.8307030Z DEVICE_NAME: 2025-09-07T12:46:07.8307215Z DEVICE_TYPE: 2025-09-07T12:46:07.8307733Z GITHUB_TOKEN: *** 2025-09-07T12:46:07.8307920Z ##[endgroup] 2025-09-07T12:46:07.8752014Z + [[ -z *** ]] 2025-09-07T12:46:07.9213861Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T12:46:07.9214219Z with: 2025-09-07T12:46:07.9214605Z github-token: *** 2025-09-07T12:46:07.9214895Z env: 2025-09-07T12:46:07.9215066Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:07.9215349Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:07.9215710Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:07.9216159Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:07.9216537Z DEVICE_NAME: 2025-09-07T12:46:07.9216712Z DEVICE_TYPE: 2025-09-07T12:46:07.9216889Z ##[endgroup] 2025-09-07T12:46:07.9660105Z ##[group]Run set -eux 2025-09-07T12:46:07.9660339Z set -eux 2025-09-07T12:46:07.9660513Z  2025-09-07T12:46:07.9660859Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T12:46:07.9676334Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:46:07.9676633Z env: 2025-09-07T12:46:07.9676799Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:07.9677057Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:07.9677536Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:07.9678112Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:07.9678472Z DEVICE_NAME: 2025-09-07T12:46:07.9678647Z DEVICE_TYPE: 2025-09-07T12:46:07.9679055Z GITHUB_TOKEN: *** 2025-09-07T12:46:07.9679235Z ##[endgroup] 2025-09-07T12:46:08.0156771Z + python3 /home/bob/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525296438 i-0d3ed1ff3ccbeec77-1002 2025-09-07T12:46:09.0113418Z setting job-id=49775781828 2025-09-07T12:46:09.0114176Z setting job-name=test-weekly / test (inductor_huggingface_perf_cuda_h100, 4, 5, linux.aws.h100) 2025-09-07T12:46:09.0473322Z ##[group]Run set -eux 2025-09-07T12:46:09.0473695Z set -eux 2025-09-07T12:46:09.0473979Z  2025-09-07T12:46:09.0474250Z if [[ -n "" ]]; then 2025-09-07T12:46:09.0474585Z  source "" 2025-09-07T12:46:09.0474887Z fi 2025-09-07T12:46:09.0475163Z  2025-09-07T12:46:09.0475641Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T12:46:09.0476107Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T12:46:09.0476372Z  --repo "${REPO}" \ 2025-09-07T12:46:09.0476597Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T12:46:09.0476842Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T12:46:09.0477704Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T12:46:09.0478108Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T12:46:09.0478363Z  --job-id "${JOB_ID}" \ 2025-09-07T12:46:09.0478583Z  --job-name "${JOB_NAME}" 2025-09-07T12:46:09.0497844Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:46:09.0498141Z env: 2025-09-07T12:46:09.0498309Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:09.0498573Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:09.0498932Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:09.0499536Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:09.0499895Z DEVICE_NAME: 2025-09-07T12:46:09.0500063Z DEVICE_TYPE: 2025-09-07T12:46:09.0500231Z SCHEMA_VERSION: v3 2025-09-07T12:46:09.0500418Z REPO: pytorch/pytorch 2025-09-07T12:46:09.0500604Z HEAD_BRANCH: refs/heads/main 2025-09-07T12:46:09.0500846Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T12:46:09.0501100Z WORKFLOW_RUN_ID: 17525296438 2025-09-07T12:46:09.0501292Z RUN_ATTEMPT: 1 2025-09-07T12:46:09.0501461Z JOB_ID: 49775781828 2025-09-07T12:46:09.0501773Z JOB_NAME: test-weekly / test (inductor_huggingface_perf_cuda_h100, 4, 5, linux.aws.h100) 2025-09-07T12:46:09.0502115Z ##[endgroup] 2025-09-07T12:46:09.0959009Z + [[ -n '' ]] 2025-09-07T12:46:09.1226288Z + 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 49775781828 --job-name 'test-weekly / test (inductor_huggingface_perf_cuda_h100, 4, 5, linux.aws.h100)' 2025-09-07T12:46:09.1431980Z ##[group]Run set -eux 2025-09-07T12:46:09.1432243Z set -eux 2025-09-07T12:46:09.1432449Z  2025-09-07T12:46:09.1432665Z if [[ -n "" ]]; then 2025-09-07T12:46:09.1432918Z  source "" 2025-09-07T12:46:09.1433129Z fi 2025-09-07T12:46:09.1433328Z  2025-09-07T12:46:09.1433701Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T12:46:09.1449668Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:46:09.1449977Z env: 2025-09-07T12:46:09.1450164Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:09.1450422Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:09.1450943Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:09.1451576Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:09.1452149Z DEVICE_NAME: 2025-09-07T12:46:09.1452416Z DEVICE_TYPE: 2025-09-07T12:46:09.1452675Z ##[endgroup] 2025-09-07T12:46:09.1891464Z + [[ -n '' ]] 2025-09-07T12:46:09.1892050Z + python3 /home/bob/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T12:46:09.9450247Z /home/bob/.local/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-09-07T12:46:09.9451370Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-09-07T12:46:11.5323607Z ##[group]Run set -eux 2025-09-07T12:46:11.5323836Z set -eux 2025-09-07T12:46:11.5324021Z  2025-09-07T12:46:11.5324209Z # TODO (huydhn): Implement this part 2025-09-07T12:46:11.5324514Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T12:46:11.5340129Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:46:11.5340426Z env: 2025-09-07T12:46:11.5340588Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:11.5340851Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:11.5341407Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:11.5341850Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:11.5342207Z DEVICE_NAME: 2025-09-07T12:46:11.5342379Z DEVICE_TYPE: 2025-09-07T12:46:11.5342547Z ##[endgroup] 2025-09-07T12:46:11.5803388Z + echo 'dependencies={}' 2025-09-07T12:46:11.6626433Z ##[group]Run set -eux 2025-09-07T12:46:11.6626690Z set -eux 2025-09-07T12:46:11.6626883Z  2025-09-07T12:46:11.6627079Z if [[ -n "" ]]; then 2025-09-07T12:46:11.6627489Z  source "" 2025-09-07T12:46:11.6627897Z fi 2025-09-07T12:46:11.6628088Z  2025-09-07T12:46:11.6628322Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T12:46:11.6628702Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T12:46:11.6629125Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T12:46:11.6629487Z  exit 0 2025-09-07T12:46:11.6629682Z fi 2025-09-07T12:46:11.6629855Z  2025-09-07T12:46:11.6630055Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T12:46:11.6630472Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T12:46:11.6630955Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T12:46:11.6631316Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T12:46:11.6631617Z  --runners "${RUNNER_INFO}" \ 2025-09-07T12:46:11.6631911Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T12:46:11.6632206Z  --dry-run 2025-09-07T12:46:11.6632413Z else 2025-09-07T12:46:11.6632736Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T12:46:11.6633202Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T12:46:11.6633559Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T12:46:11.6633864Z  --runners "${RUNNER_INFO}" \ 2025-09-07T12:46:11.6634160Z  --dependencies "${DEPENDENCIES}" 2025-09-07T12:46:11.6634439Z fi 2025-09-07T12:46:11.6650057Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:46:11.6650354Z env: 2025-09-07T12:46:11.6650521Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:11.6650767Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:11.6651120Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:11.6651700Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:11.6652082Z DEVICE_NAME: 2025-09-07T12:46:11.6652278Z DEVICE_TYPE: 2025-09-07T12:46:11.6652473Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T12:46:11.6652702Z DRY_RUN: false 2025-09-07T12:46:11.6653637Z BENCHMARK_METADATA: {"timestamp": 1757249169, "schema_version": "v3", "name": "test-weekly / test (inductor_huggingface_perf_cuda_h100, 4, 5, linux.aws.h100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525296438, "run_attempt": 1, "job_id": 49775781828} 2025-09-07T12:46:11.6655080Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 192, "avail_mem_in_gb": 1999, "extra_info": {"hostname": "67d851dd8218"}, "name": "cuda", "type": "NVIDIA H100 80GB HBM3", "gpu_count": 1, "avail_gpu_mem_in_gb": 79}] 2025-09-07T12:46:11.6655647Z DEPENDENCIES: {} 2025-09-07T12:46:11.6655834Z ##[endgroup] 2025-09-07T12:46:11.7041146Z + [[ -n '' ]] 2025-09-07T12:46:11.7041370Z + [[ ! -d test/test-reports ]] 2025-09-07T12:46:11.7041605Z + [[ false == \t\r\u\e ]] 2025-09-07T12:46:11.7043972Z + 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": 1757249169, "schema_version": "v3", "name": "test-weekly / test (inductor_huggingface_perf_cuda_h100, 4, 5, linux.aws.h100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525296438, "run_attempt": 1, "job_id": 49775781828}' --runners '[{"cpu_info": "x86_64", "cpu_count": 192, "avail_mem_in_gb": 1999, "extra_info": {"hostname": "67d851dd8218"}, "name": "cuda", "type": "NVIDIA H100 80GB HBM3", "gpu_count": 1, "avail_gpu_mem_in_gb": 79}]' --dependencies '{}' 2025-09-07T12:46:11.8279812Z INFO:root:Upload test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:46:11.8682601Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T12:46:12.2276691Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:46:12.3320373Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:46:12.4363403Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json 2025-09-07T12:46:12.5500465Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:46:12.6652129Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:46:12.7541935Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance.json 2025-09-07T12:46:12.8640872Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance.json 2025-09-07T12:46:12.9883622Z INFO:root:Upload test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_export_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:46:13.0740101Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance.json 2025-09-07T12:46:13.1692413Z INFO:root:Upload test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:46:13.2531156Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:46:13.3793905Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:46:13.4738870Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_dynamic_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:46:13.5861722Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_dynamic_huggingface_amp_training_cuda_h100_performance.json 2025-09-07T12:46:13.6786643Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_max_autotune_huggingface_amp_training_cuda_h100_accuracy.json 2025-09-07T12:46:13.7706997Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:46:13.8618424Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json 2025-09-07T12:46:13.9580334Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:46:14.0594411Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:46:14.1460633Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:46:14.2453781Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:46:14.3448610Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:46:14.4313810Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:46:14.5284005Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:46:14.6503442Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_dynamic_huggingface_amp_training_cuda_h100_accuracy.json 2025-09-07T12:46:14.7192031Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:46:14.8228619Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:46:14.9528532Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:46:15.0528010Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:46:15.1791504Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:46:15.3121785Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:46:15.3976986Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:46:15.5073244Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance.json 2025-09-07T12:46:15.6048485Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:46:15.7148966Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_accuracy.json 2025-09-07T12:46:15.8260089Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:46:15.9447126Z INFO:root:Upload test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:46:16.0555916Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:46:16.1720054Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781828/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:46:16.3278410Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T12:46:16.3278761Z cat test/**/*_toprint.log || true 2025-09-07T12:46:16.3294118Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:46:16.3294413Z env: 2025-09-07T12:46:16.3294575Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:16.3294900Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:16.3295222Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:16.3295642Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:16.3296020Z DEVICE_NAME: 2025-09-07T12:46:16.3296193Z DEVICE_TYPE: 2025-09-07T12:46:16.3296360Z ##[endgroup] 2025-09-07T12:46:16.3840699Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T12:46:16.4238217Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T12:46:16.4238506Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T12:46:16.4252339Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:46:16.4252626Z env: 2025-09-07T12:46:16.4252808Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:16.4253066Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:16.4253413Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:16.4253834Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:16.4254194Z DEVICE_NAME: 2025-09-07T12:46:16.4254363Z DEVICE_TYPE: 2025-09-07T12:46:16.4254538Z MONITOR_SCRIPT_PID: 8519 2025-09-07T12:46:16.4254806Z ##[endgroup] 2025-09-07T12:46:16.4774532Z Prepare all required actions 2025-09-07T12:46:16.4775098Z Getting action download info 