2025-09-07T09:44:05.6804480Z Current runner version: '2.328.0' 2025-09-07T09:44:05.6810165Z Runner name: 'i-0d3ed1ff3ccbeec77-1003' 2025-09-07T09:44:05.6811018Z Runner group name: 'default' 2025-09-07T09:44:05.6811782Z Machine name: '89c80c18edd5' 2025-09-07T09:44:05.6814224Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T09:44:05.6816389Z Contents: read 2025-09-07T09:44:05.6816911Z Metadata: read 2025-09-07T09:44:05.6817531Z ##[endgroup] 2025-09-07T09:44:05.6819516Z Secret source: Actions 2025-09-07T09:44:05.6820242Z Prepare workflow directory 2025-09-07T09:44:05.7290827Z Prepare all required actions 2025-09-07T09:44:05.7325797Z Getting action download info 2025-09-07T09:44:06.0525679Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T09:44:06.5808381Z Download action repository 'pytorch/pytorch@main' (SHA:7a83cf430e97d83d6fb14880b9049e77ff725685) 2025-09-07T09:44:14.6413990Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T09:44:14.8505779Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T09:44:15.0042610Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T09:44:15.1921187Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T09:44:15.4069123Z Getting action download info 2025-09-07T09:44:15.5402465Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T09:44:15.7206288Z Getting action download info 2025-09-07T09:44:15.8354920Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T09:44:16.0123641Z Getting action download info 2025-09-07T09:44:16.1196459Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T09:44:16.2808649Z Getting action download info 2025-09-07T09:44:16.4171758Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T09:44:16.4175815Z ##[group] Inputs 2025-09-07T09:44:16.4176155Z build-environment: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:44:16.4181421Z 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"}]} 2025-09-07T09:44:16.4186939Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:44:16.4187789Z sync-tag: 2025-09-07T09:44:16.4188503Z timeout-minutes: 1440 2025-09-07T09:44:16.4188719Z use-gha: 2025-09-07T09:44:16.4189581Z 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 2025-09-07T09:44:16.4190512Z s3-bucket: gha-artifacts 2025-09-07T09:44:16.4190719Z aws-role-to-assume: 2025-09-07T09:44:16.4191230Z disable-monitor: false 2025-09-07T09:44:16.4191467Z monitor-log-interval: 15 2025-09-07T09:44:16.4191692Z monitor-data-collect-interval: 4 2025-09-07T09:44:16.4191935Z ##[endgroup] 2025-09-07T09:44:16.4192270Z Complete job name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 5, 5, linux.aws.h100) 2025-09-07T09:44:16.4656967Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T09:44:16.4657835Z with: 2025-09-07T09:44:16.4658323Z github-secret: *** 2025-09-07T09:44:16.4658880Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T09:44:16.4659451Z activate-with-label: false 2025-09-07T09:44:16.4659657Z label: with-ssh 2025-09-07T09:44:16.4659840Z remove-existing-keys: true 2025-09-07T09:44:16.4660042Z fail-silently: true 2025-09-07T09:44:16.4660447Z env: 2025-09-07T09:44:16.4660625Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:44:16.4660818Z ##[endgroup] 2025-09-07T09:44:16.5748660Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T09:44:16.5749902Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T09:44:16.5930443Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T09:44:16.5930798Z with: 2025-09-07T09:44:16.5930962Z no-sudo: true 2025-09-07T09:44:16.5931135Z submodules: recursive 2025-09-07T09:44:16.5931374Z fetch-depth: 0 2025-09-07T09:44:16.5931540Z env: 2025-09-07T09:44:16.5931701Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:44:16.5931900Z ##[endgroup] 2025-09-07T09:44:16.6004769Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:44:16.6005510Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:44:16.6027889Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:44:16.6028204Z env: 2025-09-07T09:44:16.6028374Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:44:16.6028575Z ##[endgroup] 2025-09-07T09:44:16.6187234Z ##[group]Run actions/checkout@v4 2025-09-07T09:44:16.6187647Z with: 2025-09-07T09:44:16.6187834Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:44:16.6188080Z fetch-depth: 0 2025-09-07T09:44:16.6188252Z submodules: recursive 2025-09-07T09:44:16.6188436Z show-progress: false 2025-09-07T09:44:16.6188628Z repository: pytorch/pytorch 2025-09-07T09:44:16.6189182Z token: *** 2025-09-07T09:44:16.6189369Z ssh-strict: true 2025-09-07T09:44:16.6189545Z ssh-user: git 2025-09-07T09:44:16.6189722Z persist-credentials: true 2025-09-07T09:44:16.6189918Z clean: true 2025-09-07T09:44:16.6190096Z sparse-checkout-cone-mode: true 2025-09-07T09:44:16.6190321Z fetch-tags: false 2025-09-07T09:44:16.6190483Z lfs: false 2025-09-07T09:44:16.6190661Z set-safe-directory: true 2025-09-07T09:44:16.6190848Z env: 2025-09-07T09:44:16.6191002Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:44:16.6191182Z ##[endgroup] 2025-09-07T09:44:16.7146206Z Syncing repository: pytorch/pytorch 2025-09-07T09:44:16.7147577Z ##[group]Getting Git version info 2025-09-07T09:44:16.7147956Z Working directory is '/home/charlie/_work/pytorch/pytorch' 2025-09-07T09:44:16.7148480Z [command]/usr/bin/git version 2025-09-07T09:44:16.7149145Z git version 2.51.0 2025-09-07T09:44:16.7172425Z ##[endgroup] 2025-09-07T09:44:16.7183795Z Temporarily overriding HOME='/home/charlie/_work/_temp/ee58e215-00c2-4b9c-b52e-52ce88e6661a' before making global git config changes 2025-09-07T09:44:16.7184913Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T09:44:16.7196061Z [command]/usr/bin/git config --global --add safe.directory /home/charlie/_work/pytorch/pytorch 2025-09-07T09:44:16.7227828Z Deleting the contents of '/home/charlie/_work/pytorch/pytorch' 2025-09-07T09:44:16.7230951Z ##[group]Initializing the repository 2025-09-07T09:44:16.7233828Z [command]/usr/bin/git init /home/charlie/_work/pytorch/pytorch 2025-09-07T09:44:16.7286240Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T09:44:16.7287005Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T09:44:16.7287862Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T09:44:16.7288348Z hint: 2025-09-07T09:44:16.7288716Z hint: git config --global init.defaultBranch 2025-09-07T09:44:16.7289135Z hint: 2025-09-07T09:44:16.7289555Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T09:44:16.7290248Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T09:44:16.7290753Z hint: 2025-09-07T09:44:16.7291013Z hint: git branch -m 2025-09-07T09:44:16.7291308Z hint: 2025-09-07T09:44:16.7291761Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-09-07T09:44:16.7292540Z Initialized empty Git repository in /home/charlie/_work/pytorch/pytorch/.git/ 2025-09-07T09:44:16.7297058Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T09:44:16.7338863Z ##[endgroup] 2025-09-07T09:44:16.7339449Z ##[group]Disabling automatic garbage collection 2025-09-07T09:44:16.7341175Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T09:44:16.7371150Z ##[endgroup] 2025-09-07T09:44:16.7371636Z ##[group]Setting up auth 2025-09-07T09:44:16.7376579Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T09:44:16.7404563Z [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' || :" 2025-09-07T09:44:16.7651443Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T09:44:16.7681122Z [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' || :" 2025-09-07T09:44:16.7919094Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T09:44:16.7956011Z ##[endgroup] 2025-09-07T09:44:16.7956458Z ##[group]Fetching the repository 2025-09-07T09:44:16.7963155Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T09:45:00.5320174Z From https://github.com/pytorch/pytorch 2025-09-07T09:45:00.5320697Z * [new branch] 160583 -> origin/160583 2025-09-07T09:45:00.5321149Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T09:45:00.5322003Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T09:45:00.5322679Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T09:45:00.5325306Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T09:45:00.5325891Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T09:45:00.5326508Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T09:45:00.5327131Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T09:45:00.5327936Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T09:45:00.5328512Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T09:45:00.5329910Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T09:45:00.5330522Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T09:45:00.5331062Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T09:45:00.5331651Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T09:45:00.5332194Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T09:45:00.5332748Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T09:45:00.5333506Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T09:45:00.5334164Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T09:45:00.5334733Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T09:45:00.5335403Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T09:45:00.5335951Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T09:45:00.5336468Z * [new branch] addsimde -> origin/addsimde 2025-09-07T09:45:00.5337623Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T09:45:00.5338156Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T09:45:00.5338619Z * [new branch] adi/test -> origin/adi/test 2025-09-07T09:45:00.5339086Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T09:45:00.5339588Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T09:45:00.5340079Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T09:45:00.5340629Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T09:45:00.5341108Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T09:45:00.5341535Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T09:45:00.5341981Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T09:45:00.5342435Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T09:45:00.5342860Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T09:45:00.5343317Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T09:45:00.5344037Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T09:45:00.5344492Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T09:45:00.5344916Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T09:45:00.5345431Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T09:45:00.5345958Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T09:45:00.5346416Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T09:45:00.5346861Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T09:45:00.5347445Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T09:45:00.5347925Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T09:45:00.5348356Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T09:45:00.5348870Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T09:45:00.5349316Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T09:45:00.5349736Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T09:45:00.5350139Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T09:45:00.5350515Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T09:45:00.5350898Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T09:45:00.5351273Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-09-07T09:45:00.5351650Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-09-07T09:45:00.5352025Z * [new branch] aoti-cuda-alloc -> origin/aoti-cuda-alloc 2025-09-07T09:45:00.5352396Z * [new branch] aoti_target_windows -> origin/aoti_target_windows 2025-09-07T09:45:00.5352754Z * [new branch] aoti_weight_sharing -> origin/aoti_weight_sharing 2025-09-07T09:45:00.5353189Z * [new branch] atalman-inductor-perf-cu124 -> origin/atalman-inductor-perf-cu124 2025-09-07T09:45:00.5353829Z * [new branch] atalman-inductor-perf-cu124.1 -> origin/atalman-inductor-perf-cu124.1 2025-09-07T09:45:00.5354296Z * [new branch] atalman-patch-1 -> origin/atalman-patch-1 2025-09-07T09:45:00.5354671Z * [new branch] atalman-patch-3 -> origin/atalman-patch-3 2025-09-07T09:45:00.5355030Z * [new branch] atalman-patch-4 -> origin/atalman-patch-4 2025-09-07T09:45:00.5355387Z * [new branch] atalman-patch-5 -> origin/atalman-patch-5 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2025-09-07T09:45:00.6616131Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T09:45:00.6616481Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T09:45:00.6616605Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T09:45:00.6616852Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T09:45:00.6616991Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T09:45:00.6617130Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T09:45:00.6617389Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T09:45:00.6617543Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T09:45:00.6617682Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T09:45:00.6617812Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T09:45:00.6617947Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T09:45:00.6618076Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T09:45:00.6618214Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T09:45:00.6618391Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T09:45:00.6618560Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T09:45:00.6618869Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T09:45:00.6619020Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T09:45:00.6619175Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T09:45:00.6619324Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T09:45:00.6619472Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T09:45:00.6619638Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T09:45:00.6619789Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T09:45:00.6619963Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T09:45:00.6620108Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T09:45:00.6620260Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T09:45:00.6620402Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T09:45:00.6620544Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T09:45:00.6620691Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T09:45:00.6620831Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T09:45:00.6620981Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T09:45:00.6621123Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T09:45:00.6621275Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T09:45:00.6621425Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T09:45:00.6621570Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T09:45:00.6621715Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T09:45:00.6621840Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T09:45:00.6621963Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T09:45:00.6622079Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T09:45:00.6622316Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T09:45:00.6622439Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T09:45:00.6622727Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T09:45:00.6622980Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T09:45:00.6623168Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T09:45:00.6623347Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T09:45:00.6623522Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T09:45:00.6623672Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T09:45:00.6623829Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T09:45:00.6623975Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T09:45:00.6624124Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T09:45:00.6624271Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T09:45:00.6624510Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T09:45:00.6624644Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T09:45:00.6624775Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T09:45:00.6624910Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T09:45:00.6625039Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T09:45:00.6625178Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T09:45:00.6625307Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T09:45:00.6625434Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T09:45:00.6625564Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T09:45:00.6625695Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T09:45:00.6625828Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T09:45:00.6625955Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T09:45:00.6626086Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T09:45:00.6626213Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T09:45:00.6626347Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T09:45:00.6626480Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T09:45:00.6626610Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T09:45:00.6626747Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T09:45:00.6626882Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T09:45:00.6627013Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T09:45:00.6627146Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T09:45:00.6627423Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T09:45:00.6627565Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T09:45:00.6627851Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T09:45:00.6627994Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T09:45:00.6628123Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T09:45:00.6628254Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T09:45:00.6628397Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T09:45:00.6628527Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T09:45:00.6628663Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T09:45:00.6628793Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T09:45:00.6628921Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T09:45:00.6629059Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T09:45:00.6629188Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T09:45:00.6629330Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T09:45:00.6629461Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T09:45:00.6629718Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T09:45:00.6629849Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T09:45:00.6629977Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T09:45:00.6630112Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-09-07T09:45:00.6630241Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T09:45:00.6630376Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T09:45:00.6630525Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T09:45:00.6630656Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T09:45:00.6630790Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T09:45:00.6630929Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T09:45:00.6631069Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T09:45:00.6631199Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T09:45:00.6631325Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T09:45:00.6631454Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T09:45:00.6631583Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T09:45:00.6631718Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T09:45:00.6631846Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T09:45:00.6631975Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T09:45:00.6632105Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T09:45:00.6632236Z * [new tag] ciflow/inductor/160928 -> ciflow/inductor/160928 2025-09-07T09:45:00.6632371Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T09:45:00.6632498Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T09:45:00.6632628Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T09:45:00.6632755Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T09:45:00.6632974Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T09:45:00.6633108Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T09:45:00.6633236Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T09:45:00.6633366Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T09:45:00.6633499Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T09:45:00.6633629Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T09:45:00.6633757Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T09:45:00.6633885Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T09:45:00.6634016Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T09:45:00.6634152Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T09:45:00.6634284Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T09:45:00.6634410Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T09:45:00.6634535Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T09:45:00.6634756Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T09:45:00.6634885Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T09:45:00.6635013Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T09:45:00.6635141Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T09:45:00.6635273Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T09:45:00.6635403Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T09:45:00.6635532Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T09:45:00.6635661Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T09:45:00.6635790Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T09:45:00.6635926Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T09:45:00.6636052Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T09:45:00.6636179Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T09:45:00.6636313Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T09:45:00.6636441Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T09:45:00.6636574Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T09:45:00.6636701Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T09:45:00.6636833Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T09:45:00.6636961Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T09:45:00.6637091Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T09:45:00.6637225Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T09:45:00.6637489Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T09:45:00.6637626Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T09:45:00.6637752Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T09:45:00.6638011Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T09:45:00.6638148Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T09:45:00.6638276Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T09:45:00.6638407Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T09:45:00.6638541Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T09:45:00.6638672Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T09:45:00.6638800Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T09:45:00.6638929Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T09:45:00.6639061Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T09:45:00.6639189Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T09:45:00.6639325Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T09:45:00.6639453Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T09:45:00.6639580Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T09:45:00.6639835Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T09:45:00.6639965Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T09:45:00.6640096Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T09:45:00.6640223Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T09:45:00.6640363Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T09:45:00.6640501Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T09:45:00.6640632Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T09:45:00.6640765Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T09:45:00.6640892Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T09:45:00.6641027Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T09:45:00.6641165Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T09:45:00.6641292Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T09:45:00.6641424Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T09:45:00.6641557Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T09:45:00.6641690Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T09:45:00.6641821Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T09:45:00.6641956Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T09:45:00.6642085Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T09:45:00.6642215Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T09:45:00.6642354Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T09:45:00.6642483Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T09:45:00.6642617Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T09:45:00.6642747Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T09:45:00.6642877Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T09:45:00.6643109Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T09:45:00.6643247Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T09:45:00.6643380Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T09:45:00.6643509Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T09:45:00.6643645Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T09:45:00.6643774Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T09:45:00.6643905Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T09:45:00.6644040Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T09:45:00.6644167Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T09:45:00.6644303Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T09:45:00.6644432Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T09:45:00.6644561Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T09:45:00.6644693Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T09:45:00.6644917Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T09:45:00.6645050Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T09:45:00.6645179Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T09:45:00.6645310Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T09:45:00.6645439Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T09:45:00.6645571Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T09:45:00.6645702Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T09:45:00.6645830Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T09:45:00.6645963Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T09:45:00.6646096Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T09:45:00.6646229Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T09:45:00.6646358Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T09:45:00.6646489Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T09:45:00.6646622Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T09:45:00.6646750Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T09:45:00.6646881Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T09:45:00.6647008Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T09:45:00.6647135Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T09:45:00.6647401Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T09:45:00.6647539Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T09:45:00.6647674Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T09:45:00.6647800Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T09:45:00.6647933Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T09:45:00.6648061Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T09:45:00.6648372Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T09:45:00.6648517Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T09:45:00.6648647Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T09:45:00.6648784Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T09:45:00.6648913Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T09:45:00.6649043Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T09:45:00.6649176Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T09:45:00.6649303Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T09:45:00.6649434Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T09:45:00.6649566Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T09:45:00.6649697Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T09:45:00.6649824Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T09:45:00.6649952Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T09:45:00.6650213Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T09:45:00.6650341Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T09:45:00.6650473Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T09:45:00.6650609Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T09:45:00.6650737Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T09:45:00.6650873Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T09:45:00.6651029Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T09:45:00.6651174Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T09:45:00.6651309Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T09:45:00.6651469Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T09:45:00.6651617Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T09:45:00.6651759Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T09:45:00.6651890Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T09:45:00.6652009Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T09:45:00.6652131Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T09:45:00.6652245Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T09:45:00.6652359Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T09:45:00.6652475Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T09:45:00.6652611Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T09:45:00.6652743Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T09:45:00.6652895Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T09:45:00.6653097Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T09:45:00.6653282Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T09:45:00.6653518Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T09:45:00.6653666Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T09:45:00.6653802Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T09:45:00.6653937Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T09:45:00.6654083Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T09:45:00.6654222Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T09:45:00.6654361Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T09:45:00.6654489Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T09:45:00.6654626Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T09:45:00.6654849Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T09:45:00.6655033Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T09:45:00.6655198Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T09:45:00.6655356Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T09:45:00.6655618Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T09:45:00.6655791Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T09:45:00.6655956Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T09:45:00.6656100Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T09:45:00.6656237Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T09:45:00.6656373Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T09:45:00.6656502Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T09:45:00.6656637Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T09:45:00.6656766Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T09:45:00.6656905Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T09:45:00.6657035Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T09:45:00.6657164Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T09:45:00.6657436Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T09:45:00.6657573Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T09:45:00.6657708Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T09:45:00.6657839Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T09:45:00.6657975Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T09:45:00.6658096Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T09:45:00.6658218Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T09:45:00.6658340Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T09:45:00.6658456Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T09:45:00.6658574Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T09:45:00.6658688Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T09:45:00.6658933Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T09:45:00.6659060Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T09:45:00.6659178Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T09:45:00.6659305Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T09:45:00.6659426Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T09:45:00.6659553Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T09:45:00.6659667Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T09:45:00.6659782Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T09:45:00.6659900Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T09:45:00.6660013Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T09:45:00.6660144Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T09:45:00.6660265Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T09:45:00.6660630Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T09:45:00.6660876Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T09:45:00.6660995Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T09:45:00.6661116Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T09:45:00.6661234Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T09:45:00.6661357Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T09:45:00.6661479Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T09:45:00.6661600Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T09:45:00.6661735Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T09:45:00.6661855Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T09:45:00.6661983Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T09:45:00.6662311Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T09:45:00.6662429Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T09:45:00.6662552Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T09:45:00.6662670Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T09:45:00.6662794Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T09:45:00.6662914Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T09:45:00.6663259Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T09:45:00.6663426Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T09:45:00.6663545Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T09:45:00.6663667Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T09:45:00.6663782Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T09:45:00.6663904Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T09:45:00.6664021Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T09:45:00.6664236Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T09:45:00.6664355Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T09:45:00.6664471Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T09:45:00.6664603Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T09:45:00.6664728Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T09:45:00.6664850Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T09:45:00.6664967Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T09:45:00.6665082Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T09:45:00.6665206Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T09:45:00.6665327Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T09:45:00.6665448Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T09:45:00.6665565Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T09:45:00.6665682Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T09:45:00.6665915Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T09:45:00.6666033Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T09:45:00.6666152Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T09:45:00.6666268Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T09:45:00.6666388Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T09:45:00.6666503Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T09:45:00.6666640Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T09:45:00.6666761Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T09:45:00.6666877Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T09:45:00.6666997Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T09:45:00.6667120Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T09:45:00.6667237Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T09:45:00.6667488Z * [new tag] ciflow/trunk/160483 -> ciflow/trunk/160483 2025-09-07T09:45:00.6667608Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T09:45:00.6667741Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T09:45:00.6667864Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T09:45:00.6667988Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T09:45:00.6668104Z * [new tag] ciflow/trunk/160928 -> ciflow/trunk/160928 2025-09-07T09:45:00.6668222Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T09:45:00.6668350Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T09:45:00.6668467Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T09:45:00.6668588Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T09:45:00.6668704Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T09:45:00.6668820Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T09:45:00.6669076Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T09:45:00.6669203Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T09:45:00.6669335Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T09:45:00.6669454Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T09:45:00.6669578Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T09:45:00.6669694Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T09:45:00.6669811Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T09:45:00.6669931Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T09:45:00.6670047Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T09:45:00.6670167Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T09:45:00.6670289Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T09:45:00.6670410Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T09:45:00.6670529Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T09:45:00.6670645Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T09:45:00.6670897Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T09:45:00.6671014Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T09:45:00.6671134Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T09:45:00.6671253Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T09:45:00.6671370Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T09:45:00.6671495Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T09:45:00.6671613Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T09:45:00.6671733Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T09:45:00.6671865Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T09:45:00.6671989Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T09:45:00.6672110Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T09:45:00.6672228Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T09:45:00.6672349Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T09:45:00.6672468Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T09:45:00.6672588Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T09:45:00.6672708Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T09:45:00.6672828Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T09:45:00.6672948Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T09:45:00.6673066Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T09:45:00.6673187Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T09:45:00.6673304Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T09:45:00.6673418Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T09:45:00.6673556Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T09:45:00.6673679Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T09:45:00.6673897Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T09:45:00.6674018Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T09:45:00.6674138Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T09:45:00.6674257Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T09:45:00.6674377Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T09:45:00.6674501Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T09:45:00.6674618Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T09:45:00.6674738Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T09:45:00.6674857Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T09:45:00.6674979Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T09:45:00.6675100Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T09:45:00.6675214Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T09:45:00.6675333Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T09:45:00.6675549Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T09:45:00.6675666Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T09:45:00.6675788Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T09:45:00.6675904Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T09:45:00.6676028Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T09:45:00.6676145Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T09:45:00.6676269Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T09:45:00.6676387Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T09:45:00.6676504Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T09:45:00.6676627Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T09:45:00.6676748Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T09:45:00.6676868Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T09:45:00.6676998Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T09:45:00.6677118Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T09:45:00.6677240Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T09:45:00.6677493Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T09:45:00.6677617Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T09:45:00.6677738Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T09:45:00.6677856Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T09:45:00.6677983Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T09:45:00.6678099Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T09:45:00.6678228Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T09:45:00.6678354Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T09:45:00.6678478Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T09:45:00.6678744Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T09:45:00.6678876Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T09:45:00.6679001Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T09:45:00.6679117Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T09:45:00.6679238Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T09:45:00.6679356Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T09:45:00.6679468Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T09:45:00.6679600Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T09:45:00.6679714Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T09:45:00.6679832Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T09:45:00.6679950Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T09:45:00.6680066Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T09:45:00.6680180Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T09:45:00.6680293Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T09:45:00.6680537Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T09:45:00.6680651Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T09:45:00.6680769Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T09:45:00.6680882Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T09:45:00.6680993Z * [new tag] cslpull75 -> cslpull75 2025-09-07T09:45:00.6681104Z * [new tag] cslpull76 -> cslpull76 2025-09-07T09:45:00.6681209Z * [new tag] cslpull77 -> cslpull77 2025-09-07T09:45:00.6681314Z * [new tag] cslpull78 -> cslpull78 2025-09-07T09:45:00.6681417Z * [new tag] cslpull79 -> cslpull79 2025-09-07T09:45:00.6681522Z * [new tag] cslpull80 -> cslpull80 2025-09-07T09:45:00.6681629Z * [new tag] cslpull81 -> cslpull81 2025-09-07T09:45:00.6681730Z * [new tag] cslpull82 -> cslpull82 2025-09-07T09:45:00.6681834Z * [new tag] cslpull83 -> cslpull83 2025-09-07T09:45:00.6681936Z * [new tag] cslpull84 -> cslpull84 2025-09-07T09:45:00.6682057Z * [new tag] cslpull85 -> cslpull85 2025-09-07T09:45:00.6682162Z * [new tag] cslpull86 -> cslpull86 2025-09-07T09:45:00.6682267Z * [new tag] cslpull87 -> cslpull87 2025-09-07T09:45:00.6682371Z * [new tag] cslpull88 -> cslpull88 2025-09-07T09:45:00.6682473Z * [new tag] cslpull89 -> cslpull89 2025-09-07T09:45:00.6682578Z * [new tag] cslpull90 -> cslpull90 2025-09-07T09:45:00.6682686Z * [new tag] cslpull91 -> cslpull91 2025-09-07T09:45:00.6682787Z * [new tag] cslpull92 -> cslpull92 2025-09-07T09:45:00.6682899Z * [new tag] flight_5 -> flight_5 2025-09-07T09:45:00.6683007Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T09:45:00.6683113Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T09:45:00.6683214Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T09:45:00.6683426Z * [new tag] forpull1 -> forpull1 2025-09-07T09:45:00.6683562Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T09:45:00.6683684Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T09:45:00.6683809Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T09:45:00.6683938Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T09:45:00.6684071Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T09:45:00.6684193Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T09:45:00.6684456Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T09:45:00.6684729Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T09:45:00.6685010Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T09:45:00.6685291Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T09:45:00.6685547Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T09:45:00.6685926Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T09:45:00.6686176Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T09:45:00.6686437Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T09:45:00.6686703Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T09:45:00.6686963Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T09:45:00.6687228Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T09:45:00.6687631Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T09:45:00.6687907Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T09:45:00.6688171Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T09:45:00.6688438Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T09:45:00.6688708Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T09:45:00.6688975Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T09:45:00.6689237Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T09:45:00.6689501Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T09:45:00.6689774Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T09:45:00.6690032Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T09:45:00.6690288Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T09:45:00.6690688Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T09:45:00.6690973Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T09:45:00.6691249Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T09:45:00.6691523Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T09:45:00.6691787Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T09:45:00.6692048Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T09:45:00.6692312Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T09:45:00.6692580Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T09:45:00.6692843Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T09:45:00.6693231Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T09:45:00.6693493Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T09:45:00.6693764Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T09:45:00.6694044Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T09:45:00.6694306Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T09:45:00.6694567Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T09:45:00.6694883Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T09:45:00.6695152Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T09:45:00.6695416Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T09:45:00.6695680Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T09:45:00.6695946Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T09:45:00.6696211Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T09:45:00.6696471Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T09:45:00.6696724Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T09:45:00.6696982Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T09:45:00.6697245Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T09:45:00.6697628Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T09:45:00.6698019Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T09:45:00.6698290Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T09:45:00.6698550Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T09:45:00.6698810Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T09:45:00.6699093Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T09:45:00.6699354Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T09:45:00.6699633Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T09:45:00.6699898Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T09:45:00.6700163Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T09:45:00.6700421Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T09:45:00.6700803Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T09:45:00.6701065Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T09:45:00.6701331Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T09:45:00.6701603Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T09:45:00.6701861Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T09:45:00.6702122Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T09:45:00.6702390Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T09:45:00.6702661Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T09:45:00.6702925Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T09:45:00.6703196Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T09:45:00.6703464Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T09:45:00.6703721Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T09:45:00.6703983Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T09:45:00.6704245Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T09:45:00.6704504Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T09:45:00.6704755Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T09:45:00.6705023Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T09:45:00.6705376Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T09:45:00.6705652Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T09:45:00.6705919Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T09:45:00.6706200Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T09:45:00.6706479Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T09:45:00.6706739Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T09:45:00.6707010Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T09:45:00.6707401Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T09:45:00.6707677Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T09:45:00.6708109Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T09:45:00.6708362Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T09:45:00.6708632Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T09:45:00.6708885Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T09:45:00.6709157Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T09:45:00.6709430Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T09:45:00.6709701Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T09:45:00.6709961Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T09:45:00.6710217Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T09:45:00.6710476Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T09:45:00.6710747Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T09:45:00.6711012Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T09:45:00.6711279Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T09:45:00.6711544Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T09:45:00.6711808Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T09:45:00.6712073Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T09:45:00.6712338Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T09:45:00.6712735Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T09:45:00.6713010Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T09:45:00.6713267Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T09:45:00.6713535Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T09:45:00.6713799Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T09:45:00.6714055Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T09:45:00.6714311Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T09:45:00.6714574Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T09:45:00.6714830Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T09:45:00.6715083Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T09:45:00.6715437Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T09:45:00.6715714Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T09:45:00.6715977Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T09:45:00.6716249Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T09:45:00.6716505Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T09:45:00.6716758Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T09:45:00.6717017Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T09:45:00.6717405Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T09:45:00.6717677Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T09:45:00.6717937Z * [new tag] trunk/7a83cf430e97d83d6fb14880b9049e77ff725685 -> trunk/7a83cf430e97d83d6fb14880b9049e77ff725685 