2025-09-07T08:58:35.5198844Z Current runner version: '2.328.0' 2025-09-07T08:58:35.5204616Z Runner name: 'i-0b7d0f7dc0527ca9b-1005' 2025-09-07T08:58:35.5205406Z Runner group name: 'default' 2025-09-07T08:58:35.5206309Z Machine name: '5a777ccf0584' 2025-09-07T08:58:35.5208708Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T08:58:35.5210788Z Contents: read 2025-09-07T08:58:35.5211309Z Metadata: read 2025-09-07T08:58:35.5211946Z ##[endgroup] 2025-09-07T08:58:35.5214021Z Secret source: Actions 2025-09-07T08:58:35.5214870Z Prepare workflow directory 2025-09-07T08:58:35.5693094Z Prepare all required actions 2025-09-07T08:58:35.5727603Z Getting action download info 2025-09-07T08:58:35.9410674Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T08:58:36.8459812Z Download action repository 'pytorch/pytorch@main' (SHA:7a83cf430e97d83d6fb14880b9049e77ff725685) 2025-09-07T08:58:44.0348143Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T08:58:44.3667185Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T08:58:44.6622350Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T08:58:44.9506879Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T08:58:45.3626116Z Getting action download info 2025-09-07T08:58:45.4973302Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T08:58:45.8183380Z Getting action download info 2025-09-07T08:58:45.9512615Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T08:58:46.3042794Z Getting action download info 2025-09-07T08:58:46.4258251Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T08:58:46.7837740Z Getting action download info 2025-09-07T08:58:46.9201163Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T08:58:46.9205400Z ##[group] Inputs 2025-09-07T08:58:46.9205811Z build-environment: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T08:58:46.9211827Z 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"}]} 2025-09-07T08:58:46.9218400Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:58:46.9219243Z sync-tag: 2025-09-07T08:58:46.9220099Z timeout-minutes: 1440 2025-09-07T08:58:46.9220539Z use-gha: 2025-09-07T08:58:46.9221568Z 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 2025-09-07T08:58:46.9222631Z s3-bucket: gha-artifacts 2025-09-07T08:58:46.9223018Z aws-role-to-assume: 2025-09-07T08:58:46.9223642Z disable-monitor: false 2025-09-07T08:58:46.9223946Z monitor-log-interval: 15 2025-09-07T08:58:46.9224238Z monitor-data-collect-interval: 4 2025-09-07T08:58:46.9224545Z ##[endgroup] 2025-09-07T08:58:46.9224969Z Complete job name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 2, 5, linux.aws.h100) 2025-09-07T08:58:46.9703511Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T08:58:46.9704295Z with: 2025-09-07T08:58:46.9704796Z github-secret: *** 2025-09-07T08:58:46.9705433Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T08:58:46.9706070Z activate-with-label: false 2025-09-07T08:58:46.9706343Z label: with-ssh 2025-09-07T08:58:46.9706591Z remove-existing-keys: true 2025-09-07T08:58:46.9706869Z fail-silently: true 2025-09-07T08:58:46.9707320Z env: 2025-09-07T08:58:46.9726583Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:58:46.9726909Z ##[endgroup] 2025-09-07T08:58:47.0776980Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T08:58:47.0777739Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T08:58:47.0963603Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T08:58:47.0963977Z with: 2025-09-07T08:58:47.0964150Z no-sudo: true 2025-09-07T08:58:47.0964332Z submodules: recursive 2025-09-07T08:58:47.0964521Z fetch-depth: 0 2025-09-07T08:58:47.0964680Z env: 2025-09-07T08:58:47.0964832Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:58:47.0965048Z ##[endgroup] 2025-09-07T08:58:47.1039579Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:58:47.1040592Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:58:47.1058807Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:58:47.1059126Z env: 2025-09-07T08:58:47.1059300Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:58:47.1059507Z ##[endgroup] 2025-09-07T08:58:47.1200668Z ##[group]Run actions/checkout@v4 2025-09-07T08:58:47.1200918Z with: 2025-09-07T08:58:47.1201116Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:58:47.1201371Z fetch-depth: 0 2025-09-07T08:58:47.1201550Z submodules: recursive 2025-09-07T08:58:47.1201737Z show-progress: false 2025-09-07T08:58:47.1201928Z repository: pytorch/pytorch 2025-09-07T08:58:47.1202473Z token: *** 2025-09-07T08:58:47.1202649Z ssh-strict: true 2025-09-07T08:58:47.1202816Z ssh-user: git 2025-09-07T08:58:47.1202985Z persist-credentials: true 2025-09-07T08:58:47.1203184Z clean: true 2025-09-07T08:58:47.1203363Z sparse-checkout-cone-mode: true 2025-09-07T08:58:47.1203582Z fetch-tags: false 2025-09-07T08:58:47.1203749Z lfs: false 2025-09-07T08:58:47.1203910Z set-safe-directory: true 2025-09-07T08:58:47.1204095Z env: 2025-09-07T08:58:47.1204320Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:58:47.1204510Z ##[endgroup] 2025-09-07T08:58:47.2155665Z Syncing repository: pytorch/pytorch 2025-09-07T08:58:47.2156811Z ##[group]Getting Git version info 2025-09-07T08:58:47.2157160Z Working directory is '/home/eve/_work/pytorch/pytorch' 2025-09-07T08:58:47.2157633Z [command]/usr/bin/git version 2025-09-07T08:58:47.2164357Z git version 2.50.1 2025-09-07T08:58:47.2187725Z ##[endgroup] 2025-09-07T08:58:47.2199234Z Temporarily overriding HOME='/home/eve/_work/_temp/3aad7e4b-7537-4936-ba1e-838bf2ba6cfe' before making global git config changes 2025-09-07T08:58:47.2199970Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T08:58:47.2211928Z [command]/usr/bin/git config --global --add safe.directory /home/eve/_work/pytorch/pytorch 2025-09-07T08:58:47.2247859Z Deleting the contents of '/home/eve/_work/pytorch/pytorch' 2025-09-07T08:58:47.2251397Z ##[group]Initializing the repository 2025-09-07T08:58:47.2254399Z [command]/usr/bin/git init /home/eve/_work/pytorch/pytorch 2025-09-07T08:58:47.2303108Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T08:58:47.2303714Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T08:58:47.2304177Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T08:58:47.2304507Z hint: 2025-09-07T08:58:47.2304769Z hint: git config --global init.defaultBranch 2025-09-07T08:58:47.2305045Z hint: 2025-09-07T08:58:47.2305301Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T08:58:47.2305773Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T08:58:47.2306127Z hint: 2025-09-07T08:58:47.2306297Z hint: git branch -m 2025-09-07T08:58:47.2306497Z hint: 2025-09-07T08:58:47.2306799Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-09-07T08:58:47.2307379Z Initialized empty Git repository in /home/eve/_work/pytorch/pytorch/.git/ 2025-09-07T08:58:47.2313123Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T08:58:47.2351379Z ##[endgroup] 2025-09-07T08:58:47.2352132Z ##[group]Disabling automatic garbage collection 2025-09-07T08:58:47.2354603Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T08:58:47.2388474Z ##[endgroup] 2025-09-07T08:58:47.2388818Z ##[group]Setting up auth 2025-09-07T08:58:47.2393914Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T08:58:47.2425237Z [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' || :" 2025-09-07T08:58:47.2677287Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T08:58:47.2705825Z [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' || :" 2025-09-07T08:58:47.2939379Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T08:58:47.2975049Z ##[endgroup] 2025-09-07T08:58:47.2975397Z ##[group]Fetching the repository 2025-09-07T08:58:47.2982081Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T08:59:30.5106546Z From https://github.com/pytorch/pytorch 2025-09-07T08:59:30.5107058Z * [new branch] 160583 -> origin/160583 2025-09-07T08:59:30.5107651Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T08:59:30.5108123Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T08:59:30.5108788Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T08:59:30.5110750Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T08:59:30.5112473Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T08:59:30.5114998Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T08:59:30.5116554Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T08:59:30.5118243Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T08:59:30.5119864Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T08:59:30.5121809Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T08:59:30.5132303Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T08:59:30.5133767Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T08:59:30.5135616Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T08:59:30.5137024Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T08:59:30.5139102Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T08:59:30.5140748Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T08:59:30.5142438Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T08:59:30.5144176Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T08:59:30.5145708Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T08:59:30.5147341Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T08:59:30.5148950Z * [new branch] addsimde -> origin/addsimde 2025-09-07T08:59:30.5151278Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T08:59:30.5153143Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T08:59:30.5154696Z * [new branch] adi/test -> origin/adi/test 2025-09-07T08:59:30.5156300Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T08:59:30.5157850Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T08:59:30.5159328Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T08:59:30.5161422Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T08:59:30.5162780Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T08:59:30.5164310Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T08:59:30.5167072Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T08:59:30.5168693Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T08:59:30.5170400Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T08:59:30.5172868Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T08:59:30.5174436Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T08:59:30.5175996Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T08:59:30.5177522Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T08:59:30.5179167Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T08:59:30.5180855Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T08:59:30.5182509Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T08:59:30.5184167Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T08:59:30.5185786Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T08:59:30.5187357Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T08:59:30.5188783Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T08:59:30.5190486Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T08:59:30.5192114Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T08:59:30.5193619Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T08:59:30.5195245Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T08:59:30.5197016Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T08:59:30.5198554Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T08:59:30.5200098Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-09-07T08:59:30.5202017Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-09-07T08:59:30.5203565Z * [new branch] aoti-cuda-alloc -> origin/aoti-cuda-alloc 2025-09-07T08:59:30.5205202Z * [new branch] aoti_target_windows -> origin/aoti_target_windows 2025-09-07T08:59:30.5206787Z * [new branch] aoti_weight_sharing -> origin/aoti_weight_sharing 2025-09-07T08:59:30.5208441Z * [new branch] atalman-inductor-perf-cu124 -> origin/atalman-inductor-perf-cu124 2025-09-07T08:59:30.5210418Z * [new branch] atalman-inductor-perf-cu124.1 -> origin/atalman-inductor-perf-cu124.1 2025-09-07T08:59:30.5211973Z * [new branch] atalman-patch-1 -> origin/atalman-patch-1 2025-09-07T08:59:30.5213508Z * [new branch] atalman-patch-3 -> origin/atalman-patch-3 2025-09-07T08:59:30.5215068Z * [new branch] atalman-patch-4 -> origin/atalman-patch-4 2025-09-07T08:59:30.5216777Z * [new branch] atalman-patch-5 -> origin/atalman-patch-5 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2025-09-07T08:59:31.4192947Z * [new branch] xmfan/ca_fix_polyfills -> origin/xmfan/ca_fix_polyfills 2025-09-07T08:59:31.4194292Z * [new branch] xmfan/ca_jan3 -> origin/xmfan/ca_jan3 2025-09-07T08:59:31.4195774Z * [new branch] xmfan/ca_jun18 -> origin/xmfan/ca_jun18 2025-09-07T08:59:31.4197295Z * [new branch] xmfan/ca_jun24 -> origin/xmfan/ca_jun24 2025-09-07T08:59:31.4198819Z * [new branch] xmfan/ca_mem_base -> origin/xmfan/ca_mem_base 2025-09-07T08:59:31.4200430Z * [new branch] xmfan/ca_mem_fix -> origin/xmfan/ca_mem_fix 2025-09-07T08:59:31.4202093Z * [new branch] xmfan/ca_memory_fix -> origin/xmfan/ca_memory_fix 2025-09-07T08:59:31.4203593Z * [new branch] xmfan/ca_memory_fix_rebased -> origin/xmfan/ca_memory_fix_rebased 2025-09-07T08:59:31.4205074Z * [new branch] xmfan/ca_memory_fix_rebased2 -> origin/xmfan/ca_memory_fix_rebased2 2025-09-07T08:59:31.4206643Z * [new branch] xmfan/ca_move_to_cuda -> origin/xmfan/ca_move_to_cuda 2025-09-07T08:59:31.4208113Z * [new branch] xmfan/ca_nested -> origin/xmfan/ca_nested 2025-09-07T08:59:31.4209685Z * [new branch] xmfan/ca_overhead -> origin/xmfan/ca_overhead 2025-09-07T08:59:31.4211503Z * [new branch] xmfan/ca_overhead_0eba7e5451 -> origin/xmfan/ca_overhead_0eba7e5451 2025-09-07T08:59:31.4213031Z * [new branch] xmfan/ca_scalar -> origin/xmfan/ca_scalar 2025-09-07T08:59:31.4214592Z * [new branch] xmfan/ca_subclass_mem_fix -> origin/xmfan/ca_subclass_mem_fix 2025-09-07T08:59:31.4216124Z * [new branch] xmfan/ca_warm_mem -> origin/xmfan/ca_warm_mem 2025-09-07T08:59:31.4217650Z * [new branch] xmfan/ca_warm_mem_base -> origin/xmfan/ca_warm_mem_base 2025-09-07T08:59:31.4219157Z * [new branch] xmfan/cacu_jun18 -> origin/xmfan/cacu_jun18 2025-09-07T08:59:31.4221047Z * [new branch] xmfan/cacu_jun19 -> origin/xmfan/cacu_jun19 2025-09-07T08:59:31.4222589Z * [new branch] xmfan/cacu_jun4 -> origin/xmfan/cacu_jun4 2025-09-07T08:59:31.4224495Z * [new branch] xmfan/cacu_may27 -> origin/xmfan/cacu_may27 2025-09-07T08:59:31.4225947Z * [new branch] xmfan/disable_duck_shape -> origin/xmfan/disable_duck_shape 2025-09-07T08:59:31.4227550Z * [new branch] xmfan/fca_cpp_node_passthrough -> origin/xmfan/fca_cpp_node_passthrough 2025-09-07T08:59:31.4229006Z * [new branch] xmfan/issue_123374 -> origin/xmfan/issue_123374 2025-09-07T08:59:31.4230940Z * [new branch] xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T08:59:31.4232679Z * [new branch] xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T08:59:31.4234090Z * [new branch] xmfan/segfault_test -> origin/xmfan/segfault_test 2025-09-07T08:59:31.4235546Z * [new branch] xmfan/single_step -> origin/xmfan/single_step 2025-09-07T08:59:31.4237075Z * [new branch] xmfan/sth_0829 -> origin/xmfan/sth_0829 2025-09-07T08:59:31.4238755Z * [new branch] xmfan/test -> origin/xmfan/test 2025-09-07T08:59:31.4241462Z * [new branch] yguo/debug-0226-constexpr -> origin/yguo/debug-0226-constexpr 2025-09-07T08:59:31.4242956Z * [new branch] yguo/new_latest_changes -> origin/yguo/new_latest_changes 2025-09-07T08:59:31.4244413Z * [new branch] yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes 2025-09-07T08:59:31.4246149Z * [new branch] yihan_quantization -> origin/yihan_quantization 2025-09-07T08:59:31.4248457Z * [new branch] yiming/add_jit_trace_benchmark -> origin/yiming/add_jit_trace_benchmark 2025-09-07T08:59:31.4250022Z * [new branch] yiming/add_nativert_benchmark -> origin/yiming/add_nativert_benchmark 2025-09-07T08:59:31.4251788Z * [new branch] yiming/bootcamp -> origin/yiming/bootcamp 2025-09-07T08:59:31.4254020Z * [new branch] zainr/canary-test -> origin/zainr/canary-test 2025-09-07T08:59:31.4255685Z * [new branch] zainr/cleanup-gh-runners -> origin/zainr/cleanup-gh-runners 2025-09-07T08:59:31.4257035Z * [new branch] zainr/git-push-v2 -> origin/zainr/git-push-v2 2025-09-07T08:59:31.4258575Z * [new branch] zainr/pull-migration-c -> origin/zainr/pull-migration-c 2025-09-07T08:59:31.4260076Z * [new branch] zainr/test -> origin/zainr/test 2025-09-07T08:59:31.4261873Z * [new branch] zainr/test2 -> origin/zainr/test2 2025-09-07T08:59:31.4263432Z * [new branch] zainr/unstable -> origin/zainr/unstable 2025-09-07T08:59:31.4265058Z * [new branch] zainr/unstable-xla -> origin/zainr/unstable-xla 2025-09-07T08:59:31.4266967Z * [new branch] zasdfgbnm-patch-3 -> origin/zasdfgbnm-patch-3 2025-09-07T08:59:31.4268643Z * [new branch] zb2p -> origin/zb2p 2025-09-07T08:59:31.4270750Z * [new branch] zero_grad_optimization -> origin/zero_grad_optimization 2025-09-07T08:59:31.4272819Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-09-07T08:59:31.4275606Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-09-07T08:59:31.4277886Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-09-07T08:59:31.4280167Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T08:59:31.4281820Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T08:59:31.4283088Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T08:59:31.4284620Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T08:59:31.4285282Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T08:59:31.4286150Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T08:59:31.4287077Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T08:59:31.4287850Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T08:59:31.4288732Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T08:59:31.4289701Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T08:59:31.4290952Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T08:59:31.4291842Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T08:59:31.4292595Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T08:59:31.4293788Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T08:59:31.4294712Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T08:59:31.4295456Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T08:59:31.4296700Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T08:59:31.4297460Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T08:59:31.4298233Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T08:59:31.4299091Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T08:59:31.4300061Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T08:59:31.4301270Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T08:59:31.4302537Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T08:59:31.4303762Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T08:59:31.4304655Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T08:59:31.4305375Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T08:59:31.4306240Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T08:59:31.4306997Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T08:59:31.4307847Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T08:59:31.4308727Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T08:59:31.4309581Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T08:59:31.4310634Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T08:59:31.4311485Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T08:59:31.4312391Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T08:59:31.4313298Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T08:59:31.4314323Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T08:59:31.4315620Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T08:59:31.4316564Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T08:59:31.4317722Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T08:59:31.4318366Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T08:59:31.4319915Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T08:59:31.4321245Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T08:59:31.4322443Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T08:59:31.4323444Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T08:59:31.4324236Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T08:59:31.4325449Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T08:59:31.4326463Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T08:59:31.4327237Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T08:59:31.4328232Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T08:59:31.4329285Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T08:59:31.4330446Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T08:59:31.4331692Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T08:59:31.4332430Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T08:59:31.4333314Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T08:59:31.4334205Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T08:59:31.4334914Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T08:59:31.4335818Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T08:59:31.4336633Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T08:59:31.4337471Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T08:59:31.4338229Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T08:59:31.4339084Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T08:59:31.4339929Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T08:59:31.4340979Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T08:59:31.4341816Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T08:59:31.4342681Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T08:59:31.4343810Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T08:59:31.4344801Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T08:59:31.4345654Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T08:59:31.4346532Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T08:59:31.4347551Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T08:59:31.4348381Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T08:59:31.4349436Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T08:59:31.4350458Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T08:59:31.4351453Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T08:59:31.4352601Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T08:59:31.4353272Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T08:59:31.4354311Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T08:59:31.4355178Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T08:59:31.4356201Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T08:59:31.4357263Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T08:59:31.4358186Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T08:59:31.4359130Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T08:59:31.4360458Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T08:59:31.4361601Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T08:59:31.4362646Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T08:59:31.4363593Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T08:59:31.4364507Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T08:59:31.4365556Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T08:59:31.4366433Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T08:59:31.4374556Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-09-07T08:59:31.4374788Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T08:59:31.4374944Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T08:59:31.4375091Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T08:59:31.4375226Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T08:59:31.4375369Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T08:59:31.4375505Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T08:59:31.4375654Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T08:59:31.4375804Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T08:59:31.4376429Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T08:59:31.4377376Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T08:59:31.4378378Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T08:59:31.4379413Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T08:59:31.4380469Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T08:59:31.4381801Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T08:59:31.4382727Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T08:59:31.4383787Z * [new tag] ciflow/inductor/160928 -> ciflow/inductor/160928 2025-09-07T08:59:31.4384669Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T08:59:31.4385558Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T08:59:31.4386444Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T08:59:31.4387480Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T08:59:31.4388614Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T08:59:31.4389463Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T08:59:31.4390614Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T08:59:31.4391645Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T08:59:31.4392543Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T08:59:31.4393466Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T08:59:31.4394542Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T08:59:31.4395529Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T08:59:31.4396452Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T08:59:31.4397389Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T08:59:31.4398534Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T08:59:31.4399421Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T08:59:31.4400880Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T08:59:31.4401835Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T08:59:31.4402788Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T08:59:31.4403689Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T08:59:31.4404749Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T08:59:31.4405736Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T08:59:31.4406671Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T08:59:31.4407557Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T08:59:31.4408462Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T08:59:31.4409835Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T08:59:31.4411174Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T08:59:31.4412072Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T08:59:31.4413015Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T08:59:31.4413967Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T08:59:31.4414962Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T08:59:31.4415895Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T08:59:31.4416873Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T08:59:31.4417793Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T08:59:31.4418730Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T08:59:31.4419682Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T08:59:31.4421023Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T08:59:31.4421995Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T08:59:31.4423031Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T08:59:31.4424117Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T08:59:31.4425068Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T08:59:31.4426207Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T08:59:31.4426961Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T08:59:31.4427935Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T08:59:31.4428868Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T08:59:31.4430010Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T08:59:31.4431273Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T08:59:31.4432323Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T08:59:31.4433481Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T08:59:31.4434475Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T08:59:31.4435464Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T08:59:31.4436418Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T08:59:31.4437391Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T08:59:31.4438367Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T08:59:31.4439455Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T08:59:31.4440440Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T08:59:31.4441550Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T08:59:31.4442496Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T08:59:31.4443469Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T08:59:31.4444435Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T08:59:31.4445412Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T08:59:31.4446382Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T08:59:31.4447395Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T08:59:31.4448385Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T08:59:31.4449378Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T08:59:31.4450496Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T08:59:31.4451632Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T08:59:31.4452646Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T08:59:31.4453643Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T08:59:31.4454656Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T08:59:31.4455599Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T08:59:31.4456863Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T08:59:31.4457873Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T08:59:31.4458861Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T08:59:31.4459855Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T08:59:31.4461058Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T08:59:31.4462081Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T08:59:31.4463605Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T08:59:31.4464535Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T08:59:31.4465499Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T08:59:31.4466517Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T08:59:31.4467574Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T08:59:31.4468617Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T08:59:31.4469626Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T08:59:31.4470878Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T08:59:31.4472031Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T08:59:31.4473025Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T08:59:31.4474042Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T08:59:31.4475044Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T08:59:31.4476104Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T08:59:31.4477124Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T08:59:31.4478132Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T08:59:31.4479162Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T08:59:31.4480187Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T08:59:31.4481538Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T08:59:31.4482542Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T08:59:31.4483591Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T08:59:31.4484653Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T08:59:31.4485694Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T08:59:31.4486873Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T08:59:31.4487970Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T08:59:31.4488965Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T08:59:31.4490362Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T08:59:31.4491797Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T08:59:31.4492832Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T08:59:31.4494039Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T08:59:31.4495073Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T08:59:31.4496119Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T08:59:31.4497169Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T08:59:31.4498203Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T08:59:31.4499290Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T08:59:31.4500523Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T08:59:31.4501745Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T08:59:31.4502811Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T08:59:31.4504122Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T08:59:31.4505066Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T08:59:31.4506092Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T08:59:31.4507170Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T08:59:31.4508235Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T08:59:31.4509275Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T08:59:31.4510514Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T08:59:31.4511705Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T08:59:31.4512792Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T08:59:31.4513838Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T08:59:31.4515042Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T08:59:31.4516058Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T08:59:31.4517154Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T08:59:31.4518254Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T08:59:31.4519338Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T08:59:31.4520527Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T08:59:31.4521713Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T08:59:31.4522792Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T08:59:31.4523883Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T08:59:31.4525189Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T08:59:31.4526388Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T08:59:31.4527566Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T08:59:31.4528753Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T08:59:31.4529596Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T08:59:31.4530534Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T08:59:31.4531836Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T08:59:31.4532667Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T08:59:31.4533476Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T08:59:31.4534296Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T08:59:31.4535090Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T08:59:31.4535915Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T08:59:31.4537043Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T08:59:31.4537934Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T08:59:31.4539010Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T08:59:31.4540483Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T08:59:31.4541632Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T08:59:31.4543197Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T08:59:31.4543946Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T08:59:31.4544815Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T08:59:31.4545709Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T08:59:31.4546382Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T08:59:31.4547418Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T08:59:31.4548387Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T08:59:31.4549365Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T08:59:31.4550646Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T08:59:31.4551857Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T08:59:31.4553214Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T08:59:31.4554284Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T08:59:31.4555261Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T08:59:31.4556344Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T08:59:31.4557539Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T08:59:31.4558646Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T08:59:31.4559797Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T08:59:31.4560997Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T08:59:31.4561879Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T08:59:31.4562632Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T08:59:31.4563491Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T08:59:31.4564314Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T08:59:31.4565074Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T08:59:31.4565900Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T08:59:31.4566834Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T08:59:31.4567709Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T08:59:31.4568453Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T08:59:31.4569337Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T08:59:31.4570570Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T08:59:31.4571608Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T08:59:31.4572705Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T08:59:31.4573584Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T08:59:31.4574539Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T08:59:31.4575384Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T08:59:31.4576111Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T08:59:31.4576969Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T08:59:31.4578256Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T08:59:31.4578918Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T08:59:31.4579916Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T08:59:31.4580996Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T08:59:31.4581823Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T08:59:31.4582660Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T08:59:31.4583585Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T08:59:31.4584429Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T08:59:31.4585272Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T08:59:31.4586136Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T08:59:31.4587437Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T08:59:31.4588393Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T08:59:31.4589828Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T08:59:31.4590782Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T08:59:31.4591723Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T08:59:31.4592686Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T08:59:31.4593740Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T08:59:31.4594723Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T08:59:31.4595678Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T08:59:31.4596666Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T08:59:31.4597621Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T08:59:31.4598593Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T08:59:31.4599513Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T08:59:31.4601186Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T08:59:31.4601852Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T08:59:31.4602880Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T08:59:31.4603869Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T08:59:31.4604841Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T08:59:31.4605892Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T08:59:31.4607318Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T08:59:31.4608223Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T08:59:31.4609315Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T08:59:31.4610115Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T08:59:31.4611249Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T08:59:31.4612105Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T08:59:31.4612815Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T08:59:31.4614105Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T08:59:31.4614743Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T08:59:31.4615610Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T08:59:31.4616461Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T08:59:31.4617363Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T08:59:31.4618062Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T08:59:31.4618957Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T08:59:31.4619787Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T08:59:31.4620856Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T08:59:31.4621727Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T08:59:31.4622561Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T08:59:31.4623546Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T08:59:31.4624451Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T08:59:31.4625266Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T08:59:31.4626192Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T08:59:31.4627045Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T08:59:31.4627880Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T08:59:31.4628973Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T08:59:31.4629818Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T08:59:31.4631063Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T08:59:31.4631933Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T08:59:31.4632782Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T08:59:31.4633648Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T08:59:31.4634502Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T08:59:31.4635339Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T08:59:31.4636188Z * [new tag] ciflow/trunk/160483 -> ciflow/trunk/160483 2025-09-07T08:59:31.4637030Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T08:59:31.4637910Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T08:59:31.4638780Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T08:59:31.4639623Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T08:59:31.4640666Z * [new tag] ciflow/trunk/160928 -> ciflow/trunk/160928 2025-09-07T08:59:31.4641758Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T08:59:31.4642613Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T08:59:31.4643663Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T08:59:31.4644685Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T08:59:31.4645582Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T08:59:31.4646444Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T08:59:31.4647363Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T08:59:31.4648385Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T08:59:31.4649042Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T08:59:31.4650001Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T08:59:31.4651092Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T08:59:31.4651971Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T08:59:31.4652862Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T08:59:31.4653797Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T08:59:31.4654927Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T08:59:31.4655806Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T08:59:31.4656678Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T08:59:31.4657586Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T08:59:31.4658460Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T08:59:31.4659364Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T08:59:31.4660388Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T08:59:31.4661484Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T08:59:31.4662392Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T08:59:31.4663398Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T08:59:31.4664371Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T08:59:31.4665279Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T08:59:31.4666136Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T08:59:31.4667011Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T08:59:31.4667914Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T08:59:31.4668806Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T08:59:31.4669692Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T08:59:31.4670757Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T08:59:31.4671820Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T08:59:31.4672793Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T08:59:31.4673737Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T08:59:31.4674654Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T08:59:31.4675582Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T08:59:31.4676508Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T08:59:31.4677394Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T08:59:31.4678288Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T08:59:31.4679172Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T08:59:31.4680408Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T08:59:31.4681410Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T08:59:31.4682317Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T08:59:31.4683416Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T08:59:31.4684161Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T08:59:31.4685095Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T08:59:31.4686012Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T08:59:31.4687079Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T08:59:31.4688074Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T08:59:31.4688967Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T08:59:31.4689921Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T08:59:31.4691197Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T08:59:31.4692191Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T08:59:31.4693104Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T08:59:31.4694055Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T08:59:31.4695001Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T08:59:31.4696040Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T08:59:31.4696885Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T08:59:31.4697810Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T08:59:31.4698841Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T08:59:31.4699803Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T08:59:31.4700987Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T08:59:31.4701979Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T08:59:31.4702986Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T08:59:31.4704073Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T08:59:31.4704998Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T08:59:31.4706126Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T08:59:31.4707230Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T08:59:31.4708209Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T08:59:31.4709163Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T08:59:31.4710150Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T08:59:31.4711510Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T08:59:31.4712448Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T08:59:31.4713395Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T08:59:31.4714371Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T08:59:31.4715332Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T08:59:31.4716505Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T08:59:31.4717537Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T08:59:31.4718883Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T08:59:31.4720025Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T08:59:31.4721464Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T08:59:31.4722510Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T08:59:31.4723379Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T08:59:31.4724239Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T08:59:31.4725148Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T08:59:31.4726020Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T08:59:31.4726758Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T08:59:31.4727723Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T08:59:31.4728679Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T08:59:31.4729506Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T08:59:31.4730478Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T08:59:31.4731546Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T08:59:31.4732635Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T08:59:31.4733431Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T08:59:31.4734219Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T08:59:31.4735137Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T08:59:31.4735959Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T08:59:31.4736780Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T08:59:31.4737761Z * [new tag] cslpull75 -> cslpull75 2025-09-07T08:59:31.4738674Z * [new tag] cslpull76 -> cslpull76 2025-09-07T08:59:31.4739557Z * [new tag] cslpull77 -> cslpull77 2025-09-07T08:59:31.4740653Z * [new tag] cslpull78 -> cslpull78 2025-09-07T08:59:31.4741637Z * [new tag] cslpull79 -> cslpull79 2025-09-07T08:59:31.4742599Z * [new tag] cslpull80 -> cslpull80 2025-09-07T08:59:31.4743678Z * [new tag] cslpull81 -> cslpull81 2025-09-07T08:59:31.4744610Z * [new tag] cslpull82 -> cslpull82 2025-09-07T08:59:31.4745527Z * [new tag] cslpull83 -> cslpull83 2025-09-07T08:59:31.4746420Z * [new tag] cslpull84 -> cslpull84 2025-09-07T08:59:31.4747297Z * [new tag] cslpull85 -> cslpull85 2025-09-07T08:59:31.4748279Z * [new tag] cslpull86 -> cslpull86 2025-09-07T08:59:31.4749304Z * [new tag] cslpull87 -> cslpull87 2025-09-07T08:59:31.4750383Z * [new tag] cslpull88 -> cslpull88 2025-09-07T08:59:31.4751436Z * [new tag] cslpull89 -> cslpull89 2025-09-07T08:59:31.4752157Z * [new tag] cslpull90 -> cslpull90 2025-09-07T08:59:31.4753455Z * [new tag] cslpull91 -> cslpull91 2025-09-07T08:59:31.4754375Z * [new tag] cslpull92 -> cslpull92 2025-09-07T08:59:31.4755291Z * [new tag] flight_5 -> flight_5 2025-09-07T08:59:31.4756293Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T08:59:31.4757254Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T08:59:31.4758161Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T08:59:31.4759070Z * [new tag] forpull1 -> forpull1 2025-09-07T08:59:31.4760769Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T08:59:31.4761729Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T08:59:31.4762675Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T08:59:31.4763672Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T08:59:31.4764534Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T08:59:31.4765579Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T08:59:31.4767118Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T08:59:31.4768423Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T08:59:31.4769107Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T08:59:31.4770055Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T08:59:31.4771473Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T08:59:31.4772355Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T08:59:31.4773298Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T08:59:31.4774418Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T08:59:31.4775514Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T08:59:31.4776416Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T08:59:31.4777560Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T08:59:31.4778465Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T08:59:31.4779418Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T08:59:31.4781153Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T08:59:31.4782265Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T08:59:31.4783166Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T08:59:31.4784422Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T08:59:31.4785353Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T08:59:31.4786446Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T08:59:31.4787302Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T08:59:31.4788303Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T08:59:31.4789302Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T08:59:31.4790685Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T08:59:31.4791692Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T08:59:31.4792642Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T08:59:31.4793621Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T08:59:31.4794666Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T08:59:31.4795613Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T08:59:31.4797098Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T08:59:31.4798044Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T08:59:31.4799204Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T08:59:31.4800035Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T08:59:31.4801320Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T08:59:31.4802365Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T08:59:31.4803261Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T08:59:31.4804300Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T08:59:31.4805778Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T08:59:31.4806869Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T08:59:31.4807914Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T08:59:31.4808810Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T08:59:31.4809932Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T08:59:31.4811276Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T08:59:31.4812313Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T08:59:31.4813331Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T08:59:31.4814354Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T08:59:31.4815441Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T08:59:31.4816501Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T08:59:31.4817535Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T08:59:31.4818881Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T08:59:31.4819723Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T08:59:31.4821103Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T08:59:31.4823411Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T08:59:31.4823716Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T08:59:31.4824799Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T08:59:31.4825585Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T08:59:31.4826623Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T08:59:31.4827445Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T08:59:31.4831085Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T08:59:31.4832115Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T08:59:31.4833182Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T08:59:31.4834014Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T08:59:31.4834883Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T08:59:31.4835996Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T08:59:31.4837018Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T08:59:31.4838063Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T08:59:31.4839187Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T08:59:31.4840369Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T08:59:31.4841584Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T08:59:31.4842626Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T08:59:31.4843727Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T08:59:31.4844828Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T08:59:31.4845903Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T08:59:31.4846941Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T08:59:31.4847989Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T08:59:31.4849064Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T08:59:31.4850113Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T08:59:31.4851437Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T08:59:31.4852462Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T08:59:31.4853515Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T08:59:31.4854622Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T08:59:31.4855691Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T08:59:31.4856798Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T08:59:31.4857926Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T08:59:31.4859474Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T08:59:31.4860714Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T08:59:31.4861842Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T08:59:31.4863117Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T08:59:31.4864298Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T08:59:31.4865368Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T08:59:31.4866544Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T08:59:31.4867604Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T08:59:31.4868625Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T08:59:31.4869800Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T08:59:31.4871701Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T08:59:31.4872709Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T08:59:31.4873801Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T08:59:31.4874893Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T08:59:31.4876014Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T08:59:31.4877091Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T08:59:31.4878128Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T08:59:31.4879247Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T08:59:31.4880647Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T08:59:31.4882270Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T08:59:31.4883129Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T08:59:31.4884390Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T08:59:31.4885459Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T08:59:31.4886591Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T08:59:31.4887677Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T08:59:31.4888813Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T08:59:31.4889880Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T08:59:31.4891354Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T08:59:31.4892409Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T08:59:31.4893539Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T08:59:31.4894667Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T08:59:31.4895835Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T08:59:31.4897009Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T08:59:31.4898190Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T08:59:31.4899206Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T08:59:31.4900106Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T08:59:31.4901529Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T08:59:31.4902422Z * [new tag] trunk/7a83cf430e97d83d6fb14880b9049e77ff725685 -> trunk/7a83cf430e97d83d6fb14880b9049e77ff725685 2025-09-07T08:59:31.4903738Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T08:59:31.4904927Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T08:59:31.4906054Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T08:59:31.4906941Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T08:59:31.4908119Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T08:59:31.4909243Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T08:59:31.4910525Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T08:59:31.4911925Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T08:59:31.4912879Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T08:59:31.4914090Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T08:59:31.4915244Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T08:59:31.4916365Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T08:59:31.4917605Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T08:59:31.4918748Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T08:59:31.4919905Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T08:59:31.4921408Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T08:59:31.4922605Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T08:59:31.4923714Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T08:59:31.4924843Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T08:59:31.4925993Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T08:59:31.4927470Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T08:59:31.4928740Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T08:59:31.4929868Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T08:59:31.4931320Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T08:59:31.4932551Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T08:59:31.4933703Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T08:59:31.4934971Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:59:31.4936168Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T08:59:31.4937270Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T08:59:31.4938792Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T08:59:31.4939855Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T08:59:31.4941227Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T08:59:31.4942389Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T08:59:31.4943890Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T08:59:31.4944857Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T08:59:31.4945936Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T08:59:31.4947104Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T08:59:31.4948235Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T08:59:31.4949262Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T08:59:31.4950530Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T08:59:31.4952065Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T08:59:31.4953059Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T08:59:31.4954144Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T08:59:31.4955384Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T08:59:31.4956597Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T08:59:31.4957661Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T08:59:31.4958767Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T08:59:31.4959791Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T08:59:31.4961217Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T08:59:31.4962326Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T08:59:31.4963456Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T08:59:31.4964499Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T08:59:31.4965549Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T08:59:31.4966619Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T08:59:31.4967730Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T08:59:31.4968812Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T08:59:31.4969991Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T08:59:31.4971334Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T08:59:31.4972456Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T08:59:31.4973754Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T08:59:31.4974646Z * [new tag] trunk/ada43ed39c80b746b4822c92640a1882619e2795 -> trunk/ada43ed39c80b746b4822c92640a1882619e2795 