2025-09-07T12:46:16.6144989Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T12:46:17.2741691Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T12:46:18.8566492Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T12:46:18.8566770Z with: 2025-09-07T12:46:18.8567225Z file-suffix: test-inductor_huggingface_perf_cuda_h100-4-5-linux.aws.h100_49775781828 2025-09-07T12:46:18.8567780Z s3-bucket: gha-artifacts 2025-09-07T12:46:18.8567979Z env: 2025-09-07T12:46:18.8568136Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:18.8568380Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:18.8568705Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:18.8569164Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:18.8569519Z DEVICE_NAME: 2025-09-07T12:46:18.8569681Z DEVICE_TYPE: 2025-09-07T12:46:18.8569842Z ##[endgroup] 2025-09-07T12:46:18.9961827Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T12:46:18.9962194Z # Remove any previous test jsons if they exist 2025-09-07T12:46:18.9962483Z rm -f test-jsons-*.zip 2025-09-07T12:46:18.9962806Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T12:46:18.9977845Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:46:18.9978162Z env: 2025-09-07T12:46:18.9978333Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:18.9978587Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:18.9978916Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:18.9979344Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:18.9979720Z DEVICE_NAME: 2025-09-07T12:46:18.9979893Z DEVICE_TYPE: 2025-09-07T12:46:18.9980192Z FILE_SUFFIX: test-inductor_huggingface_perf_cuda_h100-4-5-linux.aws.h100_49775781828 2025-09-07T12:46:18.9980532Z ##[endgroup] 2025-09-07T12:46:19.0533624Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:46:19.0556717Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:46:19.0622012Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:46:19.0637811Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:46:19.0661102Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:46:19.0676630Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:46:19.0699823Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:46:19.0722859Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:46:19.0738132Z adding: test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:46:19.0761231Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:46:19.0776792Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:46:19.0792909Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:46:19.0808609Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:46:19.0883793Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:46:19.0906707Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:46:19.0922619Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:46:19.0945713Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:46:19.0961706Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:46:19.0984897Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:46:19.1000537Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:46:19.1016644Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:46:19.1032397Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:46:19.1108370Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:46:19.1131236Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:46:19.1202447Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:46:19.1217748Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:46:19.1282252Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:46:19.1305222Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:46:19.1321018Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:46:19.1381488Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:46:19.1455869Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:46:19.1528397Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:46:19.1599472Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:46:19.1622428Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:46:19.1687135Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:46:19.1702970Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:46:19.1788638Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:46:19.1811639Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:46:19.1874021Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:46:19.1896802Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:46:19.2342252Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T12:46:19.2342598Z # Remove any previous test reports if they exist 2025-09-07T12:46:19.2343023Z rm -f test-reports-*.zip 2025-09-07T12:46:19.2343373Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T12:46:19.2357695Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:46:19.2357990Z env: 2025-09-07T12:46:19.2358155Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:19.2358407Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:19.2358772Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:19.2359196Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:19.2359574Z DEVICE_NAME: 2025-09-07T12:46:19.2359744Z DEVICE_TYPE: 2025-09-07T12:46:19.2360045Z FILE_SUFFIX: test-inductor_huggingface_perf_cuda_h100-4-5-linux.aws.h100_49775781828 2025-09-07T12:46:19.2360384Z ##[endgroup] 2025-09-07T12:46:19.2833234Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T12:46:19.2834745Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T12:46:19.2836664Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T12:46:19.2838057Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance.csv (deflated 50%) 2025-09-07T12:46:19.2839241Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 51%) 2025-09-07T12:46:19.2840435Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 58%) 2025-09-07T12:46:19.2841675Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 58%) 2025-09-07T12:46:19.2842896Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance.csv (deflated 50%) 2025-09-07T12:46:19.2844218Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 58%) 2025-09-07T12:46:19.2845463Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T12:46:19.2846850Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T12:46:19.2848407Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T12:46:19.2849658Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 58%) 2025-09-07T12:46:19.2850782Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 67%) 2025-09-07T12:46:19.2851912Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_accuracy.csv (deflated 55%) 2025-09-07T12:46:19.2853031Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 58%) 2025-09-07T12:46:19.2854482Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T12:46:19.2855746Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.csv (deflated 56%) 2025-09-07T12:46:19.2856981Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T12:46:19.2858500Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 51%) 2025-09-07T12:46:19.2859873Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_accuracy.csv (deflated 55%) 