2025-09-07T09:45:00.6718197Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T09:45:00.6718453Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T09:45:00.6718704Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T09:45:00.6718959Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T09:45:00.6719225Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T09:45:00.6719491Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T09:45:00.6719890Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T09:45:00.6720160Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T09:45:00.6720426Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T09:45:00.6720685Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T09:45:00.6720957Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T09:45:00.6721224Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T09:45:00.6721490Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T09:45:00.6721764Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T09:45:00.6722024Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T09:45:00.6722282Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T09:45:00.6722675Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T09:45:00.6722938Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T09:45:00.6723200Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T09:45:00.6723469Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T09:45:00.6723738Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T09:45:00.6724001Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T09:45:00.6724269Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T09:45:00.6724537Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T09:45:00.6724796Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T09:45:00.6725052Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T09:45:00.6725318Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:45:00.6725581Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T09:45:00.6725843Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T09:45:00.6726105Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T09:45:00.6726359Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T09:45:00.6726621Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T09:45:00.6726879Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T09:45:00.6727247Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T09:45:00.6727658Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T09:45:00.6727924Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T09:45:00.6728193Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T09:45:00.6728456Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T09:45:00.6728719Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T09:45:00.6728977Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T09:45:00.6729252Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T09:45:00.6729525Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T09:45:00.6729787Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T09:45:00.6730197Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T09:45:00.6730469Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T09:45:00.6730735Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T09:45:00.6731001Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T09:45:00.6731256Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T09:45:00.6731516Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T09:45:00.6731783Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T09:45:00.6732042Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T09:45:00.6732308Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T09:45:00.6732565Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T09:45:00.6732839Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T09:45:00.6733110Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T09:45:00.6733371Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T09:45:00.6733642Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T09:45:00.6733910Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T09:45:00.6734192Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T09:45:00.6734593Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T09:45:00.6734939Z * [new tag] trunk/ada43ed39c80b746b4822c92640a1882619e2795 -> trunk/ada43ed39c80b746b4822c92640a1882619e2795 2025-09-07T09:45:00.6735213Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T09:45:00.6735492Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T09:45:00.6735759Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T09:45:00.6736015Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T09:45:00.6736286Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T09:45:00.6736554Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T09:45:00.6736815Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T09:45:00.6737084Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T09:45:00.6737593Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T09:45:00.6737872Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T09:45:00.6738133Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T09:45:00.6738402Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T09:45:00.6738664Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T09:45:00.6738938Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T09:45:00.6739205Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T09:45:00.6739473Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T09:45:00.6739738Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T09:45:00.6740000Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T09:45:00.6740276Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T09:45:00.6740534Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T09:45:00.6740805Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T09:45:00.6741081Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T09:45:00.6741341Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T09:45:00.6741610Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T09:45:00.6741884Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T09:45:00.6742297Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T09:45:00.6742590Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T09:45:00.6742857Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T09:45:00.6743131Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T09:45:00.6743398Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T09:45:00.6743658Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T09:45:00.6743919Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T09:45:00.6744173Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T09:45:00.6744439Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T09:45:00.6744844Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T09:45:00.6745099Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T09:45:00.6745368Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T09:45:00.6745624Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T09:45:00.6745909Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T09:45:00.6746172Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T09:45:00.6746437Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T09:45:00.6746709Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T09:45:00.6746971Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T09:45:00.6747233Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T09:45:00.6747639Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T09:45:00.6747911Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T09:45:00.6748189Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T09:45:00.6748457Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T09:45:00.6748728Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T09:45:00.6748993Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T09:45:00.6749257Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T09:45:00.6749654Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T09:45:00.6749925Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T09:45:00.6750293Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T09:45:00.6750554Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T09:45:00.6750809Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T09:45:00.6751077Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T09:45:00.6751336Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T09:45:00.6751613Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T09:45:00.6751884Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T09:45:00.6752156Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T09:45:00.6752570Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T09:45:00.6752830Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T09:45:00.6753095Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T09:45:00.6753370Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T09:45:00.6753634Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T09:45:00.6753894Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T09:45:00.6754165Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T09:45:00.6754429Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T09:45:00.6754686Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T09:45:00.6754951Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T09:45:00.6755218Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T09:45:00.6755478Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T09:45:00.6755739Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T09:45:00.6756016Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T09:45:00.6756294Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T09:45:00.6756557Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T09:45:00.6756832Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T09:45:00.6757191Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T09:45:00.6757597Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T09:45:00.6757859Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T09:45:00.6758129Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T09:45:00.6758385Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T09:45:00.6758654Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T09:45:00.6758935Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T09:45:00.6759193Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T09:45:00.6759461Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T09:45:00.6759865Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T09:45:00.6760131Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T09:45:00.6760405Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T09:45:00.6760672Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T09:45:00.6760938Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T09:45:00.6761197Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T09:45:00.6761322Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T09:45:00.6761433Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T09:45:00.6761536Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T09:45:00.6761630Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T09:45:00.6761726Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T09:45:00.6761824Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T09:45:00.6761921Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T09:45:00.6762022Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T09:45:00.6762115Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T09:45:00.6762213Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T09:45:00.6762307Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T09:45:00.6762401Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T09:45:00.6762505Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T09:45:00.6762600Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T09:45:00.6762699Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T09:45:00.6762793Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T09:45:00.6762886Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T09:45:00.6762983Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T09:45:00.6763223Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T09:45:00.6763331Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T09:45:00.6763431Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T09:45:00.6763526Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T09:45:00.6763627Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T09:45:00.6763730Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T09:45:00.6763830Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T09:45:00.6763940Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T09:45:00.6764050Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T09:45:00.6764152Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T09:45:00.6764254Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T09:45:00.6764358Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T09:45:00.6764456Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T09:45:00.6764561Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T09:45:00.6764657Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T09:45:00.6764889Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T09:45:00.6764994Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T09:45:00.6765095Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T09:45:00.6765200Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T09:45:00.6765301Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T09:45:00.6765400Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T09:45:00.6765508Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T09:45:00.6765602Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T09:45:00.6765708Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T09:45:00.6765806Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T09:45:00.6765918Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T09:45:00.6766017Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T09:45:00.6766118Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T09:45:00.6766220Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T09:45:00.6766320Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T09:45:00.6766425Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T09:45:00.6766523Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T09:45:00.6766622Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T09:45:00.6766726Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T09:45:00.6766826Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T09:45:00.6766932Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T09:45:00.6767032Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T09:45:00.6767127Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T09:45:00.6767234Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T09:45:00.6767485Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T09:45:00.6767599Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T09:45:00.6767836Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T09:45:00.6767947Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T09:45:00.6768053Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T09:45:00.6768150Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T09:45:00.6768272Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T09:45:00.6768376Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T09:45:00.6768480Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T09:45:00.6768575Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T09:45:00.6768674Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T09:45:00.6768772Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T09:45:00.6768872Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T09:45:00.6768974Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T09:45:00.6769068Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T09:45:00.6769166Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T09:45:00.6769281Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T09:45:00.6769531Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T09:45:00.6769639Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T09:45:00.6769742Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T09:45:00.6769843Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T09:45:00.6769946Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T09:45:00.6770045Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T09:45:00.6770150Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T09:45:00.6770251Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T09:45:00.6770354Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T09:45:00.6770454Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T09:45:00.6770557Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T09:45:00.6770662Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T09:45:00.6770761Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T09:45:00.6770865Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T09:45:00.6770961Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T09:45:00.6771061Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T09:45:00.6771171Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T09:45:00.6771272Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T09:45:00.6771372Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T09:45:00.6771466Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T09:45:00.6771572Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T09:45:00.6771676Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T09:45:00.6771774Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T09:45:00.6771872Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T09:45:00.6771974Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T09:45:00.6772076Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T09:45:00.6772278Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T09:45:00.6772385Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T09:45:00.6772488Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T09:45:00.6772587Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T09:45:00.6772691Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T09:45:00.6772794Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T09:45:00.6772893Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T09:45:00.6772990Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T09:45:00.6773089Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T09:45:00.6773185Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T09:45:00.6773287Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T09:45:00.6773397Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T09:45:00.6773506Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T09:45:00.6773608Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T09:45:00.6773706Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T09:45:00.6773898Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T09:45:00.6774000Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T09:45:00.6774095Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T09:45:00.6774194Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T09:45:00.6774297Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T09:45:00.6774396Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T09:45:00.6774503Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T09:45:00.6774603Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T09:45:00.6774700Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T09:45:00.6774876Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T09:45:00.6774987Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T09:45:00.6775089Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T09:45:00.6775189Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T09:45:00.6775288Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T09:45:00.6775386Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T09:45:00.6775485Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T09:45:00.6775592Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T09:45:00.6775692Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T09:45:00.6775796Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T09:45:00.6775895Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T09:45:00.6775994Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T09:45:00.6776095Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T09:45:00.6776195Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T09:45:00.6776310Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T09:45:00.6776413Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T09:45:00.6776511Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T09:45:00.6776612Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T09:45:00.6776813Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T09:45:00.6776917Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T09:45:00.6777019Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T09:45:00.6777119Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T09:45:00.6777228Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T09:45:00.6777464Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T09:45:00.6777572Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T09:45:00.6777674Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T09:45:00.6777774Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T09:45:00.6777873Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T09:45:00.6777979Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T09:45:00.6778083Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T09:45:00.6778184Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T09:45:00.6778289Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T09:45:00.6778532Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T09:45:00.6778633Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T09:45:00.6778738Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T09:45:00.6778838Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T09:45:00.6778940Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T09:45:00.6779040Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T09:45:00.6779143Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T09:45:00.6779248Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T09:45:00.6779344Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T09:45:00.6779448Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T09:45:00.6779563Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T09:45:00.6779672Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T09:45:00.6779792Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T09:45:00.6779896Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T09:45:00.6780001Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T09:45:00.6780100Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T09:45:00.6780203Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T09:45:00.6780307Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T09:45:00.6780405Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T09:45:00.6780508Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T09:45:00.6780608Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T09:45:00.6780719Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T09:45:00.6780829Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T09:45:00.6780933Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T09:45:00.6781037Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T09:45:00.6781139Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T09:45:00.6781248Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T09:45:00.6781482Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T09:45:00.6781592Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T09:45:00.6781696Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T09:45:00.6781797Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T09:45:00.6781904Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T09:45:00.6782004Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T09:45:00.6782109Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T09:45:00.6782212Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T09:45:00.6782311Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T09:45:00.6782416Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T09:45:00.6782521Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T09:45:00.6782626Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T09:45:00.6782723Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T09:45:00.6782823Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T09:45:00.6782934Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T09:45:00.6783147Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T09:45:00.6783257Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T09:45:00.6783356Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T09:45:00.6783456Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T09:45:00.6783559Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T09:45:00.6783662Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T09:45:00.6783764Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T09:45:00.6783863Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T09:45:00.6783963Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T09:45:00.6784065Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T09:45:00.6784178Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T09:45:00.6784281Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T09:45:00.6784385Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T09:45:00.6784488Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T09:45:00.6784585Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T09:45:00.6784686Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T09:45:00.6784794Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T09:45:00.6784894Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T09:45:00.6784997Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T09:45:00.6785097Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T09:45:00.6785198Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T09:45:00.6785300Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T09:45:00.6785406Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T09:45:00.6785510Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T09:45:00.6785608Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T09:45:00.6785711Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T09:45:00.6785906Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T09:45:00.6786013Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T09:45:00.6786118Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T09:45:00.6786218Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T09:45:00.6786326Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T09:45:00.6786426Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T09:45:00.6786526Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T09:45:00.6786646Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T09:45:00.6786749Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T09:45:00.6786853Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T09:45:00.6786959Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T09:45:00.6787056Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T09:45:00.6787159Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T09:45:00.6787389Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T09:45:00.6787500Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T09:45:00.6787748Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T09:45:00.6787854Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T09:45:00.6787955Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T09:45:00.6788056Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T09:45:00.6788162Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T09:45:00.6788277Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T09:45:00.6788397Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T09:45:00.6788504Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T09:45:01.4149390Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T09:45:01.4180003Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:45:01.4185122Z ##[endgroup] 2025-09-07T09:45:01.4185601Z ##[group]Determining the checkout info 2025-09-07T09:45:01.4186083Z ##[endgroup] 2025-09-07T09:45:01.4189394Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T09:45:01.4246269Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T09:45:01.4279244Z ##[group]Checking out the ref 2025-09-07T09:45:01.4282411Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:45:02.4544593Z Updating files: 85% (16627/19405) 2025-09-07T09:45:02.4675152Z Updating files: 86% (16689/19405) 2025-09-07T09:45:02.4802660Z Updating files: 87% (16883/19405) 2025-09-07T09:45:02.4903297Z Updating files: 88% (17077/19405) 2025-09-07T09:45:02.5036216Z Updating files: 89% (17271/19405) 2025-09-07T09:45:02.5199554Z Updating files: 90% (17465/19405) 2025-09-07T09:45:02.5308511Z Updating files: 91% (17659/19405) 2025-09-07T09:45:02.5444363Z Updating files: 92% (17853/19405) 2025-09-07T09:45:02.5618975Z 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You can look around, make experimental 2025-09-07T09:45:02.6901709Z changes and commit them, and you can discard any commits you make in this 2025-09-07T09:45:02.6902221Z state without impacting any branches by switching back to a branch. 2025-09-07T09:45:02.6902527Z 2025-09-07T09:45:02.6902727Z If you want to create a new branch to retain commits you create, you may 2025-09-07T09:45:02.6903229Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T09:45:02.6903499Z 2025-09-07T09:45:02.6903606Z git switch -c 2025-09-07T09:45:02.6903797Z 2025-09-07T09:45:02.6903897Z Or undo this operation with: 2025-09-07T09:45:02.6904074Z 2025-09-07T09:45:02.6904157Z git switch - 2025-09-07T09:45:02.6904282Z 2025-09-07T09:45:02.6904523Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T09:45:02.6904859Z 2025-09-07T09:45:02.6905043Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T09:45:02.7026034Z ##[endgroup] 2025-09-07T09:45:02.7026431Z ##[group]Setting up auth for fetching submodules 2025-09-07T09:45:02.7032432Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T09:45:02.7074840Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T09:45:02.7111165Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T09:45:02.7142804Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T09:45:02.7170399Z ##[endgroup] 2025-09-07T09:45:02.7170777Z ##[group]Fetching submodules 2025-09-07T09:45:02.7173161Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T09:45:02.7457864Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T09:45:02.7718808Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T09:45:02.7730753Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T09:45:02.7743200Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T09:45:02.7755197Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T09:45:02.7767922Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T09:45:02.7780492Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T09:45:02.7792032Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T09:45:02.7803868Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T09:45:02.7815631Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T09:45:02.7827744Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T09:45:02.7840210Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T09:45:02.7851901Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T09:45:02.7863968Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T09:45:02.7876024Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T09:45:02.7887897Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T09:45:02.7900046Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T09:45:02.7911925Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T09:45:02.7923982Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T09:45:02.7936119Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:45:02.7948484Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T09:45:02.7960209Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T09:45:02.7972155Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T09:45:02.7984147Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T09:45:02.7995611Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T09:45:02.8007821Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T09:45:02.8019990Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T09:45:02.8032226Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T09:45:02.8044397Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T09:45:02.8056956Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T09:45:02.8069371Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T09:45:02.8080943Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T09:45:02.8092390Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T09:45:02.8104421Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T09:45:02.8116759Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T09:45:02.8129156Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T09:45:02.8141726Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T09:45:02.8153546Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T09:45:02.8185584Z Cloning into '/home/charlie/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T09:45:03.0923144Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T09:45:03.3377059Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T09:45:03.5471072Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T09:45:03.7970213Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T09:45:04.1674611Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T09:45:05.1842239Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T09:45:17.3083774Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T09:45:22.2874549Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T09:45:22.8765547Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T09:45:27.0079524Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T09:45:28.7405171Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T09:45:30.8725784Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T09:45:32.4791871Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T09:45:34.7178794Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T09:45:36.1443363Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T09:45:37.9353422Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T09:45:40.7198038Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T09:45:43.6274401Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T09:45:45.9464302Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T09:45:48.0276942Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T09:45:50.9762823Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T09:45:52.8729618Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T09:45:54.5849276Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T09:45:58.1012522Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T09:45:59.0171986Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T09:45:59.8686696Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T09:46:05.8170612Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T09:46:09.0318686Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T09:46:13.6122717Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T09:46:13.8521604Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T09:46:21.3262145Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T09:46:21.5605130Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T09:46:21.8178364Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T09:46:22.6172452Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T09:46:22.9169523Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T09:46:23.7054471Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T09:46:24.1111504Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T09:46:24.1242630Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T09:46:24.1348421Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T09:46:24.1606875Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T09:46:24.2419046Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T09:46:24.2957944Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T09:46:25.0777684Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T09:46:25.2335182Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T09:46:25.2368986Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:46:25.2401093Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T09:46:30.5694856Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T09:46:30.6600725Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T09:46:31.0271726Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T09:46:31.1463833Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T09:46:31.2733540Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T09:46:31.3775280Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T09:46:32.3482925Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T09:46:32.5160285Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T09:46:32.6731638Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T09:46:32.7846295Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:46:32.8924916Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:46:33.0107865Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T09:46:33.1204329Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T09:46:33.4189578Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:46:33.4533577Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T09:46:33.4566709Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T09:46:35.2406858Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T09:46:37.3807013Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T09:46:39.6355739Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T09:46:41.8356457Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T09:46:42.5464724Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T09:46:42.8612194Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T09:46:48.3445576Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T09:46:48.6176425Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T09:46:48.7188741Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T09:46:49.5081548Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T09:46:49.5546247Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T09:46:49.5676366Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T09:46:49.6743342Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T09:46:49.7481289Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T09:46:49.7701988Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:46:49.7936711Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:46:49.7967413Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T09:46:52.6844799Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T09:46:55.1545502Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T09:46:55.7480310Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T09:46:55.8963664Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T09:46:55.9300996Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T09:46:55.9712753Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T09:46:55.9979259Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T09:46:56.0433919Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T09:46:56.0582904Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T09:46:56.0612636Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T09:46:56.0640398Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T09:47:07.5957862Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T09:47:07.6257726Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T09:47:07.7122745Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T09:47:07.7319365Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:47:07.7430111Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:47:07.7468729Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:47:07.7505840Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T09:47:08.7459743Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T09:47:09.6545226Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T09:47:11.0093156Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T09:47:11.0122212Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:47:11.0133121Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:47:11.0144359Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:47:11.0154965Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:47:11.0166528Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:47:11.0178447Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:47:11.0190059Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:47:11.0200883Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:47:11.0237578Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T09:47:12.5083027Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T09:47:12.8431237Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T09:47:13.7260704Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T09:47:13.9916317Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T09:47:14.3925358Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T09:47:15.9767601Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T09:47:23.6536854Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T09:47:24.7083380Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T09:47:24.7421642Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T09:47:24.7886391Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T09:47:24.8191243Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T09:47:24.8683839Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:47:24.8716307Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T09:47:26.1777686Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T09:47:26.2213112Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T09:47:26.3040109Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T09:47:26.4360978Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T09:47:26.4589240Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T09:47:26.5014806Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T09:47:26.6071959Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T09:47:26.7301067Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T09:47:26.8186708Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T09:47:26.9576422Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T09:47:27.9972031Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T09:47:28.0934992Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T09:47:28.0979793Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T09:47:29.6693270Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T09:47:29.7775380Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T09:47:29.8583905Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:47:29.9010397Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:47:29.9176486Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:47:29.9412761Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:47:29.9590251Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:47:29.9709175Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:47:29.9971821Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:47:30.0064010Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:47:30.0097122Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T09:47:30.8216926Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T09:47:32.0691903Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T09:47:32.8419839Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T09:47:42.1134271Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T09:47:43.7839279Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T09:47:45.2147249Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T09:47:46.8185094Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T09:47:55.9368674Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T09:47:56.0136779Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T09:47:56.0929895Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T09:47:56.2411964Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T09:47:56.3204359Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T09:47:56.4078025Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T09:47:56.4845712Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T09:47:56.6225767Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:47:56.7302006Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:47:56.7331712Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-09-07T09:48:00.2286983Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-09-07T09:48:03.1524214Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T09:48:03.2753961Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T09:48:04.4714984Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T09:48:04.5622056Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T09:48:05.4778448Z Submodule path 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file:/home/charlie/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T09:48:28.7454974Z Entering 'third_party/FP16' 2025-09-07T09:48:28.7755721Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T09:48:28.7775616Z Entering 'third_party/FXdiv' 2025-09-07T09:48:28.8092547Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T09:48:28.8113386Z Entering 'third_party/NNPACK' 2025-09-07T09:48:28.8436562Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-09-07T09:48:28.8456961Z Entering 'third_party/NVTX' 2025-09-07T09:48:28.8835638Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-09-07T09:48:28.8855952Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:48:28.9247073Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-09-07T09:48:28.9267423Z Entering 'third_party/XNNPACK' 2025-09-07T09:48:28.9711933Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-09-07T09:48:28.9745161Z Entering 'third_party/aiter' 2025-09-07T09:48:29.0181982Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-09-07T09:48:29.0201842Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:48:29.0591897Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-09-07T09:48:29.0621853Z Entering 'third_party/benchmark' 2025-09-07T09:48:29.1063667Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-09-07T09:48:29.1082806Z Entering 'third_party/composable_kernel' 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file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-09-07T09:48:29.5239247Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:48:29.5288957Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-09-07T09:48:29.5312328Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:48:29.5362482Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-09-07T09:48:29.5382523Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:48:29.5441565Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-09-07T09:48:29.5467073Z Entering 'third_party/flash-attention' 2025-09-07T09:48:29.5527050Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-09-07T09:48:29.5548189Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:48:29.5596479Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-09-07T09:48:29.5621369Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:48:29.5674327Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-09-07T09:48:29.5701597Z Entering 'third_party/flatbuffers' 2025-09-07T09:48:29.5741344Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-09-07T09:48:29.5764603Z Entering 'third_party/fmt' 2025-09-07T09:48:29.5806365Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 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2025-09-07T09:48:29.6339918Z Entering 'third_party/ittapi' 2025-09-07T09:48:29.6379611Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T09:48:29.6399912Z Entering 'third_party/kineto' 2025-09-07T09:48:29.6461427Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-09-07T09:48:29.6481829Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:48:29.6522131Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-09-07T09:48:29.6539938Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:48:29.6579425Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-09-07T09:48:29.6599250Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:48:29.6637728Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T09:48:29.6656831Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:48:29.7145006Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-09-07T09:48:29.7163648Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:48:29.7433796Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-09-07T09:48:29.7455608Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:48:29.7511028Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2025-09-07T09:48:29.7533066Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:48:29.7578134Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T09:48:29.7597813Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:48:29.7672762Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:48:29.7692891Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:48:29.8229636Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2025-09-07T09:48:29.8250368Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:48:29.8773879Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2025-09-07T09:48:29.8800012Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:48:29.8848010Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2025-09-07T09:48:29.8867722Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:48:29.8922755Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T09:48:29.8945506Z Entering 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file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2025-09-07T09:48:30.0779280Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:48:30.1210779Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2025-09-07T09:48:30.1234194Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:48:30.1702007Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-09-07T09:48:30.1723245Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:48:30.2047180Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 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'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:48:37.6237534Z http.https://github.com/.extraheader 2025-09-07T09:48:37.6279671Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:48:37.6306973Z http.https://github.com/.extraheader 2025-09-07T09:48:37.6387230Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:48:37.6411256Z http.https://github.com/.extraheader 2025-09-07T09:48:37.6453718Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:48:37.6480223Z http.https://github.com/.extraheader 2025-09-07T09:48:37.6522826Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:48:37.6551308Z http.https://github.com/.extraheader 2025-09-07T09:48:37.6590766Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:48:37.6618147Z http.https://github.com/.extraheader 2025-09-07T09:48:37.6654983Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:48:37.6681995Z http.https://github.com/.extraheader 2025-09-07T09:48:37.6723183Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:48:37.6749928Z http.https://github.com/.extraheader 2025-09-07T09:48:37.6804911Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:48:37.6831230Z http.https://github.com/.extraheader 2025-09-07T09:48:37.6867576Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:48:37.6893307Z http.https://github.com/.extraheader 2025-09-07T09:48:37.6933731Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:48:37.6959455Z http.https://github.com/.extraheader 2025-09-07T09:48:37.7013512Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:48:37.7039281Z http.https://github.com/.extraheader 2025-09-07T09:48:37.7076827Z Entering 'third_party/kleidiai' 2025-09-07T09:48:37.7106065Z http.https://github.com/.extraheader 2025-09-07T09:48:37.7141297Z Entering 'third_party/mimalloc' 2025-09-07T09:48:37.7168278Z http.https://github.com/.extraheader 2025-09-07T09:48:37.7224479Z Entering 'third_party/nlohmann' 2025-09-07T09:48:37.7251906Z http.https://github.com/.extraheader 2025-09-07T09:48:37.7290116Z Entering 'third_party/onnx' 2025-09-07T09:48:37.7318734Z http.https://github.com/.extraheader 2025-09-07T09:48:37.7375335Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:48:37.7402756Z http.https://github.com/.extraheader 2025-09-07T09:48:37.7446561Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:48:37.7474314Z http.https://github.com/.extraheader 2025-09-07T09:48:37.7519568Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:48:37.7546282Z http.https://github.com/.extraheader 2025-09-07T09:48:37.8715155Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:48:37.8741120Z http.https://github.com/.extraheader 2025-09-07T09:48:37.8775030Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:48:37.8800575Z http.https://github.com/.extraheader 2025-09-07T09:48:37.8959965Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:48:37.8989701Z http.https://github.com/.extraheader 2025-09-07T09:48:37.9248629Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:48:37.9274122Z http.https://github.com/.extraheader 2025-09-07T09:48:37.9505635Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:48:37.9531683Z http.https://github.com/.extraheader 2025-09-07T09:48:37.9717098Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:48:37.9745025Z http.https://github.com/.extraheader 2025-09-07T09:48:37.9795309Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:48:37.9819377Z http.https://github.com/.extraheader 2025-09-07T09:48:37.9968576Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:48:37.9993227Z http.https://github.com/.extraheader 2025-09-07T09:48:38.0266934Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:48:38.0292007Z http.https://github.com/.extraheader 2025-09-07T09:48:38.0373072Z Entering 'third_party/pocketfft' 2025-09-07T09:48:38.0402715Z http.https://github.com/.extraheader 2025-09-07T09:48:38.0456891Z Entering 'third_party/protobuf' 2025-09-07T09:48:38.0484692Z http.https://github.com/.extraheader 2025-09-07T09:48:38.0557015Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:48:38.0582933Z http.https://github.com/.extraheader 2025-09-07T09:48:38.0629059Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:48:38.0652931Z http.https://github.com/.extraheader 2025-09-07T09:48:38.0690145Z Entering 'third_party/psimd' 2025-09-07T09:48:38.0717541Z http.https://github.com/.extraheader 2025-09-07T09:48:38.0752264Z Entering 'third_party/pthreadpool' 2025-09-07T09:48:38.0780990Z http.https://github.com/.extraheader 2025-09-07T09:48:38.0827966Z Entering 'third_party/pybind11' 2025-09-07T09:48:38.0853185Z http.https://github.com/.extraheader 2025-09-07T09:48:38.0896941Z Entering 'third_party/python-peachpy' 2025-09-07T09:48:38.0923013Z http.https://github.com/.extraheader 2025-09-07T09:48:38.0960522Z Entering 'third_party/sleef' 2025-09-07T09:48:38.0988304Z http.https://github.com/.extraheader 2025-09-07T09:48:38.1098804Z Entering 'third_party/tensorpipe' 2025-09-07T09:48:38.1124657Z http.https://github.com/.extraheader 2025-09-07T09:48:38.1161634Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:48:38.1185830Z http.https://github.com/.extraheader 2025-09-07T09:48:38.1280541Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:48:38.1306610Z http.https://github.com/.extraheader 2025-09-07T09:48:38.1357815Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:48:38.1383087Z http.https://github.com/.extraheader 2025-09-07T09:48:38.1420135Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:48:38.1443777Z http.https://github.com/.extraheader 2025-09-07T09:48:38.1493709Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:48:38.1517209Z http.https://github.com/.extraheader 2025-09-07T09:48:38.1582577Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T09:48:38.1914039Z ##[endgroup] 2025-09-07T09:48:38.1914424Z ##[group]Fetching the repository 2025-09-07T09:48:38.1921469Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T09:48:38.6950100Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T09:48:38.6987785Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:48:38.6988645Z ##[endgroup] 2025-09-07T09:48:38.6989003Z ##[group]Determining the checkout info 2025-09-07T09:48:38.6989399Z ##[endgroup] 2025-09-07T09:48:38.6989630Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T09:48:38.7746797Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T09:48:38.7779740Z ##[group]Checking out the ref 2025-09-07T09:48:38.7783964Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:48:38.8181713Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T09:48:38.8193534Z ##[endgroup] 2025-09-07T09:48:38.8193914Z ##[group]Setting up auth for fetching submodules 2025-09-07T09:48:38.8198735Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T09:48:38.8672052Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T09:48:38.8701603Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T09:48:38.9175543Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T09:48:38.9456573Z ##[endgroup] 2025-09-07T09:48:38.9457023Z ##[group]Fetching submodules 2025-09-07T09:48:38.9460288Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T09:48:39.0229774Z Synchronizing submodule url for 'android/libs/fbjni' 2025-09-07T09:48:39.0997866Z