2025-09-07T08:59:31.4975914Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T08:59:31.4977096Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T08:59:31.4978266Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T08:59:31.4979423Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T08:59:31.4980694Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T08:59:31.4981976Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T08:59:31.4983111Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T08:59:31.4984359Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T08:59:31.4985431Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T08:59:31.4986617Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T08:59:31.4987765Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T08:59:31.4988839Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T08:59:31.4990091Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T08:59:31.4991611Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T08:59:31.4992658Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T08:59:31.4994119Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T08:59:31.4995286Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T08:59:31.4996451Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T08:59:31.4997550Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T08:59:31.4998648Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T08:59:31.4999814Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T08:59:31.5001008Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T08:59:31.5002451Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T08:59:31.5003329Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T08:59:31.5004548Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T08:59:31.5005871Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T08:59:31.5006771Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T08:59:31.5007936Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T08:59:31.5009059Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T08:59:31.5010172Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T08:59:31.5011535Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T08:59:31.5012763Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T08:59:31.5013699Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T08:59:31.5014856Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T08:59:31.5015980Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T08:59:31.5017065Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T08:59:31.5018263Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T08:59:31.5019167Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T08:59:31.5020508Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T08:59:31.5021700Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T08:59:31.5022777Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T08:59:31.5024062Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T08:59:31.5025381Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T08:59:31.5026528Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T08:59:31.5027647Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T08:59:31.5028759Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T08:59:31.5029969Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T08:59:31.5031686Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T08:59:31.5032860Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T08:59:31.5033948Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T08:59:31.5035051Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T08:59:31.5036345Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T08:59:31.5037110Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T08:59:31.5038425Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T08:59:31.5039996Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T08:59:31.5041477Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T08:59:31.5042619Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T08:59:31.5043704Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T08:59:31.5044822Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T08:59:31.5045975Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T08:59:31.5046861Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T08:59:31.5048179Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T08:59:31.5049013Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T08:59:31.5050321Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T08:59:31.5051647Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T08:59:31.5052806Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T08:59:31.5053976Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T08:59:31.5055134Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T08:59:31.5056227Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T08:59:31.5057369Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T08:59:31.5058575Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T08:59:31.5059435Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T08:59:31.5060779Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T08:59:31.5062009Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T08:59:31.5063200Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T08:59:31.5064442Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T08:59:31.5065540Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T08:59:31.5066421Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T08:59:31.5067793Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T08:59:31.5068862Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T08:59:31.5069985Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T08:59:31.5071561Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T08:59:31.5072742Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T08:59:31.5073812Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T08:59:31.5074914Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T08:59:31.5076013Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T08:59:31.5077196Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T08:59:31.5078202Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T08:59:31.5079378Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T08:59:31.5080655Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T08:59:31.5081950Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T08:59:31.5083150Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T08:59:31.5084222Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T08:59:31.5085110Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T08:59:31.5086006Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T08:59:31.5086941Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T08:59:31.5087884Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T08:59:31.5088850Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T08:59:31.5089711Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T08:59:31.5090934Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T08:59:31.5091983Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T08:59:31.5093036Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T08:59:31.5093927Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T08:59:31.5094922Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T08:59:31.5095885Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T08:59:31.5096921Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T08:59:31.5097923Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T08:59:31.5098972Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T08:59:31.5100024Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T08:59:31.5101421Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T08:59:31.5102445Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T08:59:31.5103769Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T08:59:31.5104663Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T08:59:31.5105708Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T08:59:31.5106539Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T08:59:31.5107568Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T08:59:31.5108598Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T08:59:31.5109856Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T08:59:31.5111225Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T08:59:31.5112298Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T08:59:31.5113144Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T08:59:31.5114269Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T08:59:31.5115141Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T08:59:31.5115963Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T08:59:31.5116818Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T08:59:31.5117877Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T08:59:31.5119000Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T08:59:31.5120130Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T08:59:31.5121492Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T08:59:31.5122578Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T08:59:31.5123658Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T08:59:31.5124519Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T08:59:31.5125377Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T08:59:31.5126463Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T08:59:31.5127485Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T08:59:31.5128572Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T08:59:31.5129814Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T08:59:31.5131179Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T08:59:31.5132223Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T08:59:31.5133342Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T08:59:31.5134232Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T08:59:31.5135070Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T08:59:31.5135929Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T08:59:31.5137131Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T08:59:31.5138250Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T08:59:31.5139420Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T08:59:31.5140788Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T08:59:31.5141657Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T08:59:31.5142778Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T08:59:31.5144042Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T08:59:31.5145075Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T08:59:31.5146130Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T08:59:31.5147569Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T08:59:31.5148260Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T08:59:31.5149189Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T08:59:31.5150388Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T08:59:31.5151419Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T08:59:31.5152503Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T08:59:31.5153577Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T08:59:31.5154628Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T08:59:31.5155749Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T08:59:31.5156630Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T08:59:31.5157719Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T08:59:31.5158805Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T08:59:31.5159717Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T08:59:31.5161135Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T08:59:31.5162323Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T08:59:31.5163466Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T08:59:31.5164628Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T08:59:31.5165651Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T08:59:31.5166523Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T08:59:31.5167681Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T08:59:31.5168594Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T08:59:31.5169517Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T08:59:31.5170897Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T08:59:31.5172178Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T08:59:31.5173256Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T08:59:31.5174458Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T08:59:31.5175511Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T08:59:31.5176908Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T08:59:31.5177763Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T08:59:31.5178788Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T08:59:31.5179887Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T08:59:31.5181498Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T08:59:31.5182451Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T08:59:31.5183573Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T08:59:31.5184746Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T08:59:31.5186046Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T08:59:31.5187131Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T08:59:31.5187993Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T08:59:31.5189191Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T08:59:31.5190064Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T08:59:31.5191647Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T08:59:31.5192768Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T08:59:31.5194105Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T08:59:31.5194847Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T08:59:31.5195886Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T08:59:31.5197007Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T08:59:31.5197880Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T08:59:31.5198861Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T08:59:31.5200656Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T08:59:31.5201662Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T08:59:31.5202812Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T08:59:31.5203889Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T08:59:31.5205106Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T08:59:31.5206254Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T08:59:31.5207109Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T08:59:31.5208377Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T08:59:31.5209789Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T08:59:31.5211018Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T08:59:31.5212257Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T08:59:31.5213336Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T08:59:31.5214553Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T08:59:31.5215751Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T08:59:31.5216906Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T08:59:31.5217999Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T08:59:31.5218894Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T08:59:31.5220198Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T08:59:31.5221660Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T08:59:31.5222518Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T08:59:31.5223808Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T08:59:31.5224808Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T08:59:31.5226440Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T08:59:31.5227586Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T08:59:31.5228695Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T08:59:31.5229949Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T08:59:31.5231491Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T08:59:31.5232636Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T08:59:31.5233513Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T08:59:31.5234748Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T08:59:31.5235952Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T08:59:31.5237055Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T08:59:31.5238352Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T08:59:31.5239608Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T08:59:31.5240940Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T08:59:31.5242070Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T08:59:31.5243147Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T08:59:31.5244368Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T08:59:31.5245662Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T08:59:31.5246644Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T08:59:31.5247907Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T08:59:31.5249132Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T08:59:31.5250464Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T08:59:31.5251632Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T08:59:31.5252765Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T08:59:31.5253883Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T08:59:31.5255039Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T08:59:31.5256018Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T08:59:31.5257032Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T08:59:31.5258312Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T08:59:31.5259574Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T08:59:31.5260753Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T08:59:31.5261853Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T08:59:31.5262826Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T08:59:31.5264238Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T08:59:31.5265234Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T08:59:31.5266221Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T08:59:31.5267418Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T08:59:31.5268589Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T08:59:31.5269755Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T08:59:31.5271291Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T08:59:31.5272261Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T08:59:31.5273376Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T08:59:31.5274619Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T08:59:31.5275800Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T08:59:31.5276982Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T08:59:31.5277995Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T08:59:31.5279168Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T08:59:31.5280629Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T08:59:31.5281790Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T08:59:31.5282789Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T08:59:31.5283988Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T08:59:31.5285204Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T08:59:31.5287052Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T08:59:31.5288218Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T08:59:31.5289395Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T08:59:31.5290913Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T08:59:31.5291995Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T08:59:31.5293111Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T08:59:31.5294382Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T08:59:31.5295637Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T08:59:31.5296883Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T08:59:31.5298016Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T08:59:31.5299321Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T08:59:31.5300443Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T08:59:31.5301808Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T08:59:31.5303114Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T08:59:31.5304385Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T08:59:31.5305562Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T08:59:31.5306788Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T08:59:31.5307800Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T08:59:31.5308981Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T08:59:31.5310108Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T08:59:31.5311955Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T08:59:31.5313154Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T08:59:31.5314359Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T08:59:31.5315607Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T08:59:31.5316811Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T08:59:31.5318051Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T08:59:31.5319052Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T08:59:31.5320064Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T08:59:31.5321344Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T08:59:31.5322609Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T08:59:31.5323869Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T08:59:31.5325075Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T08:59:31.5326251Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T08:59:31.5327618Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T08:59:31.5328963Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T08:59:31.5330194Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T08:59:31.5331738Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T08:59:31.5333002Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T08:59:31.5334303Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T08:59:31.5335582Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T08:59:31.5336586Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T08:59:31.5337865Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T08:59:31.5339092Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T08:59:31.5340514Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T08:59:31.5342013Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T08:59:31.5343117Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T08:59:31.5344515Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T08:59:31.5345802Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T08:59:31.5347033Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T08:59:31.5348067Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T08:59:31.5349397Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T08:59:31.5350836Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T08:59:31.5352164Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T08:59:31.5353358Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T08:59:31.5354341Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T08:59:31.5355405Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T08:59:31.5356625Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T08:59:31.5357867Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T08:59:31.5359132Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T08:59:31.5360588Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T08:59:31.5361865Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T08:59:31.5363120Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T08:59:31.5364380Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T08:59:31.5365589Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T08:59:31.5366849Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T08:59:31.5368082Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T08:59:31.5369167Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T08:59:31.6247123Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T08:59:31.6276922Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:59:31.6281555Z ##[endgroup] 2025-09-07T08:59:31.6281926Z ##[group]Determining the checkout info 2025-09-07T08:59:31.6282758Z ##[endgroup] 2025-09-07T08:59:31.6286340Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T08:59:31.6343569Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T08:59:31.6373313Z ##[group]Checking out the ref 2025-09-07T08:59:31.6376342Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:59:32.6722805Z Updating files: 85% (16515/19405) 2025-09-07T08:59:32.6851270Z Updating files: 86% (16689/19405) 2025-09-07T08:59:32.6977874Z Updating files: 87% (16883/19405) 2025-09-07T08:59:32.7078217Z Updating files: 88% (17077/19405) 2025-09-07T08:59:32.7210891Z Updating files: 89% (17271/19405) 2025-09-07T08:59:32.7373988Z Updating files: 90% (17465/19405) 2025-09-07T08:59:32.7481734Z Updating files: 91% (17659/19405) 2025-09-07T08:59:32.7616914Z Updating files: 92% (17853/19405) 2025-09-07T08:59:32.7791617Z Updating files: 93% (18047/19405) 2025-09-07T08:59:32.7982609Z Updating files: 94% (18241/19405) 2025-09-07T08:59:32.8129764Z Updating files: 95% (18435/19405) 2025-09-07T08:59:32.8278857Z Updating files: 96% (18629/19405) 2025-09-07T08:59:32.8448381Z Updating files: 97% (18823/19405) 2025-09-07T08:59:32.8693623Z Updating files: 98% (19017/19405) 2025-09-07T08:59:32.8836344Z Updating files: 99% (19211/19405) 2025-09-07T08:59:32.8836588Z Updating files: 100% (19405/19405) 2025-09-07T08:59:32.9069170Z Updating files: 100% (19405/19405), done. 2025-09-07T08:59:32.9070517Z Note: switching to '93fb23d6fae7c4e82c4239a1033e522088742634'. 2025-09-07T08:59:32.9071090Z 2025-09-07T08:59:32.9071353Z You are in 'detached HEAD' state. You can look around, make experimental 2025-09-07T08:59:32.9071845Z changes and commit them, and you can discard any commits you make in this 2025-09-07T08:59:32.9072320Z state without impacting any branches by switching back to a branch. 2025-09-07T08:59:32.9072621Z 2025-09-07T08:59:32.9072797Z If you want to create a new branch to retain commits you create, you may 2025-09-07T08:59:32.9073228Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T08:59:32.9073482Z 2025-09-07T08:59:32.9073583Z git switch -c 2025-09-07T08:59:32.9073755Z 2025-09-07T08:59:32.9073851Z Or undo this operation with: 2025-09-07T08:59:32.9074016Z 2025-09-07T08:59:32.9074092Z git switch - 2025-09-07T08:59:32.9074211Z 2025-09-07T08:59:32.9074419Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T08:59:32.9074730Z 2025-09-07T08:59:32.9074887Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T08:59:32.9214279Z ##[endgroup] 2025-09-07T08:59:32.9214902Z ##[group]Setting up auth for fetching submodules 2025-09-07T08:59:32.9221790Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T08:59:32.9270615Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T08:59:32.9302430Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T08:59:32.9332878Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T08:59:32.9360922Z ##[endgroup] 2025-09-07T08:59:32.9361334Z ##[group]Fetching submodules 2025-09-07T08:59:32.9363872Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T08:59:32.9649505Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T08:59:32.9919917Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T08:59:32.9933743Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T08:59:32.9948656Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T08:59:32.9963870Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T08:59:32.9977660Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T08:59:32.9991977Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T08:59:33.0005159Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T08:59:33.0018052Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T08:59:33.0031775Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T08:59:33.0044619Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T08:59:33.0057612Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T08:59:33.0070656Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T08:59:33.0083029Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T08:59:33.0095556Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T08:59:33.0107505Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T08:59:33.0119759Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T08:59:33.0131860Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T08:59:33.0144211Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T08:59:33.0156725Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T08:59:33.0168458Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T08:59:33.0181224Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T08:59:33.0193137Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T08:59:33.0204868Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T08:59:33.0217188Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T08:59:33.0229239Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T08:59:33.0241205Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T08:59:33.0252664Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T08:59:33.0264397Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T08:59:33.0276935Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T08:59:33.0288556Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T08:59:33.0300769Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T08:59:33.0312582Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T08:59:33.0325186Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T08:59:33.0337243Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T08:59:33.0348925Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T08:59:33.0361046Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T08:59:33.0373245Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T08:59:33.0406284Z Cloning into '/home/eve/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T08:59:33.4283085Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T08:59:33.7469915Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T08:59:34.0238916Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T08:59:34.3973531Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T08:59:34.9110432Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T08:59:36.4453139Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T08:59:45.6272478Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T08:59:49.4225839Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T08:59:49.9437239Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T08:59:52.8875017Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T08:59:53.9895708Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T08:59:54.8922366Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T08:59:56.7629426Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T08:59:58.7322799Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T09:00:00.2937348Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T09:00:00.9173538Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T09:00:02.1505136Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T09:00:03.1848957Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T09:00:03.6825555Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T09:00:04.1849789Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T09:00:05.0999132Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T09:00:05.5437360Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T09:00:06.0815791Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T09:00:07.2427902Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T09:00:08.7952887Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T09:00:10.1372415Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T09:00:15.9735541Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T09:00:18.4017813Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T09:00:23.2709226Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T09:00:23.6266839Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T09:00:31.0168263Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T09:00:31.3646920Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T09:00:31.7173678Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T09:00:32.6665530Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T09:00:33.0894845Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T09:00:33.9698625Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T09:00:34.4903539Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T09:00:34.5043957Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T09:00:34.5153530Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T09:00:34.5479910Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T09:00:34.6493141Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T09:00:34.7125070Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T09:00:35.5131064Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T09:00:35.6711063Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T09:00:35.6741051Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:00:35.6774464Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T09:00:39.6074783Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T09:00:39.6335930Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T09:00:40.0388417Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T09:00:40.0885779Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T09:00:40.1962349Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T09:00:40.2466056Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T09:00:41.0159423Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T09:00:41.1655049Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T09:00:41.2003958Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T09:00:41.2130485Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:00:41.2194783Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:00:41.2204525Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T09:00:41.2721303Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T09:00:41.3225244Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:00:41.4601883Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T09:00:41.4637086Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T09:00:42.6598913Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T09:00:43.7140555Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T09:00:44.4369622Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T09:00:46.1036654Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T09:00:47.0196493Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T09:00:47.4839788Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T09:00:53.2841302Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T09:00:53.5545576Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T09:00:53.6576007Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T09:00:54.3078161Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T09:00:54.3557910Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T09:00:54.3703600Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T09:00:54.4904075Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T09:00:54.5755735Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T09:00:54.5788443Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:00:54.5798568Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:00:54.5827988Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T09:00:57.5557292Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T09:00:59.7442499Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T09:01:00.3518957Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T09:01:00.4989072Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T09:01:00.5316777Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T09:01:00.5729446Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T09:01:00.5995603Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T09:01:00.6448681Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T09:01:00.6588188Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T09:01:00.6615456Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T09:01:00.6644706Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T09:01:17.9016672Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T09:01:17.9936729Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T09:01:18.2033326Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T09:01:18.2417809Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:01:18.2496051Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:01:18.3742343Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:01:18.3779035Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T09:01:19.3977964Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T09:01:20.3809361Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T09:01:21.5982222Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T09:01:21.6005678Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:01:21.6015880Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:01:21.6022890Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:01:21.6035991Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:01:21.6044927Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:01:21.6057292Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:01:21.6064607Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:01:21.6078458Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:01:21.6111187Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T09:01:22.9312566Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T09:01:23.3711425Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T09:01:24.3435540Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T09:01:24.7902384Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T09:01:25.6816879Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T09:01:27.9873523Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T09:01:39.2745277Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T09:01:40.4205588Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T09:01:40.4471125Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T09:01:40.5000544Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T09:01:40.6281260Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T09:01:40.8548946Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:01:40.8587622Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T09:01:43.4465867Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T09:01:43.5322787Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T09:01:43.7144857Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T09:01:43.9615868Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T09:01:44.1594639Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T09:01:44.4244435Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T09:01:44.8347602Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T09:01:45.0549151Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T09:01:45.4261329Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T09:01:45.8050003Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T09:01:47.5688868Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T09:01:47.8108256Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T09:01:47.8143031Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T09:01:52.1136179Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T09:01:52.4907537Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T09:01:52.7512543Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:01:53.0177368Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:01:53.2802133Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:01:53.5591064Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:01:53.8576276Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:01:53.8593816Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:01:54.0301692Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:01:54.1893949Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:01:54.1930816Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T09:01:56.3850921Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T09:01:59.6682448Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T09:02:02.4799574Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T09:02:14.1554612Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T09:02:15.5461998Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T09:02:16.4379527Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T09:02:18.9312432Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T09:02:28.8812473Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T09:02:29.2504471Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T09:02:29.4026644Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T09:02:29.9666786Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T09:02:30.2468731Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T09:02:30.3044259Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T09:02:30.3719975Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T09:02:30.6747268Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:02:30.7563654Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:02:30.7597358Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-09-07T09:02:36.2886766Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-09-07T09:02:40.7294644Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T09:02:41.4378286Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T09:02:42.5218991Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T09:02:42.9738203Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T09:02:44.0829444Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-09-07T09:02:44.2463038Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:02:44.3474169Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-09-07T09:02:44.3508196Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-09-07T09:02:48.0715295Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-09-07T09:02:53.5073097Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-09-07T09:02:54.3308991Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-09-07T09:02:54.5459036Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-09-07T09:02:54.6243471Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-09-07T09:02:54.8483454Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8' 2025-09-07T09:02:55.1910912Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-09-07T09:02:55.6405012Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-09-07T09:02:56.0846255Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075' 2025-09-07T09:02:56.0903576Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:02:56.3424445Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:02:56.4321966Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:02:56.5579762Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:02:56.5614957Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'... 2025-09-07T09:02:59.3872145Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'... 2025-09-07T09:03:01.3523014Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'... 2025-09-07T09:03:05.0723558Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'... 2025-09-07T09:03:08.8802013Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-09-07T09:03:08.9604164Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-09-07T09:03:09.1576852Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-09-07T09:03:09.2943103Z Submodule path 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third_party/NNPACK (c07e3a0) 2025-09-07T09:03:38.8946808Z 2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07 third_party/NVTX (v3.1.0-263-g2942f16) 2025-09-07T09:03:38.9028029Z 1d8f600fd424278486eade7ed3e877c99f0846b1 third_party/VulkanMemoryAllocator (v2.1.0-982-g1d8f600) 2025-09-07T09:03:38.9485373Z 51a0103656eff6fc9bfd39a4597923c4b542c883 third_party/XNNPACK (remotes/origin/ds/ndk-1243-g51a0103656) 2025-09-07T09:03:38.9525980Z 01aae101b9e5e94d6c16a9514c9fb8df99c93150 third_party/aiter (v0.1.1-92-g01aae101) 2025-09-07T09:03:38.9552540Z 299e5928955cc62af9968370293b916f5130916f third_party/benchmark (v1.9.3) 2025-09-07T09:03:38.9629032Z 7fe50dc3da2069d6645d9deb8c017a876472a977 third_party/composable_kernel (rocm-6.4.3-459-g7fe50dc3d) 2025-09-07T09:03:38.9758572Z 89c932f313c6437c38f2982869beacc89c2f2246 third_party/cpp-httplib (v0.26.0) 2025-09-07T09:03:38.9881175Z 5e3d2445e6a84d9599bee2bf78edbb4d80865e1d third_party/cpuinfo (5e3d244) 2025-09-07T09:03:38.9928860Z f937055efc6d414d11f4c6577e3977fe74f35fb6 third_party/cudnn_frontend (v0.5-52-gf937055) 2025-09-07T09:03:39.0030539Z e51efbfe18fe4f4cbb66ab814c55bf4aa0185491 third_party/cutlass (v4.1.0) 2025-09-07T09:03:39.0093780Z 4b39c551efe15e6bbade20565b0ceb2d8ce3352d third_party/fbgemm (v1.3.0-rc1-342-g4b39c551) 2025-09-07T09:03:39.0186045Z 979702c87a8713a8e0a5e9fee122b90d2ef13be5 third_party/flash-attention (v2.7.4) 2025-09-07T09:03:39.0215735Z a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757 third_party/flatbuffers (v24.12.23) 2025-09-07T09:03:39.0585882Z 40626af88bd7df9a5fb80be7b25ac85b122d6c21 third_party/fmt (11.2.0) 2025-09-07T09:03:39.0698883Z 3fb5c176c17c765a3492cd2f0321b0dab712f350 third_party/gemmlowp/gemmlowp (remotes/origin/revert-87-master-135-g3fb5c17) 2025-09-07T09:03:39.0826282Z c7b7b022c124d9643957d9bd55f57ac59fce8fa2 third_party/gloo (remotes/origin/gh/c-p-i-o/1/base-33-gc7b7b02) 2025-09-07T09:03:39.1047721Z 52eb8108c5bdec04579160ae17225d66034bd723 third_party/googletest (release-1.8.0-3544-g52eb8108) 2025-09-07T09:03:39.1134920Z 719d8e6cd7f7a0e01b155657526d693acf97c2b3 third_party/ideep (pytorch-rls-v3.7.1) 2025-09-07T09:03:39.1204419Z dec1d23ca65ab069d225dfe40dea14f455170959 third_party/ittapi (v3.25.5) 2025-09-07T09:03:39.1451975Z 5e7501833f1021ce6f618572d3baf657b6319658 third_party/kineto (remotes/origin/sraikund/test-98-g5e75018) 2025-09-07T09:03:39.1485203Z cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7 third_party/kleidiai (v1.8.0) 2025-09-07T09:03:39.1514977Z fbd8b99c2b828428947d70fdc046bb55609be93e third_party/mimalloc (v2.2.4) 2025-09-07T09:03:39.1544382Z 55f93686c01528224f448c19128836e7df245f72 third_party/nlohmann (v3.12.0) 2025-09-07T09:03:39.1851547Z e709452ef2bbc1d113faf678c24e6d3467696e83 third_party/onnx (v1.18.0) 2025-09-07T09:03:39.1882771Z a799f4aed9c94b765dcdaabaeab7d5e7e2310878 third_party/opentelemetry-cpp (v1.14.2) 2025-09-07T09:03:39.1915037Z 0fa0ef591e38c2758e3184c6c23e497b9f732ffa third_party/pocketfft (release_for_eigen-40-g0fa0ef5) 2025-09-07T09:03:39.2238563Z d1eca4e4b421cd2997495c4b4e65cea6be4e9b8a third_party/protobuf (v3.7.0-rc.2-1279-gd1eca4e4b) 2025-09-07T09:03:39.2326696Z 072586a71b55b7f8c584153d223e95687148a900 third_party/psimd (heads/master) 2025-09-07T09:03:39.2389409Z 4fe0e1e183925bf8cfa6aae24237e724a96479b8 third_party/pthreadpool (0.1-144-g4fe0e1e) 2025-09-07T09:03:39.2420541Z f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8 third_party/pybind11 (v3.0.1) 2025-09-07T09:03:39.2512922Z f45429b087dd7d5bc78bb40dc7cf06425c252d67 third_party/python-peachpy (remotes/origin/pre-generated) 2025-09-07T09:03:39.2594850Z 5a1d179df9cf652951b59010a2d2075372d67f68 third_party/sleef (3.8) 2025-09-07T09:03:39.2674104Z af0118d13e52f5a08841464a768e01a0bf3e3075 third_party/tensorpipe (heads/main) 2025-09-07T09:03:39.2688738Z ##[group]Cleaning the repository 2025-09-07T09:03:39.2693488Z [command]/usr/bin/git clean -ffdx 2025-09-07T09:03:39.3043809Z [command]/usr/bin/git reset --hard HEAD 2025-09-07T09:03:41.4752381Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T09:03:41.4785965Z ##[endgroup] 2025-09-07T09:03:41.4788640Z ##[group]Disabling automatic garbage collection 2025-09-07T09:03:41.4794692Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T09:03:41.5128898Z ##[endgroup] 2025-09-07T09:03:41.5129236Z ##[group]Setting up auth 2025-09-07T09:03:41.5135975Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T09:03:41.5167234Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T09:03:41.5441290Z Entering 'android/libs/fbjni' 2025-09-07T09:03:41.5498097Z Entering 'third_party/FP16' 2025-09-07T09:03:41.5549773Z Entering 'third_party/FXdiv' 2025-09-07T09:03:41.5598988Z Entering 'third_party/NNPACK' 2025-09-07T09:03:41.5648361Z Entering 'third_party/NVTX' 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Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:03:41.9136794Z Entering 'third_party/psimd' 2025-09-07T09:03:41.9137030Z Entering 'third_party/pthreadpool' 2025-09-07T09:03:41.9137277Z Entering 'third_party/pybind11' 2025-09-07T09:03:41.9137513Z Entering 'third_party/python-peachpy' 2025-09-07T09:03:41.9137749Z Entering 'third_party/sleef' 2025-09-07T09:03:41.9137954Z Entering 'third_party/tensorpipe' 2025-09-07T09:03:41.9182039Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:03:41.9231807Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:03:41.9279787Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:03:41.9327137Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:03:41.9373838Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:03:41.9446402Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T09:03:41.9473173Z http.https://github.com/.extraheader 2025-09-07T09:03:41.9479932Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T09:03:41.9885017Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T09:03:42.0151156Z Entering 'android/libs/fbjni' 2025-09-07T09:03:42.0179471Z http.https://github.com/.extraheader 2025-09-07T09:03:42.1676920Z Entering 'third_party/FP16' 2025-09-07T09:03:42.1704909Z http.https://github.com/.extraheader 2025-09-07T09:03:42.3249200Z Entering 'third_party/FXdiv' 2025-09-07T09:03:42.3278467Z http.https://github.com/.extraheader 2025-09-07T09:03:42.3318217Z Entering 'third_party/NNPACK' 2025-09-07T09:03:42.3345588Z http.https://github.com/.extraheader 2025-09-07T09:03:42.3446300Z Entering 'third_party/NVTX' 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http.https://github.com/.extraheader 2025-09-07T09:03:44.1461058Z Entering 'third_party/kineto' 2025-09-07T09:03:44.1488073Z http.https://github.com/.extraheader 2025-09-07T09:03:44.1888055Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:03:44.1925938Z http.https://github.com/.extraheader 2025-09-07T09:03:44.2321268Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:03:44.2351733Z http.https://github.com/.extraheader 2025-09-07T09:03:44.2619381Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:03:44.2646565Z http.https://github.com/.extraheader 2025-09-07T09:03:44.2982732Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:03:44.3009420Z http.https://github.com/.extraheader 2025-09-07T09:03:44.3397006Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:03:44.3423630Z http.https://github.com/.extraheader 2025-09-07T09:03:44.3748199Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:03:44.3778500Z http.https://github.com/.extraheader 2025-09-07T09:03:44.4211804Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:03:44.4238429Z http.https://github.com/.extraheader 2025-09-07T09:03:44.4558532Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:03:44.4585080Z http.https://github.com/.extraheader 2025-09-07T09:03:44.4966187Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:03:44.4992799Z http.https://github.com/.extraheader 2025-09-07T09:03:44.5456368Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:03:44.5482716Z http.https://github.com/.extraheader 2025-09-07T09:03:44.5891817Z Entering 'third_party/kineto/libkineto/third_party/fmt' 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http.https://github.com/.extraheader 2025-09-07T09:03:44.9521135Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:03:44.9548830Z http.https://github.com/.extraheader 2025-09-07T09:03:44.9935171Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:03:44.9964047Z http.https://github.com/.extraheader 2025-09-07T09:03:45.0413976Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:03:45.0442348Z http.https://github.com/.extraheader 2025-09-07T09:03:45.0859723Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:03:45.0889272Z http.https://github.com/.extraheader 2025-09-07T09:03:45.1336816Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:03:45.1364333Z http.https://github.com/.extraheader 2025-09-07T09:03:45.1814254Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:03:45.1842138Z http.https://github.com/.extraheader 2025-09-07T09:03:45.2239347Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:03:45.2266866Z http.https://github.com/.extraheader 2025-09-07T09:03:45.2709903Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:03:45.2737223Z http.https://github.com/.extraheader 2025-09-07T09:03:45.3184115Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:03:45.3209912Z http.https://github.com/.extraheader 2025-09-07T09:03:45.3610423Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:03:45.3639055Z http.https://github.com/.extraheader 2025-09-07T09:03:45.4108875Z Entering 'third_party/pocketfft' 2025-09-07T09:03:45.4136729Z http.https://github.com/.extraheader 2025-09-07T09:03:45.4564048Z Entering 'third_party/protobuf' 2025-09-07T09:03:45.4591773Z http.https://github.com/.extraheader 2025-09-07T09:03:45.4986308Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:03:45.5013309Z http.https://github.com/.extraheader 2025-09-07T09:03:45.9102715Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:03:45.9132020Z http.https://github.com/.extraheader 2025-09-07T09:03:46.1336226Z Entering 'third_party/psimd' 2025-09-07T09:03:46.1364083Z http.https://github.com/.extraheader 2025-09-07T09:03:46.3431442Z Entering 'third_party/pthreadpool' 2025-09-07T09:03:46.3458954Z http.https://github.com/.extraheader 2025-09-07T09:03:46.5656372Z Entering 'third_party/pybind11' 2025-09-07T09:03:46.5684198Z http.https://github.com/.extraheader 2025-09-07T09:03:46.8052457Z Entering 'third_party/python-peachpy' 2025-09-07T09:03:46.8078920Z http.https://github.com/.extraheader 2025-09-07T09:03:46.9971172Z Entering 'third_party/sleef' 2025-09-07T09:03:46.9998640Z http.https://github.com/.extraheader 2025-09-07T09:03:47.2390809Z Entering 'third_party/tensorpipe' 2025-09-07T09:03:47.2420032Z 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##[group]Fetching the repository 2025-09-07T09:03:48.5231361Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T09:03:49.1363981Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T09:03:49.1394215Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:03:49.1399549Z ##[endgroup] 2025-09-07T09:03:49.1399912Z ##[group]Determining the checkout info 2025-09-07T09:03:49.1401287Z ##[endgroup] 2025-09-07T09:03:49.1404747Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T09:03:49.4026960Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T09:03:49.5334901Z ##[group]Checking out the ref 2025-09-07T09:03:49.5339052Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:03:49.7757499Z HEAD is now at 93fb23d6fae Build vLLM nightly 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'third_party/kineto' 2025-09-07T09:03:55.9117401Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:03:56.2349550Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:03:56.3175262Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:03:56.4199282Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:03:56.5811421Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:03:56.6777947Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:03:56.8374044Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:03:56.9396107Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:03:57.0355723Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:03:57.1253028Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:03:57.2326317Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:03:57.3232354Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:03:57.4192061Z Synchronizing submodule url for 'third_party/kleidiai' 2025-09-07T09:03:57.4948881Z Synchronizing submodule url for 'third_party/mimalloc' 2025-09-07T09:03:57.8441933Z Synchronizing submodule url for 'third_party/nlohmann' 2025-09-07T09:03:58.0174905Z Synchronizing submodule url for 'third_party/onnx' 2025-09-07T09:03:58.2635021Z Synchronizing submodule url for 'third_party/onnx/third_party/pybind11' 2025-09-07T09:03:58.3754566Z Synchronizing submodule url for 'third_party/opentelemetry-cpp' 2025-09-07T09:03:58.5546558Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:03:58.6538294Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:03:58.8912955Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:03:58.8938566Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:03:59.1489714Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:03:59.1512145Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:03:59.4103403Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:03:59.4786639Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:03:59.5300995Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:03:59.8628786Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:03:59.8677148Z Synchronizing submodule url for 'third_party/pocketfft' 2025-09-07T09:03:59.9254188Z Synchronizing submodule url for 'third_party/protobuf' 2025-09-07T09:04:00.1838912Z Synchronizing submodule url for 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:04:00.1879512Z Synchronizing submodule url for 'third_party/protobuf/third_party/googletest' 2025-09-07T09:04:00.2439025Z Synchronizing submodule url for 'third_party/psimd' 2025-09-07T09:04:00.5078442Z Synchronizing submodule url for 'third_party/pthreadpool' 2025-09-07T09:04:00.5107411Z Synchronizing submodule url for 'third_party/pybind11' 2025-09-07T09:04:00.7630746Z Synchronizing submodule url for 'third_party/python-peachpy' 2025-09-07T09:04:00.7655405Z Synchronizing submodule url for 'third_party/sleef' 2025-09-07T09:04:00.8953690Z Synchronizing submodule url for 'third_party/tensorpipe' 2025-09-07T09:04:01.1500432Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:04:01.1547544Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:04:01.5377482Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:04:01.5406240Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:04:01.7928561Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:04:01.7979570Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T09:04:02.1014672Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T09:04:02.1142297Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T09:04:02.1243183Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T09:04:02.1471211Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T09:04:02.2289716Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T09:04:02.4442646Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T09:04:03.6433117Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T09:04:04.0897674Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T09:04:04.7746946Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T09:04:04.7953466Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T09:04:04.8387207Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T09:04:04.8945978Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T09:04:05.0149292Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T09:04:05.5211469Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T09:04:05.8844251Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T09:04:06.2471882Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T09:04:06.7058336Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T09:04:07.7252087Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T09:04:08.3315010Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T09:04:09.1887408Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T09:04:09.6453180Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T09:04:09.6791720Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T09:04:10.2130823Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T09:04:10.4212137Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T09:04:11.1279551Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T09:04:11.9938687Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T09:04:13.2019698Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T09:04:13.6082423Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T09:04:13.9714291Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T09:04:14.4630044Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T09:04:14.9795326Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T09:04:15.1797424Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T09:04:16.5116444Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T09:04:16.9977391Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T09:04:17.6461581Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T09:04:18.4750822Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T09:04:18.8117527Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T09:04:19.3275567Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T09:04:19.4711676Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T09:04:20.0727608Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T09:04:20.3745845Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T09:04:20.9686129Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T09:04:21.0647233Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T09:04:21.4549077Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T09:04:21.7743764Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T09:04:22.7344457Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T09:04:23.3818337Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T09:04:23.6302728Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T09:04:24.2218866Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T09:04:24.5457192Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T09:04:25.1168673Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T09:04:25.5589200Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T09:04:25.9485705Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T09:04:26.3244245Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T09:04:27.0473892Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T09:04:27.1385819Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T09:04:27.7899223Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T09:04:28.5394408Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T09:04:28.9112797Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T09:04:29.2832520Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T09:04:30.4290703Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T09:04:30.6810029Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T09:04:32.1124695Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T09:04:32.4180708Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T09:04:33.4496446Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-09-07T09:04:33.7730678Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-09-07T09:04:34.1652554Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-09-07T09:04:34.3894867Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-09-07T09:04:35.0039000Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-09-07T09:04:35.5555292Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8' 2025-09-07T09:04:36.2625503Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-09-07T09:04:36.8433346Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-09-07T09:04:37.2305623Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075' 2025-09-07T09:04:37.4721939Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-09-07T09:04:37.8793900Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-09-07T09:04:38.4596804Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-09-07T09:04:39.1540505Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' 2025-09-07T09:04:39.4773633Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' 2025-09-07T09:04:39.4823884Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-09-07T09:04:39.5093740Z Entering 'android/libs/fbjni' 2025-09-07T09:04:39.7333841Z Entering 'third_party/FP16' 2025-09-07T09:04:39.9927530Z Entering 'third_party/FXdiv' 2025-09-07T09:04:40.0567775Z Entering 'third_party/NNPACK' 2025-09-07T09:04:40.0610785Z Entering 'third_party/NVTX' 2025-09-07T09:04:40.4438099Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:04:40.6392662Z Entering 'third_party/XNNPACK' 2025-09-07T09:04:40.6452343Z Entering 'third_party/aiter' 2025-09-07T09:04:40.6495463Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:04:40.7081451Z Entering 'third_party/benchmark' 2025-09-07T09:04:40.8336215Z Entering 'third_party/composable_kernel' 2025-09-07T09:04:40.8387943Z Entering 'third_party/cpp-httplib' 2025-09-07T09:04:41.0129386Z Entering 'third_party/cpuinfo' 2025-09-07T09:04:41.4639170Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:04:41.7186690Z Entering 'third_party/cutlass' 2025-09-07T09:04:41.7241314Z Entering 'third_party/fbgemm' 2025-09-07T09:04:41.8136079Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:04:41.9835364Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:04:42.3286994Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:04:42.4206937Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:04:42.6019857Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:04:42.8120856Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:04:42.9892876Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:04:42.9947996Z Entering 'third_party/flash-attention' 2025-09-07T09:04:43.2277536Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:04:43.4086674Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:04:43.5157383Z Entering 'third_party/flatbuffers' 2025-09-07T09:04:43.6214516Z Entering 'third_party/fmt' 2025-09-07T09:04:43.6528848Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:04:43.6570113Z Entering 'third_party/gloo' 2025-09-07T09:04:43.6611401Z Entering 'third_party/googletest' 2025-09-07T09:04:43.6663830Z Entering 'third_party/ideep' 2025-09-07T09:04:43.6722929Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:04:43.6936381Z Entering 'third_party/ittapi' 2025-09-07T09:04:43.6997094Z Entering 'third_party/kineto' 2025-09-07T09:04:43.7043651Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:04:43.7083400Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:04:43.7137859Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:04:43.7177854Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:04:43.7228332Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:04:43.7281130Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:04:43.7329252Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:04:43.7372287Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:04:43.7740193Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:04:43.7838725Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:04:43.8120783Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:04:43.8258270Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:04:43.8328713Z Entering 'third_party/kleidiai' 2025-09-07T09:04:43.8386219Z Entering 'third_party/mimalloc' 2025-09-07T09:04:43.8470153Z Entering 'third_party/nlohmann' 2025-09-07T09:04:43.8561086Z Entering 'third_party/onnx' 2025-09-07T09:04:43.8661422Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:04:43.8714370Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:04:43.8759151Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:04:43.8832937Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:04:43.8874725Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:04:43.8916044Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:04:43.9064874Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:04:43.9156931Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:04:43.9635175Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:04:43.9950082Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:04:44.1374787Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:04:44.3285235Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:04:44.5302528Z Entering 'third_party/pocketfft' 2025-09-07T09:04:44.7893789Z Entering 'third_party/protobuf' 2025-09-07T09:04:44.9626664Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:04:45.1611697Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:04:45.3590628Z Entering 'third_party/psimd' 2025-09-07T09:04:45.5231487Z Entering 'third_party/pthreadpool' 2025-09-07T09:04:45.8696704Z Entering 'third_party/pybind11' 2025-09-07T09:04:45.9349485Z Entering 'third_party/python-peachpy' 2025-09-07T09:04:46.0188259Z Entering 'third_party/sleef' 2025-09-07T09:04:46.1149179Z Entering 'third_party/tensorpipe' 2025-09-07T09:04:46.2102191Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:04:46.2145796Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:04:46.2186806Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:04:46.2228085Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:04:46.3811375Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:04:46.3885282Z ##[endgroup] 2025-09-07T09:04:46.3885655Z ##[group]Persisting credentials for submodules 2025-09-07T09:04:46.3892760Z [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' || :" 2025-09-07T09:04:46.4150497Z Entering 'android/libs/fbjni' 2025-09-07T09:04:46.4176722Z url.https://github.com/.insteadof 2025-09-07T09:04:46.4177034Z url.https://github.com/.insteadof 2025-09-07T09:04:46.7075894Z Entering 'third_party/FP16' 2025-09-07T09:04:46.7107159Z url.https://github.com/.insteadof 2025-09-07T09:04:46.7107493Z url.https://github.com/.insteadof 2025-09-07T09:04:46.9478071Z Entering 'third_party/FXdiv' 2025-09-07T09:04:46.9508247Z url.https://github.com/.insteadof 2025-09-07T09:04:46.9508647Z url.https://github.com/.insteadof 2025-09-07T09:04:47.1824141Z Entering 'third_party/NNPACK' 2025-09-07T09:04:47.1853542Z url.https://github.com/.insteadof 2025-09-07T09:04:47.1853877Z url.https://github.com/.insteadof 2025-09-07T09:04:47.3552179Z Entering 'third_party/NVTX' 2025-09-07T09:04:47.3584765Z url.https://github.com/.insteadof 2025-09-07T09:04:47.3585036Z url.https://github.com/.insteadof 2025-09-07T09:04:47.5754297Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:04:47.5782869Z url.https://github.com/.insteadof 2025-09-07T09:04:47.5783312Z url.https://github.com/.insteadof 2025-09-07T09:04:47.6228932Z Entering 'third_party/XNNPACK' 2025-09-07T09:04:47.6256541Z url.https://github.com/.insteadof 2025-09-07T09:04:47.6256864Z url.https://github.com/.insteadof 2025-09-07T09:04:47.6702180Z Entering 'third_party/aiter' 2025-09-07T09:04:47.6729546Z url.https://github.com/.insteadof 2025-09-07T09:04:47.6729896Z url.https://github.com/.insteadof 2025-09-07T09:04:47.7290130Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:04:47.7318998Z url.https://github.com/.insteadof 2025-09-07T09:04:47.7319332Z url.https://github.com/.insteadof 2025-09-07T09:04:47.7848275Z Entering 'third_party/benchmark' 2025-09-07T09:04:47.7877588Z url.https://github.com/.insteadof 2025-09-07T09:04:47.7877883Z url.https://github.com/.insteadof 2025-09-07T09:04:47.9789436Z Entering 'third_party/composable_kernel' 2025-09-07T09:04:47.9819420Z url.https://github.com/.insteadof 2025-09-07T09:04:47.9819724Z url.https://github.com/.insteadof 2025-09-07T09:04:48.0381971Z Entering 'third_party/cpp-httplib' 2025-09-07T09:04:48.0409943Z url.https://github.com/.insteadof 2025-09-07T09:04:48.0410463Z url.https://github.com/.insteadof 2025-09-07T09:04:48.2757960Z Entering 'third_party/cpuinfo' 2025-09-07T09:04:48.2787299Z url.https://github.com/.insteadof 2025-09-07T09:04:48.2787653Z url.https://github.com/.insteadof 2025-09-07T09:04:48.5158099Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:04:48.5186512Z url.https://github.com/.insteadof 2025-09-07T09:04:48.5186832Z url.https://github.com/.insteadof 2025-09-07T09:04:48.7478685Z Entering 'third_party/cutlass' 2025-09-07T09:04:48.7508585Z url.https://github.com/.insteadof 2025-09-07T09:04:48.7508908Z url.https://github.com/.insteadof 2025-09-07T09:04:48.8046829Z Entering 'third_party/fbgemm' 2025-09-07T09:04:48.8077109Z url.https://github.com/.insteadof 2025-09-07T09:04:48.8077410Z url.https://github.com/.insteadof 2025-09-07T09:04:48.9495587Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:04:48.9524880Z url.https://github.com/.insteadof 