2025-09-07T12:46:19.2861128Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T12:46:19.2862342Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_accuracy.csv (deflated 55%) 2025-09-07T12:46:19.2863451Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance.csv (deflated 49%) 2025-09-07T12:46:19.2864628Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 52%) 2025-09-07T12:46:19.2865757Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance.csv (deflated 50%) 2025-09-07T12:46:19.2866892Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 58%) 2025-09-07T12:46:19.2868315Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 51%) 2025-09-07T12:46:19.2869611Z adding: test/test-reports/inductor_cudagraphs_low_precision_huggingface_quant_inference_cuda_h100_accuracy.csv (deflated 58%) 2025-09-07T12:46:19.2870834Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 51%) 2025-09-07T12:46:19.2872072Z adding: test/test-reports/inductor_cudagraphs_low_precision_huggingface_quant_inference_cuda_h100_performance.csv (deflated 51%) 2025-09-07T12:46:19.2873300Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 51%) 2025-09-07T12:46:19.2874550Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T12:46:19.2875822Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 51%) 2025-09-07T12:46:19.2877488Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T12:46:19.2879151Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T12:46:19.2880408Z adding: test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 58%) 2025-09-07T12:46:19.2881731Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T12:46:19.2883122Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 51%) 2025-09-07T12:46:19.2884294Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.csv (deflated 55%) 2025-09-07T12:46:19.2885401Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance.csv (deflated 50%) 2025-09-07T12:46:19.2886642Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 58%) 2025-09-07T12:46:19.3261373Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T12:46:19.3261916Z # Remove any previous usage logs if they exist 2025-09-07T12:46:19.3262559Z rm -f logs-*.zip 2025-09-07T12:46:19.3262983Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T12:46:19.3263613Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T12:46:19.3281932Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:46:19.3282392Z env: 2025-09-07T12:46:19.3282663Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:19.3283058Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:19.3283729Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:19.3284448Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:19.3285062Z DEVICE_NAME: 2025-09-07T12:46:19.3285345Z DEVICE_TYPE: 2025-09-07T12:46:19.3285839Z FILE_SUFFIX: test-inductor_huggingface_perf_cuda_h100-4-5-linux.aws.h100_49775781828 2025-09-07T12:46:19.3286430Z ##[endgroup] 2025-09-07T12:46:19.3898404Z adding: usage_log.txt (deflated 92%) 2025-09-07T12:46:19.3915776Z 2025-09-07T12:46:19.3916152Z zip error: Nothing to do! (logs-test-inductor_huggingface_perf_cuda_h100-4-5-linux.aws.h100_49775781828.zip) 2025-09-07T12:46:19.4162397Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T12:46:19.4162813Z # Remove any previous debugging artifacts if they exist 2025-09-07T12:46:19.4163133Z rm -f debug-*.zip 2025-09-07T12:46:19.4163365Z if [ -d 'test/debug' ]; then 2025-09-07T12:46:19.4163664Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T12:46:19.4163950Z fi 2025-09-07T12:46:19.4177927Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:46:19.4178213Z env: 2025-09-07T12:46:19.4178384Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:19.4178628Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:19.4178966Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:19.4179392Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:19.4179752Z DEVICE_NAME: 2025-09-07T12:46:19.4179922Z DEVICE_TYPE: 2025-09-07T12:46:19.4180217Z FILE_SUFFIX: test-inductor_huggingface_perf_cuda_h100-4-5-linux.aws.h100_49775781828 2025-09-07T12:46:19.4180564Z ##[endgroup] 2025-09-07T12:46:19.5577803Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T12:46:19.5578100Z with: 2025-09-07T12:46:19.5578289Z s3-bucket: gha-artifacts 2025-09-07T12:46:19.5578568Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:46:19.5579004Z retention-days: 14 2025-09-07T12:46:19.5579220Z if-no-files-found: warn 2025-09-07T12:46:19.5579452Z path: test-jsons-*.zip 2025-09-07T12:46:19.5579666Z name: artifact 2025-09-07T12:46:19.5579861Z region: us-east-1 2025-09-07T12:46:19.5580055Z env: 2025-09-07T12:46:19.5580234Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:19.5580516Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:19.5580936Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:19.5581448Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:19.5581940Z DEVICE_NAME: 2025-09-07T12:46:19.5582128Z DEVICE_TYPE: 2025-09-07T12:46:19.5582319Z ##[endgroup] 2025-09-07T12:46:19.8543664Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T12:46:19.8544013Z With the provided path, there will be 1 file uploaded 2025-09-07T12:46:19.8544379Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:46:19.8552597Z Starting upload of test-jsons-test-inductor_huggingface_perf_cuda_h100-4-5-linux.aws.h100_49775781828.zip 2025-09-07T12:46:19.9690476Z Finished upload of test-jsons-test-inductor_huggingface_perf_cuda_h100-4-5-linux.aws.h100_49775781828.zip 2025-09-07T12:46:20.0350982Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T12:46:20.0351287Z with: 2025-09-07T12:46:20.0351484Z s3-bucket: gha-artifacts 2025-09-07T12:46:20.0352027Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:46:20.0352348Z retention-days: 14 2025-09-07T12:46:20.0352575Z if-no-files-found: error 2025-09-07T12:46:20.0352818Z path: test-reports-*.zip 2025-09-07T12:46:20.0353050Z name: artifact 2025-09-07T12:46:20.0353247Z region: us-east-1 2025-09-07T12:46:20.0353446Z env: 2025-09-07T12:46:20.0353634Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:20.0353922Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:20.0354441Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:20.0354968Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:20.0355406Z DEVICE_NAME: 2025-09-07T12:46:20.0355608Z DEVICE_TYPE: 2025-09-07T12:46:20.0355803Z ##[endgroup] 2025-09-07T12:46:20.3334997Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T12:46:20.3335354Z With the provided path, there will be 1 file uploaded 2025-09-07T12:46:20.3335729Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:46:20.3344325Z Starting upload of test-reports-test-inductor_huggingface_perf_cuda_h100-4-5-linux.aws.h100_49775781828.zip 2025-09-07T12:46:20.4413772Z Finished upload of test-reports-test-inductor_huggingface_perf_cuda_h100-4-5-linux.aws.h100_49775781828.zip 2025-09-07T12:46:20.5083754Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T12:46:20.5084036Z with: 2025-09-07T12:46:20.5084214Z s3-bucket: gha-artifacts 