Synchronizing submodule url for 'third_party/FP16' 2025-09-07T09:48:39.2324234Z Synchronizing submodule url for 'third_party/FXdiv' 2025-09-07T09:48:39.2379838Z Synchronizing submodule url for 'third_party/NNPACK' 2025-09-07T09:48:39.2423994Z Synchronizing submodule url for 'third_party/NVTX' 2025-09-07T09:48:39.2528131Z Synchronizing submodule url for 'third_party/VulkanMemoryAllocator' 2025-09-07T09:48:39.2568220Z Synchronizing submodule url for 'third_party/XNNPACK' 2025-09-07T09:48:39.2633421Z Synchronizing submodule url for 'third_party/aiter' 2025-09-07T09:48:39.2754828Z Synchronizing submodule url for 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:48:39.2795304Z Synchronizing submodule url for 'third_party/benchmark' 2025-09-07T09:48:39.2875108Z Synchronizing submodule url for 'third_party/composable_kernel' 2025-09-07T09:48:39.2925720Z Synchronizing submodule url for 'third_party/cpp-httplib' 2025-09-07T09:48:39.3032260Z Synchronizing submodule url for 'third_party/cpuinfo' 2025-09-07T09:48:39.3060598Z Synchronizing submodule url for 'third_party/cudnn_frontend' 2025-09-07T09:48:39.3167716Z Synchronizing submodule url for 'third_party/cutlass' 2025-09-07T09:48:39.3233298Z Synchronizing submodule url for 'third_party/fbgemm' 2025-09-07T09:48:39.3327979Z Synchronizing submodule url for 'third_party/fbgemm/external/asmjit' 2025-09-07T09:48:39.3356754Z Synchronizing submodule url for 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:48:39.3504463Z Synchronizing submodule url for 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:48:39.3593569Z Synchronizing submodule url for 'third_party/fbgemm/external/cutlass' 2025-09-07T09:48:39.4149663Z Synchronizing submodule url for 'third_party/fbgemm/external/googletest' 2025-09-07T09:48:39.4236145Z Synchronizing submodule url for 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:48:39.5768107Z Synchronizing submodule url for 'third_party/fbgemm/external/json' 2025-09-07T09:48:39.5803150Z Synchronizing submodule url for 'third_party/flash-attention' 2025-09-07T09:48:39.6058665Z Synchronizing submodule url for 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:48:39.6230828Z Synchronizing submodule url for 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:48:39.6282723Z Synchronizing submodule url for 'third_party/flatbuffers' 2025-09-07T09:48:39.6321259Z Synchronizing submodule url for 'third_party/fmt' 2025-09-07T09:48:39.6506195Z Synchronizing submodule url for 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:48:39.6540640Z Synchronizing submodule url for 'third_party/gloo' 2025-09-07T09:48:39.6839054Z Synchronizing submodule url for 'third_party/googletest' 2025-09-07T09:48:39.7080795Z Synchronizing submodule url for 'third_party/ideep' 2025-09-07T09:48:39.7253208Z Synchronizing submodule url for 'third_party/ideep/mkl-dnn' 2025-09-07T09:48:39.7367679Z Synchronizing submodule url for 'third_party/ittapi' 2025-09-07T09:48:39.7506351Z Synchronizing submodule url for 'third_party/kineto' 2025-09-07T09:48:39.7866526Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:48:39.8148363Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:48:39.8185736Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:48:39.8366234Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:48:39.8452649Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:48:39.8558058Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:48:39.8599801Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:48:39.8780965Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:48:39.8813232Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:48:39.8960403Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:48:39.8996864Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:48:39.9078114Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:48:39.9112247Z Synchronizing submodule url for 'third_party/kleidiai' 2025-09-07T09:48:39.9270189Z Synchronizing submodule url for 'third_party/mimalloc' 2025-09-07T09:48:39.9301343Z Synchronizing submodule url for 'third_party/nlohmann' 2025-09-07T09:48:39.9432049Z Synchronizing submodule url for 'third_party/onnx' 2025-09-07T09:48:39.9632010Z Synchronizing submodule url for 'third_party/onnx/third_party/pybind11' 2025-09-07T09:48:39.9677672Z Synchronizing submodule url for 'third_party/opentelemetry-cpp' 2025-09-07T09:48:39.9890438Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:48:40.0116650Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:48:40.0168553Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:48:40.0414592Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:48:40.0577470Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:48:40.0647958Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:48:40.0843038Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:48:40.1045223Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:48:40.1083723Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:48:40.1116926Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:48:40.1177605Z Synchronizing submodule url for 'third_party/pocketfft' 2025-09-07T09:48:40.1432862Z Synchronizing submodule url for 'third_party/protobuf' 2025-09-07T09:48:40.1636142Z Synchronizing submodule url for 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:48:40.1721972Z Synchronizing submodule url for 'third_party/protobuf/third_party/googletest' 2025-09-07T09:48:40.1763221Z Synchronizing submodule url for 'third_party/psimd' 2025-09-07T09:48:40.1960624Z Synchronizing submodule url for 'third_party/pthreadpool' 2025-09-07T09:48:40.1988101Z Synchronizing submodule url for 'third_party/pybind11' 2025-09-07T09:48:40.2054334Z Synchronizing submodule url for 'third_party/python-peachpy' 2025-09-07T09:48:40.2093981Z Synchronizing submodule url for 'third_party/sleef' 2025-09-07T09:48:40.2195206Z Synchronizing submodule url for 'third_party/tensorpipe' 2025-09-07T09:48:40.2357776Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:48:40.2412763Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:48:40.2441497Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:48:40.2619387Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:48:40.2785786Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:48:40.2829093Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T09:48:40.3307896Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T09:48:40.3505297Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T09:48:40.3632900Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T09:48:40.3960615Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T09:48:40.4811383Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T09:48:40.5175477Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T09:48:40.6195614Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T09:48:40.8170820Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T09:48:41.0930325Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T09:48:41.1142370Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T09:48:41.1506087Z Submodule path 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2025-09-07T09:48:53.3070598Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:48:53.3510699Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:48:53.3975276Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:48:53.4384611Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:48:53.4831530Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:48:53.5298722Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:48:53.5755797Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:48:53.6188206Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:48:53.6684647Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:48:53.7175217Z Entering 'third_party/pocketfft' 2025-09-07T09:48:53.7646821Z Entering 'third_party/protobuf' 2025-09-07T09:48:53.8096781Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:48:53.8516481Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:48:53.8934543Z Entering 'third_party/psimd' 2025-09-07T09:48:53.9300242Z Entering 'third_party/pthreadpool' 2025-09-07T09:48:53.9786061Z Entering 'third_party/pybind11' 2025-09-07T09:48:54.0271062Z Entering 'third_party/python-peachpy' 2025-09-07T09:48:54.1956343Z Entering 'third_party/sleef' 2025-09-07T09:48:54.1999274Z Entering 'third_party/tensorpipe' 2025-09-07T09:48:54.2040992Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:48:54.2082060Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:48:54.2122744Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:48:54.2163533Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:48:54.2641778Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:48:54.3133960Z ##[endgroup] 2025-09-07T09:48:54.3134374Z ##[group]Persisting credentials for submodules 2025-09-07T09:48:54.3140761Z [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' || :" 2025-09-07T09:48:54.3400806Z Entering 'android/libs/fbjni' 2025-09-07T09:48:54.3428695Z url.https://github.com/.insteadof 2025-09-07T09:48:54.3429106Z url.https://github.com/.insteadof 2025-09-07T09:48:54.3559540Z Entering 'third_party/FP16' 2025-09-07T09:48:54.3586748Z url.https://github.com/.insteadof 2025-09-07T09:48:54.3587026Z url.https://github.com/.insteadof 2025-09-07T09:48:54.4043315Z Entering 'third_party/FXdiv' 2025-09-07T09:48:54.4071290Z url.https://github.com/.insteadof 2025-09-07T09:48:54.4071590Z url.https://github.com/.insteadof 2025-09-07T09:48:54.4523017Z Entering 'third_party/NNPACK' 2025-09-07T09:48:54.4549972Z url.https://github.com/.insteadof 2025-09-07T09:48:54.4550258Z url.https://github.com/.insteadof 2025-09-07T09:48:54.4965877Z Entering 'third_party/NVTX' 2025-09-07T09:48:54.4994001Z url.https://github.com/.insteadof 2025-09-07T09:48:54.4994307Z url.https://github.com/.insteadof 2025-09-07T09:48:54.5454375Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:48:54.5482702Z url.https://github.com/.insteadof 2025-09-07T09:48:54.5483051Z url.https://github.com/.insteadof 2025-09-07T09:48:54.6986541Z Entering 'third_party/XNNPACK' 2025-09-07T09:48:54.7013962Z url.https://github.com/.insteadof 2025-09-07T09:48:54.7014252Z url.https://github.com/.insteadof 2025-09-07T09:48:54.7711476Z Entering 'third_party/aiter' 2025-09-07T09:48:54.7740441Z url.https://github.com/.insteadof 2025-09-07T09:48:54.7740719Z url.https://github.com/.insteadof 2025-09-07T09:48:54.7789646Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:48:54.7815973Z url.https://github.com/.insteadof 2025-09-07T09:48:54.7816249Z url.https://github.com/.insteadof 2025-09-07T09:48:54.7859568Z Entering 'third_party/benchmark' 2025-09-07T09:48:54.7886709Z url.https://github.com/.insteadof 2025-09-07T09:48:54.7887004Z url.https://github.com/.insteadof 2025-09-07T09:48:54.8367462Z Entering 'third_party/composable_kernel' 2025-09-07T09:48:54.8395251Z url.https://github.com/.insteadof 2025-09-07T09:48:54.8395573Z url.https://github.com/.insteadof 2025-09-07T09:48:54.8856943Z Entering 'third_party/cpp-httplib' 2025-09-07T09:48:54.8885277Z url.https://github.com/.insteadof 2025-09-07T09:48:54.8885579Z url.https://github.com/.insteadof 2025-09-07T09:48:54.9301883Z Entering 'third_party/cpuinfo' 2025-09-07T09:48:54.9329698Z url.https://github.com/.insteadof 2025-09-07T09:48:54.9330018Z url.https://github.com/.insteadof 2025-09-07T09:48:54.9783368Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:48:54.9810433Z url.https://github.com/.insteadof 2025-09-07T09:48:54.9810746Z url.https://github.com/.insteadof 2025-09-07T09:48:55.0264599Z Entering 'third_party/cutlass' 2025-09-07T09:48:55.0291865Z url.https://github.com/.insteadof 2025-09-07T09:48:55.0292174Z url.https://github.com/.insteadof 2025-09-07T09:48:55.0719159Z Entering 'third_party/fbgemm' 2025-09-07T09:48:55.0746531Z url.https://github.com/.insteadof 2025-09-07T09:48:55.0746820Z url.https://github.com/.insteadof 2025-09-07T09:48:55.1196703Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:48:55.1223347Z url.https://github.com/.insteadof 2025-09-07T09:48:55.1223646Z url.https://github.com/.insteadof 2025-09-07T09:48:55.1671483Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:48:55.1697191Z url.https://github.com/.insteadof 2025-09-07T09:48:55.1697633Z url.https://github.com/.insteadof 2025-09-07T09:48:55.2158754Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:48:55.2184094Z url.https://github.com/.insteadof 2025-09-07T09:48:55.2184379Z url.https://github.com/.insteadof 2025-09-07T09:48:55.2632342Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:48:55.2658041Z url.https://github.com/.insteadof 2025-09-07T09:48:55.2658335Z url.https://github.com/.insteadof 2025-09-07T09:48:55.2997812Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:48:55.3023405Z url.https://github.com/.insteadof 2025-09-07T09:48:55.3023676Z url.https://github.com/.insteadof 2025-09-07T09:48:55.3470390Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:48:55.3495914Z url.https://github.com/.insteadof 2025-09-07T09:48:55.3496193Z url.https://github.com/.insteadof 2025-09-07T09:48:55.3950191Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:48:55.3975787Z url.https://github.com/.insteadof 2025-09-07T09:48:55.3976080Z url.https://github.com/.insteadof 2025-09-07T09:48:55.4400113Z Entering 'third_party/flash-attention' 2025-09-07T09:48:55.4429692Z url.https://github.com/.insteadof 2025-09-07T09:48:55.4430009Z url.https://github.com/.insteadof 2025-09-07T09:48:55.4874146Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:48:55.4900337Z url.https://github.com/.insteadof 2025-09-07T09:48:55.4900603Z url.https://github.com/.insteadof 2025-09-07T09:48:55.5308526Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:48:55.5333752Z url.https://github.com/.insteadof 2025-09-07T09:48:55.5334044Z url.https://github.com/.insteadof 2025-09-07T09:48:55.5771018Z Entering 'third_party/flatbuffers' 2025-09-07T09:48:55.5800441Z url.https://github.com/.insteadof 2025-09-07T09:48:55.5800750Z url.https://github.com/.insteadof 2025-09-07T09:48:55.6246860Z Entering 'third_party/fmt' 2025-09-07T09:48:55.6274750Z url.https://github.com/.insteadof 2025-09-07T09:48:55.6275039Z url.https://github.com/.insteadof 2025-09-07T09:48:55.6668110Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:48:55.6694961Z url.https://github.com/.insteadof 2025-09-07T09:48:55.6695261Z url.https://github.com/.insteadof 2025-09-07T09:48:55.7146650Z Entering 'third_party/gloo' 2025-09-07T09:48:55.7173662Z url.https://github.com/.insteadof 2025-09-07T09:48:55.7173959Z url.https://github.com/.insteadof 2025-09-07T09:48:55.7629410Z Entering 'third_party/googletest' 2025-09-07T09:48:55.7656391Z url.https://github.com/.insteadof 2025-09-07T09:48:55.7656680Z url.https://github.com/.insteadof 2025-09-07T09:48:55.8076339Z Entering 'third_party/ideep' 2025-09-07T09:48:55.8104098Z url.https://github.com/.insteadof 2025-09-07T09:48:55.8104430Z url.https://github.com/.insteadof 2025-09-07T09:48:55.8556144Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:48:55.8582240Z url.https://github.com/.insteadof 2025-09-07T09:48:55.8582545Z url.https://github.com/.insteadof 2025-09-07T09:48:55.8994621Z Entering 'third_party/ittapi' 2025-09-07T09:48:55.9023266Z url.https://github.com/.insteadof 2025-09-07T09:48:55.9023616Z url.https://github.com/.insteadof 2025-09-07T09:48:55.9483444Z Entering 'third_party/kineto' 2025-09-07T09:48:55.9512188Z url.https://github.com/.insteadof 2025-09-07T09:48:55.9512477Z url.https://github.com/.insteadof 2025-09-07T09:48:55.9962329Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:48:55.9989963Z url.https://github.com/.insteadof 2025-09-07T09:48:55.9990269Z url.https://github.com/.insteadof 2025-09-07T09:48:56.0383309Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:48:56.0408158Z url.https://github.com/.insteadof 2025-09-07T09:48:56.0408438Z url.https://github.com/.insteadof 2025-09-07T09:48:56.0869902Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:48:56.0896822Z url.https://github.com/.insteadof 2025-09-07T09:48:56.0897100Z url.https://github.com/.insteadof 2025-09-07T09:48:56.1345048Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:48:56.1370883Z url.https://github.com/.insteadof 2025-09-07T09:48:56.1371171Z url.https://github.com/.insteadof 2025-09-07T09:48:56.1796788Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:48:56.1823233Z url.https://github.com/.insteadof 2025-09-07T09:48:56.1823557Z url.https://github.com/.insteadof 2025-09-07T09:48:56.2276435Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:48:56.2302719Z url.https://github.com/.insteadof 2025-09-07T09:48:56.2303073Z url.https://github.com/.insteadof 2025-09-07T09:48:56.2699370Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:48:56.2725428Z url.https://github.com/.insteadof 2025-09-07T09:48:56.2725714Z url.https://github.com/.insteadof 2025-09-07T09:48:56.3181781Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:48:56.3209747Z url.https://github.com/.insteadof 2025-09-07T09:48:56.3210384Z url.https://github.com/.insteadof 2025-09-07T09:48:56.3656777Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:48:56.3684113Z url.https://github.com/.insteadof 2025-09-07T09:48:56.3684468Z url.https://github.com/.insteadof 2025-09-07T09:48:56.4103607Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:48:56.4130789Z url.https://github.com/.insteadof 2025-09-07T09:48:56.4131136Z url.https://github.com/.insteadof 2025-09-07T09:48:56.4590228Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:48:56.4616983Z url.https://github.com/.insteadof 2025-09-07T09:48:56.4617503Z url.https://github.com/.insteadof 2025-09-07T09:48:56.5064062Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:48:56.5090540Z url.https://github.com/.insteadof 2025-09-07T09:48:56.5090894Z url.https://github.com/.insteadof 2025-09-07T09:48:56.5491781Z Entering 'third_party/kleidiai' 2025-09-07T09:48:56.5521988Z url.https://github.com/.insteadof 2025-09-07T09:48:56.5522311Z url.https://github.com/.insteadof 2025-09-07T09:48:56.5969319Z Entering 'third_party/mimalloc' 2025-09-07T09:48:56.5998425Z url.https://github.com/.insteadof 2025-09-07T09:48:56.5998763Z url.https://github.com/.insteadof 2025-09-07T09:48:56.6388529Z Entering 'third_party/nlohmann' 2025-09-07T09:48:56.6415796Z url.https://github.com/.insteadof 2025-09-07T09:48:56.6416825Z url.https://github.com/.insteadof 2025-09-07T09:48:56.6870313Z Entering 'third_party/onnx' 2025-09-07T09:48:56.6897037Z url.https://github.com/.insteadof 2025-09-07T09:48:56.6897578Z url.https://github.com/.insteadof 2025-09-07T09:48:56.7362706Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:48:56.7392972Z url.https://github.com/.insteadof 2025-09-07T09:48:56.7393354Z url.https://github.com/.insteadof 2025-09-07T09:48:56.7802050Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:48:56.7830156Z url.https://github.com/.insteadof 2025-09-07T09:48:56.7830475Z url.https://github.com/.insteadof 2025-09-07T09:48:56.8279481Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:48:56.8305813Z url.https://github.com/.insteadof 2025-09-07T09:48:56.8306111Z url.https://github.com/.insteadof 2025-09-07T09:48:56.8755687Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:48:56.8782125Z url.https://github.com/.insteadof 2025-09-07T09:48:56.8782480Z url.https://github.com/.insteadof 2025-09-07T09:48:56.9177049Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:48:56.9202074Z url.https://github.com/.insteadof 2025-09-07T09:48:56.9202400Z url.https://github.com/.insteadof 2025-09-07T09:48:56.9657560Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:48:56.9682406Z url.https://github.com/.insteadof 2025-09-07T09:48:56.9682717Z url.https://github.com/.insteadof 2025-09-07T09:48:57.0079630Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:48:57.0104051Z url.https://github.com/.insteadof 2025-09-07T09:48:57.0104339Z url.https://github.com/.insteadof 2025-09-07T09:48:57.0551580Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:48:57.0576807Z url.https://github.com/.insteadof 2025-09-07T09:48:57.0577107Z url.https://github.com/.insteadof 2025-09-07T09:48:57.1033953Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:48:57.1058876Z url.https://github.com/.insteadof 2025-09-07T09:48:57.1059173Z url.https://github.com/.insteadof 2025-09-07T09:48:57.1455242Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:48:57.1481356Z url.https://github.com/.insteadof 2025-09-07T09:48:57.1481740Z url.https://github.com/.insteadof 2025-09-07T09:48:57.1939488Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:48:57.1963989Z url.https://github.com/.insteadof 2025-09-07T09:48:57.1964366Z url.https://github.com/.insteadof 2025-09-07T09:48:57.2421569Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:48:57.2445798Z url.https://github.com/.insteadof 2025-09-07T09:48:57.2446197Z url.https://github.com/.insteadof 2025-09-07T09:48:57.2822551Z Entering 'third_party/pocketfft' 2025-09-07T09:48:57.2848385Z url.https://github.com/.insteadof 2025-09-07T09:48:57.2848804Z url.https://github.com/.insteadof 2025-09-07T09:48:57.3283845Z Entering 'third_party/protobuf' 2025-09-07T09:48:57.3309472Z url.https://github.com/.insteadof 2025-09-07T09:48:57.3309852Z url.https://github.com/.insteadof 2025-09-07T09:48:57.3611709Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:48:57.3636662Z url.https://github.com/.insteadof 2025-09-07T09:48:57.3637037Z url.https://github.com/.insteadof 2025-09-07T09:48:57.4040197Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:48:57.4064422Z url.https://github.com/.insteadof 2025-09-07T09:48:57.4064782Z url.https://github.com/.insteadof 2025-09-07T09:48:57.4474233Z Entering 'third_party/psimd' 2025-09-07T09:48:57.4500795Z url.https://github.com/.insteadof 2025-09-07T09:48:57.4501171Z url.https://github.com/.insteadof 2025-09-07T09:48:57.4884478Z Entering 'third_party/pthreadpool' 2025-09-07T09:48:57.4914746Z url.https://github.com/.insteadof 2025-09-07T09:48:57.4915131Z url.https://github.com/.insteadof 2025-09-07T09:48:57.5352171Z Entering 'third_party/pybind11' 2025-09-07T09:48:57.5378941Z url.https://github.com/.insteadof 2025-09-07T09:48:57.5379328Z url.https://github.com/.insteadof 2025-09-07T09:48:57.5824570Z Entering 'third_party/python-peachpy' 2025-09-07T09:48:57.5850814Z url.https://github.com/.insteadof 2025-09-07T09:48:57.5851165Z url.https://github.com/.insteadof 2025-09-07T09:48:57.6210398Z Entering 'third_party/sleef' 2025-09-07T09:48:57.6236725Z url.https://github.com/.insteadof 2025-09-07T09:48:57.6237068Z url.https://github.com/.insteadof 2025-09-07T09:48:57.6652504Z Entering 'third_party/tensorpipe' 2025-09-07T09:48:57.6679651Z url.https://github.com/.insteadof 2025-09-07T09:48:57.6679999Z url.https://github.com/.insteadof 2025-09-07T09:48:57.7038544Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:48:57.7064761Z url.https://github.com/.insteadof 2025-09-07T09:48:57.7065042Z url.https://github.com/.insteadof 2025-09-07T09:48:57.7500635Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:48:57.7525368Z url.https://github.com/.insteadof 2025-09-07T09:48:57.7525665Z url.https://github.com/.insteadof 2025-09-07T09:48:57.7981687Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:48:57.8006386Z url.https://github.com/.insteadof 2025-09-07T09:48:57.8006667Z url.https://github.com/.insteadof 2025-09-07T09:48:57.8402328Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:48:57.8426807Z url.https://github.com/.insteadof 2025-09-07T09:48:57.8427101Z url.https://github.com/.insteadof 2025-09-07T09:48:57.8804563Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:48:57.8829936Z url.https://github.com/.insteadof 2025-09-07T09:48:57.8830223Z url.https://github.com/.insteadof 2025-09-07T09:48:57.9313825Z [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" 2025-09-07T09:48:57.9579956Z Entering 'android/libs/fbjni' 2025-09-07T09:48:57.9673548Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T09:48:57.9694505Z Entering 'third_party/FP16' 2025-09-07T09:48:58.0152973Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T09:48:58.0173024Z Entering 'third_party/FXdiv' 2025-09-07T09:48:58.0634277Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T09:48:58.0654853Z Entering 'third_party/NNPACK' 2025-09-07T09:48:58.1053689Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-09-07T09:48:58.1073828Z Entering 'third_party/NVTX' 2025-09-07T09:48:58.1540261Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-09-07T09:48:58.1562083Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:48:58.1964264Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-09-07T09:48:58.1984778Z Entering 'third_party/XNNPACK' 2025-09-07T09:48:58.2358005Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-09-07T09:48:58.2391798Z Entering 'third_party/aiter' 2025-09-07T09:48:58.2842143Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-09-07T09:48:58.2862724Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:48:58.3192909Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-09-07T09:48:58.3222704Z Entering 'third_party/benchmark' 2025-09-07T09:48:58.3613957Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-09-07T09:48:58.3635097Z Entering 'third_party/composable_kernel' 2025-09-07T09:48:58.4093663Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-09-07T09:48:58.4122547Z Entering 'third_party/cpp-httplib' 2025-09-07T09:48:58.4454910Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2025-09-07T09:48:58.4475645Z Entering 'third_party/cpuinfo' 2025-09-07T09:48:58.4939774Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-09-07T09:48:58.4960752Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:48:58.5303246Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-09-07T09:48:58.5323759Z Entering 'third_party/cutlass' 2025-09-07T09:48:58.5713348Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-09-07T09:48:58.5742487Z Entering 'third_party/fbgemm' 2025-09-07T09:48:58.6194308Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-09-07T09:48:58.6216214Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:48:58.6595991Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-09-07T09:48:58.6615825Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:48:58.7065990Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-09-07T09:48:58.7092094Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:48:58.7388658Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-09-07T09:48:58.7408706Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:48:58.7740970Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-09-07T09:48:58.7768983Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:48:58.8144172Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-09-07T09:48:58.8163607Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:48:58.8524107Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-09-07T09:48:58.8543142Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:48:58.8985131Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-09-07T09:48:58.9007577Z Entering 'third_party/flash-attention' 2025-09-07T09:48:58.9410396Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-09-07T09:48:58.9430731Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:48:58.9738583Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-09-07T09:48:58.9763540Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:48:59.2133223Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-09-07T09:48:59.2162516Z Entering 'third_party/flatbuffers' 2025-09-07T09:48:59.2566653Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-09-07T09:48:59.2590154Z Entering 'third_party/fmt' 2025-09-07T09:48:59.2957603Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-09-07T09:48:59.2978532Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:48:59.3374075Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-09-07T09:48:59.3394828Z Entering 'third_party/gloo' 2025-09-07T09:48:59.3860508Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-09-07T09:48:59.3880888Z Entering 'third_party/googletest' 2025-09-07T09:48:59.4333826Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:48:59.4354887Z Entering 'third_party/ideep' 2025-09-07T09:48:59.4744901Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-09-07T09:48:59.4764027Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:48:59.5230671Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-09-07T09:48:59.5258036Z Entering 'third_party/ittapi' 2025-09-07T09:48:59.5711418Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T09:48:59.5732166Z Entering 'third_party/kineto' 2025-09-07T09:48:59.6157924Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-09-07T09:48:59.6177744Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:48:59.6642934Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-09-07T09:48:59.6661476Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:48:59.7045657Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-09-07T09:48:59.7066738Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:48:59.7386428Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T09:48:59.7406389Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:48:59.7803851Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-09-07T09:48:59.7824236Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:48:59.8102146Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-09-07T09:48:59.8120668Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:48:59.8576902Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2025-09-07T09:48:59.8598691Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:48:59.9046337Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T09:48:59.9066463Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:48:59.9437642Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:48:59.9458185Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:48:59.9916907Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2025-09-07T09:48:59.9937892Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:49:00.0309573Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2025-09-07T09:49:00.0331882Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:49:00.0788629Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2025-09-07T09:49:00.0808522Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:49:00.1230068Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T09:49:00.1252082Z Entering 'third_party/kleidiai' 2025-09-07T09:49:00.1668612Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-09-07T09:49:00.1689812Z Entering 'third_party/mimalloc' 2025-09-07T09:49:00.2151390Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T09:49:00.2178728Z Entering 'third_party/nlohmann' 2025-09-07T09:49:00.2613813Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T09:49:00.2642001Z Entering 'third_party/onnx' 2025-09-07T09:49:00.3089472Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T09:49:00.3129308Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:49:00.3504121Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T09:49:00.3537685Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:49:00.3815312Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T09:49:00.3846247Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:49:00.4314711Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T09:49:00.4336422Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:49:00.4796201Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:49:00.4816597Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:49:00.5245011Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T09:49:00.5264621Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:49:00.5722831Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T09:49:00.5744184Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:49:00.6126595Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T09:49:00.6151431Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:49:00.6609900Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2025-09-07T09:49:00.6639982Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:49:00.7084341Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2025-09-07T09:49:00.7103245Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:49:00.7474179Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2025-09-07T09:49:00.7497754Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:49:00.7965438Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-09-07T09:49:00.7989230Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:49:00.8385593Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T09:49:00.8425629Z Entering 'third_party/pocketfft' 2025-09-07T09:49:00.8821745Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T09:49:00.8844727Z Entering 'third_party/protobuf' 2025-09-07T09:49:00.9299759Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T09:49:00.9324241Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:49:00.9710126Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-09-07T09:49:00.9729822Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:49:01.0188675Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:49:01.0212398Z Entering 'third_party/psimd' 2025-09-07T09:49:01.0679235Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2025-09-07T09:49:01.0702017Z Entering 'third_party/pthreadpool' 2025-09-07T09:49:01.1123188Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2025-09-07T09:49:01.1145701Z Entering 'third_party/pybind11' 2025-09-07T09:49:01.1585867Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2025-09-07T09:49:01.1608606Z Entering 'third_party/python-peachpy' 2025-09-07T09:49:01.2077652Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2025-09-07T09:49:01.2100417Z Entering 'third_party/sleef' 2025-09-07T09:49:01.2489209Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2025-09-07T09:49:01.2512612Z Entering 'third_party/tensorpipe' 2025-09-07T09:49:01.2949016Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2025-09-07T09:49:01.2970293Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:49:01.3358470Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:49:01.3378160Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:49:01.3815883Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-09-07T09:49:01.3835483Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:49:01.4294413Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-09-07T09:49:01.4322579Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:49:01.4694034Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-09-07T09:49:01.4713442Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:49:01.5129247Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-09-07T09:49:02.8860677Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T09:49:02.9127044Z Entering 'android/libs/fbjni' 2025-09-07T09:49:02.9303995Z Entering 'third_party/FP16' 2025-09-07T09:49:02.9645682Z Entering 'third_party/FXdiv' 2025-09-07T09:49:03.0066269Z Entering 'third_party/NNPACK' 2025-09-07T09:49:03.0439138Z Entering 'third_party/NVTX' 2025-09-07T09:49:03.0863899Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:49:03.1343209Z Entering 'third_party/XNNPACK' 2025-09-07T09:49:03.1813379Z Entering 'third_party/aiter' 2025-09-07T09:49:03.2243727Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:49:03.2708227Z Entering 'third_party/benchmark' 2025-09-07T09:49:03.3048307Z Entering 'third_party/composable_kernel' 2025-09-07T09:49:03.3535902Z Entering 'third_party/cpp-httplib' 2025-09-07T09:49:03.3935127Z Entering 'third_party/cpuinfo' 2025-09-07T09:49:03.4288345Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:49:03.4768801Z Entering 'third_party/cutlass' 2025-09-07T09:49:03.5241541Z Entering 'third_party/fbgemm' 2025-09-07T09:49:03.5712868Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:49:03.6164495Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:49:03.6557808Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:49:03.7027088Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:49:03.7515541Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:49:03.7921176Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:49:03.8399598Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:49:03.8803135Z Entering 'third_party/flash-attention' 2025-09-07T09:49:03.9278728Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:49:03.9757404Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:49:04.0493588Z Entering 'third_party/flatbuffers' 2025-09-07T09:49:04.2191113Z Entering 'third_party/fmt' 2025-09-07T09:49:04.2233012Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:49:04.2656358Z Entering 'third_party/gloo' 2025-09-07T09:49:04.3097248Z Entering 'third_party/googletest' 2025-09-07T09:49:04.3467769Z Entering 'third_party/ideep' 2025-09-07T09:49:04.3949215Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:49:04.4372157Z Entering 'third_party/ittapi' 2025-09-07T09:49:04.4846126Z Entering 'third_party/kineto' 2025-09-07T09:49:04.5324890Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:49:04.5778220Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:49:04.6260764Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:49:04.6663298Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:49:04.6742792Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:49:04.6786352Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:49:04.7010701Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:49:04.7145451Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:49:04.7231469Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:49:04.7277407Z Entering 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'third_party/psimd' 2025-09-07T09:49:05.3218561Z Entering 'third_party/pthreadpool' 2025-09-07T09:49:05.3533961Z Entering 'third_party/pybind11' 2025-09-07T09:49:05.3999455Z Entering 'third_party/python-peachpy' 2025-09-07T09:49:05.4370372Z Entering 'third_party/sleef' 2025-09-07T09:49:05.4842141Z Entering 'third_party/tensorpipe' 2025-09-07T09:49:05.5347804Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:49:05.5766089Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:49:05.6241726Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:49:05.6716647Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:49:05.7159449Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:49:05.7574969Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-07T09:49:05.7834361Z Entering 'android/libs/fbjni' 2025-09-07T09:49:05.7924430Z Entering 'third_party/FP16' 2025-09-07T09:49:05.8407919Z Entering 'third_party/FXdiv' 2025-09-07T09:49:05.8887106Z Entering 'third_party/NNPACK' 2025-09-07T09:49:05.9280325Z Entering 'third_party/NVTX' 2025-09-07T09:49:05.9763674Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:49:06.0191918Z Entering 'third_party/XNNPACK' 2025-09-07T09:49:06.0663721Z Entering 'third_party/aiter' 2025-09-07T09:49:06.1073648Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:49:06.1552078Z Entering 'third_party/benchmark' 2025-09-07T09:49:06.2000228Z Entering 'third_party/composable_kernel' 2025-09-07T09:49:06.2468836Z Entering 'third_party/cpp-httplib' 2025-09-07T09:49:06.2848418Z Entering 'third_party/cpuinfo' 2025-09-07T09:49:06.3305722Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:49:06.3783502Z Entering 'third_party/cutlass' 2025-09-07T09:49:06.4200312Z Entering 'third_party/fbgemm' 2025-09-07T09:49:06.4663645Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:49:06.5005330Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:49:06.5474977Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:49:06.5881751Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:49:06.6334683Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:49:06.6777819Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:49:06.7154739Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:49:06.7631189Z Entering 'third_party/flash-attention' 2025-09-07T09:49:06.8072240Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:49:06.8391560Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:49:06.8808202Z Entering 'third_party/flatbuffers' 2025-09-07T09:49:06.9233345Z Entering 'third_party/fmt' 2025-09-07T09:49:06.9687197Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:49:07.0136391Z Entering 'third_party/gloo' 2025-09-07T09:49:07.0546707Z Entering 'third_party/googletest' 2025-09-07T09:49:07.1002950Z Entering 'third_party/ideep' 2025-09-07T09:49:07.1402909Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:49:07.1869631Z Entering 'third_party/ittapi' 2025-09-07T09:49:07.2323933Z Entering 'third_party/kineto' 2025-09-07T09:49:07.2735869Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:49:07.3203706Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:49:07.3666055Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:49:07.4152751Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:49:07.4623401Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:49:07.5027150Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:49:07.5486917Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:49:07.5959450Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:49:07.6385821Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:49:07.6837183Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:49:07.7239653Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:49:07.7700504Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:49:07.8165350Z Entering 'third_party/kleidiai' 2025-09-07T09:49:07.8578843Z Entering 'third_party/mimalloc' 2025-09-07T09:49:07.9039788Z Entering 'third_party/nlohmann' 2025-09-07T09:49:07.9512691Z Entering 'third_party/onnx' 2025-09-07T09:49:07.9924660Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:49:08.0349847Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:49:08.0738585Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:49:08.1148557Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:49:08.1563218Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:49:08.1999142Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:49:08.2469741Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:49:08.2913983Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:49:08.3392766Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:49:08.3834083Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:49:08.4236628Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:49:08.4715673Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:49:08.5189177Z Entering 'third_party/pocketfft' 2025-09-07T09:49:08.5599564Z Entering 'third_party/protobuf' 2025-09-07T09:49:08.6092215Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:49:08.6523565Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:49:08.6995255Z Entering 'third_party/psimd' 2025-09-07T09:49:08.7480166Z Entering 'third_party/pthreadpool' 2025-09-07T09:49:08.7880849Z Entering 'third_party/pybind11' 2025-09-07T09:49:08.8362860Z Entering 'third_party/python-peachpy' 2025-09-07T09:49:08.8844031Z Entering 'third_party/sleef' 2025-09-07T09:49:08.9290653Z Entering 'third_party/tensorpipe' 2025-09-07T09:49:08.9769472Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:49:09.0180402Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:49:09.0656432Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:49:09.2310876Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:49:09.2349410Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:49:09.2407793Z ##[endgroup] 2025-09-07T09:49:09.2447591Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T09:49:09.2473115Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:49:09.2769403Z Prepare all required actions 2025-09-07T09:49:09.2770122Z Getting action download info 2025-09-07T09:49:09.5471267Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T09:49:09.5471551Z env: 2025-09-07T09:49:09.5471745Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:09.5472192Z ##[endgroup] 2025-09-07T09:49:09.6380877Z ##[group]Run set -euo pipefail 2025-09-07T09:49:09.6381168Z set -euo pipefail 2025-09-07T09:49:09.6381385Z function get_ec2_metadata() { 2025-09-07T09:49:09.6381670Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T09:49:09.6382123Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T09:49:09.6382534Z  category=$1 2025-09-07T09:49:09.6382799Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T09:49:09.6383124Z  runner_name_str=i-0d3ed1ff3ccbeec77-1003 2025-09-07T09:49:09.6383404Z  if [[ -f /.inarc ]]; then 2025-09-07T09:49:09.6383657Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T09:49:09.6383925Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T09:49:09.6384257Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T09:49:09.6384565Z  else 2025-09-07T09:49:09.6385171Z  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}" 2025-09-07T09:49:09.6385816Z  fi 2025-09-07T09:49:09.6385970Z } 2025-09-07T09:49:09.6386167Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T09:49:09.6386470Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T09:49:09.6386806Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T09:49:09.6387097Z echo "system info $(uname -a)" 2025-09-07T09:49:09.6402966Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:09.6403247Z env: 2025-09-07T09:49:09.6403409Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:09.6403602Z ##[endgroup] 2025-09-07T09:49:09.6868881Z ami-id: ARC Runner, no info on ec2 metadata 2025-09-07T09:49:09.6874270Z instance-id: ARC Runner, no info on ec2 metadata 2025-09-07T09:49:09.6880061Z instance-type: ARC Runner, no info on ec2 metadata 2025-09-07T09:49:09.6891418Z system info Linux 89c80c18edd5 6.8.0-1018-aws #19~22.04.1-Ubuntu SMP Wed Oct 9 16:48:22 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T09:49:09.7769337Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:49:09.7770100Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:49:09.7784756Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:09.7785038Z env: 2025-09-07T09:49:09.7785193Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:09.7785382Z ##[endgroup] 2025-09-07T09:49:09.8699346Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T09:49:09.8699572Z with: 2025-09-07T09:49:09.8699727Z shell: bash 2025-09-07T09:49:09.8699907Z timeout_minutes: 5 2025-09-07T09:49:09.8700089Z max_attempts: 3 2025-09-07T09:49:09.8700264Z retry_wait_seconds: 30 2025-09-07T09:49:09.8702272Z command: AWS_ACCOUNT_ID=$(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 2025-09-07T09:49:09.8704079Z polling_interval_seconds: 1 2025-09-07T09:49:09.8704309Z warning_on_retry: true 2025-09-07T09:49:09.8704515Z continue_on_error: false 2025-09-07T09:49:09.8704711Z env: 2025-09-07T09:49:09.8705046Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:09.8705241Z AWS_RETRY_MODE: standard 2025-09-07T09:49:09.8705437Z AWS_MAX_ATTEMPTS: 5 2025-09-07T09:49:09.8705645Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T09:49:09.8705859Z ##[endgroup] 2025-09-07T09:49:11.2168699Z 2025-09-07T09:49:11.2169302Z WARNING! Your credentials are stored unencrypted in '/home/charlie/.docker/config.json'. 2025-09-07T09:49:11.2169836Z Configure a credential helper to remove this warning. See 2025-09-07T09:49:11.2170216Z https://docs.docker.com/go/credential-store/ 2025-09-07T09:49:11.2170429Z 2025-09-07T09:49:11.2170510Z Login Succeeded 2025-09-07T09:49:11.9443078Z Command completed after 1 attempt(s). 2025-09-07T09:49:11.9702584Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:49:11.9703006Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:49:11.9703352Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:49:11.9719163Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:11.9719454Z env: 2025-09-07T09:49:11.9719613Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:11.9719804Z ##[endgroup] 2025-09-07T09:49:12.0507972Z ##[group]Run set +e 2025-09-07T09:49:12.0508298Z set +e 2025-09-07T09:49:12.0508523Z set -x 2025-09-07T09:49:12.0508718Z  2025-09-07T09:49:12.0508928Z PT_DOMAIN=download.pytorch.org 2025-09-07T09:49:12.0509442Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T09:49:12.0510111Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T09:49:12.0510590Z # one is returned at random 2025-09-07T09:49:12.0510933Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T09:49:12.0511259Z  2025-09-07T09:49:12.0511455Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T09:49:12.0511838Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T09:49:12.0512284Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T09:49:12.0512630Z  2025-09-07T09:49:12.0512824Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T09:49:12.0513168Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T09:49:12.0513481Z  exit 1 2025-09-07T09:49:12.0513675Z  fi 2025-09-07T09:49:12.0513860Z fi 2025-09-07T09:49:12.0514038Z  2025-09-07T09:49:12.0514249Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T09:49:12.0514567Z  # Clean up any old records first 2025-09-07T09:49:12.0514881Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T09:49:12.0515159Z fi 2025-09-07T09:49:12.0515334Z  2025-09-07T09:49:12.0515599Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T09:49:12.0515947Z cat /etc/hosts 2025-09-07T09:49:12.0531477Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:12.0531757Z env: 2025-09-07T09:49:12.0531916Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:12.0532104Z ##[endgroup] 2025-09-07T09:49:12.0985345Z + PT_DOMAIN=download.pytorch.org 2025-09-07T09:49:12.0991997Z ++ dig -4 +short download.pytorch.org 2025-09-07T09:49:12.0993157Z ++ tail -n1 2025-09-07T09:49:12.1478710Z + RESOLVED_IP=18.160.10.22 2025-09-07T09:49:12.1479017Z + '[' -z 18.160.10.22 ']' 2025-09-07T09:49:12.1479329Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T09:49:12.1495016Z + echo '18.160.10.22 download.pytorch.org' 2025-09-07T09:49:12.1496413Z + sudo tee -a /etc/hosts 2025-09-07T09:49:12.1559314Z 18.160.10.22 download.pytorch.org 2025-09-07T09:49:12.1567773Z + cat /etc/hosts 2025-09-07T09:49:12.1575558Z 127.0.0.1 localhost 2025-09-07T09:49:12.1580377Z ::1 localhost ip6-localhost ip6-loopback 2025-09-07T09:49:12.1580680Z fe00:: ip6-localnet 2025-09-07T09:49:12.1581125Z ff00:: ip6-mcastprefix 2025-09-07T09:49:12.1581313Z ff02::1 ip6-allnodes 2025-09-07T09:49:12.1581489Z ff02::2 ip6-allrouters 2025-09-07T09:49:12.1581670Z 172.17.0.2 89c80c18edd5 2025-09-07T09:49:12.1581869Z 18.160.10.22 download.pytorch.org 2025-09-07T09:49:12.1830773Z ##[group]Run set +x 2025-09-07T09:49:12.1831008Z set +x 2025-09-07T09:49:12.1831199Z  2025-09-07T09:49:12.1831392Z max_attempts=30 2025-09-07T09:49:12.1831615Z delay=10 2025-09-07T09:49:12.1831811Z attempt=1 2025-09-07T09:49:12.1832010Z  2025-09-07T09:49:12.1832224Z for attempt in $(seq 1 $max_attempts); do 2025-09-07T09:49:12.1832685Z  echo "Attempt $attempt of $max_attempts: Checking if Docker daemon is running..." 2025-09-07T09:49:12.1833124Z  if docker info > /dev/null 2>&1; then 2025-09-07T09:49:12.1833488Z  echo "Docker is running. Proceeding with the next steps" 2025-09-07T09:49:12.1833822Z  exit 0 2025-09-07T09:49:12.1834024Z  else 2025-09-07T09:49:12.1834245Z  echo "Docker is not running yet." 2025-09-07T09:49:12.1834551Z  echo "Retrying in $delay seconds..." 2025-09-07T09:49:12.1834839Z  sleep $delay 2025-09-07T09:49:12.1835052Z  fi 2025-09-07T09:49:12.1835233Z done 2025-09-07T09:49:12.1835532Z echo "Reached maximum attempts to connect to Docker. Exiting." 2025-09-07T09:49:12.1835889Z exit 1 2025-09-07T09:49:12.1850825Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:12.1851095Z env: 2025-09-07T09:49:12.1851254Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:12.1851441Z ##[endgroup] 2025-09-07T09:49:12.2323482Z Attempt 1 of 30: Checking if Docker daemon is running... 2025-09-07T09:49:12.2743810Z Docker is running. Proceeding with the next steps 2025-09-07T09:49:12.3230066Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T09:49:12.3230458Z with: 2025-09-07T09:49:12.3231182Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:49:12.3231968Z use-custom-docker-registry: true 2025-09-07T09:49:12.3232207Z docker-build-dir: .ci/docker 2025-09-07T09:49:12.3232431Z docker-build-script: ./build.sh 2025-09-07T09:49:12.3232661Z working-directory: . 2025-09-07T09:49:12.3232922Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:49:12.3233234Z force-push: false 2025-09-07T09:49:12.3233419Z env: 2025-09-07T09:49:12.3233572Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:12.3233765Z ##[endgroup] 2025-09-07T09:49:12.3681026Z ##[group]Run set -ex 2025-09-07T09:49:12.3681321Z set -ex 2025-09-07T09:49:12.3681541Z  2025-09-07T09:49:12.3681887Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T09:49:12.3682447Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T09:49:12.3682906Z # job could then download the pre-built image as usual 2025-09-07T09:49:12.3683461Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T09:49:12.3683994Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T09:49:12.3684263Z else 2025-09-07T09:49:12.3684471Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T09:49:12.3684828Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:49:12.3685152Z  2025-09-07T09:49:12.3685650Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T09:49:12.3686172Z  exit 0 2025-09-07T09:49:12.3686345Z fi 2025-09-07T09:49:12.3686718Z  2025-09-07T09:49:12.3687030Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T09:49:12.3687673Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T09:49:12.3688104Z  # use it as it is, but first let's extract the tag 2025-09-07T09:49:12.3688492Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T09:49:12.3688873Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:49:12.3689228Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:49:12.3689512Z else 2025-09-07T09:49:12.3689710Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T09:49:12.3689989Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T09:49:12.3690286Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T09:49:12.3690519Z  fi 2025-09-07T09:49:12.3690845Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T09:49:12.3691265Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:49:12.3691771Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:49:12.3692260Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:49:12.3692559Z fi 2025-09-07T09:49:12.3706899Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:12.3707182Z env: 2025-09-07T09:49:12.3707496Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:12.3707696Z REPO_NAME: pytorch 2025-09-07T09:49:12.3708615Z 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 2025-09-07T09:49:12.3709351Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T09:49:12.3709573Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T09:49:12.3709861Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:49:12.3710154Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T09:49:12.3710362Z CUSTOM_TAG_PREFIX: 2025-09-07T09:49:12.3710533Z ##[endgroup] 2025-09-07T09:49:12.4153855Z + [[ -d .ci/docker ]] 2025-09-07T09:49:12.4154102Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T09:49:12.4154350Z + [[ true == \t\r\u\e ]] 2025-09-07T09:49:12.4154565Z + echo skip=false 2025-09-07T09:49:12.4155627Z + [[ 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* ]] 2025-09-07T09:49:12.4162186Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:49:12.4163174Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T09:49:12.4178701Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:49:12.4179589Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:49:12.4180639Z + 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 2025-09-07T09:49:12.5060894Z ##[group]Run set +e 2025-09-07T09:49:12.5061133Z set +e 2025-09-07T09:49:12.5061314Z set -x 2025-09-07T09:49:12.5061485Z  2025-09-07T09:49:12.5061647Z login() { 2025-09-07T09:49:12.5062045Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T09:49:12.5062470Z } 2025-09-07T09:49:12.5062808Z  2025-09-07T09:49:12.5062967Z retry () { 2025-09-07T09:49:12.5063183Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T09:49:12.5063435Z } 2025-09-07T09:49:12.5063611Z  2025-09-07T09:49:12.5063794Z retry login "${DOCKER_REGISTRY}" 2025-09-07T09:49:12.5064040Z  2025-09-07T09:49:12.5064214Z START_TIME=$(date +%s) 2025-09-07T09:49:12.5064447Z # Wait up to 120 minutes 2025-09-07T09:49:12.5064731Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T09:49:12.5065124Z  # Check if image already exists, if it does then skip building it 2025-09-07T09:49:12.5065512Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T09:49:12.5065799Z  exit 0 2025-09-07T09:49:12.5065986Z  fi 2025-09-07T09:49:12.5066157Z  2025-09-07T09:49:12.5066466Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T09:49:12.5067008Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T09:49:12.5067694Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T09:49:12.5068109Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T09:49:12.5068438Z  # It's a Docker build job, let's build the image 2025-09-07T09:49:12.5068718Z  break 2025-09-07T09:49:12.5068887Z  else 2025-09-07T09:49:12.5069130Z  # It's a regular build job, wait for the image to become available 2025-09-07T09:49:12.5069414Z  sleep 300 2025-09-07T09:49:12.5069592Z  fi 2025-09-07T09:49:12.5069745Z done 2025-09-07T09:49:12.5069892Z  2025-09-07T09:49:12.5070306Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T09:49:12.5070719Z # be empty. The default action would be to continue rebuild the image 2025-09-07T09:49:12.5071081Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T09:49:12.5071404Z  # if we're on the base branch then use the parent commit 2025-09-07T09:49:12.5071702Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T09:49:12.5071918Z else 2025-09-07T09:49:12.5072146Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T09:49:12.5072474Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T09:49:12.5072732Z fi 2025-09-07T09:49:12.5072877Z  2025-09-07T09:49:12.5073043Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T09:49:12.5073289Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T09:49:12.5073516Z  2025-09-07T09:49:12.5073832Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T09:49:12.5074220Z  exit 0 2025-09-07T09:49:12.5074386Z fi 2025-09-07T09:49:12.5074533Z  2025-09-07T09:49:12.5074739Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T09:49:12.5075213Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T09:49:12.5075611Z  exit 1 2025-09-07T09:49:12.5075765Z fi 2025-09-07T09:49:12.5075911Z  2025-09-07T09:49:12.5076158Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T09:49:12.5076608Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T09:49:12.5077015Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T09:49:12.5077657Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T09:49:12.5078362Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T09:49:12.5078675Z fi 2025-09-07T09:49:12.5078823Z  2025-09-07T09:49:12.5079006Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T09:49:12.5093081Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:12.5093359Z env: 2025-09-07T09:49:12.5093513Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:12.5093723Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T09:49:12.5093988Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:49:12.5094823Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:49:12.5095837Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:49:12.5096415Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:49:12.5096702Z DOCKER_PUSH: 2025-09-07T09:49:12.5096875Z ##[endgroup] 2025-09-07T09:49:12.5546829Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:49:12.5547194Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:49:12.5550125Z + aws ecr get-login-password --region us-east-1 2025-09-07T09:49:12.5551484Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:49:13.2499249Z 2025-09-07T09:49:13.2499731Z Login Succeeded 2025-09-07T09:49:13.2500198Z WARNING! Your credentials are stored unencrypted in '/home/charlie/.docker/config.json'. 