2025-09-07T09:04:48.9525177Z url.https://github.com/.insteadof 2025-09-07T09:04:49.0318296Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:04:49.0349229Z url.https://github.com/.insteadof 2025-09-07T09:04:49.0349552Z url.https://github.com/.insteadof 2025-09-07T09:04:49.2760399Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:04:49.2792541Z url.https://github.com/.insteadof 2025-09-07T09:04:49.2792858Z url.https://github.com/.insteadof 2025-09-07T09:04:49.5177369Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:04:49.5205347Z url.https://github.com/.insteadof 2025-09-07T09:04:49.5205663Z url.https://github.com/.insteadof 2025-09-07T09:04:49.5693833Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:04:49.5719612Z url.https://github.com/.insteadof 2025-09-07T09:04:49.5719901Z url.https://github.com/.insteadof 2025-09-07T09:04:49.6146569Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:04:49.6172601Z url.https://github.com/.insteadof 2025-09-07T09:04:49.6172902Z url.https://github.com/.insteadof 2025-09-07T09:04:49.6624093Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:04:49.6649761Z url.https://github.com/.insteadof 2025-09-07T09:04:49.6653188Z url.https://github.com/.insteadof 2025-09-07T09:04:49.7107320Z Entering 'third_party/flash-attention' 2025-09-07T09:04:49.7141173Z url.https://github.com/.insteadof 2025-09-07T09:04:49.7141536Z url.https://github.com/.insteadof 2025-09-07T09:04:49.7523548Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:04:49.7551831Z url.https://github.com/.insteadof 2025-09-07T09:04:49.7552143Z url.https://github.com/.insteadof 2025-09-07T09:04:49.8007273Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:04:49.8037134Z url.https://github.com/.insteadof 2025-09-07T09:04:49.8037434Z url.https://github.com/.insteadof 2025-09-07T09:04:49.8500828Z Entering 'third_party/flatbuffers' 2025-09-07T09:04:49.8529557Z url.https://github.com/.insteadof 2025-09-07T09:04:49.8529851Z url.https://github.com/.insteadof 2025-09-07T09:04:49.9116164Z Entering 'third_party/fmt' 2025-09-07T09:04:49.9145721Z url.https://github.com/.insteadof 2025-09-07T09:04:49.9146007Z url.https://github.com/.insteadof 2025-09-07T09:04:49.9594271Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:04:49.9622571Z url.https://github.com/.insteadof 2025-09-07T09:04:49.9622882Z url.https://github.com/.insteadof 2025-09-07T09:04:50.0071986Z Entering 'third_party/gloo' 2025-09-07T09:04:50.0100995Z url.https://github.com/.insteadof 2025-09-07T09:04:50.0101465Z url.https://github.com/.insteadof 2025-09-07T09:04:50.0554979Z Entering 'third_party/googletest' 2025-09-07T09:04:50.0583478Z url.https://github.com/.insteadof 2025-09-07T09:04:50.0583771Z url.https://github.com/.insteadof 2025-09-07T09:04:50.1036214Z Entering 'third_party/ideep' 2025-09-07T09:04:50.1064878Z url.https://github.com/.insteadof 2025-09-07T09:04:50.1065168Z url.https://github.com/.insteadof 2025-09-07T09:04:50.1456446Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:04:50.1483653Z url.https://github.com/.insteadof 2025-09-07T09:04:50.1483955Z url.https://github.com/.insteadof 2025-09-07T09:04:50.2067183Z Entering 'third_party/ittapi' 2025-09-07T09:04:50.2095990Z url.https://github.com/.insteadof 2025-09-07T09:04:50.2096580Z url.https://github.com/.insteadof 2025-09-07T09:04:50.2565633Z Entering 'third_party/kineto' 2025-09-07T09:04:50.2594459Z url.https://github.com/.insteadof 2025-09-07T09:04:50.2594773Z url.https://github.com/.insteadof 2025-09-07T09:04:50.3017734Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:04:50.3045764Z url.https://github.com/.insteadof 2025-09-07T09:04:50.3046064Z url.https://github.com/.insteadof 2025-09-07T09:04:50.3611929Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:04:50.3638897Z url.https://github.com/.insteadof 2025-09-07T09:04:50.3639203Z url.https://github.com/.insteadof 2025-09-07T09:04:50.4274317Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:04:50.4301528Z url.https://github.com/.insteadof 2025-09-07T09:04:50.4301844Z url.https://github.com/.insteadof 2025-09-07T09:04:50.4823149Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:04:50.4852980Z url.https://github.com/.insteadof 2025-09-07T09:04:50.4853359Z url.https://github.com/.insteadof 2025-09-07T09:04:50.5295574Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:04:50.5324233Z url.https://github.com/.insteadof 2025-09-07T09:04:50.5324534Z url.https://github.com/.insteadof 2025-09-07T09:04:50.5837227Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:04:50.5864973Z url.https://github.com/.insteadof 2025-09-07T09:04:50.5865257Z url.https://github.com/.insteadof 2025-09-07T09:04:50.6323378Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:04:50.6350038Z url.https://github.com/.insteadof 2025-09-07T09:04:50.6350708Z url.https://github.com/.insteadof 2025-09-07T09:04:50.6801999Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:04:50.6829295Z url.https://github.com/.insteadof 2025-09-07T09:04:50.6829559Z url.https://github.com/.insteadof 2025-09-07T09:04:50.7307607Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:04:50.7334128Z url.https://github.com/.insteadof 2025-09-07T09:04:50.7334397Z url.https://github.com/.insteadof 2025-09-07T09:04:50.7785732Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:04:50.7812152Z url.https://github.com/.insteadof 2025-09-07T09:04:50.7812418Z url.https://github.com/.insteadof 2025-09-07T09:04:50.8182652Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:04:50.8213182Z url.https://github.com/.insteadof 2025-09-07T09:04:50.8213772Z url.https://github.com/.insteadof 2025-09-07T09:04:50.8657441Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:04:50.8686420Z url.https://github.com/.insteadof 2025-09-07T09:04:50.8686709Z url.https://github.com/.insteadof 2025-09-07T09:04:51.1016560Z Entering 'third_party/kleidiai' 2025-09-07T09:04:51.1045940Z url.https://github.com/.insteadof 2025-09-07T09:04:51.1046291Z url.https://github.com/.insteadof 2025-09-07T09:04:51.3418497Z Entering 'third_party/mimalloc' 2025-09-07T09:04:51.3446969Z url.https://github.com/.insteadof 2025-09-07T09:04:51.3447291Z url.https://github.com/.insteadof 2025-09-07T09:04:51.5720802Z Entering 'third_party/nlohmann' 2025-09-07T09:04:51.5749026Z url.https://github.com/.insteadof 2025-09-07T09:04:51.5749494Z url.https://github.com/.insteadof 2025-09-07T09:04:51.6201123Z Entering 'third_party/onnx' 2025-09-07T09:04:51.6229230Z url.https://github.com/.insteadof 2025-09-07T09:04:51.6229644Z url.https://github.com/.insteadof 2025-09-07T09:04:51.6720767Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:04:51.6752561Z url.https://github.com/.insteadof 2025-09-07T09:04:51.6752952Z url.https://github.com/.insteadof 2025-09-07T09:04:51.7169833Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:04:51.7198556Z url.https://github.com/.insteadof 2025-09-07T09:04:51.7198877Z url.https://github.com/.insteadof 2025-09-07T09:04:51.7661779Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:04:51.7689915Z url.https://github.com/.insteadof 2025-09-07T09:04:51.7690441Z url.https://github.com/.insteadof 2025-09-07T09:04:51.8145696Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:04:51.8174802Z url.https://github.com/.insteadof 2025-09-07T09:04:51.8175226Z url.https://github.com/.insteadof 2025-09-07T09:04:51.8620753Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:04:51.8649970Z url.https://github.com/.insteadof 2025-09-07T09:04:51.8650506Z url.https://github.com/.insteadof 2025-09-07T09:04:51.9101929Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:04:51.9132435Z url.https://github.com/.insteadof 2025-09-07T09:04:51.9132840Z url.https://github.com/.insteadof 2025-09-07T09:04:51.9615396Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:04:51.9642981Z url.https://github.com/.insteadof 2025-09-07T09:04:51.9643356Z url.https://github.com/.insteadof 2025-09-07T09:04:52.0094722Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:04:52.0123345Z url.https://github.com/.insteadof 2025-09-07T09:04:52.0123751Z url.https://github.com/.insteadof 2025-09-07T09:04:52.0576306Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:04:52.0603656Z url.https://github.com/.insteadof 2025-09-07T09:04:52.0604058Z url.https://github.com/.insteadof 2025-09-07T09:04:52.2898869Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:04:52.2927717Z url.https://github.com/.insteadof 2025-09-07T09:04:52.2928131Z url.https://github.com/.insteadof 2025-09-07T09:04:52.5275959Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:04:52.5302724Z url.https://github.com/.insteadof 2025-09-07T09:04:52.5303172Z url.https://github.com/.insteadof 2025-09-07T09:04:52.5755743Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:04:52.5783999Z url.https://github.com/.insteadof 2025-09-07T09:04:52.5784403Z url.https://github.com/.insteadof 2025-09-07T09:04:52.6196875Z Entering 'third_party/pocketfft' 2025-09-07T09:04:52.6225791Z url.https://github.com/.insteadof 2025-09-07T09:04:52.6226150Z url.https://github.com/.insteadof 2025-09-07T09:04:52.6652145Z Entering 'third_party/protobuf' 2025-09-07T09:04:52.6680165Z url.https://github.com/.insteadof 2025-09-07T09:04:52.6680696Z url.https://github.com/.insteadof 2025-09-07T09:04:52.7022226Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:04:52.7051485Z url.https://github.com/.insteadof 2025-09-07T09:04:52.7051912Z url.https://github.com/.insteadof 2025-09-07T09:04:52.7296238Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:04:52.7324659Z url.https://github.com/.insteadof 2025-09-07T09:04:52.7325058Z url.https://github.com/.insteadof 2025-09-07T09:04:52.7404326Z Entering 'third_party/psimd' 2025-09-07T09:04:52.7432719Z url.https://github.com/.insteadof 2025-09-07T09:04:52.7433105Z url.https://github.com/.insteadof 2025-09-07T09:04:52.7612521Z Entering 'third_party/pthreadpool' 2025-09-07T09:04:52.7640349Z url.https://github.com/.insteadof 2025-09-07T09:04:52.7640731Z url.https://github.com/.insteadof 2025-09-07T09:04:52.8045277Z Entering 'third_party/pybind11' 2025-09-07T09:04:52.8073286Z url.https://github.com/.insteadof 2025-09-07T09:04:52.8073660Z url.https://github.com/.insteadof 2025-09-07T09:04:52.8188145Z Entering 'third_party/python-peachpy' 2025-09-07T09:04:52.8216168Z url.https://github.com/.insteadof 2025-09-07T09:04:52.8216549Z url.https://github.com/.insteadof 2025-09-07T09:04:52.9069283Z Entering 'third_party/sleef' 2025-09-07T09:04:52.9097028Z url.https://github.com/.insteadof 2025-09-07T09:04:52.9097407Z url.https://github.com/.insteadof 2025-09-07T09:04:53.1372571Z Entering 'third_party/tensorpipe' 2025-09-07T09:04:53.1401809Z url.https://github.com/.insteadof 2025-09-07T09:04:53.1402749Z url.https://github.com/.insteadof 2025-09-07T09:04:53.1837817Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:04:53.1865620Z url.https://github.com/.insteadof 2025-09-07T09:04:53.1866006Z url.https://github.com/.insteadof 2025-09-07T09:04:53.2369732Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:04:53.2396243Z url.https://github.com/.insteadof 2025-09-07T09:04:53.2396631Z url.https://github.com/.insteadof 2025-09-07T09:04:53.4499103Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:04:53.4524859Z url.https://github.com/.insteadof 2025-09-07T09:04:53.4525277Z url.https://github.com/.insteadof 2025-09-07T09:04:53.6676659Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:04:53.6702203Z url.https://github.com/.insteadof 2025-09-07T09:04:53.6702615Z url.https://github.com/.insteadof 2025-09-07T09:04:54.1967226Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:04:54.1994768Z url.https://github.com/.insteadof 2025-09-07T09:04:54.1995124Z url.https://github.com/.insteadof 2025-09-07T09:04:54.2827155Z [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" 2025-09-07T09:04:54.3108680Z Entering 'android/libs/fbjni' 2025-09-07T09:04:54.5184404Z file:/home/eve/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T09:04:54.5205495Z Entering 'third_party/FP16' 2025-09-07T09:04:54.7570913Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T09:04:54.7591842Z Entering 'third_party/FXdiv' 2025-09-07T09:04:54.9242016Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T09:04:54.9262613Z Entering 'third_party/NNPACK' 2025-09-07T09:04:55.1621623Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-09-07T09:04:55.1643154Z Entering 'third_party/NVTX' 2025-09-07T09:04:55.3989242Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-09-07T09:04:55.4010347Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:04:55.5574033Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-09-07T09:04:55.5594316Z Entering 'third_party/XNNPACK' 2025-09-07T09:04:55.6626480Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-09-07T09:04:55.6662762Z Entering 'third_party/aiter' 2025-09-07T09:04:56.0486025Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-09-07T09:04:56.0507078Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:04:56.2355208Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-09-07T09:04:56.2386364Z Entering 'third_party/benchmark' 2025-09-07T09:04:56.5378797Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-09-07T09:04:56.5400998Z Entering 'third_party/composable_kernel' 2025-09-07T09:04:56.8284099Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-09-07T09:04:56.8312645Z Entering 'third_party/cpp-httplib' 2025-09-07T09:04:57.1355279Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2025-09-07T09:04:57.1375700Z Entering 'third_party/cpuinfo' 2025-09-07T09:04:57.3483814Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-09-07T09:04:57.3505025Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:04:57.3974557Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-09-07T09:04:57.3995053Z Entering 'third_party/cutlass' 2025-09-07T09:04:57.8304186Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-09-07T09:04:57.8332857Z Entering 'third_party/fbgemm' 2025-09-07T09:04:58.0616468Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-09-07T09:04:58.0640867Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:04:58.3408492Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-09-07T09:04:58.3428824Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:04:58.4877400Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-09-07T09:04:58.4904245Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:04:58.6723037Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-09-07T09:04:58.6743456Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:04:58.7275050Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-09-07T09:04:58.7303586Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:04:58.7637707Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-09-07T09:04:58.7657934Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:04:58.8353634Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-09-07T09:04:58.8373605Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:04:59.0281252Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-09-07T09:04:59.0305742Z Entering 'third_party/flash-attention' 2025-09-07T09:04:59.0931014Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-09-07T09:04:59.0951221Z Entering 'third_party/flash-attention/csrc/composable_kernel' 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Entering 'third_party/gloo' 2025-09-07T09:04:59.4659600Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-09-07T09:04:59.4691044Z Entering 'third_party/googletest' 2025-09-07T09:04:59.5051602Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:04:59.5082162Z Entering 'third_party/ideep' 2025-09-07T09:04:59.6726921Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-09-07T09:04:59.6748911Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:04:59.6791373Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-09-07T09:04:59.6817709Z Entering 'third_party/ittapi' 2025-09-07T09:04:59.7263521Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T09:04:59.7283935Z Entering 'third_party/kineto' 2025-09-07T09:04:59.8074234Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-09-07T09:04:59.8092446Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:05:00.0274107Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-09-07T09:05:00.0291038Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:05:00.0748502Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-09-07T09:05:00.0769395Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:05:00.1233035Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T09:05:00.1251892Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:05:00.1713827Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-09-07T09:05:00.1735607Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:05:00.2170866Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-09-07T09:05:00.2191557Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:05:00.2237398Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2025-09-07T09:05:00.2258595Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:05:00.3909654Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T09:05:00.3930509Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:05:00.4420726Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:05:00.4444925Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:05:00.4487957Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2025-09-07T09:05:00.4510312Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:05:00.6181678Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2025-09-07T09:05:00.6209660Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:05:00.6793507Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2025-09-07T09:05:00.6812896Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:05:00.7256788Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T09:05:00.7281987Z Entering 'third_party/kleidiai' 2025-09-07T09:05:00.9454022Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-09-07T09:05:00.9478205Z Entering 'third_party/mimalloc' 2025-09-07T09:05:01.1841103Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T09:05:01.1865374Z Entering 'third_party/nlohmann' 2025-09-07T09:05:01.4093370Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T09:05:01.4121137Z Entering 'third_party/onnx' 2025-09-07T09:05:01.4514686Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T09:05:01.4552677Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:05:01.4992632Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T09:05:01.5024748Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:05:01.5505331Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T09:05:01.5527237Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:05:01.5935861Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T09:05:01.5958660Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:05:01.7584182Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:05:01.7609605Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:05:01.8052684Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T09:05:01.8074901Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:05:01.8563721Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T09:05:01.8589540Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:05:01.8999881Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T09:05:01.9019897Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:05:01.9384640Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2025-09-07T09:05:01.9406615Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:05:01.9838693Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2025-09-07T09:05:01.9858283Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:05:02.0256213Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2025-09-07T09:05:02.0286106Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:05:02.0736810Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-09-07T09:05:02.0763388Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:05:02.1296515Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T09:05:02.1339983Z Entering 'third_party/pocketfft' 2025-09-07T09:05:02.1713717Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T09:05:02.1739143Z Entering 'third_party/protobuf' 2025-09-07T09:05:02.2635261Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T09:05:02.2665358Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:05:02.3703327Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-09-07T09:05:02.3726478Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:05:02.4184208Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:05:02.4214249Z Entering 'third_party/psimd' 2025-09-07T09:05:02.4817322Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2025-09-07T09:05:02.4840078Z Entering 'third_party/pthreadpool' 2025-09-07T09:05:02.5242810Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2025-09-07T09:05:02.5269049Z Entering 'third_party/pybind11' 2025-09-07T09:05:02.7143547Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2025-09-07T09:05:02.7169740Z Entering 'third_party/python-peachpy' 2025-09-07T09:05:02.7644407Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2025-09-07T09:05:02.7666361Z Entering 'third_party/sleef' 2025-09-07T09:05:02.8221350Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2025-09-07T09:05:02.8244154Z Entering 'third_party/tensorpipe' 2025-09-07T09:05:02.8634725Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2025-09-07T09:05:02.8655326Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:05:02.9116685Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:05:02.9137243Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:05:02.9596162Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-09-07T09:05:02.9616139Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:05:03.0106490Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-09-07T09:05:03.0127392Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:05:03.0602102Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-09-07T09:05:03.0623383Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:05:03.1048259Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-09-07T09:05:04.6898121Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T09:05:04.7202300Z Entering 'android/libs/fbjni' 2025-09-07T09:05:04.7389078Z Entering 'third_party/FP16' 2025-09-07T09:05:04.7945365Z Entering 'third_party/FXdiv' 2025-09-07T09:05:04.8759796Z Entering 'third_party/NNPACK' 2025-09-07T09:05:04.9305904Z Entering 'third_party/NVTX' 2025-09-07T09:05:04.9701666Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:05:05.0224925Z Entering 'third_party/XNNPACK' 2025-09-07T09:05:05.0684101Z Entering 'third_party/aiter' 2025-09-07T09:05:05.1016495Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:05:05.1492883Z Entering 'third_party/benchmark' 2025-09-07T09:05:05.1906697Z Entering 'third_party/composable_kernel' 2025-09-07T09:05:05.2285256Z Entering 'third_party/cpp-httplib' 2025-09-07T09:05:05.2711128Z Entering 'third_party/cpuinfo' 2025-09-07T09:05:05.3180677Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:05:05.3642934Z Entering 'third_party/cutlass' 2025-09-07T09:05:05.4066471Z Entering 'third_party/fbgemm' 2025-09-07T09:05:05.4441128Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:05:05.4901636Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:05:05.5354082Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:05:05.5743452Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:05:05.6209467Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:05:05.6275578Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:05:05.6668841Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:05:05.7114830Z Entering 'third_party/flash-attention' 2025-09-07T09:05:05.7573691Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:05:05.7970443Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:05:05.8448919Z Entering 'third_party/flatbuffers' 2025-09-07T09:05:05.8624137Z Entering 'third_party/fmt' 2025-09-07T09:05:05.8987263Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:05:05.9449773Z Entering 'third_party/gloo' 2025-09-07T09:05:05.9842849Z Entering 'third_party/googletest' 2025-09-07T09:05:06.0066034Z Entering 'third_party/ideep' 2025-09-07T09:05:06.0550939Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:05:06.0970198Z Entering 'third_party/ittapi' 2025-09-07T09:05:06.1367962Z Entering 'third_party/kineto' 2025-09-07T09:05:06.1783184Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:05:06.2185915Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:05:06.2606210Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:05:06.3098989Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:05:06.3470548Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:05:06.3729197Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:05:06.4195771Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:05:06.4563078Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:05:06.5015812Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:05:06.5115105Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:05:06.5554655Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:05:06.6007598Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:05:06.6105537Z Entering 'third_party/kleidiai' 2025-09-07T09:05:06.6177609Z Entering 'third_party/mimalloc' 2025-09-07T09:05:06.6641923Z Entering 'third_party/nlohmann' 2025-09-07T09:05:06.7000996Z Entering 'third_party/onnx' 2025-09-07T09:05:06.7221720Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:05:06.7645129Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:05:06.8047690Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:05:06.8494205Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:05:06.8970109Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:05:06.9245727Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:05:06.9749889Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:05:07.0150085Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:05:07.0613629Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:05:07.1027951Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:05:07.1328839Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:05:07.1701880Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:05:07.2202915Z Entering 'third_party/pocketfft' 2025-09-07T09:05:07.2301001Z Entering 'third_party/protobuf' 2025-09-07T09:05:07.2379562Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:05:07.2816352Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:05:07.3280477Z Entering 'third_party/psimd' 2025-09-07T09:05:07.3644475Z Entering 'third_party/pthreadpool' 2025-09-07T09:05:07.4041621Z Entering 'third_party/pybind11' 2025-09-07T09:05:07.4316061Z Entering 'third_party/python-peachpy' 2025-09-07T09:05:07.4608447Z Entering 'third_party/sleef' 2025-09-07T09:05:07.5041427Z Entering 'third_party/tensorpipe' 2025-09-07T09:05:07.8325441Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:05:07.8819814Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:05:07.9317533Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:05:07.9842686Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:05:08.0397317Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:05:08.0916437Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-07T09:05:08.1188866Z Entering 'android/libs/fbjni' 2025-09-07T09:05:08.1355970Z Entering 'third_party/FP16' 2025-09-07T09:05:08.1833875Z Entering 'third_party/FXdiv' 2025-09-07T09:05:08.2266390Z Entering 'third_party/NNPACK' 2025-09-07T09:05:08.2710664Z Entering 'third_party/NVTX' 2025-09-07T09:05:08.3179711Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:05:08.3517497Z Entering 'third_party/XNNPACK' 2025-09-07T09:05:08.4005262Z Entering 'third_party/aiter' 2025-09-07T09:05:08.4357806Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:05:08.4796947Z Entering 'third_party/benchmark' 2025-09-07T09:05:08.5224551Z Entering 'third_party/composable_kernel' 2025-09-07T09:05:08.5592714Z Entering 'third_party/cpp-httplib' 2025-09-07T09:05:08.6063067Z Entering 'third_party/cpuinfo' 2025-09-07T09:05:08.6496330Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:05:08.6866963Z Entering 'third_party/cutlass' 2025-09-07T09:05:08.6961034Z Entering 'third_party/fbgemm' 2025-09-07T09:05:08.7286636Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:05:08.7718773Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:05:08.7792534Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:05:08.8246070Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:05:08.8917382Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:05:08.9335856Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:05:08.9746684Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:05:09.0002881Z Entering 'third_party/flash-attention' 2025-09-07T09:05:09.0211259Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:05:09.0561243Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:05:09.0697911Z Entering 'third_party/flatbuffers' 2025-09-07T09:05:09.0748411Z Entering 'third_party/fmt' 2025-09-07T09:05:09.1036370Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:05:09.1443893Z Entering 'third_party/gloo' 2025-09-07T09:05:09.1790881Z Entering 'third_party/googletest' 2025-09-07T09:05:09.1871020Z Entering 'third_party/ideep' 2025-09-07T09:05:09.2090726Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:05:09.2139406Z Entering 'third_party/ittapi' 2025-09-07T09:05:09.2539688Z Entering 'third_party/kineto' 2025-09-07T09:05:09.2913854Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:05:09.3218961Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:05:09.3291282Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:05:09.3668775Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:05:09.4042597Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:05:09.4383584Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:05:09.4771974Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:05:09.5201729Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:05:09.5362569Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:05:09.5650812Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:05:09.6013641Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:05:09.6474057Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:05:09.6728019Z Entering 'third_party/kleidiai' 2025-09-07T09:05:09.7201150Z Entering 'third_party/mimalloc' 2025-09-07T09:05:09.7627017Z Entering 'third_party/nlohmann' 2025-09-07T09:05:09.7710195Z Entering 'third_party/onnx' 2025-09-07T09:05:09.7840571Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:05:09.8290463Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:05:09.8642230Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:05:09.9048000Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:05:09.9367099Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:05:09.9732332Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:05:10.0164095Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:05:10.0579355Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:05:10.0936314Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:05:10.1134073Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:05:10.1612774Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:05:10.1718133Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:05:10.1826983Z Entering 'third_party/pocketfft' 2025-09-07T09:05:10.2237457Z Entering 'third_party/protobuf' 2025-09-07T09:05:10.2642546Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:05:10.2901017Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:05:10.3366345Z Entering 'third_party/psimd' 2025-09-07T09:05:10.3657781Z Entering 'third_party/pthreadpool' 2025-09-07T09:05:10.4210991Z Entering 'third_party/pybind11' 2025-09-07T09:05:10.4544194Z Entering 'third_party/python-peachpy' 2025-09-07T09:05:10.4960375Z Entering 'third_party/sleef' 2025-09-07T09:05:10.5400045Z Entering 'third_party/tensorpipe' 2025-09-07T09:05:10.5665438Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:05:10.6039174Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:05:10.6395187Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:05:10.6803267Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:05:10.7338875Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:05:10.7685415Z ##[endgroup] 2025-09-07T09:05:10.7729958Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T09:05:10.7758511Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:05:10.7945680Z Prepare all required actions 2025-09-07T09:05:10.7946157Z Getting action download info 2025-09-07T09:05:11.0602099Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T09:05:11.0602356Z env: 2025-09-07T09:05:11.0602531Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:05:11.0602724Z ##[endgroup] 2025-09-07T09:05:11.0780885Z ##[group]Run set -euo pipefail 2025-09-07T09:05:11.0781192Z set -euo pipefail 2025-09-07T09:05:11.0781423Z function get_ec2_metadata() { 2025-09-07T09:05:11.0781709Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T09:05:11.0782193Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T09:05:11.0782619Z  category=$1 2025-09-07T09:05:11.0782881Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T09:05:11.0783308Z  runner_name_str=i-0b7d0f7dc0527ca9b-1005 2025-09-07T09:05:11.0783623Z  if [[ -f /.inarc ]]; then 2025-09-07T09:05:11.0783881Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T09:05:11.0784166Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T09:05:11.0784511Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T09:05:11.0785100Z  else 2025-09-07T09:05:11.0785765Z  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}" 2025-09-07T09:05:11.0786454Z  fi 2025-09-07T09:05:11.0786604Z } 2025-09-07T09:05:11.0786792Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T09:05:11.0787095Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T09:05:11.0787441Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T09:05:11.0787756Z echo "system info $(uname -a)" 2025-09-07T09:05:11.0802651Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:05:11.0802957Z env: 2025-09-07T09:05:11.0803115Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:05:11.0803303Z ##[endgroup] 2025-09-07T09:05:11.1053635Z ami-id: ARC Runner, no info on ec2 metadata 2025-09-07T09:05:11.1059985Z instance-id: ARC Runner, no info on ec2 metadata 2025-09-07T09:05:11.1066256Z instance-type: ARC Runner, no info on ec2 metadata 2025-09-07T09:05:11.1077586Z system info Linux 5a777ccf0584 6.8.0-1017-aws #18~22.04.1-Ubuntu SMP Thu Oct 3 19:57:42 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T09:05:11.1864930Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:05:11.1865691Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:05:11.1880567Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:05:11.1880864Z env: 2025-09-07T09:05:11.1881018Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:05:11.1881209Z ##[endgroup] 2025-09-07T09:05:11.2557615Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T09:05:11.2557894Z with: 2025-09-07T09:05:11.2558068Z shell: bash 2025-09-07T09:05:11.2558254Z timeout_minutes: 5 2025-09-07T09:05:11.2558428Z max_attempts: 3 2025-09-07T09:05:11.2558593Z retry_wait_seconds: 30 2025-09-07T09:05:11.2560783Z command: AWS_ACCOUNT_ID=$(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 2025-09-07T09:05:11.2562642Z polling_interval_seconds: 1 2025-09-07T09:05:11.2562859Z warning_on_retry: true 2025-09-07T09:05:11.2563046Z continue_on_error: false 2025-09-07T09:05:11.2563247Z env: 2025-09-07T09:05:11.2563399Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:05:11.2563587Z AWS_RETRY_MODE: standard 2025-09-07T09:05:11.2563768Z AWS_MAX_ATTEMPTS: 5 2025-09-07T09:05:11.2563952Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T09:05:11.2564146Z ##[endgroup] 2025-09-07T09:05:12.8641583Z 2025-09-07T09:05:12.8642174Z WARNING! Your credentials are stored unencrypted in '/home/eve/.docker/config.json'. 2025-09-07T09:05:12.8642713Z Configure a credential helper to remove this warning. See 2025-09-07T09:05:12.8643097Z https://docs.docker.com/go/credential-store/ 2025-09-07T09:05:12.8643301Z 2025-09-07T09:05:12.8643384Z Login Succeeded 2025-09-07T09:05:13.3309620Z Command completed after 1 attempt(s). 2025-09-07T09:05:13.3774851Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:05:13.3775366Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:05:13.3775802Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:05:13.3791003Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:05:13.3791312Z env: 2025-09-07T09:05:13.3791487Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:05:13.3791689Z ##[endgroup] 2025-09-07T09:05:13.4689080Z ##[group]Run set +e 2025-09-07T09:05:13.4689332Z set +e 2025-09-07T09:05:13.4689519Z set -x 2025-09-07T09:05:13.4689695Z  2025-09-07T09:05:13.4689887Z PT_DOMAIN=download.pytorch.org 2025-09-07T09:05:13.4690562Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T09:05:13.4691223Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T09:05:13.4691687Z # one is returned at random 2025-09-07T09:05:13.4692011Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T09:05:13.4692317Z  2025-09-07T09:05:13.4692503Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T09:05:13.4692869Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T09:05:13.4693295Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T09:05:13.4693609Z  2025-09-07T09:05:13.4693795Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T09:05:13.4694102Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T09:05:13.4694399Z  exit 1 2025-09-07T09:05:13.4694587Z  fi 2025-09-07T09:05:13.4694750Z fi 2025-09-07T09:05:13.4694915Z  2025-09-07T09:05:13.4695117Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T09:05:13.4695406Z  # Clean up any old records first 2025-09-07T09:05:13.4695688Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T09:05:13.4695944Z fi 2025-09-07T09:05:13.4696102Z  2025-09-07T09:05:13.4696352Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T09:05:13.4696678Z cat /etc/hosts 2025-09-07T09:05:13.4711380Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:05:13.4711681Z env: 2025-09-07T09:05:13.4711841Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:05:13.4712024Z ##[endgroup] 2025-09-07T09:05:13.5227012Z + PT_DOMAIN=download.pytorch.org 2025-09-07T09:05:13.5232572Z ++ dig -4 +short download.pytorch.org 2025-09-07T09:05:13.5234230Z ++ tail -n1 2025-09-07T09:05:13.5715603Z + RESOLVED_IP=3.170.131.12 2025-09-07T09:05:13.5715896Z + '[' -z 3.170.131.12 ']' 2025-09-07T09:05:13.5716157Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T09:05:13.5730819Z + echo '3.170.131.12 download.pytorch.org' 2025-09-07T09:05:13.5732196Z + sudo tee -a /etc/hosts 2025-09-07T09:05:13.5794171Z 3.170.131.12 download.pytorch.org 2025-09-07T09:05:13.5802256Z + cat /etc/hosts 2025-09-07T09:05:13.5810618Z 127.0.0.1 localhost 2025-09-07T09:05:13.5815323Z ::1 localhost ip6-localhost ip6-loopback 2025-09-07T09:05:13.5815654Z fe00:: ip6-localnet 2025-09-07T09:05:13.5815869Z ff00:: ip6-mcastprefix 2025-09-07T09:05:13.5816083Z ff02::1 ip6-allnodes 2025-09-07T09:05:13.5816285Z ff02::2 ip6-allrouters 2025-09-07T09:05:13.5816488Z 172.17.0.2 5a777ccf0584 2025-09-07T09:05:13.5816706Z 3.170.131.12 download.pytorch.org 2025-09-07T09:05:13.5979227Z ##[group]Run set +x 2025-09-07T09:05:13.5979473Z set +x 2025-09-07T09:05:13.5979651Z  2025-09-07T09:05:13.5979817Z max_attempts=30 2025-09-07T09:05:13.5980027Z delay=10 2025-09-07T09:05:13.5980381Z attempt=1 2025-09-07T09:05:13.5980579Z  2025-09-07T09:05:13.5980776Z for attempt in $(seq 1 $max_attempts); do 2025-09-07T09:05:13.5981219Z  echo "Attempt $attempt of $max_attempts: Checking if Docker daemon is running..." 2025-09-07T09:05:13.5981632Z  if docker info > /dev/null 2>&1; then 2025-09-07T09:05:13.5981980Z  echo "Docker is running. Proceeding with the next steps" 2025-09-07T09:05:13.5982570Z  exit 0 2025-09-07T09:05:13.5982751Z  else 2025-09-07T09:05:13.5983035Z  echo "Docker is not running yet." 2025-09-07T09:05:13.5983323Z  echo "Retrying in $delay seconds..." 2025-09-07T09:05:13.5983593Z  sleep $delay 2025-09-07T09:05:13.5983788Z  fi 2025-09-07T09:05:13.5983968Z done 2025-09-07T09:05:13.5984243Z echo "Reached maximum attempts to connect to Docker. Exiting." 2025-09-07T09:05:13.5984579Z exit 1 2025-09-07T09:05:13.5998827Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:05:13.5999123Z env: 2025-09-07T09:05:13.5999297Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:05:13.5999495Z ##[endgroup] 2025-09-07T09:05:13.6393780Z Attempt 1 of 30: Checking if Docker daemon is running... 2025-09-07T09:05:13.6839587Z Docker is running. Proceeding with the next steps 2025-09-07T09:05:13.7320978Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T09:05:13.7321412Z with: 2025-09-07T09:05:13.7322146Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:05:13.7322939Z use-custom-docker-registry: true 2025-09-07T09:05:13.7323162Z docker-build-dir: .ci/docker 2025-09-07T09:05:13.7323382Z docker-build-script: ./build.sh 2025-09-07T09:05:13.7323596Z working-directory: . 2025-09-07T09:05:13.7323859Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:05:13.7324150Z force-push: false 2025-09-07T09:05:13.7324324Z env: 2025-09-07T09:05:13.7324482Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:05:13.7324670Z ##[endgroup] 2025-09-07T09:05:13.7740681Z ##[group]Run set -ex 2025-09-07T09:05:13.7740923Z set -ex 2025-09-07T09:05:13.7741088Z  2025-09-07T09:05:13.7741449Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T09:05:13.7742001Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T09:05:13.7742439Z # job could then download the pre-built image as usual 2025-09-07T09:05:13.7743047Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T09:05:13.7743556Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T09:05:13.7743809Z else 2025-09-07T09:05:13.7744009Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T09:05:13.7744342Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:05:13.7744652Z  2025-09-07T09:05:13.7745085Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T09:05:13.7745595Z  exit 0 2025-09-07T09:05:13.7745779Z fi 2025-09-07T09:05:13.7745934Z  2025-09-07T09:05:13.7746191Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T09:05:13.7746657Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T09:05:13.7747064Z  # use it as it is, but first let's extract the tag 2025-09-07T09:05:13.7747435Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T09:05:13.7747837Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:05:13.7748208Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:05:13.7748520Z else 2025-09-07T09:05:13.7748716Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T09:05:13.7748992Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T09:05:13.7749277Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T09:05:13.7749752Z  fi 2025-09-07T09:05:13.7750090Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T09:05:13.7750685Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:05:13.7751159Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:05:13.7751683Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:05:13.7751997Z fi 2025-09-07T09:05:13.7765616Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:05:13.7765915Z env: 2025-09-07T09:05:13.7766074Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:05:13.7766271Z REPO_NAME: pytorch 2025-09-07T09:05:13.7767248Z 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 2025-09-07T09:05:13.7768037Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T09:05:13.7768251Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T09:05:13.7768531Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:05:13.7768830Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T09:05:13.7769036Z CUSTOM_TAG_PREFIX: 2025-09-07T09:05:13.7769209Z ##[endgroup] 2025-09-07T09:05:13.8185623Z + [[ -d .ci/docker ]] 2025-09-07T09:05:13.8185858Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T09:05:13.8186077Z + [[ true == \t\r\u\e ]] 2025-09-07T09:05:13.8186265Z + echo skip=false 2025-09-07T09:05:13.8187245Z + [[ 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* ]] 2025-09-07T09:05:13.8193275Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:05:13.8194190Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T09:05:13.8205898Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:05:13.8206864Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:05:13.8208255Z + 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 2025-09-07T09:05:13.8642237Z ##[group]Run set +e 2025-09-07T09:05:13.8642473Z set +e 2025-09-07T09:05:13.8642659Z set -x 2025-09-07T09:05:13.8642834Z  2025-09-07T09:05:13.8642998Z login() { 2025-09-07T09:05:13.8643397Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T09:05:13.8643830Z } 2025-09-07T09:05:13.8643992Z  2025-09-07T09:05:13.8644148Z retry () { 2025-09-07T09:05:13.8644360Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T09:05:13.8644618Z } 2025-09-07T09:05:13.8644779Z  2025-09-07T09:05:13.8644957Z retry login "${DOCKER_REGISTRY}" 2025-09-07T09:05:13.8645244Z  2025-09-07T09:05:13.8645415Z START_TIME=$(date +%s) 2025-09-07T09:05:13.8645652Z # Wait up to 120 minutes 2025-09-07T09:05:13.8645939Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T09:05:13.8646338Z  # Check if image already exists, if it does then skip building it 2025-09-07T09:05:13.8646735Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T09:05:13.8647026Z  exit 0 2025-09-07T09:05:13.8647212Z  fi 2025-09-07T09:05:13.8647378Z  2025-09-07T09:05:13.8647684Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T09:05:13.8648486Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T09:05:13.8649031Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T09:05:13.8649422Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T09:05:13.8649722Z  # It's a Docker build job, let's build the image 2025-09-07T09:05:13.8649977Z  break 2025-09-07T09:05:13.8650143Z  else 2025-09-07T09:05:13.8650525Z  # It's a regular build job, wait for the image to become available 2025-09-07T09:05:13.8650831Z  sleep 300 2025-09-07T09:05:13.8651007Z  fi 2025-09-07T09:05:13.8651157Z done 2025-09-07T09:05:13.8651302Z  2025-09-07T09:05:13.8651741Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T09:05:13.8652202Z # be empty. The default action would be to continue rebuild the image 2025-09-07T09:05:13.8652579Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T09:05:13.8652908Z  # if we're on the base branch then use the parent commit 2025-09-07T09:05:13.8653201Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T09:05:13.8653434Z else 2025-09-07T09:05:13.8653669Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T09:05:13.8654020Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T09:05:13.8654283Z fi 2025-09-07T09:05:13.8654425Z  2025-09-07T09:05:13.8654590Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T09:05:13.8654863Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T09:05:13.8655107Z  2025-09-07T09:05:13.8655447Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T09:05:13.8655860Z  exit 0 2025-09-07T09:05:13.8656017Z fi 2025-09-07T09:05:13.8656159Z  2025-09-07T09:05:13.8656370Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T09:05:13.8656872Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T09:05:13.8657303Z  exit 1 2025-09-07T09:05:13.8657457Z fi 2025-09-07T09:05:13.8657614Z  2025-09-07T09:05:13.8657872Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T09:05:13.8658365Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T09:05:13.8658795Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T09:05:13.8659306Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T09:05:13.8659879Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T09:05:13.8671387Z fi 2025-09-07T09:05:13.8671603Z  2025-09-07T09:05:13.8671816Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T09:05:13.8685108Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:05:13.8685411Z env: 2025-09-07T09:05:13.8685564Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:05:13.8685771Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T09:05:13.8686019Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:05:13.8686831Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:05:13.8687893Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:05:13.8688698Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:05:13.8688992Z DOCKER_PUSH: 2025-09-07T09:05:13.8689155Z ##[endgroup] 2025-09-07T09:05:13.9100634Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:05:13.9100997Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:05:13.9104057Z + aws ecr get-login-password --region us-east-1 2025-09-07T09:05:13.9105348Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:05:14.7278281Z 2025-09-07T09:05:14.7279136Z WARNING! Your credentials are stored unencrypted in '/home/eve/.docker/config.json'. 2025-09-07T09:05:14.7279989Z Login Succeeded 2025-09-07T09:05:14.7281017Z Configure a credential helper to remove this warning. See 2025-09-07T09:05:14.7281698Z https://docs.docker.com/go/credential-store/ 2025-09-07T09:05:14.7282088Z 2025-09-07T09:05:14.7313566Z ++ date +%s 2025-09-07T09:05:14.7323737Z + START_TIME=1757235914 2025-09-07T09:05:14.7328045Z ++ date +%s 2025-09-07T09:05:14.7338611Z + [[ 1757228714 -lt 1757235914 ]] 2025-09-07T09:05:14.7339503Z + 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 2025-09-07T09:05:15.1308866Z { 2025-09-07T09:05:15.1309114Z "schemaVersion": 2, 2025-09-07T09:05:15.1309492Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T09:05:15.1309892Z "config": { 2025-09-07T09:05:15.1310184Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T09:05:15.1310874Z "size": 31375, 2025-09-07T09:05:15.1311243Z "digest": "sha256:29d1d8a31b215537637bab7c99e18c255840b899cf7023e4e3cb5efa3270aef8" 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"sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T09:05:15.1415705Z } 2025-09-07T09:05:15.1415836Z ] 2025-09-07T09:05:15.1415965Z } 2025-09-07T09:05:15.1416120Z + exit 0 2025-09-07T09:05:15.1530796Z ##[group]Run set -eux 2025-09-07T09:05:15.1531018Z set -eux 2025-09-07T09:05:15.1531320Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T09:05:15.1532220Z 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 2025-09-07T09:05:15.1547022Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:05:15.1547327Z env: 2025-09-07T09:05:15.1547491Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:05:15.1547681Z ##[endgroup] 2025-09-07T09:05:15.2000385Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T09:05:15.2002937Z + jq --raw-output .SecretString 2025-09-07T09:05:15.2004059Z + jq -r .docker_hub_readonly_token 2025-09-07T09:05:15.2005182Z + docker login --username pytorchbot --password-stdin 2025-09-07T09:05:15.7720097Z 2025-09-07T09:05:15.7723056Z An error occurred (AccessDeniedException) when calling the GetSecretValue operation: User: arn:aws:sts::308535385114:assumed-role/gh-ci-github-action-runners-runner-role/i-0b7d0f7dc0527ca9b is not authorized to perform: secretsmanager:GetSecretValue on resource: docker_hub_readonly_token because no identity-based policy allows the secretsmanager:GetSecretValue action 2025-09-07T09:05:15.8516429Z Error: Cannot perform an interactive login from a non TTY device 2025-09-07T09:05:15.8534773Z + true 2025-09-07T09:05:15.8710873Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T09:05:15.8711217Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T09:05:15.8711545Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T09:05:15.8726398Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:05:15.8726700Z env: 2025-09-07T09:05:15.8726859Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:05:15.8727592Z 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 2025-09-07T09:05:15.8728338Z ##[endgroup] 2025-09-07T09:05:15.9116218Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:05:15.9544149Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T09:05:15.9544547Z with: 2025-09-07T09:05:15.9545250Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:05:15.9546085Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:05:15.9546416Z env: 2025-09-07T09:05:15.9546565Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:05:15.9546761Z ##[endgroup] 2025-09-07T09:05:15.9971119Z ##[group]Run set -x 2025-09-07T09:05:15.9971341Z set -x 2025-09-07T09:05:15.9971512Z set +e 2025-09-07T09:05:15.9971678Z  2025-09-07T09:05:15.9971838Z login() { 2025-09-07T09:05:15.9972218Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T09:05:15.9972638Z } 2025-09-07T09:05:15.9972792Z  2025-09-07T09:05:15.9973006Z retry () { 2025-09-07T09:05:15.9973209Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T09:05:15.9973451Z } 2025-09-07T09:05:15.9973602Z  2025-09-07T09:05:15.9973770Z retry login "${DOCKER_REGISTRY}" 2025-09-07T09:05:15.9973999Z  2025-09-07T09:05:15.9974366Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T09:05:15.9974904Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T09:05:15.9975193Z  2025-09-07T09:05:15.9975354Z set -e 2025-09-07T09:05:15.9975612Z # ignore output since only exit code is used for conditional 2025-09-07T09:05:15.9975980Z # only pull docker image if it's not available locally 2025-09-07T09:05:15.9976392Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T09:05:15.9976784Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T09:05:15.9977026Z fi 2025-09-07T09:05:15.9991967Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:05:15.9992273Z env: 2025-09-07T09:05:15.9992439Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:05:15.9993181Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:05:15.9994014Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:05:15.9994295Z ##[endgroup] 2025-09-07T09:05:16.0496998Z + set +e 2025-09-07T09:05:16.0497256Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:05:16.0497601Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:05:16.0501517Z + aws ecr get-login-password --region us-east-1 2025-09-07T09:05:16.0502500Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:05:16.8988618Z 2025-09-07T09:05:16.8989258Z WARNING! Your credentials are stored unencrypted in '/home/eve/.docker/config.json'. 2025-09-07T09:05:16.8989854Z Configure a credential helper to remove this warning. See 2025-09-07T09:05:16.8990658Z https://docs.docker.com/go/credential-store/ 2025-09-07T09:05:16.8990882Z 2025-09-07T09:05:16.8990971Z Login Succeeded 2025-09-07T09:05:16.9023224Z ++ 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 2025-09-07T09:05:16.9024948Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T09:05:17.2924477Z + IMAGE_SIZE=36183.606596946716 2025-09-07T09:05:17.2924837Z + echo 'Compressed size of image in MB: 36183.606596946716' 2025-09-07T09:05:17.2925165Z + set -e 2025-09-07T09:05:17.2926589Z + 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 2025-09-07T09:05:17.2927520Z Compressed size of image in MB: 36183.606596946716 2025-09-07T09:05:17.3049504Z + 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 2025-09-07T09:05:17.3051308Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:05:19.7578543Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T09:05:19.7579972Z e6fdc8487bfe: Pulling fs layer 2025-09-07T09:05:19.7580984Z 171dcef20c49: Pulling fs layer 2025-09-07T09:05:19.7581244Z 4c92b3f72f1d: Pulling fs layer 2025-09-07T09:05:19.7581496Z 744f9ba90a65: Pulling fs layer 2025-09-07T09:05:19.7581761Z d3c08322a332: Pulling fs layer 2025-09-07T09:05:19.7581994Z ffd43b71f3cc: Pulling fs layer 2025-09-07T09:05:19.7582231Z 830692b57f6e: Pulling fs layer 2025-09-07T09:05:19.7582470Z 5bad36d18468: Pulling fs layer 2025-09-07T09:05:19.7582705Z 0e34fdd9ac5c: Pulling fs layer 2025-09-07T09:05:19.7583031Z 744f9ba90a65: Waiting 2025-09-07T09:05:19.7583247Z 3c868a62868e: Pulling fs layer 2025-09-07T09:05:19.7583482Z 62170a22dd57: Pulling fs layer 2025-09-07T09:05:19.7583717Z 5bad36d18468: Waiting 2025-09-07T09:05:19.7583909Z ffd43b71f3cc: Waiting 2025-09-07T09:05:19.7584105Z 830692b57f6e: Waiting 2025-09-07T09:05:19.7584315Z 553c1d23b6c4: Pulling fs layer 2025-09-07T09:05:19.7584540Z 0e34fdd9ac5c: Waiting 2025-09-07T09:05:19.7584725Z d3c08322a332: Waiting 2025-09-07T09:05:19.7584932Z 9408d557a804: Pulling fs layer 2025-09-07T09:05:19.7585178Z df607cfc7c07: Pulling fs layer 2025-09-07T09:05:19.7585413Z 4f4fb700ef54: Pulling fs layer 2025-09-07T09:05:19.7585647Z 40a8e39faeda: Pulling fs layer 2025-09-07T09:05:19.7585886Z d895771c9fac: Pulling fs layer 2025-09-07T09:05:19.7586117Z c4ee04f39d49: Pulling fs layer 2025-09-07T09:05:19.7586368Z 3c868a62868e: Waiting 2025-09-07T09:05:19.7586570Z 3690c9826e48: Pulling fs layer 2025-09-07T09:05:19.7586786Z 62170a22dd57: Waiting 2025-09-07T09:05:19.7586979Z 9408d557a804: Waiting 2025-09-07T09:05:19.7587175Z 553c1d23b6c4: Waiting 2025-09-07T09:05:19.7587381Z 57cbc5013733: Pulling fs layer 2025-09-07T09:05:19.7587605Z 4f4fb700ef54: Waiting 2025-09-07T09:05:19.7587812Z 40a8e39faeda: Waiting 2025-09-07T09:05:19.7588009Z df607cfc7c07: Waiting 2025-09-07T09:05:19.7588210Z f5f4b06b58bb: Pulling fs layer 2025-09-07T09:05:19.7588475Z 3690c9826e48: Waiting 2025-09-07T09:05:19.7588661Z 57cbc5013733: Waiting 2025-09-07T09:05:19.7588861Z f59713ce4bf4: Pulling fs layer 2025-09-07T09:05:19.7589090Z fe0486521517: Pulling fs layer 2025-09-07T09:05:19.7589304Z f5f4b06b58bb: Waiting 2025-09-07T09:05:19.7589500Z c4ee04f39d49: Waiting 2025-09-07T09:05:19.7589703Z 8c21cc3715a2: Pulling fs layer 2025-09-07T09:05:19.7589936Z f59713ce4bf4: Waiting 2025-09-07T09:05:19.7590138Z d37c58456a6a: Pulling fs layer 2025-09-07T09:05:19.7590502Z fe0486521517: Waiting 2025-09-07T09:05:19.7590666Z 8c21cc3715a2: Waiting 2025-09-07T09:05:19.7590836Z d042f63abc13: Pulling fs layer 2025-09-07T09:05:19.7591027Z 621284a9c05a: Pulling fs layer 2025-09-07T09:05:19.7591219Z 85f605d2dd3a: Pulling fs layer 2025-09-07T09:05:19.7591411Z 381b5539e598: Pulling fs layer 2025-09-07T09:05:19.7591985Z d042f63abc13: Waiting 2025-09-07T09:05:19.7592155Z a487c0c80029: Pulling fs layer 2025-09-07T09:05:19.7592352Z 621284a9c05a: Waiting 2025-09-07T09:05:19.7592532Z 48bcb81e2566: Pulling fs layer 2025-09-07T09:05:19.7592723Z 381b5539e598: Waiting 2025-09-07T09:05:19.7592881Z 85f605d2dd3a: Waiting 2025-09-07T09:05:19.7593057Z a487c0c80029: Waiting 2025-09-07T09:05:19.7593227Z e261928c0043: Pulling fs layer 2025-09-07T09:05:19.7593420Z 0fea55428091: Pulling fs layer 2025-09-07T09:05:19.7593606Z b4291bccbb84: Pulling fs layer 2025-09-07T09:05:19.7593985Z 48bcb81e2566: Waiting 2025-09-07T09:05:19.7594171Z ddc91b09189a: Pulling fs layer 2025-09-07T09:05:19.7594357Z 0fea55428091: Waiting 2025-09-07T09:05:19.7594512Z b4291bccbb84: Waiting 2025-09-07T09:05:19.7594672Z e261928c0043: Waiting 2025-09-07T09:05:19.7594835Z ddc91b09189a: Waiting 2025-09-07T09:05:19.7595014Z 7540c7428627: Pulling fs layer 2025-09-07T09:05:19.7595202Z 003c4e2598fb: Pulling fs layer 2025-09-07T09:05:19.7595392Z 5687149362ae: Pulling fs layer 2025-09-07T09:05:19.7595593Z cdd2cf54eb2a: Pulling fs layer 2025-09-07T09:05:19.7595789Z d3ad4df1ba3a: Pulling fs layer 2025-09-07T09:05:19.7595973Z 3c9055753b4c: Pulling fs layer 2025-09-07T09:05:19.7596179Z 31cf8d0bd21c: Pulling fs layer 2025-09-07T09:05:19.7596368Z 5687149362ae: Waiting 2025-09-07T09:05:19.7596534Z 6623ea814971: Pulling fs layer 2025-09-07T09:05:19.7596709Z 7540c7428627: Waiting 2025-09-07T09:05:19.7596872Z cdd2cf54eb2a: Waiting 2025-09-07T09:05:19.7597046Z 11696c3aa380: Pulling fs layer 2025-09-07T09:05:19.7597230Z 003c4e2598fb: Waiting 2025-09-07T09:05:19.7597398Z ef4d544e35ca: Pulling fs layer 2025-09-07T09:05:19.7597590Z d3ad4df1ba3a: Waiting 2025-09-07T09:05:19.7597758Z 31cf8d0bd21c: Waiting 2025-09-07T09:05:19.7597921Z 3c9055753b4c: Waiting 2025-09-07T09:05:19.7598074Z 6623ea814971: Waiting 2025-09-07T09:05:19.7598243Z 11696c3aa380: Waiting 2025-09-07T09:05:19.7598410Z 5c5108865e5e: Pulling fs layer 2025-09-07T09:05:19.7598593Z 9e97578e9edf: Pulling fs layer 2025-09-07T09:05:19.7598780Z ef4d544e35ca: Waiting 2025-09-07T09:05:19.7598937Z 5c5108865e5e: Waiting 2025-09-07T09:05:19.7599104Z da5a91b54cb5: Pulling fs layer 2025-09-07T09:05:19.7599287Z 1e93be219e89: Pulling fs layer 2025-09-07T09:05:19.7599467Z 9e97578e9edf: Waiting 2025-09-07T09:05:19.7599631Z 136825afebb5: Pulling fs layer 2025-09-07T09:05:19.7599817Z 22b39805302d: Pulling fs layer 2025-09-07T09:05:19.7599998Z da5a91b54cb5: Waiting 2025-09-07T09:05:19.7600164Z d12add675e35: Pulling fs layer 2025-09-07T09:05:19.7600519Z 1e93be219e89: Waiting 2025-09-07T09:05:19.7600691Z bc127046d33a: Pulling fs layer 2025-09-07T09:05:19.7600878Z 22b39805302d: Waiting 2025-09-07T09:05:19.7601038Z 136825afebb5: Waiting 2025-09-07T09:05:19.7601197Z d12add675e35: Waiting 2025-09-07T09:05:19.7601371Z 951e8ce83841: Pulling fs layer 2025-09-07T09:05:19.7601545Z bc127046d33a: Waiting 2025-09-07T09:05:19.7601710Z 32340b97ae50: Pulling fs layer 2025-09-07T09:05:19.7601895Z 951e8ce83841: Waiting 2025-09-07T09:05:19.7602063Z 5bbb04cd6b57: Pulling fs layer 2025-09-07T09:05:19.7602257Z d8c4b845cfc7: Pulling fs layer 2025-09-07T09:05:19.7602448Z b35c180f4d8d: Pulling fs layer 2025-09-07T09:05:19.7602642Z 5f967b3c303a: Pulling fs layer 2025-09-07T09:05:19.7602836Z 04770904f012: Pulling fs layer 2025-09-07T09:05:19.7603016Z 32340b97ae50: Waiting 2025-09-07T09:05:19.7603179Z b35c180f4d8d: Waiting 2025-09-07T09:05:19.7603344Z 73373941fb32: Pulling fs layer 2025-09-07T09:05:19.7603524Z d8c4b845cfc7: Waiting 2025-09-07T09:05:19.7603684Z 9572e6cd907b: Pulling fs layer 2025-09-07T09:05:19.7603880Z 5f967b3c303a: Waiting 2025-09-07T09:05:19.7604052Z 64a544aba233: Pulling fs layer 2025-09-07T09:05:19.7604237Z 04770904f012: Waiting 2025-09-07T09:05:19.7604392Z 9572e6cd907b: Waiting 2025-09-07T09:05:19.7604556Z 7e35418a2499: Pulling fs layer 2025-09-07T09:05:19.7604747Z 2ed8e82748d4: Pulling fs layer 2025-09-07T09:05:19.7604938Z c988fbcccd70: Pulling fs layer 2025-09-07T09:05:19.7605117Z 7e35418a2499: Waiting 2025-09-07T09:05:19.7605277Z 2ed8e82748d4: Waiting 2025-09-07T09:05:19.7605627Z c988fbcccd70: Waiting 2025-09-07T09:05:19.9216688Z 171dcef20c49: Verifying Checksum 2025-09-07T09:05:19.9217026Z 171dcef20c49: Download complete 2025-09-07T09:05:20.0686925Z 744f9ba90a65: Verifying Checksum 2025-09-07T09:05:20.0687237Z 744f9ba90a65: Download complete 2025-09-07T09:05:20.1857106Z e6fdc8487bfe: Verifying Checksum 2025-09-07T09:05:20.1857466Z e6fdc8487bfe: Download complete 2025-09-07T09:05:20.2249144Z d3c08322a332: Verifying Checksum 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2025-09-07T09:23:46.2257418Z 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 2025-09-07T09:23:46.4459677Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:23:46.4599512Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:23:46.4600553Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:23:46.4615172Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:23:46.4615467Z env: 2025-09-07T09:23:46.4615642Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:23:46.4616078Z ##[endgroup] 2025-09-07T09:23:46.5848531Z ##[group]Run echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T09:23:46.5849109Z echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T09:23:46.5863565Z shell: /usr/bin/bash -e {0} 2025-09-07T09:23:46.5863787Z env: 2025-09-07T09:23:46.5863949Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:23:46.5864148Z ##[endgroup] 2025-09-07T09:23:46.6772914Z ##[group]Run echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T09:23:46.6773715Z echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T09:23:46.6787329Z shell: /usr/bin/bash -e {0} 2025-09-07T09:23:46.6787551Z env: 2025-09-07T09:23:46.6787712Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:23:46.6787964Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:23:46.6788252Z ##[endgroup] 2025-09-07T09:23:46.7246370Z Prepare all required actions 2025-09-07T09:23:46.7315702Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T09:23:46.7315963Z with: 2025-09-07T09:23:46.7316336Z github-token: *** 2025-09-07T09:23:46.7316521Z env: 2025-09-07T09:23:46.7316683Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:23:46.7316927Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:23:46.7317279Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T09:23:46.7317563Z ##[endgroup] 2025-09-07T09:23:46.8735702Z ##[group]Run set -eux 2025-09-07T09:23:46.8735958Z set -eux 2025-09-07T09:23:46.8736374Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T09:23:46.8750163Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:23:46.8750626Z env: 2025-09-07T09:23:46.8750782Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:23:46.8751042Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:23:46.8751459Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T09:23:46.8751925Z GITHUB_TOKEN: *** 2025-09-07T09:23:46.8752097Z ##[endgroup] 2025-09-07T09:23:46.9199543Z + python3 .github/scripts/get_workflow_job_id.py 17525296438 i-0b7d0f7dc0527ca9b-1005 2025-09-07T09:23:47.7273483Z Setting output job-id=49775781824 2025-09-07T09:23:47.7274031Z Setting output job-name=test-weekly / test (inductor_huggingface_perf_cuda_h100, 2, 5, linux.aws.h100) 2025-09-07T09:23:47.7823111Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T09:23:47.7823749Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T09:23:47.7824515Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T09:23:47.7825195Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:23:47.7839084Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:23:47.7839388Z env: 2025-09-07T09:23:47.7839557Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:23:47.7839802Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:23:47.7840147Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T09:23:47.7840594Z JOB_ID: 49775781824 2025-09-07T09:23:47.7840952Z JOB_NAME: test-weekly / test (inductor_huggingface_perf_cuda_h100, 2, 5, linux.aws.h100) 2025-09-07T09:23:47.7841369Z WORKFLOW_NAME: inductor-perf-nightly-h100 2025-09-07T09:23:47.7841630Z WORKFLOW_RUN_ID: 17525296438 2025-09-07T09:23:47.7841839Z MONITOR_LOG_INTERVAL: 15 2025-09-07T09:23:47.7842041Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T09:23:47.7842253Z ##[endgroup] 2025-09-07T09:23:48.1048797Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T09:23:48.7641643Z Collecting psutil==5.9.8 2025-09-07T09:23:48.8526703Z 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) 2025-09-07T09:23:49.2787841Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.2/288.2 KB 656.4 kB/s eta 0:00:00 2025-09-07T09:23:49.4981335Z Collecting dataclasses_json==0.6.7 2025-09-07T09:23:49.5082346Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T09:23:50.6107987Z Collecting nvidia-ml-py==11.525.84 2025-09-07T09:23:50.6234323Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T09:23:51.6069316Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T09:23:51.6176763Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T09:23:52.9674502Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T09:23:52.9779875Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T09:23:53.3286962Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.9/50.9 KB 116.9 kB/s eta 0:00:00 2025-09-07T09:23:53.8096201Z Collecting packaging>=17.0 2025-09-07T09:23:53.8202496Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T09:23:54.2380759Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.5/66.5 KB 135.3 kB/s eta 0:00:00 2025-09-07T09:23:54.6834668Z Collecting typing-extensions>=3.7.4 2025-09-07T09:23:54.6946156Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T09:23:55.0919987Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 44.6/44.6 KB 87.4 kB/s eta 0:00:00 2025-09-07T09:23:55.3322617Z Collecting mypy-extensions>=0.3.0 2025-09-07T09:23:55.3427601Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T09:23:55.7412752Z Installing collected packages: nvidia-ml-py, typing-extensions, psutil, packaging, mypy-extensions, typing-inspect, marshmallow, dataclasses_json 