2025-09-07T12:46:20.5084488Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:46:20.5084761Z retention-days: 14 2025-09-07T12:46:20.5084954Z if-no-files-found: ignore 2025-09-07T12:46:20.5085159Z path: logs-*.zip 2025-09-07T12:46:20.5085336Z name: artifact 2025-09-07T12:46:20.5085502Z region: us-east-1 2025-09-07T12:46:20.5085679Z env: 2025-09-07T12:46:20.5085843Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:20.5086113Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:20.5086456Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:20.5086906Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:20.5087477Z DEVICE_NAME: 2025-09-07T12:46:20.5087665Z DEVICE_TYPE: 2025-09-07T12:46:20.5087828Z ##[endgroup] 2025-09-07T12:46:20.8088595Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T12:46:20.8088953Z With the provided path, there will be 1 file uploaded 2025-09-07T12:46:20.8089307Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:46:20.8097806Z Starting upload of logs-test-inductor_huggingface_perf_cuda_h100-4-5-linux.aws.h100_49775781828.zip 2025-09-07T12:46:20.9302924Z Finished upload of logs-test-inductor_huggingface_perf_cuda_h100-4-5-linux.aws.h100_49775781828.zip 2025-09-07T12:46:20.9872563Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T12:46:20.9872870Z with: 2025-09-07T12:46:20.9873087Z s3-bucket: gha-artifacts 2025-09-07T12:46:20.9873369Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:46:20.9873675Z retention-days: 14 2025-09-07T12:46:20.9873898Z if-no-files-found: ignore 2025-09-07T12:46:20.9874132Z path: debug-*.zip 2025-09-07T12:46:20.9874327Z name: artifact 2025-09-07T12:46:20.9874535Z region: us-east-1 2025-09-07T12:46:20.9874733Z env: 2025-09-07T12:46:20.9874909Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:20.9875196Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:20.9875605Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:20.9876122Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:20.9876555Z DEVICE_NAME: 2025-09-07T12:46:20.9876746Z DEVICE_TYPE: 2025-09-07T12:46:20.9876935Z ##[endgroup] 2025-09-07T12:46:21.2810380Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T12:46:21.3207818Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T12:46:21.3208143Z # shellcheck disable=SC2156 2025-09-07T12:46:21.3208590Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T12:46:21.3224328Z shell: /usr/bin/bash -e {0} 2025-09-07T12:46:21.3224544Z env: 2025-09-07T12:46:21.3224715Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:21.3224978Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:21.3225315Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:21.3225879Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:21.3226246Z DEVICE_NAME: 2025-09-07T12:46:21.3226419Z DEVICE_TYPE: 2025-09-07T12:46:21.3226581Z ##[endgroup] 2025-09-07T12:46:22.0506439Z Prepare all required actions 2025-09-07T12:46:22.0506779Z Getting action download info 2025-09-07T12:46:22.1785512Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T12:46:22.1785801Z with: 2025-09-07T12:46:22.1785966Z job_id: 49775781828 2025-09-07T12:46:22.1786279Z job_name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 4, 5, linux.aws.h100) 2025-09-07T12:46:22.1786663Z workflow_name: inductor-perf-nightly-h100 2025-09-07T12:46:22.1786913Z workflow_run_id: 17525296438 2025-09-07T12:46:22.1787116Z workflow_attempt: 1 2025-09-07T12:46:22.1787458Z env: 2025-09-07T12:46:22.1787627Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:22.1787876Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:22.1788222Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:22.1788652Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:22.1789005Z DEVICE_NAME: 2025-09-07T12:46:22.1789193Z DEVICE_TYPE: 2025-09-07T12:46:22.1789350Z ##[endgroup] 2025-09-07T12:46:22.3196149Z ##[group]Run echo "workflow_id: 17525296438" 2025-09-07T12:46:22.3196461Z echo "workflow_id: 17525296438" 2025-09-07T12:46:22.3196746Z echo "workflow_attempt: 1" 2025-09-07T12:46:22.3197084Z echo "workflow_Name: inductor-perf-nightly-h100" 2025-09-07T12:46:22.3197806Z echo "job_id: 49775781828" 2025-09-07T12:46:22.3198275Z echo "job_name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 4, 5, linux.aws.h100)" 2025-09-07T12:46:22.3198726Z echo "artifact_prefix: " 2025-09-07T12:46:22.3198976Z python3 --version 2025-09-07T12:46:22.3214072Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:46:22.3214499Z env: 2025-09-07T12:46:22.3214661Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:22.3215007Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:22.3215370Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:22.3215798Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:22.3216172Z DEVICE_NAME: 2025-09-07T12:46:22.3216340Z DEVICE_TYPE: 2025-09-07T12:46:22.3216504Z ##[endgroup] 2025-09-07T12:46:22.3684111Z workflow_id: 17525296438 2025-09-07T12:46:22.3684394Z workflow_attempt: 1 2025-09-07T12:46:22.3684670Z workflow_Name: inductor-perf-nightly-h100 2025-09-07T12:46:22.3684979Z job_id: 49775781828 2025-09-07T12:46:22.3685372Z job_name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 4, 5, linux.aws.h100) 2025-09-07T12:46:22.3685820Z artifact_prefix: 2025-09-07T12:46:22.3701763Z Python 3.10.12 2025-09-07T12:46:22.4612685Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T12:46:22.4612945Z with: 2025-09-07T12:46:22.4613105Z shell: bash 2025-09-07T12:46:22.4613280Z timeout_minutes: 5 2025-09-07T12:46:22.4613463Z max_attempts: 5 2025-09-07T12:46:22.4613646Z retry_wait_seconds: 30 2025-09-07T12:46:22.4614083Z 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 2025-09-07T12:46:22.4614541Z polling_interval_seconds: 1 2025-09-07T12:46:22.4614866Z warning_on_retry: true 2025-09-07T12:46:22.4615064Z continue_on_error: false 2025-09-07T12:46:22.4615253Z env: 2025-09-07T12:46:22.4615412Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:22.4615655Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:22.4616000Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:22.4616447Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:22.4616977Z DEVICE_NAME: 2025-09-07T12:46:22.4617150Z DEVICE_TYPE: 2025-09-07T12:46:22.4617475Z ##[endgroup] 2025-09-07T12:46:22.8030717Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T12:46:23.4377238Z Collecting python-dateutil==2.8.2 2025-09-07T12:46:23.4724929Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T12:46:23.8051699Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 247.7/247.7 KB 720.7 kB/s eta 0:00:00 2025-09-07T12:46:24.7468984Z Collecting boto3==1.35.42 2025-09-07T12:46:24.7499085Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T12:46:25.0737834Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.2/139.2 KB 400.9 kB/s eta 0:00:00 2025-09-07T12:46:25.6816403Z Collecting pandas==2.1.3 2025-09-07T12:46:25.6855065Z Downloading pandas-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T12:46:25.9966362Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.3/12.3 MB 34.1 MB/s