2025-09-07T09:49:13.2500724Z Configure a credential helper to remove this warning. See 2025-09-07T09:49:13.2501111Z https://docs.docker.com/go/credential-store/ 2025-09-07T09:49:13.2501330Z 2025-09-07T09:49:13.2523137Z ++ date +%s 2025-09-07T09:49:13.2533972Z + START_TIME=1757238553 2025-09-07T09:49:13.2538370Z ++ date +%s 2025-09-07T09:49:13.2549156Z + [[ 1757231353 -lt 1757238553 ]] 2025-09-07T09:49:13.2550061Z + 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 2025-09-07T09:49:13.4428979Z { 2025-09-07T09:49:13.4442305Z "schemaVersion": 2, 2025-09-07T09:49:13.4442774Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T09:49:13.4443146Z "config": { 2025-09-07T09:49:13.4443429Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T09:49:13.4443773Z "size": 31375, 2025-09-07T09:49:13.4444123Z "digest": "sha256:29d1d8a31b215537637bab7c99e18c255840b899cf7023e4e3cb5efa3270aef8" 2025-09-07T09:49:13.4444515Z }, 2025-09-07T09:49:13.4444670Z "layers": [ 2025-09-07T09:49:13.4444827Z { 2025-09-07T09:49:13.4445100Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4445438Z "size": 30448359, 2025-09-07T09:49:13.4445801Z "digest": "sha256:e6fdc8487bfe6d764301ef3634bc6c043841dc3ab05ca14f81e69c0f92562d46" 2025-09-07T09:49:13.4446176Z }, 2025-09-07T09:49:13.4446324Z { 2025-09-07T09:49:13.4446591Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4446921Z "size": 1554, 2025-09-07T09:49:13.4447777Z "digest": "sha256:171dcef20c49de4bc9268f60e02f111b72c638b0f24c3c5636c5013029db6d30" 2025-09-07T09:49:13.4448179Z }, 2025-09-07T09:49:13.4448325Z { 2025-09-07T09:49:13.4448583Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4448914Z "size": 313297922, 2025-09-07T09:49:13.4449258Z "digest": "sha256:4c92b3f72f1df31fe9f487fc1c27fcf1ba475ffb43abd69056306d1247786e40" 2025-09-07T09:49:13.4449614Z }, 2025-09-07T09:49:13.4449747Z { 2025-09-07T09:49:13.4449973Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4450262Z "size": 792, 2025-09-07T09:49:13.4450547Z "digest": "sha256:744f9ba90a6582eb601b3c20409bb10d6dad635dd118c3975f79721f4c82747c" 2025-09-07T09:49:13.4451225Z }, 2025-09-07T09:49:13.4451354Z { 2025-09-07T09:49:13.4451588Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4451885Z "size": 106, 2025-09-07T09:49:13.4452170Z "digest": "sha256:d3c08322a3326e45849dd80264a047c4f42ba4a2419d35c919542e2890e23934" 2025-09-07T09:49:13.4452492Z }, 2025-09-07T09:49:13.4452628Z { 2025-09-07T09:49:13.4452860Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4453148Z "size": 704, 2025-09-07T09:49:13.4453447Z "digest": "sha256:ffd43b71f3ccf3ba563606231cb1d191eb9dd0052f422d54835e6af350525170" 2025-09-07T09:49:13.4453778Z }, 2025-09-07T09:49:13.4453912Z { 2025-09-07T09:49:13.4454148Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4454434Z "size": 1215, 2025-09-07T09:49:13.4454851Z "digest": "sha256:830692b57f6e2758398ec80c3b67a20441d12696b54ed14f2ecebf926198f7d6" 2025-09-07T09:49:13.4455188Z }, 2025-09-07T09:49:13.4455333Z { 2025-09-07T09:49:13.4455553Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4455850Z "size": 482, 2025-09-07T09:49:13.4456132Z "digest": "sha256:5bad36d184686719399be50830a98939d7dbda2313fb407df5915217483fc6a3" 2025-09-07T09:49:13.4456454Z }, 2025-09-07T09:49:13.4456580Z { 2025-09-07T09:49:13.4456797Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4457090Z "size": 110343614, 2025-09-07T09:49:13.4457537Z "digest": "sha256:0e34fdd9ac5c39eb0a9d2c2d258b26f42bb79d7dc0a22014bf201daa2e033eb4" 2025-09-07T09:49:13.4457860Z }, 2025-09-07T09:49:13.4457990Z { 2025-09-07T09:49:13.4458206Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4458491Z "size": 4786, 2025-09-07T09:49:13.4458972Z "digest": "sha256:3c868a62868ef54f82ac11be8dabe1b4365d000bacfe4c104e08022fc96dd767" 2025-09-07T09:49:13.4459313Z }, 2025-09-07T09:49:13.4459457Z { 2025-09-07T09:49:13.4459676Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4459947Z "size": 1710, 2025-09-07T09:49:13.4460223Z "digest": "sha256:62170a22dd571d55ffccac64c0be17f4006d2498cfbf7c6289325f0899cba005" 2025-09-07T09:49:13.4460544Z }, 2025-09-07T09:49:13.4460681Z { 2025-09-07T09:49:13.4460900Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4461181Z "size": 724, 2025-09-07T09:49:13.4461467Z "digest": "sha256:553c1d23b6c4dbd8ab136d0c3659460391ffa14cb9b43be9d7b2f47f90895697" 2025-09-07T09:49:13.4461844Z }, 2025-09-07T09:49:13.4461985Z { 2025-09-07T09:49:13.4462214Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 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"sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T09:49:13.4540924Z }, 2025-09-07T09:49:13.4541191Z { 2025-09-07T09:49:13.4541549Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4541937Z "size": 104, 2025-09-07T09:49:13.4542312Z "digest": "sha256:951e8ce838415c4257680a9d60d216f3750cbb18d243d9a21e2008cce7e589cf" 2025-09-07T09:49:13.4542764Z }, 2025-09-07T09:49:13.4542987Z { 2025-09-07T09:49:13.4543372Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4543713Z "size": 408, 2025-09-07T09:49:13.4544103Z "digest": "sha256:32340b97ae50ba7b2918ab40d6f4a8db875afee69318f484e4deb0a1e2ec4beb" 2025-09-07T09:49:13.4544577Z }, 2025-09-07T09:49:13.4544794Z { 2025-09-07T09:49:13.4545071Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4545528Z "size": 32, 2025-09-07T09:49:13.4545904Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T09:49:13.4546331Z }, 2025-09-07T09:49:13.4546589Z { 2025-09-07T09:49:13.4546923Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4547424Z "size": 109, 2025-09-07T09:49:13.4547738Z "digest": "sha256:5bbb04cd6b57ae13d7cf05ab9e9b4ed9752833ee2dba4eeaac47bde6022c4725" 2025-09-07T09:49:13.4548074Z }, 2025-09-07T09:49:13.4548208Z { 2025-09-07T09:49:13.4548445Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4548727Z "size": 1897, 2025-09-07T09:49:13.4549021Z "digest": "sha256:d8c4b845cfc7ca7cc0604f472bf6da8b1f1d4e98dff3c76e1985a7013a5b9e3f" 2025-09-07T09:49:13.4549361Z }, 2025-09-07T09:49:13.4549494Z { 2025-09-07T09:49:13.4549721Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4550171Z "size": 243440375, 2025-09-07T09:49:13.4550468Z "digest": "sha256:b35c180f4d8ddc2396eac4a6b893f438481a8163ceb0b88f203488bc5f2a8ba4" 2025-09-07T09:49:13.4550789Z }, 2025-09-07T09:49:13.4550929Z { 2025-09-07T09:49:13.4551152Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4551435Z "size": 106, 2025-09-07T09:49:13.4551707Z "digest": "sha256:5f967b3c303a99e609441551f7c8988cca4fd464c0c3127506bff8509583091b" 2025-09-07T09:49:13.4552029Z }, 2025-09-07T09:49:13.4552162Z { 2025-09-07T09:49:13.4552395Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4552674Z "size": 166, 2025-09-07T09:49:13.4552940Z "digest": "sha256:04770904f012e5584f1c19a0bc92d9863baaebf08bf75b4a9981f2b7795c8953" 2025-09-07T09:49:13.4553255Z }, 2025-09-07T09:49:13.4553390Z { 2025-09-07T09:49:13.4553607Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4553906Z "size": 7943, 2025-09-07T09:49:13.4554188Z "digest": "sha256:73373941fb321b4cb4a171b1423a68a4c7fedada3a1498868d7efe93cb03170e" 2025-09-07T09:49:13.4554506Z }, 2025-09-07T09:49:13.4554637Z { 2025-09-07T09:49:13.4554849Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4555135Z "size": 8072, 2025-09-07T09:49:13.4555424Z "digest": "sha256:9572e6cd907bfa4888456dbccc6e22146a0044374585f3fa0a8ced19b831ed62" 2025-09-07T09:49:13.4555749Z }, 2025-09-07T09:49:13.4555889Z { 2025-09-07T09:49:13.4556108Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4556405Z "size": 304, 2025-09-07T09:49:13.4556686Z "digest": "sha256:64a544aba233551e38898f138dd6ba3161ccdb9554e0ffb5b9d8f0f7fe4a7fa8" 2025-09-07T09:49:13.4557001Z }, 2025-09-07T09:49:13.4557133Z { 2025-09-07T09:49:13.4557645Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4557949Z "size": 13362696, 2025-09-07T09:49:13.4558233Z "digest": "sha256:7e35418a24997de5428763c93826679486760a1a9563209ae64de66ba45f99c1" 2025-09-07T09:49:13.4558558Z }, 2025-09-07T09:49:13.4558695Z { 2025-09-07T09:49:13.4558917Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4559194Z "size": 108, 2025-09-07T09:49:13.4559471Z "digest": "sha256:2ed8e82748d4a1131f41d9e41322f47a6ffef67a5a2b7bf5392237db5c035c61" 2025-09-07T09:49:13.4559808Z }, 2025-09-07T09:49:13.4559958Z { 2025-09-07T09:49:13.4560174Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4560469Z "size": 54145663, 2025-09-07T09:49:13.4560766Z "digest": "sha256:c988fbcccd708fb158a81c429d32e1060a7e40924fc3c987c629fa69d9484717" 2025-09-07T09:49:13.4561091Z }, 2025-09-07T09:49:13.4561233Z { 2025-09-07T09:49:13.4561462Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:49:13.4561744Z "size": 32, 2025-09-07T09:49:13.4562025Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T09:49:13.4562351Z } 2025-09-07T09:49:13.4562487Z ] 2025-09-07T09:49:13.4562620Z } 2025-09-07T09:49:13.4562761Z + exit 0 2025-09-07T09:49:13.4886772Z ##[group]Run set -eux 2025-09-07T09:49:13.4886998Z set -eux 2025-09-07T09:49:13.4887507Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T09:49:13.4888434Z 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 2025-09-07T09:49:13.4904354Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:13.4904641Z env: 2025-09-07T09:49:13.4904807Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:13.4905010Z ##[endgroup] 2025-09-07T09:49:13.5392543Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T09:49:13.5393287Z + jq --raw-output .SecretString 2025-09-07T09:49:13.5395701Z + jq -r .docker_hub_readonly_token 2025-09-07T09:49:13.5396509Z + docker login --username pytorchbot --password-stdin 2025-09-07T09:49:14.2916650Z 2025-09-07T09:49:14.2916909Z Login Succeeded 2025-09-07T09:49:14.2917918Z WARNING! Your credentials are stored unencrypted in '/home/charlie/.docker/config.json'. 2025-09-07T09:49:14.2918816Z Configure a credential helper to remove this warning. See 2025-09-07T09:49:14.2919470Z https://docs.docker.com/go/credential-store/ 2025-09-07T09:49:14.2919821Z 2025-09-07T09:49:14.3460418Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T09:49:14.3460761Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T09:49:14.3461104Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T09:49:14.3476585Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:14.3476867Z env: 2025-09-07T09:49:14.3477028Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:14.3477889Z 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 2025-09-07T09:49:14.3478642Z ##[endgroup] 2025-09-07T09:49:14.3945923Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:49:14.4388258Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T09:49:14.4388663Z with: 2025-09-07T09:49:14.4389475Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:49:14.4390360Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:49:14.4390640Z env: 2025-09-07T09:49:14.4390795Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:14.4390992Z ##[endgroup] 2025-09-07T09:49:14.5849781Z ##[group]Run set -x 2025-09-07T09:49:14.5849991Z set -x 2025-09-07T09:49:14.5850153Z set +e 2025-09-07T09:49:14.5850302Z  2025-09-07T09:49:14.5850471Z login() { 2025-09-07T09:49:14.5850823Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T09:49:14.5851190Z } 2025-09-07T09:49:14.5851334Z  2025-09-07T09:49:14.5851511Z retry () { 2025-09-07T09:49:14.5851705Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T09:49:14.5851925Z } 2025-09-07T09:49:14.5852078Z  2025-09-07T09:49:14.5852247Z retry login "${DOCKER_REGISTRY}" 2025-09-07T09:49:14.5852462Z  2025-09-07T09:49:14.5852798Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T09:49:14.5853265Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T09:49:14.5853529Z  2025-09-07T09:49:14.5853676Z set -e 2025-09-07T09:49:14.5853934Z # ignore output since only exit code is used for conditional 2025-09-07T09:49:14.5854281Z # only pull docker image if it's not available locally 2025-09-07T09:49:14.5854667Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T09:49:14.5855112Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T09:49:14.5855342Z fi 2025-09-07T09:49:14.5869755Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:14.5870042Z env: 2025-09-07T09:49:14.5870208Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:14.5870895Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:49:14.5871660Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:49:14.5871934Z ##[endgroup] 2025-09-07T09:49:14.6344358Z + set +e 2025-09-07T09:49:14.6344853Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:49:14.6345233Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:49:14.6347753Z + aws ecr get-login-password --region us-east-1 2025-09-07T09:49:14.6350746Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:49:15.3150189Z 2025-09-07T09:49:15.3150958Z WARNING! Your credentials are stored unencrypted in '/home/charlie/.docker/config.json'. 2025-09-07T09:49:15.3151853Z Configure a credential helper to remove this warning. See 2025-09-07T09:49:15.3152539Z https://docs.docker.com/go/credential-store/ 2025-09-07T09:49:15.3152887Z 2025-09-07T09:49:15.3153024Z Login Succeeded 2025-09-07T09:49:15.3181520Z ++ 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 2025-09-07T09:49:15.3182497Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T09:49:15.5370265Z + IMAGE_SIZE=36183.606596946716 2025-09-07T09:49:15.5370608Z + echo 'Compressed size of image in MB: 36183.606596946716' 2025-09-07T09:49:15.5370921Z + set -e 2025-09-07T09:49:15.5372134Z + 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 2025-09-07T09:49:15.5373049Z Compressed size of image in MB: 36183.606596946716 2025-09-07T09:49:15.5487918Z + 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 2025-09-07T09:49:15.5489479Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:49:16.9034754Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T09:49:16.9036048Z e6fdc8487bfe: Pulling fs layer 2025-09-07T09:49:16.9036481Z 171dcef20c49: Pulling fs layer 2025-09-07T09:49:16.9036923Z 4c92b3f72f1d: Pulling fs layer 2025-09-07T09:49:16.9037949Z 744f9ba90a65: Pulling fs layer 2025-09-07T09:49:16.9038357Z d3c08322a332: Pulling fs layer 2025-09-07T09:49:16.9038744Z ffd43b71f3cc: Pulling fs layer 2025-09-07T09:49:16.9039117Z 830692b57f6e: Pulling fs layer 2025-09-07T09:49:16.9039559Z 5bad36d18468: Pulling fs layer 2025-09-07T09:49:16.9040051Z 0e34fdd9ac5c: Pulling fs layer 2025-09-07T09:49:16.9040422Z 3c868a62868e: Pulling fs layer 2025-09-07T09:49:16.9040647Z 62170a22dd57: Pulling fs layer 2025-09-07T09:49:16.9040873Z 553c1d23b6c4: Pulling fs layer 2025-09-07T09:49:16.9041116Z 744f9ba90a65: Waiting 2025-09-07T09:49:16.9041321Z d3c08322a332: Waiting 2025-09-07T09:49:16.9041524Z ffd43b71f3cc: Waiting 2025-09-07T09:49:16.9041714Z 830692b57f6e: Waiting 2025-09-07T09:49:16.9041916Z 5bad36d18468: Waiting 2025-09-07T09:49:16.9042121Z 9408d557a804: Pulling fs layer 2025-09-07T09:49:16.9042346Z 0e34fdd9ac5c: Waiting 2025-09-07T09:49:16.9042545Z df607cfc7c07: Pulling fs layer 2025-09-07T09:49:16.9042767Z 3c868a62868e: Waiting 2025-09-07T09:49:16.9042972Z 62170a22dd57: Waiting 2025-09-07T09:49:16.9043178Z 4f4fb700ef54: Pulling fs layer 2025-09-07T09:49:16.9043406Z 9408d557a804: Waiting 2025-09-07T09:49:16.9043611Z 40a8e39faeda: Pulling fs layer 2025-09-07T09:49:16.9043847Z d895771c9fac: Pulling fs layer 2025-09-07T09:49:16.9044073Z c4ee04f39d49: Pulling fs layer 2025-09-07T09:49:16.9044303Z 3690c9826e48: Pulling fs layer 2025-09-07T09:49:16.9044534Z 57cbc5013733: Pulling fs layer 2025-09-07T09:49:16.9044762Z 40a8e39faeda: Waiting 2025-09-07T09:49:16.9045007Z f5f4b06b58bb: Pulling fs layer 2025-09-07T09:49:16.9045231Z df607cfc7c07: Waiting 2025-09-07T09:49:16.9045423Z d895771c9fac: Waiting 2025-09-07T09:49:16.9045618Z 4f4fb700ef54: Waiting 2025-09-07T09:49:16.9045831Z f59713ce4bf4: Pulling fs layer 2025-09-07T09:49:16.9046391Z c4ee04f39d49: Waiting 2025-09-07T09:49:16.9046599Z fe0486521517: Pulling fs layer 2025-09-07T09:49:16.9046832Z 8c21cc3715a2: Pulling fs layer 2025-09-07T09:49:16.9047061Z 57cbc5013733: Waiting 2025-09-07T09:49:16.9047248Z fe0486521517: Waiting 2025-09-07T09:49:16.9047613Z f59713ce4bf4: Waiting 2025-09-07T09:49:16.9047824Z d37c58456a6a: Pulling fs layer 2025-09-07T09:49:16.9048058Z d042f63abc13: Pulling fs layer 2025-09-07T09:49:16.9048286Z 553c1d23b6c4: Waiting 2025-09-07T09:49:16.9048489Z d37c58456a6a: Waiting 2025-09-07T09:49:16.9048689Z 8c21cc3715a2: Waiting 2025-09-07T09:49:16.9048892Z 621284a9c05a: Pulling fs layer 2025-09-07T09:49:16.9049110Z 3690c9826e48: Waiting 2025-09-07T09:49:16.9049309Z 85f605d2dd3a: Pulling fs layer 2025-09-07T09:49:16.9049541Z 381b5539e598: Pulling fs layer 2025-09-07T09:49:16.9049768Z a487c0c80029: Pulling fs layer 2025-09-07T09:49:16.9049969Z 85f605d2dd3a: Waiting 2025-09-07T09:49:16.9050128Z d042f63abc13: Waiting 2025-09-07T09:49:16.9050290Z 381b5539e598: Waiting 2025-09-07T09:49:16.9050459Z 48bcb81e2566: Pulling fs layer 2025-09-07T09:49:16.9050638Z a487c0c80029: Waiting 2025-09-07T09:49:16.9050796Z 621284a9c05a: Waiting 2025-09-07T09:49:16.9050953Z 48bcb81e2566: Waiting 2025-09-07T09:49:16.9051115Z e261928c0043: Pulling fs layer 2025-09-07T09:49:16.9051293Z 0fea55428091: Pulling fs layer 2025-09-07T09:49:16.9051687Z b4291bccbb84: Pulling fs layer 2025-09-07T09:49:16.9051891Z ddc91b09189a: Pulling fs layer 2025-09-07T09:49:16.9052073Z e261928c0043: Waiting 2025-09-07T09:49:16.9052225Z 0fea55428091: Waiting 2025-09-07T09:49:16.9052390Z 7540c7428627: Pulling fs layer 2025-09-07T09:49:16.9052567Z 7540c7428627: Waiting 2025-09-07T09:49:16.9052729Z 003c4e2598fb: Pulling fs layer 2025-09-07T09:49:16.9052920Z 5687149362ae: Pulling fs layer 2025-09-07T09:49:16.9053100Z ddc91b09189a: Waiting 2025-09-07T09:49:16.9053270Z cdd2cf54eb2a: Pulling fs layer 2025-09-07T09:49:16.9053462Z 003c4e2598fb: Waiting 2025-09-07T09:49:16.9053635Z d3ad4df1ba3a: Pulling fs layer 2025-09-07T09:49:16.9053825Z 5687149362ae: Waiting 2025-09-07T09:49:16.9053991Z 3c9055753b4c: Pulling fs layer 2025-09-07T09:49:16.9054167Z cdd2cf54eb2a: Waiting 2025-09-07T09:49:16.9054337Z d3ad4df1ba3a: Waiting 2025-09-07T09:49:16.9054512Z 31cf8d0bd21c: Pulling fs layer 2025-09-07T09:49:16.9054804Z b4291bccbb84: Waiting 2025-09-07T09:49:16.9054975Z 3c9055753b4c: Waiting 2025-09-07T09:49:16.9055140Z 6623ea814971: Pulling fs layer 2025-09-07T09:49:16.9055324Z 31cf8d0bd21c: Waiting 2025-09-07T09:49:16.9055487Z 11696c3aa380: Pulling fs layer 2025-09-07T09:49:16.9055668Z ef4d544e35ca: Pulling fs layer 2025-09-07T09:49:16.9055858Z 5c5108865e5e: Pulling fs layer 2025-09-07T09:49:16.9056036Z 6623ea814971: Waiting 2025-09-07T09:49:16.9056191Z f5f4b06b58bb: Waiting 2025-09-07T09:49:16.9056346Z ef4d544e35ca: Waiting 2025-09-07T09:49:16.9056502Z 11696c3aa380: Waiting 2025-09-07T09:49:16.9056665Z 9e97578e9edf: Pulling fs layer 2025-09-07T09:49:16.9056853Z da5a91b54cb5: Pulling fs layer 2025-09-07T09:49:16.9057032Z 5c5108865e5e: Waiting 2025-09-07T09:49:16.9057212Z 1e93be219e89: Pulling fs layer 2025-09-07T09:49:16.9057596Z 136825afebb5: Pulling fs layer 2025-09-07T09:49:16.9057777Z 1e93be219e89: Waiting 2025-09-07T09:49:16.9057932Z 9e97578e9edf: Waiting 2025-09-07T09:49:16.9058094Z da5a91b54cb5: Waiting 2025-09-07T09:49:16.9058271Z 22b39805302d: Pulling fs layer 2025-09-07T09:49:16.9058463Z d12add675e35: Pulling fs layer 2025-09-07T09:49:16.9058658Z bc127046d33a: Pulling fs layer 2025-09-07T09:49:16.9058842Z 951e8ce83841: Pulling fs layer 2025-09-07T09:49:16.9059027Z 32340b97ae50: Pulling fs layer 2025-09-07T09:49:16.9059199Z 136825afebb5: Waiting 2025-09-07T09:49:16.9059366Z bc127046d33a: Waiting 2025-09-07T09:49:16.9059530Z 951e8ce83841: Waiting 2025-09-07T09:49:16.9059698Z d12add675e35: Waiting 2025-09-07T09:49:16.9059864Z 22b39805302d: Waiting 2025-09-07T09:49:16.9060028Z 32340b97ae50: Waiting 2025-09-07T09:49:16.9060198Z 5bbb04cd6b57: Pulling fs layer 2025-09-07T09:49:16.9060399Z 5bbb04cd6b57: Waiting 2025-09-07T09:49:16.9060799Z d8c4b845cfc7: Pulling fs layer 2025-09-07T09:49:16.9060995Z b35c180f4d8d: Pulling fs layer 2025-09-07T09:49:16.9061186Z 5f967b3c303a: Pulling fs layer 2025-09-07T09:49:16.9061375Z 04770904f012: Pulling fs layer 2025-09-07T09:49:16.9061554Z 73373941fb32: Pulling fs layer 2025-09-07T09:49:16.9061741Z 9572e6cd907b: Pulling fs layer 2025-09-07T09:49:16.9061949Z 64a544aba233: Pulling fs layer 2025-09-07T09:49:16.9062136Z d8c4b845cfc7: Waiting 2025-09-07T09:49:16.9062294Z 9572e6cd907b: Waiting 2025-09-07T09:49:16.9062452Z 04770904f012: Waiting 2025-09-07T09:49:16.9062616Z 7e35418a2499: Pulling fs layer 2025-09-07T09:49:16.9062806Z 2ed8e82748d4: Pulling fs layer 2025-09-07T09:49:16.9062983Z b35c180f4d8d: Waiting 2025-09-07T09:49:16.9063149Z 64a544aba233: Waiting 2025-09-07T09:49:16.9063318Z c988fbcccd70: Pulling fs layer 2025-09-07T09:49:16.9063511Z 7e35418a2499: Waiting 2025-09-07T09:49:16.9063676Z 2ed8e82748d4: Waiting 2025-09-07T09:49:16.9063838Z c988fbcccd70: Waiting 2025-09-07T09:49:16.9064004Z 73373941fb32: Waiting 2025-09-07T09:49:16.9064178Z 5f967b3c303a: Waiting 2025-09-07T09:49:16.9827427Z 171dcef20c49: Verifying Checksum 2025-09-07T09:49:16.9827720Z 171dcef20c49: Download complete 2025-09-07T09:49:17.0612974Z 744f9ba90a65: Verifying Checksum 2025-09-07T09:49:17.0613268Z 744f9ba90a65: Download complete 2025-09-07T09:49:17.1407248Z d3c08322a332: Verifying Checksum 2025-09-07T09:49:17.1407718Z d3c08322a332: Download complete 2025-09-07T09:49:17.2200937Z ffd43b71f3cc: Download complete 2025-09-07T09:49:17.2981336Z 830692b57f6e: Verifying Checksum 2025-09-07T09:49:17.2981610Z 830692b57f6e: Download complete 2025-09-07T09:49:17.3017610Z e6fdc8487bfe: Verifying Checksum 2025-09-07T09:49:17.3017901Z e6fdc8487bfe: Download complete 2025-09-07T09:49:17.3817837Z 5bad36d18468: Download complete 2025-09-07T09:49:17.5948559Z 3c868a62868e: Verifying Checksum 2025-09-07T09:49:17.5948828Z 3c868a62868e: Download complete 2025-09-07T09:49:17.6745651Z 62170a22dd57: Verifying Checksum 2025-09-07T09:49:17.6745974Z 62170a22dd57: Download complete 2025-09-07T09:49:17.7524699Z 553c1d23b6c4: Download complete 2025-09-07T09:49:17.8253900Z 9408d557a804: Download complete 2025-09-07T09:49:18.4614813Z 0e34fdd9ac5c: Verifying Checksum 2025-09-07T09:49:18.4615193Z 0e34fdd9ac5c: Download complete 2025-09-07T09:49:18.4689889Z 4f4fb700ef54: Verifying Checksum 2025-09-07T09:49:18.4690257Z 4f4fb700ef54: Download complete 2025-09-07T09:49:18.5683195Z 40a8e39faeda: Verifying Checksum 2025-09-07T09:49:18.5683475Z 40a8e39faeda: Download complete 2025-09-07T09:49:19.2280322Z d895771c9fac: Download complete 2025-09-07T09:49:19.4242735Z c4ee04f39d49: Download complete 2025-09-07T09:49:19.6582303Z e6fdc8487bfe: Pull complete 2025-09-07T09:49:19.6611181Z 3690c9826e48: Verifying Checksum 2025-09-07T09:49:19.6611468Z 3690c9826e48: Download complete 2025-09-07T09:49:19.7401288Z 57cbc5013733: Verifying Checksum 2025-09-07T09:49:19.7401577Z 57cbc5013733: Download complete 2025-09-07T09:49:19.9266325Z f5f4b06b58bb: Verifying Checksum 2025-09-07T09:49:19.9266627Z f5f4b06b58bb: Download complete 2025-09-07T09:49:20.0081165Z f59713ce4bf4: Download complete 2025-09-07T09:49:20.2558575Z fe0486521517: Verifying Checksum 2025-09-07T09:49:20.2558887Z fe0486521517: Download complete 2025-09-07T09:49:20.2561405Z 4c92b3f72f1d: Verifying Checksum 2025-09-07T09:49:20.2561666Z 4c92b3f72f1d: Download complete 2025-09-07T09:49:20.4917701Z d37c58456a6a: Download complete 2025-09-07T09:49:21.0135868Z d042f63abc13: Verifying Checksum 2025-09-07T09:49:21.0136169Z d042f63abc13: Download complete 2025-09-07T09:49:21.1241526Z 621284a9c05a: Verifying Checksum 2025-09-07T09:49:21.1241815Z 621284a9c05a: Download complete 2025-09-07T09:49:21.3246600Z 85f605d2dd3a: Verifying Checksum 2025-09-07T09:49:22.4295357Z 171dcef20c49: Pull complete 2025-09-07T09:49:26.2334266Z 381b5539e598: Verifying Checksum 2025-09-07T09:49:26.2334656Z 381b5539e598: Download complete 2025-09-07T09:49:26.4180517Z a487c0c80029: Download complete 2025-09-07T09:49:26.5874038Z 48bcb81e2566: Verifying Checksum 2025-09-07T09:49:26.5874809Z 48bcb81e2566: Download complete 2025-09-07T09:49:26.6706871Z e261928c0043: Download complete 2025-09-07T09:49:26.9047982Z 0fea55428091: Verifying Checksum 2025-09-07T09:49:26.9048364Z 0fea55428091: Download complete 2025-09-07T09:49:27.1729625Z b4291bccbb84: Verifying Checksum 2025-09-07T09:49:27.1730043Z b4291bccbb84: Download complete 2025-09-07T09:49:27.2290065Z ddc91b09189a: Verifying Checksum 2025-09-07T09:49:27.2290434Z ddc91b09189a: Download complete 2025-09-07T09:49:27.3134338Z 7540c7428627: Verifying Checksum 2025-09-07T09:49:27.3134785Z 7540c7428627: Download complete 2025-09-07T09:49:27.4185654Z 003c4e2598fb: Download complete 2025-09-07T09:49:27.5013597Z 5687149362ae: Verifying Checksum 2025-09-07T09:49:27.5013884Z 5687149362ae: Download complete 2025-09-07T09:49:27.7056901Z cdd2cf54eb2a: Verifying Checksum 2025-09-07T09:49:27.7057252Z cdd2cf54eb2a: Download complete 2025-09-07T09:49:37.2660955Z 4c92b3f72f1d: Pull complete 2025-09-07T09:49:40.3610757Z 744f9ba90a65: Pull complete 2025-09-07T09:49:43.6832928Z d3c08322a332: Pull complete 2025-09-07T09:49:45.4636897Z ffd43b71f3cc: Pull complete 2025-09-07T09:49:47.6678625Z 830692b57f6e: Pull complete 2025-09-07T09:49:50.1938531Z 5bad36d18468: Pull complete 2025-09-07T09:49:53.0694531Z df607cfc7c07: Verifying Checksum 2025-09-07T09:49:53.0695412Z df607cfc7c07: Download complete 2025-09-07T09:49:53.1644263Z 3c9055753b4c: Verifying Checksum 2025-09-07T09:49:53.1644572Z 3c9055753b4c: Download complete 2025-09-07T09:49:55.9146516Z 0e34fdd9ac5c: Pull complete 2025-09-07T09:49:57.2703155Z 31cf8d0bd21c: Verifying Checksum 2025-09-07T09:49:57.2703469Z 31cf8d0bd21c: Download complete 2025-09-07T09:49:59.2345397Z 3c868a62868e: Pull complete 2025-09-07T09:50:02.1505800Z 62170a22dd57: Pull complete 2025-09-07T09:50:05.8420352Z 553c1d23b6c4: Pull complete 2025-09-07T09:50:08.6032839Z 9408d557a804: Pull complete 2025-09-07T09:50:39.3428612Z 8c21cc3715a2: Verifying Checksum 2025-09-07T09:50:39.3428963Z 8c21cc3715a2: Download complete 2025-09-07T09:50:39.4309398Z 11696c3aa380: Download complete 2025-09-07T09:50:39.5226470Z ef4d544e35ca: Verifying Checksum 2025-09-07T09:50:39.5226814Z ef4d544e35ca: Download complete 2025-09-07T09:50:39.6075915Z 5c5108865e5e: Verifying Checksum 2025-09-07T09:50:39.6076267Z 5c5108865e5e: Download complete 2025-09-07T09:50:39.6901257Z 9e97578e9edf: Verifying Checksum 2025-09-07T09:50:39.6901631Z 9e97578e9edf: Download complete 2025-09-07T09:50:39.7870483Z da5a91b54cb5: Verifying Checksum 2025-09-07T09:50:39.7870815Z da5a91b54cb5: Download complete 2025-09-07T09:50:39.8655376Z 1e93be219e89: Download complete 2025-09-07T09:50:39.9505386Z 136825afebb5: Verifying Checksum 2025-09-07T09:50:39.9505672Z 136825afebb5: Download complete 2025-09-07T09:50:40.0226771Z 22b39805302d: Verifying Checksum 2025-09-07T09:50:40.0227099Z 22b39805302d: Download complete 2025-09-07T09:50:40.1056559Z d12add675e35: Verifying Checksum 2025-09-07T09:50:40.1056888Z d12add675e35: Download complete 2025-09-07T09:50:40.1891316Z bc127046d33a: Verifying Checksum 2025-09-07T09:50:40.1891664Z bc127046d33a: Download complete 2025-09-07T09:50:40.2673660Z 951e8ce83841: Verifying Checksum 2025-09-07T09:50:40.2673963Z 951e8ce83841: Download complete 2025-09-07T09:50:40.3409738Z 32340b97ae50: Verifying Checksum 2025-09-07T09:50:40.3410015Z 32340b97ae50: Download complete 2025-09-07T09:50:40.4067216Z 5bbb04cd6b57: Verifying Checksum 2025-09-07T09:50:40.4067670Z 5bbb04cd6b57: Download complete 2025-09-07T09:50:40.4899011Z d8c4b845cfc7: Verifying Checksum 2025-09-07T09:50:40.4899317Z d8c4b845cfc7: Download complete 2025-09-07T09:50:43.1861677Z b35c180f4d8d: Verifying Checksum 2025-09-07T09:50:43.1862059Z b35c180f4d8d: Download complete 2025-09-07T09:50:43.2676911Z 5f967b3c303a: Verifying Checksum 2025-09-07T09:50:43.2677850Z 5f967b3c303a: Download complete 2025-09-07T09:50:43.3606884Z 04770904f012: Download complete 2025-09-07T09:50:43.4479226Z 73373941fb32: Download complete 2025-09-07T09:50:43.5420855Z 9572e6cd907b: Verifying Checksum 2025-09-07T09:50:43.5421774Z 9572e6cd907b: Download complete 2025-09-07T09:50:43.6273801Z 64a544aba233: Verifying Checksum 2025-09-07T09:50:43.6274161Z 64a544aba233: Download complete 2025-09-07T09:50:43.8214166Z 7e35418a2499: Download complete 2025-09-07T09:50:43.8916437Z 2ed8e82748d4: Download complete 2025-09-07T09:50:44.5033451Z c988fbcccd70: Verifying Checksum 2025-09-07T09:50:44.5033820Z c988fbcccd70: Download complete 2025-09-07T09:50:57.0866345Z df607cfc7c07: Pull complete 2025-09-07T09:51:00.7349161Z 4f4fb700ef54: Pull complete 2025-09-07T09:51:03.4536018Z 40a8e39faeda: Pull complete 2025-09-07T09:51:06.8111501Z d895771c9fac: Pull complete 2025-09-07T09:51:09.5959717Z c4ee04f39d49: Pull complete 2025-09-07T09:51:13.1667854Z 3690c9826e48: Pull complete 2025-09-07T09:51:15.7440303Z 57cbc5013733: Pull complete 2025-09-07T09:51:18.4208856Z f5f4b06b58bb: Pull complete 2025-09-07T09:51:21.2782878Z f59713ce4bf4: Pull complete 2025-09-07T09:51:24.5685055Z fe0486521517: Pull complete 2025-09-07T09:51:30.2693105Z 6623ea814971: Download complete 2025-09-07T09:52:43.8984594Z d3ad4df1ba3a: Verifying Checksum 2025-09-07T09:53:11.5797141Z 8c21cc3715a2: Pull complete 2025-09-07T09:53:13.6215692Z d37c58456a6a: Pull complete 2025-09-07T09:53:17.1015471Z d042f63abc13: Pull complete 2025-09-07T09:53:20.9002829Z 621284a9c05a: Pull complete 2025-09-07T09:53:23.8639078Z 85f605d2dd3a: Pull complete 2025-09-07T09:53:33.5102425Z 381b5539e598: Pull complete 2025-09-07T09:53:36.9043227Z a487c0c80029: Pull complete 2025-09-07T09:53:39.8059720Z 48bcb81e2566: Pull complete 2025-09-07T09:53:46.7782352Z e261928c0043: Pull complete 2025-09-07T09:53:48.5113888Z 0fea55428091: Pull complete 2025-09-07T09:53:52.1220330Z b4291bccbb84: Pull complete 2025-09-07T09:53:55.5332141Z ddc91b09189a: Pull complete 2025-09-07T09:54:00.6741216Z 7540c7428627: Pull complete 2025-09-07T09:54:11.6345702Z 003c4e2598fb: Pull complete 2025-09-07T09:54:14.1936561Z 5687149362ae: Pull complete 2025-09-07T09:54:17.5508204Z cdd2cf54eb2a: Pull complete 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d8c4b845cfc7: Pull complete 2025-09-07T10:01:46.2906967Z b35c180f4d8d: Pull complete 2025-09-07T10:01:48.5354385Z 5f967b3c303a: Pull complete 2025-09-07T10:01:50.5300363Z 04770904f012: Pull complete 2025-09-07T10:01:52.4988320Z 73373941fb32: Pull complete 2025-09-07T10:01:54.4231371Z 9572e6cd907b: Pull complete 2025-09-07T10:01:56.7598543Z 64a544aba233: Pull complete 2025-09-07T10:01:59.4325054Z 7e35418a2499: Pull complete 2025-09-07T10:02:01.2026324Z 2ed8e82748d4: Pull complete 2025-09-07T10:02:04.0110166Z c988fbcccd70: Pull complete 2025-09-07T10:02:06.9770063Z Digest: sha256:f30843ff9ea9e117a2c8e6d207e85c9e77dfe682f1dfcdfea5b94178d1bf00b3 2025-09-07T10:02:07.4154838Z 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 2025-09-07T10:02:07.4795586Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T10:02:07.4972137Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T10:02:07.4972915Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T10:02:07.4988943Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:02:07.4989235Z env: 2025-09-07T10:02:07.4989399Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:07.4989603Z ##[endgroup] 2025-09-07T10:02:07.6205810Z ##[group]Run echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T10:02:07.6206403Z echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T10:02:07.6221268Z shell: /usr/bin/bash -e {0} 2025-09-07T10:02:07.6221480Z env: 2025-09-07T10:02:07.6221640Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:07.6221854Z ##[endgroup] 2025-09-07T10:02:07.7527927Z ##[group]Run echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T10:02:07.7528734Z echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T10:02:07.7543084Z shell: /usr/bin/bash -e {0} 2025-09-07T10:02:07.7543300Z env: 2025-09-07T10:02:07.7543460Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:07.7543713Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:07.7543969Z ##[endgroup] 2025-09-07T10:02:07.7944419Z Prepare all required actions 2025-09-07T10:02:07.8346202Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T10:02:07.8346513Z with: 2025-09-07T10:02:07.8347144Z github-token: *** 2025-09-07T10:02:07.8347556Z env: 2025-09-07T10:02:07.8347745Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:07.8348054Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:07.8348455Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T10:02:07.8348808Z ##[endgroup] 2025-09-07T10:02:07.9589730Z ##[group]Run set -eux 2025-09-07T10:02:07.9589973Z set -eux 2025-09-07T10:02:07.9590359Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T10:02:07.9606014Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:02:07.9606293Z env: 2025-09-07T10:02:07.9606457Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:07.9606702Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:07.9607048Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T10:02:07.9607692Z GITHUB_TOKEN: *** 2025-09-07T10:02:07.9607873Z ##[endgroup] 2025-09-07T10:02:08.0025836Z + python3 .github/scripts/get_workflow_job_id.py 17525296438 i-0d3ed1ff3ccbeec77-1003 2025-09-07T10:02:08.7542018Z Setting output job-id=49775781847 2025-09-07T10:02:08.7542526Z Setting output job-name=test-weekly / test (inductor_huggingface_perf_cuda_h100, 5, 5, linux.aws.h100) 2025-09-07T10:02:08.7986385Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T10:02:08.7987075Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T10:02:08.7988153Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T10:02:08.7988899Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T10:02:08.8003510Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:02:08.8003797Z env: 2025-09-07T10:02:08.8003965Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:08.8004235Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:08.8004560Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T10:02:08.8004840Z JOB_ID: 49775781847 2025-09-07T10:02:08.8005177Z JOB_NAME: test-weekly / test (inductor_huggingface_perf_cuda_h100, 5, 5, linux.aws.h100) 2025-09-07T10:02:08.8005772Z WORKFLOW_NAME: inductor-perf-nightly-h100 2025-09-07T10:02:08.8006019Z WORKFLOW_RUN_ID: 17525296438 2025-09-07T10:02:08.8006217Z MONITOR_LOG_INTERVAL: 15 2025-09-07T10:02:08.8006417Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T10:02:08.8006624Z ##[endgroup] 2025-09-07T10:02:09.1180163Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T10:02:09.8576052Z Collecting psutil==5.9.8 2025-09-07T10:02:09.8913522Z 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) 2025-09-07T10:02:10.2276287Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.2/288.2 KB 832.6 kB/s eta 0:00:00 2025-09-07T10:02:10.6019910Z Collecting dataclasses_json==0.6.7 2025-09-07T10:02:10.6049306Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T10:02:11.2924755Z Collecting nvidia-ml-py==11.525.84 2025-09-07T10:02:11.2954102Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T10:02:11.9839615Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T10:02:11.9867661Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T10:02:12.3102022Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.9/50.9 KB 126.6 kB/s eta 0:00:00 2025-09-07T10:02:12.5927217Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T10:02:12.5982570Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T10:02:13.3588454Z Collecting packaging>=17.0 2025-09-07T10:02:13.3615710Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T10:02:13.6786109Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.5/66.5 KB 178.5 kB/s eta 0:00:00 2025-09-07T10:02:14.0350253Z Collecting typing-extensions>=3.7.4 2025-09-07T10:02:14.0377566Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T10:02:14.4116484Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 44.6/44.6 KB 92.4 kB/s eta 0:00:00 2025-09-07T10:02:14.7452512Z Collecting mypy-extensions>=0.3.0 2025-09-07T10:02:14.7481904Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T10:02:15.1502878Z Installing collected packages: nvidia-ml-py, typing-extensions, psutil, packaging, mypy-extensions, typing-inspect, marshmallow, dataclasses_json 2025-09-07T10:02:20.5035526Z 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 2025-09-07T10:02:20.6041543Z Prepare all required actions 2025-09-07T10:02:20.6041879Z Getting action download info 2025-09-07T10:02:20.7471639Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T10:02:21.4255174Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T10:02:23.3588579Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T10:02:23.3588905Z with: 2025-09-07T10:02:23.3589145Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T10:02:23.3589452Z s3-bucket: gha-artifacts 2025-09-07T10:02:23.3589679Z env: 2025-09-07T10:02:23.3589861Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:23.3590144Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:23.3590534Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T10:02:23.3590865Z ##[endgroup] 2025-09-07T10:02:23.4374475Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T10:02:23.4374790Z with: 2025-09-07T10:02:23.4375111Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T10:02:23.4375433Z s3-bucket: gha-artifacts 2025-09-07T10:02:23.4375639Z region: us-east-1 2025-09-07T10:02:23.4375809Z env: 2025-09-07T10:02:23.4375968Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:23.4376224Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:23.4376580Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T10:02:23.4377099Z ##[endgroup] 2025-09-07T10:02:23.8505916Z (node:7902) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T10:02:23.8506537Z 2025-09-07T10:02:23.8506718Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T10:02:23.8507201Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T10:02:23.8507855Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T10:02:23.9555854Z Found 1 objects with prefix pytorch/pytorch/17525296438/linux-jammy-cuda12.8-py3.10-gcc9-sm90/ 2025-09-07T10:02:23.9557049Z Starting download (1/1): /home/charlie/_work/pytorch/pytorch/artifacts.zip 2025-09-07T10:02:32.7083787Z Finished download (1/1): /home/charlie/_work/pytorch/pytorch/artifacts.zip 2025-09-07T10:02:32.7091331Z Artifact download has finished successfully 2025-09-07T10:02:32.7486453Z ##[group]Run unzip -o artifacts.zip 2025-09-07T10:02:32.7486722Z unzip -o artifacts.zip 2025-09-07T10:02:32.7502349Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:02:32.7502631Z env: 2025-09-07T10:02:32.7502793Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:32.7503043Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:32.7503368Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T10:02:32.7503635Z ##[endgroup] 2025-09-07T10:02:32.7972683Z Archive: artifacts.zip 2025-09-07T10:02:32.7974356Z creating: dist/ 2025-09-07T10:02:34.5512892Z inflating: dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T10:02:34.5513922Z creating: dist/vision/ 2025-09-07T10:02:34.5621630Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T10:02:34.5622098Z creating: dist/audio/ 2025-09-07T10:02:34.5678758Z inflating: dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T10:02:34.5679225Z creating: dist/torchrec/ 2025-09-07T10:02:34.5702832Z inflating: dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T10:02:34.5703238Z creating: dist/fbgemm_gpu/ 2025-09-07T10:02:35.6609699Z inflating: dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T10:02:35.6610192Z creating: dist/ao/ 2025-09-07T10:02:35.6647988Z inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T10:02:35.6766729Z inflating: dist/.ninja_log 2025-09-07T10:02:35.6767578Z creating: build/custom_test_artifacts/ 2025-09-07T10:02:35.6768851Z creating: build/custom_test_artifacts/custom-op-build/ 2025-09-07T10:02:35.6769338Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-09-07T10:02:35.6769867Z creating: 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2025-09-07T10:02:43.6361696Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T10:02:43.6421337Z inflating: build/bin/ProcessGroupNCCLTest 2025-09-07T10:02:43.6476108Z inflating: build/bin/ProcessGroupGlooAsyncTest 2025-09-07T10:02:43.6533622Z inflating: build/bin/ProcessGroupNCCLErrorsTest 2025-09-07T10:02:43.7528660Z inflating: build/bin/test_jit 2025-09-07T10:02:43.7847021Z inflating: build/bin/test_lazy 2025-09-07T10:02:43.7850405Z inflating: build/bin/torch_shm_manager 2025-09-07T10:02:43.7850898Z creating: .additional_ci_files/ 2025-09-07T10:02:43.7931284Z inflating: .additional_ci_files/test-times.json 2025-09-07T10:02:43.8235038Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T10:02:43.8314585Z ##[group]Run rm artifacts.zip 2025-09-07T10:02:43.8314851Z rm artifacts.zip 2025-09-07T10:02:43.8330493Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:02:43.8330794Z env: 2025-09-07T10:02:43.8330959Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:43.8331212Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:43.8331564Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T10:02:43.8331841Z ##[endgroup] 2025-09-07T10:02:44.3144278Z ##[group]Run df -H 2025-09-07T10:02:44.3144572Z df -H 2025-09-07T10:02:44.3164559Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:02:44.3164983Z env: 2025-09-07T10:02:44.3165219Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:44.3165584Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:44.3166089Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T10:02:44.3166814Z ##[endgroup] 2025-09-07T10:02:44.3653255Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T10:02:44.3653679Z overlay 7.3T 648G 6.7T 9% / 2025-09-07T10:02:44.3654015Z tmpfs 68M 0 68M 0% /dev 2025-09-07T10:02:44.3654362Z shm 68M 0 68M 0% /dev/shm 2025-09-07T10:02:44.3654750Z /dev/root 7.3T 648G 6.7T 9% /home/charlie/_work 2025-09-07T10:02:44.3655564Z tmpfs 215G 111k 215G 1% /run/docker.sock 2025-09-07T10:02:44.3656044Z tmpfs 1.1T 13k 1.1T 1% /proc/driver/nvidia 2025-09-07T10:02:44.3656579Z tmpfs 430G 2.9M 430G 1% /run/.ro2916570543/nvidia-persistenced/socket 2025-09-07T10:02:44.3657143Z tmpfs 1.1T 0 1.1T 0% /proc/acpi 2025-09-07T10:02:44.3657760Z tmpfs 1.1T 0 1.1T 0% /proc/scsi 2025-09-07T10:02:44.3658164Z tmpfs 1.1T 0 1.1T 0% /sys/firmware 2025-09-07T10:02:44.3698051Z Prepare all required actions 2025-09-07T10:02:44.3698717Z Getting action download info 2025-09-07T10:02:44.5193408Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T10:02:44.5193790Z with: 2025-09-07T10:02:44.5193998Z env: 2025-09-07T10:02:44.5194222Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:44.5194577Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:44.5195079Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T10:02:44.5195504Z ##[endgroup] 2025-09-07T10:02:44.6001485Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T10:02:44.6001855Z with: 2025-09-07T10:02:44.6002075Z name: td_results 2025-09-07T10:02:44.6002337Z s3-bucket: gha-artifacts 2025-09-07T10:02:44.6002623Z region: us-east-1 2025-09-07T10:02:44.6002856Z env: 2025-09-07T10:02:44.6003080Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:44.6003446Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:44.6003982Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T10:02:44.6004418Z ##[endgroup] 2025-09-07T10:02:45.0153504Z (node:7923) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T10:02:45.0154228Z 2025-09-07T10:02:45.0154512Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T10:02:45.0155305Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T10:02:45.0156106Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T10:02:45.1000288Z Found 0 objects with prefix pytorch/pytorch/17525296438/td_results/ 2025-09-07T10:02:45.1006557Z Artifact download has finished successfully 2025-09-07T10:02:45.1311407Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T10:02:45.1311718Z mkdir -p .additional_ci_files 2025-09-07T10:02:45.1312073Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T10:02:45.1327893Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:02:45.1328204Z env: 2025-09-07T10:02:45.1328370Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:45.1328624Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:45.1328956Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T10:02:45.1329224Z ##[endgroup] 2025-09-07T10:02:45.1741158Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T10:02:45.2011256Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T10:02:45.2011624Z .github/scripts/parse_ref.py 2025-09-07T10:02:45.2026097Z shell: /usr/bin/bash -e {0} 2025-09-07T10:02:45.2026308Z env: 2025-09-07T10:02:45.2026467Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:45.2026718Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:45.2027056Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T10:02:45.2027469Z ##[endgroup] 2025-09-07T10:02:45.2574965Z Setting output branch=main 2025-09-07T10:02:45.2674140Z Prepare all required actions 2025-09-07T10:02:45.2674711Z Getting action download info 2025-09-07T10:02:45.3728167Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T10:02:45.3728447Z with: 2025-09-07T10:02:45.3728866Z github-token: *** 2025-09-07T10:02:45.3733544Z 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"}]} 2025-09-07T10:02:45.3738741Z job-name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 5, 5, linux.aws.h100) 2025-09-07T10:02:45.3739091Z env: 2025-09-07T10:02:45.3739248Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:45.3739494Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:45.3739833Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T10:02:45.3740099Z ##[endgroup] 2025-09-07T10:02:45.5116500Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T10:02:45.5116767Z with: 2025-09-07T10:02:45.5116930Z shell: bash 2025-09-07T10:02:45.5117105Z timeout_minutes: 10 2025-09-07T10:02:45.5117489Z max_attempts: 5 2025-09-07T10:02:45.5117682Z retry_wait_seconds: 30 2025-09-07T10:02:45.5118313Z 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 2025-09-07T10:02:45.5118957Z polling_interval_seconds: 1 2025-09-07T10:02:45.5119186Z warning_on_retry: true 2025-09-07T10:02:45.5119390Z continue_on_error: false 2025-09-07T10:02:45.5119597Z env: 2025-09-07T10:02:45.5119759Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:45.5120014Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:45.5120374Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T10:02:45.5120863Z GITHUB_TOKEN: *** 2025-09-07T10:02:45.5121048Z ##[endgroup] 2025-09-07T10:02:45.8002916Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T10:02:46.0655661Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T10:02:46.4623633Z Collecting requests==2.27.1 2025-09-07T10:02:46.4966867Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T10:02:46.8217199Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.1/63.1 KB 164.3 kB/s eta 0:00:00 2025-09-07T10:02:47.2628705Z Collecting pyyaml==6.0.2 2025-09-07T10:02:47.2659867Z Downloading PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (751 kB) 2025-09-07T10:02:47.7043842Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 751.2/751.2 KB 1.7 MB/s eta 0:00:00 2025-09-07T10:02:47.7164319Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3/dist-packages (from requests==2.27.1) (3.3) 2025-09-07T10:02:47.7169228Z Requirement already satisfied: certifi>=2017.4.17 in /usr/lib/python3/dist-packages (from requests==2.27.1) (2020.6.20) 2025-09-07T10:02:47.7173761Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3/dist-packages (from requests==2.27.1) (1.26.5) 2025-09-07T10:02:48.2579383Z Collecting charset-normalizer~=2.0.0 2025-09-07T10:02:48.2612670Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T10:02:48.7129634Z Installing collected packages: pyyaml, charset-normalizer, requests 2025-09-07T10:02:49.2912819Z WARNING: The script normalizer is installed in '/home/charlie/.local/bin' which is not on PATH. 2025-09-07T10:02:49.2913629Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T10:02:50.2778014Z Successfully installed charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T10:02:50.8022606Z Command completed after 1 attempt(s). 2025-09-07T10:02:50.8142396Z ##[group]Run set -x 2025-09-07T10:02:50.8142604Z set -x 2025-09-07T10:02:50.8142776Z  2025-09-07T10:02:50.8143079Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T10:02:50.8143448Z # in runner workspace 2025-09-07T10:02:50.8143769Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T10:02:50.8159384Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:02:50.8159665Z env: 2025-09-07T10:02:50.8159822Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:50.8160063Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:50.8160383Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T10:02:50.8160655Z ##[endgroup] 2025-09-07T10:02:50.8623539Z + python3 /home/charlie/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T10:02:50.8769342Z Setting output branch=main 2025-09-07T10:02:50.8932404Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T10:02:50.8932742Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T10:02:50.8933002Z echo "Job name: ${JOB_NAME}" 2025-09-07T10:02:50.8933247Z  2025-09-07T10:02:50.8933539Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T10:02:50.8933927Z # in runner workspace 2025-09-07T10:02:50.8934253Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T10:02:50.8934618Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T10:02:50.8934877Z  --job-name "${JOB_NAME}" \ 2025-09-07T10:02:50.8940080Z  --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"}]}" \ 2025-09-07T10:02:50.8945123Z  --selected-test-configs "" \ 2025-09-07T10:02:50.8945362Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T10:02:50.8945584Z  --tag "${TAG}" \ 2025-09-07T10:02:50.8945797Z  --event-name "${EVENT_NAME}" \ 2025-09-07T10:02:50.8946044Z  --schedule "${SCHEDULE}" \ 2025-09-07T10:02:50.8946268Z  --branch "${HEAD_BRANCH}" 2025-09-07T10:02:50.8961893Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:02:50.8962166Z env: 2025-09-07T10:02:50.8962327Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:50.8962571Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:50.8962896Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T10:02:50.8963379Z GITHUB_TOKEN: *** 2025-09-07T10:02:50.8963705Z JOB_NAME: test-weekly / test (inductor_huggingface_perf_cuda_h100, 5, 5, linux.aws.h100) 2025-09-07T10:02:50.8964047Z PR_NUMBER: 2025-09-07T10:02:50.8964204Z TAG: 2025-09-07T10:02:50.8964348Z EVENT_NAME: schedule 2025-09-07T10:02:50.8964524Z SCHEDULE: 0 7 * * 0 2025-09-07T10:02:50.8964693Z HEAD_BRANCH: main 2025-09-07T10:02:50.8964857Z ##[endgroup] 2025-09-07T10:02:50.9395637Z Workflow: inductor-perf-nightly-h100 2025-09-07T10:02:50.9396065Z Job name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 5, 5, linux.aws.h100) 2025-09-07T10:02:51.0861260Z Setting output keep-going=True 2025-09-07T10:02:51.0861584Z Setting output ci-verbose-test-logs=False 2025-09-07T10:02:51.0861855Z Setting output ci-test-showlocals=False 2025-09-07T10:02:51.0862098Z Setting output ci-no-test-timeout=False 2025-09-07T10:02:51.0862339Z Setting output ci-no-td=False 2025-09-07T10:02:51.0862568Z Setting output ci-td-distributed=False 2025-09-07T10:02:51.0862808Z Setting output is-unstable=False 2025-09-07T10:02:51.0863020Z Setting output reenabled-issues= 2025-09-07T10:02:51.0868619Z 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"}]} 2025-09-07T10:02:51.0873881Z Setting output is-test-matrix-empty=False 2025-09-07T10:02:51.1116409Z ##[group]Run echo "Filtered matrix:" 2025-09-07T10:02:51.1116708Z echo "Filtered matrix:" 2025-09-07T10:02:51.1122687Z 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"}]}" 2025-09-07T10:02:51.1128174Z  2025-09-07T10:02:51.1128334Z echo 2025-09-07T10:02:51.1128535Z echo "Is the current job unstable? False" 2025-09-07T10:02:51.1128771Z  2025-09-07T10:02:51.1128922Z echo 2025-09-07T10:02:51.1129107Z echo "Is keep-going label set? True" 2025-09-07T10:02:51.1129352Z  2025-09-07T10:02:51.1129494Z echo 2025-09-07T10:02:51.1129662Z echo "Reenabled issues? " 2025-09-07T10:02:51.1144783Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:02:51.1145072Z env: 2025-09-07T10:02:51.1145235Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:51.1145488Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:51.1145814Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T10:02:51.1146098Z ##[endgroup] 2025-09-07T10:02:51.1594355Z Filtered matrix: 2025-09-07T10:02:51.1600516Z {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}]} 2025-09-07T10:02:51.1605812Z 2025-09-07T10:02:51.1605913Z Is the current job unstable? False 2025-09-07T10:02:51.1606075Z 2025-09-07T10:02:51.1606157Z Is keep-going label set? True 2025-09-07T10:02:51.1606302Z 2025-09-07T10:02:51.1606367Z Reenabled issues? 