2025-09-07T09:24:04.2495106Z 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 2025-09-07T09:24:04.3075368Z Prepare all required actions 2025-09-07T09:24:04.3075706Z Getting action download info 2025-09-07T09:24:04.4857114Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T09:24:05.6804963Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T09:24:09.4557050Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T09:24:09.4557374Z with: 2025-09-07T09:24:09.4557588Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:24:09.4557875Z s3-bucket: gha-artifacts 2025-09-07T09:24:09.4558095Z env: 2025-09-07T09:24:09.4558272Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:24:09.4558560Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:24:09.4558952Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T09:24:09.4559291Z ##[endgroup] 2025-09-07T09:24:09.5494671Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T09:24:09.5494963Z with: 2025-09-07T09:24:09.5495156Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:24:09.5495419Z s3-bucket: gha-artifacts 2025-09-07T09:24:09.5495617Z region: us-east-1 2025-09-07T09:24:09.5495786Z env: 2025-09-07T09:24:09.5495943Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:24:09.5496192Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:24:09.5496540Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T09:24:09.5496835Z ##[endgroup] 2025-09-07T09:24:09.9644481Z (node:7926) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T09:24:09.9645036Z 2025-09-07T09:24:09.9645240Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T09:24:09.9645779Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T09:24:09.9646342Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T09:24:10.0899000Z Found 1 objects with prefix pytorch/pytorch/17525296438/linux-jammy-cuda12.8-py3.10-gcc9-sm90/ 2025-09-07T09:24:10.0899659Z Starting download (1/1): /home/eve/_work/pytorch/pytorch/artifacts.zip 2025-09-07T09:24:20.1932777Z Finished download (1/1): /home/eve/_work/pytorch/pytorch/artifacts.zip 2025-09-07T09:24:20.1941007Z Artifact download has finished successfully 2025-09-07T09:24:20.2306915Z ##[group]Run unzip -o artifacts.zip 2025-09-07T09:24:20.2307179Z unzip -o artifacts.zip 2025-09-07T09:24:20.2321569Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:24:20.2321875Z env: 2025-09-07T09:24:20.2322037Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:24:20.2322301Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:24:20.2322651Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T09:24:20.2322936Z ##[endgroup] 2025-09-07T09:24:20.2827727Z Archive: artifacts.zip 2025-09-07T09:24:20.2828836Z 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2025-09-07T09:24:31.5407924Z ##[group]Run rm artifacts.zip 2025-09-07T09:24:31.5408173Z rm artifacts.zip 2025-09-07T09:24:31.5422559Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:24:31.5422946Z env: 2025-09-07T09:24:31.5423114Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:24:31.5423361Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:24:31.5423716Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T09:24:31.5424022Z ##[endgroup] 2025-09-07T09:24:31.9936127Z ##[group]Run df -H 2025-09-07T09:24:31.9936329Z df -H 2025-09-07T09:24:31.9949628Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:24:31.9949917Z env: 2025-09-07T09:24:31.9950079Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:24:31.9950497Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:24:31.9950844Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T09:24:31.9951131Z ##[endgroup] 2025-09-07T09:24:32.0439687Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T09:24:32.0440081Z overlay 7.3T 639G 6.7T 9% / 2025-09-07T09:24:32.0440645Z tmpfs 68M 0 68M 0% /dev 2025-09-07T09:24:32.0440997Z shm 68M 0 68M 0% /dev/shm 2025-09-07T09:24:32.0441362Z /dev/root 7.3T 639G 6.7T 9% /home/eve/_work 2025-09-07T09:24:32.0441744Z tmpfs 215G 111k 215G 1% /run/docker.sock 2025-09-07T09:24:32.0442523Z tmpfs 1.1T 13k 1.1T 1% /proc/driver/nvidia 2025-09-07T09:24:32.0442967Z tmpfs 430G 2.9M 430G 1% /run/.ro963473887/nvidia-persistenced/socket 2025-09-07T09:24:32.0443383Z tmpfs 1.1T 0 1.1T 0% /proc/acpi 2025-09-07T09:24:32.0443708Z tmpfs 1.1T 0 1.1T 0% /proc/scsi 2025-09-07T09:24:32.0444019Z tmpfs 1.1T 0 1.1T 0% /sys/firmware 2025-09-07T09:24:32.0472823Z Prepare all required actions 2025-09-07T09:24:32.0473665Z Getting action download info 2025-09-07T09:24:32.2151991Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T09:24:32.2152300Z with: 2025-09-07T09:24:32.2152471Z env: 2025-09-07T09:24:32.2152661Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:24:32.2152951Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:24:32.2153345Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T09:24:32.2153682Z ##[endgroup] 2025-09-07T09:24:32.3035684Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T09:24:32.3035977Z with: 2025-09-07T09:24:32.3036155Z name: td_results 2025-09-07T09:24:32.3036362Z s3-bucket: gha-artifacts 2025-09-07T09:24:32.3036596Z region: us-east-1 2025-09-07T09:24:32.3036792Z env: 2025-09-07T09:24:32.3036967Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:24:32.3037251Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:24:32.3037734Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T09:24:32.3038079Z ##[endgroup] 2025-09-07T09:24:32.7238625Z (node:7948) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T09:24:32.7239073Z 2025-09-07T09:24:32.7239241Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T09:24:32.7239727Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T09:24:32.7240472Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T09:24:32.8404471Z Found 0 objects with prefix pytorch/pytorch/17525296438/td_results/ 2025-09-07T09:24:32.8409945Z Artifact download has finished successfully 2025-09-07T09:24:32.9087817Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T09:24:32.9088192Z mkdir -p .additional_ci_files 2025-09-07T09:24:32.9088601Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T09:24:32.9103621Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:24:32.9103926Z env: 2025-09-07T09:24:32.9104086Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:24:32.9104332Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:24:32.9104689Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T09:24:32.9104985Z ##[endgroup] 2025-09-07T09:24:32.9574870Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T09:24:33.0013657Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T09:24:33.0013969Z .github/scripts/parse_ref.py 2025-09-07T09:24:33.0027619Z shell: /usr/bin/bash -e {0} 2025-09-07T09:24:33.0027887Z env: 2025-09-07T09:24:33.0028060Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:24:33.0028314Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:24:33.0028702Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T09:24:33.0029001Z ##[endgroup] 2025-09-07T09:24:33.0637697Z Setting output branch=main 2025-09-07T09:24:33.0750036Z Prepare all required actions 2025-09-07T09:24:33.0750518Z Getting action download info 2025-09-07T09:24:33.2207267Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T09:24:33.2207582Z with: 2025-09-07T09:24:33.2207950Z github-token: *** 2025-09-07T09:24:33.2213391Z 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"}]} 2025-09-07T09:24:33.2219244Z job-name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 2, 5, linux.aws.h100) 2025-09-07T09:24:33.2219609Z env: 2025-09-07T09:24:33.2219766Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:24:33.2220013Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:24:33.2220467Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T09:24:33.2220755Z ##[endgroup] 2025-09-07T09:24:33.2654043Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T09:24:33.2654288Z with: 2025-09-07T09:24:33.2654439Z shell: bash 2025-09-07T09:24:33.2654608Z timeout_minutes: 10 2025-09-07T09:24:33.2654794Z max_attempts: 5 2025-09-07T09:24:33.2654972Z retry_wait_seconds: 30 2025-09-07T09:24:33.2655587Z 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 2025-09-07T09:24:33.2656242Z polling_interval_seconds: 1 2025-09-07T09:24:33.2656460Z warning_on_retry: true 2025-09-07T09:24:33.2656658Z continue_on_error: false 2025-09-07T09:24:33.2656852Z env: 2025-09-07T09:24:33.2657010Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:24:33.2657256Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:24:33.2657625Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T09:24:33.2658038Z GITHUB_TOKEN: *** 2025-09-07T09:24:33.2658216Z ##[endgroup] 2025-09-07T09:24:33.3368808Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T09:24:33.6093847Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T09:24:34.6766009Z Collecting requests==2.27.1 2025-09-07T09:24:34.7366648Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T09:24:35.4902333Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.1/63.1 KB 70.5 kB/s eta 0:00:00 2025-09-07T09:24:35.7103851Z Collecting pyyaml==6.0.2 2025-09-07T09:24:35.7918966Z Downloading PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (751 kB) 2025-09-07T09:24:36.5715980Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 751.2/751.2 KB 953.7 kB/s eta 0:00:00 2025-09-07T09:24:36.7302873Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3/dist-packages (from requests==2.27.1) (1.26.5) 2025-09-07T09:24:37.3742811Z Collecting charset-normalizer~=2.0.0 2025-09-07T09:24:37.4831906Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T09:24:38.4134568Z Requirement already satisfied: certifi>=2017.4.17 in /usr/lib/python3/dist-packages (from requests==2.27.1) (2020.6.20) 2025-09-07T09:24:38.4152361Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3/dist-packages (from requests==2.27.1) (3.3) 2025-09-07T09:24:38.5925158Z Installing collected packages: pyyaml, charset-normalizer, requests 2025-09-07T09:24:39.9495941Z WARNING: The script normalizer is installed in '/home/eve/.local/bin' which is not on PATH. 2025-09-07T09:24:39.9496822Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T09:24:41.7676701Z Successfully installed charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T09:24:42.3433800Z Command completed after 1 attempt(s). 2025-09-07T09:24:42.3583164Z ##[group]Run set -x 2025-09-07T09:24:42.3583393Z set -x 2025-09-07T09:24:42.3583565Z  2025-09-07T09:24:42.3583875Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T09:24:42.3584270Z # in runner workspace 2025-09-07T09:24:42.3584590Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T09:24:42.3599034Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:24:42.3599339Z env: 2025-09-07T09:24:42.3599503Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:24:42.3599764Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:24:42.3600107Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T09:24:42.3600547Z ##[endgroup] 2025-09-07T09:24:42.4023595Z + python3 /home/eve/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T09:24:42.4166451Z Setting output branch=main 2025-09-07T09:24:42.4439026Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T09:24:42.4439410Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T09:24:42.4439700Z echo "Job name: ${JOB_NAME}" 2025-09-07T09:24:42.4439982Z  2025-09-07T09:24:42.4440490Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T09:24:42.4440920Z # in runner workspace 2025-09-07T09:24:42.4441297Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T09:24:42.4441721Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T09:24:42.4442020Z  --job-name "${JOB_NAME}" \ 2025-09-07T09:24:42.4447998Z  --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"}]}" \ 2025-09-07T09:24:42.4453864Z  --selected-test-configs "" \ 2025-09-07T09:24:42.4454133Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T09:24:42.4454367Z  --tag "${TAG}" \ 2025-09-07T09:24:42.4454586Z  --event-name "${EVENT_NAME}" \ 2025-09-07T09:24:42.4454829Z  --schedule "${SCHEDULE}" \ 2025-09-07T09:24:42.4455051Z  --branch "${HEAD_BRANCH}" 2025-09-07T09:24:42.4469423Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:24:42.4469730Z env: 2025-09-07T09:24:42.4469895Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:24:42.4470149Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:24:42.4470661Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T09:24:42.4471157Z GITHUB_TOKEN: *** 2025-09-07T09:24:42.4471492Z JOB_NAME: test-weekly / test (inductor_huggingface_perf_cuda_h100, 2, 5, linux.aws.h100) 2025-09-07T09:24:42.4471872Z PR_NUMBER: 2025-09-07T09:24:42.4472047Z TAG: 2025-09-07T09:24:42.4472192Z EVENT_NAME: schedule 2025-09-07T09:24:42.4472374Z SCHEDULE: 0 7 * * 0 2025-09-07T09:24:42.4472553Z HEAD_BRANCH: main 2025-09-07T09:24:42.4472723Z ##[endgroup] 2025-09-07T09:24:42.4806119Z Workflow: inductor-perf-nightly-h100 2025-09-07T09:24:42.4806562Z Job name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 2, 5, linux.aws.h100) 2025-09-07T09:24:42.6974432Z Setting output keep-going=True 2025-09-07T09:24:42.6974826Z Setting output ci-verbose-test-logs=False 2025-09-07T09:24:42.6975160Z Setting output ci-test-showlocals=False 2025-09-07T09:24:42.6975465Z Setting output ci-no-test-timeout=False 2025-09-07T09:24:42.6975751Z Setting output ci-no-td=False 2025-09-07T09:24:42.6976030Z Setting output ci-td-distributed=False 2025-09-07T09:24:42.6976311Z Setting output is-unstable=False 2025-09-07T09:24:42.6976577Z Setting output reenabled-issues= 2025-09-07T09:24:42.6984065Z 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"}]} 2025-09-07T09:24:42.6990341Z Setting output is-test-matrix-empty=False 2025-09-07T09:24:42.7447588Z ##[group]Run echo "Filtered matrix:" 2025-09-07T09:24:42.7447875Z echo "Filtered matrix:" 2025-09-07T09:24:42.7454072Z 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"}]}" 2025-09-07T09:24:42.7459554Z  2025-09-07T09:24:42.7459706Z echo 2025-09-07T09:24:42.7459909Z echo "Is the current job unstable? False" 2025-09-07T09:24:42.7460151Z  2025-09-07T09:24:42.7460525Z echo 2025-09-07T09:24:42.7460807Z echo "Is keep-going label set? True" 2025-09-07T09:24:42.7461170Z  2025-09-07T09:24:42.7461394Z echo 2025-09-07T09:24:42.7461928Z echo "Reenabled issues? " 2025-09-07T09:24:42.7476125Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:24:42.7476422Z env: 2025-09-07T09:24:42.7476584Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:24:42.7476839Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:24:42.7477179Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T09:24:42.7477474Z ##[endgroup] 2025-09-07T09:24:42.7581749Z Filtered matrix: 2025-09-07T09:24:42.7588057Z {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}]} 2025-09-07T09:24:42.7593536Z 2025-09-07T09:24:42.7593638Z Is the current job unstable? False 2025-09-07T09:24:42.7593793Z 2025-09-07T09:24:42.7593870Z Is keep-going label set? True 2025-09-07T09:24:42.7594010Z 2025-09-07T09:24:42.7594078Z Reenabled issues? 2025-09-07T09:24:42.8307107Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T09:24:42.8307558Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T09:24:42.8321764Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:24:42.8322076Z env: 2025-09-07T09:24:42.8322241Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:24:42.8322495Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:24:42.8322844Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T09:24:42.8323148Z JOB_TIMEOUT: 1440 2025-09-07T09:24:42.8323324Z ##[endgroup] 2025-09-07T09:24:42.9058446Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:24:42.9058901Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:24:42.9059259Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:24:42.9072860Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:24:42.9073163Z env: 2025-09-07T09:24:42.9073331Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:24:42.9073606Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:24:42.9073953Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T09:24:42.9074242Z ##[endgroup] 2025-09-07T09:24:42.9845303Z ##[group]Run set -x 2025-09-07T09:24:42.9845576Z set -x 2025-09-07T09:24:42.9845738Z  2025-09-07T09:24:42.9845927Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T09:24:42.9846226Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T09:24:42.9846513Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T09:24:42.9846784Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T09:24:42.9847000Z else 2025-09-07T09:24:42.9847175Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T09:24:42.9847402Z fi 2025-09-07T09:24:42.9847563Z  2025-09-07T09:24:42.9847758Z # Leaving 1GB for the runner and other things 2025-09-07T09:24:42.9848203Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T09:24:42.9848884Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T09:24:42.9849437Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T09:24:42.9849842Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T09:24:42.9850157Z  2025-09-07T09:24:42.9850523Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T09:24:42.9850780Z  SHM_OPTS= 2025-09-07T09:24:42.9850960Z  JENKINS_USER= 2025-09-07T09:24:42.9851213Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T09:24:42.9851565Z  # if for some reason cleanup action doesn't stop container 2025-09-07T09:24:42.9851849Z  # when job is cancelled 2025-09-07T09:24:42.9852074Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T09:24:42.9852294Z else 2025-09-07T09:24:42.9852489Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T09:24:42.9852747Z  JENKINS_USER="--user jenkins" 2025-09-07T09:24:42.9852980Z  DOCKER_SHELL_CMD= 2025-09-07T09:24:42.9853179Z fi 2025-09-07T09:24:42.9853327Z  2025-09-07T09:24:42.9853571Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T09:24:42.9853956Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T09:24:42.9854408Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T09:24:42.9854800Z # shellcheck disable=SC2086,SC2090 2025-09-07T09:24:42.9855046Z container_name=$(docker run \ 2025-09-07T09:24:42.9855269Z  ${GPU_FLAG:-} \ 2025-09-07T09:24:42.9855492Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T09:24:42.9855745Z  -e BUILD_ENVIRONMENT \ 2025-09-07T09:24:42.9855975Z  -e PR_NUMBER \ 2025-09-07T09:24:42.9856172Z  -e GITHUB_ACTIONS \ 2025-09-07T09:24:42.9856373Z  -e GITHUB_REPOSITORY \ 2025-09-07T09:24:42.9856587Z  -e GITHUB_WORKFLOW \ 2025-09-07T09:24:42.9856796Z  -e GITHUB_JOB \ 2025-09-07T09:24:42.9856987Z  -e GITHUB_RUN_ID \ 2025-09-07T09:24:42.9857193Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T09:24:42.9857405Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T09:24:42.9857614Z  -e JOB_ID \ 2025-09-07T09:24:42.9857791Z  -e JOB_NAME \ 2025-09-07T09:24:42.9857969Z  -e BASE_SHA \ 2025-09-07T09:24:42.9858145Z  -e BRANCH \ 2025-09-07T09:24:42.9858317Z  -e SHA1 \ 2025-09-07T09:24:42.9858496Z  -e AWS_DEFAULT_REGION \ 2025-09-07T09:24:42.9858704Z  -e IN_WHEEL_TEST \ 2025-09-07T09:24:42.9858900Z  -e SHARD_NUMBER \ 2025-09-07T09:24:42.9859095Z  -e TEST_CONFIG \ 2025-09-07T09:24:42.9859290Z  -e NUM_TEST_SHARDS \ 2025-09-07T09:24:42.9859504Z  -e REENABLED_ISSUES \ 2025-09-07T09:24:42.9859731Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T09:24:42.9860489Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T09:24:42.9860739Z  -e TEST_SHOWLOCALS \ 2025-09-07T09:24:42.9860960Z  -e NO_TEST_TIMEOUT \ 2025-09-07T09:24:42.9861161Z  -e NO_TD \ 2025-09-07T09:24:42.9861345Z  -e TD_DISTRIBUTED \ 2025-09-07T09:24:42.9861553Z  -e PR_LABELS \ 2025-09-07T09:24:42.9861764Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T09:24:42.9862017Z  -e SCCACHE_BUCKET \ 2025-09-07T09:24:42.9862217Z  -e SCCACHE_REGION \ 2025-09-07T09:24:42.9862413Z  -e XLA_CUDA \ 2025-09-07T09:24:42.9862616Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T09:24:42.9862967Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T09:24:42.9863237Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T09:24:42.9863506Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T09:24:42.9863758Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T09:24:42.9863996Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T09:24:42.9864251Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T09:24:42.9864491Z  -e DASHBOARD_TAG \ 2025-09-07T09:24:42.9864700Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T09:24:42.9864960Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T09:24:42.9865272Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T09:24:42.9865581Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T09:24:42.9865874Z  --security-opt seccomp=unconfined \ 2025-09-07T09:24:42.9866131Z  --cap-add=SYS_PTRACE \ 2025-09-07T09:24:42.9866350Z  --ipc=host \ 2025-09-07T09:24:42.9866537Z  ${SHM_OPTS} \ 2025-09-07T09:24:42.9866722Z  --tty \ 2025-09-07T09:24:42.9866887Z  --detach \ 2025-09-07T09:24:42.9867079Z  --name="${container_name}" \ 2025-09-07T09:24:42.9867311Z  ${JENKINS_USER} \ 2025-09-07T09:24:42.9867564Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T09:24:42.9867863Z  -w /var/lib/jenkins/workspace \ 2025-09-07T09:24:42.9868093Z  "${DOCKER_IMAGE}" \ 2025-09-07T09:24:42.9868292Z  ${DOCKER_SHELL_CMD} 2025-09-07T09:24:42.9868481Z ) 2025-09-07T09:24:42.9868688Z # Propagate download.pytorch.org IP to container 2025-09-07T09:24:42.9869187Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T09:24:42.9869720Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T09:24:42.9870024Z  2025-09-07T09:24:42.9870331Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T09:24:42.9870759Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T09:24:42.9871157Z fi 2025-09-07T09:24:42.9871308Z  2025-09-07T09:24:42.9871676Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T09:24:42.9884689Z shell: /usr/bin/bash -e {0} 2025-09-07T09:24:42.9884908Z env: 2025-09-07T09:24:42.9885064Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:24:42.9885317Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:24:42.9885665Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T09:24:42.9886029Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:24:42.9886306Z PR_NUMBER: 2025-09-07T09:24:42.9886486Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T09:24:42.9886746Z GITHUB_WORKFLOW: inductor-perf-nightly-h100 2025-09-07T09:24:42.9886993Z GITHUB_JOB: test 2025-09-07T09:24:42.9887162Z GITHUB_RUN_ID: 17525296438 2025-09-07T09:24:42.9887358Z GITHUB_RUN_NUMBER: 662 2025-09-07T09:24:42.9887543Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T09:24:42.9887716Z JOB_ID: 49775781824 2025-09-07T09:24:42.9888341Z JOB_NAME: test-weekly / test (inductor_huggingface_perf_cuda_h100, 2, 5, linux.aws.h100) 2025-09-07T09:24:42.9888728Z BRANCH: main 2025-09-07T09:24:42.9888917Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:24:42.9889207Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:24:42.9889492Z TEST_CONFIG: inductor_huggingface_perf_cuda_h100 2025-09-07T09:24:42.9889732Z SHARD_NUMBER: 2 2025-09-07T09:24:42.9889898Z NUM_TEST_SHARDS: 5 2025-09-07T09:24:42.9890069Z REENABLED_ISSUES: 2025-09-07T09:24:42.9890393Z CONTINUE_THROUGH_ERROR: True 2025-09-07T09:24:42.9890597Z VERBOSE_TEST_LOGS: False 2025-09-07T09:24:42.9890805Z TEST_SHOWLOCALS: False 2025-09-07T09:24:42.9890995Z NO_TEST_TIMEOUT: False 2025-09-07T09:24:42.9891170Z NO_TD: False 2025-09-07T09:24:42.9891323Z TD_DISTRIBUTED: False 2025-09-07T09:24:42.9891548Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T09:24:42.9891808Z SCCACHE_REGION: us-east-1 2025-09-07T09:24:42.9891991Z SHM_SIZE: 2g 2025-09-07T09:24:42.9892676Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:24:42.9893430Z XLA_CUDA: 2025-09-07T09:24:42.9893687Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T09:24:42.9894018Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T09:24:42.9894245Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T09:24:42.9895221Z 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 2025-09-07T09:24:42.9896362Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T09:24:42.9896666Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T09:24:42.9896972Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T09:24:42.9897368Z ARTIFACTS_FILE_SUFFIX: test-inductor_huggingface_perf_cuda_h100-2-5-linux.aws.h100_49775781824 2025-09-07T09:24:42.9897772Z ##[endgroup] 2025-09-07T09:24:43.0277633Z + [[ inductor_huggingface_perf_cuda_h100 == \m\u\l\t\i\g\p\u ]] 2025-09-07T09:24:43.0278059Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *onnx* ]] 2025-09-07T09:24:43.0278398Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T09:24:43.0280580Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T09:24:43.0290369Z + TOTAL_AVAILABLE_MEMORY_IN_GB='1998.949 ' 2025-09-07T09:24:43.0290649Z + TOTAL_MEMORY_WITH_SWAP=2001 2025-09-07T09:24:43.0290949Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *\s\3\9\0\x* ]] 2025-09-07T09:24:43.0291257Z + SHM_OPTS=--shm-size=2g 2025-09-07T09:24:43.0291489Z + JENKINS_USER='--user jenkins' 2025-09-07T09:24:43.0291721Z + DOCKER_SHELL_CMD= 2025-09-07T09:24:43.0299026Z +++ nproc --ignore=2 2025-09-07T09:24:43.0313715Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e SCCACHE_SERVER_PORT=5231 -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/eve/_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 2025-09-07T09:31:26.1865278Z + container_name=05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T09:31:26.1867499Z + grep download.pytorch.org /etc/hosts 2025-09-07T09:31:26.1869677Z + docker exec -i 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T09:31:26.2355319Z + echo DOCKER_CONTAINER_ID=05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T09:31:26.2357551Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *\s\3\9\0\x* ]] 2025-09-07T09:31:26.2360363Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T09:31:26.2363143Z + docker exec -t 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T09:31:26.6304477Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T09:31:26.9577134Z 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) 2025-09-07T09:31:26.9580430Z 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) 2025-09-07T09:31:26.9584647Z 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) 2025-09-07T09:31:26.9588759Z 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) 2025-09-07T09:31:26.9592230Z 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) 2025-09-07T09:31:26.9595936Z 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) 2025-09-07T09:31:26.9608041Z 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) 2025-09-07T09:31:26.9931236Z 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) 2025-09-07T09:31:26.9948282Z 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) 2025-09-07T09:31:26.9980660Z 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) 2025-09-07T09:31:27.7932908Z Installing collected packages: torch 2025-09-07T09:31:40.1739712Z 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. 2025-09-07T09:31:40.1741176Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T09:31:40.1741611Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T09:31:40.1742075Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-09-07T09:31:40.1742651Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T09:31:40.1743506Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T09:31:40.1744124Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T09:31:40.1745275Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T09:31:40.2445655Z + export TERM=vt100 2025-09-07T09:31:40.2445888Z + TERM=vt100 2025-09-07T09:31:40.2449326Z ++ dirname .ci/pytorch/test.sh 2025-09-07T09:31:40.2461923Z + source .ci/pytorch/common.sh 2025-09-07T09:31:40.2466646Z +++ dirname .ci/pytorch/common.sh 2025-09-07T09:31:40.2474991Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T09:31:40.2476216Z +++ declare -f -t trap_add 2025-09-07T09:31:40.2479890Z ++ set -ex -o pipefail 2025-09-07T09:31:40.2480151Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T09:31:40.2480592Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T09:31:40.2485017Z ++ dirname .ci/pytorch/test.sh 2025-09-07T09:31:40.2495560Z + source .ci/pytorch/common-build.sh 2025-09-07T09:31:40.2497052Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *win-* ]] 2025-09-07T09:31:40.2505344Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T09:31:40.2513895Z +++ cd .ci/pytorch 2025-09-07T09:31:40.2514516Z +++ pwd -P 2025-09-07T09:31:40.2516835Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T09:31:40.2517255Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-pch* ]] 2025-09-07T09:31:40.2517566Z ++ which sccache 2025-09-07T09:31:40.2533017Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T09:31:40.2533308Z ++ sccache --stop-server 2025-09-07T09:31:40.2561589Z ++ true 2025-09-07T09:31:40.2561801Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T09:31:40.2572651Z ++ trap_add sccache_epilogue EXIT 2025-09-07T09:31:40.2572915Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T09:31:40.2573144Z ++ shift 2025-09-07T09:31:40.2573320Z ++ for trap_add_name in "$@" 2025-09-07T09:31:40.2581192Z ++++ trap -p EXIT 2025-09-07T09:31:40.2583519Z +++ eval 'extract_trap_cmd ' 2025-09-07T09:31:40.2583752Z ++++ extract_trap_cmd 2025-09-07T09:31:40.2583952Z ++++ printf '%s\n' '' 2025-09-07T09:31:40.2584168Z +++ printf '%s\n' sccache_epilogue 2025-09-07T09:31:40.2586754Z ++ trap -- ' 2025-09-07T09:31:40.2586961Z sccache_epilogue' EXIT 2025-09-07T09:31:40.2587159Z ++ [[ -n 1 ]] 2025-09-07T09:31:40.2587475Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T09:31:40.2587975Z Skipping sccache server initialization, setting environment variables 2025-09-07T09:31:40.2588352Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:31:40.2588586Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:31:40.2588868Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:31:40.2589237Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:31:40.2589572Z ++ export RUST_LOG=sccache::server=error 2025-09-07T09:31:40.2589827Z ++ RUST_LOG=sccache::server=error 2025-09-07T09:31:40.2590063Z ++ sccache --zero-stats 2025-09-07T09:31:40.4373336Z Statistics zeroed. 2025-09-07T09:31:40.4382558Z ++ which ccache 2025-09-07T09:31:40.4399300Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *rocm* ]] 2025-09-07T09:31:40.4399706Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *s390x* ]] 2025-09-07T09:31:40.4400113Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T09:31:40.4403845Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T09:31:40.4415840Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T09:31:40.4416118Z + trap_add cleanup_workspace EXIT 2025-09-07T09:31:40.4416379Z + trap_add_cmd=cleanup_workspace 2025-09-07T09:31:40.4416630Z + shift 2025-09-07T09:31:40.4416817Z + for trap_add_name in "$@" 2025-09-07T09:31:40.4423378Z +++ trap -p EXIT 2025-09-07T09:31:40.4425674Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T09:31:40.4425947Z sccache_epilogue'\'' EXIT' 2025-09-07T09:31:40.4426187Z +++ extract_trap_cmd trap -- ' 2025-09-07T09:31:40.4426428Z sccache_epilogue' EXIT 2025-09-07T09:31:40.4426633Z +++ printf '%s\n' ' 2025-09-07T09:31:40.4426832Z sccache_epilogue' 2025-09-07T09:31:40.4427046Z ++ printf '%s\n' cleanup_workspace 2025-09-07T09:31:40.4428193Z + trap -- ' 2025-09-07T09:31:40.4428384Z sccache_epilogue 2025-09-07T09:31:40.4428588Z cleanup_workspace' EXIT 2025-09-07T09:31:40.4429481Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T09:31:44.0161503Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T09:31:44.0185962Z + echo 'Environment variables:' 2025-09-07T09:31:44.0186408Z Environment variables: 2025-09-07T09:31:44.0186725Z + env 2025-09-07T09:31:44.0199833Z GITHUB_WORKSPACE=/home/eve/_work/pytorch/pytorch 2025-09-07T09:31:44.0200490Z CONTINUE_THROUGH_ERROR=True 2025-09-07T09:31:44.0200971Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:31:44.0204179Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T09:31:44.0204577Z HOSTNAME=05c32e2ae909 2025-09-07T09:31:44.0205183Z GITHUB_PATH=/home/eve/_work/_temp/_runner_file_commands/add_path_6a9c37d7-95df-4d08-b5f5-7398b890b3b3 2025-09-07T09:31:44.0205842Z GITHUB_ACTION=__run_2 2025-09-07T09:31:44.0206166Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T09:31:44.0206505Z GITHUB_RUN_NUMBER=662 2025-09-07T09:31:44.0206856Z TEST_CONFIG=inductor_huggingface_perf_cuda_h100 2025-09-07T09:31:44.0207361Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T09:31:44.0207759Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T09:31:44.0208124Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:31:44.0208621Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T09:31:44.0209017Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T09:31:44.0209420Z GITHUB_REF_TYPE=branch 2025-09-07T09:31:44.0209758Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:31:44.0210167Z XLA_CUDA= 2025-09-07T09:31:44.0210692Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T09:31:44.0211244Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T09:31:44.0211772Z *** 2025-09-07T09:31:44.0212026Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T09:31:44.0212380Z GITHUB_ACTIONS=true 2025-09-07T09:31:44.0212692Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:31:44.0213126Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:31:44.0213618Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:31:44.0214095Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:31:44.0214959Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-h100.yml@refs/heads/main 2025-09-07T09:31:44.0215666Z UCC_HOME=/usr 2025-09-07T09:31:44.0215914Z VERBOSE_TEST_LOGS=False 2025-09-07T09:31:44.0216201Z GITHUB_REF=refs/heads/main 2025-09-07T09:31:44.0216490Z SHARD_NUMBER=2 2025-09-07T09:31:44.0216751Z GITHUB_REF_PROTECTED=true 2025-09-07T09:31:44.0217019Z HOME=/var/lib/jenkins 2025-09-07T09:31:44.0217277Z SCCACHE_SERVER_PORT=5231 2025-09-07T09:31:44.0217584Z GITHUB_API_URL=https://api.github.com 2025-09-07T09:31:44.0217957Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T09:31:44.0218352Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T09:31:44.0218754Z USE_SYSTEM_NCCL=1 2025-09-07T09:31:44.0219028Z NUM_TEST_SHARDS=5 2025-09-07T09:31:44.0219280Z UCX_HOME=/usr 2025-09-07T09:31:44.0219810Z GITHUB_STATE=/home/eve/_work/_temp/_runner_file_commands/save_state_6a9c37d7-95df-4d08-b5f5-7398b890b3b3 2025-09-07T09:31:44.0220920Z JOB_NAME=test-weekly / test (inductor_huggingface_perf_cuda_h100, 2, 5, linux.aws.h100) 2025-09-07T09:31:44.0221771Z GITHUB_ENV=/home/eve/_work/_temp/_runner_file_commands/set_env_6a9c37d7-95df-4d08-b5f5-7398b890b3b3 2025-09-07T09:31:44.0222611Z GITHUB_EVENT_PATH=/home/eve/_work/_temp/_github_workflow/event.json 2025-09-07T09:31:44.0223272Z GITHUB_EVENT_NAME=schedule 2025-09-07T09:31:44.0224953Z 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 2025-09-07T09:31:44.0226685Z GITHUB_RUN_ID=17525296438 2025-09-07T09:31:44.0227025Z INSTALLED_OPENBLAS= 2025-09-07T09:31:44.0227720Z GITHUB_STEP_SUMMARY=/home/eve/_work/_temp/_runner_file_commands/step_summary_6a9c37d7-95df-4d08-b5f5-7398b890b3b3 2025-09-07T09:31:44.0228505Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T09:31:44.0228852Z PR_NUMBER= 2025-09-07T09:31:44.0229121Z DESIRED_CUDA=12.8.1 2025-09-07T09:31:44.0230449Z GITHUB_RUN_ATTEMPT=1 2025-09-07T09:31:44.0230806Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T09:31:44.0231258Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T09:31:44.0231711Z TERM=vt100 2025-09-07T09:31:44.0231979Z INSTALLED_VISION=yes 2025-09-07T09:31:44.0232266Z BRANCH=main 2025-09-07T09:31:44.0232545Z SCCACHE_REGION=us-east-1 2025-09-07T09:31:44.0232872Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T09:31:44.0233210Z CUDA_PATH=/usr/local/cuda 2025-09-07T09:31:44.0233718Z GITHUB_ACTION_PATH=/home/eve/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T09:31:44.0234333Z GITHUB_SERVER_URL=https://github.com 2025-09-07T09:31:44.0234794Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T09:31:44.0235200Z REENABLED_ISSUES= 2025-09-07T09:31:44.0235447Z DOCS= 2025-09-07T09:31:44.0235678Z SHLVL=1 2025-09-07T09:31:44.0235915Z MAX_JOBS=22 2025-09-07T09:31:44.0236178Z GITHUB_ACTOR_ID=97764156 2025-09-07T09:31:44.0236593Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:31:44.0237049Z GITHUB_REF_NAME=main 2025-09-07T09:31:44.0237493Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T09:31:44.0238006Z GITHUB_JOB=test 2025-09-07T09:31:44.0238270Z NO_TEST_TIMEOUT=False 2025-09-07T09:31:44.0238569Z TD_DISTRIBUTED=False 2025-09-07T09:31:44.0238887Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T09:31:44.0239246Z GITHUB_RETENTION_DAYS=90 2025-09-07T09:31:44.0239557Z OPENSSL_DIR=/opt/openssl 2025-09-07T09:31:44.0239876Z GITHUB_ACTION_REPOSITORY= 2025-09-07T09:31:44.0241061Z 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 2025-09-07T09:31:44.0242065Z GITHUB_BASE_REF= 2025-09-07T09:31:44.0242335Z INSTALLED_ACL= 2025-09-07T09:31:44.0242899Z ARTIFACTS_FILE_SUFFIX=test-inductor_huggingface_perf_cuda_h100-2-5-linux.aws.h100_49775781824 2025-09-07T09:31:44.0243545Z CI=true 2025-09-07T09:31:44.0243825Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T09:31:44.0244219Z RUST_LOG=sccache::server=error 2025-09-07T09:31:44.0244552Z JOB_ID=49775781824 2025-09-07T09:31:44.0244819Z GITHUB_HEAD_REF= 2025-09-07T09:31:44.0245090Z GITHUB_ACTION_REF= 2025-09-07T09:31:44.0245436Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T09:31:44.0245868Z TEST_SHOWLOCALS=False 2025-09-07T09:31:44.0246212Z GITHUB_WORKFLOW=inductor-perf-nightly-h100 2025-09-07T09:31:44.0246639Z DEBIAN_FRONTEND=noninteractive 2025-09-07T09:31:44.0247300Z GITHUB_OUTPUT=/home/eve/_work/_temp/_runner_file_commands/set_output_6a9c37d7-95df-4d08-b5f5-7398b890b3b3 2025-09-07T09:31:44.0247980Z NO_TD=False 2025-09-07T09:31:44.0248275Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T09:31:44.0248642Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T09:31:44.0249014Z _=/usr/bin/env 2025-09-07T09:31:44.0249420Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T09:31:44.0491224Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-09-07T09:31:44.0492160Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-09-07T09:31:44.0492932Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-09-07T09:31:44.0493707Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-09-07T09:31:44.0494295Z + BUILD_DIR=build 2025-09-07T09:31:44.0494614Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T09:31:44.0494983Z + BUILD_BIN_DIR=build/bin 2025-09-07T09:31:44.0495303Z + SHARD_NUMBER=2 2025-09-07T09:31:44.0495576Z + NUM_TEST_SHARDS=5 2025-09-07T09:31:44.0495887Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:31:44.0496278Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:31:44.0496629Z + export VALGRIND=ON 2025-09-07T09:31:44.0496920Z + VALGRIND=ON 2025-09-07T09:31:44.0497297Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *clang9* ]] 2025-09-07T09:31:44.0497835Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *xpu* ]] 2025-09-07T09:31:44.0498278Z + detect_cuda_arch 2025-09-07T09:31:44.0499421Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T09:31:44.0499917Z + command -v nvidia-smi 2025-09-07T09:31:44.0500508Z /usr/bin/nvidia-smi 2025-09-07T09:31:44.0500939Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-09-07T09:31:44.0501751Z ++ tail -n 1 2025-09-07T09:31:44.0734864Z + TORCH_CUDA_ARCH_LIST=9.0 2025-09-07T09:31:44.0735195Z + export TORCH_CUDA_ARCH_LIST 2025-09-07T09:31:44.0735542Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *s390x* ]] 2025-09-07T09:31:44.0735876Z + [[ 0 == \1 ]] 2025-09-07T09:31:44.0736082Z + [[ True == \1 ]] 2025-09-07T09:31:44.0736368Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *bazel* ]] 2025-09-07T09:31:44.0741831Z ++ realpath build/custom_test_artifacts 2025-09-07T09:31:44.0754171Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T09:31:44.0754677Z + [[ -n '' ]] 2025-09-07T09:31:44.0754915Z + echo 'Environment variables' 2025-09-07T09:31:44.0755182Z Environment variables 2025-09-07T09:31:44.0755431Z + env 2025-09-07T09:31:44.0764571Z GITHUB_WORKSPACE=/home/eve/_work/pytorch/pytorch 2025-09-07T09:31:44.0764907Z CONTINUE_THROUGH_ERROR=True 2025-09-07T09:31:44.0765238Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:31:44.0765861Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T09:31:44.0766137Z HOSTNAME=05c32e2ae909 2025-09-07T09:31:44.0766593Z GITHUB_PATH=/home/eve/_work/_temp/_runner_file_commands/add_path_6a9c37d7-95df-4d08-b5f5-7398b890b3b3 2025-09-07T09:31:44.0767110Z GITHUB_ACTION=__run_2 2025-09-07T09:31:44.0767347Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T09:31:44.0767620Z GITHUB_RUN_NUMBER=662 2025-09-07T09:31:44.0767885Z TEST_CONFIG=inductor_huggingface_perf_cuda_h100 2025-09-07T09:31:44.0768221Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T09:31:44.0768616Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T09:31:44.0768923Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:31:44.0769301Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T09:31:44.0769597Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T09:31:44.0769903Z GITHUB_REF_TYPE=branch 2025-09-07T09:31:44.0770145Z TORCH_CUDA_ARCH_LIST=9.0 2025-09-07T09:31:44.0770608Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:31:44.0770916Z XLA_CUDA= 2025-09-07T09:31:44.0771124Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T09:31:44.0771506Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T09:31:44.0772036Z *** 2025-09-07T09:31:44.0772230Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T09:31:44.0772618Z GITHUB_ACTIONS=true 2025-09-07T09:31:44.0772889Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:31:44.0773280Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:31:44.0773789Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:31:44.0774154Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:31:44.0774779Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-h100.yml@refs/heads/main 2025-09-07T09:31:44.0775303Z UCC_HOME=/usr 2025-09-07T09:31:44.0775509Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:31:44.0775737Z VERBOSE_TEST_LOGS=False 2025-09-07T09:31:44.0775953Z GITHUB_REF=refs/heads/main 2025-09-07T09:31:44.0776172Z SHARD_NUMBER=2 2025-09-07T09:31:44.0776360Z GITHUB_REF_PROTECTED=true 2025-09-07T09:31:44.0776582Z HOME=/var/lib/jenkins 2025-09-07T09:31:44.0776793Z SCCACHE_SERVER_PORT=5231 2025-09-07T09:31:44.0777040Z GITHUB_API_URL=https://api.github.com 2025-09-07T09:31:44.0777328Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T09:31:44.0777625Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T09:31:44.0777917Z USE_SYSTEM_NCCL=1 2025-09-07T09:31:44.0778111Z NUM_TEST_SHARDS=5 2025-09-07T09:31:44.0778290Z UCX_HOME=/usr 2025-09-07T09:31:44.0778700Z GITHUB_STATE=/home/eve/_work/_temp/_runner_file_commands/save_state_6a9c37d7-95df-4d08-b5f5-7398b890b3b3 2025-09-07T09:31:44.0779341Z JOB_NAME=test-weekly / test (inductor_huggingface_perf_cuda_h100, 2, 5, linux.aws.h100) 2025-09-07T09:31:44.0780574Z GITHUB_ENV=/home/eve/_work/_temp/_runner_file_commands/set_env_6a9c37d7-95df-4d08-b5f5-7398b890b3b3 2025-09-07T09:31:44.0781402Z GITHUB_EVENT_PATH=/home/eve/_work/_temp/_github_workflow/event.json 2025-09-07T09:31:44.0781767Z GITHUB_EVENT_NAME=schedule 2025-09-07T09:31:44.0783008Z 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 2025-09-07T09:31:44.0784160Z GITHUB_RUN_ID=17525296438 2025-09-07T09:31:44.0784396Z INSTALLED_OPENBLAS= 2025-09-07T09:31:44.0784846Z GITHUB_STEP_SUMMARY=/home/eve/_work/_temp/_runner_file_commands/step_summary_6a9c37d7-95df-4d08-b5f5-7398b890b3b3 2025-09-07T09:31:44.0785322Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T09:31:44.0785518Z PR_NUMBER= 2025-09-07T09:31:44.0785673Z DESIRED_CUDA=12.8.1 2025-09-07T09:31:44.0785841Z GITHUB_RUN_ATTEMPT=1 2025-09-07T09:31:44.0786017Z VALGRIND=ON 2025-09-07T09:31:44.0786176Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T09:31:44.0786428Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T09:31:44.0786684Z TERM=vt100 2025-09-07T09:31:44.0786839Z INSTALLED_VISION=yes 2025-09-07T09:31:44.0787034Z BRANCH=main 2025-09-07T09:31:44.0787196Z SCCACHE_REGION=us-east-1 2025-09-07T09:31:44.0787393Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T09:31:44.0787593Z CUDA_PATH=/usr/local/cuda 2025-09-07T09:31:44.0787914Z GITHUB_ACTION_PATH=/home/eve/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T09:31:44.0788273Z GITHUB_SERVER_URL=https://github.com 2025-09-07T09:31:44.0788531Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T09:31:44.0788785Z REENABLED_ISSUES= 2025-09-07T09:31:44.0788939Z DOCS= 2025-09-07T09:31:44.0789077Z SHLVL=1 2025-09-07T09:31:44.0789222Z MAX_JOBS=22 2025-09-07T09:31:44.0789372Z GITHUB_ACTOR_ID=97764156 2025-09-07T09:31:44.0789619Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:31:44.0789896Z GITHUB_REF_NAME=main 2025-09-07T09:31:44.0790174Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T09:31:44.0790656Z GITHUB_JOB=test 2025-09-07T09:31:44.0790818Z NO_TEST_TIMEOUT=False 2025-09-07T09:31:44.0790994Z TD_DISTRIBUTED=False 2025-09-07T09:31:44.0791177Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T09:31:44.0791395Z GITHUB_RETENTION_DAYS=90 2025-09-07T09:31:44.0791583Z OPENSSL_DIR=/opt/openssl 2025-09-07T09:31:44.0791769Z GITHUB_ACTION_REPOSITORY= 2025-09-07T09:31:44.0792359Z 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 2025-09-07T09:31:44.0792971Z GITHUB_BASE_REF= 2025-09-07T09:31:44.0793129Z INSTALLED_ACL= 2025-09-07T09:31:44.0793470Z ARTIFACTS_FILE_SUFFIX=test-inductor_huggingface_perf_cuda_h100-2-5-linux.aws.h100_49775781824 2025-09-07T09:31:44.0793857Z CI=true 2025-09-07T09:31:44.0794015Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T09:31:44.0794246Z RUST_LOG=sccache::server=error 2025-09-07T09:31:44.0794449Z JOB_ID=49775781824 2025-09-07T09:31:44.0794616Z GITHUB_HEAD_REF= 2025-09-07T09:31:44.0794769Z GITHUB_ACTION_REF= 2025-09-07T09:31:44.0794975Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T09:31:44.0795236Z TEST_SHOWLOCALS=False 2025-09-07T09:31:44.0795442Z GITHUB_WORKFLOW=inductor-perf-nightly-h100 2025-09-07T09:31:44.0795696Z DEBIAN_FRONTEND=noninteractive 2025-09-07T09:31:44.0796096Z GITHUB_OUTPUT=/home/eve/_work/_temp/_runner_file_commands/set_output_6a9c37d7-95df-4d08-b5f5-7398b890b3b3 2025-09-07T09:31:44.0796505Z NO_TD=False 2025-09-07T09:31:44.0796668Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T09:31:44.0796891Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T09:31:44.0797108Z _=/usr/bin/env 2025-09-07T09:31:44.0797270Z + echo 'Testing pytorch' 2025-09-07T09:31:44.0797453Z Testing pytorch 2025-09-07T09:31:44.0797627Z + export LANG=C.UTF-8 2025-09-07T09:31:44.0797791Z + LANG=C.UTF-8 2025-09-07T09:31:44.0797947Z + PR_NUMBER= 2025-09-07T09:31:44.0798180Z + [[ inductor_huggingface_perf_cuda_h100 == \d\e\f\a\u\l\t ]] 2025-09-07T09:31:44.0798837Z + [[ inductor_huggingface_perf_cuda_h100 == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T09:31:44.0799188Z + [[ inductor_huggingface_perf_cuda_h100 == \s\l\o\w ]] 2025-09-07T09:31:44.0799528Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *slow-gradcheck* ]] 2025-09-07T09:31:44.0799872Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T09:31:44.0800158Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T09:31:44.0800567Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T09:31:44.0800853Z + [[ inductor_huggingface_perf_cuda_h100 == *crossref* ]] 2025-09-07T09:31:44.0801159Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T09:31:44.0801450Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *xpu* ]] 2025-09-07T09:31:44.0801740Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *-bazel-* ]] 2025-09-07T09:31:44.0802009Z + pip_install ninja==1.10.2 2025-09-07T09:31:44.0802270Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T09:31:44.0802614Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T09:31:44.8517323Z Collecting ninja==1.10.2 2025-09-07T09:31:44.8889056Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T09:31:45.6429874Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T09:31:47.4794553Z Installing collected packages: ninja 2025-09-07T09:31:47.4794883Z Attempting uninstall: ninja 2025-09-07T09:31:47.4803561Z Found existing installation: ninja 1.11.1.3 2025-09-07T09:31:47.4825802Z Uninstalling ninja-1.11.1.3: 2025-09-07T09:31:48.1476139Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T09:31:49.0553396Z Successfully installed ninja-1.10.2 2025-09-07T09:31:49.1507809Z + 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 2025-09-07T09:31:49.1509113Z + 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 2025-09-07T09:31:49.1509890Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *aarch64* ]] 2025-09-07T09:31:49.1510396Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *asan* ]] 2025-09-07T09:31:49.1510740Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-debug* ]] 2025-09-07T09:31:49.1511062Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *-bazel-* ]] 2025-09-07T09:31:49.1511501Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm90. Expect the assertion to pass' 2025-09-07T09:31:49.1512072Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm90. Expect the assertion to pass 2025-09-07T09:31:49.1514138Z + cd test 2025-09-07T09:31:49.1524222Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T09:31:49.7437750Z /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. 2025-09-07T09:31:49.7439026Z import pynvml # type: ignore[import] 2025-09-07T09:31:50.7664798Z + [[ inductor_huggingface_perf_cuda_h100 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T09:31:50.7665319Z + [[ inductor_huggingface_perf_cuda_h100 == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T09:31:50.7665799Z + [[ inductor_huggingface_perf_cuda_h100 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T09:31:50.7667128Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T09:31:50.7668614Z + [[ inductor_huggingface_perf_cuda_h100 == *pr_time_benchmarks* ]] 2025-09-07T09:31:50.7669015Z + [[ inductor_huggingface_perf_cuda_h100 == *dynamo_eager* ]] 2025-09-07T09:31:50.7669422Z + [[ inductor_huggingface_perf_cuda_h100 == *aot_eager* ]] 2025-09-07T09:31:50.7670765Z + [[ inductor_huggingface_perf_cuda_h100 == *aot_inductor* ]] 2025-09-07T09:31:50.7671463Z + [[ inductor_huggingface_perf_cuda_h100 == *max_autotune_inductor* ]] 2025-09-07T09:31:50.7671851Z + [[ inductor_huggingface_perf_cuda_h100 == *inductor* ]] 2025-09-07T09:31:50.7672188Z + [[ inductor_huggingface_perf_cuda_h100 != *perf* ]] 2025-09-07T09:31:50.7672515Z + [[ inductor_huggingface_perf_cuda_h100 == *dynamic* ]] 2025-09-07T09:31:50.7672832Z + [[ inductor_huggingface_perf_cuda_h100 == *cpu* ]] 2025-09-07T09:31:50.7673144Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-09-07T09:31:50.7685874Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *libtorch* ]] 2025-09-07T09:31:50.7686235Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-bazel-* ]] 2025-09-07T09:31:50.7690696Z + cd test 2025-09-07T09:31:50.7691254Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T09:31:51.3172651Z /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. 2025-09-07T09:31:51.3173945Z import pynvml # type: ignore[import] 2025-09-07T09:31:53.1018807Z PyTorch built with: 2025-09-07T09:31:53.1019077Z - GCC 9.5 2025-09-07T09:31:53.1019259Z - C++ Version: 201703 2025-09-07T09:31:53.1019716Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T09:31:53.1020694Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T09:31:53.1021048Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T09:31:53.1021316Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T09:31:53.1021576Z - NNPACK is enabled 2025-09-07T09:31:53.1021779Z - CPU capability usage: AVX2 2025-09-07T09:31:53.1021999Z - CUDA Runtime 12.8 2025-09-07T09:31:53.1022290Z - NVCC architecture flags: -gencode;arch=compute_90,code=sm_90 2025-09-07T09:31:53.1022653Z - CuDNN 90.8 2025-09-07T09:31:53.1026569Z - 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, 2025-09-07T09:31:53.1033053Z 2025-09-07T09:31:53.8990727Z + cd test 2025-09-07T09:31:53.8991058Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T09:31:54.4426254Z /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. 2025-09-07T09:31:54.4428033Z import pynvml # type: ignore[import] 2025-09-07T09:31:55.1572388Z ATen/Parallel: 2025-09-07T09:31:55.1572647Z at::get_num_threads() : 24 2025-09-07T09:31:55.1572903Z at::get_num_interop_threads() : 96 2025-09-07T09:31:55.1573160Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T09:31:55.1574166Z omp_get_max_threads() : 24 2025-09-07T09:31:55.1574654Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T09:31:55.1575168Z mkl_get_max_threads() : 24 2025-09-07T09:31:55.1575485Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T09:31:55.1575845Z std::thread::hardware_concurrency() : 192 2025-09-07T09:31:55.1576134Z Environment variables: 2025-09-07T09:31:55.1576345Z OMP_NUM_THREADS : [not set] 2025-09-07T09:31:55.1576564Z MKL_NUM_THREADS : [not set] 2025-09-07T09:31:55.1576781Z ATen parallel backend: OpenMP 2025-09-07T09:31:55.1576938Z 2025-09-07T09:31:55.4235781Z + [[ inductor_huggingface_perf_cuda_h100 == *numpy_2* ]] 2025-09-07T09:31:55.4236203Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *aarch64* ]] 2025-09-07T09:31:55.4236593Z + [[ inductor_huggingface_perf_cuda_h100 == *backward* ]] 2025-09-07T09:31:55.4236948Z + [[ inductor_huggingface_perf_cuda_h100 == *xla* ]] 2025-09-07T09:31:55.4237321Z + [[ inductor_huggingface_perf_cuda_h100 == *vllm* ]] 2025-09-07T09:31:55.4237691Z + [[ inductor_huggingface_perf_cuda_h100 == *executorch* ]] 2025-09-07T09:31:55.4238104Z + [[ inductor_huggingface_perf_cuda_h100 == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T09:31:55.4238524Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *libtorch* ]] 2025-09-07T09:31:55.4238905Z + [[ inductor_huggingface_perf_cuda_h100 == distributed ]] 2025-09-07T09:31:55.4239305Z + [[ inductor_huggingface_perf_cuda_h100 == *operator_benchmark* ]] 2025-09-07T09:31:55.4239753Z + [[ inductor_huggingface_perf_cuda_h100 == *inductor_distributed* ]] 2025-09-07T09:31:55.4240194Z + [[ inductor_huggingface_perf_cuda_h100 == *inductor-halide* ]] 2025-09-07T09:31:55.4240927Z + [[ inductor_huggingface_perf_cuda_h100 == *inductor-triton-cpu* ]] 2025-09-07T09:31:55.4241402Z + [[ inductor_huggingface_perf_cuda_h100 == *inductor-micro-benchmark* ]] 2025-09-07T09:31:55.4241842Z + [[ inductor_huggingface_perf_cuda_h100 == *huggingface* ]] 2025-09-07T09:31:55.4242170Z + install_torchvision 2025-09-07T09:31:55.4242387Z + local orig_preload 2025-09-07T09:31:55.4242592Z + local commit 2025-09-07T09:31:55.4242797Z ++ get_pinned_commit vision 2025-09-07T09:31:55.4243041Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T09:31:55.4257470Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T09:31:55.4257756Z + orig_preload= 2025-09-07T09:31:55.4258088Z + '[' -n '' ']' 2025-09-07T09:31:55.4258375Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T09:31:55.4258701Z + export FORCE_CUDA=1 2025-09-07T09:31:55.4258910Z + FORCE_CUDA=1 2025-09-07T09:31:55.4259104Z + export WITH_CUDA=1 2025-09-07T09:31:55.4259290Z + WITH_CUDA=1 2025-09-07T09:31:55.4259783Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T09:31:55.4260676Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T09:31:55.4261158Z + local wheel_dir=dist/vision 2025-09-07T09:31:55.4261383Z + local found_whl=0 2025-09-07T09:31:55.4261583Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:31:55.4261960Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T09:31:55.4262342Z + found_whl=1 2025-09-07T09:31:55.4262506Z + break 2025-09-07T09:31:55.4262667Z + '[' 1 == 0 ']' 2025-09-07T09:31:55.4262946Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:31:55.4263355Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:31:55.4263898Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl') 2025-09-07T09:31:55.4264264Z + local args 2025-09-07T09:31:55.4264597Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T09:31:55.4265007Z + for path in "${args[@]}" 2025-09-07T09:31:55.4265394Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl' 2025-09-07T09:31:55.4266257Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:31:55.4267078Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:31:55.7710790Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:31:55.7799230Z Installing collected packages: torchvision 2025-09-07T09:31:56.2726563Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T09:31:56.3080036Z + '[' -n '' ']' 2025-09-07T09:31:56.3080886Z + id=1 2025-09-07T09:31:56.3081217Z + test_dynamo_benchmark huggingface 1 2025-09-07T09:31:56.3085965Z ++ pwd 2025-09-07T09:31:56.3087941Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:31:56.3088539Z + local suite=huggingface 2025-09-07T09:31:56.3088752Z + shift 2025-09-07T09:31:56.3088924Z + local shard_id=1 2025-09-07T09:31:56.3089107Z + shift 2025-09-07T09:31:56.3089338Z + [[ inductor_huggingface_perf_cuda_h100 == *perf_compare* ]] 2025-09-07T09:31:56.3089735Z + [[ inductor_huggingface_perf_cuda_h100 == *perf* ]] 2025-09-07T09:31:56.3090054Z + [[ inductor_huggingface_perf_cuda_h100 == *b200* ]] 2025-09-07T09:31:56.3090568Z + test_single_dynamo_benchmark dashboard huggingface 1 2025-09-07T09:31:56.3091916Z ++ pwd 2025-09-07T09:31:56.3093877Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:31:56.3094269Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:31:56.3116847Z + local name=dashboard 2025-09-07T09:31:56.3117118Z + shift 2025-09-07T09:31:56.3117312Z + local suite=huggingface 2025-09-07T09:31:56.3117537Z + shift 2025-09-07T09:31:56.3117719Z + local shard_id=1 2025-09-07T09:31:56.3117920Z + shift 2025-09-07T09:31:56.3118111Z + partition_flags=() 2025-09-07T09:31:56.3118334Z + local partition_flags 2025-09-07T09:31:56.3118555Z + [[ -n 5 ]] 2025-09-07T09:31:56.3118729Z + [[ -n 1 ]] 2025-09-07T09:31:56.3119101Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T09:31:56.3119579Z + [[ inductor_huggingface_perf_cuda_h100 == *perf_compare* ]] 2025-09-07T09:31:56.3119916Z + [[ inductor_huggingface_perf_cuda_h100 == *perf* ]] 2025-09-07T09:31:56.3120530Z + test_perf_for_dashboard huggingface --device cuda --total-partitions 5 --partition-id 1 2025-09-07T09:31:56.3121484Z ++ pwd 2025-09-07T09:31:56.3124145Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:31:56.3124647Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:31:56.3139686Z + local suite=huggingface 2025-09-07T09:31:56.3139891Z + shift 2025-09-07T09:31:56.3140054Z + local backend=inductor 2025-09-07T09:31:56.3140393Z + modes=() 2025-09-07T09:31:56.3140550Z + local modes 2025-09-07T09:31:56.3141572Z + [[ 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* ]] 2025-09-07T09:31:56.3142687Z + modes+=(training) 2025-09-07T09:31:56.3143746Z + [[ 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* ]] 2025-09-07T09:31:56.3144801Z + modes+=(inference) 2025-09-07T09:31:56.3145003Z + targets=('accuracy' 'performance') 2025-09-07T09:31:56.3145226Z + local targets 2025-09-07T09:31:56.3145409Z + local device=cuda 2025-09-07T09:31:56.3145629Z + [[ inductor_huggingface_perf_cuda_h100 == *cpu* ]] 2025-09-07T09:31:56.3145946Z + [[ inductor_huggingface_perf_cuda_h100 == *cuda_a10g* ]] 2025-09-07T09:31:56.3146256Z + [[ inductor_huggingface_perf_cuda_h100 == *h100* ]] 2025-09-07T09:31:56.3146504Z + device=cuda_h100 2025-09-07T09:31:56.3146686Z + for mode in "${modes[@]}" 2025-09-07T09:31:56.3146895Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:31:56.3147124Z + [[ training == \t\r\a\i\n\i\n\g ]] 2025-09-07T09:31:56.3148043Z + dtype=amp 2025-09-07T09:31:56.3148248Z + for target in "${targets[@]}" 2025-09-07T09:31:56.3148499Z + target_flag=('--accuracy') 2025-09-07T09:31:56.3148731Z + local target_flag 2025-09-07T09:31:56.3148955Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T09:31:56.3149221Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T09:31:56.3149498Z + target_flag+=(--no-translation-validation) 2025-09-07T09:31:56.3150859Z + [[ 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* ]] 2025-09-07T09:31:56.3152941Z + [[ 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* ]] 2025-09-07T09:31:56.3155201Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.csv 2025-09-07T09:31:57.4315880Z /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. 2025-09-07T09:31:57.4317178Z import pynvml # type: ignore[import] 2025-09-07T09:32:00.6485669Z /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. 2025-09-07T09:32:00.6487911Z from pkg_resources import resource_filename 2025-09-07T09:32:01.0402656Z 2025-09-07T09:32:01.0403029Z config.json: 0% 0.00/694 [00:00 will be ignored 2025-09-07T09:33:43.1190908Z pass 2025-09-07T09:33:48.5316474Z /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. 2025-09-07T09:33:48.5317819Z import pynvml # type: ignore[import] 2025-09-07T09:33:51.7177254Z /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. 2025-09-07T09:33:51.7179690Z from pkg_resources import resource_filename 2025-09-07T09:33:52.4189623Z 2025-09-07T09:34:03.2276514Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:34:03.2276861Z loading model: 0it [00:10, ?it/s] 2025-09-07T09:34:03.2277156Z cuda train DebertaV2ForMaskedLM 2025-09-07T09:34:03.2693817Z pass_due_to_skip 2025-09-07T09:34:05.7164858Z /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. 2025-09-07T09:34:05.7166360Z import pynvml # type: ignore[import] 2025-09-07T09:34:08.8833737Z /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. 2025-09-07T09:34:08.8835474Z from pkg_resources import resource_filename 2025-09-07T09:34:09.5511612Z 2025-09-07T09:34:18.6349037Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:34:18.6349508Z loading model: 0it [00:09, ?it/s] 2025-09-07T09:34:18.6349926Z cuda train DebertaV2ForQuestionAnswering 2025-09-07T09:35:11.0892332Z pass 2025-09-07T09:35:16.4783634Z /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. 2025-09-07T09:35:16.4785026Z import pynvml # type: ignore[import] 2025-09-07T09:35:19.5597114Z /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. 2025-09-07T09:35:19.5598755Z from pkg_resources import resource_filename 2025-09-07T09:35:20.2562951Z 2025-09-07T09:35:21.7524743Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:35:21.7525220Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:35:21.7525663Z cuda train DistilBertForMaskedLM 2025-09-07T09:35:37.3297173Z W0907 09:35:37.328000 3470 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:35:52.2033575Z pass 2025-09-07T09:35:56.6757662Z /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. 2025-09-07T09:35:56.6759505Z import pynvml # type: ignore[import] 2025-09-07T09:35:59.8506553Z /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. 2025-09-07T09:35:59.8507865Z from pkg_resources import resource_filename 2025-09-07T09:36:00.6171339Z 2025-09-07T09:36:01.9282555Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:36:01.9283040Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:36:01.9283499Z cuda train DistilBertForQuestionAnswering 2025-09-07T09:36:15.5551814Z W0907 09:36:15.554000 4271 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:36:29.5403201Z pass 2025-09-07T09:36:34.2132438Z /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. 2025-09-07T09:36:34.2133602Z import pynvml # type: ignore[import] 2025-09-07T09:36:37.3026710Z /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. 2025-09-07T09:36:37.3029196Z from pkg_resources import resource_filename 2025-09-07T09:36:38.2982421Z 2025-09-07T09:36:41.3979924Z loading model: 0it [00:00, ?it/s]`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-09-07T09:36:41.3981587Z WARNING:transformers.modeling_utils:`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-09-07T09:36:41.4987152Z 2025-09-07T09:36:41.4987537Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:36:41.4987872Z cuda train DistillGPT2 2025-09-07T09:36:57.2993741Z W0907 09:36:57.298000 4847 site-packages/torch/_logging/_internal.py:1199] [10/0] Profiler function will be ignored 2025-09-07T09:37:08.8067190Z pass 2025-09-07T09:37:13.1235563Z /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. 2025-09-07T09:37:13.1236798Z import pynvml # type: ignore[import] 2025-09-07T09:37:16.5414748Z /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. 2025-09-07T09:37:16.5416367Z from pkg_resources import resource_filename 2025-09-07T09:37:17.2188641Z 2025-09-07T09:37:17.2204792Z loading model: 0it [00:00, ?it/s]If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:37:17.2206044Z WARNING:transformers.models.electra.modeling_electra:If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:37:18.1607392Z 2025-09-07T09:37:18.1607820Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:37:18.1608227Z cuda train ElectraForCausalLM 2025-09-07T09:37:46.6498054Z pass 2025-09-07T09:37:50.1835882Z accuracy pass_rate=88.89% 2025-09-07T09:37:50.1841228Z calls_captured gmean=0.00x mean=560.444x 2025-09-07T09:37:50.1843947Z unique_graphs gmean=0.00x mean=3.000x 2025-09-07T09:37:50.1846930Z graph_breaks gmean=0.00x mean=4.889x 2025-09-07T09:37:50.1850184Z unique_graph_breaks gmean=0.00x mean=3.889x 2025-09-07T09:37:50.1853681Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:37:50.1856716Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:37:50.1859827Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:37:50.1861270Z compilation_latency mean=25.591 seconds 2025-09-07T09:37:51.4191456Z + [[ 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* ]] 2025-09-07T09:37:51.4194908Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 5 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.csv 2025-09-07T09:37:52.4432888Z /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. 2025-09-07T09:37:52.4434263Z import pynvml # type: ignore[import] 2025-09-07T09:37:55.6462110Z /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. 2025-09-07T09:37:55.6463759Z from pkg_resources import resource_filename 2025-09-07T09:37:58.0760966Z /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. 2025-09-07T09:37:58.0762579Z import pynvml # type: ignore[import] 2025-09-07T09:38:01.4578038Z /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. 2025-09-07T09:38:01.4579535Z from pkg_resources import resource_filename 2025-09-07T09:38:02.2630693Z 2025-09-07T09:38:03.9512873Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:38:03.9513203Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:38:03.9513509Z cuda train BlenderbotSmallForCausalLM 2025-09-07T09:38:13.0604123Z 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/blenderbot_small/modeling_blenderbot_small.py", line 95, in forward 2025-09-07T09:38:13.0605257Z return super().forward(position_ids) 2025-09-07T09:38:13.0605465Z 2025-09-07T09:38:13.0605468Z 2025-09-07T09:38:13.7770149Z pass 2025-09-07T09:38:17.6336977Z /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. 2025-09-07T09:38:17.6338379Z import pynvml # type: ignore[import] 2025-09-07T09:38:20.9528979Z /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. 2025-09-07T09:38:20.9530903Z from pkg_resources import resource_filename 2025-09-07T09:38:21.6379840Z 2025-09-07T09:38:23.4326816Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:38:23.4327379Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:38:23.4327936Z cuda train BlenderbotSmallForConditionalGeneration 2025-09-07T09:38:28.9530757Z 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/blenderbot_small/modeling_blenderbot_small.py", line 95, in forward 2025-09-07T09:38:28.9531957Z return super().forward(position_ids) 2025-09-07T09:38:28.9532168Z 2025-09-07T09:38:28.9532171Z 2025-09-07T09:38:34.0631285Z 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/blenderbot_small/modeling_blenderbot_small.py", line 95, in forward 2025-09-07T09:38:34.0632677Z return super().forward(position_ids) 2025-09-07T09:38:34.0632892Z 2025-09-07T09:38:34.0632896Z 2025-09-07T09:38:35.5052875Z pass 2025-09-07T09:38:39.2531764Z /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. 