eta 0:00:00 2025-09-07T12:46:26.0354360Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/bob/.local/lib/python3.10/site-packages (0.6.7) 2025-09-07T12:46:26.0369959Z Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil==2.8.2) (1.16.0) 2025-09-07T12:46:26.0415434Z 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) 2025-09-07T12:46:26.0420377Z 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) 2025-09-07T12:46:26.0424866Z 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) 2025-09-07T12:46:26.2320283Z Collecting tzdata>=2022.1 2025-09-07T12:46:26.2344893Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T12:46:26.2718655Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 347.8/347.8 KB 9.6 MB/s eta 0:00:00 2025-09-07T12:46:26.6809942Z Collecting numpy<2,>=1.22.4 2025-09-07T12:46:26.6845856Z Downloading numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T12:46:27.4455919Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 18.2/18.2 MB 14.2 MB/s eta 0:00:00 2025-09-07T12:46:27.6385505Z Collecting pytz>=2020.1 2025-09-07T12:46:27.6414410Z Downloading pytz-2025.2-py2.py3-none-any.whl (509 kB) 2025-09-07T12:46:27.9962485Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 509.2/509.2 KB 1.4 MB/s eta 0:00:00 2025-09-07T12:46:28.0032454Z 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) 2025-09-07T12:46:28.0038822Z 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) 2025-09-07T12:46:28.0095925Z 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) 2025-09-07T12:46:28.0199694Z 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) 2025-09-07T12:46:28.0297886Z 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) 2025-09-07T12:46:28.0301723Z 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) 2025-09-07T12:46:28.2886034Z Installing collected packages: pytz, tzdata, python-dateutil, numpy, pandas, boto3 2025-09-07T12:46:31.8419603Z WARNING: The script f2py is installed in '/home/bob/.local/bin' which is not on PATH. 2025-09-07T12:46:31.8420882Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T12:46:36.1311981Z Attempting uninstall: boto3 2025-09-07T12:46:36.1318707Z Found existing installation: boto3 1.35.33 2025-09-07T12:46:36.1534992Z Uninstalling boto3-1.35.33: 2025-09-07T12:46:36.1554793Z Successfully uninstalled boto3-1.35.33 2025-09-07T12:46:36.3540303Z 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 2025-09-07T12:46:36.5435114Z Command completed after 1 attempt(s). 2025-09-07T12:46:36.5801664Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T12:46:36.5804765Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T12:46:36.5805189Z  --workflow-run-id "17525296438" \ 2025-09-07T12:46:36.5805515Z  --workflow-name "inductor-perf-nightly-h100" \ 2025-09-07T12:46:36.5805829Z  --workflow-run-attempt "1" \ 2025-09-07T12:46:36.5806081Z  --job-id "49775781828" \ 2025-09-07T12:46:36.5806509Z  --job-name "test-weekly / test (inductor_huggingface_perf_cuda_h100, 4, 5, linux.aws.h100)" \ 2025-09-07T12:46:36.5807107Z  --local-path "" \ 2025-09-07T12:46:36.5807528Z  --artifact-prefix "" 2025-09-07T12:46:36.5823057Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:46:36.5823353Z env: 2025-09-07T12:46:36.5823513Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:46:36.5823770Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:46:36.5824101Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T12:46:36.5824541Z DOCKER_CONTAINER_ID: 3827576a10a007efb96fd253b13c3775cbd1a2c3fde0cca01b6b41f79306656d 2025-09-07T12:46:36.5824912Z DEVICE_NAME: 2025-09-07T12:46:36.5825077Z DEVICE_TYPE: 2025-09-07T12:46:36.5825242Z ##[endgroup] 2025-09-07T12:46:39.0925442Z repo: pytorch/pytorch 2025-09-07T12:46:39.0925855Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T12:46:39.0926400Z Downloading logs-test-inductor_huggingface_perf_cuda_h100-4-5-linux.aws.h100_49775781828.zip 2025-09-07T12:46:39.0927185Z extracting usage_log.txt from zip file logs-test-inductor_huggingface_perf_cuda_h100-4-5-linux.aws.h100_49775781828.zip 2025-09-07T12:46:39.0928197Z Converted Log Model: UtilizationMetadata: 2025-09-07T12:46:39.0929550Z UtilizationMetadata(level='metadata', workflow_id='17525296438', job_id='49775781828', workflow_name='inductor-perf-nightly-h100', job_name='test-weekly / test (inductor_huggingface_perf_cuda_h100, 4, 5, linux.aws.h100)', usage_collect_interval=4.0, data_model_version=1.5, start_at=1757232922, gpu_count=1, cpu_count=192, gpu_type='pynvml', error=None) 2025-09-07T12:46:39.0930919Z [Db Segments] detected pytest cmd: 4, generated segments: 4 2025-09-07T12:46:39.0931290Z [db model] Peek db timeseries 2025-09-07T12:46:39.0931534Z :{ 2025-09-07T12:46:39.0931724Z "created_at": 1757249198, 2025-09-07T12:46:39.0931974Z "type": "utilization", 2025-09-07T12:46:39.0932206Z "tags": [ 2025-09-07T12:46:39.0932395Z "record" 2025-09-07T12:46:39.0932591Z ], 2025-09-07T12:46:39.0932804Z "time_stamp": 1757232922, 2025-09-07T12:46:39.0933063Z "repo": "pytorch/pytorch", 2025-09-07T12:46:39.0933322Z "workflow_id": 17525296438, 2025-09-07T12:46:39.0933543Z "run_attempt": 1, 2025-09-07T12:46:39.0933734Z "job_id": 49775781828, 2025-09-07T12:46:39.0933967Z "workflow_name": "inductor-perf-nightly-h100", 2025-09-07T12:46:39.0934371Z "job_name": "test-weekly / test (inductor_huggingface_perf_cuda_h100, 4, 5, linux.aws.h100)", 2025-09-07T12:46:39.0934847Z "json_data": "{}" 2025-09-07T12:46:39.0935023Z } 2025-09-07T12:46:39.0935398Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525296438/1/49775781828/metadata 2025-09-07T12:46:39.0936090Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525296438/1/49775781828/metadata 2025-09-07T12:46:39.0936806Z Writing 1080 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525296438/1/49775781828/time_series 2025-09-07T12:46:39.0938880Z Done! 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http.https://github.com/.extraheader 2025-09-07T12:46:41.5276877Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T12:46:41.5303448Z http.https://github.com/.extraheader 2025-09-07T12:46:41.5345573Z Entering 'third_party/ittapi' 2025-09-07T12:46:41.5372857Z http.https://github.com/.extraheader 2025-09-07T12:46:41.5407151Z Entering 'third_party/kineto' 2025-09-07T12:46:41.5434371Z http.https://github.com/.extraheader 2025-09-07T12:46:41.5468212Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T12:46:41.5495333Z http.https://github.com/.extraheader 2025-09-07T12:46:41.5529493Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T12:46:41.5556236Z http.https://github.com/.extraheader 2025-09-07T12:46:41.5591939Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T12:46:41.5618835Z http.https://github.com/.extraheader 2025-09-07T12:46:41.5653839Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T12:46:41.5679932Z http.https://github.com/.extraheader 2025-09-07T12:46:41.5715133Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T12:46:41.5741757Z http.https://github.com/.extraheader 2025-09-07T12:46:41.5774484Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T12:46:41.5801803Z