2025-09-07T10:02:51.1910601Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T10:02:51.1911088Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T10:02:51.1925458Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:02:51.1925737Z env: 2025-09-07T10:02:51.1925904Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:51.1926151Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:51.1926468Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T10:02:51.1926738Z JOB_TIMEOUT: 1440 2025-09-07T10:02:51.1926908Z ##[endgroup] 2025-09-07T10:02:51.3122022Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T10:02:51.3122661Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T10:02:51.3123447Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T10:02:51.3142965Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:02:51.3143415Z env: 2025-09-07T10:02:51.3143686Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:51.3144085Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:51.3144624Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T10:02:51.3145084Z ##[endgroup] 2025-09-07T10:02:51.4209775Z ##[group]Run set -x 2025-09-07T10:02:51.4210083Z set -x 2025-09-07T10:02:51.4210253Z  2025-09-07T10:02:51.4210448Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T10:02:51.4210759Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T10:02:51.4211077Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T10:02:51.4211353Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T10:02:51.4211611Z else 2025-09-07T10:02:51.4211809Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T10:02:51.4212043Z fi 2025-09-07T10:02:51.4212190Z  2025-09-07T10:02:51.4212386Z # Leaving 1GB for the runner and other things 2025-09-07T10:02:51.4212832Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T10:02:51.4213497Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T10:02:51.4214035Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T10:02:51.4214445Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T10:02:51.4214771Z  2025-09-07T10:02:51.4215057Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T10:02:51.4215302Z  SHM_OPTS= 2025-09-07T10:02:51.4215479Z  JENKINS_USER= 2025-09-07T10:02:51.4215734Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T10:02:51.4216066Z  # if for some reason cleanup action doesn't stop container 2025-09-07T10:02:51.4216345Z  # when job is cancelled 2025-09-07T10:02:51.4216560Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T10:02:51.4216768Z else 2025-09-07T10:02:51.4216948Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T10:02:51.4217192Z  JENKINS_USER="--user jenkins" 2025-09-07T10:02:51.4217622Z  DOCKER_SHELL_CMD= 2025-09-07T10:02:51.4217810Z fi 2025-09-07T10:02:51.4217957Z  2025-09-07T10:02:51.4218193Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T10:02:51.4218555Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T10:02:51.4218978Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T10:02:51.4219345Z # shellcheck disable=SC2086,SC2090 2025-09-07T10:02:51.4219587Z container_name=$(docker run \ 2025-09-07T10:02:51.4219803Z  ${GPU_FLAG:-} \ 2025-09-07T10:02:51.4220021Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T10:02:51.4220265Z  -e BUILD_ENVIRONMENT \ 2025-09-07T10:02:51.4220476Z  -e PR_NUMBER \ 2025-09-07T10:02:51.4220669Z  -e GITHUB_ACTIONS \ 2025-09-07T10:02:51.4220871Z  -e GITHUB_REPOSITORY \ 2025-09-07T10:02:51.4221083Z  -e GITHUB_WORKFLOW \ 2025-09-07T10:02:51.4221284Z  -e GITHUB_JOB \ 2025-09-07T10:02:51.4221472Z  -e GITHUB_RUN_ID \ 2025-09-07T10:02:51.4221663Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T10:02:51.4221869Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T10:02:51.4222086Z  -e JOB_ID \ 2025-09-07T10:02:51.4222267Z  -e JOB_NAME \ 2025-09-07T10:02:51.4222441Z  -e BASE_SHA \ 2025-09-07T10:02:51.4222619Z  -e BRANCH \ 2025-09-07T10:02:51.4223020Z  -e SHA1 \ 2025-09-07T10:02:51.4223204Z  -e AWS_DEFAULT_REGION \ 2025-09-07T10:02:51.4223404Z  -e IN_WHEEL_TEST \ 2025-09-07T10:02:51.4223597Z  -e SHARD_NUMBER \ 2025-09-07T10:02:51.4223791Z  -e TEST_CONFIG \ 2025-09-07T10:02:51.4223995Z  -e NUM_TEST_SHARDS \ 2025-09-07T10:02:51.4224201Z  -e REENABLED_ISSUES \ 2025-09-07T10:02:51.4224424Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T10:02:51.4224831Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T10:02:51.4225044Z  -e TEST_SHOWLOCALS \ 2025-09-07T10:02:51.4225252Z  -e NO_TEST_TIMEOUT \ 2025-09-07T10:02:51.4225448Z  -e NO_TD \ 2025-09-07T10:02:51.4225625Z  -e TD_DISTRIBUTED \ 2025-09-07T10:02:51.4225821Z  -e PR_LABELS \ 2025-09-07T10:02:51.4226028Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T10:02:51.4226263Z  -e SCCACHE_BUCKET \ 2025-09-07T10:02:51.4226460Z  -e SCCACHE_REGION \ 2025-09-07T10:02:51.4226647Z  -e XLA_CUDA \ 2025-09-07T10:02:51.4226841Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T10:02:51.4227092Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T10:02:51.4227497Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T10:02:51.4227762Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T10:02:51.4228017Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T10:02:51.4228255Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T10:02:51.4228496Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T10:02:51.4228721Z  -e DASHBOARD_TAG \ 2025-09-07T10:02:51.4228925Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T10:02:51.4229189Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T10:02:51.4229486Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T10:02:51.4229777Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T10:02:51.4230063Z  --security-opt seccomp=unconfined \ 2025-09-07T10:02:51.4230305Z  --cap-add=SYS_PTRACE \ 2025-09-07T10:02:51.4230523Z  --ipc=host \ 2025-09-07T10:02:51.4230717Z  ${SHM_OPTS} \ 2025-09-07T10:02:51.4230901Z  --tty \ 2025-09-07T10:02:51.4231069Z  --detach \ 2025-09-07T10:02:51.4231257Z  --name="${container_name}" \ 2025-09-07T10:02:51.4231489Z  ${JENKINS_USER} \ 2025-09-07T10:02:51.4231744Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T10:02:51.4232038Z  -w /var/lib/jenkins/workspace \ 2025-09-07T10:02:51.4232267Z  "${DOCKER_IMAGE}" \ 2025-09-07T10:02:51.4232469Z  ${DOCKER_SHELL_CMD} 2025-09-07T10:02:51.4232656Z ) 2025-09-07T10:02:51.4232868Z # Propagate download.pytorch.org IP to container 2025-09-07T10:02:51.4233344Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T10:02:51.4233877Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T10:02:51.4234177Z  2025-09-07T10:02:51.4234371Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T10:02:51.4234783Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T10:02:51.4235145Z fi 2025-09-07T10:02:51.4235298Z  2025-09-07T10:02:51.4235647Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T10:02:51.4250625Z shell: /usr/bin/bash -e {0} 2025-09-07T10:02:51.4250852Z env: 2025-09-07T10:02:51.4251008Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:02:51.4251266Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:02:51.4251600Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T10:02:51.4251938Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T10:02:51.4252406Z PR_NUMBER: 2025-09-07T10:02:51.4252587Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T10:02:51.4252845Z GITHUB_WORKFLOW: inductor-perf-nightly-h100 2025-09-07T10:02:51.4253080Z GITHUB_JOB: test 2025-09-07T10:02:51.4253243Z GITHUB_RUN_ID: 17525296438 2025-09-07T10:02:51.4253436Z GITHUB_RUN_NUMBER: 662 2025-09-07T10:02:51.4253618Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T10:02:51.4253797Z JOB_ID: 49775781847 2025-09-07T10:02:51.4254256Z JOB_NAME: test-weekly / test (inductor_huggingface_perf_cuda_h100, 5, 5, linux.aws.h100) 2025-09-07T10:02:51.4254623Z BRANCH: main 2025-09-07T10:02:51.4254813Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T10:02:51.4255166Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T10:02:51.4255435Z TEST_CONFIG: inductor_huggingface_perf_cuda_h100 2025-09-07T10:02:51.4255671Z SHARD_NUMBER: 5 2025-09-07T10:02:51.4255836Z NUM_TEST_SHARDS: 5 2025-09-07T10:02:51.4256022Z REENABLED_ISSUES: 2025-09-07T10:02:51.4256196Z CONTINUE_THROUGH_ERROR: True 2025-09-07T10:02:51.4256389Z VERBOSE_TEST_LOGS: False 2025-09-07T10:02:51.4256578Z TEST_SHOWLOCALS: False 2025-09-07T10:02:51.4256758Z NO_TEST_TIMEOUT: False 2025-09-07T10:02:51.4256931Z NO_TD: False 2025-09-07T10:02:51.4257086Z TD_DISTRIBUTED: False 2025-09-07T10:02:51.4257455Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T10:02:51.4257719Z SCCACHE_REGION: us-east-1 2025-09-07T10:02:51.4257906Z SHM_SIZE: 2g 2025-09-07T10:02:51.4258544Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T10:02:51.4259238Z XLA_CUDA: 2025-09-07T10:02:51.4259495Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T10:02:51.4259839Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T10:02:51.4260073Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T10:02:51.4260980Z 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 2025-09-07T10:02:51.4262040Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T10:02:51.4262345Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T10:02:51.4262643Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T10:02:51.4263019Z ARTIFACTS_FILE_SUFFIX: test-inductor_huggingface_perf_cuda_h100-5-5-linux.aws.h100_49775781847 2025-09-07T10:02:51.4263389Z ##[endgroup] 2025-09-07T10:02:51.4687481Z + [[ inductor_huggingface_perf_cuda_h100 == \m\u\l\t\i\g\p\u ]] 2025-09-07T10:02:51.4687864Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *onnx* ]] 2025-09-07T10:02:51.4688146Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T10:02:51.4690704Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T10:02:51.4701478Z + TOTAL_AVAILABLE_MEMORY_IN_GB='1998.949 ' 2025-09-07T10:02:51.4701769Z + TOTAL_MEMORY_WITH_SWAP=2001 2025-09-07T10:02:51.4702053Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *\s\3\9\0\x* ]] 2025-09-07T10:02:51.4702342Z + SHM_OPTS=--shm-size=2g 2025-09-07T10:02:51.4702557Z + JENKINS_USER='--user jenkins' 2025-09-07T10:02:51.4702784Z + DOCKER_SHELL_CMD= 2025-09-07T10:02:51.4710842Z +++ nproc --ignore=2 2025-09-07T10:02:51.4724696Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e SCCACHE_SERVER_PORT=5229 -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/charlie/_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 2025-09-07T10:07:15.3845771Z + container_name=51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T10:07:15.3848961Z + grep download.pytorch.org /etc/hosts 2025-09-07T10:07:15.3850630Z + docker exec -i 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T10:07:15.4322939Z + echo DOCKER_CONTAINER_ID=51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T10:07:15.4325020Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *\s\3\9\0\x* ]] 2025-09-07T10:07:15.4328603Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T10:07:15.4331130Z + docker exec -t 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T10:07:15.8264960Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T10:07:16.1419265Z 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) 2025-09-07T10:07:16.1423110Z 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) 2025-09-07T10:07:16.1426681Z 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) 2025-09-07T10:07:16.1430919Z 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) 2025-09-07T10:07:16.1433747Z 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) 2025-09-07T10:07:16.1437570Z 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) 2025-09-07T10:07:16.1449753Z 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) 2025-09-07T10:07:16.1770605Z 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) 2025-09-07T10:07:16.1787414Z 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) 2025-09-07T10:07:16.1819259Z 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) 2025-09-07T10:07:16.9785033Z Installing collected packages: torch 2025-09-07T10:07:26.6942039Z 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. 2025-09-07T10:07:26.6942922Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T10:07:26.6944071Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T10:07:26.6944520Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-09-07T10:07:26.6945054Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T10:07:26.6945723Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T10:07:26.6946383Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T10:07:26.6947117Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T10:07:26.7650327Z + export TERM=vt100 2025-09-07T10:07:26.7650596Z + TERM=vt100 2025-09-07T10:07:26.7653658Z ++ dirname .ci/pytorch/test.sh 2025-09-07T10:07:26.7667063Z + source .ci/pytorch/common.sh 2025-09-07T10:07:26.7670939Z +++ dirname .ci/pytorch/common.sh 2025-09-07T10:07:26.7679586Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T10:07:26.7680619Z +++ declare -f -t trap_add 2025-09-07T10:07:26.7684310Z ++ set -ex -o pipefail 2025-09-07T10:07:26.7684576Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T10:07:26.7684874Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T10:07:26.7688727Z ++ dirname .ci/pytorch/test.sh 2025-09-07T10:07:26.7697541Z + source .ci/pytorch/common-build.sh 2025-09-07T10:07:26.7699581Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *win-* ]] 2025-09-07T10:07:26.7706406Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T10:07:26.7714675Z +++ cd .ci/pytorch 2025-09-07T10:07:26.7715162Z +++ pwd -P 2025-09-07T10:07:26.7717581Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T10:07:26.7717975Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-pch* ]] 2025-09-07T10:07:26.7718263Z ++ which sccache 2025-09-07T10:07:26.7733189Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T10:07:26.7733474Z ++ sccache --stop-server 2025-09-07T10:07:26.7760505Z ++ true 2025-09-07T10:07:26.7760723Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T10:07:26.7772826Z ++ trap_add sccache_epilogue EXIT 2025-09-07T10:07:26.7773085Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T10:07:26.7773304Z ++ shift 2025-09-07T10:07:26.7773486Z ++ for trap_add_name in "$@" 2025-09-07T10:07:26.7781875Z ++++ trap -p EXIT 2025-09-07T10:07:26.7783773Z +++ eval 'extract_trap_cmd ' 2025-09-07T10:07:26.7784059Z ++++ extract_trap_cmd 2025-09-07T10:07:26.7784277Z ++++ printf '%s\n' '' 2025-09-07T10:07:26.7784512Z +++ printf '%s\n' sccache_epilogue 2025-09-07T10:07:26.7785810Z ++ trap -- ' 2025-09-07T10:07:26.7786047Z sccache_epilogue' EXIT 2025-09-07T10:07:26.7786260Z ++ [[ -n 1 ]] 2025-09-07T10:07:26.7786598Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T10:07:26.7787128Z Skipping sccache server initialization, setting environment variables 2025-09-07T10:07:26.7787708Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T10:07:26.7787975Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T10:07:26.7788277Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T10:07:26.7788678Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T10:07:26.7789037Z ++ export RUST_LOG=sccache::server=error 2025-09-07T10:07:26.7789312Z ++ RUST_LOG=sccache::server=error 2025-09-07T10:07:26.7789568Z ++ sccache --zero-stats 2025-09-07T10:07:26.8805621Z Statistics zeroed. 2025-09-07T10:07:26.8813356Z ++ which ccache 2025-09-07T10:07:26.8827829Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *rocm* ]] 2025-09-07T10:07:26.8828235Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *s390x* ]] 2025-09-07T10:07:26.8831472Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T10:07:26.8831761Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T10:07:26.8844656Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T10:07:26.8844949Z + trap_add cleanup_workspace EXIT 2025-09-07T10:07:26.8845204Z + trap_add_cmd=cleanup_workspace 2025-09-07T10:07:26.8845430Z + shift 2025-09-07T10:07:26.8845609Z + for trap_add_name in "$@" 2025-09-07T10:07:26.8853748Z +++ trap -p EXIT 2025-09-07T10:07:26.8855764Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T10:07:26.8856038Z sccache_epilogue'\'' EXIT' 2025-09-07T10:07:26.8856272Z +++ extract_trap_cmd trap -- ' 2025-09-07T10:07:26.8856500Z sccache_epilogue' EXIT 2025-09-07T10:07:26.8856697Z +++ printf '%s\n' ' 2025-09-07T10:07:26.8856898Z sccache_epilogue' 2025-09-07T10:07:26.8857109Z ++ printf '%s\n' cleanup_workspace 2025-09-07T10:07:26.8858683Z + trap -- ' 2025-09-07T10:07:26.8858862Z sccache_epilogue 2025-09-07T10:07:26.8859060Z cleanup_workspace' EXIT 2025-09-07T10:07:26.8859569Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T10:07:31.0931416Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T10:07:31.0956188Z + echo 'Environment variables:' 2025-09-07T10:07:31.0956547Z Environment variables: 2025-09-07T10:07:31.0956826Z + env 2025-09-07T10:07:31.0967121Z GITHUB_WORKSPACE=/home/charlie/_work/pytorch/pytorch 2025-09-07T10:07:31.0967718Z CONTINUE_THROUGH_ERROR=True 2025-09-07T10:07:31.0968127Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T10:07:31.0970809Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T10:07:31.0971185Z HOSTNAME=51b8384592ec 2025-09-07T10:07:31.0971790Z GITHUB_PATH=/home/charlie/_work/_temp/_runner_file_commands/add_path_6d81d6f2-7eb1-492a-a183-7be6b3ff6776 2025-09-07T10:07:31.0972448Z GITHUB_ACTION=__run_2 2025-09-07T10:07:31.0972756Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T10:07:31.0973099Z GITHUB_RUN_NUMBER=662 2025-09-07T10:07:31.0973438Z TEST_CONFIG=inductor_huggingface_perf_cuda_h100 2025-09-07T10:07:31.0973867Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T10:07:31.0974241Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T10:07:31.0974604Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T10:07:31.0975156Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T10:07:31.0975505Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T10:07:31.0975853Z GITHUB_REF_TYPE=branch 2025-09-07T10:07:31.0976184Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T10:07:31.0976559Z XLA_CUDA= 2025-09-07T10:07:31.0976821Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T10:07:31.0977452Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T10:07:31.0977945Z *** 2025-09-07T10:07:31.0978189Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T10:07:31.0978513Z GITHUB_ACTIONS=true 2025-09-07T10:07:31.0978796Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:07:31.0979187Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T10:07:31.0979638Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T10:07:31.0980076Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T10:07:31.0980835Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-h100.yml@refs/heads/main 2025-09-07T10:07:31.0981523Z UCC_HOME=/usr 2025-09-07T10:07:31.0981777Z VERBOSE_TEST_LOGS=False 2025-09-07T10:07:31.0982007Z GITHUB_REF=refs/heads/main 2025-09-07T10:07:31.0982227Z SHARD_NUMBER=5 2025-09-07T10:07:31.0982473Z GITHUB_REF_PROTECTED=true 2025-09-07T10:07:31.0982690Z HOME=/var/lib/jenkins 2025-09-07T10:07:31.0982902Z SCCACHE_SERVER_PORT=5229 2025-09-07T10:07:31.0983158Z GITHUB_API_URL=https://api.github.com 2025-09-07T10:07:31.0983445Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T10:07:31.0983735Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T10:07:31.0984022Z USE_SYSTEM_NCCL=1 2025-09-07T10:07:31.0984218Z NUM_TEST_SHARDS=5 2025-09-07T10:07:31.0984407Z UCX_HOME=/usr 2025-09-07T10:07:31.0984826Z GITHUB_STATE=/home/charlie/_work/_temp/_runner_file_commands/save_state_6d81d6f2-7eb1-492a-a183-7be6b3ff6776 2025-09-07T10:07:31.0985483Z JOB_NAME=test-weekly / test (inductor_huggingface_perf_cuda_h100, 5, 5, linux.aws.h100) 2025-09-07T10:07:31.0986113Z GITHUB_ENV=/home/charlie/_work/_temp/_runner_file_commands/set_env_6d81d6f2-7eb1-492a-a183-7be6b3ff6776 2025-09-07T10:07:31.0986689Z GITHUB_EVENT_PATH=/home/charlie/_work/_temp/_github_workflow/event.json 2025-09-07T10:07:31.0987054Z GITHUB_EVENT_NAME=schedule 2025-09-07T10:07:31.0988321Z 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 2025-09-07T10:07:31.0989789Z GITHUB_RUN_ID=17525296438 2025-09-07T10:07:31.0990011Z INSTALLED_OPENBLAS= 2025-09-07T10:07:31.0990480Z GITHUB_STEP_SUMMARY=/home/charlie/_work/_temp/_runner_file_commands/step_summary_6d81d6f2-7eb1-492a-a183-7be6b3ff6776 2025-09-07T10:07:31.0991009Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T10:07:31.0991239Z PR_NUMBER= 2025-09-07T10:07:31.0991614Z DESIRED_CUDA=12.8.1 2025-09-07T10:07:31.0991814Z GITHUB_RUN_ATTEMPT=1 2025-09-07T10:07:31.0991998Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T10:07:31.0992247Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T10:07:31.0992507Z TERM=vt100 2025-09-07T10:07:31.0992668Z INSTALLED_VISION=yes 2025-09-07T10:07:31.0992838Z BRANCH=main 2025-09-07T10:07:31.0993004Z SCCACHE_REGION=us-east-1 2025-09-07T10:07:31.0993210Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T10:07:31.0993421Z CUDA_PATH=/usr/local/cuda 2025-09-07T10:07:31.0993760Z GITHUB_ACTION_PATH=/home/charlie/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T10:07:31.0994147Z GITHUB_SERVER_URL=https://github.com 2025-09-07T10:07:31.0994428Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T10:07:31.0994689Z REENABLED_ISSUES= 2025-09-07T10:07:31.0994858Z DOCS= 2025-09-07T10:07:31.0995009Z SHLVL=1 2025-09-07T10:07:31.0995161Z MAX_JOBS=22 2025-09-07T10:07:31.0995328Z GITHUB_ACTOR_ID=97764156 2025-09-07T10:07:31.0995584Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T10:07:31.0995876Z GITHUB_REF_NAME=main 2025-09-07T10:07:31.0996179Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T10:07:31.0996503Z GITHUB_JOB=test 2025-09-07T10:07:31.0996673Z NO_TEST_TIMEOUT=False 2025-09-07T10:07:31.0996858Z TD_DISTRIBUTED=False 2025-09-07T10:07:31.0997057Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T10:07:31.0997416Z GITHUB_RETENTION_DAYS=90 2025-09-07T10:07:31.0997614Z OPENSSL_DIR=/opt/openssl 2025-09-07T10:07:31.0997819Z GITHUB_ACTION_REPOSITORY= 2025-09-07T10:07:31.0998410Z 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 2025-09-07T10:07:31.0999010Z GITHUB_BASE_REF= 2025-09-07T10:07:31.0999173Z INSTALLED_ACL= 2025-09-07T10:07:31.0999521Z ARTIFACTS_FILE_SUFFIX=test-inductor_huggingface_perf_cuda_h100-5-5-linux.aws.h100_49775781847 2025-09-07T10:07:31.0999911Z CI=true 2025-09-07T10:07:31.1000087Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T10:07:31.1000336Z RUST_LOG=sccache::server=error 2025-09-07T10:07:31.1000540Z JOB_ID=49775781847 2025-09-07T10:07:31.1000711Z GITHUB_HEAD_REF= 2025-09-07T10:07:31.1000881Z GITHUB_ACTION_REF= 2025-09-07T10:07:31.1001094Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T10:07:31.1001368Z TEST_SHOWLOCALS=False 2025-09-07T10:07:31.1001597Z GITHUB_WORKFLOW=inductor-perf-nightly-h100 2025-09-07T10:07:31.1001856Z DEBIAN_FRONTEND=noninteractive 2025-09-07T10:07:31.1002252Z GITHUB_OUTPUT=/home/charlie/_work/_temp/_runner_file_commands/set_output_6d81d6f2-7eb1-492a-a183-7be6b3ff6776 2025-09-07T10:07:31.1002652Z NO_TD=False 2025-09-07T10:07:31.1002830Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T10:07:31.1003050Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T10:07:31.1003272Z _=/usr/bin/env 2025-09-07T10:07:31.1003503Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T10:07:31.1250794Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-09-07T10:07:31.1251512Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-09-07T10:07:31.1252168Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-09-07T10:07:31.1252776Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-09-07T10:07:31.1253241Z + BUILD_DIR=build 2025-09-07T10:07:31.1253496Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T10:07:31.1254032Z + BUILD_BIN_DIR=build/bin 2025-09-07T10:07:31.1254292Z + SHARD_NUMBER=5 2025-09-07T10:07:31.1254528Z + NUM_TEST_SHARDS=5 2025-09-07T10:07:31.1254859Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T10:07:31.1255184Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T10:07:31.1255466Z + export VALGRIND=ON 2025-09-07T10:07:31.1255714Z + VALGRIND=ON 2025-09-07T10:07:31.1256032Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *clang9* ]] 2025-09-07T10:07:31.1256479Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *xpu* ]] 2025-09-07T10:07:31.1467010Z + detect_cuda_arch 2025-09-07T10:07:31.1467501Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T10:07:31.1467884Z + command -v nvidia-smi 2025-09-07T10:07:31.1468144Z /usr/bin/nvidia-smi 2025-09-07T10:07:31.1468447Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-09-07T10:07:31.1468803Z ++ tail -n 1 2025-09-07T10:07:31.1532947Z + TORCH_CUDA_ARCH_LIST=9.0 2025-09-07T10:07:31.1533253Z + export TORCH_CUDA_ARCH_LIST 2025-09-07T10:07:31.1533638Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *s390x* ]] 2025-09-07T10:07:31.1534028Z + [[ 0 == \1 ]] 2025-09-07T10:07:31.1534264Z + [[ True == \1 ]] 2025-09-07T10:07:31.1534599Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *bazel* ]] 2025-09-07T10:07:31.1539424Z ++ realpath build/custom_test_artifacts 2025-09-07T10:07:31.1551529Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T10:07:31.1552122Z + [[ -n '' ]] 2025-09-07T10:07:31.1552402Z + echo 'Environment variables' 2025-09-07T10:07:31.1552744Z Environment variables 2025-09-07T10:07:31.1553014Z + env 2025-09-07T10:07:31.1560876Z GITHUB_WORKSPACE=/home/charlie/_work/pytorch/pytorch 2025-09-07T10:07:31.1561349Z CONTINUE_THROUGH_ERROR=True 2025-09-07T10:07:31.1561773Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T10:07:31.1562425Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T10:07:31.1562751Z HOSTNAME=51b8384592ec 2025-09-07T10:07:31.1563327Z GITHUB_PATH=/home/charlie/_work/_temp/_runner_file_commands/add_path_6d81d6f2-7eb1-492a-a183-7be6b3ff6776 2025-09-07T10:07:31.1563993Z GITHUB_ACTION=__run_2 2025-09-07T10:07:31.1564290Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T10:07:31.1564624Z GITHUB_RUN_NUMBER=662 2025-09-07T10:07:31.1564961Z TEST_CONFIG=inductor_huggingface_perf_cuda_h100 2025-09-07T10:07:31.1565372Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T10:07:31.1565738Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T10:07:31.1566098Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T10:07:31.1566543Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T10:07:31.1566890Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T10:07:31.1567245Z GITHUB_REF_TYPE=branch 2025-09-07T10:07:31.1567693Z TORCH_CUDA_ARCH_LIST=9.0 2025-09-07T10:07:31.1568041Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T10:07:31.1568411Z XLA_CUDA= 2025-09-07T10:07:31.1568666Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T10:07:31.1569148Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T10:07:31.1569831Z *** 2025-09-07T10:07:31.1570073Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T10:07:31.1570407Z GITHUB_ACTIONS=true 2025-09-07T10:07:31.1570697Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T10:07:31.1571093Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T10:07:31.1571532Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T10:07:31.1571935Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T10:07:31.1572612Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-h100.yml@refs/heads/main 2025-09-07T10:07:31.1573237Z UCC_HOME=/usr 2025-09-07T10:07:31.1573470Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T10:07:31.1573765Z VERBOSE_TEST_LOGS=False 2025-09-07T10:07:31.1574031Z GITHUB_REF=refs/heads/main 2025-09-07T10:07:31.1574294Z SHARD_NUMBER=5 2025-09-07T10:07:31.1574526Z GITHUB_REF_PROTECTED=true 2025-09-07T10:07:31.1574892Z HOME=/var/lib/jenkins 2025-09-07T10:07:31.1575147Z SCCACHE_SERVER_PORT=5229 2025-09-07T10:07:31.1575445Z GITHUB_API_URL=https://api.github.com 2025-09-07T10:07:31.1575785Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T10:07:31.1576368Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T10:07:31.1576720Z USE_SYSTEM_NCCL=1 2025-09-07T10:07:31.1576958Z NUM_TEST_SHARDS=5 2025-09-07T10:07:31.1577179Z UCX_HOME=/usr 2025-09-07T10:07:31.1577859Z GITHUB_STATE=/home/charlie/_work/_temp/_runner_file_commands/save_state_6d81d6f2-7eb1-492a-a183-7be6b3ff6776 2025-09-07T10:07:31.1578642Z JOB_NAME=test-weekly / test (inductor_huggingface_perf_cuda_h100, 5, 5, linux.aws.h100) 2025-09-07T10:07:31.1579585Z GITHUB_ENV=/home/charlie/_work/_temp/_runner_file_commands/set_env_6d81d6f2-7eb1-492a-a183-7be6b3ff6776 2025-09-07T10:07:31.1580295Z GITHUB_EVENT_PATH=/home/charlie/_work/_temp/_github_workflow/event.json 2025-09-07T10:07:31.1580746Z GITHUB_EVENT_NAME=schedule 2025-09-07T10:07:31.1582021Z 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 2025-09-07T10:07:31.1583083Z GITHUB_RUN_ID=17525296438 2025-09-07T10:07:31.1583289Z INSTALLED_OPENBLAS= 2025-09-07T10:07:31.1583723Z GITHUB_STEP_SUMMARY=/home/charlie/_work/_temp/_runner_file_commands/step_summary_6d81d6f2-7eb1-492a-a183-7be6b3ff6776 2025-09-07T10:07:31.1584222Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T10:07:31.1584433Z PR_NUMBER= 2025-09-07T10:07:31.1584599Z DESIRED_CUDA=12.8.1 2025-09-07T10:07:31.1584787Z GITHUB_RUN_ATTEMPT=1 2025-09-07T10:07:31.1584975Z VALGRIND=ON 2025-09-07T10:07:31.1585155Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T10:07:31.1585417Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T10:07:31.1585689Z TERM=vt100 2025-09-07T10:07:31.1585851Z INSTALLED_VISION=yes 2025-09-07T10:07:31.1586036Z BRANCH=main 2025-09-07T10:07:31.1586210Z SCCACHE_REGION=us-east-1 2025-09-07T10:07:31.1586429Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T10:07:31.1586651Z CUDA_PATH=/usr/local/cuda 2025-09-07T10:07:31.1587009Z GITHUB_ACTION_PATH=/home/charlie/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T10:07:31.1587627Z GITHUB_SERVER_URL=https://github.com 2025-09-07T10:07:31.1587913Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T10:07:31.1588186Z REENABLED_ISSUES= 2025-09-07T10:07:31.1588368Z DOCS= 2025-09-07T10:07:31.1588527Z SHLVL=1 2025-09-07T10:07:31.1588685Z MAX_JOBS=22 2025-09-07T10:07:31.1588852Z GITHUB_ACTOR_ID=97764156 2025-09-07T10:07:31.1589125Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T10:07:31.1589442Z GITHUB_REF_NAME=main 2025-09-07T10:07:31.1589754Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T10:07:31.1590096Z GITHUB_JOB=test 2025-09-07T10:07:31.1590278Z NO_TEST_TIMEOUT=False 2025-09-07T10:07:31.1590478Z TD_DISTRIBUTED=False 2025-09-07T10:07:31.1590687Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T10:07:31.1590921Z GITHUB_RETENTION_DAYS=90 2025-09-07T10:07:31.1591129Z OPENSSL_DIR=/opt/openssl 2025-09-07T10:07:31.1591347Z GITHUB_ACTION_REPOSITORY= 2025-09-07T10:07:31.1591957Z 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 2025-09-07T10:07:31.1592524Z GITHUB_BASE_REF= 2025-09-07T10:07:31.1592684Z INSTALLED_ACL= 2025-09-07T10:07:31.1593018Z ARTIFACTS_FILE_SUFFIX=test-inductor_huggingface_perf_cuda_h100-5-5-linux.aws.h100_49775781847 2025-09-07T10:07:31.1593388Z CI=true 2025-09-07T10:07:31.1593552Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T10:07:31.1593792Z RUST_LOG=sccache::server=error 2025-09-07T10:07:31.1593991Z JOB_ID=49775781847 2025-09-07T10:07:31.1594155Z GITHUB_HEAD_REF= 2025-09-07T10:07:31.1594316Z GITHUB_ACTION_REF= 2025-09-07T10:07:31.1594529Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T10:07:31.1594791Z TEST_SHOWLOCALS=False 2025-09-07T10:07:31.1594999Z GITHUB_WORKFLOW=inductor-perf-nightly-h100 2025-09-07T10:07:31.1595239Z DEBIAN_FRONTEND=noninteractive 2025-09-07T10:07:31.1595636Z GITHUB_OUTPUT=/home/charlie/_work/_temp/_runner_file_commands/set_output_6d81d6f2-7eb1-492a-a183-7be6b3ff6776 2025-09-07T10:07:31.1596200Z NO_TD=False 2025-09-07T10:07:31.1596368Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T10:07:31.1596589Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T10:07:31.1596814Z _=/usr/bin/env 2025-09-07T10:07:31.1596979Z + echo 'Testing pytorch' 2025-09-07T10:07:31.1597166Z Testing pytorch 2025-09-07T10:07:31.1597468Z + export LANG=C.UTF-8 2025-09-07T10:07:31.1597645Z + LANG=C.UTF-8 2025-09-07T10:07:31.1597805Z + PR_NUMBER= 2025-09-07T10:07:31.1598159Z + [[ inductor_huggingface_perf_cuda_h100 == \d\e\f\a\u\l\t ]] 2025-09-07T10:07:31.1598503Z + [[ inductor_huggingface_perf_cuda_h100 == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T10:07:31.1598830Z + [[ inductor_huggingface_perf_cuda_h100 == \s\l\o\w ]] 2025-09-07T10:07:31.1599157Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *slow-gradcheck* ]] 2025-09-07T10:07:31.1599486Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T10:07:31.1599767Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T10:07:31.1600022Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T10:07:31.1600285Z + [[ inductor_huggingface_perf_cuda_h100 == *crossref* ]] 2025-09-07T10:07:31.1600583Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T10:07:31.1600875Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *xpu* ]] 2025-09-07T10:07:31.1601179Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *-bazel-* ]] 2025-09-07T10:07:31.1601452Z + pip_install ninja==1.10.2 2025-09-07T10:07:31.1601721Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T10:07:31.1602051Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T10:07:31.9373651Z Collecting ninja==1.10.2 2025-09-07T10:07:31.9673385Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T10:07:32.8031827Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T10:07:34.4079492Z Installing collected packages: ninja 2025-09-07T10:07:34.4079889Z Attempting uninstall: ninja 2025-09-07T10:07:34.4087636Z Found existing installation: ninja 1.11.1.3 2025-09-07T10:07:34.4109390Z Uninstalling ninja-1.11.1.3: 2025-09-07T10:07:35.1363131Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T10:07:35.9759109Z Successfully installed ninja-1.10.2 2025-09-07T10:07:36.0428806Z + 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 2025-09-07T10:07:36.0430249Z + 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 2025-09-07T10:07:36.0431120Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *aarch64* ]] 2025-09-07T10:07:36.0431505Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *asan* ]] 2025-09-07T10:07:36.0431872Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-debug* ]] 2025-09-07T10:07:36.0432265Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *-bazel-* ]] 2025-09-07T10:07:36.0432788Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm90. Expect the assertion to pass' 2025-09-07T10:07:36.0433435Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm90. Expect the assertion to pass 2025-09-07T10:07:36.0433879Z + cd test 2025-09-07T10:07:36.0434160Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T10:07:36.5747672Z /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. 2025-09-07T10:07:36.5749008Z import pynvml # type: ignore[import] 2025-09-07T10:07:37.5669268Z + [[ inductor_huggingface_perf_cuda_h100 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T10:07:37.5670426Z + [[ inductor_huggingface_perf_cuda_h100 == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T10:07:37.5670924Z + [[ inductor_huggingface_perf_cuda_h100 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T10:07:37.5672327Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T10:07:37.5673309Z + [[ inductor_huggingface_perf_cuda_h100 == *pr_time_benchmarks* ]] 2025-09-07T10:07:37.5673804Z + [[ inductor_huggingface_perf_cuda_h100 == *dynamo_eager* ]] 2025-09-07T10:07:37.5674843Z + [[ inductor_huggingface_perf_cuda_h100 == *aot_eager* ]] 2025-09-07T10:07:37.5675222Z + [[ inductor_huggingface_perf_cuda_h100 == *aot_inductor* ]] 2025-09-07T10:07:37.5675626Z + [[ inductor_huggingface_perf_cuda_h100 == *max_autotune_inductor* ]] 2025-09-07T10:07:37.5676009Z + [[ inductor_huggingface_perf_cuda_h100 == *inductor* ]] 2025-09-07T10:07:37.5676346Z + [[ inductor_huggingface_perf_cuda_h100 != *perf* ]] 2025-09-07T10:07:37.5676673Z + [[ inductor_huggingface_perf_cuda_h100 == *dynamic* ]] 2025-09-07T10:07:37.5676977Z + [[ inductor_huggingface_perf_cuda_h100 == *cpu* ]] 2025-09-07T10:07:37.5677731Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-09-07T10:07:37.5691151Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *libtorch* ]] 2025-09-07T10:07:37.5691527Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-bazel-* ]] 2025-09-07T10:07:37.5695204Z + cd test 2025-09-07T10:07:37.5695797Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T10:07:38.1876343Z /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. 2025-09-07T10:07:38.1878323Z import pynvml # type: ignore[import] 2025-09-07T10:07:39.7973337Z PyTorch built with: 2025-09-07T10:07:39.7973637Z - GCC 9.5 2025-09-07T10:07:39.7973852Z - C++ Version: 201703 2025-09-07T10:07:39.7974373Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T10:07:39.7975138Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T10:07:39.7975538Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T10:07:39.7975857Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T10:07:39.7976156Z - NNPACK is enabled 2025-09-07T10:07:39.7976384Z - CPU capability usage: AVX2 2025-09-07T10:07:39.7976631Z - CUDA Runtime 12.8 2025-09-07T10:07:39.7976953Z - NVCC architecture flags: -gencode;arch=compute_90,code=sm_90 2025-09-07T10:07:39.7977473Z - CuDNN 90.8 2025-09-07T10:07:39.7981482Z - 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, 2025-09-07T10:07:39.7985551Z 2025-09-07T10:07:40.3949140Z + cd test 2025-09-07T10:07:40.3949484Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T10:07:40.9718107Z /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. 2025-09-07T10:07:40.9719877Z import pynvml # type: ignore[import] 2025-09-07T10:07:41.6853151Z ATen/Parallel: 2025-09-07T10:07:41.6853483Z at::get_num_threads() : 24 2025-09-07T10:07:41.6853772Z at::get_num_interop_threads() : 96 2025-09-07T10:07:41.6854558Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T10:07:41.6854984Z omp_get_max_threads() : 24 2025-09-07T10:07:41.6855493Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T10:07:41.6856020Z mkl_get_max_threads() : 24 2025-09-07T10:07:41.6856358Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T10:07:41.6856761Z std::thread::hardware_concurrency() : 192 2025-09-07T10:07:41.6857058Z Environment variables: 2025-09-07T10:07:41.6857722Z OMP_NUM_THREADS : [not set] 2025-09-07T10:07:41.6857984Z MKL_NUM_THREADS : [not set] 2025-09-07T10:07:41.6858231Z ATen parallel backend: OpenMP 2025-09-07T10:07:41.6858400Z 2025-09-07T10:07:41.9666680Z + [[ inductor_huggingface_perf_cuda_h100 == *numpy_2* ]] 2025-09-07T10:07:41.9667113Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *aarch64* ]] 2025-09-07T10:07:41.9669429Z + [[ inductor_huggingface_perf_cuda_h100 == *backward* ]] 2025-09-07T10:07:41.9669804Z + [[ inductor_huggingface_perf_cuda_h100 == *xla* ]] 2025-09-07T10:07:41.9670143Z + [[ inductor_huggingface_perf_cuda_h100 == *vllm* ]] 2025-09-07T10:07:41.9670494Z + [[ inductor_huggingface_perf_cuda_h100 == *executorch* ]] 2025-09-07T10:07:41.9670892Z + [[ inductor_huggingface_perf_cuda_h100 == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T10:07:41.9671302Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *libtorch* ]] 2025-09-07T10:07:41.9671689Z + [[ inductor_huggingface_perf_cuda_h100 == distributed ]] 2025-09-07T10:07:41.9672112Z + [[ inductor_huggingface_perf_cuda_h100 == *operator_benchmark* ]] 2025-09-07T10:07:41.9672561Z + [[ inductor_huggingface_perf_cuda_h100 == *inductor_distributed* ]] 2025-09-07T10:07:41.9672996Z + [[ inductor_huggingface_perf_cuda_h100 == *inductor-halide* ]] 2025-09-07T10:07:41.9673426Z + [[ inductor_huggingface_perf_cuda_h100 == *inductor-triton-cpu* ]] 2025-09-07T10:07:41.9673882Z + [[ inductor_huggingface_perf_cuda_h100 == *inductor-micro-benchmark* ]] 2025-09-07T10:07:41.9674319Z + [[ inductor_huggingface_perf_cuda_h100 == *huggingface* ]] 2025-09-07T10:07:41.9674649Z + install_torchvision 2025-09-07T10:07:41.9674873Z + local orig_preload 2025-09-07T10:07:41.9675072Z + local commit 2025-09-07T10:07:41.9675273Z ++ get_pinned_commit vision 2025-09-07T10:07:41.9675522Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T10:07:41.9687692Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T10:07:41.9687964Z + orig_preload= 2025-09-07T10:07:41.9688138Z + '[' -n '' ']' 2025-09-07T10:07:41.9688383Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T10:07:41.9688673Z + export FORCE_CUDA=1 2025-09-07T10:07:41.9688865Z + FORCE_CUDA=1 2025-09-07T10:07:41.9689038Z + export WITH_CUDA=1 2025-09-07T10:07:41.9689227Z + WITH_CUDA=1 2025-09-07T10:07:41.9689692Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T10:07:41.9690416Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T10:07:41.9690875Z + local wheel_dir=dist/vision 2025-09-07T10:07:41.9691095Z + local found_whl=0 2025-09-07T10:07:41.9691299Z + for file in "${wheel_dir}"/*.whl 2025-09-07T10:07:41.9691668Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T10:07:41.9692028Z + found_whl=1 2025-09-07T10:07:41.9692199Z + break 2025-09-07T10:07:41.9692357Z + '[' 1 == 0 ']' 2025-09-07T10:07:41.9692545Z + for file in "${wheel_dir}"/*.whl 2025-09-07T10:07:41.9693285Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T10:07:41.9693820Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl') 2025-09-07T10:07:41.9694197Z + local args 2025-09-07T10:07:41.9694519Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T10:07:41.9695044Z + for path in "${args[@]}" 2025-09-07T10:07:41.9695622Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl' 2025-09-07T10:07:41.9696180Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T10:07:41.9696811Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T10:07:42.3071845Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T10:07:42.3156392Z Installing collected packages: torchvision 2025-09-07T10:07:42.7461259Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T10:07:42.7825113Z + '[' -n '' ']' 2025-09-07T10:07:42.7825374Z + id=4 2025-09-07T10:07:42.7825605Z + test_dynamo_benchmark huggingface 4 2025-09-07T10:07:42.7830290Z ++ pwd 2025-09-07T10:07:42.7833025Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T10:07:42.7833379Z + local suite=huggingface 2025-09-07T10:07:42.7833614Z + shift 2025-09-07T10:07:42.7833789Z + local shard_id=4 2025-09-07T10:07:42.7833980Z + shift 2025-09-07T10:07:42.7834274Z + [[ inductor_huggingface_perf_cuda_h100 == *perf_compare* ]] 2025-09-07T10:07:42.7834649Z + [[ inductor_huggingface_perf_cuda_h100 == *perf* ]] 2025-09-07T10:07:42.7834989Z + [[ inductor_huggingface_perf_cuda_h100 == *b200* ]] 2025-09-07T10:07:42.7835334Z + test_single_dynamo_benchmark dashboard huggingface 4 2025-09-07T10:07:42.7837934Z ++ pwd 2025-09-07T10:07:42.7840209Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T10:07:42.7840582Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T10:07:42.7859984Z + local name=dashboard 2025-09-07T10:07:42.7860222Z + shift 2025-09-07T10:07:42.7860407Z + local suite=huggingface 2025-09-07T10:07:42.7860627Z + shift 2025-09-07T10:07:42.7860804Z + local shard_id=4 2025-09-07T10:07:42.7861000Z + shift 2025-09-07T10:07:42.7861194Z + partition_flags=() 2025-09-07T10:07:42.7861417Z + local partition_flags 2025-09-07T10:07:42.7861636Z + [[ -n 5 ]] 2025-09-07T10:07:42.7861828Z + [[ -n 4 ]] 2025-09-07T10:07:42.7862196Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T10:07:42.7862709Z + [[ inductor_huggingface_perf_cuda_h100 == *perf_compare* ]] 2025-09-07T10:07:42.7863104Z + [[ inductor_huggingface_perf_cuda_h100 == *perf* ]] 2025-09-07T10:07:42.7863593Z + test_perf_for_dashboard huggingface --device cuda --total-partitions 5 --partition-id 4 2025-09-07T10:07:42.7865176Z ++ pwd 2025-09-07T10:07:42.7867522Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T10:07:42.7867948Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T10:07:42.7880752Z + local suite=huggingface 2025-09-07T10:07:42.7880986Z + shift 2025-09-07T10:07:42.7881152Z + local backend=inductor 2025-09-07T10:07:42.7881350Z + modes=() 2025-09-07T10:07:42.7881512Z + local modes 2025-09-07T10:07:42.7882562Z + [[ 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* ]] 2025-09-07T10:07:42.7883779Z + modes+=(training) 2025-09-07T10:07:42.7884832Z + [[ 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* ]] 2025-09-07T10:07:42.7885930Z + modes+=(inference) 2025-09-07T10:07:42.7886142Z + targets=('accuracy' 'performance') 2025-09-07T10:07:42.7886889Z + local targets 2025-09-07T10:07:42.7887071Z + local device=cuda 2025-09-07T10:07:42.7887427Z + [[ inductor_huggingface_perf_cuda_h100 == *cpu* ]] 2025-09-07T10:07:42.7887763Z + [[ inductor_huggingface_perf_cuda_h100 == *cuda_a10g* ]] 2025-09-07T10:07:42.7888101Z + [[ inductor_huggingface_perf_cuda_h100 == *h100* ]] 2025-09-07T10:07:42.7888369Z + device=cuda_h100 2025-09-07T10:07:42.7888560Z + for mode in "${modes[@]}" 2025-09-07T10:07:42.7888778Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:07:42.7889269Z + [[ training == \t\r\a\i\n\i\n\g ]] 2025-09-07T10:07:42.7889502Z + dtype=amp 2025-09-07T10:07:42.7889673Z + for target in "${targets[@]}" 2025-09-07T10:07:42.7889898Z + target_flag=('--accuracy') 2025-09-07T10:07:42.7890108Z + local target_flag 2025-09-07T10:07:42.7890303Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T10:07:42.7890543Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T10:07:42.7890818Z + target_flag+=(--no-translation-validation) 2025-09-07T10:07:42.7891942Z + [[ 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* ]] 2025-09-07T10:07:42.7893883Z + [[ 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* ]] 2025-09-07T10:07:42.7895972Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.csv 2025-09-07T10:07:43.8552857Z /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. 2025-09-07T10:07:43.8554128Z import pynvml # type: ignore[import] 2025-09-07T10:07:47.0568291Z /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. 2025-09-07T10:07:47.0569738Z from pkg_resources import resource_filename 2025-09-07T10:07:47.4216711Z 2025-09-07T10:07:47.4217424Z config.json: 0% 0.00/694 [00:00 will be ignored 2025-09-07T10:10:14.3373231Z E0907 10:10:14.336000 2730 site-packages/torch/_dynamo/utils.py:3115] RMSE (res-fp64): 0.15357, (ref-fp64): 0.00990 and shape=torch.Size([]). res.dtype: torch.float32, multiplier: 3.000000, tol: 0.010000, use_larger_multiplier_for_smaller_tensor: 0 2025-09-07T10:10:14.3626159Z fail_accuracy 2025-09-07T10:10:19.7210443Z /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. 2025-09-07T10:10:19.7212394Z import pynvml # type: ignore[import] 2025-09-07T10:10:22.8117834Z /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. 2025-09-07T10:10:22.8119542Z from pkg_resources import resource_filename 2025-09-07T10:10:23.4064813Z 2025-09-07T10:10:25.1542334Z loading model: 0it [00:00, ?it/s]We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T10:10:25.1544505Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T10:10:25.1546836Z WARNING:transformers.modeling_utils:We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T10:10:25.1549215Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T10:10:25.4391606Z 2025-09-07T10:10:25.4391797Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:10:25.4392184Z cuda train RobertaForQuestionAnswering 2025-09-07T10:10:48.4466358Z W0907 10:10:48.445000 3580 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:11:15.3968823Z pass 2025-09-07T10:11:20.5648764Z /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. 2025-09-07T10:11:20.5650052Z import pynvml # type: ignore[import] 2025-09-07T10:11:23.6094828Z /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. 2025-09-07T10:11:23.6096322Z from pkg_resources import resource_filename 2025-09-07T10:11:24.2244193Z 2025-09-07T10:11:25.9916734Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:11:25.9917105Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:11:25.9917834Z cuda train T5ForConditionalGeneration 2025-09-07T10:11:54.0728373Z W0907 10:11:54.071000 4118 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:12:13.5420258Z pass 2025-09-07T10:12:18.1368168Z /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. 2025-09-07T10:12:18.1369417Z import pynvml # type: ignore[import] 2025-09-07T10:12:21.2134410Z /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. 2025-09-07T10:12:21.2135909Z from pkg_resources import resource_filename 2025-09-07T10:12:21.8295435Z 2025-09-07T10:12:23.8305558Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:12:23.8305896Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:12:23.8306172Z cuda train T5Small 2025-09-07T10:12:31.0762236Z W0907 10:12:31.075000 4933 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:12:34.9580213Z pass 2025-09-07T10:12:38.3641142Z /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. 2025-09-07T10:12:38.3642457Z import pynvml # type: ignore[import] 2025-09-07T10:12:41.5219134Z /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. 2025-09-07T10:12:41.5221004Z from pkg_resources import resource_filename 2025-09-07T10:12:42.2312189Z 2025-09-07T10:12:45.6461096Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:12:45.6461441Z loading model: 0it [00:03, ?it/s] 2025-09-07T10:12:45.6461739Z cuda train TrOCRForCausalLM 2025-09-07T10:12:45.6732770Z WARNING:common:fp64 golden ref were not generated for TrOCRForCausalLM. Setting accuracy check to cosine 2025-09-07T10:12:54.2298652Z pass 2025-09-07T10:12:57.7919072Z /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. 2025-09-07T10:12:57.7920360Z import pynvml # type: ignore[import] 2025-09-07T10:13:00.9141720Z /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. 2025-09-07T10:13:00.9143923Z from pkg_resources import resource_filename 2025-09-07T10:13:01.5165271Z 2025-09-07T10:13:09.9377197Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:13:09.9377762Z loading model: 0it [00:08, ?it/s] 2025-09-07T10:13:09.9378074Z cuda train XGLMForCausalLM 2025-09-07T10:13:09.9717073Z WARNING:common:fp64 golden ref were not generated for XGLMForCausalLM. Setting accuracy check to cosine 2025-09-07T10:13:18.9035482Z pass 2025-09-07T10:13:22.4026918Z /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. 2025-09-07T10:13:22.4028586Z import pynvml # type: ignore[import] 2025-09-07T10:13:25.4629746Z /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. 2025-09-07T10:13:25.4631155Z from pkg_resources import resource_filename 2025-09-07T10:13:26.0690825Z 2025-09-07T10:13:30.4669775Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:13:30.4670115Z loading model: 0it [00:04, ?it/s] 2025-09-07T10:13:30.4670435Z cuda train XLNetLMHeadModel 2025-09-07T10:14:04.2390558Z W0907 10:14:04.238000 6426 site-packages/torch/_inductor/utils.py:2298] [2/0_1] DeviceCopy in input program 2025-09-07T10:14:38.9753920Z W0907 10:14:38.974000 6426 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:15:34.7894326Z pass 2025-09-07T10:15:42.1766452Z /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. 2025-09-07T10:15:42.1768066Z import pynvml # type: ignore[import] 2025-09-07T10:15:45.2528610Z /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. 2025-09-07T10:15:45.2530166Z from pkg_resources import resource_filename 2025-09-07T10:15:45.8471063Z 2025-09-07T10:15:48.3344004Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:15:48.3344353Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:15:48.3344660Z cuda train YituTechConvBert 2025-09-07T10:16:27.0199394Z W0907 10:16:27.018000 7586 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:17:08.0412206Z pass 2025-09-07T10:17:13.2718756Z accuracy pass_rate=91.67% 2025-09-07T10:17:13.2723663Z calls_captured gmean=358.94x mean=902.000x 2025-09-07T10:17:13.2725738Z unique_graphs gmean=3.85x mean=4.750x 2025-09-07T10:17:13.2729474Z graph_breaks gmean=5.68x mean=5.750x 2025-09-07T10:17:13.2732997Z unique_graph_breaks gmean=4.39x mean=4.417x 2025-09-07T10:17:13.2735554Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:17:13.2738843Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:17:13.2741788Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T10:17:13.2743182Z compilation_latency mean=33.827 seconds 2025-09-07T10:17:14.6995850Z + [[ 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* ]] 2025-09-07T10:17:14.6998450Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 5 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.csv 2025-09-07T10:17:15.7204060Z /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. 2025-09-07T10:17:15.7205484Z import pynvml # type: ignore[import] 2025-09-07T10:17:18.8446247Z /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. 2025-09-07T10:17:18.8448854Z from pkg_resources import resource_filename 2025-09-07T10:17:21.2394950Z /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. 2025-09-07T10:17:21.2396834Z import pynvml # type: ignore[import] 2025-09-07T10:17:24.3003429Z /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. 2025-09-07T10:17:24.3005529Z from pkg_resources import resource_filename 2025-09-07T10:17:24.9472457Z 2025-09-07T10:17:26.8809785Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:17:26.8810114Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:17:26.8810373Z cuda train PLBartForCausalLM 2025-09-07T10:17:34.0228439Z 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/plbart/modeling_plbart.py", line 298, in forward 2025-09-07T10:17:34.0229626Z return super().forward(position_ids + self.offset) 2025-09-07T10:17:34.0229916Z 2025-09-07T10:17:34.0229920Z 2025-09-07T10:17:34.1843089Z 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/plbart/modeling_plbart.py", line 70, in forward 2025-09-07T10:17:34.1844782Z return super().forward(input_ids) * self.embed_scale 2025-09-07T10:17:34.1845159Z 2025-09-07T10:17:34.1845166Z 2025-09-07T10:17:34.5015196Z pass 2025-09-07T10:17:37.9362038Z /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. 2025-09-07T10:17:37.9363555Z import pynvml # type: ignore[import] 2025-09-07T10:17:41.1364400Z /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. 2025-09-07T10:17:41.1366391Z from pkg_resources import resource_filename 2025-09-07T10:17:41.7966911Z 2025-09-07T10:17:45.1171967Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:17:45.1172353Z loading model: 0it [00:03, ?it/s] 2025-09-07T10:17:45.1172734Z cuda train PLBartForConditionalGeneration 2025-09-07T10:17:48.9132199Z 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/plbart/modeling_plbart.py", line 70, in forward 2025-09-07T10:17:48.9133315Z return super().forward(input_ids) * self.embed_scale 2025-09-07T10:17:48.9133559Z 2025-09-07T10:17:48.9133564Z 2025-09-07T10:17:51.1769041Z 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/plbart/modeling_plbart.py", line 298, in forward 2025-09-07T10:17:51.1770224Z return super().forward(position_ids + self.offset) 2025-09-07T10:17:51.1770469Z 2025-09-07T10:17:51.1770474Z 2025-09-07T10:17:55.7125762Z 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/plbart/modeling_plbart.py", line 298, in forward 2025-09-07T10:17:55.7127020Z return super().forward(position_ids + self.offset) 2025-09-07T10:17:55.7127242Z 2025-09-07T10:17:55.7127246Z 2025-09-07T10:17:56.5484241Z pass 2025-09-07T10:18:00.4440445Z /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. 2025-09-07T10:18:00.4442389Z import pynvml # type: ignore[import] 2025-09-07T10:18:03.4866412Z /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. 2025-09-07T10:18:03.4868227Z from pkg_resources import resource_filename 2025-09-07T10:18:04.0755049Z 2025-09-07T10:18:09.3011778Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:18:09.3012146Z loading model: 0it [00:05, ?it/s] 2025-09-07T10:18:09.3012453Z cuda train PegasusForCausalLM 2025-09-07T10:18:16.8335001Z pass 2025-09-07T10:18:20.3608624Z /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. 2025-09-07T10:18:20.3609899Z import pynvml # type: ignore[import] 2025-09-07T10:18:23.5332595Z /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. 