2025-09-07T09:38:39.2533157Z import pynvml # type: ignore[import] 2025-09-07T09:38:42.7778449Z /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. 2025-09-07T09:38:42.7781504Z from pkg_resources import resource_filename 2025-09-07T09:38:43.4467134Z 2025-09-07T09:38:45.7089277Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:38:45.7089612Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:38:45.7089872Z cuda train CamemBert 2025-09-07T09:39:09.0533577Z 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 2025-09-07T09:39:09.0534802Z pred = mod(**cloned_inputs) 2025-09-07T09:39:09.0535506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 1038, in forward 2025-09-07T09:39:09.0536241Z outputs = self.roberta( 2025-09-07T09:39:09.0536930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 886, in forward 2025-09-07T09:39:09.0537711Z embedding_output = self.embeddings( 2025-09-07T09:39:09.0538399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 118, in forward 2025-09-07T09:39:09.0539169Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T09:39:09.0539465Z 2025-09-07T09:39:09.0539469Z 2025-09-07T09:39:09.2741316Z W0907 09:39:09.273000 7004 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:39:37.8072846Z Run failed with return code: -11 2025-09-07T09:39:37.8073186Z Output: None 2025-09-07T09:39:37.8073394Z Error: None 2025-09-07T09:39:38.8745872Z /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. 2025-09-07T09:39:38.8747119Z import pynvml # type: ignore[import] 2025-09-07T09:39:42.0782084Z /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. 2025-09-07T09:39:42.0783498Z from pkg_resources import resource_filename 2025-09-07T09:39:42.7624182Z 2025-09-07T09:39:53.5961375Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:39:53.5961702Z loading model: 0it [00:10, ?it/s] 2025-09-07T09:39:53.5962002Z cuda train DebertaV2ForMaskedLM 2025-09-07T09:39:53.7565676Z pass_due_to_skip 2025-09-07T09:39:56.0599305Z /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. 2025-09-07T09:39:56.0600929Z import pynvml # type: ignore[import] 2025-09-07T09:39:59.1452175Z /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. 2025-09-07T09:39:59.1454501Z from pkg_resources import resource_filename 2025-09-07T09:39:59.8136527Z 2025-09-07T09:40:08.6732939Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:40:08.6733329Z loading model: 0it [00:08, ?it/s] 2025-09-07T09:40:08.6733660Z cuda train DebertaV2ForQuestionAnswering 2025-09-07T09:40:58.7538686Z 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 2025-09-07T09:40:58.7541488Z pred = mod(**cloned_inputs) 2025-09-07T09:40:58.7542801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 1231, in forward 2025-09-07T09:40:58.7544231Z outputs = self.deberta( 2025-09-07T09:40:58.7545118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 778, in forward 2025-09-07T09:40:58.7545989Z embedding_output = self.embeddings( 2025-09-07T09:40:58.7546835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 544, in forward 2025-09-07T09:40:58.7547825Z position_embeddings = self.position_embeddings(position_ids.long()) 2025-09-07T09:40:58.7548229Z 2025-09-07T09:40:58.7548233Z 2025-09-07T09:40:59.4654562Z pass 2025-09-07T09:41:04.8476776Z /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. 2025-09-07T09:41:04.8478481Z import pynvml # type: ignore[import] 2025-09-07T09:41:08.0200767Z /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. 2025-09-07T09:41:08.0203410Z from pkg_resources import resource_filename 2025-09-07T09:41:08.7016358Z 2025-09-07T09:41:10.0639022Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:41:10.0639540Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:41:10.0640015Z cuda train DistilBertForMaskedLM 2025-09-07T09:41:23.3996185Z 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 2025-09-07T09:41:23.3997663Z pred = mod(**cloned_inputs) 2025-09-07T09:41:23.3998541Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward 2025-09-07T09:41:23.3999446Z dlbrt_output = self.distilbert( 2025-09-07T09:41:23.4000807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 723, in forward 2025-09-07T09:41:23.4001884Z embeddings = self.embeddings(input_ids, inputs_embeds) # (bs, seq_length, dim) 2025-09-07T09:41:23.4002950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 124, in forward 2025-09-07T09:41:23.4004068Z position_embeddings = self.position_embeddings(position_ids) # (bs, max_seq_length, dim) 2025-09-07T09:41:23.4004583Z 2025-09-07T09:41:23.4004587Z 2025-09-07T09:41:23.5922142Z W0907 09:41:23.591000 7595 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:41:37.5426930Z Run failed with return code: -11 2025-09-07T09:41:37.5427380Z Output: None 2025-09-07T09:41:37.5427639Z Error: None 2025-09-07T09:41:38.6238333Z /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. 2025-09-07T09:41:38.6240656Z import pynvml # type: ignore[import] 2025-09-07T09:41:41.8911600Z /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. 2025-09-07T09:41:41.8913870Z from pkg_resources import resource_filename 2025-09-07T09:41:42.6231678Z 2025-09-07T09:41:43.8767763Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:41:43.8768219Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:41:43.8768662Z cuda train DistilBertForQuestionAnswering 2025-09-07T09:41:57.2165003Z 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 2025-09-07T09:41:57.2166882Z pred = mod(**cloned_inputs) 2025-09-07T09:41:57.2167965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 1031, in forward 2025-09-07T09:41:57.2169157Z distilbert_output = self.distilbert( 2025-09-07T09:41:57.2170614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 723, in forward 2025-09-07T09:41:57.2171742Z embeddings = self.embeddings(input_ids, inputs_embeds) # (bs, seq_length, dim) 2025-09-07T09:41:57.2172825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 124, in forward 2025-09-07T09:41:57.2173934Z position_embeddings = self.position_embeddings(position_ids) # (bs, max_seq_length, dim) 2025-09-07T09:41:57.2174434Z 2025-09-07T09:41:57.2174438Z 2025-09-07T09:41:57.4102829Z W0907 09:41:57.409000 7850 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:42:11.1178683Z Run failed with return code: -11 2025-09-07T09:42:11.1179133Z Output: None 2025-09-07T09:42:11.1179395Z Error: None 2025-09-07T09:42:12.1752036Z /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. 2025-09-07T09:42:12.1754877Z import pynvml # type: ignore[import] 2025-09-07T09:42:15.4194065Z /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. 2025-09-07T09:42:15.4196756Z from pkg_resources import resource_filename 2025-09-07T09:42:16.1065689Z 2025-09-07T09:42:18.9261398Z loading model: 0it [00:00, ?it/s]`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-09-07T09:42:18.9263342Z WARNING:transformers.modeling_utils:`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-09-07T09:42:19.0267784Z 2025-09-07T09:42:19.0268140Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:42:19.0268587Z cuda train DistillGPT2 2025-09-07T09:42:33.0023186Z 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/gpt2/modeling_gpt2.py", line 1183, in forward 2025-09-07T09:42:33.0024764Z transformer_outputs = self.transformer( 2025-09-07T09:42:33.0025634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 860, in forward 2025-09-07T09:42:33.0026529Z position_embeds = self.wpe(position_ids) 2025-09-07T09:42:33.0026834Z 2025-09-07T09:42:33.0026840Z 2025-09-07T09:42:33.1807717Z W0907 09:42:33.179000 8105 site-packages/torch/_logging/_internal.py:1199] [10/0] Profiler function will be ignored 2025-09-07T09:42:43.2298650Z pass 2025-09-07T09:42:47.7344396Z /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. 2025-09-07T09:42:47.7346237Z import pynvml # type: ignore[import] 2025-09-07T09:42:50.8294651Z /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. 2025-09-07T09:42:50.8297153Z from pkg_resources import resource_filename 2025-09-07T09:42:51.5122383Z 2025-09-07T09:42:51.5137181Z loading model: 0it [00:00, ?it/s]If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:42:51.5138256Z WARNING:transformers.models.electra.modeling_electra:If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:42:52.6615083Z 2025-09-07T09:42:52.6615586Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:42:52.6616046Z cuda train ElectraForCausalLM 2025-09-07T09:43:19.2824460Z 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 2025-09-07T09:43:19.2826495Z pred = mod(**cloned_inputs) 2025-09-07T09:43:19.2827640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 1543, in forward 2025-09-07T09:43:19.2828779Z outputs = self.electra( 2025-09-07T09:43:19.2829861Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 788, in forward 2025-09-07T09:43:19.2831317Z hidden_states = self.embeddings( 2025-09-07T09:43:19.2832446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 192, in forward 2025-09-07T09:43:19.2833699Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T09:43:19.2834321Z 2025-09-07T09:43:19.2834331Z 2025-09-07T09:43:19.8823194Z pass 2025-09-07T09:43:23.2170511Z accuracy pass_rate=83.33% 2025-09-07T09:43:23.2175865Z calls_captured gmean=0.00x mean=387.500x 2025-09-07T09:43:23.2179359Z unique_graphs gmean=0.00x mean=3.500x 2025-09-07T09:43:23.2182985Z graph_breaks gmean=0.00x mean=4.833x 2025-09-07T09:43:23.2186421Z unique_graph_breaks gmean=0.00x mean=3.833x 2025-09-07T09:43:23.2189649Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:43:23.2193187Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:43:23.2196471Z cudagraph_skips gmean=0.00x mean=1.000x 2025-09-07T09:43:23.2197248Z compilation_latency mean=19.265 seconds 2025-09-07T09:43:24.4841054Z + [[ 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* ]] 2025-09-07T09:43:24.4843998Z + 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 1 --output /var/lib/jenkins/workspace/test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_accuracy.csv 2025-09-07T09:43:25.5317343Z /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. 2025-09-07T09:43:25.5319472Z import pynvml # type: ignore[import] 2025-09-07T09:43:28.8038821Z /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. 2025-09-07T09:43:28.8041415Z from pkg_resources import resource_filename 2025-09-07T09:43:31.3271837Z /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. 2025-09-07T09:43:31.3273351Z import pynvml # type: ignore[import] 2025-09-07T09:43:34.5495191Z /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. 2025-09-07T09:43:34.5497066Z from pkg_resources import resource_filename 2025-09-07T09:43:35.2379064Z 2025-09-07T09:43:36.5810662Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:43:36.5811059Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:43:36.5811381Z cuda train BlenderbotSmallForCausalLM 2025-09-07T09:43:39.6835778Z 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/blenderbot_small/modeling_blenderbot_small.py", line 95, in forward 2025-09-07T09:43:39.6837249Z return super().forward(position_ids) 2025-09-07T09:43:39.6837438Z 2025-09-07T09:43:39.6837441Z 2025-09-07T09:43:40.7959103Z pass 2025-09-07T09:43:44.2623836Z /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. 2025-09-07T09:43:44.2625243Z import pynvml # type: ignore[import] 2025-09-07T09:43:47.4154547Z /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. 2025-09-07T09:43:47.4155963Z from pkg_resources import resource_filename 2025-09-07T09:43:48.1962567Z 2025-09-07T09:43:50.6939139Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:43:50.6939531Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:43:50.6939967Z cuda train BlenderbotSmallForConditionalGeneration 2025-09-07T09:43:53.9965984Z 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/blenderbot_small/modeling_blenderbot_small.py", line 95, in forward 2025-09-07T09:43:53.9967337Z return super().forward(position_ids) 2025-09-07T09:43:53.9967563Z 2025-09-07T09:43:53.9967569Z 2025-09-07T09:43:55.1538402Z 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/blenderbot_small/modeling_blenderbot_small.py", line 95, in forward 2025-09-07T09:43:55.1539682Z return super().forward(position_ids) 2025-09-07T09:43:55.1539895Z 2025-09-07T09:43:55.1539900Z 2025-09-07T09:43:57.1961787Z pass 2025-09-07T09:44:00.7117932Z /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. 2025-09-07T09:44:00.7120802Z import pynvml # type: ignore[import] 2025-09-07T09:44:03.8322485Z /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. 2025-09-07T09:44:03.8324011Z from pkg_resources import resource_filename 2025-09-07T09:44:04.5455580Z 2025-09-07T09:44:06.6229062Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:44:06.6229414Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:44:06.6229694Z cuda train CamemBert 2025-09-07T09:44:12.5088253Z 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 2025-09-07T09:44:12.5089503Z pred = mod(**cloned_inputs) 2025-09-07T09:44:12.5090652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 1038, in forward 2025-09-07T09:44:12.5091405Z outputs = self.roberta( 2025-09-07T09:44:12.5092107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 886, in forward 2025-09-07T09:44:12.5092831Z embedding_output = self.embeddings( 2025-09-07T09:44:12.5093520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 118, in forward 2025-09-07T09:44:12.5094294Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T09:44:12.5094585Z 2025-09-07T09:44:12.5094590Z 2025-09-07T09:44:13.1900074Z W0907 09:44:13.189000 8992 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:44:19.0641779Z Run failed with return code: -11 2025-09-07T09:44:19.0642125Z Output: None 2025-09-07T09:44:19.0642333Z Error: None 2025-09-07T09:44:20.1138267Z /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. 2025-09-07T09:44:20.1140884Z import pynvml # type: ignore[import] 2025-09-07T09:44:23.2681016Z /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. 2025-09-07T09:44:23.2682854Z from pkg_resources import resource_filename 2025-09-07T09:44:24.0366793Z 2025-09-07T09:44:34.9622685Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:44:34.9623045Z loading model: 0it [00:10, ?it/s] 2025-09-07T09:44:34.9623358Z cuda train DebertaV2ForMaskedLM 2025-09-07T09:44:35.0717622Z pass_due_to_skip 2025-09-07T09:44:37.4224866Z /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. 2025-09-07T09:44:37.4226298Z import pynvml # type: ignore[import] 2025-09-07T09:44:40.5810869Z /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. 2025-09-07T09:44:40.5812618Z from pkg_resources import resource_filename 2025-09-07T09:44:41.3080056Z 2025-09-07T09:44:50.3639966Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:44:50.3640634Z loading model: 0it [00:09, ?it/s] 2025-09-07T09:44:50.3640947Z cuda train DebertaV2ForQuestionAnswering 2025-09-07T09:44:59.9827386Z 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 2025-09-07T09:44:59.9828451Z pred = mod(**cloned_inputs) 2025-09-07T09:44:59.9829071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 1231, in forward 2025-09-07T09:44:59.9829684Z outputs = self.deberta( 2025-09-07T09:44:59.9830568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 778, in forward 2025-09-07T09:44:59.9831210Z embedding_output = self.embeddings( 2025-09-07T09:44:59.9831801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 544, in forward 2025-09-07T09:44:59.9832490Z position_embeddings = self.position_embeddings(position_ids.long()) 2025-09-07T09:44:59.9832764Z 2025-09-07T09:44:59.9832768Z 2025-09-07T09:45:01.4628746Z pass 2025-09-07T09:45:05.0901746Z /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. 2025-09-07T09:45:05.0903194Z import pynvml # type: ignore[import] 2025-09-07T09:45:08.1779978Z /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. 2025-09-07T09:45:08.1782006Z from pkg_resources import resource_filename 2025-09-07T09:45:08.8771257Z 2025-09-07T09:45:10.4105589Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:45:10.4105959Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:45:10.4106272Z cuda train DistilBertForMaskedLM 2025-09-07T09:45:14.6793867Z 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 2025-09-07T09:45:14.6795039Z pred = mod(**cloned_inputs) 2025-09-07T09:45:14.6795752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward 2025-09-07T09:45:14.6796448Z dlbrt_output = self.distilbert( 2025-09-07T09:45:14.6797088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 723, in forward 2025-09-07T09:45:14.6797887Z embeddings = self.embeddings(input_ids, inputs_embeds) # (bs, seq_length, dim) 2025-09-07T09:45:14.6798682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 124, in forward 2025-09-07T09:45:14.6799506Z position_embeddings = self.position_embeddings(position_ids) # (bs, max_seq_length, dim) 2025-09-07T09:45:14.6799879Z 2025-09-07T09:45:14.6799882Z 2025-09-07T09:45:15.1319340Z W0907 09:45:15.130000 9387 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:45:18.8181023Z Run failed with return code: -11 2025-09-07T09:45:18.8181531Z Output: None 2025-09-07T09:45:18.8795419Z Error: None 2025-09-07T09:45:19.9627954Z /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. 2025-09-07T09:45:19.9629368Z import pynvml # type: ignore[import] 2025-09-07T09:45:23.2774534Z /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. 2025-09-07T09:45:23.2776013Z from pkg_resources import resource_filename 2025-09-07T09:45:23.9471529Z 2025-09-07T09:45:25.2239954Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:45:25.2240658Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:45:25.2241042Z cuda train DistilBertForQuestionAnswering 2025-09-07T09:45:29.3568588Z 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 2025-09-07T09:45:29.3569828Z pred = mod(**cloned_inputs) 2025-09-07T09:45:29.3571093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 1031, in forward 2025-09-07T09:45:29.3571882Z distilbert_output = self.distilbert( 2025-09-07T09:45:29.3572663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 723, in forward 2025-09-07T09:45:29.3573422Z embeddings = self.embeddings(input_ids, inputs_embeds) # (bs, seq_length, dim) 2025-09-07T09:45:29.3574195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 124, in forward 2025-09-07T09:45:29.3575000Z position_embeddings = self.position_embeddings(position_ids) # (bs, max_seq_length, dim) 2025-09-07T09:45:29.3575351Z 2025-09-07T09:45:29.3575355Z 2025-09-07T09:45:29.7708269Z W0907 09:45:29.770000 9544 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:45:33.5601319Z Run failed with return code: -11 2025-09-07T09:45:33.5601669Z Output: None 2025-09-07T09:45:33.5601883Z Error: None 2025-09-07T09:45:34.5451332Z /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. 2025-09-07T09:45:34.5452565Z import pynvml # type: ignore[import] 2025-09-07T09:45:38.0028932Z /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. 2025-09-07T09:45:38.0030880Z from pkg_resources import resource_filename 2025-09-07T09:45:38.7338550Z 2025-09-07T09:45:41.7479078Z loading model: 0it [00:00, ?it/s]`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-09-07T09:45:41.7480122Z WARNING:transformers.modeling_utils:`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-09-07T09:45:41.8485407Z 2025-09-07T09:45:41.8485684Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:45:41.8486033Z cuda train DistillGPT2 2025-09-07T09:45:46.4757336Z 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/gpt2/modeling_gpt2.py", line 1183, in forward 2025-09-07T09:45:46.4758675Z transformer_outputs = self.transformer( 2025-09-07T09:45:46.4759287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 860, in forward 2025-09-07T09:45:46.4759871Z position_embeds = self.wpe(position_ids) 2025-09-07T09:45:46.4760065Z 2025-09-07T09:45:46.4760069Z 2025-09-07T09:45:47.0652726Z W0907 09:45:47.064000 9701 site-packages/torch/_logging/_internal.py:1199] [10/0] Profiler function will be ignored 2025-09-07T09:45:49.4197430Z pass 2025-09-07T09:45:53.3434684Z /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. 2025-09-07T09:45:53.3435920Z import pynvml # type: ignore[import] 2025-09-07T09:45:56.5373849Z /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. 2025-09-07T09:45:56.5375371Z from pkg_resources import resource_filename 2025-09-07T09:45:57.2380169Z 2025-09-07T09:45:57.2395533Z loading model: 0it [00:00, ?it/s]If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:45:57.2396535Z WARNING:transformers.models.electra.modeling_electra:If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:45:58.3866154Z 2025-09-07T09:45:58.3866608Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:45:58.3866985Z cuda train ElectraForCausalLM 2025-09-07T09:46:04.5544274Z 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 2025-09-07T09:46:04.5545523Z pred = mod(**cloned_inputs) 2025-09-07T09:46:04.5546213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 1543, in forward 2025-09-07T09:46:04.5546909Z outputs = self.electra( 2025-09-07T09:46:04.5547541Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 788, in forward 2025-09-07T09:46:04.5548237Z hidden_states = self.embeddings( 2025-09-07T09:46:04.5548891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 192, in forward 2025-09-07T09:46:04.5549666Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T09:46:04.5549969Z 2025-09-07T09:46:04.5549973Z 2025-09-07T09:46:05.4756801Z pass 2025-09-07T09:46:07.8094700Z accuracy pass_rate=83.33% 2025-09-07T09:46:07.8100016Z calls_captured gmean=0.00x mean=387.500x 2025-09-07T09:46:07.8103759Z unique_graphs gmean=0.00x mean=3.500x 2025-09-07T09:46:07.8107333Z graph_breaks gmean=0.00x mean=4.833x 2025-09-07T09:46:07.8110994Z unique_graph_breaks gmean=0.00x mean=3.833x 2025-09-07T09:46:07.8114303Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:46:07.8117436Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:46:07.8120896Z cudagraph_skips gmean=0.00x mean=1.000x 2025-09-07T09:46:07.8122140Z compilation_latency mean=4.634 seconds 2025-09-07T09:46:08.9812848Z + [[ 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* ]] 2025-09-07T09:46:08.9815095Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T09:46:08.9816371Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_accuracy.csv 2025-09-07T09:46:10.0412556Z /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. 2025-09-07T09:46:10.0413927Z import pynvml # type: ignore[import] 2025-09-07T09:46:13.3018434Z /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. 2025-09-07T09:46:13.3019958Z from pkg_resources import resource_filename 2025-09-07T09:46:16.6174918Z /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. 2025-09-07T09:46:16.6176314Z import pynvml # type: ignore[import] 2025-09-07T09:46:19.8052856Z /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. 2025-09-07T09:46:19.8054355Z from pkg_resources import resource_filename 2025-09-07T09:46:20.4881237Z 2025-09-07T09:46:21.9234133Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:46:21.9234469Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:46:21.9234768Z cuda train BlenderbotSmallForCausalLM 2025-09-07T09:46:53.7289568Z pass 2025-09-07T09:46:57.2812130Z /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. 2025-09-07T09:46:57.2813482Z import pynvml # type: ignore[import] 2025-09-07T09:47:00.3506846Z /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. 2025-09-07T09:47:00.3508369Z from pkg_resources import resource_filename 2025-09-07T09:47:01.1250021Z 2025-09-07T09:47:03.2933650Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:47:03.2933988Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:47:03.2934318Z cuda train BlenderbotSmallForConditionalGeneration 2025-09-07T09:47:26.4025278Z pass 2025-09-07T09:47:30.3391032Z /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. 2025-09-07T09:47:30.3392307Z import pynvml # type: ignore[import] 2025-09-07T09:47:33.4225026Z /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. 2025-09-07T09:47:33.4226550Z from pkg_resources import resource_filename 2025-09-07T09:47:34.0933448Z 2025-09-07T09:47:36.2292550Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:47:36.2293035Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:47:36.2293433Z cuda train CamemBert 2025-09-07T09:48:31.7069848Z W0907 09:48:31.705000 11888 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:49:15.1790863Z pass 2025-09-07T09:49:21.4241440Z /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. 2025-09-07T09:49:21.4243551Z import pynvml # type: ignore[import] 2025-09-07T09:49:24.4806586Z /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. 2025-09-07T09:49:24.4808153Z from pkg_resources import resource_filename 2025-09-07T09:49:25.1906743Z 2025-09-07T09:49:35.9221553Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:49:35.9221918Z loading model: 0it [00:10, ?it/s] 2025-09-07T09:49:35.9222224Z cuda train DebertaV2ForMaskedLM 2025-09-07T09:49:35.9565176Z pass_due_to_skip 2025-09-07T09:49:38.3144355Z /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. 2025-09-07T09:49:38.3145729Z import pynvml # type: ignore[import] 2025-09-07T09:49:41.4548711Z /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. 2025-09-07T09:49:41.4550816Z from pkg_resources import resource_filename 2025-09-07T09:49:42.4655432Z 2025-09-07T09:49:51.3822429Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:49:51.3822884Z loading model: 0it [00:08, ?it/s] 2025-09-07T09:49:51.3823222Z cuda train DebertaV2ForQuestionAnswering 2025-09-07T09:51:52.9508796Z pass 2025-09-07T09:51:58.7075135Z /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. 2025-09-07T09:51:58.7076540Z import pynvml # type: ignore[import] 2025-09-07T09:52:01.9862005Z /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. 2025-09-07T09:52:01.9864480Z from pkg_resources import resource_filename 2025-09-07T09:52:02.6956963Z 2025-09-07T09:52:04.2497717Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:52:04.2498108Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:52:04.2498425Z cuda train DistilBertForMaskedLM 2025-09-07T09:52:30.6105070Z W0907 09:52:30.609000 13910 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:52:52.2195292Z pass 2025-09-07T09:52:57.0842743Z /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. 2025-09-07T09:52:57.0844436Z import pynvml # type: ignore[import] 2025-09-07T09:53:00.2107286Z /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. 2025-09-07T09:53:00.2108793Z from pkg_resources import resource_filename 2025-09-07T09:53:00.8855238Z 2025-09-07T09:53:02.1195694Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:53:02.1196051Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:53:02.1196359Z cuda train DistilBertForQuestionAnswering 2025-09-07T09:53:27.7339323Z W0907 09:53:27.732000 14658 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:53:47.7123207Z pass 2025-09-07T09:53:52.4426635Z /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. 2025-09-07T09:53:52.4428082Z import pynvml # type: ignore[import] 2025-09-07T09:53:55.8939873Z /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. 2025-09-07T09:53:55.8941929Z from pkg_resources import resource_filename 2025-09-07T09:53:56.7729466Z 2025-09-07T09:53:59.5995989Z loading model: 0it [00:00, ?it/s]`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-09-07T09:53:59.5997007Z WARNING:transformers.modeling_utils:`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-09-07T09:53:59.6996523Z 2025-09-07T09:53:59.6996965Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:53:59.6997333Z cuda train DistillGPT2 2025-09-07T09:54:26.9560728Z W0907 09:54:26.955000 15246 site-packages/torch/_logging/_internal.py:1199] [10/0] Profiler function will be ignored 2025-09-07T09:54:41.6321480Z pass 2025-09-07T09:54:46.3107058Z /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. 2025-09-07T09:54:46.3108488Z import pynvml # type: ignore[import] 2025-09-07T09:54:49.4763851Z /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. 2025-09-07T09:54:49.4765579Z from pkg_resources import resource_filename 2025-09-07T09:54:50.1507663Z 2025-09-07T09:54:50.1522431Z loading model: 0it [00:00, ?it/s]If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:54:50.1523334Z WARNING:transformers.models.electra.modeling_electra:If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:54:51.1745290Z 2025-09-07T09:54:51.1745783Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:54:51.1746349Z cuda train ElectraForCausalLM 2025-09-07T09:55:46.5515419Z pass 2025-09-07T09:55:50.1207060Z accuracy pass_rate=88.89% 2025-09-07T09:55:50.1211645Z calls_captured gmean=0.00x mean=560.444x 2025-09-07T09:55:50.1214392Z unique_graphs gmean=0.00x mean=3.000x 2025-09-07T09:55:50.1217907Z graph_breaks gmean=0.00x mean=4.889x 2025-09-07T09:55:50.1221257Z unique_graph_breaks gmean=0.00x mean=3.889x 2025-09-07T09:55:50.1224476Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:55:50.1227708Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:55:50.1230977Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:55:50.1232026Z compilation_latency mean=50.789 seconds 2025-09-07T09:55:51.2222510Z + [[ 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* ]] 2025-09-07T09:55:51.2224600Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:55:51.2226551Z + [[ 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* ]] 2025-09-07T09:55:51.2228481Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:55:51.2230539Z + [[ 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* ]] 2025-09-07T09:55:51.2232399Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:55:51.2234213Z + [[ 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* ]] 2025-09-07T09:55:51.2236034Z + TORCHINDUCTOR_MAX_AUTOTUNE=1 2025-09-07T09:55:51.2237891Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 5 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_accuracy.csv 2025-09-07T09:55:52.2896594Z /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. 2025-09-07T09:55:52.2897955Z import pynvml # type: ignore[import] 2025-09-07T09:55:55.9026623Z /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. 2025-09-07T09:55:55.9028160Z from pkg_resources import resource_filename 2025-09-07T09:55:58.5128654Z /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. 2025-09-07T09:55:58.5130042Z import pynvml # type: ignore[import] 2025-09-07T09:56:01.7512649Z /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. 2025-09-07T09:56:01.7514180Z from pkg_resources import resource_filename 2025-09-07T09:56:02.4150541Z 2025-09-07T09:56:04.1787855Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:56:04.1788735Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:56:04.1789279Z cuda train BlenderbotSmallForCausalLM 2025-09-07T09:56:11.4688947Z Autotune Choices Stats: 2025-09-07T09:56:11.4691345Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_80", "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": 0.00863999966531992, "best_triton_pos": 0} 2025-09-07T09:56:11.4950812Z AUTOTUNE addmm(128x2048, 128x512, 512x2048) 2025-09-07T09:56:11.4951085Z strides: [0, 1], [512, 1], [1, 512] 2025-09-07T09:56:11.4951357Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:56:11.4952012Z triton_mm_80 0.0086 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 2025-09-07T09:56:11.4952975Z triton_mm_84 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 2025-09-07T09:56:11.4953569Z bias_addmm 0.0095 ms 90.9% 2025-09-07T09:56:11.4954126Z triton_mm_88 0.0096 ms 89.7% 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 2025-09-07T09:56:11.4955037Z triton_mm_79 0.0099 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 2025-09-07T09:56:11.4955936Z triton_mm_83 0.0101 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:56:11.4956830Z triton_mm_78 0.0101 ms 85.2% 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 2025-09-07T09:56:11.4957748Z triton_mm_77 0.0104 ms 83.1% 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 2025-09-07T09:56:11.4958660Z triton_mm_87 0.0105 ms 82.3% 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 2025-09-07T09:56:11.4959567Z triton_mm_94 0.0112 ms 77.1% 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 2025-09-07T09:56:11.4960543Z SingleProcess AUTOTUNE benchmarking takes 0.3011 seconds and 1.3780 seconds precompiling for 21 choices 2025-09-07T09:56:12.4688108Z Autotune Choices Stats: 2025-09-07T09:56:12.4689313Z {"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": 0.007584000006318092, "best_triton_pos": 0} 2025-09-07T09:56:12.5310538Z AUTOTUNE mm(128x512, 512x512) 2025-09-07T09:56:12.5310804Z strides: [512, 1], [1, 512] 2025-09-07T09:56:12.5311050Z dtypes: torch.float16, torch.float16 2025-09-07T09:56:12.5311692Z triton_mm_4 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 2025-09-07T09:56:12.5312716Z triton_mm_8 0.0077 ms 98.8% 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 2025-09-07T09:56:12.5313337Z mm 0.0079 ms 96.3% 2025-09-07T09:56:12.5313915Z triton_mm_12 0.0084 ms 89.8% 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 2025-09-07T09:56:12.5315303Z triton_mm_3 0.0091 ms 83.5% 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 2025-09-07T09:56:12.5316539Z triton_mm_1 0.0092 ms 82.3% 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 2025-09-07T09:56:12.5317519Z triton_mm_7 0.0092 ms 82.3% 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 2025-09-07T09:56:12.5318498Z triton_mm_2 0.0093 ms 81.4% 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 2025-09-07T09:56:12.5319406Z triton_mm_11 0.0094 ms 80.9% 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 2025-09-07T09:56:12.5320478Z triton_mm_18 0.0100 ms 76.0% 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 2025-09-07T09:56:12.5321299Z SingleProcess AUTOTUNE benchmarking takes 0.3025 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:56:12.7962255Z Autotune Choices Stats: 2025-09-07T09:56:12.7963349Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_61", "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": 0.007807999849319458, "best_triton_pos": 0} 2025-09-07T09:56:12.8075202Z AUTOTUNE addmm(128x512, 128x512, 512x512) 2025-09-07T09:56:12.8075481Z strides: [0, 1], [512, 1], [1, 512] 2025-09-07T09:56:12.8075770Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:56:12.8076467Z triton_mm_61 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 2025-09-07T09:56:12.8077127Z bias_addmm 0.0081 ms 96.8% 2025-09-07T09:56:12.8077731Z triton_mm_65 0.0081 ms 96.4% 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 2025-09-07T09:56:12.8078915Z triton_mm_69 0.0088 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 2025-09-07T09:56:12.8079972Z triton_mm_60 0.0092 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 2025-09-07T09:56:12.8081356Z triton_mm_64 0.0092 ms 85.3% 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 2025-09-07T09:56:12.8082402Z triton_mm_59 0.0093 ms 83.6% 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 2025-09-07T09:56:12.8083447Z triton_mm_58 0.0094 ms 83.0% 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 2025-09-07T09:56:12.8084495Z triton_mm_68 0.0097 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 2025-09-07T09:56:12.8085546Z triton_mm_67 0.0107 ms 73.3% 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 2025-09-07T09:56:12.8086475Z SingleProcess AUTOTUNE benchmarking takes 0.2754 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T09:56:13.0819961Z Autotune Choices Stats: 2025-09-07T09:56:13.0821958Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.010623999871313572, "best_triton_pos": 1, "best_triton_time": 0.011392000131309032, "best_triton_kernel": "triton_mm_99", "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"} 2025-09-07T09:56:13.1354093Z AUTOTUNE addmm(128x512, 128x2048, 2048x512) 2025-09-07T09:56:13.1354385Z strides: [0, 1], [2048, 1], [1, 2048] 2025-09-07T09:56:13.1354684Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:56:13.1354998Z bias_addmm 0.0106 ms 100.0% 2025-09-07T09:56:13.1355613Z triton_mm_99 0.0114 ms 93.3% 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 2025-09-07T09:56:13.1356620Z triton_mm_103 0.0121 ms 88.1% 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 2025-09-07T09:56:13.1357625Z triton_mm_107 0.0140 ms 76.0% 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 2025-09-07T09:56:13.1358258Z addmm 0.0140 ms 75.6% 2025-09-07T09:56:13.1358834Z triton_mm_98 0.0177 ms 60.0% 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 2025-09-07T09:56:13.1359752Z triton_mm_113 0.0180 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 2025-09-07T09:56:13.1360788Z triton_mm_97 0.0185 ms 57.5% 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 2025-09-07T09:56:13.1361710Z triton_mm_96 0.0190 ms 55.9% 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 2025-09-07T09:56:13.1362622Z triton_mm_102 0.0191 ms 55.7% 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 2025-09-07T09:56:13.1363427Z SingleProcess AUTOTUNE benchmarking takes 0.3274 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T09:56:16.8835994Z Autotune Choices Stats: 2025-09-07T09:56:16.8837080Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_125", "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": 0.035711999982595444, "best_triton_pos": 0} 2025-09-07T09:56:16.8893270Z AUTOTUNE mm(128x512, 512x50265) 2025-09-07T09:56:16.8893741Z strides: [512, 1], [1, 512] 2025-09-07T09:56:16.8894208Z dtypes: torch.float16, torch.float16 2025-09-07T09:56:16.8895346Z triton_mm_125 0.0357 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 2025-09-07T09:56:16.8897077Z triton_mm_131 0.0372 ms 96.0% 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 2025-09-07T09:56:16.8898798Z triton_mm_132 0.0392 ms 91.0% 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 2025-09-07T09:56:16.8900677Z triton_mm_121 0.0406 ms 87.9% 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 2025-09-07T09:56:16.8902102Z triton_mm_123 0.0415 ms 86.1% 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 2025-09-07T09:56:16.8903360Z triton_mm_130 0.0415 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 2025-09-07T09:56:16.8904327Z triton_mm_126 0.0415 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 2025-09-07T09:56:16.8905265Z triton_mm_124 0.0420 ms 85.1% 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 2025-09-07T09:56:16.8906192Z triton_mm_128 0.0424 ms 84.3% 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 2025-09-07T09:56:16.8907123Z triton_mm_120 0.0502 ms 71.1% 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 2025-09-07T09:56:16.8907937Z SingleProcess AUTOTUNE benchmarking takes 0.2835 seconds and 1.6160 seconds precompiling for 20 choices 2025-09-07T09:56:18.8456696Z Autotune Choices Stats: 2025-09-07T09:56:18.8457913Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_145", "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": 0.04224000126123428, "best_triton_pos": 0} 2025-09-07T09:56:18.8498026Z AUTOTUNE mm(50265x128, 128x512) 2025-09-07T09:56:18.8498306Z strides: [1, 50304], [512, 1] 2025-09-07T09:56:18.8498589Z dtypes: torch.float16, torch.float16 2025-09-07T09:56:18.8499321Z triton_mm_145 0.0422 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 2025-09-07T09:56:18.8500064Z mm 0.0428 ms 98.7% 2025-09-07T09:56:18.8501184Z triton_mm_149 0.0469 ms 90.0% 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 2025-09-07T09:56:18.8502272Z triton_mm_150 0.0495 ms 85.4% 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 2025-09-07T09:56:18.8503447Z triton_mm_141 0.0508 ms 83.1% 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 2025-09-07T09:56:18.8504514Z triton_mm_142 0.0513 ms 82.4% 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 2025-09-07T09:56:18.8505580Z triton_mm_143 0.0522 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 2025-09-07T09:56:18.8506624Z triton_mm_146 0.0533 ms 79.3% 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 2025-09-07T09:56:18.8507667Z triton_mm_144 0.0559 ms 75.6% 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 2025-09-07T09:56:18.8508701Z triton_mm_139 0.0623 ms 67.8% 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=2, num_warps=4 2025-09-07T09:56:18.8509631Z SingleProcess AUTOTUNE benchmarking takes 0.3185 seconds and 0.1887 seconds precompiling for 20 choices 2025-09-07T09:56:20.7203045Z Autotune Choices Stats: 2025-09-07T09:56:20.7205265Z {"num_choices": 25, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.041120000183582306, "best_triton_pos": 4, "best_triton_time": 0.10540799796581268, "best_triton_kernel": "triton_mm_156", "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"} 2025-09-07T09:56:20.7534122Z AUTOTUNE mm(128x50272, 50272x512) 2025-09-07T09:56:20.7534419Z strides: [50304, 1], [512, 1] 2025-09-07T09:56:20.7534697Z dtypes: torch.float16, torch.float16 2025-09-07T09:56:20.7534972Z mm 0.0411 ms 100.0% 2025-09-07T09:56:20.7535253Z decompose_k_mm_4_split_1 0.0480 ms 85.7% k_split=4 2025-09-07T09:56:20.7535610Z decompose_k_mm_2_split_0 0.0498 ms 82.6% k_split=2 2025-09-07T09:56:20.7535956Z decompose_k_mm_16_split_3 0.1012 ms 40.6% k_split=16 2025-09-07T09:56:20.7536694Z triton_mm_156 0.1054 ms 39.0% 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 2025-09-07T09:56:20.7537444Z decompose_k_mm_8_split_2 0.1077 ms 38.2% k_split=8 2025-09-07T09:56:20.7537830Z decompose_k_mm_32_split_4 0.1316 ms 31.3% k_split=32 2025-09-07T09:56:20.7538549Z triton_mm_160 0.1546 ms 26.6% 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 2025-09-07T09:56:20.7539624Z triton_mm_164 0.1823 ms 22.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:56:20.7540976Z triton_mm_155 0.2784 ms 14.8% 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 2025-09-07T09:56:20.7541738Z SingleProcess AUTOTUNE benchmarking takes 1.6823 seconds and 0.0002 seconds precompiling for 25 choices 2025-09-07T09:56:23.5068950Z Autotune Choices Stats: 2025-09-07T09:56:23.5070169Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_201", "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} 2025-09-07T09:56:23.7028428Z AUTOTUNE mm(512x128, 128x2048) 2025-09-07T09:56:23.7028707Z strides: [1, 512], [2048, 1] 2025-09-07T09:56:23.7028934Z dtypes: torch.float16, torch.float16 2025-09-07T09:56:23.7029539Z triton_mm_201 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 2025-09-07T09:56:23.7030799Z triton_mm_204 0.0076 ms 98.7% 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 2025-09-07T09:56:23.7031898Z triton_mm_200 0.0076 ms 97.9% 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 2025-09-07T09:56:23.7032917Z triton_mm_202 0.0076 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 2025-09-07T09:56:23.7033911Z triton_mm_197 0.0076 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=8 2025-09-07T09:56:23.7034905Z triton_mm_199 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 2025-09-07T09:56:23.7035886Z triton_mm_203 0.0077 ms 97.1% 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 2025-09-07T09:56:23.7037303Z triton_mm_198 0.0078 ms 95.1% 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 2025-09-07T09:56:23.7038164Z mm 0.0079 ms 94.0% 2025-09-07T09:56:23.7038776Z triton_mm_206 0.0080 ms 93.2% 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 2025-09-07T09:56:23.7039677Z SingleProcess AUTOTUNE benchmarking takes 0.3883 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T09:56:24.0904804Z Autotune Choices Stats: 2025-09-07T09:56:24.0905791Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_239", "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": 0.007391999941319227, "best_triton_pos": 0} 2025-09-07T09:56:24.1185025Z AUTOTUNE mm(2048x128, 128x512) 2025-09-07T09:56:24.1185334Z strides: [1, 2048], [512, 1] 2025-09-07T09:56:24.1185662Z dtypes: torch.float16, torch.float16 2025-09-07T09:56:24.1186384Z triton_mm_239 0.0074 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 2025-09-07T09:56:24.1187446Z triton_mm_235 0.0076 ms 97.9% 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 2025-09-07T09:56:24.1188501Z triton_mm_237 0.0076 ms 97.9% 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 2025-09-07T09:56:24.1189555Z triton_mm_238 0.0076 ms 97.9% 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 2025-09-07T09:56:24.1191040Z triton_mm_240 0.0076 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 2025-09-07T09:56:24.1192177Z triton_mm_242 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 2025-09-07T09:56:24.1192800Z mm 0.0076 ms 97.1% 2025-09-07T09:56:24.1193372Z triton_mm_241 0.0076 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 2025-09-07T09:56:24.1194369Z triton_mm_236 0.0077 ms 96.3% 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 2025-09-07T09:56:24.1195360Z triton_mm_245 0.0080 ms 92.0% 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 2025-09-07T09:56:24.1196247Z SingleProcess AUTOTUNE benchmarking takes 0.2124 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:56:24.3420635Z Autotune Choices Stats: 2025-09-07T09:56:24.3421827Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_269", "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} 2025-09-07T09:56:24.4001234Z AUTOTUNE mm(512x128, 128x512) 2025-09-07T09:56:24.4001558Z strides: [1, 512], [512, 1] 2025-09-07T09:56:24.4001872Z dtypes: torch.float16, torch.float16 2025-09-07T09:56:24.4002599Z triton_mm_269 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 2025-09-07T09:56:24.4004156Z triton_mm_268 0.0068 ms 99.1% 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 2025-09-07T09:56:24.4005478Z triton_mm_273 0.0068 ms 99.1% 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 2025-09-07T09:56:24.4006525Z triton_mm_274 0.0070 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 2025-09-07T09:56:24.4007573Z triton_mm_277 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 2025-09-07T09:56:24.4008227Z mm 0.0071 ms 95.0% 2025-09-07T09:56:24.4008833Z triton_mm_275 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=3, num_warps=4 2025-09-07T09:56:24.4009889Z triton_mm_276 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 2025-09-07T09:56:24.4011191Z triton_mm_280 0.0072 ms 93.7% 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 2025-09-07T09:56:24.4012141Z triton_mm_278 0.0072 ms 93.3% 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 2025-09-07T09:56:24.4012947Z SingleProcess AUTOTUNE benchmarking takes 0.2380 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:56:24.8259388Z Autotune Choices Stats: 2025-09-07T09:56:24.8260791Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_175", "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": 0.008063999935984612, "best_triton_pos": 0} 2025-09-07T09:56:24.8799692Z AUTOTUNE mm(128x512, 512x2048) 2025-09-07T09:56:24.8799959Z strides: [512, 1], [2048, 1] 2025-09-07T09:56:24.8800359Z dtypes: torch.float16, torch.float16 2025-09-07T09:56:24.8801035Z triton_mm_175 0.0081 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 2025-09-07T09:56:24.8801834Z mm 0.0083 ms 96.9% 2025-09-07T09:56:24.8802490Z triton_mm_179 0.0084 ms 96.2% 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 2025-09-07T09:56:24.8803587Z triton_mm_183 0.0091 ms 88.7% 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 2025-09-07T09:56:24.8804660Z triton_mm_174 0.0092 ms 87.2% 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 2025-09-07T09:56:24.8805721Z triton_mm_173 0.0094 ms 86.0% 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 2025-09-07T09:56:24.8806768Z triton_mm_178 0.0094 ms 86.0% 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 2025-09-07T09:56:24.8807797Z triton_mm_182 0.0098 ms 82.6% 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 2025-09-07T09:56:24.8808842Z triton_mm_189 0.0101 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:56:24.8810574Z triton_mm_172 0.0103 ms 78.3% 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 2025-09-07T09:56:24.8811748Z SingleProcess AUTOTUNE benchmarking takes 0.2436 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:56:25.9302855Z Autotune Choices Stats: 2025-09-07T09:56:25.9304128Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_365", "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": 0.007584000006318092, "best_triton_pos": 0} 2025-09-07T09:56:25.9503628Z AUTOTUNE mm(128x512, 512x512) 2025-09-07T09:56:25.9503917Z strides: [512, 1], [512, 1] 2025-09-07T09:56:25.9504183Z dtypes: torch.float16, torch.float16 2025-09-07T09:56:25.9504910Z triton_mm_365 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 2025-09-07T09:56:25.9506021Z triton_mm_369 0.0077 ms 98.8% 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 2025-09-07T09:56:25.9506684Z mm 0.0078 ms 97.1% 2025-09-07T09:56:25.9507284Z triton_mm_364 0.0087 ms 87.5% 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 2025-09-07T09:56:25.9508309Z triton_mm_373 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 2025-09-07T09:56:25.9509337Z triton_mm_368 0.0088 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 2025-09-07T09:56:25.9510768Z triton_mm_363 0.0090 ms 84.6% 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 2025-09-07T09:56:25.9511937Z triton_mm_372 0.0092 ms 82.6% 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 2025-09-07T09:56:25.9512953Z triton_mm_362 0.0094 ms 80.9% 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 2025-09-07T09:56:25.9513950Z triton_mm_371 0.0098 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 2025-09-07T09:56:25.9514824Z SingleProcess AUTOTUNE benchmarking takes 0.2257 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:56:26.8977071Z Autotune Choices Stats: 2025-09-07T09:56:26.8978287Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010111999697983265, "best_triton_pos": 1, "best_triton_time": 0.010591999627649784, "best_triton_kernel": "triton_mm_213", "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"} 2025-09-07T09:56:26.8988418Z AUTOTUNE mm(128x2048, 2048x512) 2025-09-07T09:56:26.8988736Z strides: [2048, 1], [512, 1] 2025-09-07T09:56:26.8988980Z dtypes: torch.float16, torch.float16 2025-09-07T09:56:26.8989226Z mm 0.0101 ms 100.0% 2025-09-07T09:56:26.8989784Z triton_mm_213 0.0106 ms 95.5% 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 2025-09-07T09:56:26.8991085Z triton_mm_217 0.0111 ms 91.3% 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 2025-09-07T09:56:26.8992724Z triton_mm_221 0.0130 ms 77.6% 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 2025-09-07T09:56:26.8993996Z triton_mm_211 0.0172 ms 58.6% 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 2025-09-07T09:56:26.8994990Z triton_mm_212 0.0174 ms 58.2% 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 2025-09-07T09:56:26.8996002Z triton_mm_227 0.0179 ms 56.4% 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 2025-09-07T09:56:26.8996998Z triton_mm_216 0.0181 ms 55.9% 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 2025-09-07T09:56:26.8998000Z triton_mm_220 0.0181 ms 55.8% 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 2025-09-07T09:56:26.8998993Z triton_mm_210 0.0200 ms 50.6% 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 2025-09-07T09:56:26.8999865Z SingleProcess AUTOTUNE benchmarking takes 0.2216 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:56:27.8373074Z 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/blenderbot_small/modeling_blenderbot_small.py", line 95, in forward 2025-09-07T09:56:27.8374361Z return super().forward(position_ids) 2025-09-07T09:56:27.8374573Z 2025-09-07T09:56:27.8374577Z 2025-09-07T09:56:28.4051412Z pass 2025-09-07T09:56:32.1994658Z /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. 2025-09-07T09:56:32.1996451Z import pynvml # type: ignore[import] 2025-09-07T09:56:35.8055104Z /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. 2025-09-07T09:56:35.8056433Z from pkg_resources import resource_filename 2025-09-07T09:56:36.4899878Z 2025-09-07T09:56:38.6562794Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:56:38.6563149Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:56:38.6563492Z cuda train BlenderbotSmallForConditionalGeneration 2025-09-07T09:56:45.5742068Z 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/blenderbot_small/modeling_blenderbot_small.py", line 95, in forward 2025-09-07T09:56:45.5743422Z return super().forward(position_ids) 2025-09-07T09:56:45.5743643Z 2025-09-07T09:56:45.5743647Z 2025-09-07T09:56:57.9472066Z 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/blenderbot_small/modeling_blenderbot_small.py", line 95, in forward 2025-09-07T09:56:57.9473515Z return super().forward(position_ids) 2025-09-07T09:56:57.9473757Z 2025-09-07T09:56:57.9473761Z 2025-09-07T09:56:59.9499470Z pass 2025-09-07T09:57:03.6852517Z /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. 2025-09-07T09:57:03.6854187Z import pynvml # type: ignore[import] 2025-09-07T09:57:06.7571421Z /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. 2025-09-07T09:57:06.7573462Z from pkg_resources import resource_filename 2025-09-07T09:57:07.4783341Z 2025-09-07T09:57:09.5079248Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:57:09.5079577Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:57:09.5079866Z cuda train CamemBert 2025-09-07T09:57:29.1040786Z Autotune Choices Stats: 2025-09-07T09:57:29.1042348Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.013055999763309956, "best_triton_pos": 1, "best_triton_time": 0.013663999736309052, "best_triton_kernel": "triton_mm_94", "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"} 2025-09-07T09:57:29.2289481Z AUTOTUNE addmm(512x3072, 512x768, 768x3072) 2025-09-07T09:57:29.2289838Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T09:57:29.2290536Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:57:29.2290893Z bias_addmm 0.0131 ms 100.0% 2025-09-07T09:57:29.2291571Z triton_mm_94 0.0137 ms 95.6% 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 2025-09-07T09:57:29.2292651Z triton_mm_83 0.0139 ms 93.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:57:29.2293768Z triton_mm_87 0.0141 ms 92.5% 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 2025-09-07T09:57:29.2294823Z triton_mm_93 0.0148 ms 88.5% 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 2025-09-07T09:57:29.2295867Z triton_mm_86 0.0153 ms 85.5% 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 2025-09-07T09:57:29.2296896Z triton_mm_90 0.0156 ms 83.8% 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 2025-09-07T09:57:29.2297935Z triton_mm_88 0.0169 ms 77.4% 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 2025-09-07T09:57:29.2298970Z triton_mm_89 0.0176 ms 74.0% 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 2025-09-07T09:57:29.2299633Z addmm 0.0177 ms 73.8% 2025-09-07T09:57:29.2300139Z SingleProcess AUTOTUNE benchmarking takes 0.3959 seconds and 0.0004 seconds precompiling for 21 choices 2025-09-07T09:57:30.9602893Z Autotune Choices Stats: 2025-09-07T09:57:30.9604063Z {"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": 0.009440000168979168, "best_triton_pos": 0} 2025-09-07T09:57:31.0131886Z AUTOTUNE addmm(512x768, 512x768, 768x768) 2025-09-07T09:57:31.0132254Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T09:57:31.0132583Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:57:31.0134085Z triton_mm_8 0.0094 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 2025-09-07T09:57:31.0134774Z bias_addmm 0.0100 ms 93.9% 2025-09-07T09:57:31.0135416Z triton_mm_12 0.0105 ms 89.7% 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 2025-09-07T09:57:31.0136456Z triton_mm_7 0.0115 ms 82.2% 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 2025-09-07T09:57:31.0137475Z triton_mm_4 0.0119 ms 79.5% 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 2025-09-07T09:57:31.0138536Z triton_mm_11 0.0122 ms 77.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:57:31.0139598Z triton_mm_1 0.0125 ms 75.4% 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 2025-09-07T09:57:31.0140827Z triton_mm_18 0.0126 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 2025-09-07T09:57:31.0141713Z triton_mm_14 0.0131 ms 72.1% 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 2025-09-07T09:57:31.0142263Z addmm 0.0133 ms 70.9% 2025-09-07T09:57:31.0142674Z SingleProcess AUTOTUNE benchmarking takes 0.3280 seconds and 0.0003 seconds precompiling for 21 choices 2025-09-07T09:57:31.3086435Z Autotune Choices Stats: 2025-09-07T09:57:31.3087951Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.014399999752640724, "best_triton_pos": 1, "best_triton_time": 0.015296000055968761, "best_triton_kernel": "triton_mm_103", "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"} 2025-09-07T09:57:31.5008662Z AUTOTUNE addmm(512x768, 512x3072, 3072x768) 2025-09-07T09:57:31.5009192Z strides: [0, 1], [3072, 1], [1, 3072] 2025-09-07T09:57:31.5009707Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:57:31.5010690Z bias_addmm 0.0144 ms 100.0% 2025-09-07T09:57:31.5011480Z triton_mm_103 0.0153 ms 94.1% 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 2025-09-07T09:57:31.5012049Z addmm 0.0172 ms 83.6% 2025-09-07T09:57:31.5012601Z triton_mm_107 0.0180 ms 79.8% 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 2025-09-07T09:57:31.5013486Z triton_mm_99 0.0228 ms 63.3% 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 2025-09-07T09:57:31.5014362Z triton_mm_113 0.0236 ms 60.9% 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 2025-09-07T09:57:31.5015276Z triton_mm_102 0.0271 ms 53.2% 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 2025-09-07T09:57:31.5016147Z triton_mm_106 0.0276 ms 52.2% 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 2025-09-07T09:57:31.5017310Z triton_mm_96 0.0283 ms 50.9% 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 2025-09-07T09:57:31.5018381Z triton_mm_98 0.0293 ms 49.2% 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 2025-09-07T09:57:31.5019149Z SingleProcess AUTOTUNE benchmarking takes 0.4854 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T09:57:32.0375369Z Autotune Choices Stats: 2025-09-07T09:57:32.0376475Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_1404", "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": 0.07372800260782242, "best_triton_pos": 0} 2025-09-07T09:57:32.0442582Z AUTOTUNE addmm(512x32005, 512x768, 768x32005) 2025-09-07T09:57:32.0442925Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T09:57:32.0443260Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:57:32.0444034Z triton_mm_1404 0.0737 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 2025-09-07T09:57:32.0445139Z triton_mm_1398 0.0814 ms 90.6% 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 2025-09-07T09:57:32.0446248Z triton_mm_1405 0.0884 ms 83.4% 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 2025-09-07T09:57:32.0447324Z triton_mm_1403 0.0885 ms 83.3% 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 2025-09-07T09:57:32.0448398Z triton_mm_1397 0.0959 ms 76.9% 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 2025-09-07T09:57:32.0449454Z triton_mm_1399 0.0991 ms 74.4% 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 2025-09-07T09:57:32.0450720Z triton_mm_1396 0.1015 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=3, num_warps=4 2025-09-07T09:57:32.0451705Z triton_mm_1394 0.1061 ms 69.5% 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 2025-09-07T09:57:32.0452642Z triton_mm_1400 0.1065 ms 69.2% 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 2025-09-07T09:57:32.0453587Z triton_mm_1401 0.1087 ms 67.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:57:32.0454415Z SingleProcess AUTOTUNE benchmarking takes 0.5121 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T09:57:46.4756637Z Autotune Choices Stats: 2025-09-07T09:57:46.4758016Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011615999974310398, "best_triton_pos": 1, "best_triton_time": 0.012640000320971012, "best_triton_kernel": "triton_mm_1512", "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"} 2025-09-07T09:57:46.6392915Z AUTOTUNE mm(768x512, 512x3072) 2025-09-07T09:57:46.6393472Z strides: [1, 768], [3072, 1] 2025-09-07T09:57:46.6393933Z dtypes: torch.float16, torch.float16 2025-09-07T09:57:46.6394399Z mm 0.0116 ms 100.0% 2025-09-07T09:57:46.6396101Z triton_mm_1512 0.0126 ms 91.9% 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 2025-09-07T09:57:46.6397375Z triton_mm_1511 0.0130 ms 89.6% 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 2025-09-07T09:57:46.6398401Z triton_mm_1515 0.0132 ms 88.3% 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 2025-09-07T09:57:46.6399429Z triton_mm_1518 0.0135 ms 86.2% 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 2025-09-07T09:57:46.6400619Z triton_mm_1510 0.0136 ms 85.2% 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 2025-09-07T09:57:46.6401647Z triton_mm_1514 0.0140 ms 83.3% 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 2025-09-07T09:57:46.6402659Z triton_mm_1517 0.0141 ms 82.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:57:46.6403666Z triton_mm_1508 0.0148 ms 78.4% 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 2025-09-07T09:57:46.6404670Z triton_mm_1519 0.0159 ms 72.9% 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 2025-09-07T09:57:46.6405557Z SingleProcess AUTOTUNE benchmarking takes 0.3704 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:57:47.0459087Z Autotune Choices Stats: 2025-09-07T09:57:47.0460881Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011327999643981457, "best_triton_pos": 1, "best_triton_time": 0.012671999633312225, "best_triton_kernel": "triton_mm_1550", "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"} 2025-09-07T09:57:47.1138887Z AUTOTUNE mm(3072x512, 512x768) 2025-09-07T09:57:47.1139248Z strides: [1, 3072], [768, 1] 2025-09-07T09:57:47.1139558Z dtypes: torch.float16, torch.float16 2025-09-07T09:57:47.1139855Z mm 0.0113 ms 100.0% 2025-09-07T09:57:47.1140725Z triton_mm_1550 0.0127 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 2025-09-07T09:57:47.1141872Z triton_mm_1549 0.0129 ms 88.1% 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 2025-09-07T09:57:47.1143064Z triton_mm_1553 0.0132 ms 85.5% 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 2025-09-07T09:57:47.1144161Z triton_mm_1556 0.0134 ms 84.5% 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 2025-09-07T09:57:47.1145260Z triton_mm_1548 0.0135 ms 84.1% 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 2025-09-07T09:57:47.1146183Z triton_mm_1552 0.0139 ms 81.8% 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 2025-09-07T09:57:47.1147531Z triton_mm_1555 0.0139 ms 81.4% 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 2025-09-07T09:57:47.1148710Z triton_mm_1546 0.0146 ms 77.6% 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 2025-09-07T09:57:47.1149641Z triton_mm_1557 0.0154 ms 73.4% 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 2025-09-07T09:57:47.1150622Z SingleProcess AUTOTUNE benchmarking takes 0.2721 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:57:47.5558748Z Autotune Choices Stats: 2025-09-07T09:57:47.5560763Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011776000261306763, "best_triton_pos": 1, "best_triton_time": 0.012608000077307224, "best_triton_kernel": "triton_mm_1500", "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"} 2025-09-07T09:57:47.6429550Z AUTOTUNE mm(512x768, 768x3072) 2025-09-07T09:57:47.6429909Z strides: [768, 1], [3072, 1] 2025-09-07T09:57:47.6430497Z dtypes: torch.float16, torch.float16 2025-09-07T09:57:47.6430825Z mm 0.0118 ms 100.0% 2025-09-07T09:57:47.6431480Z triton_mm_1500 0.0126 ms 93.4% 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 2025-09-07T09:57:47.6432579Z triton_mm_1493 0.0135 ms 87.2% 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 2025-09-07T09:57:47.6433643Z triton_mm_1499 0.0136 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 2025-09-07T09:57:47.6434717Z triton_mm_1489 0.0139 ms 84.6% 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 2025-09-07T09:57:47.6435888Z triton_mm_1492 0.0141 ms 83.6% 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 2025-09-07T09:57:47.6436900Z triton_mm_1496 0.0144 ms 82.0% 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 2025-09-07T09:57:47.6437907Z triton_mm_1494 0.0151 ms 77.8% 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 2025-09-07T09:57:47.6438912Z triton_mm_1491 0.0162 ms 72.9% 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 2025-09-07T09:57:47.6439908Z triton_mm_1495 0.0164 ms 71.9% 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 2025-09-07T09:57:47.6440926Z SingleProcess AUTOTUNE benchmarking takes 0.2932 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:57:48.6131257Z Autotune Choices Stats: 2025-09-07T09:57:48.6135455Z {"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_1475", "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"} 2025-09-07T09:57:48.6458441Z AUTOTUNE mm(768x512, 512x768) 2025-09-07T09:57:48.6458782Z strides: [1, 768], [768, 1] 2025-09-07T09:57:48.6459126Z dtypes: torch.float16, torch.float16 2025-09-07T09:57:48.6459491Z mm 0.0088 ms 100.0% 2025-09-07T09:57:48.6461311Z triton_mm_1475 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 2025-09-07T09:57:48.6462770Z triton_mm_1474 0.0099 ms 89.0% 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 2025-09-07T09:57:48.6464261Z triton_mm_1470 0.0099 ms 88.7% 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 2025-09-07T09:57:48.6465688Z triton_mm_1473 0.0101 ms 87.3% 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 2025-09-07T09:57:48.6467102Z triton_mm_1477 0.0102 ms 86.2% 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 2025-09-07T09:57:48.6468523Z triton_mm_1481 0.0103 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 2025-09-07T09:57:48.6469948Z triton_mm_1471 0.0105 ms 84.1% 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 2025-09-07T09:57:48.6471516Z triton_mm_1480 0.0106 ms 82.8% 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 2025-09-07T09:57:48.6472936Z triton_mm_1472 0.0113 ms 78.1% 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 2025-09-07T09:57:48.6474163Z SingleProcess AUTOTUNE benchmarking takes 0.2282 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:57:51.9179147Z Autotune Choices Stats: 2025-09-07T09:57:51.9180958Z {"num_choices": 23, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.0589120015501976, "best_triton_pos": 1, "best_triton_time": 0.10371199995279312, "best_triton_kernel": "triton_mm_1414", "best_triton_kernel_desc": "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"} 2025-09-07T09:57:51.9626489Z AUTOTUNE mm(512x32008, 32008x768) 2025-09-07T09:57:51.9626840Z strides: [32064, 1], [768, 1] 2025-09-07T09:57:51.9627071Z dtypes: torch.float16, torch.float16 2025-09-07T09:57:51.9627300Z mm 0.0589 ms 100.0% 2025-09-07T09:57:51.9627848Z triton_mm_1414 0.1037 ms 56.8% 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 2025-09-07T09:57:51.9628808Z triton_mm_1418 0.1276 ms 46.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:57:51.9629733Z triton_mm_1410 0.1469 ms 40.1% 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 2025-09-07T09:57:51.9630482Z decompose_k_mm_4_split_1 0.1798 ms 32.8% k_split=4 2025-09-07T09:57:51.9631083Z triton_mm_1424 0.1892 ms 31.