http.https://github.com/.extraheader 2025-09-07T12:46:41.5839800Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T12:46:41.5866062Z http.https://github.com/.extraheader 2025-09-07T12:46:41.5900457Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T12:46:41.5926524Z http.https://github.com/.extraheader 2025-09-07T12:46:41.5963570Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T12:46:41.5991642Z http.https://github.com/.extraheader 2025-09-07T12:46:41.6209945Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T12:46:41.6236537Z http.https://github.com/.extraheader 2025-09-07T12:46:41.6700640Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T12:46:41.6726226Z http.https://github.com/.extraheader 2025-09-07T12:46:41.7146852Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T12:46:41.7172373Z http.https://github.com/.extraheader 2025-09-07T12:46:41.7624624Z Entering 'third_party/kleidiai' 2025-09-07T12:46:41.7651962Z http.https://github.com/.extraheader 2025-09-07T12:46:41.8076018Z Entering 'third_party/mimalloc' 2025-09-07T12:46:41.8104734Z http.https://github.com/.extraheader 2025-09-07T12:46:41.8490674Z Entering 'third_party/nlohmann' 2025-09-07T12:46:41.8519627Z http.https://github.com/.extraheader 2025-09-07T12:46:41.8952197Z Entering 'third_party/onnx' 2025-09-07T12:46:41.8980426Z http.https://github.com/.extraheader 2025-09-07T12:46:41.9444420Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T12:46:41.9473419Z http.https://github.com/.extraheader 2025-09-07T12:46:41.9848880Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T12:46:41.9877445Z http.https://github.com/.extraheader 2025-09-07T12:46:42.0328836Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T12:46:42.0356255Z http.https://github.com/.extraheader 2025-09-07T12:46:42.0780395Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T12:46:42.0807139Z http.https://github.com/.extraheader 2025-09-07T12:46:42.1238436Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T12:46:42.1265656Z http.https://github.com/.extraheader 2025-09-07T12:46:42.1696835Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T12:46:42.1724359Z http.https://github.com/.extraheader 2025-09-07T12:46:42.2123613Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T12:46:42.2151685Z http.https://github.com/.extraheader 2025-09-07T12:46:42.2599181Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T12:46:42.2625752Z http.https://github.com/.extraheader 2025-09-07T12:46:42.3078944Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T12:46:42.3106001Z http.https://github.com/.extraheader 2025-09-07T12:46:42.3489098Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T12:46:42.3515863Z http.https://github.com/.extraheader 2025-09-07T12:46:42.3955409Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T12:46:42.3982092Z http.https://github.com/.extraheader 2025-09-07T12:46:42.4438981Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T12:46:42.4465842Z http.https://github.com/.extraheader 2025-09-07T12:46:42.4904903Z Entering 'third_party/pocketfft' 2025-09-07T12:46:42.4933082Z http.https://github.com/.extraheader 2025-09-07T12:46:42.5365675Z Entering 'third_party/protobuf' 2025-09-07T12:46:42.5394739Z http.https://github.com/.extraheader 2025-09-07T12:46:42.5800491Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T12:46:42.5827972Z http.https://github.com/.extraheader 2025-09-07T12:46:42.6248739Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T12:46:42.6274954Z http.https://github.com/.extraheader 2025-09-07T12:46:42.6729065Z Entering 'third_party/psimd' 2025-09-07T12:46:42.6757182Z http.https://github.com/.extraheader 2025-09-07T12:46:42.7151076Z Entering 'third_party/pthreadpool' 2025-09-07T12:46:42.7180270Z http.https://github.com/.extraheader 2025-09-07T12:46:42.7631846Z Entering 'third_party/pybind11' 2025-09-07T12:46:42.7660815Z http.https://github.com/.extraheader 2025-09-07T12:46:42.8113658Z Entering 'third_party/python-peachpy' 2025-09-07T12:46:42.8142980Z http.https://github.com/.extraheader 2025-09-07T12:46:42.8545997Z Entering 'third_party/sleef' 2025-09-07T12:46:42.8573994Z http.https://github.com/.extraheader 2025-09-07T12:46:42.9024721Z Entering 'third_party/tensorpipe' 2025-09-07T12:46:42.9051699Z http.https://github.com/.extraheader 2025-09-07T12:46:42.9439721Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T12:46:42.9467170Z http.https://github.com/.extraheader 2025-09-07T12:46:42.9920702Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T12:46:42.9947704Z http.https://github.com/.extraheader 2025-09-07T12:46:43.0398927Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T12:46:43.0426325Z http.https://github.com/.extraheader 2025-09-07T12:46:43.0821137Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T12:46:43.0847859Z http.https://github.com/.extraheader 2025-09-07T12:46:43.1281865Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T12:46:43.1310477Z http.https://github.com/.extraheader 2025-09-07T12:46:43.2199126Z Post job cleanup. 2025-09-07T12:46:43.3081258Z [command]/usr/bin/git version 2025-09-07T12:46:43.3117694Z git version 2.51.0 2025-09-07T12:46:43.3156555Z Temporarily overriding HOME='/home/bob/_work/_temp/49c92e04-9f60-48f9-a8f6-51d7b2f5ed5e' before making global git config changes 2025-09-07T12:46:43.3157603Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T12:46:43.3161338Z [command]/usr/bin/git config --global --add safe.directory /home/bob/_work/pytorch/pytorch 2025-09-07T12:46:43.3594677Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T12:46:43.3636278Z [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' || :" 2025-09-07T12:46:43.3902670Z Entering 'android/libs/fbjni' 2025-09-07T12:46:43.3952845Z Entering 'third_party/FP16' 2025-09-07T12:46:43.4000760Z Entering 'third_party/FXdiv' 2025-09-07T12:46:43.4048326Z Entering 'third_party/NNPACK' 2025-09-07T12:46:43.4096700Z Entering 'third_party/NVTX' 2025-09-07T12:46:43.4145155Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T12:46:43.4193107Z Entering 'third_party/XNNPACK' 2025-09-07T12:46:43.4255237Z Entering 'third_party/aiter' 2025-09-07T12:46:43.4304551Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T12:46:43.4362494Z Entering 'third_party/benchmark' 2025-09-07T12:46:43.4412823Z Entering 'third_party/composable_kernel' 2025-09-07T12:46:43.4468827Z Entering 'third_party/cpp-httplib' 2025-09-07T12:46:43.4516715Z Entering 'third_party/cpuinfo' 2025-09-07T12:46:43.4566408Z Entering 'third_party/cudnn_frontend' 2025-09-07T12:46:43.4614745Z Entering 'third_party/cutlass' 2025-09-07T12:46:43.4670077Z Entering 'third_party/fbgemm' 2025-09-07T12:46:43.4719930Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T12:46:43.4767727Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T12:46:43.4821194Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T12:46:43.4867879Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T12:46:43.4923250Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T12:46:43.4969497Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T12:46:43.5015366Z