2025-09-07T10:18:23.5334900Z from pkg_resources import resource_filename 2025-09-07T10:18:24.1327758Z 2025-09-07T10:18:32.7102676Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:18:32.7103010Z loading model: 0it [00:08, ?it/s] 2025-09-07T10:18:32.7103308Z cuda train PegasusForConditionalGeneration 2025-09-07T10:18:45.3551486Z pass 2025-09-07T10:18:48.9899219Z /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. 2025-09-07T10:18:48.9901182Z import pynvml # type: ignore[import] 2025-09-07T10:18:52.0978099Z /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. 2025-09-07T10:18:52.0980288Z from pkg_resources import resource_filename 2025-09-07T10:18:52.6721555Z 2025-09-07T10:18:52.6852710Z loading model: 0it [00:00, ?it/s]If you want to use `RobertaLMHeadModel` as a standalone, add `is_decoder=True.` 2025-09-07T10:18:52.6853476Z WARNING:transformers.models.roberta.modeling_roberta:If you want to use `RobertaLMHeadModel` as a standalone, add `is_decoder=True.` 2025-09-07T10:18:54.9692014Z We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T10:18:54.9693299Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T10:18:54.9694762Z WARNING:transformers.modeling_utils:We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T10:18:54.9696050Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T10:18:55.2389832Z 2025-09-07T10:18:55.2390099Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:18:55.2390458Z cuda train RobertaForCausalLM 2025-09-07T10:19:18.9618366Z 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 2025-09-07T10:19:18.9619880Z pred = mod(**cloned_inputs) 2025-09-07T10:19:18.9620714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 999, in forward 2025-09-07T10:19:18.9621608Z outputs = self.roberta( 2025-09-07T10:19:18.9622404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 826, in forward 2025-09-07T10:19:18.9623249Z embedding_output = self.embeddings( 2025-09-07T10:19:18.9624085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 117, in forward 2025-09-07T10:19:18.9625044Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T10:19:18.9625416Z 2025-09-07T10:19:18.9625420Z 2025-09-07T10:19:19.1846563Z W0907 10:19:19.183000 9752 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:19:46.9064602Z Run failed with return code: -11 2025-09-07T10:19:46.9064935Z Output: None 2025-09-07T10:19:46.9065131Z Error: None 2025-09-07T10:19:47.8481837Z /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. 2025-09-07T10:19:47.8483969Z import pynvml # type: ignore[import] 2025-09-07T10:19:50.9168169Z /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. 2025-09-07T10:19:50.9169567Z from pkg_resources import resource_filename 2025-09-07T10:19:51.5884694Z 2025-09-07T10:19:53.3605732Z loading model: 0it [00:00, ?it/s]We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T10:19:53.3607174Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T10:19:53.3608942Z WARNING:transformers.modeling_utils:We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T10:19:53.3610301Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T10:19:53.6599870Z 2025-09-07T10:19:53.6600185Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:19:53.6600563Z cuda train RobertaForQuestionAnswering 2025-09-07T10:20:17.0009831Z 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 2025-09-07T10:20:17.0011084Z pred = mod(**cloned_inputs) 2025-09-07T10:20:17.0011668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 1516, in forward 2025-09-07T10:20:17.0012241Z outputs = self.roberta( 2025-09-07T10:20:17.0012795Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 826, in forward 2025-09-07T10:20:17.0013367Z embedding_output = self.embeddings( 2025-09-07T10:20:17.0013921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 117, in forward 2025-09-07T10:20:17.0014652Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T10:20:17.0014908Z 2025-09-07T10:20:17.0014912Z 2025-09-07T10:20:17.2188695Z W0907 10:20:17.218000 10007 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:20:44.4203004Z Run failed with return code: -11 2025-09-07T10:20:44.4203359Z Output: None 2025-09-07T10:20:44.4203734Z Error: None 2025-09-07T10:20:45.4648550Z /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. 2025-09-07T10:20:45.4650467Z import pynvml # type: ignore[import] 2025-09-07T10:20:48.5098889Z /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. 2025-09-07T10:20:48.5101626Z from pkg_resources import resource_filename 2025-09-07T10:20:49.0949226Z 2025-09-07T10:20:50.7749760Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:20:50.7750093Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:20:50.7750388Z cuda train T5ForConditionalGeneration 2025-09-07T10:21:19.2725517Z 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 2025-09-07T10:21:19.2726632Z pred = mod(**cloned_inputs) 2025-09-07T10:21:19.2727216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward 2025-09-07T10:21:19.2728163Z decoder_outputs = self.decoder( 2025-09-07T10:21:19.2728749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward 2025-09-07T10:21:19.2729338Z layer_outputs = layer_module( 2025-09-07T10:21:19.2729899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T10:21:19.2730499Z return super().__call__(*args, **kwargs) 2025-09-07T10:21:19.2731016Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward 2025-09-07T10:21:19.2731541Z self_attention_outputs = self.layer[0]( 2025-09-07T10:21:19.2732059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward 2025-09-07T10:21:19.2732577Z attention_output = self.SelfAttention( 2025-09-07T10:21:19.2733095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 539, in forward 2025-09-07T10:21:19.2733609Z position_bias = self.compute_bias( 2025-09-07T10:21:19.2734136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 463, in compute_bias 2025-09-07T10:21:19.2734979Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T10:21:19.2735373Z 2025-09-07T10:21:19.2735383Z 2025-09-07T10:21:19.4531552Z W0907 10:21:19.452000 10262 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:21:37.2335242Z pass 2025-09-07T10:21:41.9891887Z /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. 2025-09-07T10:21:41.9893858Z import pynvml # type: ignore[import] 2025-09-07T10:21:45.0926804Z /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. 2025-09-07T10:21:45.0928404Z from pkg_resources import resource_filename 2025-09-07T10:21:45.7381264Z 2025-09-07T10:21:47.3605306Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:21:47.3605715Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:21:47.3606020Z cuda train T5Small 2025-09-07T10:21:53.7322339Z 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 2025-09-07T10:21:53.7323441Z pred = mod(**cloned_inputs) 2025-09-07T10:21:53.7324033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward 2025-09-07T10:21:53.7325353Z decoder_outputs = self.decoder( 2025-09-07T10:21:53.7325924Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward 2025-09-07T10:21:53.7326481Z layer_outputs = layer_module( 2025-09-07T10:21:53.7327030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T10:21:53.7328057Z return super().__call__(*args, **kwargs) 2025-09-07T10:21:53.7328953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward 2025-09-07T10:21:53.7329540Z self_attention_outputs = self.layer[0]( 2025-09-07T10:21:53.7330107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward 2025-09-07T10:21:53.7330694Z attention_output = self.SelfAttention( 2025-09-07T10:21:53.7331252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 539, in forward 2025-09-07T10:21:53.7331738Z position_bias = self.compute_bias( 2025-09-07T10:21:53.7332230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 463, in compute_bias 2025-09-07T10:21:53.7332929Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T10:21:53.7333294Z 2025-09-07T10:21:53.7333298Z 2025-09-07T10:21:54.4390909Z W0907 10:21:54.438000 10519 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:21:58.6620114Z pass 2025-09-07T10:22:02.2469616Z /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. 2025-09-07T10:22:02.2471461Z import pynvml # type: ignore[import] 2025-09-07T10:22:05.4004285Z /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. 2025-09-07T10:22:05.4005665Z from pkg_resources import resource_filename 2025-09-07T10:22:06.0031659Z 2025-09-07T10:22:09.4148997Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:22:09.4149316Z loading model: 0it [00:03, ?it/s] 2025-09-07T10:22:09.4149570Z cuda train TrOCRForCausalLM 2025-09-07T10:22:09.4431113Z WARNING:common:fp64 golden ref were not generated for TrOCRForCausalLM. Setting accuracy check to cosine 2025-09-07T10:22:17.1316481Z 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/trocr/modeling_trocr.py", line 64, in forward 2025-09-07T10:22:17.1318123Z return super().forward(position_ids + self.offset) 2025-09-07T10:22:17.1318392Z 2025-09-07T10:22:17.1318395Z 2025-09-07T10:22:17.2525726Z 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/trocr/modeling_trocr.py", line 78, in forward 2025-09-07T10:22:17.2526832Z return super().forward(input_ids) * self.embed_scale 2025-09-07T10:22:17.2527077Z 2025-09-07T10:22:17.2527081Z 2025-09-07T10:22:17.8846215Z pass 2025-09-07T10:22:21.3072788Z /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. 2025-09-07T10:22:21.3075619Z import pynvml # type: ignore[import] 2025-09-07T10:22:24.3517225Z /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. 2025-09-07T10:22:24.3518967Z from pkg_resources import resource_filename 2025-09-07T10:22:24.9747810Z 2025-09-07T10:22:33.3780631Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:22:33.3781041Z loading model: 0it [00:08, ?it/s] 2025-09-07T10:22:33.3781349Z cuda train XGLMForCausalLM 2025-09-07T10:22:33.4203651Z WARNING:common:fp64 golden ref were not generated for XGLMForCausalLM. Setting accuracy check to cosine 2025-09-07T10:22:37.0471847Z skipping cudagraphs due to mutated inputs (1 instances). Found from : 2025-09-07T10:22:37.0472627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xglm/modeling_xglm.py", line 94, in forward 2025-09-07T10:22:37.0473260Z position_ids += self.offset 2025-09-07T10:22:37.0473427Z 2025-09-07T10:22:41.0889311Z 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/xglm/modeling_xglm.py", line 49, in forward 2025-09-07T10:22:41.0890399Z return super().forward(input_ids) * self.embed_scale 2025-09-07T10:22:41.0890670Z 2025-09-07T10:22:41.0890675Z 2025-09-07T10:22:43.1491722Z pass 2025-09-07T10:22:46.6788120Z /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. 2025-09-07T10:22:46.6789463Z import pynvml # type: ignore[import] 2025-09-07T10:22:49.7739315Z /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. 2025-09-07T10:22:49.7740711Z from pkg_resources import resource_filename 2025-09-07T10:22:50.3597121Z 2025-09-07T10:22:54.9470720Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:22:54.9471120Z loading model: 0it [00:04, ?it/s] 2025-09-07T10:22:54.9471434Z cuda train XLNetLMHeadModel 2025-09-07T10:23:57.5529984Z 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 2025-09-07T10:23:57.5531253Z pred = mod(**cloned_inputs) 2025-09-07T10:23:57.5531874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 1607, in forward 2025-09-07T10:23:57.5532518Z transformer_outputs = self.transformer( 2025-09-07T10:23:57.5533142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 1368, in forward 2025-09-07T10:23:57.5533724Z outputs = layer_module( 2025-09-07T10:23:57.5534321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 494, in forward 2025-09-07T10:23:57.5535004Z outputs = self.rel_attn( 2025-09-07T10:23:57.5535562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 425, in forward 2025-09-07T10:23:57.5536143Z attn_vec = self.rel_attn_core( 2025-09-07T10:23:57.5536735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 267, in rel_attn_core 2025-09-07T10:23:57.5537552Z bd = self.rel_shift_bnij(bd, klen=ac.shape[3]) 2025-09-07T10:23:57.5538816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 244, in rel_shift_bnij 2025-09-07T10:23:57.5539674Z x = torch.index_select(x, 3, torch.arange(klen, device=x.device, dtype=torch.long)) 2025-09-07T10:23:57.5539996Z 2025-09-07T10:23:57.5540000Z 2025-09-07T10:23:57.8462834Z W0907 10:23:57.845000 11194 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:24:54.1625510Z pass 2025-09-07T10:25:01.3646729Z /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. 2025-09-07T10:25:01.3648335Z import pynvml # type: ignore[import] 2025-09-07T10:25:04.6113001Z /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. 2025-09-07T10:25:04.6114447Z from pkg_resources import resource_filename 2025-09-07T10:25:05.2069300Z 2025-09-07T10:25:07.5462749Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:25:07.5463226Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:25:07.5463607Z cuda train YituTechConvBert 2025-09-07T10:25:46.1920275Z 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 2025-09-07T10:25:46.1921370Z pred = mod(**cloned_inputs) 2025-09-07T10:25:46.1922023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 925, in forward 2025-09-07T10:25:46.1922716Z generator_hidden_states = self.convbert( 2025-09-07T10:25:46.1923428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 853, in forward 2025-09-07T10:25:46.1924055Z hidden_states = self.encoder( 2025-09-07T10:25:46.1924625Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 625, in forward 2025-09-07T10:25:46.1925187Z layer_outputs = layer_module( 2025-09-07T10:25:46.1925659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T10:25:46.1926157Z return super().__call__(*args, **kwargs) 2025-09-07T10:25:46.1926723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 561, in forward 2025-09-07T10:25:46.1927674Z self_attention_outputs = self.attention( 2025-09-07T10:25:46.1928254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 464, in forward 2025-09-07T10:25:46.1928811Z self_outputs = self.self( 2025-09-07T10:25:46.1929337Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 369, in forward 2025-09-07T10:25:46.1929918Z conv_out_layer = nn.functional.unfold( 2025-09-07T10:25:46.1930109Z 2025-09-07T10:25:46.1930113Z 2025-09-07T10:25:46.4977702Z W0907 10:25:46.496000 11494 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:26:28.0154753Z pass 2025-09-07T10:26:32.9535674Z accuracy pass_rate=100.00% 2025-09-07T10:26:32.9540798Z calls_captured gmean=276.39x mean=817.200x 2025-09-07T10:26:32.9544169Z unique_graphs gmean=4.39x mean=5.300x 2025-09-07T10:26:32.9547669Z graph_breaks gmean=5.83x mean=5.900x 2025-09-07T10:26:32.9550899Z unique_graph_breaks gmean=4.47x mean=4.500x 2025-09-07T10:26:32.9554054Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:26:32.9557071Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:26:32.9560646Z cudagraph_skips gmean=0.00x mean=1.300x 2025-09-07T10:26:32.9561477Z compilation_latency mean=29.208 seconds 2025-09-07T10:26:34.0575502Z + [[ 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* ]] 2025-09-07T10:26:34.0578190Z + 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 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_accuracy.csv 2025-09-07T10:26:35.0815271Z /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. 2025-09-07T10:26:35.0816593Z import pynvml # type: ignore[import] 2025-09-07T10:26:38.2099525Z /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. 2025-09-07T10:26:38.2100913Z from pkg_resources import resource_filename 2025-09-07T10:26:40.5642202Z /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. 2025-09-07T10:26:40.5643488Z import pynvml # type: ignore[import] 2025-09-07T10:26:43.6659108Z /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. 2025-09-07T10:26:43.6660493Z from pkg_resources import resource_filename 2025-09-07T10:26:44.2734055Z 2025-09-07T10:26:46.2875801Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:26:46.2876309Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:26:46.2876746Z cuda train PLBartForCausalLM 2025-09-07T10:26:49.1384918Z 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/plbart/modeling_plbart.py", line 70, in forward 2025-09-07T10:26:49.1386075Z return super().forward(input_ids) * self.embed_scale 2025-09-07T10:26:49.1386330Z 2025-09-07T10:26:49.1386333Z 2025-09-07T10:26:49.3160497Z 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/plbart/modeling_plbart.py", line 298, in forward 2025-09-07T10:26:49.3161628Z return super().forward(position_ids + self.offset) 2025-09-07T10:26:49.3161893Z 2025-09-07T10:26:49.3161899Z 2025-09-07T10:26:50.3643687Z pass 2025-09-07T10:26:53.8855832Z /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. 2025-09-07T10:26:53.8858265Z import pynvml # type: ignore[import] 2025-09-07T10:26:56.9437073Z /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. 2025-09-07T10:26:56.9438653Z from pkg_resources import resource_filename 2025-09-07T10:26:57.5345798Z 2025-09-07T10:27:00.4570274Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:27:00.4570670Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:27:00.4570999Z cuda train PLBartForConditionalGeneration 2025-09-07T10:27:03.6920011Z 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/plbart/modeling_plbart.py", line 70, in forward 2025-09-07T10:27:03.6921120Z return super().forward(input_ids) * self.embed_scale 2025-09-07T10:27:03.6921390Z 2025-09-07T10:27:03.6921395Z 2025-09-07T10:27:03.7463899Z 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/plbart/modeling_plbart.py", line 298, in forward 2025-09-07T10:27:03.7464930Z return super().forward(position_ids + self.offset) 2025-09-07T10:27:03.7465158Z 2025-09-07T10:27:03.7465163Z 2025-09-07T10:27:04.3610777Z 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/plbart/modeling_plbart.py", line 298, in forward 2025-09-07T10:27:04.3611871Z return super().forward(position_ids + self.offset) 2025-09-07T10:27:04.3612112Z 2025-09-07T10:27:04.3612116Z 2025-09-07T10:27:06.3432549Z pass 2025-09-07T10:27:09.7110352Z /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. 2025-09-07T10:27:09.7112381Z import pynvml # type: ignore[import] 2025-09-07T10:27:12.8171503Z /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. 2025-09-07T10:27:12.8172696Z from pkg_resources import resource_filename 2025-09-07T10:27:13.4786279Z 2025-09-07T10:27:18.4760807Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:27:18.4761139Z loading model: 0it [00:04, ?it/s] 2025-09-07T10:27:18.4761444Z cuda train PegasusForCausalLM 2025-09-07T10:27:22.7725541Z pass 2025-09-07T10:27:26.0973528Z /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. 2025-09-07T10:27:26.0974933Z import pynvml # type: ignore[import] 2025-09-07T10:27:29.1826971Z /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. 2025-09-07T10:27:29.1828611Z from pkg_resources import resource_filename 2025-09-07T10:27:29.7922925Z 2025-09-07T10:27:37.7119464Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:27:37.7119838Z loading model: 0it [00:07, ?it/s] 2025-09-07T10:27:37.7120175Z cuda train PegasusForConditionalGeneration 2025-09-07T10:27:45.4243590Z pass 2025-09-07T10:27:48.8480776Z /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. 2025-09-07T10:27:48.8481874Z import pynvml # type: ignore[import] 2025-09-07T10:27:51.8920637Z /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. 2025-09-07T10:27:51.8922030Z from pkg_resources import resource_filename 2025-09-07T10:27:52.4875465Z 2025-09-07T10:27:52.5006300Z loading model: 0it [00:00, ?it/s]If you want to use `RobertaLMHeadModel` as a standalone, add `is_decoder=True.` 2025-09-07T10:27:52.5007193Z WARNING:transformers.models.roberta.modeling_roberta:If you want to use `RobertaLMHeadModel` as a standalone, add `is_decoder=True.` 2025-09-07T10:27:54.4235824Z We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T10:27:54.4237133Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T10:27:54.4239094Z WARNING:transformers.modeling_utils:We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T10:27:54.4240452Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T10:27:54.6983599Z 2025-09-07T10:27:54.6984000Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:27:54.6984347Z cuda train RobertaForCausalLM 2025-09-07T10:28:00.5048499Z 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 2025-09-07T10:28:00.5050030Z pred = mod(**cloned_inputs) 2025-09-07T10:28:00.5050875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 999, in forward 2025-09-07T10:28:00.5051739Z outputs = self.roberta( 2025-09-07T10:28:00.5052519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 826, in forward 2025-09-07T10:28:00.5053369Z embedding_output = self.embeddings( 2025-09-07T10:28:00.5054195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 117, in forward 2025-09-07T10:28:00.5055236Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T10:28:00.5055632Z 2025-09-07T10:28:00.5055638Z 2025-09-07T10:28:01.1677008Z W0907 10:28:01.166000 12441 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:28:07.1248558Z Run failed with return code: -11 2025-09-07T10:28:07.1248876Z Output: None 2025-09-07T10:28:07.1249054Z Error: None 2025-09-07T10:28:08.1659988Z /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. 2025-09-07T10:28:08.1661229Z import pynvml # type: ignore[import] 2025-09-07T10:28:11.2078249Z /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. 2025-09-07T10:28:11.2079982Z from pkg_resources import resource_filename 2025-09-07T10:28:11.8100776Z 2025-09-07T10:28:13.4253694Z loading model: 0it [00:00, ?it/s]We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T10:28:13.4255305Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T10:28:13.4256663Z WARNING:transformers.modeling_utils:We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T10:28:13.4258560Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T10:28:13.7209676Z 2025-09-07T10:28:13.7210013Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:28:13.7210397Z cuda train RobertaForQuestionAnswering 2025-09-07T10:28:19.4811786Z 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 2025-09-07T10:28:19.4812683Z pred = mod(**cloned_inputs) 2025-09-07T10:28:19.4813208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 1516, in forward 2025-09-07T10:28:19.4813733Z outputs = self.roberta( 2025-09-07T10:28:19.4814236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 826, in forward 2025-09-07T10:28:19.4814839Z embedding_output = self.embeddings( 2025-09-07T10:28:19.4815358Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 117, in forward 2025-09-07T10:28:19.4815925Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T10:28:19.4816149Z 2025-09-07T10:28:19.4816153Z 2025-09-07T10:28:20.1461409Z W0907 10:28:20.145000 12598 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:28:25.8769781Z Run failed with return code: -11 2025-09-07T10:28:25.8770156Z Output: None 2025-09-07T10:28:25.8770375Z Error: None 2025-09-07T10:28:26.8568140Z /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. 2025-09-07T10:28:26.8569426Z import pynvml # type: ignore[import] 2025-09-07T10:28:29.9056747Z /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. 2025-09-07T10:28:29.9059443Z from pkg_resources import resource_filename 2025-09-07T10:28:30.5146465Z 2025-09-07T10:28:32.5053603Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:28:32.5053940Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:28:32.5054212Z cuda train T5ForConditionalGeneration 2025-09-07T10:28:38.8281958Z 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 2025-09-07T10:28:38.8283873Z pred = mod(**cloned_inputs) 2025-09-07T10:28:38.8284574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward 2025-09-07T10:28:38.8285275Z decoder_outputs = self.decoder( 2025-09-07T10:28:38.8286271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward 2025-09-07T10:28:38.8287017Z layer_outputs = layer_module( 2025-09-07T10:28:38.8288080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T10:28:38.8288598Z return super().__call__(*args, **kwargs) 2025-09-07T10:28:38.8289143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward 2025-09-07T10:28:38.8289692Z self_attention_outputs = self.layer[0]( 2025-09-07T10:28:38.8290203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward 2025-09-07T10:28:38.8290749Z attention_output = self.SelfAttention( 2025-09-07T10:28:38.8291287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 539, in forward 2025-09-07T10:28:38.8291823Z position_bias = self.compute_bias( 2025-09-07T10:28:38.8292365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 463, in compute_bias 2025-09-07T10:28:38.8293121Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T10:28:38.8293518Z 2025-09-07T10:28:38.8293521Z 2025-09-07T10:28:39.5545346Z W0907 10:28:39.553000 12755 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:28:44.0022607Z pass 2025-09-07T10:28:47.4541313Z /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. 2025-09-07T10:28:47.4542553Z import pynvml # type: ignore[import] 2025-09-07T10:28:50.6241742Z /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. 2025-09-07T10:28:50.6242927Z from pkg_resources import resource_filename 2025-09-07T10:28:51.2641218Z 2025-09-07T10:28:53.4515573Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:28:53.4516131Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:28:53.4516571Z cuda train T5Small 2025-09-07T10:28:59.7984270Z 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 2025-09-07T10:28:59.7985347Z pred = mod(**cloned_inputs) 2025-09-07T10:28:59.7985950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward 2025-09-07T10:28:59.7986514Z decoder_outputs = self.decoder( 2025-09-07T10:28:59.7987073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward 2025-09-07T10:28:59.7988130Z layer_outputs = layer_module( 2025-09-07T10:28:59.7988662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T10:28:59.7989891Z return super().__call__(*args, **kwargs) 2025-09-07T10:28:59.7990449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward 2025-09-07T10:28:59.7991016Z self_attention_outputs = self.layer[0]( 2025-09-07T10:28:59.7991572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward 2025-09-07T10:28:59.7992424Z attention_output = self.SelfAttention( 2025-09-07T10:28:59.7992976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 539, in forward 2025-09-07T10:28:59.7993537Z position_bias = self.compute_bias( 2025-09-07T10:28:59.7994101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 463, in compute_bias 2025-09-07T10:28:59.7994857Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T10:28:59.7995209Z 2025-09-07T10:28:59.7995213Z 2025-09-07T10:29:00.4941314Z W0907 10:29:00.493000 12915 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:29:04.8543696Z pass 2025-09-07T10:29:08.4067097Z /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. 2025-09-07T10:29:08.4068476Z import pynvml # type: ignore[import] 2025-09-07T10:29:11.5748212Z /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. 2025-09-07T10:29:11.5749669Z from pkg_resources import resource_filename 2025-09-07T10:29:12.1634812Z 2025-09-07T10:29:15.8206803Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:29:15.8207178Z loading model: 0it [00:03, ?it/s] 2025-09-07T10:29:15.8207922Z cuda train TrOCRForCausalLM 2025-09-07T10:29:15.8475058Z WARNING:common:fp64 golden ref were not generated for TrOCRForCausalLM. Setting accuracy check to cosine 2025-09-07T10:29:18.5842415Z 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/trocr/modeling_trocr.py", line 78, in forward 2025-09-07T10:29:18.5843394Z return super().forward(input_ids) * self.embed_scale 2025-09-07T10:29:18.5843607Z 2025-09-07T10:29:18.5843611Z 2025-09-07T10:29:18.6605461Z 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/trocr/modeling_trocr.py", line 64, in forward 2025-09-07T10:29:18.6606372Z return super().forward(position_ids + self.offset) 2025-09-07T10:29:18.6606572Z 2025-09-07T10:29:18.6606575Z 2025-09-07T10:29:20.0128398Z pass 2025-09-07T10:29:23.4475620Z /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. 2025-09-07T10:29:23.4478316Z import pynvml # type: ignore[import] 2025-09-07T10:29:26.4890333Z /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. 2025-09-07T10:29:26.4893128Z from pkg_resources import resource_filename 2025-09-07T10:29:27.1803519Z 2025-09-07T10:29:35.8563935Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:29:35.8564315Z loading model: 0it [00:08, ?it/s] 2025-09-07T10:29:35.8564614Z cuda train XGLMForCausalLM 2025-09-07T10:29:35.8920385Z WARNING:common:fp64 golden ref were not generated for XGLMForCausalLM. Setting accuracy check to cosine 2025-09-07T10:29:38.9902238Z 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/xglm/modeling_xglm.py", line 49, in forward 2025-09-07T10:29:38.9903196Z return super().forward(input_ids) * self.embed_scale 2025-09-07T10:29:38.9903413Z 2025-09-07T10:29:38.9903417Z 2025-09-07T10:29:39.1751281Z skipping cudagraphs due to mutated inputs (1 instances). Found from : 2025-09-07T10:29:39.1752052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xglm/modeling_xglm.py", line 94, in forward 2025-09-07T10:29:39.1752666Z position_ids += self.offset 2025-09-07T10:29:39.1752831Z 2025-09-07T10:29:41.7939406Z pass 2025-09-07T10:29:45.3512949Z /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. 2025-09-07T10:29:45.3514212Z import pynvml # type: ignore[import] 2025-09-07T10:29:48.4503096Z /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. 2025-09-07T10:29:48.4504421Z from pkg_resources import resource_filename 2025-09-07T10:29:49.1041991Z 2025-09-07T10:29:53.5014040Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:29:53.5014483Z loading model: 0it [00:04, ?it/s] 2025-09-07T10:29:53.5014786Z cuda train XLNetLMHeadModel 2025-09-07T10:30:03.1474124Z 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 2025-09-07T10:30:03.1475310Z pred = mod(**cloned_inputs) 2025-09-07T10:30:03.1475933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 1607, in forward 2025-09-07T10:30:03.1476550Z transformer_outputs = self.transformer( 2025-09-07T10:30:03.1477164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 1368, in forward 2025-09-07T10:30:03.1478174Z outputs = layer_module( 2025-09-07T10:30:03.1478767Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 494, in forward 2025-09-07T10:30:03.1479394Z outputs = self.rel_attn( 2025-09-07T10:30:03.1479948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 425, in forward 2025-09-07T10:30:03.1480538Z attn_vec = self.rel_attn_core( 2025-09-07T10:30:03.1481147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 267, in rel_attn_core 2025-09-07T10:30:03.1481800Z bd = self.rel_shift_bnij(bd, klen=ac.shape[3]) 2025-09-07T10:30:03.1482438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 244, in rel_shift_bnij 2025-09-07T10:30:03.1483216Z x = torch.index_select(x, 3, torch.arange(klen, device=x.device, dtype=torch.long)) 2025-09-07T10:30:03.1483588Z 2025-09-07T10:30:03.1484135Z 2025-09-07T10:30:03.8573875Z W0907 10:30:03.856000 13395 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:30:15.8190477Z pass 2025-09-07T10:30:19.4924334Z /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. 2025-09-07T10:30:19.4926227Z import pynvml # type: ignore[import] 2025-09-07T10:30:22.5522336Z /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. 2025-09-07T10:30:22.5523701Z from pkg_resources import resource_filename 2025-09-07T10:30:23.1399171Z 2025-09-07T10:30:25.7292121Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:30:25.7292509Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:30:25.7292800Z cuda train YituTechConvBert 2025-09-07T10:30:33.0796191Z 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 2025-09-07T10:30:33.0797589Z pred = mod(**cloned_inputs) 2025-09-07T10:30:33.0798276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 925, in forward 2025-09-07T10:30:33.0798961Z generator_hidden_states = self.convbert( 2025-09-07T10:30:33.0799641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 853, in forward 2025-09-07T10:30:33.0800313Z hidden_states = self.encoder( 2025-09-07T10:30:33.0800931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 625, in forward 2025-09-07T10:30:33.0801555Z layer_outputs = layer_module( 2025-09-07T10:30:33.0802092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T10:30:33.0802676Z return super().__call__(*args, **kwargs) 2025-09-07T10:30:33.0803356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 561, in forward 2025-09-07T10:30:33.0803941Z self_attention_outputs = self.attention( 2025-09-07T10:30:33.0804511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 464, in forward 2025-09-07T10:30:33.0805085Z self_outputs = self.self( 2025-09-07T10:30:33.0805621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 369, in forward 2025-09-07T10:30:33.0806202Z conv_out_layer = nn.functional.unfold( 2025-09-07T10:30:33.0806388Z 2025-09-07T10:30:33.0806392Z 2025-09-07T10:30:33.9578290Z W0907 10:30:33.957000 13555 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:30:43.0215937Z pass 2025-09-07T10:30:45.7050387Z accuracy pass_rate=100.00% 2025-09-07T10:30:45.7056214Z calls_captured gmean=276.39x mean=817.200x 2025-09-07T10:30:45.7059091Z unique_graphs gmean=4.39x mean=5.300x 2025-09-07T10:30:45.7062363Z graph_breaks gmean=5.83x mean=5.900x 2025-09-07T10:30:45.7065585Z unique_graph_breaks gmean=4.47x mean=4.500x 2025-09-07T10:30:45.7069215Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:30:45.7072207Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:30:45.7075248Z cudagraph_skips gmean=0.00x mean=1.300x 2025-09-07T10:30:45.7077006Z compilation_latency mean=7.155 seconds 2025-09-07T10:30:46.7794368Z + [[ 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* ]] 2025-09-07T10:30:46.7795601Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T10:30:46.7797195Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_accuracy.csv 2025-09-07T10:30:47.8271422Z /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. 2025-09-07T10:30:47.8272605Z import pynvml # type: ignore[import] 2025-09-07T10:30:50.9765197Z /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. 2025-09-07T10:30:50.9766591Z from pkg_resources import resource_filename 2025-09-07T10:30:53.2889686Z /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. 2025-09-07T10:30:53.2891517Z import pynvml # type: ignore[import] 2025-09-07T10:30:56.3360224Z /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. 2025-09-07T10:30:56.3361648Z from pkg_resources import resource_filename 2025-09-07T10:30:56.9324938Z 2025-09-07T10:30:58.8986977Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:30:58.8987709Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:30:58.8988027Z cuda train PLBartForCausalLM 2025-09-07T10:31:23.8517754Z pass 2025-09-07T10:31:27.4442996Z /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. 2025-09-07T10:31:27.4444828Z import pynvml # type: ignore[import] 2025-09-07T10:31:30.5248948Z /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. 2025-09-07T10:31:30.5250385Z from pkg_resources import resource_filename 2025-09-07T10:31:31.1872918Z 2025-09-07T10:31:34.1172351Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:31:34.1172870Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:31:34.1173429Z cuda train PLBartForConditionalGeneration 2025-09-07T10:31:58.8859132Z pass 2025-09-07T10:32:02.6814748Z /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. 2025-09-07T10:32:02.6816723Z import pynvml # type: ignore[import] 2025-09-07T10:32:05.7533618Z /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. 2025-09-07T10:32:05.7535069Z from pkg_resources import resource_filename 2025-09-07T10:32:06.3690309Z 2025-09-07T10:32:11.9123519Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:32:11.9124624Z loading model: 0it [00:05, ?it/s] 2025-09-07T10:32:11.9124961Z cuda train PegasusForCausalLM 2025-09-07T10:32:28.1576259Z pass 2025-09-07T10:32:31.6918651Z /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. 2025-09-07T10:32:31.6920487Z import pynvml # type: ignore[import] 2025-09-07T10:32:34.7516410Z /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. 2025-09-07T10:32:34.7519030Z from pkg_resources import resource_filename 2025-09-07T10:32:35.5921882Z 2025-09-07T10:32:43.7508576Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:32:43.7508922Z loading model: 0it [00:08, ?it/s] 2025-09-07T10:32:43.7509229Z cuda train PegasusForConditionalGeneration 2025-09-07T10:33:05.1304958Z pass 2025-09-07T10:33:08.8303203Z /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. 2025-09-07T10:33:08.8304436Z import pynvml # type: ignore[import] 2025-09-07T10:33:11.9994778Z /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. 2025-09-07T10:33:11.9996193Z from pkg_resources import resource_filename 2025-09-07T10:33:12.5815044Z 2025-09-07T10:33:12.5945726Z loading model: 0it [00:00, ?it/s]If you want to use `RobertaLMHeadModel` as a standalone, add `is_decoder=True.` 2025-09-07T10:33:12.5946605Z WARNING:transformers.models.roberta.modeling_roberta:If you want to use `RobertaLMHeadModel` as a standalone, add `is_decoder=True.` 2025-09-07T10:33:14.8818554Z We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T10:33:14.8819894Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T10:33:14.8821266Z WARNING:transformers.modeling_utils:We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T10:33:14.8822727Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T10:33:15.1523851Z 2025-09-07T10:33:15.1524140Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:33:15.1524505Z cuda train RobertaForCausalLM 2025-09-07T10:34:04.7362511Z W0907 10:34:04.735000 17041 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:34:46.2146751Z E0907 10:34:46.213000 17041 site-packages/torch/_dynamo/utils.py:3115] RMSE (res-fp64): 0.15357, (ref-fp64): 0.00990 and shape=torch.Size([]). res.dtype: torch.float32, multiplier: 3.000000, tol: 0.010000, use_larger_multiplier_for_smaller_tensor: 0 2025-09-07T10:34:46.2404213Z fail_accuracy 2025-09-07T10:34:52.1013651Z /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. 2025-09-07T10:34:52.1015280Z import pynvml # type: ignore[import] 2025-09-07T10:34:55.1375719Z /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. 2025-09-07T10:34:55.1378407Z from pkg_resources import resource_filename 2025-09-07T10:34:55.7711415Z 2025-09-07T10:34:57.6228129Z loading model: 0it [00:00, ?it/s]We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T10:34:57.6229551Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T10:34:57.6230934Z WARNING:transformers.modeling_utils:We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T10:34:57.6232280Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T10:34:57.9790985Z 2025-09-07T10:34:57.9791444Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:34:57.9791823Z cuda train RobertaForQuestionAnswering 2025-09-07T10:35:44.2426869Z W0907 10:35:44.241000 18237 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:36:23.9098947Z pass 2025-09-07T10:36:29.7691389Z /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. 2025-09-07T10:36:29.7693039Z import pynvml # type: ignore[import] 2025-09-07T10:36:32.8309054Z /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. 2025-09-07T10:36:32.8311137Z from pkg_resources import resource_filename 2025-09-07T10:36:33.4388700Z 2025-09-07T10:36:35.0450999Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:36:35.0451387Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:36:35.0451731Z cuda train T5ForConditionalGeneration 2025-09-07T10:37:32.4023659Z W0907 10:37:32.401000 18889 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:37:57.4132332Z pass 2025-09-07T10:38:02.9878766Z /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. 2025-09-07T10:38:02.9880705Z import pynvml # type: ignore[import] 2025-09-07T10:38:06.1009293Z /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. 2025-09-07T10:38:06.1011349Z from pkg_resources import resource_filename 2025-09-07T10:38:06.6814634Z 2025-09-07T10:38:08.9230321Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:38:08.9230647Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:38:08.9230933Z cuda train T5Small 2025-09-07T10:38:17.9165324Z W0907 10:38:17.915000 19476 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:38:21.8294444Z pass 2025-09-07T10:38:25.1956182Z /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. 2025-09-07T10:38:25.1957818Z import pynvml # type: ignore[import] 2025-09-07T10:38:28.2945275Z /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. 2025-09-07T10:38:28.2946632Z from pkg_resources import resource_filename 2025-09-07T10:38:28.8984931Z 2025-09-07T10:38:32.5764935Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:38:32.5765303Z loading model: 0it [00:03, ?it/s] 2025-09-07T10:38:32.5765609Z cuda train TrOCRForCausalLM 2025-09-07T10:38:32.6036099Z WARNING:common:fp64 golden ref were not generated for TrOCRForCausalLM. Setting accuracy check to cosine 2025-09-07T10:38:51.3716428Z pass 2025-09-07T10:38:54.8483658Z /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. 2025-09-07T10:38:54.8484929Z import pynvml # type: ignore[import] 2025-09-07T10:38:58.0787457Z /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. 2025-09-07T10:38:58.0788853Z from pkg_resources import resource_filename 2025-09-07T10:38:58.7024516Z 2025-09-07T10:39:07.0056491Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:39:07.0056862Z loading model: 0it [00:08, ?it/s] 2025-09-07T10:39:07.0060609Z cuda train XGLMForCausalLM 2025-09-07T10:39:07.0413063Z WARNING:common:fp64 golden ref were not generated for XGLMForCausalLM. Setting accuracy check to cosine 2025-09-07T10:39:25.4455405Z pass 2025-09-07T10:39:28.9384322Z /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. 2025-09-07T10:39:28.9385544Z import pynvml # type: ignore[import] 2025-09-07T10:39:31.9902200Z /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. 2025-09-07T10:39:31.9904098Z from pkg_resources import resource_filename 2025-09-07T10:39:32.5992141Z 2025-09-07T10:39:36.9426974Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:39:36.9427688Z loading model: 0it [00:04, ?it/s] 2025-09-07T10:39:36.9427981Z cuda train XLNetLMHeadModel 2025-09-07T10:40:11.0390921Z W0907 10:40:11.038000 21108 site-packages/torch/_inductor/utils.py:2298] [2/0_1] DeviceCopy in input program 2025-09-07T10:41:44.7739581Z W0907 10:41:44.772000 21108 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:43:13.7310165Z pass 2025-09-07T10:43:22.8988245Z /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. 2025-09-07T10:43:22.8989591Z import pynvml # type: ignore[import] 2025-09-07T10:43:25.9778405Z /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. 2025-09-07T10:43:25.9779819Z from pkg_resources import resource_filename 2025-09-07T10:43:26.6260958Z 2025-09-07T10:43:28.9406249Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:43:28.9406631Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:43:28.9406935Z cuda train YituTechConvBert 2025-09-07T10:44:58.1762864Z W0907 10:44:58.175000 21727 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:46:02.2553695Z pass 2025-09-07T10:46:08.6434540Z accuracy pass_rate=91.67% 2025-09-07T10:46:08.6441137Z calls_captured gmean=358.94x mean=902.000x 2025-09-07T10:46:08.6444593Z unique_graphs gmean=3.85x mean=4.750x 2025-09-07T10:46:08.6447849Z graph_breaks gmean=5.68x mean=5.750x 2025-09-07T10:46:08.6451230Z unique_graph_breaks gmean=4.39x mean=4.417x 2025-09-07T10:46:08.6454304Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:46:08.6458016Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:46:08.6461006Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T10:46:08.6462070Z compilation_latency mean=62.607 seconds 2025-09-07T10:46:09.7192527Z + [[ 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* ]] 2025-09-07T10:46:09.7193730Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:46:09.7194911Z + [[ 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* ]] 2025-09-07T10:46:09.7196068Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:46:09.7197096Z + [[ 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* ]] 2025-09-07T10:46:09.7198415Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:46:09.7199432Z + [[ 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* ]] 2025-09-07T10:46:09.7200461Z + TORCHINDUCTOR_MAX_AUTOTUNE=1 2025-09-07T10:46:09.7201515Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 5 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_accuracy.csv 2025-09-07T10:46:10.7064309Z /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. 2025-09-07T10:46:10.7066141Z import pynvml # type: ignore[import] 2025-09-07T10:46:13.8696894Z /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. 2025-09-07T10:46:13.8698646Z from pkg_resources import resource_filename 2025-09-07T10:46:16.3540321Z /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. 2025-09-07T10:46:16.3541552Z import pynvml # type: ignore[import] 2025-09-07T10:46:19.4640075Z /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. 2025-09-07T10:46:19.4641468Z from pkg_resources import resource_filename 2025-09-07T10:46:20.0890908Z 2025-09-07T10:46:22.4528478Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:46:22.4529037Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:46:22.4529591Z cuda train PLBartForCausalLM 2025-09-07T10:46:31.5201814Z Autotune Choices Stats: 2025-09-07T10:46:31.5203166Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.015584000386297703, "best_triton_pos": 1, "best_triton_time": 0.0161920003592968, "best_triton_kernel": "triton_mm_87", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:46:31.5209552Z AUTOTUNE addmm(1024x3072, 1024x768, 768x3072) 2025-09-07T10:46:31.5209863Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:46:31.5210191Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:31.5210527Z bias_addmm 0.0156 ms 100.0% 2025-09-07T10:46:31.5211144Z triton_mm_87 0.0162 ms 96.2% 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 2025-09-07T10:46:31.5212293Z triton_mm_93 0.0172 ms 90.9% 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 2025-09-07T10:46:31.5213264Z triton_mm_85 0.0192 ms 81.3% 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 2025-09-07T10:46:31.5214234Z triton_mm_92 0.0197 ms 79.1% 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 2025-09-07T10:46:31.5215297Z triton_mm_89 0.0198 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 2025-09-07T10:46:31.5216252Z triton_mm_86 0.0202 ms 77.3% 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 2025-09-07T10:46:31.5217939Z triton_mm_94 0.0205 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 2025-09-07T10:46:31.5218922Z triton_mm_90 0.0208 ms 74.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:31.5220105Z triton_mm_88 0.0219 ms 71.2% 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 2025-09-07T10:46:31.5220968Z SingleProcess AUTOTUNE benchmarking takes 0.5405 seconds and 2.7777 seconds precompiling for 21 choices 2025-09-07T10:46:33.2121113Z Autotune Choices Stats: 2025-09-07T10:46:33.2123253Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01056000031530857, "best_triton_pos": 1, "best_triton_time": 0.010751999914646149, "best_triton_kernel": "triton_mm_12", "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"} 2025-09-07T10:46:33.2126714Z AUTOTUNE mm(1024x768, 768x768) 2025-09-07T10:46:33.2126952Z strides: [768, 1], [1, 768] 2025-09-07T10:46:33.2127172Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:33.2127747Z mm 0.0106 ms 100.0% 2025-09-07T10:46:33.2128282Z triton_mm_12 0.0108 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 2025-09-07T10:46:33.2129141Z triton_mm_18 0.0119 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 2025-09-07T10:46:33.2129971Z triton_mm_7 0.0120 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 2025-09-07T10:46:33.2130799Z triton_mm_11 0.0122 ms 86.6% 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 2025-09-07T10:46:33.2131639Z triton_mm_8 0.0124 ms 85.1% 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 2025-09-07T10:46:33.2132477Z triton_mm_10 0.0131 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 2025-09-07T10:46:33.2133304Z triton_mm_14 0.0132 ms 80.3% 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 2025-09-07T10:46:33.2134062Z triton_mm_17 0.0132 ms 80.3% 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 2025-09-07T10:46:33.2134931Z triton_mm_4 0.0145 ms 73.0% 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 2025-09-07T10:46:33.2135607Z SingleProcess AUTOTUNE benchmarking takes 0.2442 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:46:33.4815310Z Autotune Choices Stats: 2025-09-07T10:46:33.4817760Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.010623999871313572, "best_triton_pos": 1, "best_triton_time": 0.011168000288307667, "best_triton_kernel": "triton_mm_69", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T10:46:33.4822052Z AUTOTUNE addmm(1024x768, 1024x768, 768x768) 2025-09-07T10:46:33.4823152Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:46:33.4823553Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:33.4823859Z bias_addmm 0.0106 ms 100.0% 2025-09-07T10:46:33.4824462Z triton_mm_69 0.0112 ms 95.1% 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 2025-09-07T10:46:33.4825671Z triton_mm_64 0.0123 ms 86.5% 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 2025-09-07T10:46:33.4826636Z triton_mm_68 0.0125 ms 84.7% 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 2025-09-07T10:46:33.4827782Z triton_mm_65 0.0128 ms 82.8% 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 2025-09-07T10:46:33.4828778Z triton_mm_75 0.0129 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=5, num_warps=8 2025-09-07T10:46:33.4829746Z triton_mm_74 0.0137 ms 77.4% 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 2025-09-07T10:46:33.4830702Z triton_mm_67 0.0138 ms 77.0% 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 2025-09-07T10:46:33.4831309Z addmm 0.0138 ms 76.9% 2025-09-07T10:46:33.4831879Z triton_mm_71 0.0139 ms 76.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:33.4832717Z SingleProcess AUTOTUNE benchmarking takes 0.2679 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:46:33.7771392Z Autotune Choices Stats: 2025-09-07T10:46:33.7773397Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.016543999314308167, "best_triton_pos": 1, "best_triton_time": 0.019007999449968338, "best_triton_kernel": "triton_mm_107", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T10:46:33.7778874Z AUTOTUNE addmm(1024x768, 1024x3072, 3072x768) 2025-09-07T10:46:33.7779344Z strides: [0, 1], [3072, 1], [1, 3072] 2025-09-07T10:46:33.7779847Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:33.7780346Z bias_addmm 0.0165 ms 100.0% 2025-09-07T10:46:33.7781309Z triton_mm_107 0.0190 ms 87.0% 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 2025-09-07T10:46:33.7782358Z addmm 0.0204 ms 80.9% 2025-09-07T10:46:33.7783406Z triton_mm_113 0.0239 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 2025-09-07T10:46:33.7784373Z triton_mm_103 0.0244 ms 67.7% 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 2025-09-07T10:46:33.7785342Z triton_mm_106 0.0283 ms 58.4% 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 2025-09-07T10:46:33.7786299Z triton_mm_102 0.0284 ms 58.2% 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 2025-09-07T10:46:33.7787485Z triton_mm_112 0.0313 ms 52.9% 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 2025-09-07T10:46:33.7788777Z triton_mm_99 0.0317 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 2025-09-07T10:46:33.7789747Z triton_mm_105 0.0341 ms 48.5% 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 2025-09-07T10:46:33.7790777Z SingleProcess AUTOTUNE benchmarking takes 0.2948 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:46:37.5248117Z Autotune Choices Stats: 2025-09-07T10:46:37.5249428Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.1348160058259964, "best_triton_pos": 1, "best_triton_time": 0.1496960073709488, "best_triton_kernel": "triton_mm_131", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:46:37.5255162Z AUTOTUNE mm(1024x768, 768x50008) 2025-09-07T10:46:37.5255387Z strides: [768, 1], [50048, 1] 2025-09-07T10:46:37.5255611Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:37.5255837Z mm 0.1348 ms 100.0% 2025-09-07T10:46:37.5256351Z triton_mm_131 0.1497 ms 90.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:37.5257173Z triton_mm_130 0.1565 ms 86.1% 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 2025-09-07T10:46:37.5258146Z triton_mm_132 0.1729 ms 78.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:37.5258954Z triton_mm_125 0.1983 ms 68.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:37.5259751Z triton_mm_123 0.2148 ms 62.8% 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 2025-09-07T10:46:37.5260570Z triton_mm_124 0.2174 ms 62.0% 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 2025-09-07T10:46:37.5261376Z triton_mm_128 0.2248 ms 60.0% 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 2025-09-07T10:46:37.5262171Z triton_mm_127 0.2302 ms 58.6% 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 2025-09-07T10:46:37.5262960Z triton_mm_126 0.2353 ms 57.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:46:37.5263670Z SingleProcess AUTOTUNE benchmarking takes 0.6389 seconds and 1.9269 seconds precompiling for 20 choices 2025-09-07T10:46:39.9159394Z Autotune Choices Stats: 2025-09-07T10:46:39.9160736Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.18822400271892548, "best_triton_pos": 1, "best_triton_time": 0.31251201033592224, "best_triton_kernel": "triton_mm_150", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:46:39.9166568Z AUTOTUNE mm(50005x1024, 1024x768) 2025-09-07T10:46:39.9166837Z strides: [1, 50048], [768, 1] 2025-09-07T10:46:39.9167064Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:39.9167522Z mm 0.1882 ms 100.0% 2025-09-07T10:46:39.9168083Z triton_mm_150 0.3125 ms 60.2% 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 2025-09-07T10:46:39.9169578Z triton_mm_149 0.3255 ms 57.8% 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 2025-09-07T10:46:39.9170664Z triton_mm_144 0.3430 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 2025-09-07T10:46:39.9171503Z triton_mm_142 0.3527 ms 53.4% 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 2025-09-07T10:46:39.9172340Z triton_mm_151 0.4020 ms 46.8% 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 2025-09-07T10:46:39.9173191Z triton_mm_146 0.4473 ms 42.1% 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 2025-09-07T10:46:39.9174021Z triton_mm_143 0.4905 ms 38.4% 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 2025-09-07T10:46:39.9175052Z triton_mm_147 0.5247 ms 35.9% 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 2025-09-07T10:46:39.9175947Z triton_mm_148 0.5438 ms 34.6% 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 2025-09-07T10:46:39.9176739Z SingleProcess AUTOTUNE benchmarking takes 0.7017 seconds and 0.1431 seconds precompiling for 20 choices 2025-09-07T10:46:42.1967862Z Autotune Choices Stats: 2025-09-07T10:46:42.1969178Z {"num_choices": 29, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.11724799871444702, "best_triton_pos": 2, "best_triton_time": 0.19724799692630768, "best_triton_kernel": "triton_mm_164", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T10:46:42.1987085Z AUTOTUNE mm(1024x50008, 50008x768) 2025-09-07T10:46:42.1987506Z strides: [50048, 1], [768, 1] 2025-09-07T10:46:42.1987769Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:42.1988060Z mm 0.1172 ms 100.0% 2025-09-07T10:46:42.1988313Z decompose_k_mm_7_split_2 0.1433 ms 81.8% k_split=7 2025-09-07T10:46:42.1989001Z triton_mm_164 0.1972 ms 59.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:46:42.1989991Z triton_mm_170 0.2954 ms 39.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:42.1991003Z triton_mm_160 0.3001 ms 39.