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:57:51.9631957Z triton_mm_1413 0.1995 ms 29.5% 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 2025-09-07T09:57:51.9632838Z triton_mm_1417 0.2074 ms 28.4% 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 2025-09-07T09:57:51.9634623Z triton_mm_1409 0.2335 ms 25.2% 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 2025-09-07T09:57:51.9635523Z triton_mm_1423 0.2362 ms 24.9% 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 2025-09-07T09:57:51.9636332Z SingleProcess AUTOTUNE benchmarking takes 1.1235 seconds and 0.0002 seconds precompiling for 23 choices 2025-09-07T09:57:52.3724758Z Autotune Choices Stats: 2025-09-07T09:57:52.3726205Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.04934399947524071, "best_triton_pos": 1, "best_triton_time": 0.0589120015501976, "best_triton_kernel": "triton_mm_1441", "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"} 2025-09-07T09:57:52.4375626Z AUTOTUNE mm(32008x512, 512x768) 2025-09-07T09:57:52.4375917Z strides: [512, 1], [768, 1] 2025-09-07T09:57:52.4376199Z dtypes: torch.float16, torch.float16 2025-09-07T09:57:52.4376471Z mm 0.0493 ms 100.0% 2025-09-07T09:57:52.4377130Z triton_mm_1441 0.0589 ms 83.8% 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 2025-09-07T09:57:52.4378281Z triton_mm_1442 0.0596 ms 82.8% 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 2025-09-07T09:57:52.4379360Z triton_mm_1443 0.0664 ms 74.3% 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 2025-09-07T09:57:52.4380820Z triton_mm_1434 0.0680 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=3, num_warps=4 2025-09-07T09:57:52.4381904Z triton_mm_1436 0.0686 ms 71.9% 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 2025-09-07T09:57:52.4383041Z triton_mm_1435 0.0718 ms 68.7% 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 2025-09-07T09:57:52.4384078Z triton_mm_1439 0.0776 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 2025-09-07T09:57:52.4385119Z triton_mm_1438 0.0789 ms 62.5% 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 2025-09-07T09:57:52.4386169Z triton_mm_1437 0.0893 ms 55.2% 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 2025-09-07T09:57:52.4387110Z SingleProcess AUTOTUNE benchmarking takes 0.4738 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:57:52.6361707Z Autotune Choices Stats: 2025-09-07T09:57:52.6362810Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_1452", "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": 0.008927999995648861, "best_triton_pos": 0} 2025-09-07T09:57:52.6681434Z AUTOTUNE mm(512x768, 768x768) 2025-09-07T09:57:52.6681733Z strides: [768, 1], [768, 1] 2025-09-07T09:57:52.6681989Z dtypes: torch.float16, torch.float16 2025-09-07T09:57:52.6682689Z triton_mm_1452 0.0089 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 2025-09-07T09:57:52.6683997Z mm 0.0092 ms 97.2% 2025-09-07T09:57:52.6684626Z triton_mm_1456 0.0098 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 2025-09-07T09:57:52.6685680Z triton_mm_1451 0.0111 ms 80.6% 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 2025-09-07T09:57:52.6686794Z triton_mm_1455 0.0112 ms 79.9% 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 2025-09-07T09:57:52.6687771Z triton_mm_1462 0.0116 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 2025-09-07T09:57:52.6688707Z triton_mm_1448 0.0117 ms 76.2% 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 2025-09-07T09:57:52.6689647Z triton_mm_1454 0.0120 ms 74.2% 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 2025-09-07T09:57:52.6690910Z triton_mm_1458 0.0122 ms 73.0% 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 2025-09-07T09:57:52.6691869Z triton_mm_1461 0.0123 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 2025-09-07T09:57:52.6692700Z SingleProcess AUTOTUNE benchmarking takes 0.2296 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:57:53.0484847Z Autotune Choices Stats: 2025-09-07T09:57:53.0486664Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.012959999963641167, "best_triton_pos": 1, "best_triton_time": 0.014047999866306782, "best_triton_kernel": "triton_mm_1528", "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"} 2025-09-07T09:57:53.1625804Z AUTOTUNE mm(512x3072, 3072x768) 2025-09-07T09:57:53.1626150Z strides: [3072, 1], [768, 1] 2025-09-07T09:57:53.1626452Z dtypes: torch.float16, torch.float16 2025-09-07T09:57:53.1626782Z mm 0.0130 ms 100.0% 2025-09-07T09:57:53.1627496Z triton_mm_1528 0.0140 ms 92.3% 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 2025-09-07T09:57:53.1628519Z triton_mm_1532 0.0168 ms 77.0% 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 2025-09-07T09:57:53.1629563Z triton_mm_1524 0.0205 ms 63.1% 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 2025-09-07T09:57:53.1633633Z triton_mm_1538 0.0239 ms 54.2% 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 2025-09-07T09:57:53.1634692Z triton_mm_1531 0.0256 ms 50.6% 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 2025-09-07T09:57:53.1635705Z triton_mm_1527 0.0259 ms 50.1% 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 2025-09-07T09:57:53.1636724Z triton_mm_1537 0.0283 ms 45.8% 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 2025-09-07T09:57:53.1638311Z triton_mm_1523 0.0289 ms 44.8% 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 2025-09-07T09:57:53.1639247Z triton_mm_1521 0.0297 ms 43.7% 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 2025-09-07T09:57:53.1640069Z SingleProcess AUTOTUNE benchmarking takes 0.4932 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:57:56.6969508Z 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 2025-09-07T09:57:56.6971068Z pred = mod(**cloned_inputs) 2025-09-07T09:57:56.6971991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 1038, in forward 2025-09-07T09:57:56.6972689Z outputs = self.roberta( 2025-09-07T09:57:56.6973519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 886, in forward 2025-09-07T09:57:56.6974379Z embedding_output = self.embeddings( 2025-09-07T09:57:56.6975033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 118, in forward 2025-09-07T09:57:56.6975904Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T09:57:56.6976261Z 2025-09-07T09:57:56.6976265Z 2025-09-07T09:57:57.5573759Z W0907 09:57:57.556000 20759 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:58:25.1520087Z Run failed with return code: -11 2025-09-07T09:58:25.1520887Z Output: None 2025-09-07T09:58:25.1521088Z Error: None 2025-09-07T09:58:26.1726409Z /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. 2025-09-07T09:58:26.1727944Z import pynvml # type: ignore[import] 2025-09-07T09:58:29.3256267Z /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. 2025-09-07T09:58:29.3257784Z from pkg_resources import resource_filename 2025-09-07T09:58:30.1641913Z 2025-09-07T09:58:41.3184985Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:58:41.3185331Z loading model: 0it [00:11, ?it/s] 2025-09-07T09:58:41.3185606Z cuda train DebertaV2ForMaskedLM 2025-09-07T09:58:41.3398827Z pass_due_to_skip 2025-09-07T09:58:43.8775630Z /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. 2025-09-07T09:58:43.8776978Z import pynvml # type: ignore[import] 2025-09-07T09:58:47.0779803Z /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. 2025-09-07T09:58:47.0781860Z from pkg_resources import resource_filename 2025-09-07T09:58:47.7918426Z 2025-09-07T09:58:57.1299318Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:58:57.1299914Z loading model: 0it [00:09, ?it/s] 2025-09-07T09:58:57.1301901Z cuda train DebertaV2ForQuestionAnswering 2025-09-07T09:59:36.2239294Z Autotune Choices Stats: 2025-09-07T09:59:36.2240814Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.022592000663280487, "best_triton_pos": 1, "best_triton_time": 0.02486399933695793, "best_triton_kernel": "triton_mm_124", "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"} 2025-09-07T09:59:36.2536068Z AUTOTUNE addmm(512x6144, 512x1536, 1536x6144) 2025-09-07T09:59:36.2536406Z strides: [0, 1], [1536, 1], [1, 1536] 2025-09-07T09:59:36.2536748Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:59:36.2537084Z bias_addmm 0.0226 ms 100.0% 2025-09-07T09:59:36.2537748Z triton_mm_124 0.0249 ms 90.9% 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 2025-09-07T09:59:36.2538840Z triton_mm_130 0.0259 ms 87.3% 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 2025-09-07T09:59:36.2539918Z triton_mm_131 0.0292 ms 77.2% 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 2025-09-07T09:59:36.2540714Z addmm 0.0301 ms 75.0% 2025-09-07T09:59:36.2541322Z triton_mm_123 0.0320 ms 70.5% 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 2025-09-07T09:59:36.2542377Z triton_mm_125 0.0329 ms 68.7% 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 2025-09-07T09:59:36.2543518Z triton_mm_122 0.0337 ms 67.0% 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 2025-09-07T09:59:36.2544569Z triton_mm_126 0.0338 ms 66.8% 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 2025-09-07T09:59:36.2545594Z triton_mm_127 0.0347 ms 65.1% 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 2025-09-07T09:59:36.2546514Z SingleProcess AUTOTUNE benchmarking takes 0.3429 seconds and 0.0004 seconds precompiling for 21 choices 2025-09-07T09:59:37.2016880Z Autotune Choices Stats: 2025-09-07T09:59:37.2018423Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01228800043463707, "best_triton_pos": 1, "best_triton_time": 0.013567999936640263, "best_triton_kernel": "triton_mm_31", "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"} 2025-09-07T09:59:37.3772631Z AUTOTUNE mm(512x1536, 1536x1536) 2025-09-07T09:59:37.3773136Z strides: [1536, 1], [1, 1536] 2025-09-07T09:59:37.3773588Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:37.3774027Z mm 0.0123 ms 100.0% 2025-09-07T09:59:37.3775152Z triton_mm_31 0.0136 ms 90.6% 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 2025-09-07T09:59:37.3776937Z triton_mm_37 0.0153 ms 80.2% 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 2025-09-07T09:59:37.3778057Z triton_mm_27 0.0161 ms 76.2% 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 2025-09-07T09:59:37.3779354Z triton_mm_26 0.0168 ms 73.3% 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 2025-09-07T09:59:37.3780812Z triton_mm_30 0.0177 ms 69.3% 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 2025-09-07T09:59:37.3781734Z triton_mm_36 0.0191 ms 64.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:59:37.3782637Z triton_mm_33 0.0194 ms 63.4% 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 2025-09-07T09:59:37.3783652Z triton_mm_23 0.0196 ms 62.5% 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 2025-09-07T09:59:37.3784566Z triton_mm_29 0.0198 ms 62.1% 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 2025-09-07T09:59:37.3785375Z SingleProcess AUTOTUNE benchmarking takes 0.4218 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:59:39.9799473Z Autotune Choices Stats: 2025-09-07T09:59:39.9800801Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_73", "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": 0.01152000017464161, "best_triton_pos": 0} 2025-09-07T09:59:40.1389592Z AUTOTUNE bmm(24x512x64, 24x64x512) 2025-09-07T09:59:40.1389871Z strides: [32768, 64, 1], [64, 1, 1536] 2025-09-07T09:59:40.1390130Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:40.1391138Z triton_bmm_73 0.0115 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 2025-09-07T09:59:40.1392164Z triton_bmm_66 0.0124 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 2025-09-07T09:59:40.1393117Z triton_bmm_69 0.0124 ms 92.8% 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=4, num_warps=4 2025-09-07T09:59:40.1394048Z triton_bmm_68 0.0124 ms 92.5% 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 2025-09-07T09:59:40.1394973Z triton_bmm_70 0.0127 ms 90.9% 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 2025-09-07T09:59:40.1395912Z triton_bmm_65 0.0128 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=5, num_warps=4 2025-09-07T09:59:40.1396855Z triton_bmm_71 0.0130 ms 88.5% 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 2025-09-07T09:59:40.1397785Z triton_bmm_75 0.0130 ms 88.5% 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 2025-09-07T09:59:40.1398722Z triton_bmm_67 0.0133 ms 86.7% 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 2025-09-07T09:59:40.1399642Z triton_bmm_74 0.0135 ms 85.3% 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 2025-09-07T09:59:40.1400901Z SingleProcess AUTOTUNE benchmarking takes 0.3963 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:59:40.3614285Z Autotune Choices Stats: 2025-09-07T09:59:40.3615410Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_87", "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": 0.013407999649643898, "best_triton_pos": 0} 2025-09-07T09:59:40.3681197Z AUTOTUNE bmm(24x512x512, 24x512x64) 2025-09-07T09:59:40.3681512Z strides: [262144, 512, 1], [32768, 64, 1] 2025-09-07T09:59:40.3681811Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:40.3682511Z triton_bmm_87 0.0134 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 2025-09-07T09:59:40.3683582Z triton_bmm_93 0.0136 ms 98.6% 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 2025-09-07T09:59:40.3684627Z triton_bmm_83 0.0139 ms 96.8% 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 2025-09-07T09:59:40.3685655Z triton_bmm_92 0.0139 ms 96.8% 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 2025-09-07T09:59:40.3686298Z bmm 0.0141 ms 94.8% 2025-09-07T09:59:40.3686884Z triton_bmm_84 0.0148 ms 90.7% 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 2025-09-07T09:59:40.3687971Z triton_bmm_88 0.0148 ms 90.5% 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=4, num_warps=4 2025-09-07T09:59:40.3688890Z triton_bmm_77 0.0149 ms 89.7% 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 2025-09-07T09:59:40.3689807Z triton_bmm_86 0.0150 ms 89.3% 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 2025-09-07T09:59:40.3691074Z triton_bmm_78 0.0151 ms 89.0% 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 2025-09-07T09:59:40.3691889Z SingleProcess AUTOTUNE benchmarking takes 0.2285 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:59:40.6380654Z Autotune Choices Stats: 2025-09-07T09:59:40.6382073Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.012768000364303589, "best_triton_pos": 1, "best_triton_time": 0.014047999866306782, "best_triton_kernel": "triton_mm_106", "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"} 2025-09-07T09:59:40.7941493Z AUTOTUNE addmm(512x1536, 512x1536, 1536x1536) 2025-09-07T09:59:40.7941865Z strides: [0, 1], [1536, 1], [1, 1536] 2025-09-07T09:59:40.7942186Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:59:40.7942522Z bias_addmm 0.0128 ms 100.0% 2025-09-07T09:59:40.7943312Z triton_mm_106 0.0140 ms 90.9% 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 2025-09-07T09:59:40.7944389Z triton_mm_112 0.0163 ms 78.4% 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 2025-09-07T09:59:40.7945045Z addmm 0.0167 ms 76.4% 2025-09-07T09:59:40.7946313Z triton_mm_102 0.0171 ms 74.7% 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 2025-09-07T09:59:40.7947726Z triton_mm_101 0.0173 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 2025-09-07T09:59:40.7948760Z triton_mm_105 0.0182 ms 70.0% 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 2025-09-07T09:59:40.7949748Z triton_mm_108 0.0200 ms 63.8% 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 2025-09-07T09:59:40.7950939Z triton_mm_111 0.0200 ms 63.8% 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 2025-09-07T09:59:40.7951954Z triton_mm_104 0.0205 ms 62.3% 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 2025-09-07T09:59:40.7952830Z SingleProcess AUTOTUNE benchmarking takes 0.4252 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T09:59:41.1655018Z Autotune Choices Stats: 2025-09-07T09:59:41.1656508Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.027871999889612198, "best_triton_pos": 1, "best_triton_time": 0.03094400092959404, "best_triton_kernel": "triton_mm_144", "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"} 2025-09-07T09:59:41.2425460Z AUTOTUNE addmm(512x1536, 512x6144, 6144x1536) 2025-09-07T09:59:41.2425849Z strides: [0, 1], [6144, 1], [1, 6144] 2025-09-07T09:59:41.2426184Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:59:41.2426533Z bias_addmm 0.0279 ms 100.0% 2025-09-07T09:59:41.2427265Z triton_mm_144 0.0309 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 2025-09-07T09:59:41.2428082Z addmm 0.0316 ms 88.2% 2025-09-07T09:59:41.2428679Z triton_mm_150 0.0391 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 2025-09-07T09:59:41.2429681Z triton_mm_140 0.0400 ms 69.7% 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 2025-09-07T09:59:41.2432066Z triton_mm_139 0.0528 ms 52.8% 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 2025-09-07T09:59:41.2433077Z triton_mm_143 0.0529 ms 52.7% 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 2025-09-07T09:59:41.2434086Z triton_mm_136 0.0538 ms 51.8% 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 2025-09-07T09:59:41.2435085Z triton_mm_149 0.0560 ms 49.8% 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 2025-09-07T09:59:41.2436079Z triton_mm_146 0.0646 ms 43.1% 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 2025-09-07T09:59:41.2436954Z SingleProcess AUTOTUNE benchmarking takes 0.4469 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T09:59:41.6879064Z Autotune Choices Stats: 2025-09-07T09:59:41.6881061Z {"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": 0.009312000125646591, "best_triton_pos": 0} 2025-09-07T09:59:41.8665353Z AUTOTUNE mm(512x1536, 1536x2) 2025-09-07T09:59:41.8665650Z strides: [1536, 1], [1, 1536] 2025-09-07T09:59:41.8665914Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:41.8666632Z triton_mm_3628 0.0093 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 2025-09-07T09:59:41.8667753Z triton_mm_3634 0.0098 ms 95.4% 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 2025-09-07T09:59:41.8668862Z triton_mm_3639 0.0115 ms 80.8% 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 2025-09-07T09:59:41.8669875Z triton_mm_3626 0.0137 ms 68.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T09:59:41.8671179Z triton_mm_3631 0.0138 ms 67.5% 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 2025-09-07T09:59:41.8672175Z triton_mm_3627 0.0139 ms 66.9% 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 2025-09-07T09:59:41.8673164Z triton_mm_3625 0.0150 ms 62.0% 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 2025-09-07T09:59:41.8674166Z triton_mm_3638 0.0153 ms 60.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:59:41.8674822Z mm 0.0160 ms 58.1% 2025-09-07T09:59:41.8675394Z triton_mm_3633 0.0160 ms 58.1% 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 2025-09-07T09:59:41.8676266Z SingleProcess AUTOTUNE benchmarking takes 0.4597 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:00:09.9888222Z Autotune Choices Stats: 2025-09-07T10:00:09.9889710Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.02304000034928322, "best_triton_pos": 1, "best_triton_time": 0.027264000847935677, "best_triton_kernel": "triton_mm_3701", "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"} 2025-09-07T10:00:09.9927431Z AUTOTUNE mm(1536x512, 512x6144) 2025-09-07T10:00:09.9927723Z strides: [1, 1536], [6144, 1] 2025-09-07T10:00:09.9928041Z dtypes: torch.float16, torch.float16 2025-09-07T10:00:09.9928351Z mm 0.0230 ms 100.0% 2025-09-07T10:00:09.9928998Z triton_mm_3701 0.0273 ms 84.5% 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 2025-09-07T10:00:09.9930064Z triton_mm_3709 0.0280 ms 82.3% 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 2025-09-07T10:00:09.9931310Z triton_mm_3705 0.0284 ms 81.3% 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 2025-09-07T10:00:09.9932365Z triton_mm_3708 0.0298 ms 77.3% 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 2025-09-07T10:00:09.9934101Z triton_mm_3706 0.0307 ms 75.1% 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 2025-09-07T10:00:09.9935455Z triton_mm_3702 0.0308 ms 74.8% 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 2025-09-07T10:00:09.9936543Z triton_mm_3703 0.0311 ms 74.1% 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 2025-09-07T10:00:09.9937490Z triton_mm_3710 0.0324 ms 71.2% 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 2025-09-07T10:00:09.9938423Z triton_mm_3698 0.0390 ms 59.1% 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 2025-09-07T10:00:09.9939239Z SingleProcess AUTOTUNE benchmarking takes 0.2734 seconds and 0.0006 seconds precompiling for 20 choices 2025-09-07T10:00:10.4822322Z Autotune Choices Stats: 2025-09-07T10:00:10.4823885Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.02304000034928322, "best_triton_pos": 1, "best_triton_time": 0.027103999629616737, "best_triton_kernel": "triton_mm_3739", "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"} 2025-09-07T10:00:10.5075274Z AUTOTUNE mm(6144x512, 512x1536) 2025-09-07T10:00:10.5075568Z strides: [1, 6144], [1536, 1] 2025-09-07T10:00:10.5075872Z dtypes: torch.float16, torch.float16 2025-09-07T10:00:10.5076195Z mm 0.0230 ms 100.0% 2025-09-07T10:00:10.5076860Z triton_mm_3739 0.0271 ms 85.0% 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 2025-09-07T10:00:10.5077910Z triton_mm_3747 0.0281 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 2025-09-07T10:00:10.5078935Z triton_mm_3743 0.0284 ms 81.1% 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 2025-09-07T10:00:10.5079939Z triton_mm_3746 0.0291 ms 79.2% 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 2025-09-07T10:00:10.5081331Z triton_mm_3741 0.0292 ms 78.9% 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 2025-09-07T10:00:10.5082349Z triton_mm_3740 0.0305 ms 75.5% 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 2025-09-07T10:00:10.5083351Z triton_mm_3744 0.0316 ms 73.0% 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 2025-09-07T10:00:10.5084352Z triton_mm_3748 0.0319 ms 72.1% 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 2025-09-07T10:00:10.5085346Z triton_mm_3737 0.0387 ms 59.6% 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 2025-09-07T10:00:10.5086225Z SingleProcess AUTOTUNE benchmarking takes 0.2923 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:00:11.2379767Z Autotune Choices Stats: 2025-09-07T10:00:11.2382358Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.02147199958562851, "best_triton_pos": 1, "best_triton_time": 0.02316799946129322, "best_triton_kernel": "triton_mm_3684", "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"} 2025-09-07T10:00:11.2642743Z AUTOTUNE mm(512x1536, 1536x6144) 2025-09-07T10:00:11.2643008Z strides: [1536, 1], [6144, 1] 2025-09-07T10:00:11.2643263Z dtypes: torch.float16, torch.float16 2025-09-07T10:00:11.2643527Z mm 0.0215 ms 100.0% 2025-09-07T10:00:11.2644137Z triton_mm_3684 0.0232 ms 92.7% 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 2025-09-07T10:00:11.2645173Z triton_mm_3683 0.0245 ms 87.6% 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 2025-09-07T10:00:11.2646200Z triton_mm_3690 0.0248 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 2025-09-07T10:00:11.2647206Z triton_mm_3691 0.0269 ms 79.8% 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 2025-09-07T10:00:11.2648137Z triton_mm_3682 0.0293 ms 73.3% 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 2025-09-07T10:00:11.2649067Z triton_mm_3689 0.0297 ms 72.2% 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 2025-09-07T10:00:11.2649995Z triton_mm_3685 0.0300 ms 71.7% 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 2025-09-07T10:00:11.2651141Z triton_mm_3686 0.0304 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=3, num_warps=4 2025-09-07T10:00:11.2652080Z triton_mm_3687 0.0311 ms 69.1% 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 2025-09-07T10:00:11.2652890Z SingleProcess AUTOTUNE benchmarking takes 0.2883 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:00:12.2307532Z Autotune Choices Stats: 2025-09-07T10:00:12.2308891Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010879999957978725, "best_triton_pos": 1, "best_triton_time": 0.012191999703645706, "best_triton_kernel": "triton_mm_3927", "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"} 2025-09-07T10:00:12.2598808Z AUTOTUNE mm(1536x512, 512x1536) 2025-09-07T10:00:12.2599143Z strides: [512, 1], [1536, 1] 2025-09-07T10:00:12.2599433Z dtypes: torch.float16, torch.float16 2025-09-07T10:00:12.2599709Z mm 0.0109 ms 100.0% 2025-09-07T10:00:12.2600531Z triton_mm_3927 0.0122 ms 89.2% 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 2025-09-07T10:00:12.2601647Z triton_mm_3926 0.0129 ms 84.6% 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 2025-09-07T10:00:12.2602713Z triton_mm_3933 0.0130 ms 83.7% 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 2025-09-07T10:00:12.2603768Z triton_mm_3925 0.0133 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 2025-09-07T10:00:12.2605405Z triton_mm_3930 0.0136 ms 80.0% 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 2025-09-07T10:00:12.2606755Z triton_mm_3929 0.0138 ms 78.7% 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 2025-09-07T10:00:12.2607694Z triton_mm_3932 0.0139 ms 78.3% 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 2025-09-07T10:00:12.2608616Z triton_mm_3923 0.0147 ms 74.2% 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 2025-09-07T10:00:12.2609544Z triton_mm_3934 0.0150 ms 72.3% 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 2025-09-07T10:00:12.2610512Z SingleProcess AUTOTUNE benchmarking takes 0.2342 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:00:12.7282347Z Autotune Choices Stats: 2025-09-07T10:00:12.7283807Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010816000401973724, "best_triton_pos": 1, "best_triton_time": 0.01206399966031313, "best_triton_kernel": "triton_mm_3779", "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"} 2025-09-07T10:00:12.7302238Z AUTOTUNE mm(1536x512, 512x1536) 2025-09-07T10:00:12.7302468Z strides: [1, 1536], [1536, 1] 2025-09-07T10:00:12.7302688Z dtypes: torch.float16, torch.float16 2025-09-07T10:00:12.7303015Z mm 0.0108 ms 100.0% 2025-09-07T10:00:12.7303572Z triton_mm_3779 0.0121 ms 89.7% 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 2025-09-07T10:00:12.7304469Z triton_mm_3778 0.0125 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:00:12.7305357Z triton_mm_3782 0.0128 ms 84.3% 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 2025-09-07T10:00:12.7306238Z triton_mm_3781 0.0130 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 2025-09-07T10:00:12.7307246Z triton_mm_3777 0.0131 ms 82.8% 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 2025-09-07T10:00:12.7308255Z triton_mm_3785 0.0131 ms 82.6% 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 2025-09-07T10:00:12.7309272Z triton_mm_3784 0.0136 ms 79.3% 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 2025-09-07T10:00:12.7310658Z triton_mm_3775 0.0144 ms 75.3% 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 2025-09-07T10:00:12.7311730Z triton_mm_3786 0.0159 ms 68.1% 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 2025-09-07T10:00:12.7312615Z SingleProcess AUTOTUNE benchmarking takes 0.2063 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:00:13.6006322Z Autotune Choices Stats: 2025-09-07T10:00:13.6007977Z {"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": 0.008224000222980976, "best_triton_pos": 0} 2025-09-07T10:00:13.6025909Z AUTOTUNE mm(2x512, 512x1536) 2025-09-07T10:00:13.6026135Z strides: [1, 2], [1536, 1] 2025-09-07T10:00:13.6026375Z dtypes: torch.float16, torch.float16 2025-09-07T10:00:13.6027018Z triton_mm_3660 0.0082 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 2025-09-07T10:00:13.6028054Z triton_mm_3664 0.0084 ms 97.7% 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 2025-09-07T10:00:13.6029055Z triton_mm_3658 0.0090 ms 91.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:00:13.6030060Z triton_mm_3659 0.0090 ms 91.5% 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 2025-09-07T10:00:13.6031526Z triton_mm_3668 0.0091 ms 90.2% 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 2025-09-07T10:00:13.6032559Z triton_mm_3672 0.0091 ms 90.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:00:13.6033551Z triton_mm_3663 0.0092 ms 88.9% 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 2025-09-07T10:00:13.6034548Z triton_mm_3657 0.0096 ms 85.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:00:13.6035540Z triton_mm_3670 0.0096 ms 85.4% 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 2025-09-07T10:00:13.6036523Z triton_mm_3666 0.0099 ms 83.2% 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 2025-09-07T10:00:13.6037402Z SingleProcess AUTOTUNE benchmarking takes 0.1858 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:00:14.8574820Z Autotune Choices Stats: 2025-09-07T10:00:14.8575965Z {"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": 0.006335999816656113, "best_triton_pos": 0} 2025-09-07T10:00:14.8595099Z AUTOTUNE mm(512x2, 2x1536) 2025-09-07T10:00:14.8595371Z strides: [2, 1], [1536, 1] 2025-09-07T10:00:14.8595611Z dtypes: torch.float16, torch.float16 2025-09-07T10:00:14.8596292Z triton_mm_3646 0.0063 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 2025-09-07T10:00:14.8597408Z triton_mm_3642 0.0064 ms 99.5% 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 2025-09-07T10:00:14.8598656Z triton_mm_3641 0.0064 ms 99.0% 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 2025-09-07T10:00:14.8599700Z triton_mm_3645 0.0064 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:00:14.8601675Z triton_mm_3648 0.0064 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:00:14.8602967Z triton_mm_3649 0.0064 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:00:14.8604031Z triton_mm_3647 0.0065 ms 98.0% 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 2025-09-07T10:00:14.8605084Z triton_mm_3644 0.0065 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:00:14.8606125Z triton_mm_3640 0.0066 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:00:14.8607195Z triton_mm_3651 0.0066 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:00:14.8608006Z SingleProcess AUTOTUNE benchmarking takes 0.1578 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:00:15.1947336Z Autotune Choices Stats: 2025-09-07T10:00:15.1948716Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.02703999914228916, "best_triton_pos": 1, "best_triton_time": 0.029791999608278275, "best_triton_kernel": "triton_mm_3723", "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"} 2025-09-07T10:00:15.1967046Z AUTOTUNE mm(512x6144, 6144x1536) 2025-09-07T10:00:15.1967323Z strides: [6144, 1], [1536, 1] 2025-09-07T10:00:15.1967633Z dtypes: torch.float16, torch.float16 2025-09-07T10:00:15.1967966Z mm 0.0270 ms 100.0% 2025-09-07T10:00:15.1968672Z triton_mm_3723 0.0298 ms 90.8% 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 2025-09-07T10:00:15.1969771Z triton_mm_3719 0.0385 ms 70.2% 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 2025-09-07T10:00:15.1971038Z triton_mm_3729 0.0401 ms 67.4% 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 2025-09-07T10:00:15.1972114Z triton_mm_3722 0.0498 ms 54.3% 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 2025-09-07T10:00:15.1973181Z triton_mm_3718 0.0508 ms 53.2% 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 2025-09-07T10:00:15.1974228Z triton_mm_3715 0.0518 ms 52.2% 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 2025-09-07T10:00:15.1975270Z triton_mm_3728 0.0536 ms 50.5% 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 2025-09-07T10:00:15.1976312Z triton_mm_3725 0.0586 ms 46.1% 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 2025-09-07T10:00:15.1977369Z triton_mm_3721 0.0589 ms 45.9% 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 2025-09-07T10:00:15.1978746Z SingleProcess AUTOTUNE benchmarking takes 0.3359 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:00:15.4139412Z Autotune Choices Stats: 2025-09-07T10:00:15.4141205Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011552000418305397, "best_triton_pos": 1, "best_triton_time": 0.012927999719977379, "best_triton_kernel": "triton_mm_3761", "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"} 2025-09-07T10:00:15.4160769Z AUTOTUNE mm(512x1536, 1536x1536) 2025-09-07T10:00:15.4161061Z strides: [1536, 1], [1536, 1] 2025-09-07T10:00:15.4161321Z dtypes: torch.float16, torch.float16 2025-09-07T10:00:15.4161595Z mm 0.0116 ms 100.0% 2025-09-07T10:00:15.4162245Z triton_mm_3761 0.0129 ms 89.4% 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 2025-09-07T10:00:15.4163379Z triton_mm_3767 0.0148 ms 77.8% 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 2025-09-07T10:00:15.4164503Z triton_mm_3757 0.0157 ms 73.5% 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 2025-09-07T10:00:15.4165589Z triton_mm_3756 0.0163 ms 70.8% 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 2025-09-07T10:00:15.4166658Z triton_mm_3760 0.0169 ms 68.4% 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 2025-09-07T10:00:15.4167762Z triton_mm_3759 0.0180 ms 64.1% 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 2025-09-07T10:00:15.4168700Z triton_mm_3763 0.0183 ms 63.0% 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 2025-09-07T10:00:15.4169645Z triton_mm_3766 0.0184 ms 62.8% 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 2025-09-07T10:00:15.4170761Z triton_mm_3753 0.0200 ms 57.8% 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 2025-09-07T10:00:15.4171582Z SingleProcess AUTOTUNE benchmarking takes 0.2181 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:00:15.6041853Z Autotune Choices Stats: 2025-09-07T10:00:15.6042994Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_3798", "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": 0.013376000337302685, "best_triton_pos": 0} 2025-09-07T10:00:15.6063179Z AUTOTUNE bmm(24x512x512, 24x512x64) 2025-09-07T10:00:15.6063414Z strides: [262144, 1, 512], [64, 1536, 1] 2025-09-07T10:00:15.6063661Z dtypes: torch.float16, torch.float16 2025-09-07T10:00:15.6064239Z triton_bmm_3798 0.0134 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 2025-09-07T10:00:15.6065140Z triton_bmm_3801 0.0134 ms 99.5% 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 2025-09-07T10:00:15.6066028Z triton_bmm_3804 0.0135 ms 99.1% 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 2025-09-07T10:00:15.6067265Z triton_bmm_3803 0.0135 ms 98.8% 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 2025-09-07T10:00:15.6068469Z triton_bmm_3794 0.0136 ms 98.4% 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 2025-09-07T10:00:15.6069471Z triton_bmm_3797 0.0136 ms 98.4% 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 2025-09-07T10:00:15.6070096Z bmm 0.0139 ms 96.1% 2025-09-07T10:00:15.6070841Z triton_bmm_3790 0.0142 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 2025-09-07T10:00:15.6071838Z triton_bmm_3789 0.0142 ms 93.9% 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 2025-09-07T10:00:15.6072844Z triton_bmm_3796 0.0142 ms 93.9% 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 2025-09-07T10:00:15.6073712Z SingleProcess AUTOTUNE benchmarking takes 0.1890 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:00:15.8043411Z Autotune Choices Stats: 2025-09-07T10:00:15.8044556Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_3821", "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": 0.011807999573647976, "best_triton_pos": 0} 2025-09-07T10:00:15.8065067Z AUTOTUNE bmm(24x512x64, 24x64x512) 2025-09-07T10:00:15.8065320Z strides: [64, 1536, 1], [32768, 1, 64] 2025-09-07T10:00:15.8065581Z dtypes: torch.float16, torch.float16 2025-09-07T10:00:15.8066235Z triton_bmm_3821 0.0118 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 2025-09-07T10:00:15.8067247Z triton_bmm_3814 0.0123 ms 95.8% 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 2025-09-07T10:00:15.8068288Z triton_bmm_3813 0.0124 ms 94.9% 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=5, num_warps=4 2025-09-07T10:00:15.8069321Z triton_bmm_3818 0.0126 ms 93.9% 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 2025-09-07T10:00:15.8069955Z bmm 0.0128 ms 92.2% 2025-09-07T10:00:15.8070951Z triton_bmm_3815 0.0132 ms 89.6% 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 2025-09-07T10:00:15.8072015Z triton_bmm_3811 0.0134 ms 87.9% 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 2025-09-07T10:00:15.8073027Z triton_bmm_3817 0.0135 ms 87.6% 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=4, num_warps=4 2025-09-07T10:00:15.8074038Z triton_bmm_3816 0.0136 ms 86.8% 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 2025-09-07T10:00:15.8075054Z triton_bmm_3823 0.0137 ms 86.2% 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 2025-09-07T10:00:15.8075943Z SingleProcess AUTOTUNE benchmarking takes 0.1997 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:00:15.9855650Z Autotune Choices Stats: 2025-09-07T10:00:15.9857745Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_3835", "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": 0.013248000293970108, "best_triton_pos": 0} 2025-09-07T10:00:15.9876683Z AUTOTUNE bmm(24x64x512, 24x512x512) 2025-09-07T10:00:15.9876973Z strides: [32768, 1, 64], [262144, 512, 1] 2025-09-07T10:00:15.9877257Z dtypes: torch.float16, torch.float16 2025-09-07T10:00:15.9878070Z triton_bmm_3835 0.0132 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 2025-09-07T10:00:15.9879280Z triton_bmm_3840 0.0134 ms 98.8% 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=5, num_warps=8 2025-09-07T10:00:15.9880842Z triton_bmm_3831 0.0136 ms 97.4% 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 2025-09-07T10:00:15.9881931Z triton_bmm_3836 0.0136 ms 97.2% 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 2025-09-07T10:00:15.9882991Z triton_bmm_3838 0.0137 ms 96.7% 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 2025-09-07T10:00:15.9884034Z triton_bmm_3834 0.0137 ms 96.5% 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 2025-09-07T10:00:15.9884693Z bmm 0.0139 ms 95.4% 2025-09-07T10:00:15.9885296Z triton_bmm_3826 0.0140 ms 94.5% 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 2025-09-07T10:00:15.9886342Z triton_bmm_3827 0.0140 ms 94.5% 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 2025-09-07T10:00:15.9887389Z triton_bmm_3833 0.0144 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=3, num_warps=4 2025-09-07T10:00:15.9888262Z SingleProcess AUTOTUNE benchmarking takes 0.1807 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:00:16.2082114Z Autotune Choices Stats: 2025-09-07T10:00:16.2083590Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011776000261306763, "best_triton_pos": 1, "best_triton_time": 0.012480000033974648, "best_triton_kernel": "triton_mm_3909", "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"} 2025-09-07T10:00:16.2103569Z AUTOTUNE mm(512x1536, 1536x1536) 2025-09-07T10:00:16.2103808Z strides: [1, 512], [1536, 1] 2025-09-07T10:00:16.2104024Z dtypes: torch.float16, torch.float16 2025-09-07T10:00:16.2104281Z mm 0.0118 ms 100.0% 2025-09-07T10:00:16.2104821Z triton_mm_3909 0.0125 ms 94.4% 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 2025-09-07T10:00:16.2105722Z triton_mm_3905 0.0158 ms 74.6% 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 2025-09-07T10:00:16.2106609Z triton_mm_3915 0.0161 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 2025-09-07T10:00:16.2108123Z triton_mm_3904 0.0163 ms 72.2% 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 2025-09-07T10:00:16.2109311Z triton_mm_3908 0.0168 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 2025-09-07T10:00:16.2110722Z triton_mm_3911 0.0178 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 2025-09-07T10:00:16.2111760Z triton_mm_3907 0.0179 ms 65.9% 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 2025-09-07T10:00:16.2112779Z triton_mm_3914 0.0184 ms 64.1% 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 2025-09-07T10:00:16.2113800Z triton_mm_3901 0.0195 ms 60.4% 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 2025-09-07T10:00:16.2114688Z SingleProcess AUTOTUNE benchmarking takes 0.2197 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:00:23.1274580Z 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 2025-09-07T10:00:23.1275714Z pred = mod(**cloned_inputs) 2025-09-07T10:00:23.1276356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 1231, in forward 2025-09-07T10:00:23.1277013Z outputs = self.deberta( 2025-09-07T10:00:23.1277625Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 778, in forward 2025-09-07T10:00:23.1278339Z embedding_output = self.embeddings( 2025-09-07T10:00:23.1278985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 544, in forward 2025-09-07T10:00:23.1279733Z position_embeddings = self.position_embeddings(position_ids.long()) 2025-09-07T10:00:23.1280037Z 2025-09-07T10:00:23.1280041Z 2025-09-07T10:00:24.6049475Z pass 2025-09-07T10:00:31.1331107Z /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. 2025-09-07T10:00:31.1332515Z import pynvml # type: ignore[import] 2025-09-07T10:00:34.2063673Z /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. 2025-09-07T10:00:34.2065240Z from pkg_resources import resource_filename 2025-09-07T10:00:34.8576911Z 2025-09-07T10:00:36.4133969Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:00:36.4134327Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:00:36.4134643Z cuda train DistilBertForMaskedLM 2025-09-07T10:00:48.5101146Z Autotune Choices Stats: 2025-09-07T10:00:48.5102341Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_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": 0.010111999697983265, "best_triton_pos": 0} 2025-09-07T10:00:48.5124781Z AUTOTUNE addmm(128x3072, 128x768, 768x3072) 2025-09-07T10:00:48.5125078Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:00:48.5125810Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:00:48.5126725Z triton_mm_84 0.0101 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 2025-09-07T10:00:48.5127474Z bias_addmm 0.0109 ms 92.9% 2025-09-07T10:00:48.5128126Z triton_mm_88 0.0113 ms 89.3% 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 2025-09-07T10:00:48.5129168Z triton_mm_80 0.0124 ms 81.9% 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 2025-09-07T10:00:48.5130468Z triton_mm_83 0.0124 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 2025-09-07T10:00:48.5131545Z triton_mm_79 0.0129 ms 78.6% 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 2025-09-07T10:00:48.5132575Z triton_mm_94 0.0129 ms 78.6% 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 2025-09-07T10:00:48.5133618Z triton_mm_87 0.0130 ms 77.8% 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 2025-09-07T10:00:48.5134643Z triton_mm_77 0.0133 ms 76.0% 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 2025-09-07T10:00:48.5135662Z triton_mm_78 0.0141 ms 71.7% 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 2025-09-07T10:00:48.5136593Z SingleProcess AUTOTUNE benchmarking takes 0.2733 seconds and 0.0441 seconds precompiling for 21 choices 2025-09-07T10:00:50.0343350Z Autotune Choices Stats: 2025-09-07T10:00:50.0344506Z {"num_choices": 21, "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": 0.00854399986565113, "best_triton_pos": 0} 2025-09-07T10:00:50.0371694Z AUTOTUNE addmm(128x768, 128x768, 768x768) 2025-09-07T10:00:50.0372034Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:00:50.0372370Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:00:50.0373118Z triton_mm_4 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 2025-09-07T10:00:50.0374235Z triton_mm_8 0.0091 ms 93.7% 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 2025-09-07T10:00:50.0374957Z bias_addmm 0.0092 ms 92.7% 2025-09-07T10:00:50.0375642Z triton_mm_12 0.0101 ms 84.8% 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 2025-09-07T10:00:50.0376724Z triton_mm_3 0.0109 ms 78.5% 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 2025-09-07T10:00:50.0377770Z triton_mm_7 0.0112 ms 76.3% 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 2025-09-07T10:00:50.0378810Z triton_mm_2 0.0113 ms 75.6% 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 2025-09-07T10:00:50.0380519Z triton_mm_1 0.0116 ms 73.8% 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 2025-09-07T10:00:50.0381910Z triton_mm_11 0.0118 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 2025-09-07T10:00:50.0383066Z triton_mm_18 0.0120 ms 71.2% 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 2025-09-07T10:00:50.0384043Z SingleProcess AUTOTUNE benchmarking takes 0.2768 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:00:50.2728699Z Autotune Choices Stats: 2025-09-07T10:00:50.2729803Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_61", "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": 0.0081599997356534, "best_triton_pos": 0} 2025-09-07T10:00:50.2751522Z AUTOTUNE mm(128x768, 768x768) 2025-09-07T10:00:50.2751781Z strides: [768, 1], [1, 768] 2025-09-07T10:00:50.2752021Z dtypes: torch.float16, torch.float16 2025-09-07T10:00:50.2752682Z triton_mm_61 0.0082 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 2025-09-07T10:00:50.2753715Z triton_mm_65 0.0085 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 2025-09-07T10:00:50.2754349Z mm 0.0089 ms 92.1% 2025-09-07T10:00:50.2754931Z triton_mm_69 0.0097 ms 84.4% 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 2025-09-07T10:00:50.2755941Z triton_mm_60 0.0105 ms 77.7% 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 2025-09-07T10:00:50.2756943Z triton_mm_64 0.0108 ms 75.2% 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 2025-09-07T10:00:50.2757938Z triton_mm_59 0.0109 ms 74.8% 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 2025-09-07T10:00:50.2758909Z triton_mm_68 0.0112 ms 72.9% 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 2025-09-07T10:00:50.2759835Z triton_mm_75 0.0112 ms 72.6% 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 2025-09-07T10:00:50.2760902Z triton_mm_58 0.0114 ms 71.6% 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 2025-09-07T10:00:50.2761715Z SingleProcess AUTOTUNE benchmarking takes 0.2353 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:00:50.5678792Z Autotune Choices Stats: 2025-09-07T10:00:50.5680568Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.012736000120639801, "best_triton_pos": 1, "best_triton_time": 0.013824000023305416, "best_triton_kernel": "triton_mm_99", "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"} 2025-09-07T10:00:50.5703777Z AUTOTUNE addmm(128x768, 128x3072, 3072x768) 2025-09-07T10:00:50.5704103Z strides: [0, 1], [3072, 1], [1, 3072] 2025-09-07T10:00:50.5704450Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:00:50.5704788Z bias_addmm 0.0127 ms 100.0% 2025-09-07T10:00:50.5706198Z triton_mm_99 0.0138 ms 92.1% 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 2025-09-07T10:00:50.5707307Z triton_mm_103 0.0148 ms 86.3% 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 2025-09-07T10:00:50.5708054Z addmm 0.0158 ms 80.4% 2025-09-07T10:00:50.5708647Z triton_mm_107 0.0176 ms 72.4% 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 2025-09-07T10:00:50.5709653Z triton_mm_113 0.0233 ms 54.7% 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 2025-09-07T10:00:50.5710816Z triton_mm_98 0.0242 ms 52.6% 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 2025-09-07T10:00:50.5711796Z triton_mm_97 0.0251 ms 50.7% 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 2025-09-07T10:00:50.5712789Z triton_mm_102 0.0261 ms 48.8% 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 2025-09-07T10:00:50.5713777Z triton_mm_96 0.0268 ms 47.6% 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 2025-09-07T10:00:50.5714647Z SingleProcess AUTOTUNE benchmarking takes 0.2946 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:00:50.8858278Z Autotune Choices Stats: 2025-09-07T10:00:50.8859407Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_720", "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": 0.032575998455286026, "best_triton_pos": 0} 2025-09-07T10:00:50.8882957Z AUTOTUNE addmm(128x30522, 128x768, 768x30522) 2025-09-07T10:00:50.8883292Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:00:50.8883618Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:00:50.8884371Z triton_mm_720 0.0326 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 2025-09-07T10:00:50.8885488Z triton_mm_714 0.0348 ms 93.7% 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 2025-09-07T10:00:50.8886537Z triton_mm_721 0.0352 ms 92.6% 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 2025-09-07T10:00:50.8887586Z triton_mm_710 0.0353 ms 92.4% 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 2025-09-07T10:00:50.8888499Z triton_mm_719 0.0371 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 2025-09-07T10:00:50.8889374Z triton_mm_715 0.0382 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 2025-09-07T10:00:50.8890401Z triton_mm_712 0.0386 ms 84.5% 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 2025-09-07T10:00:50.8891521Z triton_mm_713 0.0404 ms 80.7% 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 2025-09-07T10:00:50.8892575Z triton_mm_716 0.0404 ms 80.5% 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 2025-09-07T10:00:50.8893451Z triton_mm_717 0.0410 ms 79.5% 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 2025-09-07T10:00:50.8894218Z SingleProcess AUTOTUNE benchmarking takes 0.2944 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:01:00.1125115Z Autotune Choices Stats: 2025-09-07T10:01:00.1126310Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_753", "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": 0.033535998314619064, "best_triton_pos": 0} 2025-09-07T10:01:00.1150167Z AUTOTUNE mm(30522x128, 128x768) 2025-09-07T10:01:00.1150599Z strides: [1, 30528], [768, 1] 2025-09-07T10:01:00.1150861Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:00.1151523Z triton_mm_753 0.0335 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 2025-09-07T10:01:00.1152549Z triton_mm_751 0.0362 ms 92.7% 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 2025-09-07T10:01:00.1153570Z triton_mm_757 0.0377 ms 88.9% 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 2025-09-07T10:01:00.1154608Z triton_mm_749 0.0381 ms 88.0% 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 2025-09-07T10:01:00.1155631Z triton_mm_750 0.0406 ms 82.6% 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 2025-09-07T10:01:00.1156637Z triton_mm_758 0.0407 ms 82.4% 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 2025-09-07T10:01:00.1157277Z mm 0.0410 ms 81.7% 2025-09-07T10:01:00.1157865Z triton_mm_754 0.0415 ms 80.7% 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 2025-09-07T10:01:00.1158872Z triton_mm_756 0.0418 ms 80.2% 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=2, num_warps=8 2025-09-07T10:01:00.1159881Z triton_mm_752 0.0423 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 2025-09-07T10:01:00.1160905Z SingleProcess AUTOTUNE benchmarking takes 0.7076 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:01:00.5323917Z Autotune Choices Stats: 2025-09-07T10:01:00.5325388Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_826", "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": 0.008960000239312649, "best_triton_pos": 0} 2025-09-07T10:01:00.5349488Z AUTOTUNE mm(768x128, 128x3072) 2025-09-07T10:01:00.5349840Z strides: [1, 768], [3072, 1] 2025-09-07T10:01:00.5350378Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:00.5351305Z triton_mm_826 0.0090 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 2025-09-07T10:01:00.5353243Z mm 0.0090 ms 99.3% 2025-09-07T10:01:00.5354080Z triton_mm_830 0.0092 ms 97.6% 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 2025-09-07T10:01:00.5355522Z triton_mm_828 0.0093 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 2025-09-07T10:01:00.5356943Z triton_mm_833 0.0093 ms 95.9% 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 2025-09-07T10:01:00.5358359Z triton_mm_827 0.0094 ms 94.9% 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 2025-09-07T10:01:00.5359778Z triton_mm_829 0.0094 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 2025-09-07T10:01:00.5361332Z triton_mm_831 0.0095 ms 94.6% 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 2025-09-07T10:01:00.5362727Z triton_mm_823 0.0095 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 2025-09-07T10:01:00.5364124Z triton_mm_825 0.0097 ms 92.7% 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 2025-09-07T10:01:00.5365358Z SingleProcess AUTOTUNE benchmarking takes 0.1919 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:01:00.7444726Z Autotune Choices Stats: 2025-09-07T10:01:00.7446187Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.008832000195980072, "best_triton_pos": 1, "best_triton_time": 0.008991999551653862, "best_triton_kernel": "triton_mm_864", "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"} 2025-09-07T10:01:00.7472963Z AUTOTUNE mm(3072x128, 128x768) 2025-09-07T10:01:00.7473215Z strides: [1, 3072], [768, 1] 2025-09-07T10:01:00.7473465Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:00.7473728Z mm 0.0088 ms 100.0% 2025-09-07T10:01:00.7474348Z triton_mm_864 0.0090 ms 98.2% 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 2025-09-07T10:01:00.7475358Z triton_mm_868 0.0092 ms 95.8% 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 2025-09-07T10:01:00.7476354Z triton_mm_866 0.0093 ms 94.5% 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 2025-09-07T10:01:00.7477370Z triton_mm_871 0.0093 ms 94.5% 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 2025-09-07T10:01:00.7478363Z triton_mm_865 0.0094 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 2025-09-07T10:01:00.7479352Z triton_mm_869 0.0094 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 2025-09-07T10:01:00.7480526Z triton_mm_867 0.0095 ms 93.2% 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 2025-09-07T10:01:00.7481884Z triton_mm_861 0.0096 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:01:00.7483081Z triton_mm_872 0.0098 ms 89.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:01:00.7483954Z SingleProcess AUTOTUNE benchmarking takes 0.1913 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:01:01.0479587Z Autotune Choices Stats: 2025-09-07T10:01:01.0481191Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_790", "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": 0.007296000141650438, "best_triton_pos": 0} 2025-09-07T10:01:01.0507259Z AUTOTUNE mm(768x128, 128x768) 2025-09-07T10:01:01.0507539Z strides: [1, 768], [768, 1] 2025-09-07T10:01:01.0507835Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:01.0508577Z triton_mm_790 0.0073 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 2025-09-07T10:01:01.0509641Z triton_mm_788 0.0073 ms 99.6% 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 2025-09-07T10:01:01.0511001Z triton_mm_789 0.0073 ms 99.6% 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 2025-09-07T10:01:01.0512040Z triton_mm_793 0.0073 ms 99.6% 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 2025-09-07T10:01:01.0512690Z mm 0.0075 ms 97.9% 2025-09-07T10:01:01.0513261Z triton_mm_786 0.0075 ms 97.9% 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 2025-09-07T10:01:01.0514265Z triton_mm_791 0.0075 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 2025-09-07T10:01:01.0515264Z triton_mm_787 0.0076 ms 96.2% 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 2025-09-07T10:01:01.0516254Z triton_mm_792 0.0076 ms 95.8% 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 2025-09-07T10:01:01.0517252Z triton_mm_795 0.0079 ms 92.3% 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 2025-09-07T10:01:01.0518132Z SingleProcess AUTOTUNE benchmarking takes 0.1901 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:01:01.5064495Z Autotune Choices Stats: 2025-09-07T10:01:01.5065985Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.009696000255644321, "best_triton_pos": 1, "best_triton_time": 0.009696000255644321, "best_triton_kernel": "triton_mm_806", "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"} 2025-09-07T10:01:01.5092354Z AUTOTUNE mm(128x768, 768x3072) 2025-09-07T10:01:01.5092629Z strides: [768, 1], [3072, 1] 2025-09-07T10:01:01.5092891Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:01.5093207Z mm 0.0097 ms 100.0% 2025-09-07T10:01:01.5093846Z triton_mm_806 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 2025-09-07T10:01:01.5095376Z triton_mm_810 0.0105 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 2025-09-07T10:01:01.5096679Z triton_mm_805 0.0117 ms 82.8% 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 2025-09-07T10:01:01.5097740Z triton_mm_802 0.0120 ms 81.0% 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 2025-09-07T10:01:01.5098791Z triton_mm_816 0.0120 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 2025-09-07T10:01:01.5099819Z triton_mm_809 0.0122 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 2025-09-07T10:01:01.5101227Z triton_mm_801 0.0124 ms 77.9% 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 2025-09-07T10:01:01.5102145Z triton_mm_808 0.0128 ms 75.9% 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 2025-09-07T10:01:01.5103125Z triton_mm_812 0.0129 ms 75.2% 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 2025-09-07T10:01:01.5103939Z SingleProcess AUTOTUNE benchmarking takes 0.2043 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:01:04.8062787Z Autotune Choices Stats: 2025-09-07T10:01:04.8064457Z {"num_choices": 30, "num_triton_choices": 19, "best_kernel": "decompose_k_mm_4_split_5", "best_kernel_desc": "k_split=4", "best_time": 0.03548799827694893, "best_triton_pos": 5, "best_triton_time": 0.07056000083684921, "best_triton_kernel": "triton_mm_726", "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"} 2025-09-07T10:01:04.8108261Z AUTOTUNE mm(128x30528, 30528x768) 2025-09-07T10:01:04.8108549Z strides: [30528, 1], [768, 1] 2025-09-07T10:01:04.8108812Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:04.8109134Z decompose_k_mm_4_split_5 0.0355 ms 100.0% k_split=4 2025-09-07T10:01:04.8109442Z mm 0.0358 ms 99.1% 2025-09-07T10:01:04.8109691Z decompose_k_mm_6_split_2 0.0376 ms 94.4% k_split=6 2025-09-07T10:01:04.8110063Z decompose_k_mm_3_split_1 0.0377 ms 94.2% k_split=3 2025-09-07T10:01:04.8110863Z decompose_k_mm_2_split_0 0.0408 ms 87.0% k_split=2 2025-09-07T10:01:04.8111700Z triton_mm_726 0.0706 ms 50.3% 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 2025-09-07T10:01:04.8112441Z decompose_k_mm_9_split_3 0.0940 ms 37.7% k_split=9 2025-09-07T10:01:04.8113115Z triton_mm_730 0.0940 ms 37.7% 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 2025-09-07T10:01:04.8113796Z decompose_k_mm_18_split_4 0.0966 ms 36.7% k_split=18 2025-09-07T10:01:04.8114146Z decompose_k_mm_12_split_7 0.0968 ms 36.7% k_split=12 2025-09-07T10:01:04.8114687Z SingleProcess AUTOTUNE benchmarking takes 1.9778 seconds and 0.0002 seconds precompiling for 30 choices 2025-09-07T10:01:05.0164674Z Autotune Choices Stats: 2025-09-07T10:01:05.0165859Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_764", "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": 0.008224000222980976, "best_triton_pos": 0} 2025-09-07T10:01:05.0192161Z AUTOTUNE mm(128x768, 768x768) 2025-09-07T10:01:05.0192436Z strides: [768, 1], [768, 1] 2025-09-07T10:01:05.0192692Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:05.0193362Z triton_mm_764 0.0082 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 2025-09-07T10:01:05.0194380Z triton_mm_768 0.0084 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 2025-09-07T10:01:05.0195003Z mm 0.0086 ms 95.9% 2025-09-07T10:01:05.0195587Z triton_mm_772 0.0094 ms 87.4% 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 2025-09-07T10:01:05.0196589Z triton_mm_763 0.0103 ms 79.8% 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 2025-09-07T10:01:05.0197580Z triton_mm_762 0.0105 ms 78.6% 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 2025-09-07T10:01:05.0198562Z triton_mm_767 0.0105 ms 78.6% 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 2025-09-07T10:01:05.0199552Z triton_mm_771 0.0108 ms 76.3% 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 2025-09-07T10:01:05.0200921Z triton_mm_778 0.0111 ms 73.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:01:05.0201953Z triton_mm_761 0.0115 ms 71.8% 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 2025-09-07T10:01:05.0202831Z SingleProcess AUTOTUNE benchmarking takes 0.2006 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:01:05.2652568Z Autotune Choices Stats: 2025-09-07T10:01:05.2653946Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011648000217974186, "best_triton_pos": 1, "best_triton_time": 0.012671999633312225, "best_triton_kernel": "triton_mm_840", "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"} 2025-09-07T10:01:05.2678661Z AUTOTUNE mm(128x3072, 3072x768) 2025-09-07T10:01:05.2678924Z strides: [3072, 1], [768, 1] 2025-09-07T10:01:05.2679185Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:05.2679444Z mm 0.0116 ms 100.0% 2025-09-07T10:01:05.2680071Z triton_mm_840 0.0127 ms 91.9% 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 2025-09-07T10:01:05.2681520Z triton_mm_844 0.0134 ms 87.1% 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 2025-09-07T10:01:05.2682777Z triton_mm_848 0.0163 ms 71.7% 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 2025-09-07T10:01:05.2683854Z triton_mm_838 0.0233 ms 50.0% 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 2025-09-07T10:01:05.2684891Z triton_mm_839 0.0233 ms 49.9% 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 2025-09-07T10:01:05.2686401Z triton_mm_854 0.0234 ms 49.8% 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 2025-09-07T10:01:05.2687716Z triton_mm_847 0.0248 ms 47.0% 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 2025-09-07T10:01:05.2688744Z triton_mm_843 0.0250 ms 46.5% 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 2025-09-07T10:01:05.2689835Z triton_mm_853 0.0275 ms 42.3% 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 2025-09-07T10:01:05.2690987Z SingleProcess AUTOTUNE benchmarking takes 0.2482 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:01:07.6206847Z 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 2025-09-07T10:01:07.6208147Z pred = mod(**cloned_inputs) 2025-09-07T10:01:07.6208863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward 2025-09-07T10:01:07.6209592Z dlbrt_output = self.distilbert( 2025-09-07T10:01:07.6210752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 723, in forward 2025-09-07T10:01:07.6211622Z embeddings = self.embeddings(input_ids, inputs_embeds) # (bs, seq_length, dim) 2025-09-07T10:01:07.6212488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 124, in forward 2025-09-07T10:01:07.6213384Z position_embeddings = self.position_embeddings(position_ids) # (bs, max_seq_length, dim) 2025-09-07T10:01:07.6213789Z 2025-09-07T10:01:07.6213824Z 2025-09-07T10:01:08.1854191Z W0907 10:01:08.184000 29265 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:01:22.5823253Z Run failed with return code: -11 2025-09-07T10:01:22.5823633Z Output: None 2025-09-07T10:01:22.5823837Z Error: None 2025-09-07T10:01:23.6439497Z /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. 2025-09-07T10:01:23.6441287Z import pynvml # type: ignore[import] 2025-09-07T10:01:26.7363559Z /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. 2025-09-07T10:01:26.7365125Z from pkg_resources import resource_filename 2025-09-07T10:01:27.5250491Z 2025-09-07T10:01:28.9777718Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:01:28.9778030Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:01:28.9778327Z cuda train DistilBertForQuestionAnswering 2025-09-07T10:01:40.8572568Z Autotune Choices Stats: 2025-09-07T10:01:40.8574087Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_688", "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": 0.007679999805986881, "best_triton_pos": 0} 2025-09-07T10:01:40.8618454Z AUTOTUNE mm(128x768, 768x2) 2025-09-07T10:01:40.8618813Z strides: [768, 1], [1, 768] 2025-09-07T10:01:40.8619162Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:40.8621058Z triton_mm_688 0.0077 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 2025-09-07T10:01:40.8622861Z triton_mm_694 0.0080 ms 96.4% 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 2025-09-07T10:01:40.8624287Z triton_mm_699 0.0087 ms 87.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:01:40.8625714Z triton_mm_686 0.0096 ms 80.3% 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 2025-09-07T10:01:40.8627121Z triton_mm_687 0.0097 ms 79.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:01:40.8628535Z triton_mm_691 0.0097 ms 79.2% 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 2025-09-07T10:01:40.8629953Z triton_mm_698 0.0102 ms 75.2% 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 2025-09-07T10:01:40.8631537Z triton_mm_685 0.0103 ms 74.8% 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 2025-09-07T10:01:40.8632947Z triton_mm_693 0.0108 ms 70.8% 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 2025-09-07T10:01:40.8633829Z mm 0.0111 ms 69.2% 2025-09-07T10:01:40.8634475Z SingleProcess AUTOTUNE benchmarking takes 0.2097 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:01:47.6676426Z Autotune Choices Stats: 2025-09-07T10:01:47.6677510Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_719", "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": 0.00684799998998642, "best_triton_pos": 0} 2025-09-07T10:01:47.6708289Z AUTOTUNE mm(2x128, 128x768) 2025-09-07T10:01:47.6708758Z strides: [1, 2], [768, 1] 2025-09-07T10:01:47.6709204Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:47.6710881Z triton_mm_719 0.0068 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 2025-09-07T10:01:47.6712623Z triton_mm_723 0.0069 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:01:47.6714465Z triton_mm_718 0.0069 ms 99.1% 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 2025-09-07T10:01:47.6715554Z triton_mm_730 0.0071 ms 96.4% 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 2025-09-07T10:01:47.6716549Z triton_mm_726 0.0072 ms 95.1% 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 2025-09-07T10:01:47.6717539Z triton_mm_729 0.0072 ms 95.1% 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 2025-09-07T10:01:47.6718525Z triton_mm_725 0.0072 ms 94.7% 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 2025-09-07T10:01:47.6720080Z triton_mm_732 0.0072 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:01:47.6721449Z triton_mm_727 0.0074 ms 93.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:01:47.6722448Z triton_mm_720 0.0075 ms 91.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:01:47.6723338Z SingleProcess AUTOTUNE benchmarking takes 0.1699 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:01:48.3270146Z Autotune Choices Stats: 2025-09-07T10:01:48.3271762Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_701", "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": 0.006271999794989824, "best_triton_pos": 0} 2025-09-07T10:01:48.3298350Z AUTOTUNE mm(128x2, 2x768) 2025-09-07T10:01:48.3298605Z strides: [2, 1], [768, 1] 2025-09-07T10:01:48.3298863Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:48.3299569Z triton_mm_701 0.0063 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 2025-09-07T10:01:48.3300805Z triton_mm_700 0.0063 ms 99.5% 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 2025-09-07T10:01:48.3301872Z triton_mm_702 0.0063 ms 99.5% 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 2025-09-07T10:01:48.3303015Z triton_mm_704 0.0063 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:01:48.3304100Z triton_mm_703 0.0063 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:01:48.3305025Z triton_mm_705 0.0063 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:01:48.3305893Z triton_mm_706 0.0063 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:01:48.3306759Z triton_mm_707 0.0063 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:01:48.3307634Z triton_mm_709 0.0065 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:01:48.3308519Z triton_mm_710 0.0066 ms 95.