Entering 'third_party/fbgemm/external/json' 2025-09-07T12:46:43.5065543Z Entering 'third_party/flash-attention' 2025-09-07T12:46:43.5115044Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T12:46:43.5168971Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T12:46:43.5225215Z Entering 'third_party/flatbuffers' 2025-09-07T12:46:43.5276052Z Entering 'third_party/fmt' 2025-09-07T12:46:43.5326036Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T12:46:43.5374105Z Entering 'third_party/gloo' 2025-09-07T12:46:43.5422088Z Entering 'third_party/googletest' 2025-09-07T12:46:43.5469405Z Entering 'third_party/ideep' 2025-09-07T12:46:43.5517786Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T12:46:43.5572616Z Entering 'third_party/ittapi' 2025-09-07T12:46:43.5622499Z Entering 'third_party/kineto' 2025-09-07T12:46:43.5669246Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T12:46:43.5715236Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T12:46:43.5763744Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T12:46:43.5809609Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T12:46:43.5855329Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T12:46:43.5900209Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T12:46:43.5950979Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T12:46:43.5998703Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T12:46:43.6045467Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T12:46:43.6092863Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T12:46:43.6142040Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T12:46:43.6188053Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T12:46:43.6236234Z Entering 'third_party/kleidiai' 2025-09-07T12:46:43.6287466Z Entering 'third_party/mimalloc' 2025-09-07T12:46:43.6335651Z Entering 'third_party/nlohmann' 2025-09-07T12:46:43.6384194Z Entering 'third_party/onnx' 2025-09-07T12:46:43.6445182Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T12:46:43.6498070Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T12:46:43.6546621Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T12:46:43.6593530Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T12:46:43.6639594Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T12:46:43.6684670Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T12:46:43.6731567Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T12:46:43.6777545Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T12:46:43.6822263Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T12:46:43.6866413Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T12:46:43.6915202Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T12:46:43.6967151Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T12:46:43.7034313Z Entering 'third_party/pocketfft' 2025-09-07T12:46:43.7082389Z Entering 'third_party/protobuf' 2025-09-07T12:46:43.7130861Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T12:46:43.7178178Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T12:46:43.7226855Z Entering 'third_party/psimd' 2025-09-07T12:46:43.7275163Z Entering 'third_party/pthreadpool' 2025-09-07T12:46:43.7322490Z Entering 'third_party/pybind11' 2025-09-07T12:46:43.7370441Z Entering 'third_party/python-peachpy' 2025-09-07T12:46:43.7420977Z Entering 'third_party/sleef' 2025-09-07T12:46:43.7469158Z Entering 'third_party/tensorpipe' 2025-09-07T12:46:43.7516453Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T12:46:43.7563579Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T12:46:43.7608830Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T12:46:43.7654228Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T12:46:43.7699090Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T12:46:43.7771720Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T12:46:43.7803776Z [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' || :" 2025-09-07T12:46:43.8070027Z Entering 'android/libs/fbjni' 2025-09-07T12:46:43.8119895Z Entering 'third_party/FP16' 2025-09-07T12:46:43.8169101Z Entering 'third_party/FXdiv' 2025-09-07T12:46:43.8218107Z Entering 'third_party/NNPACK' 2025-09-07T12:46:43.8267377Z Entering 'third_party/NVTX' 2025-09-07T12:46:43.8316972Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T12:46:43.8365812Z Entering 'third_party/XNNPACK' 2025-09-07T12:46:43.8428046Z Entering 'third_party/aiter' 2025-09-07T12:46:43.8476588Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T12:46:43.8534768Z Entering 'third_party/benchmark' 2025-09-07T12:46:43.8583996Z Entering 'third_party/composable_kernel' 2025-09-07T12:46:43.8640725Z Entering 'third_party/cpp-httplib' 2025-09-07T12:46:43.8689186Z Entering 'third_party/cpuinfo' 2025-09-07T12:46:43.8738404Z Entering 'third_party/cudnn_frontend' 2025-09-07T12:46:43.8787028Z Entering 'third_party/cutlass' 2025-09-07T12:46:43.8843884Z Entering 'third_party/fbgemm' 2025-09-07T12:46:43.8895163Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T12:46:43.8944214Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T12:46:43.8996577Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T12:46:43.9042672Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T12:46:43.9096917Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T12:46:43.9142436Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T12:46:43.9188220Z Entering 'third_party/fbgemm/external/json' 2025-09-07T12:46:43.9238481Z Entering 'third_party/flash-attention' 2025-09-07T12:46:43.9287097Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T12:46:43.9339905Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T12:46:43.9395170Z Entering 'third_party/flatbuffers' 2025-09-07T12:46:43.9446324Z Entering 'third_party/fmt' 2025-09-07T12:46:43.9495477Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T12:46:43.9544147Z Entering 'third_party/gloo' 2025-09-07T12:46:43.9592399Z Entering 'third_party/googletest' 2025-09-07T12:46:43.9641054Z Entering 'third_party/ideep' 2025-09-07T12:46:43.9689027Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T12:46:43.9745472Z Entering 'third_party/ittapi' 2025-09-07T12:46:43.9794261Z Entering 'third_party/kineto' 2025-09-07T12:46:43.9842384Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T12:46:43.9890273Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T12:46:43.9939713Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T12:46:43.9986554Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T12:46:44.0033141Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T12:46:44.0078151Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T12:46:44.0129356Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T12:46:44.0175822Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T12:46:44.0222589Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T12:46:44.0270211Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T12:46:44.0319464Z Entering 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