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:42.1991983Z triton_mm_163 0.3079 ms 38.1% 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 2025-09-07T10:46:42.1992945Z triton_mm_159 0.3093 ms 37.9% 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 2025-09-07T10:46:42.1993912Z triton_mm_169 0.3625 ms 32.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:42.1994884Z triton_mm_162 0.3637 ms 32.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:42.1996387Z triton_mm_156 0.3870 ms 30.3% 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 2025-09-07T10:46:42.1997168Z SingleProcess AUTOTUNE benchmarking takes 2.0706 seconds and 0.0002 seconds precompiling for 29 choices 2025-09-07T10:46:45.4650627Z Autotune Choices Stats: 2025-09-07T10:46:45.4651945Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01500799972563982, "best_triton_pos": 1, "best_triton_time": 0.015200000256299973, "best_triton_kernel": "triton_mm_182", "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"} 2025-09-07T10:46:45.4692539Z AUTOTUNE mm(1024x768, 768x3072) 2025-09-07T10:46:45.4692863Z strides: [768, 1], [3072, 1] 2025-09-07T10:46:45.4693132Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:45.4693415Z mm 0.0150 ms 100.0% 2025-09-07T10:46:45.4694054Z triton_mm_182 0.0152 ms 98.7% 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 2025-09-07T10:46:45.4695294Z triton_mm_188 0.0157 ms 95.7% 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 2025-09-07T10:46:45.4696356Z triton_mm_181 0.0162 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 2025-09-07T10:46:45.4697701Z triton_mm_180 0.0172 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:45.4698685Z triton_mm_187 0.0175 ms 85.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:45.4699648Z triton_mm_184 0.0183 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=3, num_warps=4 2025-09-07T10:46:45.4700605Z triton_mm_185 0.0187 ms 80.4% 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 2025-09-07T10:46:45.4701574Z triton_mm_189 0.0188 ms 79.9% 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 2025-09-07T10:46:45.4702538Z triton_mm_183 0.0199 ms 75.4% 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 2025-09-07T10:46:45.4703389Z SingleProcess AUTOTUNE benchmarking takes 0.2530 seconds and 0.5733 seconds precompiling for 20 choices 2025-09-07T10:46:45.9913670Z Autotune Choices Stats: 2025-09-07T10:46:45.9915060Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01398400031030178, "best_triton_pos": 1, "best_triton_time": 0.01603199914097786, "best_triton_kernel": "triton_mm_201", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:46:45.9924601Z AUTOTUNE mm(768x1024, 1024x3072) 2025-09-07T10:46:45.9924869Z strides: [1, 768], [3072, 1] 2025-09-07T10:46:45.9925124Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:45.9925397Z mm 0.0140 ms 100.0% 2025-09-07T10:46:45.9925999Z triton_mm_201 0.0160 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 2025-09-07T10:46:45.9927875Z triton_mm_200 0.0167 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 2025-09-07T10:46:45.9928773Z triton_mm_204 0.0172 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:45.9929903Z triton_mm_207 0.0185 ms 75.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:45.9930811Z triton_mm_199 0.0189 ms 73.8% 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 2025-09-07T10:46:45.9931689Z triton_mm_203 0.0193 ms 72.4% 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 2025-09-07T10:46:45.9932580Z triton_mm_197 0.0202 ms 69.3% 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 2025-09-07T10:46:45.9933460Z triton_mm_206 0.0203 ms 68.9% 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 2025-09-07T10:46:45.9934368Z triton_mm_208 0.0204 ms 68.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:45.9935281Z SingleProcess AUTOTUNE benchmarking takes 0.2259 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:46:46.4106966Z Autotune Choices Stats: 2025-09-07T10:46:46.4108760Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.013952000066637993, "best_triton_pos": 1, "best_triton_time": 0.0161920003592968, "best_triton_kernel": "triton_mm_239", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:46:46.4117496Z AUTOTUNE mm(3072x1024, 1024x768) 2025-09-07T10:46:46.4117744Z strides: [1, 3072], [768, 1] 2025-09-07T10:46:46.4117991Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:46.4118245Z mm 0.0140 ms 100.0% 2025-09-07T10:46:46.4118808Z triton_mm_239 0.0162 ms 86.2% 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 2025-09-07T10:46:46.4119714Z triton_mm_238 0.0167 ms 83.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:46.4120614Z triton_mm_242 0.0170 ms 82.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:46.4121521Z triton_mm_245 0.0183 ms 76.1% 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 2025-09-07T10:46:46.4122427Z triton_mm_237 0.0190 ms 73.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:46.4123324Z triton_mm_241 0.0192 ms 72.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:46.4124213Z triton_mm_235 0.0198 ms 70.3% 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 2025-09-07T10:46:46.4125644Z triton_mm_244 0.0199 ms 70.2% 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 2025-09-07T10:46:46.4126583Z triton_mm_246 0.0202 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 2025-09-07T10:46:46.4127787Z SingleProcess AUTOTUNE benchmarking takes 0.2260 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:46:47.0618955Z Autotune Choices Stats: 2025-09-07T10:46:47.0620232Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.009983999654650688, "best_triton_pos": 1, "best_triton_time": 0.010015999898314476, "best_triton_kernel": "triton_mm_373", "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"} 2025-09-07T10:46:47.0629509Z AUTOTUNE mm(1024x768, 768x768) 2025-09-07T10:46:47.0629791Z strides: [768, 1], [768, 1] 2025-09-07T10:46:47.0630049Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:47.0630311Z mm 0.0100 ms 100.0% 2025-09-07T10:46:47.0630913Z triton_mm_373 0.0100 ms 99.7% 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 2025-09-07T10:46:47.0631948Z triton_mm_372 0.0116 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:47.0632919Z triton_mm_368 0.0117 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 2025-09-07T10:46:47.0633889Z triton_mm_379 0.0118 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:47.0634875Z triton_mm_369 0.0121 ms 82.8% 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 2025-09-07T10:46:47.0635838Z triton_mm_371 0.0124 ms 80.8% 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 2025-09-07T10:46:47.0636814Z triton_mm_378 0.0128 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=3, num_warps=4 2025-09-07T10:46:47.0638157Z triton_mm_375 0.0129 ms 77.6% 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 2025-09-07T10:46:47.0639050Z triton_mm_370 0.0146 ms 68.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:47.0639846Z SingleProcess AUTOTUNE benchmarking takes 0.2005 seconds and 0.4055 seconds precompiling for 20 choices 2025-09-07T10:46:48.3454516Z Autotune Choices Stats: 2025-09-07T10:46:48.3455942Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.00979200005531311, "best_triton_pos": 1, "best_triton_time": 0.010463999584317207, "best_triton_kernel": "triton_mm_278", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T10:46:48.3465945Z AUTOTUNE mm(768x1024, 1024x768) 2025-09-07T10:46:48.3466181Z strides: [1, 768], [768, 1] 2025-09-07T10:46:48.3466394Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:48.3466614Z mm 0.0098 ms 100.0% 2025-09-07T10:46:48.3467225Z triton_mm_278 0.0105 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 2025-09-07T10:46:48.3468757Z triton_mm_284 0.0124 ms 79.3% 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 2025-09-07T10:46:48.3469736Z triton_mm_273 0.0126 ms 77.7% 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 2025-09-07T10:46:48.3470923Z triton_mm_274 0.0127 ms 76.9% 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 2025-09-07T10:46:48.3471898Z triton_mm_277 0.0130 ms 75.4% 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 2025-09-07T10:46:48.3472878Z triton_mm_276 0.0135 ms 72.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:48.3473853Z triton_mm_280 0.0137 ms 71.5% 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 2025-09-07T10:46:48.3474830Z triton_mm_283 0.0141 ms 69.2% 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 2025-09-07T10:46:48.3475796Z triton_mm_270 0.0155 ms 63.4% 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 2025-09-07T10:46:48.3476639Z SingleProcess AUTOTUNE benchmarking takes 0.2043 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:46:49.8169413Z Autotune Choices Stats: 2025-09-07T10:46:49.8170724Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.0161920003592968, "best_triton_pos": 1, "best_triton_time": 0.018271999433636665, "best_triton_kernel": "triton_mm_221", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T10:46:49.8179630Z AUTOTUNE mm(1024x3072, 3072x768) 2025-09-07T10:46:49.8179873Z strides: [3072, 1], [768, 1] 2025-09-07T10:46:49.8180094Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:49.8180322Z mm 0.0162 ms 100.0% 2025-09-07T10:46:49.8180821Z triton_mm_221 0.0183 ms 88.6% 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 2025-09-07T10:46:49.8181680Z triton_mm_217 0.0231 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 2025-09-07T10:46:49.8182505Z triton_mm_227 0.0242 ms 67.0% 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 2025-09-07T10:46:49.8183304Z triton_mm_220 0.0270 ms 60.0% 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 2025-09-07T10:46:49.8184101Z triton_mm_216 0.0277 ms 58.5% 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 2025-09-07T10:46:49.8184900Z triton_mm_226 0.0293 ms 55.2% 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 2025-09-07T10:46:49.8185690Z triton_mm_213 0.0301 ms 53.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:49.8186854Z triton_mm_219 0.0320 ms 50.6% 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 2025-09-07T10:46:49.8188041Z triton_mm_223 0.0322 ms 50.2% 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 2025-09-07T10:46:49.8189055Z SingleProcess AUTOTUNE benchmarking takes 0.2558 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:46:51.3493779Z 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/plbart/modeling_plbart.py", line 298, in forward 2025-09-07T10:46:51.3494981Z return super().forward(position_ids + self.offset) 2025-09-07T10:46:51.3495229Z 2025-09-07T10:46:51.3495234Z 2025-09-07T10:46:51.6211499Z 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/plbart/modeling_plbart.py", line 70, in forward 2025-09-07T10:46:51.6212667Z return super().forward(input_ids) * self.embed_scale 2025-09-07T10:46:51.6212919Z 2025-09-07T10:46:51.6212923Z 2025-09-07T10:46:51.9581252Z pass 2025-09-07T10:46:55.6641236Z /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. 2025-09-07T10:46:55.6642481Z import pynvml # type: ignore[import] 2025-09-07T10:46:58.7759449Z /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. 2025-09-07T10:46:58.7760853Z from pkg_resources import resource_filename 2025-09-07T10:46:59.3778275Z 2025-09-07T10:47:02.5120005Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:47:02.5120398Z loading model: 0it [00:03, ?it/s] 2025-09-07T10:47:02.5120735Z cuda train PLBartForConditionalGeneration 2025-09-07T10:47:06.0207965Z 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/plbart/modeling_plbart.py", line 70, in forward 2025-09-07T10:47:06.0209123Z return super().forward(input_ids) * self.embed_scale 2025-09-07T10:47:06.0209371Z 2025-09-07T10:47:06.0209376Z 2025-09-07T10:47:09.9014071Z 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/plbart/modeling_plbart.py", line 298, in forward 2025-09-07T10:47:09.9015324Z return super().forward(position_ids + self.offset) 2025-09-07T10:47:09.9015580Z 2025-09-07T10:47:09.9015585Z 2025-09-07T10:47:21.3730669Z 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/plbart/modeling_plbart.py", line 298, in forward 2025-09-07T10:47:21.3732506Z return super().forward(position_ids + self.offset) 2025-09-07T10:47:21.3732903Z 2025-09-07T10:47:21.3732911Z 2025-09-07T10:47:22.5609337Z pass 2025-09-07T10:47:26.2411782Z /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. 2025-09-07T10:47:26.2413010Z import pynvml # type: ignore[import] 2025-09-07T10:47:29.2784279Z /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. 2025-09-07T10:47:29.2785648Z from pkg_resources import resource_filename 2025-09-07T10:47:29.8655929Z 2025-09-07T10:47:35.1563944Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:47:35.1565049Z loading model: 0it [00:05, ?it/s] 2025-09-07T10:47:35.1565395Z cuda train PegasusForCausalLM 2025-09-07T10:47:43.8472144Z Autotune Choices Stats: 2025-09-07T10:47:43.8473171Z {"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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:47:43.8483429Z AUTOTUNE addmm(128x4096, 128x1024, 1024x4096) 2025-09-07T10:47:43.8483702Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:47:43.8484007Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:47:43.8484648Z triton_mm_84 0.0113 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 2025-09-07T10:47:43.8485218Z bias_addmm 0.0117 ms 96.2% 2025-09-07T10:47:43.8485769Z triton_mm_88 0.0126 ms 89.1% 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 2025-09-07T10:47:43.8486613Z triton_mm_80 0.0140 ms 80.5% 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 2025-09-07T10:47:43.8487873Z triton_mm_83 0.0141 ms 79.6% 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 2025-09-07T10:47:43.8488749Z triton_mm_94 0.0146 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 2025-09-07T10:47:43.8489600Z triton_mm_87 0.0148 ms 76.2% 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 2025-09-07T10:47:43.8490425Z triton_mm_79 0.0152 ms 74.3% 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 2025-09-07T10:47:43.8491256Z triton_mm_77 0.0162 ms 69.4% 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 2025-09-07T10:47:43.8492093Z triton_mm_93 0.0164 ms 68.8% 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 2025-09-07T10:47:43.8492834Z SingleProcess AUTOTUNE benchmarking takes 0.2654 seconds and 2.9721 seconds precompiling for 21 choices 2025-09-07T10:47:45.0386043Z Autotune Choices Stats: 2025-09-07T10:47:45.0387092Z {"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": 0.008960000239312649, "best_triton_pos": 0} 2025-09-07T10:47:45.0396697Z AUTOTUNE mm(128x1024, 1024x1024) 2025-09-07T10:47:45.0396937Z strides: [1024, 1], [1, 1024] 2025-09-07T10:47:45.0397171Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:45.0397903Z triton_mm_4 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 2025-09-07T10:47:45.0399437Z triton_mm_8 0.0093 ms 96.6% 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 2025-09-07T10:47:45.0400008Z mm 0.0096 ms 93.0% 2025-09-07T10:47:45.0400539Z triton_mm_12 0.0108 ms 83.3% 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 2025-09-07T10:47:45.0401693Z triton_mm_3 0.0121 ms 74.3% 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 2025-09-07T10:47:45.0402588Z triton_mm_7 0.0122 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 2025-09-07T10:47:45.0403486Z triton_mm_18 0.0124 ms 72.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:45.0404382Z triton_mm_11 0.0127 ms 70.4% 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 2025-09-07T10:47:45.0405280Z triton_mm_2 0.0128 ms 69.8% 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 2025-09-07T10:47:45.0406144Z triton_mm_1 0.0131 ms 68.3% 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 2025-09-07T10:47:45.0406901Z SingleProcess AUTOTUNE benchmarking takes 0.2317 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:47:45.5600017Z Autotune Choices Stats: 2025-09-07T10:47:45.5601050Z {"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": 0.009184000082314014, "best_triton_pos": 0} 2025-09-07T10:47:45.5612948Z AUTOTUNE addmm(128x1024, 128x1024, 1024x1024) 2025-09-07T10:47:45.5613208Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:47:45.5613478Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:47:45.5614096Z triton_mm_61 0.0092 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 2025-09-07T10:47:45.5615068Z triton_mm_65 0.0096 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:45.5615645Z bias_addmm 0.0097 ms 95.0% 2025-09-07T10:47:45.5616198Z triton_mm_69 0.0113 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 2025-09-07T10:47:45.5617108Z triton_mm_60 0.0124 ms 74.0% 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 2025-09-07T10:47:45.5618360Z triton_mm_64 0.0126 ms 73.0% 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 2025-09-07T10:47:45.5619253Z triton_mm_59 0.0128 ms 71.6% 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 2025-09-07T10:47:45.5620143Z triton_mm_75 0.0131 ms 70.2% 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 2025-09-07T10:47:45.5621033Z triton_mm_68 0.0132 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 2025-09-07T10:47:45.5622574Z triton_mm_58 0.0133 ms 69.2% 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 2025-09-07T10:47:45.5623382Z SingleProcess AUTOTUNE benchmarking takes 0.5201 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:47:45.8706846Z Autotune Choices Stats: 2025-09-07T10:47:45.8708291Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.014047999866306782, "best_triton_pos": 1, "best_triton_time": 0.01635199971497059, "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"} 2025-09-07T10:47:45.8718888Z AUTOTUNE addmm(128x1024, 128x4096, 4096x1024) 2025-09-07T10:47:45.8719166Z strides: [0, 1], [4096, 1], [1, 4096] 2025-09-07T10:47:45.8719428Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:47:45.8719695Z bias_addmm 0.0140 ms 100.0% 2025-09-07T10:47:45.8720218Z triton_mm_99 0.0164 ms 85.9% 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 2025-09-07T10:47:45.8721065Z triton_mm_103 0.0168 ms 83.8% 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 2025-09-07T10:47:45.8721598Z addmm 0.0200 ms 70.4% 2025-09-07T10:47:45.8722096Z triton_mm_107 0.0207 ms 68.0% 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 2025-09-07T10:47:45.8722935Z triton_mm_113 0.0281 ms 50.1% 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 2025-09-07T10:47:45.8723773Z triton_mm_98 0.0308 ms 45.6% 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 2025-09-07T10:47:45.8724594Z triton_mm_97 0.0320 ms 43.9% 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 2025-09-07T10:47:45.8725420Z triton_mm_96 0.0332 ms 42.4% 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 2025-09-07T10:47:45.8726251Z triton_mm_102 0.0332 ms 42.3% 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 2025-09-07T10:47:45.8726988Z SingleProcess AUTOTUNE benchmarking takes 0.3101 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:47:50.3565494Z Autotune Choices Stats: 2025-09-07T10:47:50.3566588Z {"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": 0.05507199838757515, "best_triton_pos": 0} 2025-09-07T10:47:50.3578734Z AUTOTUNE mm(128x1024, 1024x50265) 2025-09-07T10:47:50.3579021Z strides: [1024, 1], [1, 1024] 2025-09-07T10:47:50.3579243Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:50.3579814Z triton_mm_125 0.0551 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 2025-09-07T10:47:50.3580712Z triton_mm_131 0.0574 ms 95.9% 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 2025-09-07T10:47:50.3582318Z triton_mm_132 0.0583 ms 94.5% 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 2025-09-07T10:47:50.3583177Z triton_mm_126 0.0603 ms 91.4% 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 2025-09-07T10:47:50.3584261Z triton_mm_121 0.0613 ms 89.9% 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 2025-09-07T10:47:50.3585113Z triton_mm_124 0.0671 ms 82.1% 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 2025-09-07T10:47:50.3585961Z triton_mm_130 0.0671 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 2025-09-07T10:47:50.3586917Z triton_mm_123 0.0677 ms 81.3% 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 2025-09-07T10:47:50.3588066Z triton_mm_128 0.0679 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=4, num_warps=8 2025-09-07T10:47:50.3589048Z triton_mm_122 0.0712 ms 77.3% 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 2025-09-07T10:47:50.3589902Z SingleProcess AUTOTUNE benchmarking takes 0.3544 seconds and 2.4201 seconds precompiling for 20 choices 2025-09-07T10:47:53.9999952Z Autotune Choices Stats: 2025-09-07T10:47:54.0001988Z {"num_choices": 25, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.05833600088953972, "best_triton_pos": 3, "best_triton_time": 0.1090560033917427, "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"} 2025-09-07T10:47:54.0020167Z AUTOTUNE mm(128x50272, 50272x1024) 2025-09-07T10:47:54.0020414Z strides: [50304, 1], [1024, 1] 2025-09-07T10:47:54.0020635Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:54.0020873Z mm 0.0583 ms 100.0% 2025-09-07T10:47:54.0021098Z decompose_k_mm_4_split_1 0.0645 ms 90.4% k_split=4 2025-09-07T10:47:54.0021379Z decompose_k_mm_2_split_0 0.0707 ms 82.5% k_split=2 2025-09-07T10:47:54.0021936Z triton_mm_156 0.1091 ms 53.5% 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 2025-09-07T10:47:54.0022754Z triton_mm_160 0.1546 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 2025-09-07T10:47:54.0023322Z decompose_k_mm_16_split_3 0.1604 ms 36.4% k_split=16 2025-09-07T10:47:54.0023879Z triton_mm_164 0.1822 ms 32.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:47:54.0024417Z decompose_k_mm_8_split_2 0.1838 ms 31.7% k_split=8 2025-09-07T10:47:54.0024704Z decompose_k_mm_32_split_4 0.1968 ms 29.6% k_split=32 2025-09-07T10:47:54.0025252Z triton_mm_155 0.2790 ms 20.9% 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 2025-09-07T10:47:54.0025971Z SingleProcess AUTOTUNE benchmarking takes 1.3736 seconds and 0.4176 seconds precompiling for 25 choices 2025-09-07T10:47:54.5523403Z Autotune Choices Stats: 2025-09-07T10:47:54.5524436Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_150", "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": 0.06332799792289734, "best_triton_pos": 0} 2025-09-07T10:47:54.5536528Z AUTOTUNE mm(50272x128, 128x1024) 2025-09-07T10:47:54.5536839Z strides: [128, 1], [1024, 1] 2025-09-07T10:47:54.5537075Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:54.5538537Z triton_mm_150 0.0633 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 2025-09-07T10:47:54.5539490Z triton_mm_142 0.0639 ms 99.1% 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 2025-09-07T10:47:54.5540408Z triton_mm_149 0.0651 ms 97.3% 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 2025-09-07T10:47:54.5541312Z triton_mm_146 0.0661 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 2025-09-07T10:47:54.5542208Z triton_mm_144 0.0691 ms 91.6% 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 2025-09-07T10:47:54.5543105Z triton_mm_147 0.0700 ms 90.4% 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 2025-09-07T10:47:54.5543998Z triton_mm_143 0.0707 ms 89.5% 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 2025-09-07T10:47:54.5544895Z triton_mm_145 0.0724 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 2025-09-07T10:47:54.5545802Z triton_mm_148 0.0724 ms 87.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:47:54.5546391Z mm 0.0750 ms 84.4% 2025-09-07T10:47:54.5546803Z SingleProcess AUTOTUNE benchmarking takes 0.3641 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:47:57.5826305Z Autotune Choices Stats: 2025-09-07T10:47:57.5828057Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01033599954098463, "best_triton_pos": 1, "best_triton_time": 0.01056000031530857, "best_triton_kernel": "triton_mm_199", "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"} 2025-09-07T10:47:57.5840208Z AUTOTUNE mm(1024x128, 128x4096) 2025-09-07T10:47:57.5840717Z strides: [1, 1024], [4096, 1] 2025-09-07T10:47:57.5841267Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:57.5841657Z mm 0.0103 ms 100.0% 2025-09-07T10:47:57.5842490Z triton_mm_199 0.0106 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 2025-09-07T10:47:57.5843902Z triton_mm_206 0.0106 ms 97.9% 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 2025-09-07T10:47:57.5845290Z triton_mm_207 0.0107 ms 97.0% 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 2025-09-07T10:47:57.5846666Z triton_mm_203 0.0108 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 2025-09-07T10:47:57.5849081Z triton_mm_200 0.0109 ms 95.0% 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 2025-09-07T10:47:57.5850453Z triton_mm_196 0.0110 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=2, num_warps=4 2025-09-07T10:47:57.5852090Z triton_mm_204 0.0110 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=4, num_warps=8 2025-09-07T10:47:57.5853463Z triton_mm_202 0.0111 ms 93.4% 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 2025-09-07T10:47:57.5854965Z triton_mm_205 0.0111 ms 92.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:47:57.5856193Z SingleProcess AUTOTUNE benchmarking takes 0.2162 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T10:47:57.9651508Z Autotune Choices Stats: 2025-09-07T10:47:57.9652599Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_237", "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": 0.010111999697983265, "best_triton_pos": 0} 2025-09-07T10:47:57.9666149Z AUTOTUNE mm(4096x128, 128x1024) 2025-09-07T10:47:57.9666417Z strides: [1, 4096], [1024, 1] 2025-09-07T10:47:57.9666674Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:57.9667648Z triton_mm_237 0.0101 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 2025-09-07T10:47:57.9668279Z mm 0.0103 ms 97.8% 2025-09-07T10:47:57.9668861Z triton_mm_244 0.0104 ms 97.5% 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 2025-09-07T10:47:57.9669850Z triton_mm_241 0.0105 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 2025-09-07T10:47:57.9670769Z triton_mm_234 0.0106 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:47:57.9671669Z triton_mm_245 0.0106 ms 95.2% 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 2025-09-07T10:47:57.9672568Z triton_mm_242 0.0108 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:57.9673465Z triton_mm_238 0.0108 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:57.9674363Z triton_mm_240 0.0109 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 2025-09-07T10:47:57.9675262Z triton_mm_243 0.0110 ms 91.9% 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=2, num_warps=8 2025-09-07T10:47:57.9676045Z SingleProcess AUTOTUNE benchmarking takes 0.1934 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:47:58.1942496Z Autotune Choices Stats: 2025-09-07T10:47:58.1943571Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_277", "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": 0.007424000184983015, "best_triton_pos": 0} 2025-09-07T10:47:58.1959602Z AUTOTUNE mm(1024x128, 128x1024) 2025-09-07T10:47:58.1959851Z strides: [1, 1024], [1024, 1] 2025-09-07T10:47:58.1960101Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:58.1960717Z triton_mm_277 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 2025-09-07T10:47:58.1961921Z triton_mm_278 0.0077 ms 96.7% 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 2025-09-07T10:47:58.1962858Z triton_mm_280 0.0078 ms 95.1% 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 2025-09-07T10:47:58.1963426Z mm 0.0078 ms 94.7% 2025-09-07T10:47:58.1963971Z triton_mm_273 0.0078 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 2025-09-07T10:47:58.1964868Z triton_mm_275 0.0078 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:58.1965767Z triton_mm_274 0.0079 ms 94.3% 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 2025-09-07T10:47:58.1966657Z triton_mm_276 0.0079 ms 93.5% 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 2025-09-07T10:47:58.1967933Z triton_mm_283 0.0080 ms 92.4% 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 2025-09-07T10:47:58.1968868Z triton_mm_282 0.0082 ms 90.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:58.1969676Z SingleProcess AUTOTUNE benchmarking takes 0.1852 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:47:58.6196063Z Autotune Choices Stats: 2025-09-07T10:47:58.6197663Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010912000201642513, "best_triton_pos": 1, "best_triton_time": 0.010912000201642513, "best_triton_kernel": "triton_mm_179", "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"} 2025-09-07T10:47:58.6211894Z AUTOTUNE mm(128x1024, 1024x4096) 2025-09-07T10:47:58.6212111Z strides: [1024, 1], [4096, 1] 2025-09-07T10:47:58.6212334Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:58.6212576Z mm 0.0109 ms 100.0% 2025-09-07T10:47:58.6213095Z triton_mm_179 0.0109 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:58.6213957Z triton_mm_183 0.0121 ms 90.5% 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 2025-09-07T10:47:58.6214891Z triton_mm_189 0.0134 ms 81.2% 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 2025-09-07T10:47:58.6215736Z triton_mm_175 0.0135 ms 80.6% 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 2025-09-07T10:47:58.6216564Z triton_mm_178 0.0136 ms 80.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:47:58.6217908Z triton_mm_182 0.0139 ms 78.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:58.6218748Z triton_mm_174 0.0144 ms 75.6% 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 2025-09-07T10:47:58.6219895Z triton_mm_181 0.0151 ms 72.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:58.6220863Z triton_mm_185 0.0152 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=4, num_warps=8 2025-09-07T10:47:58.6221717Z SingleProcess AUTOTUNE benchmarking takes 0.2047 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:47:59.9811550Z Autotune Choices Stats: 2025-09-07T10:47:59.9812831Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.013311999849975109, "best_triton_pos": 1, "best_triton_time": 0.01548799965530634, "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"} 2025-09-07T10:47:59.9828522Z AUTOTUNE mm(128x4096, 4096x1024) 2025-09-07T10:47:59.9828832Z strides: [4096, 1], [1024, 1] 2025-09-07T10:47:59.9829093Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:59.9829356Z mm 0.0133 ms 100.0% 2025-09-07T10:47:59.9830077Z triton_mm_213 0.0155 ms 86.0% 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 2025-09-07T10:47:59.9831187Z triton_mm_217 0.0156 ms 85.4% 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 2025-09-07T10:47:59.9832208Z triton_mm_221 0.0195 ms 68.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:47:59.9833190Z triton_mm_227 0.0285 ms 46.7% 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 2025-09-07T10:47:59.9834163Z triton_mm_212 0.0292 ms 45.6% 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 2025-09-07T10:47:59.9835114Z triton_mm_211 0.0295 ms 45.2% 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 2025-09-07T10:47:59.9836054Z triton_mm_220 0.0308 ms 43.2% 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 2025-09-07T10:47:59.9837000Z triton_mm_216 0.0314 ms 42.4% 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 2025-09-07T10:47:59.9839645Z triton_mm_226 0.0342 ms 38.9% 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 2025-09-07T10:47:59.9840382Z SingleProcess AUTOTUNE benchmarking takes 0.2733 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:48:00.1811126Z Autotune Choices Stats: 2025-09-07T10:48:00.1812099Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_251", "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": 0.008960000239312649, "best_triton_pos": 0} 2025-09-07T10:48:00.1827168Z AUTOTUNE mm(128x1024, 1024x1024) 2025-09-07T10:48:00.1827691Z strides: [1024, 1], [1024, 1] 2025-09-07T10:48:00.1827942Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:00.1828584Z triton_mm_251 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 2025-09-07T10:48:00.1829217Z mm 0.0092 ms 97.9% 2025-09-07T10:48:00.1830176Z triton_mm_255 0.0092 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:48:00.1831344Z triton_mm_259 0.0103 ms 87.0% 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 2025-09-07T10:48:00.1832382Z triton_mm_250 0.0116 ms 77.3% 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 2025-09-07T10:48:00.1833429Z triton_mm_249 0.0119 ms 75.1% 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 2025-09-07T10:48:00.1834466Z triton_mm_254 0.0120 ms 74.9% 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 2025-09-07T10:48:00.1835499Z triton_mm_258 0.0123 ms 73.1% 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 2025-09-07T10:48:00.1836546Z triton_mm_265 0.0123 ms 73.1% 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 2025-09-07T10:48:00.1837745Z triton_mm_257 0.0132 ms 67.8% 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 2025-09-07T10:48:00.1838664Z SingleProcess AUTOTUNE benchmarking takes 0.1990 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:48:01.9728758Z pass 2025-09-07T10:48:05.7310022Z /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. 2025-09-07T10:48:05.7311261Z import pynvml # type: ignore[import] 2025-09-07T10:48:08.8675267Z /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. 2025-09-07T10:48:08.8676624Z from pkg_resources import resource_filename 2025-09-07T10:48:09.4661472Z 2025-09-07T10:48:17.3437210Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:48:17.3437933Z loading model: 0it [00:07, ?it/s] 2025-09-07T10:48:17.3438280Z cuda train PegasusForConditionalGeneration 2025-09-07T10:48:39.7244654Z pass 2025-09-07T10:48:43.4670029Z /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. 2025-09-07T10:48:43.4671259Z import pynvml # type: ignore[import] 2025-09-07T10:48:46.5373998Z /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. 2025-09-07T10:48:46.5376024Z from pkg_resources import resource_filename 2025-09-07T10:48:47.1803985Z 2025-09-07T10:48:47.1939005Z loading model: 0it [00:00, ?it/s]If you want to use `RobertaLMHeadModel` as a standalone, add `is_decoder=True.` 2025-09-07T10:48:47.1939908Z WARNING:transformers.models.roberta.modeling_roberta:If you want to use `RobertaLMHeadModel` as a standalone, add `is_decoder=True.` 2025-09-07T10:48:49.4962735Z We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T10:48:49.4964064Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T10:48:49.4965509Z WARNING:transformers.modeling_utils:We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T10:48:49.4966750Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T10:48:49.7729633Z 2025-09-07T10:48:49.7730021Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:48:49.7730407Z cuda train RobertaForCausalLM 2025-09-07T10:49:08.2684059Z Autotune Choices Stats: 2025-09-07T10:49:08.2685419Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.012864000163972378, "best_triton_pos": 1, "best_triton_time": 0.013919999822974205, "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"} 2025-09-07T10:49:08.2702217Z AUTOTUNE addmm(512x3072, 512x768, 768x3072) 2025-09-07T10:49:08.2702505Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:49:08.2702801Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:49:08.2703115Z bias_addmm 0.0129 ms 100.0% 2025-09-07T10:49:08.2703734Z triton_mm_94 0.0139 ms 92.4% 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 2025-09-07T10:49:08.2704739Z triton_mm_83 0.0141 ms 91.4% 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 2025-09-07T10:49:08.2705733Z triton_mm_87 0.0141 ms 91.4% 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 2025-09-07T10:49:08.2706710Z triton_mm_93 0.0148 ms 86.8% 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 2025-09-07T10:49:08.2707851Z triton_mm_90 0.0155 ms 83.2% 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 2025-09-07T10:49:08.2708838Z triton_mm_86 0.0155 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:08.2709827Z triton_mm_88 0.0163 ms 79.1% 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 2025-09-07T10:49:08.2710812Z triton_mm_84 0.0174 ms 73.8% 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 2025-09-07T10:49:08.2711791Z triton_mm_85 0.0176 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=3, num_warps=4 2025-09-07T10:49:08.2713202Z SingleProcess AUTOTUNE benchmarking takes 0.2759 seconds and 0.0004 seconds precompiling for 21 choices 2025-09-07T10:49:09.9871105Z Autotune Choices Stats: 2025-09-07T10:49:09.9872823Z {"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} 2025-09-07T10:49:09.9888884Z AUTOTUNE addmm(512x768, 512x768, 768x768) 2025-09-07T10:49:09.9889136Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:49:09.9889394Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:49:09.9889995Z 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 2025-09-07T10:49:09.9890562Z bias_addmm 0.0104 ms 91.0% 2025-09-07T10:49:09.9891081Z triton_mm_12 0.0107 ms 88.3% 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 2025-09-07T10:49:09.9892064Z triton_mm_7 0.0117 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 2025-09-07T10:49:09.9893104Z triton_mm_4 0.0119 ms 79.1% 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 2025-09-07T10:49:09.9894055Z triton_mm_11 0.0122 ms 77.2% 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 2025-09-07T10:49:09.9895124Z triton_mm_18 0.0125 ms 75.3% 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 2025-09-07T10:49:09.9896087Z triton_mm_1 0.0127 ms 74.5% 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 2025-09-07T10:49:09.9897043Z triton_mm_3 0.0128 ms 73.6% 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 2025-09-07T10:49:09.9898374Z triton_mm_17 0.0133 ms 70.7% 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 2025-09-07T10:49:09.9899256Z SingleProcess AUTOTUNE benchmarking takes 0.2720 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:49:10.2834372Z Autotune Choices Stats: 2025-09-07T10:49:10.2836344Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.014495999552309513, "best_triton_pos": 1, "best_triton_time": 0.014816000126302242, "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"} 2025-09-07T10:49:10.2851040Z AUTOTUNE addmm(512x768, 512x3072, 3072x768) 2025-09-07T10:49:10.2851288Z strides: [0, 1], [3072, 1], [1, 3072] 2025-09-07T10:49:10.2851571Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:49:10.2851863Z bias_addmm 0.0145 ms 100.0% 2025-09-07T10:49:10.2852424Z triton_mm_103 0.0148 ms 97.8% 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 2025-09-07T10:49:10.2852937Z addmm 0.0173 ms 83.6% 2025-09-07T10:49:10.2853419Z triton_mm_107 0.0180 ms 80.6% 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 2025-09-07T10:49:10.2854561Z triton_mm_99 0.0228 ms 63.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:10.2855456Z triton_mm_113 0.0235 ms 61.7% 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 2025-09-07T10:49:10.2856467Z triton_mm_102 0.0270 ms 53.7% 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 2025-09-07T10:49:10.2857402Z triton_mm_106 0.0274 ms 53.0% 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 2025-09-07T10:49:10.2865395Z triton_mm_96 0.0280 ms 51.7% 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 2025-09-07T10:49:10.2866291Z triton_mm_98 0.0292 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 2025-09-07T10:49:10.2866984Z SingleProcess AUTOTUNE benchmarking takes 0.2937 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:49:10.9109969Z Autotune Choices Stats: 2025-09-07T10:49:10.9110996Z {"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": 0.10611200332641602, "best_triton_pos": 0} 2025-09-07T10:49:10.9128198Z AUTOTUNE addmm(512x50265, 512x768, 768x50265) 2025-09-07T10:49:10.9128454Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:49:10.9128751Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:49:10.9129364Z triton_mm_1404 0.1061 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 2025-09-07T10:49:10.9130227Z triton_mm_1398 0.1202 ms 88.3% 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 2025-09-07T10:49:10.9131085Z triton_mm_1405 0.1280 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:10.9131936Z triton_mm_1403 0.1282 ms 82.8% 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 2025-09-07T10:49:10.9132776Z triton_mm_1397 0.1409 ms 75.3% 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 2025-09-07T10:49:10.9133630Z triton_mm_1399 0.1476 ms 71.9% 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 2025-09-07T10:49:10.9134475Z triton_mm_1396 0.1483 ms 71.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:10.9135400Z triton_mm_1400 0.1563 ms 67.9% 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 2025-09-07T10:49:10.9136236Z triton_mm_1394 0.1629 ms 65.1% 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 2025-09-07T10:49:10.9137075Z triton_mm_1401 0.1635 ms 64.9% 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 2025-09-07T10:49:10.9138391Z SingleProcess AUTOTUNE benchmarking takes 0.5866 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:49:24.6444167Z Autotune Choices Stats: 2025-09-07T10:49:24.6446016Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011487999930977821, "best_triton_pos": 1, "best_triton_time": 0.012480000033974648, "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"} 2025-09-07T10:49:24.6462397Z AUTOTUNE mm(768x512, 512x3072) 2025-09-07T10:49:24.6462641Z strides: [1, 768], [3072, 1] 2025-09-07T10:49:24.6462858Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:24.6463077Z mm 0.0115 ms 100.0% 2025-09-07T10:49:24.6463591Z triton_mm_1512 0.0125 ms 92.1% 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 2025-09-07T10:49:24.6464409Z triton_mm_1511 0.0129 ms 89.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:24.6465227Z triton_mm_1515 0.0131 ms 88.0% 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 2025-09-07T10:49:24.6466136Z triton_mm_1518 0.0132 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:24.6467108Z triton_mm_1510 0.0136 ms 84.7% 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 2025-09-07T10:49:24.6468271Z triton_mm_1514 0.0139 ms 82.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:24.6469244Z triton_mm_1517 0.0140 ms 82.2% 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 2025-09-07T10:49:24.6470215Z triton_mm_1508 0.0147 ms 78.2% 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 2025-09-07T10:49:24.6471194Z triton_mm_1519 0.0159 ms 72.2% 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 2025-09-07T10:49:24.6472049Z SingleProcess AUTOTUNE benchmarking takes 0.2124 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T10:49:24.8733992Z Autotune Choices Stats: 2025-09-07T10:49:24.8735426Z {"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"} 2025-09-07T10:49:24.8752278Z AUTOTUNE mm(3072x512, 512x768) 2025-09-07T10:49:24.8752532Z strides: [1, 3072], [768, 1] 2025-09-07T10:49:24.8752802Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:24.8753071Z mm 0.0113 ms 100.0% 2025-09-07T10:49:24.8753664Z 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 2025-09-07T10:49:24.8754644Z triton_mm_1549 0.0128 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 2025-09-07T10:49:24.8756166Z triton_mm_1553 0.0131 ms 86.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:24.8757157Z triton_mm_1556 0.0134 ms 84.7% 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 2025-09-07T10:49:24.8758458Z triton_mm_1548 0.0135 ms 83.9% 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 2025-09-07T10:49:24.8759412Z triton_mm_1552 0.0137 ms 82.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:24.8760323Z triton_mm_1555 0.0140 ms 80.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:24.8761234Z triton_mm_1546 0.0145 ms 78.0% 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 2025-09-07T10:49:24.8762137Z triton_mm_1557 0.0155 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 2025-09-07T10:49:24.8762929Z SingleProcess AUTOTUNE benchmarking takes 0.2070 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:49:25.2981040Z Autotune Choices Stats: 2025-09-07T10:49:25.2982375Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011744000017642975, "best_triton_pos": 1, "best_triton_time": 0.012512000277638435, "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"} 2025-09-07T10:49:25.2999789Z AUTOTUNE mm(512x768, 768x3072) 2025-09-07T10:49:25.3000018Z strides: [768, 1], [3072, 1] 2025-09-07T10:49:25.3000302Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:25.3000529Z mm 0.0117 ms 100.0% 2025-09-07T10:49:25.3001049Z triton_mm_1500 0.0125 ms 93.9% 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 2025-09-07T10:49:25.3001916Z triton_mm_1493 0.0132 ms 89.1% 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 2025-09-07T10:49:25.3002748Z triton_mm_1489 0.0136 ms 86.6% 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 2025-09-07T10:49:25.3003587Z triton_mm_1499 0.0136 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 2025-09-07T10:49:25.3004447Z triton_mm_1492 0.0140 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 2025-09-07T10:49:25.3005311Z triton_mm_1496 0.0143 ms 82.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:25.3006161Z triton_mm_1494 0.0151 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 2025-09-07T10:49:25.3007001Z triton_mm_1491 0.0160 ms 73.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:25.3008187Z triton_mm_1495 0.0163 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 2025-09-07T10:49:25.3009308Z SingleProcess AUTOTUNE benchmarking takes 0.2086 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:49:25.9896058Z Autotune Choices Stats: 2025-09-07T10:49:25.9898237Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.008895999751985073, "best_triton_pos": 1, "best_triton_time": 0.009056000038981438, "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"} 2025-09-07T10:49:25.9914660Z AUTOTUNE mm(768x512, 512x768) 2025-09-07T10:49:25.9914910Z strides: [1, 768], [768, 1] 2025-09-07T10:49:25.9915154Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:25.9915408Z mm 0.0089 ms 100.0% 2025-09-07T10:49:25.9916012Z triton_mm_1475 0.0091 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 2025-09-07T10:49:25.9917191Z triton_mm_1474 0.0100 ms 89.1% 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 2025-09-07T10:49:25.9918467Z triton_mm_1470 0.0100 ms 88.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:25.9919503Z triton_mm_1473 0.0101 ms 87.7% 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 2025-09-07T10:49:25.9920540Z triton_mm_1477 0.0104 ms 85.8% 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 2025-09-07T10:49:25.9921584Z triton_mm_1481 0.0104 ms 85.8% 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 2025-09-07T10:49:25.9922630Z triton_mm_1480 0.0105 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 2025-09-07T10:49:25.9923682Z triton_mm_1471 0.0106 ms 83.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:25.9924717Z triton_mm_1472 0.0115 ms 77.2% 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 2025-09-07T10:49:25.9925629Z SingleProcess AUTOTUNE benchmarking takes 0.1945 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:49:28.6104076Z Autotune Choices Stats: 2025-09-07T10:49:28.6105346Z {"num_choices": 25, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.08265600353479385, "best_triton_pos": 3, "best_triton_time": 0.15542399883270264, "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"} 2025-09-07T10:49:28.6138956Z AUTOTUNE mm(512x50272, 50272x768) 2025-09-07T10:49:28.6139341Z strides: [50304, 1], [768, 1] 2025-09-07T10:49:28.6139610Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:28.6139883Z mm 0.0827 ms 100.0% 2025-09-07T10:49:28.6140148Z decompose_k_mm_4_split_1 0.0919 ms 90.0% k_split=4 2025-09-07T10:49:28.6140487Z decompose_k_mm_2_split_0 0.1026 ms 80.6% k_split=2 2025-09-07T10:49:28.6141168Z triton_mm_1414 0.1554 ms 53.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:28.6142583Z triton_mm_1418 0.1938 ms 42.7% 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 2025-09-07T10:49:28.6143550Z triton_mm_1410 0.2308 ms 35.8% 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 2025-09-07T10:49:28.6144751Z triton_mm_1424 0.2916 ms 28.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:28.6145740Z triton_mm_1413 0.3014 ms 27.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:28.6146688Z triton_mm_1417 0.3151 ms 26.2% 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 2025-09-07T10:49:28.6147889Z triton_mm_1423 0.3624 ms 22.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:28.6148695Z SingleProcess AUTOTUNE benchmarking takes 1.4213 seconds and 0.0002 seconds precompiling for 25 choices 2025-09-07T10:49:29.1085743Z Autotune Choices Stats: 2025-09-07T10:49:29.1087035Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.07235199958086014, "best_triton_pos": 1, "best_triton_time": 0.08700799942016602, "best_triton_kernel": "triton_mm_1442", "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"} 2025-09-07T10:49:29.1108155Z AUTOTUNE mm(50272x512, 512x768) 2025-09-07T10:49:29.1108394Z strides: [512, 1], [768, 1] 2025-09-07T10:49:29.1108648Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:29.1108894Z mm 0.0724 ms 100.0% 2025-09-07T10:49:29.1109456Z triton_mm_1442 0.0870 ms 83.2% 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 2025-09-07T10:49:29.1110424Z triton_mm_1441 0.0879 ms 82.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:29.1111342Z triton_mm_1443 0.0986 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 2025-09-07T10:49:29.1112261Z triton_mm_1434 0.1024 ms 70.7% 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 2025-09-07T10:49:29.1113165Z triton_mm_1436 0.1029 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 2025-09-07T10:49:29.1114072Z triton_mm_1435 0.1100 ms 65.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:29.1114985Z triton_mm_1439 0.1174 ms 61.6% 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 2025-09-07T10:49:29.1115889Z triton_mm_1438 0.1178 ms 61.4% 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 2025-09-07T10:49:29.1116789Z triton_mm_1437 0.1351 ms 53.6% 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 2025-09-07T10:49:29.1118022Z SingleProcess AUTOTUNE benchmarking takes 0.4957 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:49:29.3082919Z Autotune Choices Stats: 2025-09-07T10:49:29.3084475Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.008991999551653862, "best_triton_pos": 1, "best_triton_time": 0.009088000282645226, "best_triton_kernel": "triton_mm_1452", "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"} 2025-09-07T10:49:29.3103646Z AUTOTUNE mm(512x768, 768x768) 2025-09-07T10:49:29.3103871Z strides: [768, 1], [768, 1] 2025-09-07T10:49:29.3104085Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:29.3104313Z mm 0.0090 ms 100.0% 2025-09-07T10:49:29.3104829Z triton_mm_1452 0.0091 ms 98.9% 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 2025-09-07T10:49:29.3105654Z triton_mm_1456 0.0099 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 2025-09-07T10:49:29.3106453Z triton_mm_1451 0.0111 ms 81.0% 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 2025-09-07T10:49:29.3107550Z triton_mm_1455 0.0111 ms 80.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:29.3108464Z triton_mm_1448 0.0116 ms 77.2% 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 2025-09-07T10:49:29.3109369Z triton_mm_1462 0.0117 ms 76.8% 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 2025-09-07T10:49:29.3110292Z triton_mm_1454 0.0120 ms 74.9% 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 2025-09-07T10:49:29.3111197Z triton_mm_1461 0.0122 ms 73.8% 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 2025-09-07T10:49:29.3112104Z triton_mm_1458 0.0123 ms 73.4% 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 2025-09-07T10:49:29.3112895Z SingleProcess AUTOTUNE benchmarking takes 0.1985 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:49:29.5589477Z Autotune Choices Stats: 2025-09-07T10:49:29.5590637Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.013183999806642532, "best_triton_pos": 1, "best_triton_time": 0.014208000153303146, "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"} 2025-09-07T10:49:29.5609594Z AUTOTUNE mm(512x3072, 3072x768) 2025-09-07T10:49:29.5609819Z strides: [3072, 1], [768, 1] 2025-09-07T10:49:29.5610049Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:29.5610285Z mm 0.0132 ms 100.0% 2025-09-07T10:49:29.5610794Z triton_mm_1528 0.0142 ms 92.8% 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 2025-09-07T10:49:29.5611629Z triton_mm_1532 0.0169 ms 78.0% 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 2025-09-07T10:49:29.5612434Z triton_mm_1524 0.0211 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 2025-09-07T10:49:29.5613494Z triton_mm_1538 0.0240 ms 54.9% 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 2025-09-07T10:49:29.5614297Z triton_mm_1531 0.0254 ms 51.8% 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 2025-09-07T10:49:29.5615340Z triton_mm_1527 0.0262 ms 50.2% 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 2025-09-07T10:49:29.5616171Z triton_mm_1537 0.0283 ms 46.7% 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 2025-09-07T10:49:29.5616998Z triton_mm_1523 0.0293 ms 45.0% 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 2025-09-07T10:49:29.5618153Z triton_mm_1521 0.0297 ms 44.4% 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 2025-09-07T10:49:29.5618901Z SingleProcess AUTOTUNE benchmarking takes 0.2496 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:49:33.5665770Z 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 2025-09-07T10:49:33.5666826Z pred = mod(**cloned_inputs) 2025-09-07T10:49:33.5667790Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 999, in forward 2025-09-07T10:49:33.5668428Z outputs = self.roberta( 2025-09-07T10:49:33.5669021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 826, in forward 2025-09-07T10:49:33.5669637Z embedding_output = self.embeddings( 2025-09-07T10:49:33.5670228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 117, in forward 2025-09-07T10:49:33.5670845Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T10:49:33.5671116Z 2025-09-07T10:49:33.5671123Z 2025-09-07T10:49:34.4299413Z W0907 10:49:34.429000 31208 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:50:01.6437986Z Run failed with return code: -11 2025-09-07T10:50:01.6438513Z Output: None 2025-09-07T10:50:01.6438814Z Error: None 2025-09-07T10:50:02.6711669Z /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. 2025-09-07T10:50:02.6712918Z import pynvml # type: ignore[import] 2025-09-07T10:50:05.7074161Z /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. 2025-09-07T10:50:05.7075707Z from pkg_resources import resource_filename 2025-09-07T10:50:06.4464938Z 2025-09-07T10:50:08.3064591Z loading model: 0it [00:00, ?it/s]We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T10:50:08.3066718Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T10:50:08.3070164Z WARNING:transformers.modeling_utils:We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T10:50:08.3072586Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T10:50:08.6013549Z 2025-09-07T10:50:08.6013831Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:50:08.6014199Z cuda train RobertaForQuestionAnswering 2025-09-07T10:50:27.0361393Z Autotune Choices Stats: 2025-09-07T10:50:27.0363136Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_1372", "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": 0.007840000092983246, "best_triton_pos": 0} 2025-09-07T10:50:27.0382534Z AUTOTUNE mm(512x768, 768x2) 2025-09-07T10:50:27.0382778Z strides: [768, 1], [1, 768] 2025-09-07T10:50:27.0382999Z dtypes: torch.float16, torch.float16 2025-09-07T10:50:27.0383594Z triton_mm_1372 0.0078 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 2025-09-07T10:50:27.0384429Z triton_mm_1378 0.0081 ms 97.2% 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 2025-09-07T10:50:27.0385288Z triton_mm_1383 0.0090 ms 87.2% 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=5, num_warps=8 2025-09-07T10:50:27.0386274Z triton_mm_1371 0.0098 ms 79.8% 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=5, num_warps=4 2025-09-07T10:50:27.0387242Z triton_mm_1375 0.0099 ms 79.5% 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 2025-09-07T10:50:27.0388496Z triton_mm_1370 0.0099 ms 79.0% 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 2025-09-07T10:50:27.0389463Z triton_mm_1382 0.0102 ms 76.