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:01:48.3309295Z SingleProcess AUTOTUNE benchmarking takes 0.1550 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:01:50.2664813Z 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 2025-09-07T10:01:50.2665867Z pred = mod(**cloned_inputs) 2025-09-07T10:01:50.2666491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 1031, in forward 2025-09-07T10:01:50.2667690Z distilbert_output = self.distilbert( 2025-09-07T10:01:50.2668576Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 723, in forward 2025-09-07T10:01:50.2669332Z embeddings = self.embeddings(input_ids, inputs_embeds) # (bs, seq_length, dim) 2025-09-07T10:01:50.2670077Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 124, in forward 2025-09-07T10:01:50.2671203Z position_embeddings = self.position_embeddings(position_ids) # (bs, max_seq_length, dim) 2025-09-07T10:01:50.2671554Z 2025-09-07T10:01:50.2671558Z 2025-09-07T10:01:50.5922037Z W0907 10:01:50.591000 33006 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:02:03.8885031Z Run failed with return code: -11 2025-09-07T10:02:03.8885439Z Output: None 2025-09-07T10:02:03.8885694Z Error: None 2025-09-07T10:02:04.9417752Z /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. 2025-09-07T10:02:04.9419147Z import pynvml # type: ignore[import] 2025-09-07T10:02:08.0196059Z /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. 2025-09-07T10:02:08.0197476Z from pkg_resources import resource_filename 2025-09-07T10:02:08.6887312Z 2025-09-07T10:02:11.4353366Z loading model: 0it [00:00, ?it/s]`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-09-07T10:02:11.4354362Z WARNING:transformers.modeling_utils:`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-09-07T10:02:11.5369015Z 2025-09-07T10:02:11.5369336Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:02:11.5369709Z cuda train DistillGPT2 2025-09-07T10:02:23.5478712Z Autotune Choices Stats: 2025-09-07T10:02:23.5480095Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.012927999719977379, "best_triton_pos": 1, "best_triton_time": 0.013632000423967838, "best_triton_kernel": "triton_mm_56", "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"} 2025-09-07T10:02:23.5508449Z AUTOTUNE addmm(512x3072, 512x768, 768x3072) 2025-09-07T10:02:23.5508778Z strides: [0, 1], [768, 1], [3072, 1] 2025-09-07T10:02:23.5509123Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:02:23.5509495Z bias_addmm 0.0129 ms 100.0% 2025-09-07T10:02:23.5510175Z triton_mm_56 0.0136 ms 94.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:02:23.5511480Z triton_mm_49 0.0138 ms 94.0% 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 2025-09-07T10:02:23.5512557Z triton_mm_45 0.0140 ms 92.4% 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 2025-09-07T10:02:23.5513601Z triton_mm_55 0.0146 ms 88.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:23.5515195Z triton_mm_48 0.0148 ms 87.3% 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 2025-09-07T10:02:23.5516396Z triton_mm_52 0.0148 ms 87.3% 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 2025-09-07T10:02:23.5517389Z triton_mm_50 0.0159 ms 81.3% 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 2025-09-07T10:02:23.5518378Z triton_mm_47 0.0165 ms 78.4% 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 2025-09-07T10:02:23.5519358Z triton_mm_51 0.0167 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=3, num_warps=4 2025-09-07T10:02:23.5520365Z SingleProcess AUTOTUNE benchmarking takes 0.2787 seconds and 1.0371 seconds precompiling for 21 choices 2025-09-07T10:02:25.1068303Z Autotune Choices Stats: 2025-09-07T10:02:25.1071104Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010847999714314938, "best_triton_pos": 1, "best_triton_time": 0.011839999817311764, "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"} 2025-09-07T10:02:25.1275819Z AUTOTUNE mm(512x768, 768x2304) 2025-09-07T10:02:25.1276092Z strides: [768, 1], [2304, 1] 2025-09-07T10:02:25.1276341Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:25.1276609Z mm 0.0108 ms 100.0% 2025-09-07T10:02:25.1277247Z triton_mm_18 0.0118 ms 91.6% 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 2025-09-07T10:02:25.1278276Z triton_mm_7 0.0128 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 2025-09-07T10:02:25.1279281Z triton_mm_11 0.0128 ms 84.5% 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 2025-09-07T10:02:25.1280398Z triton_mm_17 0.0131 ms 82.7% 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 2025-09-07T10:02:25.1281380Z triton_mm_10 0.0134 ms 80.7% 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 2025-09-07T10:02:25.1282355Z triton_mm_14 0.0138 ms 78.7% 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 2025-09-07T10:02:25.1283341Z triton_mm_12 0.0142 ms 76.4% 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 2025-09-07T10:02:25.1284325Z triton_mm_9 0.0153 ms 71.1% 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 2025-09-07T10:02:25.1285306Z triton_mm_13 0.0157 ms 69.0% 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 2025-09-07T10:02:25.1286161Z SingleProcess AUTOTUNE benchmarking takes 0.2539 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:02:25.3876384Z Autotune Choices Stats: 2025-09-07T10:02:25.3877966Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.009247999638319016, "best_triton_pos": 1, "best_triton_time": 0.009375999681651592, "best_triton_kernel": "triton_mm_27", "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"} 2025-09-07T10:02:25.4075895Z AUTOTUNE addmm(512x768, 512x768, 768x768) 2025-09-07T10:02:25.4076175Z strides: [0, 1], [768, 1], [768, 1] 2025-09-07T10:02:25.4076485Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:02:25.4076797Z bias_addmm 0.0092 ms 100.0% 2025-09-07T10:02:25.4077411Z triton_mm_27 0.0094 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 2025-09-07T10:02:25.4078430Z triton_mm_31 0.0104 ms 89.2% 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 2025-09-07T10:02:25.4079441Z triton_mm_26 0.0115 ms 80.7% 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 2025-09-07T10:02:25.4080776Z triton_mm_30 0.0117 ms 78.7% 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 2025-09-07T10:02:25.4081779Z triton_mm_37 0.0121 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 2025-09-07T10:02:25.4082768Z triton_mm_23 0.0121 ms 76.3% 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 2025-09-07T10:02:25.4083746Z triton_mm_22 0.0125 ms 73.7% 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 2025-09-07T10:02:25.4084732Z triton_mm_29 0.0126 ms 73.2% 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 2025-09-07T10:02:25.4085336Z addmm 0.0128 ms 72.1% 2025-09-07T10:02:25.4085763Z SingleProcess AUTOTUNE benchmarking takes 0.2791 seconds and 0.0003 seconds precompiling for 21 choices 2025-09-07T10:02:25.6977759Z Autotune Choices Stats: 2025-09-07T10:02:25.6980008Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.014399999752640724, "best_triton_pos": 1, "best_triton_time": 0.01462399959564209, "best_triton_kernel": "triton_mm_65", "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"} 2025-09-07T10:02:25.7224319Z AUTOTUNE addmm(512x768, 512x3072, 3072x768) 2025-09-07T10:02:25.7224815Z strides: [0, 1], [3072, 1], [768, 1] 2025-09-07T10:02:25.7225308Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:02:25.7225833Z bias_addmm 0.0144 ms 100.0% 2025-09-07T10:02:25.7226893Z triton_mm_65 0.0146 ms 98.5% 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 2025-09-07T10:02:25.7227961Z addmm 0.0168 ms 85.7% 2025-09-07T10:02:25.7228923Z triton_mm_69 0.0176 ms 81.7% 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 2025-09-07T10:02:25.7230847Z triton_mm_61 0.0213 ms 67.6% 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 2025-09-07T10:02:25.7232484Z triton_mm_75 0.0244 ms 59.0% 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 2025-09-07T10:02:25.7234436Z triton_mm_64 0.0262 ms 54.9% 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 2025-09-07T10:02:25.7236100Z triton_mm_68 0.0262 ms 54.9% 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 2025-09-07T10:02:25.7237079Z triton_mm_60 0.0290 ms 49.7% 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 2025-09-07T10:02:25.7238065Z triton_mm_74 0.0291 ms 49.5% 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 2025-09-07T10:02:25.7238931Z SingleProcess AUTOTUNE benchmarking takes 0.3139 seconds and 0.0003 seconds precompiling for 21 choices 2025-09-07T10:02:26.2718153Z Autotune Choices Stats: 2025-09-07T10:02:26.2719160Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_473", "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": 0.09356799721717834, "best_triton_pos": 0} 2025-09-07T10:02:26.2748658Z AUTOTUNE mm(512x768, 768x50257) 2025-09-07T10:02:26.2749098Z strides: [768, 1], [1, 768] 2025-09-07T10:02:26.2749526Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:26.2750952Z triton_mm_473 0.0936 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 2025-09-07T10:02:26.2752685Z triton_mm_467 0.1055 ms 88.7% 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 2025-09-07T10:02:26.2754371Z triton_mm_474 0.1115 ms 83.9% 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 2025-09-07T10:02:26.2756034Z triton_mm_472 0.1132 ms 82.7% 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 2025-09-07T10:02:26.2757048Z triton_mm_468 0.1245 ms 75.1% 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 2025-09-07T10:02:26.2758048Z triton_mm_465 0.1317 ms 71.0% 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 2025-09-07T10:02:26.2759029Z triton_mm_466 0.1366 ms 68.5% 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 2025-09-07T10:02:26.2760021Z triton_mm_470 0.1395 ms 67.1% 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 2025-09-07T10:02:26.2761151Z triton_mm_469 0.1408 ms 66.5% 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 2025-09-07T10:02:26.2762141Z triton_mm_463 0.1501 ms 62.3% 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 2025-09-07T10:02:26.2763011Z SingleProcess AUTOTUNE benchmarking takes 0.5324 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:02:35.9972497Z Autotune Choices Stats: 2025-09-07T10:02:35.9973762Z {"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_664", "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"} 2025-09-07T10:02:36.0002528Z AUTOTUNE mm(768x512, 512x2304) 2025-09-07T10:02:36.0002815Z strides: [1, 768], [2304, 1] 2025-09-07T10:02:36.0003064Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:36.0003331Z mm 0.0112 ms 100.0% 2025-09-07T10:02:36.0003942Z triton_mm_664 0.0113 ms 98.6% 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 2025-09-07T10:02:36.0004955Z triton_mm_657 0.0117 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 2025-09-07T10:02:36.0005971Z triton_mm_656 0.0119 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 2025-09-07T10:02:36.0006978Z triton_mm_663 0.0120 ms 93.1% 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 2025-09-07T10:02:36.0007987Z triton_mm_660 0.0121 ms 92.3% 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 2025-09-07T10:02:36.0008929Z triton_mm_653 0.0125 ms 89.5% 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 2025-09-07T10:02:36.0009841Z triton_mm_655 0.0131 ms 85.5% 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 2025-09-07T10:02:36.0011185Z triton_mm_659 0.0131 ms 85.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:36.0012152Z triton_mm_662 0.0133 ms 84.1% 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 2025-09-07T10:02:36.0013030Z SingleProcess AUTOTUNE benchmarking takes 0.2082 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:02:36.4564283Z Autotune Choices Stats: 2025-09-07T10:02:36.4565822Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.012191999703645706, "best_triton_pos": 1, "best_triton_time": 0.012799999676644802, "best_triton_kernel": "triton_mm_531", "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"} 2025-09-07T10:02:36.4593803Z AUTOTUNE mm(512x768, 768x3072) 2025-09-07T10:02:36.4594078Z strides: [768, 1], [1, 768] 2025-09-07T10:02:36.4594336Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:36.4594599Z mm 0.0122 ms 100.0% 2025-09-07T10:02:36.4595230Z triton_mm_531 0.0128 ms 95.3% 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 2025-09-07T10:02:36.4596283Z triton_mm_520 0.0134 ms 90.9% 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 2025-09-07T10:02:36.4597278Z triton_mm_524 0.0138 ms 88.6% 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 2025-09-07T10:02:36.4598272Z triton_mm_530 0.0139 ms 87.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:36.4599264Z triton_mm_527 0.0148 ms 82.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:02:36.4601114Z triton_mm_523 0.0150 ms 81.2% 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 2025-09-07T10:02:36.4602301Z triton_mm_525 0.0151 ms 80.5% 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 2025-09-07T10:02:36.4603225Z triton_mm_521 0.0165 ms 73.7% 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 2025-09-07T10:02:36.4604143Z triton_mm_526 0.0169 ms 72.0% 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 2025-09-07T10:02:36.4604961Z SingleProcess AUTOTUNE benchmarking takes 0.2096 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:02:38.9125432Z Autotune Choices Stats: 2025-09-07T10:02:38.9126942Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.07199999690055847, "best_triton_pos": 1, "best_triton_time": 0.0867839977145195, "best_triton_kernel": "triton_mm_492", "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"} 2025-09-07T10:02:38.9157344Z AUTOTUNE mm(50264x512, 512x768) 2025-09-07T10:02:38.9157599Z strides: [512, 1], [768, 1] 2025-09-07T10:02:38.9157843Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:38.9158103Z mm 0.0720 ms 100.0% 2025-09-07T10:02:38.9158790Z triton_mm_492 0.0868 ms 83.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:38.9160038Z triton_mm_491 0.0877 ms 82.1% 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 2025-09-07T10:02:38.9161521Z triton_mm_493 0.0988 ms 72.9% 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 2025-09-07T10:02:38.9162564Z triton_mm_486 0.1024 ms 70.3% 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 2025-09-07T10:02:38.9163625Z triton_mm_484 0.1029 ms 70.0% 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 2025-09-07T10:02:38.9164674Z triton_mm_485 0.1100 ms 65.4% 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 2025-09-07T10:02:38.9165696Z triton_mm_489 0.1164 ms 61.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:02:38.9166739Z triton_mm_488 0.1177 ms 61.2% 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 2025-09-07T10:02:38.9167773Z triton_mm_487 0.1347 ms 53.4% 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 2025-09-07T10:02:38.9168724Z SingleProcess AUTOTUNE benchmarking takes 0.4859 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:02:40.1379392Z Autotune Choices Stats: 2025-09-07T10:02:40.1381286Z {"num_choices": 24, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.08156800270080566, "best_triton_pos": 1, "best_triton_time": 0.15510399639606476, "best_triton_kernel": "triton_mm_502", "best_triton_kernel_desc": "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"} 2025-09-07T10:02:40.1566243Z AUTOTUNE mm(512x50264, 50264x768) 2025-09-07T10:02:40.1566503Z strides: [50304, 1], [768, 1] 2025-09-07T10:02:40.1566758Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:40.1567005Z mm 0.0816 ms 100.0% 2025-09-07T10:02:40.1567595Z triton_mm_502 0.1551 ms 52.6% 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 2025-09-07T10:02:40.1568546Z triton_mm_506 0.1955 ms 41.7% 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 2025-09-07T10:02:40.1569660Z triton_mm_498 0.2345 ms 34.8% 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 2025-09-07T10:02:40.1570593Z decompose_k_mm_4_split_1 0.2547 ms 32.0% k_split=4 2025-09-07T10:02:40.1571334Z triton_mm_512 0.2929 ms 27.9% 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 2025-09-07T10:02:40.1572386Z triton_mm_501 0.3023 ms 27.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:02:40.1573419Z triton_mm_505 0.3159 ms 25.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:40.1574144Z decompose_k_mm_61_split_3 0.3371 ms 24.2% k_split=61 2025-09-07T10:02:40.1574862Z triton_mm_511 0.3625 ms 22.5% 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 2025-09-07T10:02:40.1575790Z SingleProcess AUTOTUNE benchmarking takes 1.2400 seconds and 0.0002 seconds precompiling for 24 choices 2025-09-07T10:02:40.4092131Z Autotune Choices Stats: 2025-09-07T10:02:40.4093708Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.012992000207304955, "best_triton_pos": 1, "best_triton_time": 0.015296000055968761, "best_triton_kernel": "triton_mm_559", "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"} 2025-09-07T10:02:40.4301334Z AUTOTUNE mm(512x3072, 3072x768) 2025-09-07T10:02:40.4301663Z strides: [3072, 1], [1, 3072] 2025-09-07T10:02:40.4301980Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:40.4302343Z mm 0.0130 ms 100.0% 2025-09-07T10:02:40.4303187Z triton_mm_559 0.0153 ms 84.9% 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 2025-09-07T10:02:40.4304500Z triton_mm_563 0.0173 ms 75.0% 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 2025-09-07T10:02:40.4305781Z triton_mm_555 0.0208 ms 62.5% 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 2025-09-07T10:02:40.4307029Z triton_mm_569 0.0230 ms 56.4% 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 2025-09-07T10:02:40.4308267Z triton_mm_558 0.0272 ms 47.8% 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 2025-09-07T10:02:40.4309632Z triton_mm_562 0.0274 ms 47.5% 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 2025-09-07T10:02:40.4311777Z triton_mm_552 0.0283 ms 46.0% 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 2025-09-07T10:02:40.4313198Z triton_mm_554 0.0296 ms 43.9% 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 2025-09-07T10:02:40.4314419Z triton_mm_568 0.0297 ms 43.8% 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 2025-09-07T10:02:40.4315471Z SingleProcess AUTOTUNE benchmarking takes 0.2723 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:02:40.6266490Z Autotune Choices Stats: 2025-09-07T10:02:40.6267611Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_597", "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": 0.009151999838650227, "best_triton_pos": 0} 2025-09-07T10:02:40.6662070Z AUTOTUNE mm(512x768, 768x768) 2025-09-07T10:02:40.6662403Z strides: [768, 1], [1, 768] 2025-09-07T10:02:40.6662664Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:40.6663495Z triton_mm_597 0.0092 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 2025-09-07T10:02:40.6664187Z mm 0.0092 ms 99.0% 2025-09-07T10:02:40.6664799Z triton_mm_601 0.0102 ms 89.7% 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 2025-09-07T10:02:40.6665836Z triton_mm_596 0.0112 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 2025-09-07T10:02:40.6666888Z triton_mm_593 0.0113 ms 81.0% 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 2025-09-07T10:02:40.6667925Z triton_mm_600 0.0117 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 2025-09-07T10:02:40.6668989Z triton_mm_607 0.0118 ms 77.7% 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 2025-09-07T10:02:40.6670050Z triton_mm_590 0.0123 ms 74.3% 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 2025-09-07T10:02:40.6671234Z triton_mm_592 0.0124 ms 74.1% 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 2025-09-07T10:02:40.6672237Z triton_mm_606 0.0127 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=3, num_warps=4 2025-09-07T10:02:40.6673120Z SingleProcess AUTOTUNE benchmarking takes 0.2351 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:02:40.9343750Z Autotune Choices Stats: 2025-09-07T10:02:40.9345205Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011807999573647976, "best_triton_pos": 1, "best_triton_time": 0.013024000450968742, "best_triton_kernel": "triton_mm_635", "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"} 2025-09-07T10:02:40.9408341Z AUTOTUNE mm(512x2304, 2304x768) 2025-09-07T10:02:40.9408653Z strides: [2304, 1], [1, 2304] 2025-09-07T10:02:40.9408966Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:40.9409334Z mm 0.0118 ms 100.0% 2025-09-07T10:02:40.9410696Z triton_mm_635 0.0130 ms 90.7% 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 2025-09-07T10:02:40.9412044Z triton_mm_639 0.0147 ms 80.2% 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 2025-09-07T10:02:40.9413107Z triton_mm_631 0.0176 ms 67.2% 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 2025-09-07T10:02:40.9414183Z triton_mm_645 0.0195 ms 60.6% 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 2025-09-07T10:02:40.9415259Z triton_mm_634 0.0217 ms 54.3% 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 2025-09-07T10:02:40.9416314Z triton_mm_638 0.0221 ms 53.4% 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 2025-09-07T10:02:40.9417407Z triton_mm_628 0.0223 ms 53.0% 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 2025-09-07T10:02:40.9418461Z triton_mm_630 0.0235 ms 50.2% 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 2025-09-07T10:02:40.9419676Z triton_mm_644 0.0242 ms 48.9% 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 2025-09-07T10:02:40.9420769Z SingleProcess AUTOTUNE benchmarking takes 0.2739 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:02:42.8989100Z 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/gpt2/modeling_gpt2.py", line 1183, in forward 2025-09-07T10:02:42.8991101Z transformer_outputs = self.transformer( 2025-09-07T10:02:42.8991730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 860, in forward 2025-09-07T10:02:42.8992368Z position_embeds = self.wpe(position_ids) 2025-09-07T10:02:42.8992580Z 2025-09-07T10:02:42.8992584Z 2025-09-07T10:02:43.6305485Z W0907 10:02:43.629000 34192 site-packages/torch/_logging/_internal.py:1199] [10/0] Profiler function will be ignored 2025-09-07T10:02:53.3429816Z pass 2025-09-07T10:02:58.2521209Z /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. 2025-09-07T10:02:58.2522512Z import pynvml # type: ignore[import] 2025-09-07T10:03:01.4867956Z /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. 2025-09-07T10:03:01.4869461Z from pkg_resources import resource_filename 2025-09-07T10:03:02.1585477Z 2025-09-07T10:03:02.1600186Z loading model: 0it [00:00, ?it/s]If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T10:03:02.1601383Z WARNING:transformers.models.electra.modeling_electra:If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T10:03:03.1753080Z 2025-09-07T10:03:03.1753644Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:03:03.1755212Z cuda train ElectraForCausalLM 2025-09-07T10:03:25.1501826Z Autotune Choices Stats: 2025-09-07T10:03:25.1503070Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_140", "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": 0.007903999648988247, "best_triton_pos": 0} 2025-09-07T10:03:25.1536620Z AUTOTUNE addmm(512x1024, 512x256, 256x1024) 2025-09-07T10:03:25.1536890Z strides: [0, 1], [256, 1], [1, 256] 2025-09-07T10:03:25.1537169Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:03:25.1537814Z triton_mm_140 0.0079 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 2025-09-07T10:03:25.1538402Z bias_addmm 0.0082 ms 96.5% 2025-09-07T10:03:25.1538958Z triton_mm_139 0.0083 ms 95.7% 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 2025-09-07T10:03:25.1539840Z triton_mm_144 0.0085 ms 92.9% 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 2025-09-07T10:03:25.1541056Z triton_mm_143 0.0086 ms 92.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:03:25.1541934Z triton_mm_135 0.0089 ms 88.8% 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 2025-09-07T10:03:25.1542919Z triton_mm_142 0.0090 ms 88.2% 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 2025-09-07T10:03:25.1543801Z triton_mm_146 0.0091 ms 87.0% 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 2025-09-07T10:03:25.1544686Z triton_mm_133 0.0092 ms 86.4% 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 2025-09-07T10:03:25.1545553Z triton_mm_134 0.0092 ms 85.5% 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 2025-09-07T10:03:25.1546309Z SingleProcess AUTOTUNE benchmarking takes 0.2734 seconds and 0.0004 seconds precompiling for 21 choices 2025-09-07T10:03:26.3122347Z Autotune Choices Stats: 2025-09-07T10:03:26.3123612Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_3", "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": 0.0072639998979866505, "best_triton_pos": 0} 2025-09-07T10:03:26.3157380Z AUTOTUNE addmm(512x256, 512x128, 128x256) 2025-09-07T10:03:26.3157671Z strides: [0, 1], [128, 1], [1, 128] 2025-09-07T10:03:26.3157948Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:03:26.3158597Z triton_mm_3 0.0073 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 2025-09-07T10:03:26.3159525Z triton_mm_1 0.0073 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 2025-09-07T10:03:26.3160942Z triton_mm_7 0.0073 ms 99.1% 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 2025-09-07T10:03:26.3162273Z triton_mm_2 0.0074 ms 98.7% 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 2025-09-07T10:03:26.3163087Z bias_addmm 0.0077 ms 94.6% 2025-09-07T10:03:26.3163654Z triton_mm_8 0.0078 ms 92.7% 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 2025-09-07T10:03:26.3164578Z triton_mm_11 0.0079 ms 92.3% 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 2025-09-07T10:03:26.3165494Z triton_mm_14 0.0080 ms 91.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:03:26.3166431Z triton_mm_12 0.0081 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 2025-09-07T10:03:26.3167351Z triton_mm_9 0.0081 ms 89.7% 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 2025-09-07T10:03:26.3168167Z SingleProcess AUTOTUNE benchmarking takes 0.2778 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:03:26.5838580Z Autotune Choices Stats: 2025-09-07T10:03:26.5839578Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_23", "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": 0.0074880002066493034, "best_triton_pos": 0} 2025-09-07T10:03:26.5874388Z AUTOTUNE addmm(512x256, 512x256, 256x256) 2025-09-07T10:03:26.5874689Z strides: [0, 1], [256, 1], [1, 256] 2025-09-07T10:03:26.5874991Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:03:26.5875713Z triton_mm_23 0.0075 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 2025-09-07T10:03:26.5876757Z triton_mm_27 0.0076 ms 97.9% 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 2025-09-07T10:03:26.5877740Z triton_mm_20 0.0078 ms 95.9% 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 2025-09-07T10:03:26.5878718Z triton_mm_21 0.0079 ms 95.1% 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 2025-09-07T10:03:26.5879690Z triton_mm_22 0.0079 ms 95.1% 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 2025-09-07T10:03:26.5880829Z triton_mm_26 0.0079 ms 94.7% 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 2025-09-07T10:03:26.5881809Z triton_mm_30 0.0083 ms 90.7% 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 2025-09-07T10:03:26.5882803Z triton_mm_31 0.0084 ms 89.7% 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 2025-09-07T10:03:26.5883434Z bias_addmm 0.0084 ms 89.0% 2025-09-07T10:03:26.5883994Z triton_mm_33 0.0087 ms 86.0% 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 2025-09-07T10:03:26.5884798Z SingleProcess AUTOTUNE benchmarking takes 0.2712 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:03:26.8314072Z Autotune Choices Stats: 2025-09-07T10:03:26.8315595Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_83", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8", "best_time": 0.007040000054985285, "best_triton_pos": 0} 2025-09-07T10:03:26.8349064Z AUTOTUNE bmm(4x512x64, 4x64x512) 2025-09-07T10:03:26.8349363Z strides: [64, 256, 1], [64, 1, 256] 2025-09-07T10:03:26.8349647Z dtypes: torch.float16, torch.float16 2025-09-07T10:03:26.8350535Z triton_bmm_83 0.0070 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 2025-09-07T10:03:26.8351600Z triton_bmm_84 0.0071 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:03:26.8352738Z triton_bmm_87 0.0072 ms 97.8% 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 2025-09-07T10:03:26.8353738Z triton_bmm_88 0.0072 ms 97.8% 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=4, num_warps=4 2025-09-07T10:03:26.8354756Z triton_bmm_85 0.0073 ms 96.5% 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 2025-09-07T10:03:26.8355751Z triton_bmm_86 0.0073 ms 96.5% 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 2025-09-07T10:03:26.8356747Z triton_bmm_90 0.0073 ms 96.5% 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 2025-09-07T10:03:26.8357743Z triton_bmm_80 0.0074 ms 95.7% 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 2025-09-07T10:03:26.8358742Z triton_bmm_89 0.0075 ms 94.4% 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 2025-09-07T10:03:26.8359742Z triton_bmm_94 0.0076 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:03:26.8360774Z SingleProcess AUTOTUNE benchmarking takes 0.2444 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:03:27.4869665Z Autotune Choices Stats: 2025-09-07T10:03:27.4871245Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_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": 0.008352000266313553, "best_triton_pos": 0} 2025-09-07T10:03:27.4907991Z AUTOTUNE bmm(4x512x512, 4x512x64) 2025-09-07T10:03:27.4908303Z strides: [262144, 512, 1], [64, 256, 1] 2025-09-07T10:03:27.4908608Z dtypes: torch.float16, torch.float16 2025-09-07T10:03:27.4909329Z triton_bmm_99 0.0084 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 2025-09-07T10:03:27.4910010Z bmm 0.0086 ms 97.0% 2025-09-07T10:03:27.4910865Z triton_bmm_103 0.0086 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 2025-09-07T10:03:27.4911912Z triton_bmm_107 0.0086 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=4, num_warps=4 2025-09-07T10:03:27.4913477Z triton_bmm_112 0.0093 ms 90.0% 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=5, num_warps=8 2025-09-07T10:03:27.4914689Z triton_bmm_102 0.0096 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 2025-09-07T10:03:27.4915688Z triton_bmm_106 0.0096 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=4 2025-09-07T10:03:27.4916693Z triton_bmm_98 0.0096 ms 86.7% 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 2025-09-07T10:03:27.4917676Z triton_bmm_97 0.0097 ms 86.1% 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 2025-09-07T10:03:27.4918676Z triton_bmm_111 0.0101 ms 82.9% 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 2025-09-07T10:03:27.4919551Z SingleProcess AUTOTUNE benchmarking takes 0.6553 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:03:27.7662449Z Autotune Choices Stats: 2025-09-07T10:03:27.7663806Z {"num_choices": 21, "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": 0.00902399979531765, "best_triton_pos": 0} 2025-09-07T10:03:27.7699382Z AUTOTUNE addmm(512x256, 512x1024, 1024x256) 2025-09-07T10:03:27.7699770Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:03:27.7700154Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:03:27.7701181Z triton_mm_155 0.0090 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 2025-09-07T10:03:27.7702435Z triton_mm_159 0.0095 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 2025-09-07T10:03:27.7703312Z bias_addmm 0.0097 ms 92.8% 2025-09-07T10:03:27.7704060Z triton_mm_163 0.0108 ms 83.2% 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 2025-09-07T10:03:27.7705279Z triton_mm_154 0.0118 ms 76.2% 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 2025-09-07T10:03:27.7706472Z triton_mm_153 0.0121 ms 74.8% 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 2025-09-07T10:03:27.7707693Z triton_mm_158 0.0121 ms 74.8% 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 2025-09-07T10:03:27.7708925Z triton_mm_162 0.0127 ms 71.2% 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 2025-09-07T10:03:27.7719587Z triton_mm_152 0.0131 ms 69.1% 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 2025-09-07T10:03:27.7721077Z triton_mm_169 0.0131 ms 69.1% 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 2025-09-07T10:03:27.7722171Z SingleProcess AUTOTUNE benchmarking takes 0.2771 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:03:28.1379311Z Autotune Choices Stats: 2025-09-07T10:03:28.1381745Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_1835", "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": 0.007071999832987785, "best_triton_pos": 0} 2025-09-07T10:03:28.1417616Z AUTOTUNE addmm(512x128, 512x256, 256x128) 2025-09-07T10:03:28.1417932Z strides: [0, 1], [256, 1], [1, 256] 2025-09-07T10:03:28.1418260Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:03:28.1419025Z triton_mm_1835 0.0071 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 2025-09-07T10:03:28.1419730Z bias_addmm 0.0076 ms 92.9% 2025-09-07T10:03:28.1420561Z triton_mm_1839 0.0076 ms 92.9% 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 2025-09-07T10:03:28.1421664Z triton_mm_1834 0.0076 ms 92.5% 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 2025-09-07T10:03:28.1422831Z triton_mm_1832 0.0078 ms 90.2% 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 2025-09-07T10:03:28.1423791Z triton_mm_1838 0.0079 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 2025-09-07T10:03:28.1424715Z triton_mm_1833 0.0079 ms 89.1% 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 2025-09-07T10:03:28.1425643Z triton_mm_1842 0.0082 ms 86.0% 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 2025-09-07T10:03:28.1426590Z triton_mm_1843 0.0084 ms 84.7% 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 2025-09-07T10:03:28.1427532Z triton_mm_1845 0.0087 ms 81.2% 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 2025-09-07T10:03:28.1428373Z SingleProcess AUTOTUNE benchmarking takes 0.2790 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:03:28.4346517Z Autotune Choices Stats: 2025-09-07T10:03:28.4347927Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_1860", "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=4, num_warps=8", "best_time": 0.03420799970626831, "best_triton_pos": 0} 2025-09-07T10:03:28.4382728Z AUTOTUNE addmm(512x30522, 512x128, 128x30522) 2025-09-07T10:03:28.4383208Z strides: [0, 1], [128, 1], [1, 128] 2025-09-07T10:03:28.4383632Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:03:28.4384604Z triton_mm_1860 0.0342 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=4, num_warps=8 2025-09-07T10:03:28.4386031Z triton_mm_1859 0.0348 ms 98.4% 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 2025-09-07T10:03:28.4387447Z triton_mm_1864 0.0349 ms 98.0% 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 2025-09-07T10:03:28.4388865Z triton_mm_1867 0.0351 ms 97.5% 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 2025-09-07T10:03:28.4391252Z triton_mm_1861 0.0351 ms 97.4% 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 2025-09-07T10:03:28.4392689Z triton_mm_1863 0.0355 ms 96.3% 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 2025-09-07T10:03:28.4394112Z triton_mm_1858 0.0358 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 2025-09-07T10:03:28.4395534Z triton_mm_1866 0.0359 ms 95.2% 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 2025-09-07T10:03:28.4396963Z triton_mm_1862 0.0364 ms 93.9% 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 2025-09-07T10:03:28.4398379Z triton_mm_1856 0.0379 ms 90.2% 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 2025-09-07T10:03:28.4399614Z SingleProcess AUTOTUNE benchmarking takes 0.2959 seconds and 0.0003 seconds precompiling for 21 choices 2025-09-07T10:03:44.8151888Z Autotune Choices Stats: 2025-09-07T10:03:44.8153254Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.024000000208616257, "best_triton_pos": 1, "best_triton_time": 0.024320000782608986, "best_triton_kernel": "triton_mm_1904", "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"} 2025-09-07T10:03:44.8879134Z AUTOTUNE mm(30522x512, 512x128) 2025-09-07T10:03:44.8879400Z strides: [1, 30528], [128, 1] 2025-09-07T10:03:44.8879673Z dtypes: torch.float16, torch.float16 2025-09-07T10:03:44.8879939Z mm 0.0240 ms 100.0% 2025-09-07T10:03:44.8881071Z triton_mm_1904 0.0243 ms 98.7% 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 2025-09-07T10:03:44.8882556Z triton_mm_1905 0.0244 ms 98.2% 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 2025-09-07T10:03:44.8883944Z triton_mm_1897 0.0255 ms 94.1% 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 2025-09-07T10:03:44.8885270Z triton_mm_1898 0.0262 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 2025-09-07T10:03:44.8886421Z triton_mm_1899 0.0275 ms 87.2% 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 2025-09-07T10:03:44.8887366Z triton_mm_1906 0.0275 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 2025-09-07T10:03:44.8888303Z triton_mm_1894 0.0302 ms 79.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:03:44.8889225Z triton_mm_1901 0.0304 ms 78.9% 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 2025-09-07T10:03:44.8890156Z triton_mm_1903 0.0305 ms 78.6% 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=2, num_warps=8 2025-09-07T10:03:44.8891585Z SingleProcess AUTOTUNE benchmarking takes 0.3156 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:03:45.3019855Z Autotune Choices Stats: 2025-09-07T10:03:45.3021469Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_1953", "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": 0.007424000184983015, "best_triton_pos": 0} 2025-09-07T10:03:45.3077353Z AUTOTUNE mm(512x256, 256x1024) 2025-09-07T10:03:45.3077707Z strides: [256, 1], [1024, 1] 2025-09-07T10:03:45.3078055Z dtypes: torch.float16, torch.float16 2025-09-07T10:03:45.3079011Z triton_mm_1953 0.0074 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 2025-09-07T10:03:45.3080617Z triton_mm_1952 0.0077 ms 96.3% 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 2025-09-07T10:03:45.3081527Z mm 0.0079 ms 94.3% 2025-09-07T10:03:45.3082361Z triton_mm_1956 0.0080 ms 93.2% 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 2025-09-07T10:03:45.3083783Z triton_mm_1957 0.0081 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 2025-09-07T10:03:45.3085204Z triton_mm_1955 0.0084 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 2025-09-07T10:03:45.3086618Z triton_mm_1959 0.0085 ms 87.5% 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 2025-09-07T10:03:45.3088039Z triton_mm_1948 0.0086 ms 85.9% 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 2025-09-07T10:03:45.3089442Z triton_mm_1947 0.0088 ms 84.4% 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 2025-09-07T10:03:45.3090994Z triton_mm_1962 0.0089 ms 83.5% 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 2025-09-07T10:03:45.3092242Z SingleProcess AUTOTUNE benchmarking takes 0.2056 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:03:46.0022458Z Autotune Choices Stats: 2025-09-07T10:03:46.0023556Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_1968", "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": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:03:46.0061884Z AUTOTUNE mm(256x512, 512x1024) 2025-09-07T10:03:46.0062183Z strides: [1, 256], [1024, 1] 2025-09-07T10:03:46.0062451Z dtypes: torch.float16, torch.float16 2025-09-07T10:03:46.0063261Z triton_mm_1968 0.0082 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 2025-09-07T10:03:46.0064340Z triton_mm_1972 0.0083 ms 98.8% 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 2025-09-07T10:03:46.0065011Z mm 0.0084 ms 97.3% 2025-09-07T10:03:46.0065640Z triton_mm_1976 0.0090 ms 91.1% 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 2025-09-07T10:03:46.0067119Z triton_mm_1967 0.0092 ms 88.9% 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 2025-09-07T10:03:46.0068519Z triton_mm_1971 0.0094 ms 86.8% 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 2025-09-07T10:03:46.0069510Z triton_mm_1966 0.0097 ms 84.8% 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 2025-09-07T10:03:46.0071043Z triton_mm_1975 0.0099 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 2025-09-07T10:03:46.0072072Z triton_mm_1974 0.0102 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 2025-09-07T10:03:46.0073088Z triton_mm_1978 0.0103 ms 79.5% 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 2025-09-07T10:03:46.0073975Z SingleProcess AUTOTUNE benchmarking takes 0.1951 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:03:46.2433578Z Autotune Choices Stats: 2025-09-07T10:03:46.2434866Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.00825599953532219, "best_triton_pos": 1, "best_triton_time": 0.008287999778985977, "best_triton_kernel": "triton_mm_2010", "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"} 2025-09-07T10:03:46.2473032Z AUTOTUNE mm(1024x512, 512x256) 2025-09-07T10:03:46.2473336Z strides: [1, 1024], [256, 1] 2025-09-07T10:03:46.2473602Z dtypes: torch.float16, torch.float16 2025-09-07T10:03:46.2473872Z mm 0.0083 ms 100.0% 2025-09-07T10:03:46.2474500Z triton_mm_2010 0.0083 ms 99.6% 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 2025-09-07T10:03:46.2475549Z triton_mm_2006 0.0083 ms 99.2% 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 2025-09-07T10:03:46.2476563Z triton_mm_2014 0.0089 ms 92.5% 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 2025-09-07T10:03:46.2477581Z triton_mm_2005 0.0092 ms 89.6% 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 2025-09-07T10:03:46.2478583Z triton_mm_2009 0.0094 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 2025-09-07T10:03:46.2479585Z triton_mm_2004 0.0094 ms 87.5% 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 2025-09-07T10:03:46.2480934Z triton_mm_2013 0.0099 ms 83.8% 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 2025-09-07T10:03:46.2481946Z triton_mm_2016 0.0101 ms 81.6% 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 2025-09-07T10:03:46.2482950Z triton_mm_2012 0.0101 ms 81.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:03:46.2483829Z SingleProcess AUTOTUNE benchmarking takes 0.1946 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:03:46.6931835Z Autotune Choices Stats: 2025-09-07T10:03:46.6933589Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_5511", "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": 0.007360000163316727, "best_triton_pos": 0} 2025-09-07T10:03:46.6971708Z AUTOTUNE mm(512x256, 256x256) 2025-09-07T10:03:46.6971983Z strides: [256, 1], [256, 1] 2025-09-07T10:03:46.6972279Z dtypes: torch.float16, torch.float16 2025-09-07T10:03:46.6972995Z triton_mm_5511 0.0074 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 2025-09-07T10:03:46.6974100Z triton_mm_5515 0.0075 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 2025-09-07T10:03:46.6974764Z mm 0.0077 ms 95.0% 2025-09-07T10:03:46.6975370Z triton_mm_5514 0.0077 ms 95.0% 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 2025-09-07T10:03:46.6976421Z triton_mm_5510 0.0078 ms 93.9% 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 2025-09-07T10:03:46.6977450Z triton_mm_5518 0.0079 ms 92.7% 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 2025-09-07T10:03:46.6978487Z triton_mm_5509 0.0080 ms 91.6% 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 2025-09-07T10:03:46.6979418Z triton_mm_5519 0.0081 ms 90.6% 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 2025-09-07T10:03:46.6980521Z triton_mm_5508 0.0083 ms 88.5% 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 2025-09-07T10:03:46.6981448Z triton_mm_5517 0.0084 ms 88.1% 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 2025-09-07T10:03:46.6982265Z SingleProcess AUTOTUNE benchmarking takes 0.1899 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:03:47.4934091Z Autotune Choices Stats: 2025-09-07T10:03:47.4936406Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.007679999805986881, "best_triton_pos": 1, "best_triton_time": 0.007679999805986881, "best_triton_kernel": "triton_mm_2192", "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"} 2025-09-07T10:03:47.4971881Z AUTOTUNE mm(256x512, 512x256) 2025-09-07T10:03:47.4972327Z strides: [512, 1], [256, 1] 2025-09-07T10:03:47.4972740Z dtypes: torch.float16, torch.float16 2025-09-07T10:03:47.4973178Z mm 0.0077 ms 100.0% 2025-09-07T10:03:47.4974207Z triton_mm_2192 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 2025-09-07T10:03:47.4975948Z triton_mm_2196 0.0079 ms 97.6% 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 2025-09-07T10:03:47.4977629Z triton_mm_2200 0.0087 ms 87.9% 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 2025-09-07T10:03:47.4979535Z triton_mm_2191 0.0088 ms 87.3% 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 2025-09-07T10:03:47.4980925Z triton_mm_2190 0.0088 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 2025-09-07T10:03:47.4981803Z triton_mm_2195 0.0088 ms 87.0% 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 2025-09-07T10:03:47.4982686Z triton_mm_2199 0.0092 ms 83.3% 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 2025-09-07T10:03:47.4983639Z triton_mm_2189 0.0094 ms 81.4% 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 2025-09-07T10:03:47.4984523Z triton_mm_2198 0.0099 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 2025-09-07T10:03:47.4985290Z SingleProcess AUTOTUNE benchmarking takes 0.1952 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:03:47.8360515Z Autotune Choices Stats: 2025-09-07T10:03:47.8361667Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_2044", "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": 0.007712000049650669, "best_triton_pos": 0} 2025-09-07T10:03:47.8398985Z AUTOTUNE mm(256x512, 512x256) 2025-09-07T10:03:47.8399244Z strides: [1, 256], [256, 1] 2025-09-07T10:03:47.8399486Z dtypes: torch.float16, torch.float16 2025-09-07T10:03:47.8400113Z triton_mm_2044 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 2025-09-07T10:03:47.8401239Z triton_mm_2048 0.0077 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 2025-09-07T10:03:47.8401834Z mm 0.0078 ms 98.4% 2025-09-07T10:03:47.8402382Z triton_mm_2052 0.0085 ms 90.6% 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 2025-09-07T10:03:47.8403317Z triton_mm_2043 0.0087 ms 88.6% 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 2025-09-07T10:03:47.8404232Z triton_mm_2047 0.0088 ms 87.6% 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 2025-09-07T10:03:47.8405151Z triton_mm_2042 0.0092 ms 84.0% 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 2025-09-07T10:03:47.8406074Z triton_mm_2051 0.0094 ms 82.3% 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 2025-09-07T10:03:47.8406998Z triton_mm_2041 0.0097 ms 79.5% 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 2025-09-07T10:03:47.8407926Z triton_mm_2054 0.0098 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 2025-09-07T10:03:47.8408756Z SingleProcess AUTOTUNE benchmarking takes 0.1937 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:03:48.3901198Z Autotune Choices Stats: 2025-09-07T10:03:48.3903123Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_1930", "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} 2025-09-07T10:03:48.3939535Z AUTOTUNE mm(128x512, 512x256) 2025-09-07T10:03:48.3939842Z strides: [1, 128], [256, 1] 2025-09-07T10:03:48.3940120Z dtypes: torch.float16, torch.float16 2025-09-07T10:03:48.3941016Z triton_mm_1930 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 2025-09-07T10:03:48.3942105Z triton_mm_1934 0.0077 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 2025-09-07T10:03:48.3942837Z mm 0.0078 ms 98.4% 2025-09-07T10:03:48.3943458Z triton_mm_1938 0.0085 ms 90.6% 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 2025-09-07T10:03:48.3944506Z triton_mm_1929 0.0087 ms 88.2% 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 2025-09-07T10:03:48.3945558Z triton_mm_1933 0.0088 ms 87.6% 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 2025-09-07T10:03:48.3946579Z triton_mm_1928 0.0090 ms 85.4% 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 2025-09-07T10:03:48.3947613Z triton_mm_1937 0.0094 ms 81.9% 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 2025-09-07T10:03:48.3948776Z triton_mm_1927 0.0096 ms 80.0% 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 2025-09-07T10:03:48.3949822Z triton_mm_1940 0.0097 ms 78.9% 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 2025-09-07T10:03:48.3950827Z SingleProcess AUTOTUNE benchmarking takes 0.1953 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:03:48.7732680Z Autotune Choices Stats: 2025-09-07T10:03:48.7733810Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_5572", "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": 0.007648000027984381, "best_triton_pos": 0} 2025-09-07T10:03:48.7772170Z AUTOTUNE mm(256x512, 512x128) 2025-09-07T10:03:48.7772443Z strides: [1, 256], [128, 1] 2025-09-07T10:03:48.7772698Z dtypes: torch.float16, torch.float16 2025-09-07T10:03:48.7773436Z triton_mm_5572 0.0076 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 2025-09-07T10:03:48.7774528Z triton_mm_5568 0.0077 ms 99.6% 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 2025-09-07T10:03:48.7775220Z mm 0.0078 ms 98.0% 2025-09-07T10:03:48.7775878Z triton_mm_5576 0.0084 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 2025-09-07T10:03:48.7776937Z triton_mm_5567 0.0085 ms 89.5% 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 2025-09-07T10:03:48.7778358Z triton_mm_5571 0.0089 ms 86.0% 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 2025-09-07T10:03:48.7779557Z triton_mm_5566 0.0090 ms 85.1% 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 2025-09-07T10:03:48.7780865Z triton_mm_5575 0.0092 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 2025-09-07T10:03:48.7781822Z triton_mm_5565 0.0096 ms 79.9% 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 2025-09-07T10:03:48.7782819Z triton_mm_5574 0.0098 ms 78.1% 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 2025-09-07T10:03:48.7783661Z SingleProcess AUTOTUNE benchmarking takes 0.1949 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:03:51.0255849Z Autotune Choices Stats: 2025-09-07T10:03:51.0257513Z {"num_choices": 30, "num_triton_choices": 19, "best_kernel": "decompose_k_mm_6_split_2", "best_kernel_desc": "k_split=6", "best_time": 0.029600000008940697, "best_triton_pos": 8, "best_triton_time": 0.07004799693822861, "best_triton_kernel": "triton_mm_1873", "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"} 2025-09-07T10:03:51.0311182Z AUTOTUNE mm(512x30528, 30528x128) 2025-09-07T10:03:51.0311441Z strides: [30528, 1], [128, 1] 2025-09-07T10:03:51.0311695Z dtypes: torch.float16, torch.float16 2025-09-07T10:03:51.0312006Z decompose_k_mm_6_split_2 0.0296 ms 100.0% k_split=6 2025-09-07T10:03:51.0312297Z mm 0.0305 ms 97.1% 2025-09-07T10:03:51.0312540Z decompose_k_mm_4_split_6 0.0314 ms 94.4% k_split=4 2025-09-07T10:03:51.0312906Z decompose_k_mm_3_split_1 0.0330 ms 89.8% k_split=3 2025-09-07T10:03:51.0313259Z decompose_k_mm_2_split_0 0.0376 ms 78.7% k_split=2 2025-09-07T10:03:51.0313579Z decompose_k_mm_9_split_3 0.0683 ms 43.4% k_split=9 2025-09-07T10:03:51.0313909Z decompose_k_mm_12_split_8 0.0690 ms 42.9% k_split=12 2025-09-07T10:03:51.0314251Z decompose_k_mm_18_split_4 0.0699 ms 42.4% k_split=18 2025-09-07T10:03:51.0314945Z triton_mm_1873 0.0700 ms 42.3% 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 2025-09-07T10:03:51.0315627Z decompose_k_mm_8_split_7 0.0701 ms 42.2% k_split=8 2025-09-07T10:03:51.0316158Z SingleProcess AUTOTUNE benchmarking takes 1.6410 seconds and 0.0002 seconds precompiling for 30 choices 2025-09-07T10:03:51.2394664Z Autotune Choices Stats: 2025-09-07T10:03:51.2395794Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_1909", "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": 0.007071999832987785, "best_triton_pos": 0} 2025-09-07T10:03:51.2434361Z AUTOTUNE mm(512x128, 128x256) 2025-09-07T10:03:51.2434614Z strides: [128, 1], [256, 1] 2025-09-07T10:03:51.2434881Z dtypes: torch.float16, torch.float16 2025-09-07T10:03:51.2435530Z triton_mm_1909 0.0071 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 2025-09-07T10:03:51.2436541Z triton_mm_1910 0.0071 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 2025-09-07T10:03:51.2437572Z triton_mm_1914 0.0071 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 2025-09-07T10:03:51.2438943Z triton_mm_1915 0.0072 ms 98.2% 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 2025-09-07T10:03:51.2440186Z triton_mm_1917 0.0072 ms 97.8% 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 2025-09-07T10:03:51.2441502Z triton_mm_1908 0.0073 ms 97.4% 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 2025-09-07T10:03:51.2442122Z mm 0.0073 ms 96.5% 2025-09-07T10:03:51.2442711Z triton_mm_1918 0.0073 ms 96.5% 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 2025-09-07T10:03:51.2443713Z triton_mm_1921 0.0075 ms 94.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:03:51.2444715Z triton_mm_1919 0.0076 ms 93.6% 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 2025-09-07T10:03:51.2445598Z SingleProcess AUTOTUNE benchmarking takes 0.2049 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:03:51.4432823Z Autotune Choices Stats: 2025-09-07T10:03:51.4433800Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_1987", "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": 0.009119999594986439, "best_triton_pos": 0} 2025-09-07T10:03:51.4505027Z AUTOTUNE mm(512x1024, 1024x256) 2025-09-07T10:03:51.4505294Z strides: [1024, 1], [256, 1] 2025-09-07T10:03:51.4505564Z dtypes: torch.float16, torch.float16 2025-09-07T10:03:51.4506284Z triton_mm_1987 0.0091 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 2025-09-07T10:03:51.4506994Z mm 0.0093 ms 97.9% 2025-09-07T10:03:51.4507613Z triton_mm_1991 0.0095 ms 96.3% 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 2025-09-07T10:03:51.4508689Z triton_mm_1995 0.0107 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 2025-09-07T10:03:51.4509865Z triton_mm_1986 0.0118 ms 77.4% 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 2025-09-07T10:03:51.4511191Z triton_mm_1990 0.0119 ms 76.4% 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 2025-09-07T10:03:51.4512200Z triton_mm_1985 0.0120 ms 75.8% 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 2025-09-07T10:03:51.4513202Z triton_mm_1994 0.0124 ms 73.6% 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 2025-09-07T10:03:51.4514208Z triton_mm_2001 0.0126 ms 72.3% 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 2025-09-07T10:03:51.4515218Z triton_mm_1993 0.0135 ms 67.5% 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 2025-09-07T10:03:51.4516112Z SingleProcess AUTOTUNE benchmarking takes 0.2066 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:03:51.6337507Z Autotune Choices Stats: 2025-09-07T10:03:51.6338760Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_2063", "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": 0.008704000152647495, "best_triton_pos": 0} 2025-09-07T10:03:51.6379214Z AUTOTUNE bmm(4x512x512, 4x512x64) 2025-09-07T10:03:51.6379506Z strides: [262144, 1, 512], [64, 256, 1] 2025-09-07T10:03:51.6379804Z dtypes: torch.float16, torch.float16 2025-09-07T10:03:51.6380665Z triton_bmm_2063 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 2025-09-07T10:03:51.6381760Z triton_bmm_2071 0.0088 ms 99.3% 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=4, num_warps=4 2025-09-07T10:03:51.6382444Z bmm 0.0089 ms 98.2% 2025-09-07T10:03:51.6383134Z triton_bmm_2067 0.0089 ms 98.2% 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 2025-09-07T10:03:51.6384180Z triton_bmm_2076 0.0094 ms 92.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:03:51.6385227Z triton_bmm_2062 0.0096 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=5, num_warps=8 2025-09-07T10:03:51.6386264Z triton_bmm_2070 0.0097 ms 90.1% 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=4 2025-09-07T10:03:51.6387311Z triton_bmm_2061 0.0097 ms 89.5% 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 2025-09-07T10:03:51.6388351Z triton_bmm_2066 0.0097 ms 89.5% 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 2025-09-07T10:03:51.6389451Z triton_bmm_2075 0.0101 ms 86.1% 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 2025-09-07T10:03:51.6390526Z SingleProcess AUTOTUNE benchmarking takes 0.1856 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:03:51.8114430Z Autotune Choices Stats: 2025-09-07T10:03:51.8115444Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_2100", "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": 0.00854399986565113, "best_triton_pos": 0} 2025-09-07T10:03:51.8155489Z AUTOTUNE bmm(4x64x512, 4x512x512) 2025-09-07T10:03:51.8155749Z strides: [64, 1, 256], [262144, 512, 1] 2025-09-07T10:03:51.8156037Z dtypes: torch.float16, torch.float16 2025-09-07T10:03:51.8156689Z triton_bmm_2100 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 2025-09-07T10:03:51.8157332Z bmm 0.0088 ms 96.7% 2025-09-07T10:03:51.8157917Z triton_bmm_2104 0.0088 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 2025-09-07T10:03:51.8158931Z triton_bmm_2108 0.0094 ms 90.8% 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 2025-09-07T10:03:51.8160548Z triton_bmm_2112 0.0095 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=5, num_warps=8 2025-09-07T10:03:51.8161708Z triton_bmm_2099 0.0097 ms 88.4% 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 2025-09-07T10:03:51.8162647Z triton_bmm_2103 0.0098 ms 87.0% 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 2025-09-07T10:03:51.8163577Z triton_bmm_2098 0.0099 ms 86.7% 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 2025-09-07T10:03:51.8164508Z triton_bmm_2107 0.0100 ms 85.0% 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 2025-09-07T10:03:51.8165438Z triton_bmm_2110 0.0102 ms 83.4% 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 2025-09-07T10:03:51.8166253Z SingleProcess AUTOTUNE benchmarking takes 0.1757 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:03:52.0032685Z Autotune Choices Stats: 2025-09-07T10:03:52.0033720Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_2173", "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} 2025-09-07T10:03:52.0075459Z AUTOTUNE mm(512x256, 256x256) 2025-09-07T10:03:52.0075732Z strides: [1, 512], [256, 1] 2025-09-07T10:03:52.0075980Z dtypes: torch.float16, torch.float16 2025-09-07T10:03:52.0076679Z triton_mm_2173 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 2025-09-07T10:03:52.0077764Z triton_mm_2177 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 2025-09-07T10:03:52.0078396Z mm 0.0076 ms 95.4% 2025-09-07T10:03:52.0078994Z triton_mm_2172 0.0076 ms 94.6% 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 2025-09-07T10:03:52.0080000Z triton_mm_2171 0.0077 ms 93.8% 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 2025-09-07T10:03:52.0081327Z triton_mm_2176 0.0078 ms 93.0% 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 2025-09-07T10:03:52.0082276Z triton_mm_2181 0.0080 ms 90.8% 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 2025-09-07T10:03:52.0083224Z triton_mm_2170 0.0080 ms 90.4% 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 2025-09-07T10:03:52.0084154Z triton_mm_2180 0.0081 ms 89.7% 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 2025-09-07T10:03:52.0085087Z triton_mm_2183 0.0083 ms 86.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:03:52.0085908Z SingleProcess AUTOTUNE benchmarking takes 0.1888 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:03:52.3265378Z Autotune Choices Stats: 2025-09-07T10:03:52.3266895Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_5549", "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} 2025-09-07T10:03:52.3305371Z AUTOTUNE mm(512x256, 256x128) 2025-09-07T10:03:52.3305640Z strides: [256, 1], [128, 1] 2025-09-07T10:03:52.3305901Z dtypes: torch.float16, torch.float16 2025-09-07T10:03:52.3306615Z triton_mm_5549 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 2025-09-07T10:03:52.3307704Z triton_mm_5553 0.0075 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 2025-09-07T10:03:52.3308364Z mm 0.0076 ms 95.8% 2025-09-07T10:03:52.3309008Z triton_mm_5552 0.0077 ms 93.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:03:52.3310522Z triton_mm_5548 0.0078 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 2025-09-07T10:03:52.3311543Z triton_mm_5556 0.0079 ms 91.5% 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 2025-09-07T10:03:52.3312547Z triton_mm_5547 0.0080 ms 90.0% 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 2025-09-07T10:03:52.3313555Z triton_mm_5557 0.0081 ms 89.3% 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 2025-09-07T10:03:52.3314570Z triton_mm_5546 0.0082 ms 88.6% 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 2025-09-07T10:03:52.3315578Z triton_mm_5555 0.0083 ms 86.9% 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 2025-09-07T10:03:52.3316455Z SingleProcess AUTOTUNE benchmarking takes 0.1883 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:03:56.2556538Z 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 2025-09-07T10:03:56.2557665Z pred = mod(**cloned_inputs) 2025-09-07T10:03:56.2558294Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 1543, in forward 2025-09-07T10:03:56.2558931Z outputs = self.electra( 2025-09-07T10:03:56.2559564Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 788, in forward 2025-09-07T10:03:56.2560372Z hidden_states = self.embeddings( 2025-09-07T10:03:56.2561012Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 192, in forward 2025-09-07T10:03:56.2561741Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T10:03:56.2562008Z 2025-09-07T10:03:56.2562018Z 2025-09-07T10:03:57.2719399Z pass 2025-09-07T10:04:01.4790861Z accuracy pass_rate=83.33% 2025-09-07T10:04:01.4796105Z calls_captured gmean=0.00x mean=387.500x 2025-09-07T10:04:01.4800462Z unique_graphs gmean=0.00x mean=3.500x 2025-09-07T10:04:01.4804549Z graph_breaks gmean=0.00x mean=4.833x 2025-09-07T10:04:01.4808298Z unique_graph_breaks gmean=0.00x mean=3.833x 2025-09-07T10:04:01.4812591Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:04:01.4816569Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:04:01.4819608Z cudagraph_skips gmean=0.00x mean=1.000x 2025-09-07T10:04:01.4821234Z compilation_latency mean=36.584 seconds 2025-09-07T10:04:02.6022109Z + [[ 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* ]] 2025-09-07T10:04:02.6023659Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:04:02.6023945Z + for target in "${targets[@]}" 2025-09-07T10:04:02.6024221Z + target_flag=('--performance') 2025-09-07T10:04:02.6024471Z + local target_flag 2025-09-07T10:04:02.6024732Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T10:04:02.6025044Z + target_flag+=(--cold-start-latency) 2025-09-07T10:04:02.6026342Z + [[ 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* ]] 2025-09-07T10:04:02.6028618Z + [[ 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* ]] 2025-09-07T10:04:02.6031225Z + python benchmarks/dynamo/huggingface.py --performance --cold-start-latency --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance.csv 2025-09-07T10:04:03.6343356Z /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. 2025-09-07T10:04:03.6344496Z import pynvml # type: ignore[import] 2025-09-07T10:04:06.8561854Z /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. 2025-09-07T10:04:06.8563284Z from pkg_resources import resource_filename 2025-09-07T10:04:09.4205802Z /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. 2025-09-07T10:04:09.4207193Z import pynvml # type: ignore[import] 2025-09-07T10:04:12.5491290Z /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. 2025-09-07T10:04:12.5492843Z from pkg_resources import resource_filename 2025-09-07T10:04:13.3430678Z 2025-09-07T10:04:14.7762430Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:04:14.7762770Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:04:14.7763057Z cuda train BlenderbotSmallForCausalLM 2025-09-07T10:04:25.5968726Z 2025-09-07T10:04:25.7446607Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:05:58.2815914Z 2025-09-07T10:05:58.4002574Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:08:22.8154539Z 2025-09-07T10:08:23.0289865Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:10:39.8676579Z 2025-09-07T10:10:39.9917221Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:11:21.6913055Z 2025-09-07T10:11:21.8329415Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:12:03.2748143Z 2025-09-07T10:12:03.3974092Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:14:50.8050345Z 2025-09-07T10:14:51.0053286Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:17:16.6523656Z 2025-09-07T10:17:17.0684519Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:19:28.7952976Z 2025-09-07T10:19:28.9661897Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:20:09.9511208Z 2025-09-07T10:20:10.1266606Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:20:51.9542826Z 2025-09-07T10:20:52.1098892Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:23:47.5102375Z 2025-09-07T10:23:47.7132728Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:26:14.6366760Z 2025-09-07T10:26:14.9222219Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:28:28.6486170Z 2025-09-07T10:28:28.8274927Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:29:12.8162194Z 2025-09-07T10:29:13.0031924Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:29:57.0304672Z 2025-09-07T10:29:57.1832263Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:33:47.1278686Z 2025-09-07T10:33:47.2697735Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:38:01.3910859Z 2025-09-07T10:38:01.5798343Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:41:39.1677355Z 2025-09-07T10:41:39.3033580Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:42:38.1076351Z 2025-09-07T10:42:38.2496438Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:43:35.6386964Z 2025-09-07T10:43:35.7791889Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:47:48.6572008Z 2025-09-07T10:47:48.8562082Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:50:58.9412791Z 2025-09-07T10:50:59.2327661Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:54:11.2858470Z 2025-09-07T10:54:11.4406679Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:55:20.1582193Z 2025-09-07T10:55:20.3295633Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:56:26.8864567Z 2025-09-07T10:56:27.0292142Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T12:06:53.0732998Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T12:06:53.0747252Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:06:53.0747555Z env: 2025-09-07T12:06:53.0747717Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:06:53.0747975Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:06:53.0748324Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:06:53.0748802Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:06:53.0749204Z ##[endgroup] 2025-09-07T12:06:53.1161020Z + [[ -n '' ]] 2025-09-07T12:06:53.1161317Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T12:06:53.3822673Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T12:06:54.2618652Z Collecting boto3==1.35.33 2025-09-07T12:06:54.3196993Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T12:06:54.5214108Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.1/139.1 KB 647.2 kB/s eta 0:00:00 2025-09-07T12:06:54.7814243Z Collecting psutil==7.0.0 2025-09-07T12:06:54.7918147Z 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) 2025-09-07T12:06:55.0242756Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 278.0/278.0 KB 1.2 MB/s eta 0:00:00 2025-09-07T12:06:55.5086103Z Collecting pynvml==12.0.0 2025-09-07T12:06:55.5201267Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T12:06:56.2570685Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T12:06:56.2677442Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T12:06:57.5918097Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.3/13.3 MB 9.0 MB/s eta 0:00:00 2025-09-07T12:06:57.7299695Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T12:06:57.7404602Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T12:06:57.7867956Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.2/83.2 KB 1.6 MB/s eta 0:00:00 2025-09-07T12:06:57.8213338Z Collecting jmespath<2.0.0,>=0.7.1 2025-09-07T12:06:57.8316187Z Downloading jmespath-1.0.1-py3-none-any.whl (20 kB) 2025-09-07T12:06:57.8784691Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T12:06:57.8899747Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T12:06:57.8977418Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.5/47.5 KB 6.1 MB/s eta 0:00:00 2025-09-07T12:06:57.9039934Z 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) 2025-09-07T12:06:57.9047184Z 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) 2025-09-07T12:06:58.1506269Z Installing collected packages: nvidia-ml-py, pynvml, psutil, jmespath, botocore, s3transfer, boto3 2025-09-07T12:06:58.1506913Z Attempting uninstall: nvidia-ml-py 2025-09-07T12:06:58.1511948Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T12:06:58.1548282Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T12:06:58.1574899Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T12:06:58.2316141Z Attempting uninstall: psutil 2025-09-07T12:06:58.2322484Z Found existing installation: psutil 5.9.8 2025-09-07T12:06:58.2485243Z Uninstalling psutil-5.9.8: 2025-09-07T12:06:58.2495069Z Successfully uninstalled psutil-5.9.8 2025-09-07T12:06:59.0116866Z 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 2025-09-07T12:06:59.1061299Z + DEVICE_NAME= 2025-09-07T12:06:59.1061572Z + DEVICE_TYPE= 2025-09-07T12:06:59.1061793Z + command -v nvidia-smi 2025-09-07T12:06:59.1064923Z + python3 -mpip install torch==2.7.1 2025-09-07T12:06:59.1065231Z /usr/bin/nvidia-smi 2025-09-07T12:06:59.3798082Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T12:06:59.6052611Z Collecting torch==2.7.1 2025-09-07T12:06:59.6599135Z Downloading torch-2.7.1-cp310-cp310-manylinux_2_28_x86_64.whl (821.2 MB) 2025-09-07T12:07:13.7729179Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 821.2/821.2 MB 1.0 MB/s eta 0:00:00 2025-09-07T12:07:15.1759150Z Collecting fsspec 2025-09-07T12:07:15.1862144Z Downloading fsspec-2025.9.0-py3-none-any.whl (199 kB) 2025-09-07T12:07:15.5115318Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.3/199.3 KB 585.1 kB/s eta 0:00:00 2025-09-07T12:07:15.8447039Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-09-07T12:07:15.8579426Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-09-07T12:07:18.2833694Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 158.2/158.2 MB 5.8 MB/s eta 0:00:00 2025-09-07T12:07:18.4539370Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-09-07T12:07:18.4659985Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-09-07T12:07:18.4810071Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 87.5 MB/s eta 0:00:00 2025-09-07T12:07:18.4835219Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/eve/.local/lib/python3.10/site-packages (from torch==2.7.1) (4.15.0) 2025-09-07T12:07:18.5259901Z Collecting networkx 2025-09-07T12:07:18.5363040Z Downloading networkx-3.4.2-py3-none-any.whl (1.7 MB) 2025-09-07T12:07:18.5553438Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 99.2 MB/s eta 0:00:00 2025-09-07T12:07:18.5793486Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-09-07T12:07:18.5924547Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-09-07T12:07:20.3754962Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 156.8/156.8 MB 9.1 MB/s eta 0:00:00 2025-09-07T12:07:20.5537568Z Collecting jinja2 2025-09-07T12:07:20.5641792Z Downloading jinja2-3.1.6-py3-none-any.whl (134 kB) 2025-09-07T12:07:20.5730562Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 134.9/134.9 KB 18.5 MB/s eta 0:00:00 2025-09-07T12:07:20.5982612Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-09-07T12:07:20.6102183Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-09-07T12:07:20.7752367Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.7/19.7 MB 84.9 MB/s eta 0:00:00 2025-09-07T12:07:20.8213380Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-09-07T12:07:20.8351867Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-09-07T12:07:23.1955928Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 216.6/216.6 MB 7.2 MB/s eta 0:00:00 2025-09-07T12:07:23.4210908Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-09-07T12:07:23.4339589Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-09-07T12:07:28.5034696Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 393.1/393.1 MB 3.1 MB/s eta 0:00:00 2025-09-07T12:07:28.9007011Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-09-07T12:07:28.9138089Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-09-07T12:07:43.7781340Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 571.0/571.0 MB 830.2 kB/s eta 0:00:00 2025-09-07T12:07:44.7744289Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-09-07T12:07:44.7866035Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-09-07T12:07:44.8971801Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 897.7/897.7 KB 8.2 MB/s eta 0:00:00 2025-09-07T12:07:44.9226781Z Collecting nvidia-nvtx-cu12==12.6.77 2025-09-07T12:07:44.9327463Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-09-07T12:07:44.9398773Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 89.3/89.3 KB 14.2 MB/s eta 0:00:00 2025-09-07T12:07:44.9725297Z Collecting sympy>=1.13.3 2025-09-07T12:07:44.9830459Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-09-07T12:07:45.0338801Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/6.3 MB 128.6 MB/s eta 0:00:00 2025-09-07T12:07:45.0867698Z Collecting filelock 2025-09-07T12:07:45.0969042Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-09-07T12:07:45.1277895Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-09-07T12:07:45.1396325Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-09-07T12:07:47.2564618Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 200.2/200.2 MB 8.3 MB/s eta 0:00:00 2025-09-07T12:07:47.4765751Z Collecting nvidia-nccl-cu12==2.26.2 2025-09-07T12:07:47.4897733Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-09-07T12:07:49.5735078Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 201.3/201.3 MB 8.2 MB/s eta 0:00:00 2025-09-07T12:07:49.7856785Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-09-07T12:07:49.7991593Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-09-07T12:07:50.6700824Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 12.6 MB/s eta 0:00:00 2025-09-07T12:07:50.9954247Z Collecting nvidia-curand-cu12==10.3.7.77 2025-09-07T12:07:51.0089155Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-09-07T12:07:52.5576761Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.3/56.3 MB 7.6 MB/s eta 0:00:00 2025-09-07T12:07:52.9368190Z Collecting triton==3.3.1 2025-09-07T12:07:52.9477027Z Downloading triton-3.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-09-07T12:07:56.6759924Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.6/155.6 MB 3.3 MB/s eta 0:00:00 2025-09-07T12:07:57.2057223Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-09-07T12:07:57.2198758Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-09-07T12:07:57.7157611Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.9/8.9 MB 18.0 MB/s eta 0:00:00 2025-09-07T12:07:57.7509927Z 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) 2025-09-07T12:07:58.0437344Z Collecting mpmath<1.4,>=1.1.0 2025-09-07T12:07:58.0538592Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-09-07T12:07:58.4208570Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 536.2/536.2 KB 1.4 MB/s eta 0:00:00 2025-09-07T12:07:58.7019640Z Collecting MarkupSafe>=2.0 2025-09-07T12:07:58.7125152Z Downloading MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20 kB) 2025-09-07T12:07:59.0356095Z 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 2025-09-07T12:08:03.1257336Z WARNING: The scripts proton and proton-viewer are installed in '/home/eve/.local/bin' which is not on PATH. 2025-09-07T12:08:03.1258222Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T12:08:06.6394242Z WARNING: The script isympy is installed in '/home/eve/.local/bin' which is not on PATH. 2025-09-07T12:08:06.6395111Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T12:08:40.1088432Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/eve/.local/bin' which is not on PATH. 2025-09-07T12:08:40.1089335Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T12:08:40.8865300Z 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 2025-09-07T12:08:41.5827878Z + echo DEVICE_NAME= 2025-09-07T12:08:41.5828316Z + echo DEVICE_TYPE= 2025-09-07T12:08:41.6041209Z ##[group]Run set -eux 2025-09-07T12:08:41.6041440Z set -eux 2025-09-07T12:08:41.6041632Z  2025-09-07T12:08:41.6041827Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T12:08:41.6042114Z  echo "Missing github-token input" 2025-09-07T12:08:41.6042365Z  exit 1 2025-09-07T12:08:41.6042541Z fi 2025-09-07T12:08:41.6056583Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:08:41.6056886Z env: 2025-09-07T12:08:41.6057046Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:41.6057297Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:41.6057647Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:41.6058106Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:41.6058508Z DEVICE_NAME: 2025-09-07T12:08:41.6058679Z DEVICE_TYPE: 2025-09-07T12:08:41.6059039Z GITHUB_TOKEN: *** 2025-09-07T12:08:41.6059219Z ##[endgroup] 2025-09-07T12:08:41.6449411Z + [[ -z *** ]] 2025-09-07T12:08:41.7519070Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T12:08:41.7519433Z with: 2025-09-07T12:08:41.7519806Z github-token: *** 2025-09-07T12:08:41.7520001Z env: 2025-09-07T12:08:41.7520170Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:41.7520647Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:41.7521030Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:41.7521510Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:41.7521919Z DEVICE_NAME: 2025-09-07T12:08:41.7522109Z DEVICE_TYPE: 2025-09-07T12:08:41.7522289Z ##[endgroup] 2025-09-07T12:08:41.8452157Z ##[group]Run set -eux 2025-09-07T12:08:41.8452571Z set -eux 2025-09-07T12:08:41.8452740Z  2025-09-07T12:08:41.8453108Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T12:08:41.8467744Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:08:41.8468045Z env: 2025-09-07T12:08:41.8468214Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:41.8468464Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:41.8468803Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:41.8469250Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:41.8469633Z DEVICE_NAME: 2025-09-07T12:08:41.8469796Z DEVICE_TYPE: 2025-09-07T12:08:41.8470163Z GITHUB_TOKEN: *** 2025-09-07T12:08:41.8470516Z ##[endgroup] 2025-09-07T12:08:41.8950184Z + python3 /home/eve/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525296438 i-0b7d0f7dc0527ca9b-1005 2025-09-07T12:08:42.9613998Z setting job-id=49775781824 2025-09-07T12:08:42.9614526Z setting job-name=test-weekly / test (inductor_huggingface_perf_cuda_h100, 2, 5, linux.aws.h100) 2025-09-07T12:08:42.9881760Z ##[group]Run set -eux 2025-09-07T12:08:42.9881995Z set -eux 2025-09-07T12:08:42.9882176Z  2025-09-07T12:08:42.9882351Z if [[ -n "" ]]; then 2025-09-07T12:08:42.9882565Z  source "" 2025-09-07T12:08:42.9882753Z fi 2025-09-07T12:08:42.9882916Z  2025-09-07T12:08:42.9883232Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T12:08:42.9883662Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T12:08:42.9883937Z  --repo "${REPO}" \ 2025-09-07T12:08:42.9884181Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T12:08:42.9884448Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T12:08:42.9884931Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T12:08:42.9885240Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T12:08:42.9885502Z  --job-id "${JOB_ID}" \ 2025-09-07T12:08:42.9885747Z  --job-name "${JOB_NAME}" 2025-09-07T12:08:42.9900082Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:08:42.9900542Z env: 2025-09-07T12:08:42.9900711Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:42.9900959Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:42.9901297Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:42.9901752Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:42.9902125Z DEVICE_NAME: 2025-09-07T12:08:42.9902295Z DEVICE_TYPE: 2025-09-07T12:08:42.9902460Z SCHEMA_VERSION: v3 2025-09-07T12:08:42.9902643Z REPO: pytorch/pytorch 2025-09-07T12:08:42.9902907Z HEAD_BRANCH: refs/heads/main 2025-09-07T12:08:42.9903160Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T12:08:42.9903421Z WORKFLOW_RUN_ID: 17525296438 2025-09-07T12:08:42.9903622Z RUN_ATTEMPT: 1 2025-09-07T12:08:42.9903777Z JOB_ID: 49775781824 2025-09-07T12:08:42.9904106Z JOB_NAME: test-weekly / test (inductor_huggingface_perf_cuda_h100, 2, 5, linux.aws.h100) 2025-09-07T12:08:42.9904467Z ##[endgroup] 2025-09-07T12:08:43.0376971Z + [[ -n '' ]] 2025-09-07T12:08:43.0378723Z + python3 /home/eve/_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 49775781824 --job-name 'test-weekly / test (inductor_huggingface_perf_cuda_h100, 2, 5, linux.aws.h100)' 2025-09-07T12:08:43.1288595Z ##[group]Run set -eux 2025-09-07T12:08:43.1288809Z set -eux 2025-09-07T12:08:43.1288975Z  2025-09-07T12:08:43.1289323Z if [[ -n "" ]]; then 2025-09-07T12:08:43.1289539Z  source "" 2025-09-07T12:08:43.1289723Z fi 2025-09-07T12:08:43.1289881Z  2025-09-07T12:08:43.1290189Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T12:08:43.1304083Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:08:43.1304385Z env: 2025-09-07T12:08:43.1304545Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:43.1304802Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:43.1305140Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:43.1305590Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:43.1305974Z DEVICE_NAME: 2025-09-07T12:08:43.1306133Z DEVICE_TYPE: 2025-09-07T12:08:43.1306298Z ##[endgroup] 2025-09-07T12:08:43.1788446Z + [[ -n '' ]] 2025-09-07T12:08:43.1789076Z + python3 /home/eve/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T12:08:43.9256321Z /home/eve/.local/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-09-07T12:08:43.9258269Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-09-07T12:08:45.5149651Z ##[group]Run set -eux 2025-09-07T12:08:45.5149873Z set -eux 2025-09-07T12:08:45.5150052Z  2025-09-07T12:08:45.5150413Z # TODO (huydhn): Implement this part 2025-09-07T12:08:45.5150719Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T12:08:45.5164855Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:08:45.5165160Z env: 2025-09-07T12:08:45.5165323Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:45.5165582Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:45.5166158Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:45.5166634Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:45.5167013Z DEVICE_NAME: 2025-09-07T12:08:45.5167299Z DEVICE_TYPE: 2025-09-07T12:08:45.5167462Z ##[endgroup] 2025-09-07T12:08:45.5633916Z + echo 'dependencies={}' 2025-09-07T12:08:45.6124593Z ##[group]Run set -eux 2025-09-07T12:08:45.6124826Z set -eux 2025-09-07T12:08:45.6125006Z  2025-09-07T12:08:45.6125172Z if [[ -n "" ]]; then 2025-09-07T12:08:45.6125388Z  source "" 2025-09-07T12:08:45.6125587Z fi 2025-09-07T12:08:45.6125756Z  2025-09-07T12:08:45.6125957Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T12:08:45.6126323Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T12:08:45.6126720Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T12:08:45.6127050Z  exit 0 2025-09-07T12:08:45.6127225Z fi 2025-09-07T12:08:45.6127369Z  2025-09-07T12:08:45.6127548Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T12:08:45.6127946Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T12:08:45.6128372Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T12:08:45.6128692Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T12:08:45.6128954Z  --runners "${RUNNER_INFO}" \ 2025-09-07T12:08:45.6129210Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T12:08:45.6129455Z  --dry-run 2025-09-07T12:08:45.6129634Z else 2025-09-07T12:08:45.6129922Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T12:08:45.6130506Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T12:08:45.6130818Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T12:08:45.6131241Z  --runners "${RUNNER_INFO}" \ 2025-09-07T12:08:45.6131499Z  --dependencies "${DEPENDENCIES}" 2025-09-07T12:08:45.6131734Z fi 2025-09-07T12:08:45.6145350Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:08:45.6145665Z env: 2025-09-07T12:08:45.6145827Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:45.6146072Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:45.6146416Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:45.6146863Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:45.6147251Z DEVICE_NAME: 2025-09-07T12:08:45.6147410Z DEVICE_TYPE: 2025-09-07T12:08:45.6147593Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T12:08:45.6147825Z DRY_RUN: false 2025-09-07T12:08:45.6148881Z BENCHMARK_METADATA: {"timestamp": 1757246923, "schema_version": "v3", "name": "test-weekly / test (inductor_huggingface_perf_cuda_h100, 2, 5, linux.aws.h100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525296438, "run_attempt": 1, "job_id": 49775781824} 2025-09-07T12:08:45.6150510Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 192, "avail_mem_in_gb": 1999, "extra_info": {"hostname": "5a777ccf0584"}, "name": "cuda", "type": "NVIDIA H100 80GB HBM3", "gpu_count": 1, "avail_gpu_mem_in_gb": 79}] 2025-09-07T12:08:45.6151132Z DEPENDENCIES: {} 2025-09-07T12:08:45.6151295Z ##[endgroup] 2025-09-07T12:08:45.6601530Z + [[ -n '' ]] 2025-09-07T12:08:45.6601755Z + [[ ! -d test/test-reports ]] 2025-09-07T12:08:45.6602000Z + [[ false == \t\r\u\e ]] 2025-09-07T12:08:45.6605076Z + python3 /home/eve/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1757246923, "schema_version": "v3", "name": "test-weekly / test (inductor_huggingface_perf_cuda_h100, 2, 5, linux.aws.h100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525296438, "run_attempt": 1, "job_id": 49775781824}' --runners '[{"cpu_info": "x86_64", "cpu_count": 192, "avail_mem_in_gb": 1999, "extra_info": {"hostname": "5a777ccf0584"}, "name": "cuda", "type": "NVIDIA H100 80GB HBM3", "gpu_count": 1, "avail_gpu_mem_in_gb": 79}]' --dependencies '{}' 2025-09-07T12:08:45.9258694Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance.json 2025-09-07T12:08:45.9629628Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T12:08:46.1911159Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:08:46.3365498Z 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/17525296438/49775781824/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:08:46.5097282Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:08:46.6966147Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_dynamic_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:08:46.8668911Z 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/17525296438/49775781824/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:08:47.0164187Z 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/17525296438/49775781824/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:08:47.1668314Z 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/17525296438/49775781824/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:08:47.3283302Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:08:47.4618595Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:08:47.5711122Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:08:47.6985815Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_dynamic_huggingface_amp_training_cuda_h100_accuracy.json 2025-09-07T12:08:47.8292977Z INFO:root:Upload test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:08:47.9725586Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:08:48.1235024Z 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/17525296438/49775781824/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:08:48.2644493Z 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/17525296438/49775781824/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:08:48.4454055Z 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/17525296438/49775781824/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:08:48.6284122Z 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/17525296438/49775781824/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:08:48.7739854Z 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/17525296438/49775781824/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:08:48.9185575Z 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/17525296438/49775781824/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:08:49.0766361Z 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/17525296438/49775781824/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:08:49.2395159Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json 2025-09-07T12:08:49.3781452Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance.json 2025-09-07T12:08:49.4972924Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance.json 2025-09-07T12:08:49.6251638Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:08:49.7614716Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:08:49.9232097Z 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/17525296438/49775781824/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:08:50.1099287Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:08:50.2264662Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_accuracy.json 2025-09-07T12:08:50.3656848Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:08:50.4958891Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_dynamic_huggingface_amp_training_cuda_h100_performance.json 2025-09-07T12:08:50.6303269Z INFO:root:Upload test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:08:50.7690155Z 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/17525296438/49775781824/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:08:51.0362288Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance.json 2025-09-07T12:08:51.1779580Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:08:51.2939412Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:08:51.4452221Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json 2025-09-07T12:08:51.5891189Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_max_autotune_huggingface_amp_training_cuda_h100_accuracy.json 2025-09-07T12:08:51.7213304Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:08:51.8517544Z INFO:root:Upload test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781824/inductor_export_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:08:52.0375524Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T12:08:52.0375876Z cat test/**/*_toprint.log || true 2025-09-07T12:08:52.0390107Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:08:52.0390568Z env: 2025-09-07T12:08:52.0390725Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:52.0390993Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:52.0391349Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:52.0391792Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:52.0392188Z DEVICE_NAME: 2025-09-07T12:08:52.0392357Z DEVICE_TYPE: 2025-09-07T12:08:52.0392513Z ##[endgroup] 2025-09-07T12:08:52.0956216Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T12:08:52.1308007Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T12:08:52.1308584Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T12:08:52.1321811Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:08:52.1322119Z env: 2025-09-07T12:08:52.1322281Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:52.1322543Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:52.1322890Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:52.1323343Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:52.1323726Z DEVICE_NAME: 2025-09-07T12:08:52.1323887Z DEVICE_TYPE: 2025-09-07T12:08:52.1324052Z MONITOR_SCRIPT_PID: 7902 2025-09-07T12:08:52.1324414Z ##[endgroup] 2025-09-07T12:08:52.1886104Z Prepare all required actions 2025-09-07T12:08:52.1886470Z Getting action download info 2025-09-07T12:08:52.3403417Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T12:08:53.1319987Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T12:08:54.6288392Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T12:08:54.6288663Z with: 2025-09-07T12:08:54.6288964Z file-suffix: test-inductor_huggingface_perf_cuda_h100-2-5-linux.aws.h100_49775781824 2025-09-07T12:08:54.6289340Z s3-bucket: gha-artifacts 2025-09-07T12:08:54.6289526Z env: 2025-09-07T12:08:54.6289676Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:54.6289912Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:54.6290422Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:54.6290912Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:54.6291309Z DEVICE_NAME: 2025-09-07T12:08:54.6291467Z DEVICE_TYPE: 2025-09-07T12:08:54.6291624Z ##[endgroup] 2025-09-07T12:08:54.7675556Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T12:08:54.7675940Z # Remove any previous test jsons if they exist 2025-09-07T12:08:54.7676246Z rm -f test-jsons-*.zip 2025-09-07T12:08:54.7676582Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T12:08:54.7690752Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:08:54.7691042Z env: 2025-09-07T12:08:54.7691199Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:54.7691447Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:54.7691775Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:54.7692209Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:54.7692594Z DEVICE_NAME: 2025-09-07T12:08:54.7692769Z DEVICE_TYPE: 2025-09-07T12:08:54.7693071Z FILE_SUFFIX: test-inductor_huggingface_perf_cuda_h100-2-5-linux.aws.h100_49775781824 2025-09-07T12:08:54.7693581Z ##[endgroup] 2025-09-07T12:08:54.8241569Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:08:54.8264783Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:08:54.8340866Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:08:54.8406528Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:08:54.8481834Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:08:54.8545551Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:08:54.8594293Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:08:54.8670561Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:08:54.8686173Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:08:54.8702118Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:08:54.8725760Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:08:54.8736320Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T12:08:54.8759587Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:08:54.8775096Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:08:54.8791351Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:08:54.8862259Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:08:54.8923187Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:08:54.8987682Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:08:54.9061383Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:08:54.9146940Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:08:54.9222056Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:08:54.9232451Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T12:08:54.9255907Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:08:54.9278666Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:08:54.9302690Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:08:54.9325594Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:08:54.9391415Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:08:54.9414804Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:08:54.9430437Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:08:54.9446182Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:08:54.9469357Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:08:54.9484811Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:08:54.9508199Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:08:54.9531567Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:08:54.9554264Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:08:54.9570886Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:08:54.9586152Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:08:54.9597124Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T12:08:54.9613167Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:08:54.9628559Z adding: test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:08:55.0075477Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T12:08:55.0075901Z # Remove any previous test reports if they exist 2025-09-07T12:08:55.0076228Z rm -f test-reports-*.zip 2025-09-07T12:08:55.0076615Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T12:08:55.0090951Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:08:55.0091259Z env: 2025-09-07T12:08:55.0091441Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:55.0091701Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:55.0092068Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:55.0092524Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:55.0092927Z DEVICE_NAME: 2025-09-07T12:08:55.0093110Z DEVICE_TYPE: 2025-09-07T12:08:55.0093434Z FILE_SUFFIX: test-inductor_huggingface_perf_cuda_h100-2-5-linux.aws.h100_49775781824 2025-09-07T12:08:55.0093801Z ##[endgroup] 2025-09-07T12:08:55.0598830Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T12:08:55.0600593Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T12:08:55.0601790Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T12:08:55.0602749Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T12:08:55.0603944Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T12:08:55.0605445Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T12:08:55.0606310Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T12:08:55.0607132Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 50%) 2025-09-07T12:08:55.0607907Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance.csv (deflated 48%) 2025-09-07T12:08:55.0608624Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_accuracy.csv (deflated 46%) 2025-09-07T12:08:55.0609424Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T12:08:55.0610418Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T12:08:55.0611363Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T12:08:55.0612314Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T12:08:55.0614029Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T12:08:55.0614881Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T12:08:55.0615926Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance.csv (deflated 48%) 2025-09-07T12:08:55.0616667Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.csv (deflated 52%) 2025-09-07T12:08:55.0617350Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_accuracy.csv (deflated 47%) 2025-09-07T12:08:55.0618057Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T12:08:55.0618803Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance.csv (deflated 47%) 2025-09-07T12:08:55.0619550Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T12:08:55.0620480Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T12:08:55.0621346Z adding: test/test-reports/inductor_cudagraphs_low_precision_huggingface_quant_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T12:08:55.0622112Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance.csv (deflated 48%) 2025-09-07T12:08:55.0622941Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T12:08:55.0623711Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance.csv (deflated 47%) 2025-09-07T12:08:55.0624416Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T12:08:55.0625148Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.csv (deflated 46%) 2025-09-07T12:08:55.0625969Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T12:08:55.0626808Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T12:08:55.0627661Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T12:08:55.0628423Z adding: test/test-reports/inductor_cudagraphs_low_precision_huggingface_quant_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T12:08:55.0629191Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T12:08:55.0629977Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T12:08:55.0630869Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 55%) 2025-09-07T12:08:55.0631575Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 64%) 2025-09-07T12:08:55.0632376Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T12:08:55.0633159Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_accuracy.csv (deflated 52%) 2025-09-07T12:08:55.0634037Z adding: test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 55%) 2025-09-07T12:08:55.0634782Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T12:08:55.0635585Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T12:08:55.1022318Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T12:08:55.1022664Z # Remove any previous usage logs if they exist 2025-09-07T12:08:55.1023251Z rm -f logs-*.zip 2025-09-07T12:08:55.1023520Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T12:08:55.1023907Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T12:08:55.1036805Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:08:55.1037112Z env: 2025-09-07T12:08:55.1037284Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:55.1037532Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:55.1037889Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:55.1038362Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:55.1038761Z DEVICE_NAME: 2025-09-07T12:08:55.1038941Z DEVICE_TYPE: 2025-09-07T12:08:55.1039243Z FILE_SUFFIX: test-inductor_huggingface_perf_cuda_h100-2-5-linux.aws.h100_49775781824 2025-09-07T12:08:55.1039614Z ##[endgroup] 2025-09-07T12:08:55.1602828Z adding: usage_log.txt (deflated 91%) 2025-09-07T12:08:55.1618661Z 2025-09-07T12:08:55.1619138Z zip error: Nothing to do! (logs-test-inductor_huggingface_perf_cuda_h100-2-5-linux.aws.h100_49775781824.zip) 2025-09-07T12:08:55.2419713Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T12:08:55.2420110Z # Remove any previous debugging artifacts if they exist 2025-09-07T12:08:55.2420632Z rm -f debug-*.zip 2025-09-07T12:08:55.2420855Z if [ -d 'test/debug' ]; then 2025-09-07T12:08:55.2421130Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T12:08:55.2421397Z fi 2025-09-07T12:08:55.2434259Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:08:55.2434558Z env: 2025-09-07T12:08:55.2434715Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:55.2434963Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:55.2435304Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:55.2435782Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:55.2436184Z DEVICE_NAME: 2025-09-07T12:08:55.2436356Z DEVICE_TYPE: 2025-09-07T12:08:55.2436816Z FILE_SUFFIX: test-inductor_huggingface_perf_cuda_h100-2-5-linux.aws.h100_49775781824 2025-09-07T12:08:55.2437194Z ##[endgroup] 2025-09-07T12:08:55.3836219Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T12:08:55.3836493Z with: 2025-09-07T12:08:55.3836667Z s3-bucket: gha-artifacts 2025-09-07T12:08:55.3836926Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:08:55.3837206Z retention-days: 14 2025-09-07T12:08:55.3837402Z if-no-files-found: warn 2025-09-07T12:08:55.3837614Z path: test-jsons-*.zip 2025-09-07T12:08:55.3837817Z name: artifact 2025-09-07T12:08:55.3837989Z region: us-east-1 2025-09-07T12:08:55.3838166Z env: 2025-09-07T12:08:55.3838328Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:55.3838588Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:55.3838977Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:55.3839524Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:55.3839937Z DEVICE_NAME: 2025-09-07T12:08:55.3840129Z DEVICE_TYPE: 2025-09-07T12:08:55.3840424Z ##[endgroup] 2025-09-07T12:08:55.6820580Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T12:08:55.6821109Z With the provided path, there will be 1 file uploaded 2025-09-07T12:08:55.6821507Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:08:55.6829661Z Starting upload of test-jsons-test-inductor_huggingface_perf_cuda_h100-2-5-linux.aws.h100_49775781824.zip 2025-09-07T12:08:56.0424810Z Finished upload of test-jsons-test-inductor_huggingface_perf_cuda_h100-2-5-linux.aws.h100_49775781824.zip 2025-09-07T12:08:56.1322912Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T12:08:56.1323210Z with: 2025-09-07T12:08:56.1323571Z s3-bucket: gha-artifacts 2025-09-07T12:08:56.1324023Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:08:56.1324338Z retention-days: 14 2025-09-07T12:08:56.1324536Z if-no-files-found: error 2025-09-07T12:08:56.1324767Z path: test-reports-*.zip 2025-09-07T12:08:56.1324964Z name: artifact 2025-09-07T12:08:56.1325145Z region: us-east-1 2025-09-07T12:08:56.1325322Z env: 2025-09-07T12:08:56.1325491Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:56.1325759Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:56.1326136Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:56.1326637Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:56.1327063Z DEVICE_NAME: 2025-09-07T12:08:56.1327228Z DEVICE_TYPE: 2025-09-07T12:08:56.1327392Z ##[endgroup] 2025-09-07T12:08:56.4346775Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T12:08:56.4347173Z With the provided path, there will be 1 file uploaded 2025-09-07T12:08:56.4347563Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:08:56.4355906Z Starting upload of test-reports-test-inductor_huggingface_perf_cuda_h100-2-5-linux.aws.h100_49775781824.zip 2025-09-07T12:08:56.6096860Z Finished upload of test-reports-test-inductor_huggingface_perf_cuda_h100-2-5-linux.aws.h100_49775781824.zip 2025-09-07T12:08:56.6556987Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T12:08:56.6557271Z with: 2025-09-07T12:08:56.6557449Z s3-bucket: gha-artifacts 2025-09-07T12:08:56.6557727Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:08:56.6558020Z retention-days: 14 2025-09-07T12:08:56.6558223Z if-no-files-found: ignore 2025-09-07T12:08:56.6558443Z path: logs-*.zip 2025-09-07T12:08:56.6558650Z name: artifact 2025-09-07T12:08:56.6558844Z region: us-east-1 2025-09-07T12:08:56.6559024Z env: 2025-09-07T12:08:56.6559195Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:56.6559492Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:56.6559890Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:56.6560554Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:56.6561127Z DEVICE_NAME: 2025-09-07T12:08:56.6561304Z DEVICE_TYPE: 2025-09-07T12:08:56.6561469Z ##[endgroup] 2025-09-07T12:08:56.9540067Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T12:08:56.9540595Z With the provided path, there will be 1 file uploaded 2025-09-07T12:08:56.9540953Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:08:56.9549965Z Starting upload of logs-test-inductor_huggingface_perf_cuda_h100-2-5-linux.aws.h100_49775781824.zip 2025-09-07T12:08:57.1186440Z Finished upload of logs-test-inductor_huggingface_perf_cuda_h100-2-5-linux.aws.h100_49775781824.zip 2025-09-07T12:08:57.1824403Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T12:08:57.1824775Z with: 2025-09-07T12:08:57.1825090Z s3-bucket: gha-artifacts 2025-09-07T12:08:57.1825549Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:08:57.1825916Z retention-days: 14 2025-09-07T12:08:57.1826171Z if-no-files-found: ignore 2025-09-07T12:08:57.1826518Z path: debug-*.zip 2025-09-07T12:08:57.1826791Z name: artifact 2025-09-07T12:08:57.1827058Z region: us-east-1 2025-09-07T12:08:57.1827393Z env: 2025-09-07T12:08:57.1827607Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:57.1827959Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:57.1828453Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:57.1829010Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:57.1829440Z DEVICE_NAME: 2025-09-07T12:08:57.1829758Z DEVICE_TYPE: 2025-09-07T12:08:57.1830015Z ##[endgroup] 2025-09-07T12:08:57.4785004Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T12:08:57.5186771Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T12:08:57.5187226Z # shellcheck disable=SC2156 2025-09-07T12:08:57.5187841Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T12:08:57.5202828Z shell: /usr/bin/bash -e {0} 2025-09-07T12:08:57.5203241Z env: 2025-09-07T12:08:57.5203506Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:57.5203827Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:57.5204352Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:57.5204926Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:57.5205423Z DEVICE_NAME: 2025-09-07T12:08:57.5205747Z DEVICE_TYPE: 2025-09-07T12:08:57.5205970Z ##[endgroup] 2025-09-07T12:08:58.2553541Z Prepare all required actions 2025-09-07T12:08:58.2553883Z Getting action download info 2025-09-07T12:08:58.4115535Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T12:08:58.4115852Z with: 2025-09-07T12:08:58.4116018Z job_id: 49775781824 2025-09-07T12:08:58.4116357Z job_name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 2, 5, linux.aws.h100) 2025-09-07T12:08:58.4116796Z workflow_name: inductor-perf-nightly-h100 2025-09-07T12:08:58.4117067Z workflow_run_id: 17525296438 2025-09-07T12:08:58.4117284Z workflow_attempt: 1 2025-09-07T12:08:58.4117468Z env: 2025-09-07T12:08:58.4117626Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:58.4117892Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:58.4118257Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:58.4118735Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:58.4119154Z DEVICE_NAME: 2025-09-07T12:08:58.4119351Z DEVICE_TYPE: 2025-09-07T12:08:58.4119518Z ##[endgroup] 2025-09-07T12:08:58.5547987Z ##[group]Run echo "workflow_id: 17525296438" 2025-09-07T12:08:58.5548283Z echo "workflow_id: 17525296438" 2025-09-07T12:08:58.5548519Z echo "workflow_attempt: 1" 2025-09-07T12:08:58.5548803Z echo "workflow_Name: inductor-perf-nightly-h100" 2025-09-07T12:08:58.5549231Z echo "job_id: 49775781824" 2025-09-07T12:08:58.5549643Z echo "job_name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 2, 5, linux.aws.h100)" 2025-09-07T12:08:58.5550106Z echo "artifact_prefix: " 2025-09-07T12:08:58.5550528Z python3 --version 2025-09-07T12:08:58.5564504Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:08:58.5564798Z env: 2025-09-07T12:08:58.5564959Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:58.5565199Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:58.5565531Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:58.5565968Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:58.5566364Z DEVICE_NAME: 2025-09-07T12:08:58.5566526Z DEVICE_TYPE: 2025-09-07T12:08:58.5566675Z ##[endgroup] 2025-09-07T12:08:58.6043690Z workflow_id: 17525296438 2025-09-07T12:08:58.6043912Z workflow_attempt: 1 2025-09-07T12:08:58.6044140Z workflow_Name: inductor-perf-nightly-h100 2025-09-07T12:08:58.6044405Z job_id: 49775781824 2025-09-07T12:08:58.6044724Z job_name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 2, 5, linux.aws.h100) 2025-09-07T12:08:58.6045102Z artifact_prefix: 2025-09-07T12:08:58.6061544Z Python 3.10.12 2025-09-07T12:08:58.6964992Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T12:08:58.6965239Z with: 2025-09-07T12:08:58.6965388Z shell: bash 2025-09-07T12:08:58.6965555Z timeout_minutes: 5 2025-09-07T12:08:58.6965734Z max_attempts: 5 2025-09-07T12:08:58.6965911Z retry_wait_seconds: 30 2025-09-07T12:08:58.6966336Z 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 2025-09-07T12:08:58.6966953Z polling_interval_seconds: 1 2025-09-07T12:08:58.6967167Z warning_on_retry: true 2025-09-07T12:08:58.6967360Z continue_on_error: false 2025-09-07T12:08:58.6967544Z env: 2025-09-07T12:08:58.6967698Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:08:58.6967947Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:08:58.6968295Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:08:58.6968746Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:08:58.6969137Z DEVICE_NAME: 2025-09-07T12:08:58.6969304Z DEVICE_TYPE: 2025-09-07T12:08:58.6969468Z ##[endgroup] 2025-09-07T12:08:59.0397697Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T12:08:59.4791552Z Collecting python-dateutil==2.8.2 2025-09-07T12:08:59.5401794Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T12:08:59.8923686Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 247.7/247.7 KB 679.3 kB/s eta 0:00:00 2025-09-07T12:09:00.8317893Z Collecting boto3==1.35.42 2025-09-07T12:09:00.8442401Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T12:09:01.2432028Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.2/139.2 KB 324.9 kB/s eta 0:00:00 2025-09-07T12:09:01.7301772Z Collecting pandas==2.1.3 2025-09-07T12:09:01.7423546Z Downloading pandas-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T12:09:02.0658215Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.3/12.3 MB 35.1 MB/s eta 0:00:00 2025-09-07T12:09:02.1022641Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/eve/.local/lib/python3.10/site-packages (0.6.7) 2025-09-07T12:09:02.1038279Z Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil==2.8.2) (1.16.0) 2025-09-07T12:09:02.1084029Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /home/eve/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.0.1) 2025-09-07T12:09:02.1088857Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/eve/.local/lib/python3.10/site-packages (from boto3==1.35.42) (0.10.4) 2025-09-07T12:09:02.1093181Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/eve/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.35.99) 2025-09-07T12:09:02.2090567Z Collecting tzdata>=2022.1 2025-09-07T12:09:02.2212723Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T12:09:02.2479338Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 347.8/347.8 KB 13.7 MB/s eta 0:00:00 2025-09-07T12:09:02.3251776Z Collecting pytz>=2020.1 2025-09-07T12:09:02.3371886Z Downloading pytz-2025.2-py2.py3-none-any.whl (509 kB) 2025-09-07T12:09:02.8483778Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 509.2/509.2 KB 980.1 kB/s eta 0:00:00 2025-09-07T12:09:03.6553538Z Collecting numpy<2,>=1.22.4 2025-09-07T12:09:03.6684268Z Downloading numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T12:09:04.0280438Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 18.2/18.2 MB 31.9 MB/s eta 0:00:00 2025-09-07T12:09:04.0541567Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/eve/.local/lib/python3.10/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-09-07T12:09:04.0555745Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/eve/.local/lib/python3.10/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-09-07T12:09:04.0630049Z 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) 2025-09-07T12:09:04.0716388Z Requirement already satisfied: packaging>=17.0 in /home/eve/.local/lib/python3.10/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-09-07T12:09:04.0815831Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/eve/.local/lib/python3.10/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0) 2025-09-07T12:09:04.0820629Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/eve/.local/lib/python3.10/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-09-07T12:09:04.3432809Z Installing collected packages: pytz, tzdata, python-dateutil, numpy, pandas, boto3 2025-09-07T12:09:08.3432253Z WARNING: The script f2py is installed in '/home/eve/.local/bin' which is not on PATH. 2025-09-07T12:09:08.3433666Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T12:09:12.2926101Z Attempting uninstall: boto3 2025-09-07T12:09:12.2933068Z Found existing installation: boto3 1.35.33 2025-09-07T12:09:12.3152520Z Uninstalling boto3-1.35.33: 2025-09-07T12:09:12.3173079Z Successfully uninstalled boto3-1.35.33 2025-09-07T12:09:12.9035991Z 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 2025-09-07T12:09:13.7766005Z Command completed after 1 attempt(s). 2025-09-07T12:09:13.8059179Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T12:09:13.8062092Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T12:09:13.8062545Z  --workflow-run-id "17525296438" \ 2025-09-07T12:09:13.8062957Z  --workflow-name "inductor-perf-nightly-h100" \ 2025-09-07T12:09:13.8063283Z  --workflow-run-attempt "1" \ 2025-09-07T12:09:13.8063536Z  --job-id "49775781824" \ 2025-09-07T12:09:13.8063943Z  --job-name "test-weekly / test (inductor_huggingface_perf_cuda_h100, 2, 5, linux.aws.h100)" \ 2025-09-07T12:09:13.8064384Z  --local-path "" \ 2025-09-07T12:09:13.8064622Z  --artifact-prefix "" 2025-09-07T12:09:13.8079006Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:09:13.8079311Z env: 2025-09-07T12:09:13.8079472Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:09:13.8079737Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:09:13.8080105Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T12:09:13.8080706Z DOCKER_CONTAINER_ID: 05c32e2ae90902b840eb13bd3653c4aa48f74d4e14717dcafbbf741501657f5a 2025-09-07T12:09:13.8081261Z DEVICE_NAME: 2025-09-07T12:09:13.8081443Z DEVICE_TYPE: 2025-09-07T12:09:13.8081614Z ##[endgroup] 2025-09-07T12:09:15.7665746Z repo: pytorch/pytorch 2025-09-07T12:09:15.7666348Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T12:09:15.7667282Z Downloading logs-test-inductor_huggingface_perf_cuda_h100-2-5-linux.aws.h100_49775781824.zip 2025-09-07T12:09:15.7668571Z extracting usage_log.txt from zip file logs-test-inductor_huggingface_perf_cuda_h100-2-5-linux.aws.h100_49775781824.zip 2025-09-07T12:09:15.7669556Z Converted Log Model: UtilizationMetadata: 2025-09-07T12:09:15.7672445Z UtilizationMetadata(level='metadata', workflow_id='17525296438', job_id='49775781824', workflow_name='inductor-perf-nightly-h100', job_name='test-weekly / test (inductor_huggingface_perf_cuda_h100, 2, 5, linux.aws.h100)', usage_collect_interval=4.0, data_model_version=1.5, start_at=1757237044, gpu_count=1, cpu_count=192, gpu_type='pynvml', error=None) 2025-09-07T12:09:15.7675506Z [Db Segments] detected pytest cmd: 2, generated segments: 2 2025-09-07T12:09:15.7675997Z [db model] Peek db timeseries 2025-09-07T12:09:15.7676233Z :{ 2025-09-07T12:09:15.7676404Z "created_at": 1757246955, 2025-09-07T12:09:15.7676646Z "type": "utilization", 2025-09-07T12:09:15.7676868Z "tags": [ 2025-09-07T12:09:15.7677052Z "record" 2025-09-07T12:09:15.7677229Z ], 2025-09-07T12:09:15.7677407Z "time_stamp": 1757237044, 2025-09-07T12:09:15.7677646Z "repo": "pytorch/pytorch", 2025-09-07T12:09:15.7677880Z "workflow_id": 17525296438, 2025-09-07T12:09:15.7678115Z "run_attempt": 1, 2025-09-07T12:09:15.7678331Z "job_id": 49775781824, 2025-09-07T12:09:15.7678602Z "workflow_name": "inductor-perf-nightly-h100", 2025-09-07T12:09:15.7679080Z "job_name": "test-weekly / test (inductor_huggingface_perf_cuda_h100, 2, 5, linux.aws.h100)", 2025-09-07T12:09:15.7679519Z "json_data": "{}" 2025-09-07T12:09:15.7679718Z } 2025-09-07T12:09:15.7680160Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525296438/1/49775781824/metadata 2025-09-07T12:09:15.7681120Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525296438/1/49775781824/metadata 2025-09-07T12:09:15.7681963Z Writing 650 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525296438/1/49775781824/time_series 2025-09-07T12:09:15.7682826Z Done! 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Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T12:09:16.5121200Z Entering 'third_party/pocketfft' 2025-09-07T12:09:16.5171390Z Entering 'third_party/protobuf' 2025-09-07T12:09:16.5223747Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T12:09:16.5271653Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T12:09:16.5322967Z Entering 'third_party/psimd' 2025-09-07T12:09:16.5372770Z Entering 'third_party/pthreadpool' 2025-09-07T12:09:16.5423981Z Entering 'third_party/pybind11' 2025-09-07T12:09:16.5475520Z Entering 'third_party/python-peachpy' 2025-09-07T12:09:16.5524312Z Entering 'third_party/sleef' 2025-09-07T12:09:16.5573731Z Entering 'third_party/tensorpipe' 2025-09-07T12:09:16.5623867Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T12:09:16.5672058Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T12:09:16.5717693Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T12:09:16.5764217Z Entering 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'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T12:09:18.2798515Z http.https://github.com/.extraheader 2025-09-07T12:09:18.2835284Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T12:09:18.2862431Z http.https://github.com/.extraheader 2025-09-07T12:09:18.2898130Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T12:09:18.2925681Z http.https://github.com/.extraheader 2025-09-07T12:09:18.2965221Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T12:09:18.2992670Z http.https://github.com/.extraheader 2025-09-07T12:09:18.3029696Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T12:09:18.3056791Z http.https://github.com/.extraheader 2025-09-07T12:09:18.3092798Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T12:09:18.3119301Z http.https://github.com/.extraheader 2025-09-07T12:09:18.3156548Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T12:09:18.3183442Z http.https://github.com/.extraheader 2025-09-07T12:09:18.3222159Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T12:09:18.3250013Z http.https://github.com/.extraheader 2025-09-07T12:09:18.3285166Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T12:09:18.3312323Z http.https://github.com/.extraheader 2025-09-07T12:09:18.3350518Z Entering 'third_party/kleidiai' 2025-09-07T12:09:18.3381308Z http.https://github.com/.extraheader 2025-09-07T12:09:18.3419056Z Entering 'third_party/mimalloc' 2025-09-07T12:09:18.3447419Z http.https://github.com/.extraheader 2025-09-07T12:09:18.3484769Z Entering 'third_party/nlohmann' 2025-09-07T12:09:18.3513254Z http.https://github.com/.extraheader 2025-09-07T12:09:18.3552281Z Entering 'third_party/onnx' 2025-09-07T12:09:18.3581330Z http.https://github.com/.extraheader 2025-09-07T12:09:18.3634106Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T12:09:18.3662459Z http.https://github.com/.extraheader 2025-09-07T12:09:18.3704240Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T12:09:18.3732914Z http.https://github.com/.extraheader 2025-09-07T12:09:18.3768792Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T12:09:18.3796398Z http.https://github.com/.extraheader 2025-09-07T12:09:18.3833133Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T12:09:18.3859308Z http.https://github.com/.extraheader 2025-09-07T12:09:18.3896332Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T12:09:18.3923310Z http.https://github.com/.extraheader 2025-09-07T12:09:18.3959366Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T12:09:18.3986481Z http.https://github.com/.extraheader 2025-09-07T12:09:18.4023622Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T12:09:18.4050718Z http.https://github.com/.extraheader 2025-09-07T12:09:18.4086964Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T12:09:18.4113246Z http.https://github.com/.extraheader 2025-09-07T12:09:18.4148023Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T12:09:18.4175852Z http.https://github.com/.extraheader 2025-09-07T12:09:18.4210360Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T12:09:18.4236627Z http.https://github.com/.extraheader 2025-09-07T12:09:18.4276803Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T12:09:18.4304076Z http.https://github.com/.extraheader 2025-09-07T12:09:18.4342239Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T12:09:18.4368733Z http.https://github.com/.extraheader 2025-09-07T12:09:18.4425238Z Entering 'third_party/pocketfft' 2025-09-07T12:09:18.4454073Z http.https://github.com/.extraheader 2025-09-07T12:09:18.4489259Z Entering 'third_party/protobuf' 2025-09-07T12:09:18.4517967Z http.https://github.com/.extraheader 2025-09-07T12:09:18.4557098Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T12:09:18.4584184Z http.https://github.com/.extraheader 2025-09-07T12:09:18.4619979Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T12:09:18.4646560Z http.https://github.com/.extraheader 2025-09-07T12:09:18.4685749Z Entering 'third_party/psimd' 2025-09-07T12:09:18.4714294Z http.https://github.com/.extraheader 2025-09-07T12:09:18.4751985Z Entering 'third_party/pthreadpool' 2025-09-07T12:09:18.4780563Z http.https://github.com/.extraheader 2025-09-07T12:09:18.4816872Z Entering 'third_party/pybind11' 2025-09-07T12:09:18.4845260Z http.https://github.com/.extraheader 2025-09-07T12:09:18.4882089Z Entering 'third_party/python-peachpy' 2025-09-07T12:09:18.4909730Z http.https://github.com/.extraheader 2025-09-07T12:09:18.4946969Z Entering 'third_party/sleef' 2025-09-07T12:09:18.4975277Z http.https://github.com/.extraheader 2025-09-07T12:09:18.5013754Z Entering 'third_party/tensorpipe' 2025-09-07T12:09:18.5042711Z http.https://github.com/.extraheader 2025-09-07T12:09:18.5078682Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T12:09:18.5105819Z http.https://github.com/.extraheader 2025-09-07T12:09:18.5141411Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T12:09:18.5168171Z http.https://github.com/.extraheader 2025-09-07T12:09:18.5203188Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T12:09:18.5230071Z http.https://github.com/.extraheader 2025-09-07T12:09:18.5266873Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T12:09:18.5295545Z http.https://github.com/.extraheader 2025-09-07T12:09:18.5330798Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T12:09:18.5357394Z http.https://github.com/.extraheader 2025-09-07T12:09:18.5541949Z Post job cleanup. 2025-09-07T12:09:18.6460848Z [command]/usr/bin/git version 2025-09-07T12:09:18.6497921Z git version 2.50.1 2025-09-07T12:09:18.6537512Z Temporarily overriding HOME='/home/eve/_work/_temp/ce06fc66-eedd-40f9-90f9-17b4a35ed2b6' before making global git config changes 2025-09-07T12:09:18.6538231Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T12:09:18.6542260Z [command]/usr/bin/git config --global --add safe.directory /home/eve/_work/pytorch/pytorch 2025-09-07T12:09:18.6586219Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T12:09:18.6623023Z [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' || :" 2025-09-07T12:09:18.6902819Z Entering 'android/libs/fbjni' 2025-09-07T12:09:18.6954961Z Entering 'third_party/FP16' 2025-09-07T12:09:18.7005319Z Entering 'third_party/FXdiv' 2025-09-07T12:09:18.7054596Z Entering 'third_party/NNPACK' 2025-09-07T12:09:18.7103681Z Entering 'third_party/NVTX' 2025-09-07T12:09:18.7153278Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T12:09:18.7202474Z Entering 'third_party/XNNPACK' 2025-09-07T12:09:18.7266922Z Entering 'third_party/aiter' 2025-09-07T12:09:18.7316699Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T12:09:18.7374585Z Entering 'third_party/benchmark' 2025-09-07T12:09:18.7426450Z Entering 'third_party/composable_kernel' 2025-09-07T12:09:18.7484461Z Entering 'third_party/cpp-httplib' 2025-09-07T12:09:18.7535913Z Entering 'third_party/cpuinfo' 2025-09-07T12:09:18.7587399Z Entering 'third_party/cudnn_frontend' 2025-09-07T12:09:18.7639578Z Entering 'third_party/cutlass' 2025-09-07T12:09:18.7697678Z Entering 'third_party/fbgemm' 2025-09-07T12:09:18.7750518Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T12:09:18.7799576Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T12:09:18.7855677Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T12:09:18.7906378Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T12:09:18.7964636Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T12:09:18.8013192Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T12:09:18.8061700Z Entering 'third_party/fbgemm/external/json' 2025-09-07T12:09:18.8113473Z Entering 'third_party/flash-attention' 2025-09-07T12:09:18.8164915Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T12:09:18.8218963Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T12:09:18.8275877Z Entering 'third_party/flatbuffers' 2025-09-07T12:09:18.8328807Z Entering 'third_party/fmt' 2025-09-07T12:09:18.8378340Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T12:09:18.8427999Z Entering 'third_party/gloo' 2025-09-07T12:09:18.8477141Z Entering 'third_party/googletest' 2025-09-07T12:09:18.8527088Z Entering 'third_party/ideep' 2025-09-07T12:09:18.8575525Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T12:09:18.8633047Z Entering 'third_party/ittapi' 2025-09-07T12:09:18.8683305Z Entering 'third_party/kineto' 2025-09-07T12:09:18.8733548Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T12:09:18.8781516Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T12:09:18.8831147Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T12:09:18.8878296Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T12:09:18.8926962Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T12:09:18.8973190Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T12:09:18.9025211Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T12:09:18.9073317Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T12:09:18.9121540Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T12:09:18.9169130Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T12:09:18.9220945Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T12:09:18.9269978Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T12:09:18.9320187Z Entering 'third_party/kleidiai' 2025-09-07T12:09:18.9370738Z Entering 'third_party/mimalloc' 2025-09-07T12:09:18.9422223Z Entering 'third_party/nlohmann' 2025-09-07T12:09:18.9474347Z Entering 'third_party/onnx' 2025-09-07T12:09:18.9539574Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T12:09:18.9592843Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T12:09:18.9644034Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T12:09:18.9691963Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T12:09:18.9739597Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T12:09:18.9787464Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T12:09:18.9836621Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T12:09:18.9885194Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T12:09:18.9932861Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T12:09:18.9980562Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T12:09:19.0028288Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T12:09:19.0078862Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T12:09:19.0147593Z Entering 'third_party/pocketfft' 2025-09-07T12:09:19.0197870Z Entering 'third_party/protobuf' 2025-09-07T12:09:19.0250322Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T12:09:19.0298339Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T12:09:19.0348033Z Entering 'third_party/psimd' 2025-09-07T12:09:19.0397930Z Entering 'third_party/pthreadpool' 2025-09-07T12:09:19.0449538Z Entering 'third_party/pybind11' 2025-09-07T12:09:19.0499688Z Entering 'third_party/python-peachpy' 2025-09-07T12:09:19.0549621Z Entering 'third_party/sleef' 2025-09-07T12:09:19.0599010Z Entering 'third_party/tensorpipe' 2025-09-07T12:09:19.0646653Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T12:09:19.0694436Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T12:09:19.0741828Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T12:09:19.0789667Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T12:09:19.0836004Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T12:09:19.0909314Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T12:09:19.0941887Z [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' || :" 2025-09-07T12:09:19.1208701Z Entering 'android/libs/fbjni' 2025-09-07T12:09:19.1259450Z Entering 'third_party/FP16' 2025-09-07T12:09:19.1309015Z Entering 'third_party/FXdiv' 2025-09-07T12:09:19.1357531Z Entering 'third_party/NNPACK' 2025-09-07T12:09:19.1406986Z Entering 'third_party/NVTX' 2025-09-07T12:09:19.1456587Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T12:09:19.1505638Z Entering 'third_party/XNNPACK' 2025-09-07T12:09:19.1569957Z Entering 'third_party/aiter' 2025-09-07T12:09:19.1621371Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T12:09:19.1678494Z Entering 'third_party/benchmark' 2025-09-07T12:09:19.1729116Z Entering 'third_party/composable_kernel' 2025-09-07T12:09:19.1787227Z Entering 'third_party/cpp-httplib' 2025-09-07T12:09:19.1837287Z Entering 'third_party/cpuinfo' 2025-09-07T12:09:19.1889041Z Entering 'third_party/cudnn_frontend' 2025-09-07T12:09:19.1939362Z Entering 'third_party/cutlass' 2025-09-07T12:09:19.1998368Z Entering 'third_party/fbgemm' 2025-09-07T12:09:19.2051083Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T12:09:19.2099171Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T12:09:19.2153208Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T12:09:19.2201860Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T12:09:19.2256952Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T12:09:19.2304521Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T12:09:19.2351463Z Entering 'third_party/fbgemm/external/json' 2025-09-07T12:09:19.2402620Z Entering 'third_party/flash-attention' 2025-09-07T12:09:19.2453735Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T12:09:19.2506858Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T12:09:19.2563964Z Entering 'third_party/flatbuffers' 2025-09-07T12:09:19.2616275Z Entering 'third_party/fmt' 2025-09-07T12:09:19.2667155Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T12:09:19.2717486Z Entering 'third_party/gloo' 2025-09-07T12:09:19.2768198Z Entering 'third_party/googletest' 2025-09-07T12:09:19.2819020Z Entering 'third_party/ideep' 2025-09-07T12:09:19.2867659Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T12:09:19.2923572Z Entering 'third_party/ittapi' 2025-09-07T12:09:19.2973357Z Entering 'third_party/kineto' 2025-09-07T12:09:19.3023659Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T12:09:19.3071456Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T12:09:19.3122237Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T12:09:19.3170889Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T12:09:19.3218359Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T12:09:19.3265187Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T12:09:19.3316784Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T12:09:19.3364941Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T12:09:19.3413856Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T12:09:19.3463259Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T12:09:19.3514102Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T12:09:19.3561598Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T12:09:19.3611358Z Entering 'third_party/kleidiai' 2025-09-07T12:09:19.3662955Z Entering 'third_party/mimalloc' 2025-09-07T12:09:19.3713749Z Entering 'third_party/nlohmann' 2025-09-07T12:09:19.3765550Z Entering 'third_party/onnx' 2025-09-07T12:09:19.3831203Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T12:09:19.3885060Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T12:09:19.3936173Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T12:09:19.3984471Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T12:09:19.4031872Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T12:09:19.4079331Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T12:09:19.4128675Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 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