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:50:27.0390431Z triton_mm_1369 0.0107 ms 73.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:50:27.0391401Z triton_mm_1377 0.0112 ms 69.8% 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 2025-09-07T10:50:27.0392362Z triton_mm_1380 0.0115 ms 68.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:50:27.0393220Z SingleProcess AUTOTUNE benchmarking takes 0.2054 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:50:38.7248311Z Autotune Choices Stats: 2025-09-07T10:50:38.7249380Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1404", "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": 0.008383999578654766, "best_triton_pos": 0} 2025-09-07T10:50:38.7269232Z AUTOTUNE mm(2x512, 512x768) 2025-09-07T10:50:38.7270121Z strides: [1, 2], [768, 1] 2025-09-07T10:50:38.7270369Z dtypes: torch.float16, torch.float16 2025-09-07T10:50:38.7271039Z triton_mm_1404 0.0084 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:50:38.7272048Z triton_mm_1408 0.0085 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:50:38.7273317Z triton_mm_1403 0.0092 ms 91.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:50:38.7274304Z triton_mm_1402 0.0093 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:50:38.7275300Z triton_mm_1416 0.0094 ms 89.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:50:38.7276288Z triton_mm_1407 0.0095 ms 88.5% 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 2025-09-07T10:50:38.7277469Z triton_mm_1412 0.0095 ms 88.2% 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 2025-09-07T10:50:38.7278465Z triton_mm_1414 0.0100 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:50:38.7279444Z triton_mm_1401 0.0100 ms 83.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:50:38.7280422Z triton_mm_1410 0.0104 ms 80.4% 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 2025-09-07T10:50:38.7281129Z SingleProcess AUTOTUNE benchmarking takes 0.1751 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:50:39.5109212Z Autotune Choices Stats: 2025-09-07T10:50:39.5110519Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_1384", "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=1, num_warps=2", "best_time": 0.006304000038653612, "best_triton_pos": 0} 2025-09-07T10:50:39.5131340Z AUTOTUNE mm(512x2, 2x768) 2025-09-07T10:50:39.5131592Z strides: [2, 1], [768, 1] 2025-09-07T10:50:39.5131849Z dtypes: torch.float16, torch.float16 2025-09-07T10:50:39.5132514Z triton_mm_1384 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=1, num_warps=2 2025-09-07T10:50:39.5133512Z triton_mm_1389 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=2, num_warps=4 2025-09-07T10:50:39.5134470Z triton_mm_1386 0.0064 ms 98.5% 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 2025-09-07T10:50:39.5135534Z triton_mm_1385 0.0064 ms 98.0% 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 2025-09-07T10:50:39.5136505Z triton_mm_1388 0.0065 ms 97.5% 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 2025-09-07T10:50:39.5138030Z triton_mm_1390 0.0065 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:50:39.5139839Z triton_mm_1391 0.0065 ms 97.0% 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 2025-09-07T10:50:39.5140825Z triton_mm_1387 0.0065 ms 96.6% 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 2025-09-07T10:50:39.5142007Z triton_mm_1392 0.0065 ms 96.6% 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=3, num_warps=4 2025-09-07T10:50:39.5143006Z triton_mm_1394 0.0065 ms 96.6% 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 2025-09-07T10:50:39.5143865Z SingleProcess AUTOTUNE benchmarking takes 0.1542 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:50:43.9734091Z 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 2025-09-07T10:50:43.9735279Z pred = mod(**cloned_inputs) 2025-09-07T10:50:43.9735931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 1516, in forward 2025-09-07T10:50:43.9736565Z outputs = self.roberta( 2025-09-07T10:50:43.9737151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 826, in forward 2025-09-07T10:50:43.9738241Z embedding_output = self.embeddings( 2025-09-07T10:50:43.9738835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 117, in forward 2025-09-07T10:50:43.9739516Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T10:50:43.9739802Z 2025-09-07T10:50:43.9739806Z 2025-09-07T10:50:44.4346359Z W0907 10:50:44.433000 34671 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:51:11.2783094Z Run failed with return code: -11 2025-09-07T10:51:11.2783431Z Output: None 2025-09-07T10:51:11.2783640Z Error: None 2025-09-07T10:51:12.2520558Z /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. 2025-09-07T10:51:12.2521772Z import pynvml # type: ignore[import] 2025-09-07T10:51:15.3424407Z /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. 2025-09-07T10:51:15.3425874Z from pkg_resources import resource_filename 2025-09-07T10:51:15.9185271Z 2025-09-07T10:51:17.6926059Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:51:17.6926524Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:51:17.6926926Z cuda train T5ForConditionalGeneration 2025-09-07T10:51:40.4580707Z Autotune Choices Stats: 2025-09-07T10:51:40.4581999Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010816000401973724, "best_triton_pos": 1, "best_triton_time": 0.011264000087976456, "best_triton_kernel": "triton_mm_131", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:51:40.4603546Z AUTOTUNE mm(1024x512, 512x2048) 2025-09-07T10:51:40.4604315Z strides: [512, 1], [1, 512] 2025-09-07T10:51:40.4604577Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:40.4604867Z mm 0.0108 ms 100.0% 2025-09-07T10:51:40.4605481Z triton_mm_131 0.0113 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=5, num_warps=8 2025-09-07T10:51:40.4606751Z triton_mm_124 0.0115 ms 93.9% 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 2025-09-07T10:51:40.4608215Z triton_mm_130 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=3, num_warps=4 2025-09-07T10:51:40.4609199Z triton_mm_120 0.0125 ms 86.4% 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 2025-09-07T10:51:40.4610120Z triton_mm_123 0.0125 ms 86.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:51:40.4611162Z triton_mm_127 0.0125 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 2025-09-07T10:51:40.4612021Z triton_mm_125 0.0129 ms 83.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:51:40.4612864Z triton_mm_122 0.0136 ms 79.3% 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 2025-09-07T10:51:40.4613692Z triton_mm_126 0.0136 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 2025-09-07T10:51:40.4614429Z SingleProcess AUTOTUNE benchmarking takes 0.2391 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T10:51:41.8258441Z Autotune Choices Stats: 2025-09-07T10:51:41.8259681Z {"num_choices": 20, "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": 0.008991999551653862, "best_triton_pos": 0} 2025-09-07T10:51:41.8279870Z AUTOTUNE mm(1024x512, 512x512) 2025-09-07T10:51:41.8280131Z strides: [512, 1], [1, 512] 2025-09-07T10:51:41.8280494Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:41.8281144Z triton_mm_8 0.0090 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 2025-09-07T10:51:41.8282133Z triton_mm_12 0.0093 ms 96.2% 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 2025-09-07T10:51:41.8282755Z mm 0.0095 ms 94.6% 2025-09-07T10:51:41.8283302Z triton_mm_7 0.0100 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 2025-09-07T10:51:41.8284253Z triton_mm_11 0.0102 ms 87.8% 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 2025-09-07T10:51:41.8285183Z triton_mm_4 0.0103 ms 87.3% 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 2025-09-07T10:51:41.8286123Z triton_mm_18 0.0108 ms 83.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:51:41.8287752Z triton_mm_10 0.0110 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=4, num_warps=8 2025-09-07T10:51:41.8288766Z triton_mm_3 0.0111 ms 81.2% 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 2025-09-07T10:51:41.8289914Z triton_mm_14 0.0113 ms 79.8% 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 2025-09-07T10:51:41.8290658Z SingleProcess AUTOTUNE benchmarking takes 0.2349 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:51:42.0615114Z Autotune Choices Stats: 2025-09-07T10:51:42.0616333Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "bmm", "best_time": 0.013088000006973743, "best_triton_pos": 1, "best_triton_time": 0.013919999822974205, "best_triton_kernel": "triton_bmm_65", "best_triton_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=5, num_warps=4"} 2025-09-07T10:51:42.0637126Z AUTOTUNE bmm(8x1024x64, 8x64x1024) 2025-09-07T10:51:42.0637486Z strides: [64, 512, 1], [64, 1, 512] 2025-09-07T10:51:42.0637747Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:42.0637983Z bmm 0.0131 ms 100.0% 2025-09-07T10:51:42.0638538Z triton_bmm_65 0.0139 ms 94.0% 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=5, num_warps=4 2025-09-07T10:51:42.0639614Z triton_bmm_75 0.0141 ms 92.5% 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 2025-09-07T10:51:42.0640570Z triton_bmm_66 0.0142 ms 92.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:51:42.0641527Z triton_bmm_67 0.0143 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:51:42.0642481Z triton_bmm_68 0.0143 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 2025-09-07T10:51:42.0643422Z triton_bmm_70 0.0143 ms 91.3% 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 2025-09-07T10:51:42.0644387Z triton_bmm_73 0.0144 ms 91.1% 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 2025-09-07T10:51:42.0645333Z triton_bmm_71 0.0145 ms 90.5% 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 2025-09-07T10:51:42.0646276Z triton_bmm_69 0.0145 ms 90.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:51:42.0647114Z SingleProcess AUTOTUNE benchmarking takes 0.2336 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:51:42.2878742Z Autotune Choices Stats: 2025-09-07T10:51:42.2879717Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_88", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.014879999682307243, "best_triton_pos": 0} 2025-09-07T10:51:42.2901051Z AUTOTUNE bmm(8x1024x1024, 8x1024x64) 2025-09-07T10:51:42.2901323Z strides: [1048576, 1024, 1], [64, 512, 1] 2025-09-07T10:51:42.2901602Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:42.2902471Z triton_bmm_88 0.0149 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:51:42.2903443Z triton_bmm_84 0.0150 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:51:42.2904060Z bmm 0.0155 ms 96.3% 2025-09-07T10:51:42.2904789Z triton_bmm_93 0.0156 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:51:42.2905753Z triton_bmm_87 0.0171 ms 87.2% 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=4 2025-09-07T10:51:42.2906702Z triton_bmm_83 0.0175 ms 85.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:51:42.2907962Z triton_bmm_80 0.0180 ms 82.9% 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 2025-09-07T10:51:42.2908934Z triton_bmm_92 0.0180 ms 82.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:51:42.2909893Z triton_bmm_78 0.0188 ms 79.1% 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 2025-09-07T10:51:42.2910793Z triton_bmm_77 0.0188 ms 78.9% 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 2025-09-07T10:51:42.2911576Z SingleProcess AUTOTUNE benchmarking takes 0.2254 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:51:42.5848638Z Autotune Choices Stats: 2025-09-07T10:51:42.5849916Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011807999573647976, "best_triton_pos": 1, "best_triton_time": 0.014368000440299511, "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"} 2025-09-07T10:51:42.5873526Z AUTOTUNE mm(1024x2048, 2048x512) 2025-09-07T10:51:42.5873794Z strides: [2048, 1], [1, 2048] 2025-09-07T10:51:42.5874050Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:42.5874323Z mm 0.0118 ms 100.0% 2025-09-07T10:51:42.5874908Z triton_mm_144 0.0144 ms 82.2% 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 2025-09-07T10:51:42.5875863Z triton_mm_140 0.0161 ms 73.4% 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 2025-09-07T10:51:42.5876857Z triton_mm_150 0.0179 ms 65.9% 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 2025-09-07T10:51:42.5878159Z triton_mm_143 0.0201 ms 58.7% 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 2025-09-07T10:51:42.5879182Z triton_mm_133 0.0220 ms 53.6% 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 2025-09-07T10:51:42.5880080Z triton_mm_149 0.0220 ms 53.6% 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 2025-09-07T10:51:42.5880973Z triton_mm_142 0.0231 ms 51.1% 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 2025-09-07T10:51:42.5882155Z triton_mm_146 0.0236 ms 50.1% 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 2025-09-07T10:51:42.5883203Z triton_mm_134 0.0251 ms 47.1% 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 2025-09-07T10:51:42.5883984Z SingleProcess AUTOTUNE benchmarking takes 0.2958 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:51:43.1810401Z Autotune Choices Stats: 2025-09-07T10:51:43.1811693Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.062111999839544296, "best_triton_pos": 1, "best_triton_time": 0.07692799717187881, "best_triton_kernel": "triton_mm_2507", "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"} 2025-09-07T10:51:43.1834926Z AUTOTUNE mm(1024x512, 512x32128) 2025-09-07T10:51:43.1835194Z strides: [512, 1], [1, 512] 2025-09-07T10:51:43.1835454Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:43.1835723Z mm 0.0621 ms 100.0% 2025-09-07T10:51:43.1836333Z triton_mm_2507 0.0769 ms 80.7% 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 2025-09-07T10:51:43.1837661Z triton_mm_2506 0.0824 ms 75.4% 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 2025-09-07T10:51:43.1838628Z triton_mm_2501 0.0899 ms 69.1% 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 2025-09-07T10:51:43.1839730Z triton_mm_2508 0.0910 ms 68.2% 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 2025-09-07T10:51:43.1840581Z triton_mm_2504 0.1071 ms 58.0% 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 2025-09-07T10:51:43.1841420Z triton_mm_2503 0.1088 ms 57.1% 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 2025-09-07T10:51:43.1842261Z triton_mm_2499 0.1119 ms 55.5% 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 2025-09-07T10:51:43.1843095Z triton_mm_2500 0.1122 ms 55.3% 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 2025-09-07T10:51:43.1843933Z triton_mm_2497 0.1166 ms 53.3% 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 2025-09-07T10:51:43.1844667Z SingleProcess AUTOTUNE benchmarking takes 0.4873 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:52:00.0574651Z Autotune Choices Stats: 2025-09-07T10:52:00.0576085Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.05753599852323532, "best_triton_pos": 1, "best_triton_time": 0.06969600170850754, "best_triton_kernel": "triton_mm_2526", "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"} 2025-09-07T10:52:00.0599317Z AUTOTUNE mm(32128x1024, 1024x512) 2025-09-07T10:52:00.0599574Z strides: [1, 32128], [512, 1] 2025-09-07T10:52:00.0599804Z dtypes: torch.float16, torch.float16 2025-09-07T10:52:00.0600732Z mm 0.0575 ms 100.0% 2025-09-07T10:52:00.0601266Z triton_mm_2526 0.0697 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 2025-09-07T10:52:00.0602127Z triton_mm_2525 0.0716 ms 80.4% 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 2025-09-07T10:52:00.0603239Z triton_mm_2527 0.0747 ms 77.0% 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 2025-09-07T10:52:00.0604109Z triton_mm_2519 0.0786 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 2025-09-07T10:52:00.0605001Z triton_mm_2518 0.0810 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 2025-09-07T10:52:00.0605875Z triton_mm_2520 0.0818 ms 70.4% 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 2025-09-07T10:52:00.0606737Z triton_mm_2522 0.0895 ms 64.3% 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 2025-09-07T10:52:00.0607776Z triton_mm_2523 0.0914 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 2025-09-07T10:52:00.0608633Z triton_mm_2521 0.0930 ms 61.9% 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 2025-09-07T10:52:00.0609382Z SingleProcess AUTOTUNE benchmarking takes 0.4421 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:52:00.4994020Z Autotune Choices Stats: 2025-09-07T10:52:00.4995474Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011136000044643879, "best_triton_pos": 1, "best_triton_time": 0.011264000087976456, "best_triton_kernel": "triton_mm_2584", "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"} 2025-09-07T10:52:00.5020078Z AUTOTUNE mm(1024x512, 512x2048) 2025-09-07T10:52:00.5020360Z strides: [512, 1], [2048, 1] 2025-09-07T10:52:00.5020619Z dtypes: torch.float16, torch.float16 2025-09-07T10:52:00.5020900Z mm 0.0111 ms 100.0% 2025-09-07T10:52:00.5021533Z triton_mm_2584 0.0113 ms 98.9% 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 2025-09-07T10:52:00.5022543Z triton_mm_2577 0.0118 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:52:00.5023500Z triton_mm_2583 0.0119 ms 93.3% 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 2025-09-07T10:52:00.5024519Z triton_mm_2576 0.0121 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:52:00.5025638Z triton_mm_2580 0.0122 ms 91.3% 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 2025-09-07T10:52:00.5026597Z triton_mm_2573 0.0124 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 2025-09-07T10:52:00.5028099Z triton_mm_2579 0.0132 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=3, num_warps=4 2025-09-07T10:52:00.5029078Z triton_mm_2575 0.0133 ms 83.7% 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 2025-09-07T10:52:00.5030253Z triton_mm_2578 0.0135 ms 82.5% 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 2025-09-07T10:52:00.5031116Z SingleProcess AUTOTUNE benchmarking takes 0.2053 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:52:01.0885553Z Autotune Choices Stats: 2025-09-07T10:52:01.0886848Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011327999643981457, "best_triton_pos": 1, "best_triton_time": 0.01196799986064434, "best_triton_kernel": "triton_mm_2559", "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"} 2025-09-07T10:52:01.0909619Z AUTOTUNE mm(512x1024, 1024x2048) 2025-09-07T10:52:01.0909877Z strides: [1, 512], [2048, 1] 2025-09-07T10:52:01.0910125Z dtypes: torch.float16, torch.float16 2025-09-07T10:52:01.0910380Z mm 0.0113 ms 100.0% 2025-09-07T10:52:01.0910996Z triton_mm_2559 0.0120 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:52:01.0912009Z triton_mm_2565 0.0136 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:52:01.0912987Z triton_mm_2558 0.0140 ms 81.2% 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 2025-09-07T10:52:01.0913961Z triton_mm_2555 0.0140 ms 80.8% 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 2025-09-07T10:52:01.0914926Z triton_mm_2554 0.0140 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 2025-09-07T10:52:01.0915883Z triton_mm_2557 0.0149 ms 76.1% 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 2025-09-07T10:52:01.0916782Z triton_mm_2561 0.0151 ms 74.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:52:01.0917824Z triton_mm_2564 0.0157 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=3, num_warps=4 2025-09-07T10:52:01.0918731Z triton_mm_2556 0.0180 ms 62.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:52:01.0919522Z SingleProcess AUTOTUNE benchmarking takes 0.2107 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:52:01.3433219Z Autotune Choices Stats: 2025-09-07T10:52:01.3434531Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010944000445306301, "best_triton_pos": 1, "best_triton_time": 0.011615999974310398, "best_triton_kernel": "triton_mm_2597", "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"} 2025-09-07T10:52:01.3459972Z AUTOTUNE mm(2048x1024, 1024x512) 2025-09-07T10:52:01.3460256Z strides: [1, 2048], [512, 1] 2025-09-07T10:52:01.3461152Z dtypes: torch.float16, torch.float16 2025-09-07T10:52:01.3461440Z mm 0.0109 ms 100.0% 2025-09-07T10:52:01.3462055Z triton_mm_2597 0.0116 ms 94.2% 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 2025-09-07T10:52:01.3463278Z triton_mm_2603 0.0130 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:52:01.3464292Z triton_mm_2596 0.0139 ms 79.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:52:01.3465421Z triton_mm_2592 0.0139 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 2025-09-07T10:52:01.3466429Z triton_mm_2593 0.0144 ms 76.0% 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 2025-09-07T10:52:01.3467745Z triton_mm_2595 0.0147 ms 74.5% 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 2025-09-07T10:52:01.3468730Z triton_mm_2599 0.0147 ms 74.3% 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 2025-09-07T10:52:01.3469717Z triton_mm_2602 0.0153 ms 71.4% 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 2025-09-07T10:52:01.3470689Z triton_mm_2594 0.0174 ms 62.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:52:01.3471537Z SingleProcess AUTOTUNE benchmarking takes 0.2103 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:52:01.7976314Z Autotune Choices Stats: 2025-09-07T10:52:01.7977744Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_2627", "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": 0.009472000412642956, "best_triton_pos": 0} 2025-09-07T10:52:01.8002062Z AUTOTUNE mm(512x1024, 1024x512) 2025-09-07T10:52:01.8002336Z strides: [1, 512], [512, 1] 2025-09-07T10:52:01.8002589Z dtypes: torch.float16, torch.float16 2025-09-07T10:52:01.8003255Z triton_mm_2627 0.0095 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 2025-09-07T10:52:01.8003887Z mm 0.0097 ms 97.7% 2025-09-07T10:52:01.8004459Z triton_mm_2631 0.0097 ms 97.7% 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 2025-09-07T10:52:01.8005511Z triton_mm_2635 0.0110 ms 86.3% 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 2025-09-07T10:52:01.8006386Z triton_mm_2626 0.0123 ms 77.1% 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 2025-09-07T10:52:01.8007211Z triton_mm_2625 0.0125 ms 75.9% 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 2025-09-07T10:52:01.8008207Z triton_mm_2630 0.0126 ms 74.9% 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 2025-09-07T10:52:01.8009426Z triton_mm_2641 0.0130 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 2025-09-07T10:52:01.8010273Z triton_mm_2634 0.0132 ms 71.5% 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 2025-09-07T10:52:01.8011309Z triton_mm_2633 0.0139 ms 68.2% 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 2025-09-07T10:52:01.8012061Z SingleProcess AUTOTUNE benchmarking takes 0.2037 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:52:02.2129928Z Autotune Choices Stats: 2025-09-07T10:52:02.2131006Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_2775", "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": 0.009344000369310379, "best_triton_pos": 0} 2025-09-07T10:52:02.2156998Z AUTOTUNE mm(512x1024, 1024x512) 2025-09-07T10:52:02.2157471Z strides: [1024, 1], [512, 1] 2025-09-07T10:52:02.2157765Z dtypes: torch.float16, torch.float16 2025-09-07T10:52:02.2158443Z triton_mm_2775 0.0093 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 2025-09-07T10:52:02.2159467Z triton_mm_2779 0.0097 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 2025-09-07T10:52:02.2160088Z mm 0.0100 ms 93.0% 2025-09-07T10:52:02.2160674Z triton_mm_2783 0.0115 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 2025-09-07T10:52:02.2161655Z triton_mm_2774 0.0123 ms 75.8% 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 2025-09-07T10:52:02.2162623Z triton_mm_2773 0.0124 ms 75.1% 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 2025-09-07T10:52:02.2163587Z triton_mm_2778 0.0124 ms 75.1% 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 2025-09-07T10:52:02.2164552Z triton_mm_2789 0.0130 ms 71.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:52:02.2165639Z triton_mm_2782 0.0131 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 2025-09-07T10:52:02.2166556Z triton_mm_2781 0.0141 ms 66.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:52:02.2167502Z SingleProcess AUTOTUNE benchmarking takes 0.2067 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:52:03.7694760Z Autotune Choices Stats: 2025-09-07T10:52:03.7696092Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.062144000083208084, "best_triton_pos": 1, "best_triton_time": 0.08064000308513641, "best_triton_kernel": "triton_mm_2536", "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"} 2025-09-07T10:52:03.7721809Z AUTOTUNE mm(1024x32128, 32128x512) 2025-09-07T10:52:03.7722084Z strides: [32128, 1], [512, 1] 2025-09-07T10:52:03.7722351Z dtypes: torch.float16, torch.float16 2025-09-07T10:52:03.7723225Z mm 0.0621 ms 100.0% 2025-09-07T10:52:03.7723845Z triton_mm_2536 0.0806 ms 77.1% 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 2025-09-07T10:52:03.7724851Z triton_mm_2540 0.1068 ms 58.2% 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 2025-09-07T10:52:03.7726097Z triton_mm_2532 0.1632 ms 38.1% 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 2025-09-07T10:52:03.7726985Z triton_mm_2546 0.1732 ms 35.9% 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 2025-09-07T10:52:03.7728027Z triton_mm_2539 0.1930 ms 32.2% 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 2025-09-07T10:52:03.7728869Z triton_mm_2535 0.1968 ms 31.6% 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 2025-09-07T10:52:03.7729706Z triton_mm_2545 0.2221 ms 28.0% 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 2025-09-07T10:52:03.7730557Z triton_mm_2531 0.2420 ms 25.7% 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 2025-09-07T10:52:03.7731393Z triton_mm_2538 0.2425 ms 25.6% 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 2025-09-07T10:52:03.7732130Z SingleProcess AUTOTUNE benchmarking takes 0.6114 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:52:03.9987672Z Autotune Choices Stats: 2025-09-07T10:52:03.9988932Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011807999573647976, "best_triton_pos": 1, "best_triton_time": 0.012575999833643436, "best_triton_kernel": "triton_mm_2612", "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"} 2025-09-07T10:52:04.0013986Z AUTOTUNE mm(1024x2048, 2048x512) 2025-09-07T10:52:04.0014273Z strides: [2048, 1], [512, 1] 2025-09-07T10:52:04.0014541Z dtypes: torch.float16, torch.float16 2025-09-07T10:52:04.0014919Z mm 0.0118 ms 100.0% 2025-09-07T10:52:04.0015524Z triton_mm_2612 0.0126 ms 93.9% 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 2025-09-07T10:52:04.0016531Z triton_mm_2616 0.0138 ms 85.4% 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 2025-09-07T10:52:04.0017682Z triton_mm_2608 0.0174 ms 68.0% 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 2025-09-07T10:52:04.0018683Z triton_mm_2622 0.0186 ms 63.5% 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 2025-09-07T10:52:04.0019671Z triton_mm_2615 0.0196 ms 60.3% 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 2025-09-07T10:52:04.0020639Z triton_mm_2611 0.0198 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 2025-09-07T10:52:04.0021602Z triton_mm_2621 0.0215 ms 55.0% 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 2025-09-07T10:52:04.0023042Z triton_mm_2607 0.0219 ms 53.9% 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 2025-09-07T10:52:04.0024211Z triton_mm_2614 0.0227 ms 52.0% 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 2025-09-07T10:52:04.0025061Z SingleProcess AUTOTUNE benchmarking takes 0.2284 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:52:04.1924582Z Autotune Choices Stats: 2025-09-07T10:52:04.1925595Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_2650", "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": 0.008832000195980072, "best_triton_pos": 0} 2025-09-07T10:52:04.1951049Z AUTOTUNE mm(1024x512, 512x512) 2025-09-07T10:52:04.1951359Z strides: [512, 1], [512, 1] 2025-09-07T10:52:04.1951615Z dtypes: torch.float16, torch.float16 2025-09-07T10:52:04.1952281Z triton_mm_2650 0.0088 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 2025-09-07T10:52:04.1952954Z mm 0.0092 ms 96.5% 2025-09-07T10:52:04.1953548Z triton_mm_2654 0.0098 ms 89.9% 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 2025-09-07T10:52:04.1954548Z triton_mm_2649 0.0100 ms 88.2% 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 2025-09-07T10:52:04.1955519Z triton_mm_2653 0.0102 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 2025-09-07T10:52:04.1956509Z triton_mm_2646 0.0106 ms 83.4% 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 2025-09-07T10:52:04.1957601Z triton_mm_2656 0.0107 ms 82.9% 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 2025-09-07T10:52:04.1958464Z triton_mm_2652 0.0108 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=4, num_warps=8 2025-09-07T10:52:04.1959322Z triton_mm_2660 0.0108 ms 81.7% 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 2025-09-07T10:52:04.1960175Z triton_mm_2645 0.0110 ms 80.0% 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 2025-09-07T10:52:04.1960914Z SingleProcess AUTOTUNE benchmarking takes 0.1928 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:52:04.3926288Z Autotune Choices Stats: 2025-09-07T10:52:04.3928118Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_2673", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.015424000099301338, "best_triton_pos": 0} 2025-09-07T10:52:04.3952880Z AUTOTUNE bmm(8x1024x1024, 8x1024x64) 2025-09-07T10:52:04.3953161Z strides: [1048576, 1, 1024], [64, 512, 1] 2025-09-07T10:52:04.3953436Z dtypes: torch.float16, torch.float16 2025-09-07T10:52:04.3954088Z triton_bmm_2673 0.0154 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:52:04.3955578Z triton_bmm_2669 0.0156 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 2025-09-07T10:52:04.3956212Z bmm 0.0160 ms 96.4% 2025-09-07T10:52:04.3956999Z triton_bmm_2678 0.0161 ms 95.6% 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 2025-09-07T10:52:04.3958117Z triton_bmm_2672 0.0167 ms 92.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:52:04.3959031Z triton_bmm_2668 0.0171 ms 90.4% 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 2025-09-07T10:52:04.3959954Z triton_bmm_2671 0.0175 ms 88.1% 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=4, num_warps=8 2025-09-07T10:52:04.3960861Z triton_bmm_2664 0.0176 ms 87.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:52:04.3961781Z triton_bmm_2677 0.0176 ms 87.6% 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=3, num_warps=4 2025-09-07T10:52:04.3962698Z triton_bmm_2665 0.0180 ms 85.6% 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 2025-09-07T10:52:04.3963505Z SingleProcess AUTOTUNE benchmarking takes 0.1998 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:52:04.5849709Z Autotune Choices Stats: 2025-09-07T10:52:04.5851239Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_2706", "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": 0.015519999898970127, "best_triton_pos": 0} 2025-09-07T10:52:04.5876808Z AUTOTUNE bmm(8x64x1024, 8x1024x1024) 2025-09-07T10:52:04.5878704Z strides: [64, 1, 512], [1048576, 1024, 1] 2025-09-07T10:52:04.5879180Z dtypes: torch.float16, torch.float16 2025-09-07T10:52:04.5880195Z triton_bmm_2706 0.0155 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 2025-09-07T10:52:04.5881138Z bmm 0.0159 ms 97.8% 2025-09-07T10:52:04.5882088Z triton_bmm_2710 0.0159 ms 97.6% 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 2025-09-07T10:52:04.5883569Z triton_bmm_2714 0.0159 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=5, num_warps=8 2025-09-07T10:52:04.5885037Z triton_bmm_2705 0.0171 ms 90.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:52:04.5886602Z triton_bmm_2709 0.0172 ms 90.0% 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 2025-09-07T10:52:04.5887703Z triton_bmm_2700 0.0177 ms 87.7% 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 2025-09-07T10:52:04.5888558Z triton_bmm_2712 0.0177 ms 87.7% 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 2025-09-07T10:52:04.5889929Z triton_bmm_2702 0.0178 ms 87.4% 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 2025-09-07T10:52:04.5890819Z triton_bmm_2701 0.0181 ms 85.7% 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 2025-09-07T10:52:04.5891759Z SingleProcess AUTOTUNE benchmarking takes 0.1906 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:52:04.7815441Z Autotune Choices Stats: 2025-09-07T10:52:04.7816703Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.009184000082314014, "best_triton_pos": 1, "best_triton_time": 0.009184000082314014, "best_triton_kernel": "triton_mm_2798", "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"} 2025-09-07T10:52:04.7843206Z AUTOTUNE mm(1024x512, 512x512) 2025-09-07T10:52:04.7843478Z strides: [1, 1024], [512, 1] 2025-09-07T10:52:04.7843737Z dtypes: torch.float16, torch.float16 2025-09-07T10:52:04.7844011Z mm 0.0092 ms 100.0% 2025-09-07T10:52:04.7844614Z triton_mm_2798 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 2025-09-07T10:52:04.7845631Z triton_mm_2802 0.0097 ms 95.0% 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 2025-09-07T10:52:04.7846653Z triton_mm_2797 0.0098 ms 93.5% 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 2025-09-07T10:52:04.7847782Z triton_mm_2808 0.0105 ms 87.8% 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 2025-09-07T10:52:04.7848779Z triton_mm_2801 0.0105 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 2025-09-07T10:52:04.7849742Z triton_mm_2793 0.0108 ms 85.4% 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 2025-09-07T10:52:04.7850724Z triton_mm_2800 0.0108 ms 84.9% 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 2025-09-07T10:52:04.7851710Z triton_mm_2794 0.0108 ms 84.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:52:04.7852666Z triton_mm_2804 0.0108 ms 84.7% 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 2025-09-07T10:52:04.7853542Z SingleProcess AUTOTUNE benchmarking takes 0.1942 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:52:09.0021617Z 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 2025-09-07T10:52:09.0022728Z pred = mod(**cloned_inputs) 2025-09-07T10:52:09.0023336Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward 2025-09-07T10:52:09.0023919Z decoder_outputs = self.decoder( 2025-09-07T10:52:09.0024466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward 2025-09-07T10:52:09.0025042Z layer_outputs = layer_module( 2025-09-07T10:52:09.0026356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T10:52:09.0026916Z return super().__call__(*args, **kwargs) 2025-09-07T10:52:09.0028089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward 2025-09-07T10:52:09.0028664Z self_attention_outputs = self.layer[0]( 2025-09-07T10:52:09.0029513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward 2025-09-07T10:52:09.0030095Z attention_output = self.SelfAttention( 2025-09-07T10:52:09.0030661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 539, in forward 2025-09-07T10:52:09.0031230Z position_bias = self.compute_bias( 2025-09-07T10:52:09.0031806Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 463, in compute_bias 2025-09-07T10:52:09.0032624Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T10:52:09.0033052Z 2025-09-07T10:52:09.0033056Z 2025-09-07T10:52:09.9583606Z W0907 10:52:09.957000 35841 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:52:27.3785139Z pass 2025-09-07T10:52:33.1199221Z /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. 2025-09-07T10:52:33.1200476Z import pynvml # type: ignore[import] 2025-09-07T10:52:36.1819473Z /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. 2025-09-07T10:52:36.1820634Z from pkg_resources import resource_filename 2025-09-07T10:52:36.7842206Z 2025-09-07T10:52:38.9663883Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:52:38.9664163Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:52:38.9664415Z cuda train T5Small 2025-09-07T10:52:45.5521600Z 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 2025-09-07T10:52:45.5522691Z pred = mod(**cloned_inputs) 2025-09-07T10:52:45.5523295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward 2025-09-07T10:52:45.5523879Z decoder_outputs = self.decoder( 2025-09-07T10:52:45.5524461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward 2025-09-07T10:52:45.5525019Z layer_outputs = layer_module( 2025-09-07T10:52:45.5525544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T10:52:45.5526119Z return super().__call__(*args, **kwargs) 2025-09-07T10:52:45.5526699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward 2025-09-07T10:52:45.5527636Z self_attention_outputs = self.layer[0]( 2025-09-07T10:52:45.5528233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward 2025-09-07T10:52:45.5528838Z attention_output = self.SelfAttention( 2025-09-07T10:52:45.5529428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 539, in forward 2025-09-07T10:52:45.5530487Z position_bias = self.compute_bias( 2025-09-07T10:52:45.5531015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 463, in compute_bias 2025-09-07T10:52:45.5531718Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T10:52:45.5532090Z 2025-09-07T10:52:45.5532093Z 2025-09-07T10:52:46.2208235Z W0907 10:52:46.219000 40395 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:52:50.4608429Z pass 2025-09-07T10:52:54.0367735Z /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. 2025-09-07T10:52:54.0369244Z import pynvml # type: ignore[import] 2025-09-07T10:52:57.0739468Z /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. 2025-09-07T10:52:57.0740816Z from pkg_resources import resource_filename 2025-09-07T10:52:57.6612440Z 2025-09-07T10:53:01.3063195Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:53:01.3063592Z loading model: 0it [00:03, ?it/s] 2025-09-07T10:53:01.3063935Z cuda train TrOCRForCausalLM 2025-09-07T10:53:01.3343309Z WARNING:common:fp64 golden ref were not generated for TrOCRForCausalLM. Setting accuracy check to cosine 2025-09-07T10:53:10.6588494Z Autotune Choices Stats: 2025-09-07T10:53:10.6589550Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_88", "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": 0.01283199992030859, "best_triton_pos": 0} 2025-09-07T10:53:10.6618121Z AUTOTUNE addmm(256x4096, 256x1024, 1024x4096) 2025-09-07T10:53:10.6618486Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:53:10.6618797Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:53:10.6619536Z triton_mm_88 0.0128 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 2025-09-07T10:53:10.6620185Z bias_addmm 0.0129 ms 99.3% 2025-09-07T10:53:10.6620819Z triton_mm_94 0.0148 ms 86.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:10.6621816Z triton_mm_83 0.0148 ms 86.4% 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 2025-09-07T10:53:10.6622811Z triton_mm_87 0.0152 ms 84.6% 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 2025-09-07T10:53:10.6632127Z triton_mm_84 0.0154 ms 83.2% 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 2025-09-07T10:53:10.6633173Z triton_mm_93 0.0165 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=3, num_warps=4 2025-09-07T10:53:10.6634153Z triton_mm_90 0.0169 ms 75.9% 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 2025-09-07T10:53:10.6634774Z addmm 0.0170 ms 75.7% 2025-09-07T10:53:10.6635345Z triton_mm_86 0.0174 ms 73.7% 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 2025-09-07T10:53:10.6636756Z SingleProcess AUTOTUNE benchmarking takes 0.5401 seconds and 2.7952 seconds precompiling for 21 choices 2025-09-07T10:53:11.1403696Z Autotune Choices Stats: 2025-09-07T10:53:11.1405391Z {"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": 0.009088000282645226, "best_triton_pos": 0} 2025-09-07T10:53:11.1431883Z AUTOTUNE mm(256x1024, 1024x1024) 2025-09-07T10:53:11.1432166Z strides: [1024, 1], [1, 1024] 2025-09-07T10:53:11.1432418Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:11.1433056Z triton_mm_4 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 2025-09-07T10:53:11.1433687Z mm 0.0093 ms 97.6% 2025-09-07T10:53:11.1434241Z triton_mm_8 0.0094 ms 96.9% 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 2025-09-07T10:53:11.1435210Z triton_mm_12 0.0107 ms 85.3% 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 2025-09-07T10:53:11.1436177Z triton_mm_3 0.0122 ms 74.5% 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 2025-09-07T10:53:11.1437139Z triton_mm_7 0.0124 ms 73.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:53:11.1438404Z triton_mm_18 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 2025-09-07T10:53:11.1439299Z triton_mm_2 0.0128 ms 71.2% 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 2025-09-07T10:53:11.1440175Z triton_mm_11 0.0130 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 2025-09-07T10:53:11.1441058Z triton_mm_1 0.0134 ms 67.9% 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 2025-09-07T10:53:11.1441844Z SingleProcess AUTOTUNE benchmarking takes 0.2332 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:53:12.5294850Z Autotune Choices Stats: 2025-09-07T10:53:12.5295910Z {"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": 0.009727999567985535, "best_triton_pos": 0} 2025-09-07T10:53:12.5323839Z AUTOTUNE addmm(256x1024, 256x1024, 1024x1024) 2025-09-07T10:53:12.5324174Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:53:12.5324497Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:53:12.5325219Z triton_mm_23 0.0097 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 2025-09-07T10:53:12.5326208Z triton_mm_27 0.0101 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 2025-09-07T10:53:12.5326845Z bias_addmm 0.0104 ms 93.5% 2025-09-07T10:53:12.5327670Z triton_mm_31 0.0114 ms 85.4% 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 2025-09-07T10:53:12.5329218Z triton_mm_22 0.0128 ms 76.0% 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 2025-09-07T10:53:12.5330252Z triton_mm_26 0.0130 ms 74.9% 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 2025-09-07T10:53:12.5331074Z triton_mm_21 0.0133 ms 73.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:12.5331899Z triton_mm_37 0.0137 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 2025-09-07T10:53:12.5332725Z triton_mm_30 0.0138 ms 70.7% 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 2025-09-07T10:53:12.5333551Z triton_mm_20 0.0139 ms 69.9% 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 2025-09-07T10:53:12.5334287Z SingleProcess AUTOTUNE benchmarking takes 0.2651 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:53:12.8429443Z Autotune Choices Stats: 2025-09-07T10:53:12.8430734Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.015647999942302704, "best_triton_pos": 1, "best_triton_time": 0.01696000061929226, "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"} 2025-09-07T10:53:12.8458956Z AUTOTUNE addmm(256x1024, 256x4096, 4096x1024) 2025-09-07T10:53:12.8459274Z strides: [0, 1], [4096, 1], [1, 4096] 2025-09-07T10:53:12.8459589Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:53:12.8459908Z bias_addmm 0.0156 ms 100.0% 2025-09-07T10:53:12.8460535Z triton_mm_99 0.0170 ms 92.3% 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 2025-09-07T10:53:12.8461549Z triton_mm_103 0.0174 ms 89.7% 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 2025-09-07T10:53:12.8462158Z addmm 0.0189 ms 82.6% 2025-09-07T10:53:12.8462754Z triton_mm_107 0.0213 ms 73.4% 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 2025-09-07T10:53:12.8463726Z triton_mm_113 0.0284 ms 55.1% 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 2025-09-07T10:53:12.8464700Z triton_mm_98 0.0311 ms 50.3% 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 2025-09-07T10:53:12.8465638Z triton_mm_97 0.0324 ms 48.2% 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 2025-09-07T10:53:12.8466592Z triton_mm_102 0.0334 ms 46.8% 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 2025-09-07T10:53:12.8468192Z triton_mm_106 0.0340 ms 46.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:12.8469063Z SingleProcess AUTOTUNE benchmarking takes 0.3110 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:53:18.0571835Z Autotune Choices Stats: 2025-09-07T10:53:18.0572918Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_131", "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": 0.06883200258016586, "best_triton_pos": 0} 2025-09-07T10:53:18.0602349Z AUTOTUNE mm(256x1024, 1024x50265) 2025-09-07T10:53:18.0603429Z strides: [1024, 1], [1, 1024] 2025-09-07T10:53:18.0603732Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:18.0604411Z triton_mm_131 0.0688 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 2025-09-07T10:53:18.0605416Z triton_mm_125 0.0786 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:18.0606427Z triton_mm_132 0.0789 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=5, num_warps=8 2025-09-07T10:53:18.0607838Z triton_mm_130 0.0851 ms 80.9% 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 2025-09-07T10:53:18.0608840Z triton_mm_126 0.0887 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 2025-09-07T10:53:18.0609803Z triton_mm_123 0.0979 ms 70.3% 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 2025-09-07T10:53:18.0610654Z triton_mm_124 0.0982 ms 70.1% 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 2025-09-07T10:53:18.0611492Z triton_mm_121 0.0993 ms 69.3% 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 2025-09-07T10:53:18.0612335Z triton_mm_128 0.0998 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=4, num_warps=8 2025-09-07T10:53:18.0613182Z triton_mm_127 0.1028 ms 67.0% 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 2025-09-07T10:53:18.0613930Z SingleProcess AUTOTUNE benchmarking takes 0.4656 seconds and 2.4454 seconds precompiling for 20 choices 2025-09-07T10:53:23.1658608Z Autotune Choices Stats: 2025-09-07T10:53:23.1659930Z {"num_choices": 25, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.06579200178384781, "best_triton_pos": 3, "best_triton_time": 0.11667200177907944, "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"} 2025-09-07T10:53:23.1697999Z AUTOTUNE mm(256x50272, 50272x1024) 2025-09-07T10:53:23.1698283Z strides: [50304, 1], [1024, 1] 2025-09-07T10:53:23.1698545Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:23.1698815Z mm 0.0658 ms 100.0% 2025-09-07T10:53:23.1699096Z decompose_k_mm_4_split_1 0.0767 ms 85.8% k_split=4 2025-09-07T10:53:23.1699428Z decompose_k_mm_2_split_0 0.0915 ms 71.9% k_split=2 2025-09-07T10:53:23.1700130Z triton_mm_156 0.1167 ms 56.4% 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 2025-09-07T10:53:23.1701313Z triton_mm_160 0.1601 ms 41.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:53:23.1703003Z triton_mm_164 0.1853 ms 35.5% 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 2025-09-07T10:53:23.1703978Z triton_mm_155 0.2831 ms 23.2% 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 2025-09-07T10:53:23.1704861Z decompose_k_mm_16_split_3 0.2843 ms 23.1% k_split=16 2025-09-07T10:53:23.1705511Z triton_mm_154 0.2855 ms 23.0% 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 2025-09-07T10:53:23.1706473Z triton_mm_170 0.2920 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=5, num_warps=8 2025-09-07T10:53:23.1707705Z SingleProcess AUTOTUNE benchmarking takes 1.3871 seconds and 0.4230 seconds precompiling for 25 choices 2025-09-07T10:53:23.6609675Z Autotune Choices Stats: 2025-09-07T10:53:23.6610971Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.058111999183893204, "best_triton_pos": 1, "best_triton_time": 0.08035200089216232, "best_triton_kernel": "triton_mm_150", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:53:23.6640109Z AUTOTUNE mm(50272x256, 256x1024) 2025-09-07T10:53:23.6640399Z strides: [256, 1], [1024, 1] 2025-09-07T10:53:23.6640671Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:23.6640947Z mm 0.0581 ms 100.0% 2025-09-07T10:53:23.6641546Z triton_mm_150 0.0804 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=3, num_warps=4 2025-09-07T10:53:23.6642569Z triton_mm_149 0.0843 ms 68.9% 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 2025-09-07T10:53:23.6643537Z triton_mm_142 0.0865 ms 67.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:23.6644518Z triton_mm_144 0.0893 ms 65.1% 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 2025-09-07T10:53:23.6645469Z triton_mm_143 0.0909 ms 63.9% 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 2025-09-07T10:53:23.6646422Z triton_mm_146 0.0913 ms 63.7% 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 2025-09-07T10:53:23.6647816Z triton_mm_147 0.0922 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 2025-09-07T10:53:23.6648778Z triton_mm_151 0.0923 ms 63.0% 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 2025-09-07T10:53:23.6649737Z triton_mm_148 0.1034 ms 56.2% 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 2025-09-07T10:53:23.6650579Z SingleProcess AUTOTUNE benchmarking takes 0.4578 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:53:26.5949210Z Autotune Choices Stats: 2025-09-07T10:53:26.5951040Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011839999817311764, "best_triton_pos": 1, "best_triton_time": 0.011839999817311764, "best_triton_kernel": "triton_mm_207", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:53:26.5953488Z AUTOTUNE mm(1024x256, 256x4096) 2025-09-07T10:53:26.5953823Z strides: [1, 1024], [4096, 1] 2025-09-07T10:53:26.5954173Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:26.5954539Z mm 0.0118 ms 100.0% 2025-09-07T10:53:26.5955639Z triton_mm_207 0.0118 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 2025-09-07T10:53:26.5957043Z triton_mm_206 0.0120 ms 98.9% 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 2025-09-07T10:53:26.5959009Z triton_mm_199 0.0121 ms 97.6% 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 2025-09-07T10:53:26.5960368Z triton_mm_200 0.0122 ms 97.4% 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 2025-09-07T10:53:26.5961726Z triton_mm_204 0.0122 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=4, num_warps=8 2025-09-07T10:53:26.5963082Z triton_mm_203 0.0123 ms 96.1% 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 2025-09-07T10:53:26.5964430Z triton_mm_196 0.0137 ms 86.7% 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=2, num_warps=4 2025-09-07T10:53:26.5965776Z triton_mm_201 0.0138 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 2025-09-07T10:53:26.5967145Z triton_mm_205 0.0138 ms 85.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:53:26.5968558Z SingleProcess AUTOTUNE benchmarking takes 0.2294 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T10:53:26.8293948Z Autotune Choices Stats: 2025-09-07T10:53:26.8295932Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011744000017642975, "best_triton_pos": 1, "best_triton_time": 0.011744000017642975, "best_triton_kernel": "triton_mm_245", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:53:26.8328076Z AUTOTUNE mm(4096x256, 256x1024) 2025-09-07T10:53:26.8328494Z strides: [1, 4096], [1024, 1] 2025-09-07T10:53:26.8328763Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:26.8329032Z mm 0.0117 ms 100.0% 2025-09-07T10:53:26.8329643Z triton_mm_245 0.0117 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 2025-09-07T10:53:26.8330670Z triton_mm_237 0.0119 ms 98.9% 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 2025-09-07T10:53:26.8331648Z triton_mm_244 0.0120 ms 98.1% 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 2025-09-07T10:53:26.8332632Z triton_mm_238 0.0122 ms 96.6% 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 2025-09-07T10:53:26.8333979Z triton_mm_241 0.0122 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 2025-09-07T10:53:26.8335075Z triton_mm_242 0.0123 ms 95.3% 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 2025-09-07T10:53:26.8336318Z triton_mm_239 0.0133 ms 88.0% 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 2025-09-07T10:53:26.8337461Z triton_mm_234 0.0135 ms 87.2% 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 2025-09-07T10:53:26.8338433Z triton_mm_243 0.0138 ms 85.2% 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 2025-09-07T10:53:26.8339294Z SingleProcess AUTOTUNE benchmarking takes 0.2180 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:53:27.2785977Z Autotune Choices Stats: 2025-09-07T10:53:27.2787041Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_277", "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": 0.008352000266313553, "best_triton_pos": 0} 2025-09-07T10:53:27.2821005Z AUTOTUNE mm(1024x256, 256x1024) 2025-09-07T10:53:27.2821287Z strides: [1, 1024], [1024, 1] 2025-09-07T10:53:27.2821571Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:27.2822345Z triton_mm_277 0.0084 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 2025-09-07T10:53:27.2823348Z triton_mm_278 0.0084 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 2025-09-07T10:53:27.2823983Z mm 0.0084 ms 99.6% 2025-09-07T10:53:27.2824543Z triton_mm_273 0.0086 ms 97.0% 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 2025-09-07T10:53:27.2825505Z triton_mm_280 0.0086 ms 97.0% 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 2025-09-07T10:53:27.2826464Z triton_mm_276 0.0087 ms 96.3% 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 2025-09-07T10:53:27.2827570Z triton_mm_275 0.0091 ms 91.9% 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 2025-09-07T10:53:27.2828548Z triton_mm_283 0.0091 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=3, num_warps=4 2025-09-07T10:53:27.2829513Z triton_mm_284 0.0092 ms 90.9% 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 2025-09-07T10:53:27.2830476Z triton_mm_279 0.0093 ms 89.7% 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 2025-09-07T10:53:27.2831319Z SingleProcess AUTOTUNE benchmarking takes 0.1973 seconds and 0.2319 seconds precompiling for 20 choices 2025-09-07T10:53:27.5679905Z Autotune Choices Stats: 2025-09-07T10:53:27.5681220Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.012415999546647072, "best_triton_pos": 1, "best_triton_time": 0.012736000120639801, "best_triton_kernel": "triton_mm_183", "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"} 2025-09-07T10:53:27.5715153Z AUTOTUNE mm(256x1024, 1024x4096) 2025-09-07T10:53:27.5715439Z strides: [1024, 1], [4096, 1] 2025-09-07T10:53:27.5715707Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:27.5715975Z mm 0.0124 ms 100.0% 2025-09-07T10:53:27.5717024Z triton_mm_183 0.0127 ms 97.5% 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 2025-09-07T10:53:27.5718445Z triton_mm_189 0.0137 ms 90.9% 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 2025-09-07T10:53:27.5719427Z triton_mm_182 0.0144 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 2025-09-07T10:53:27.5720398Z triton_mm_178 0.0146 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 2025-09-07T10:53:27.5721338Z triton_mm_179 0.0148 ms 84.0% 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 2025-09-07T10:53:27.5722415Z triton_mm_188 0.0156 ms 79.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:27.5723312Z triton_mm_181 0.0158 ms 78.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:27.5724209Z triton_mm_185 0.0159 ms 78.2% 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 2025-09-07T10:53:27.5725107Z triton_mm_180 0.0185 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 2025-09-07T10:53:27.5725900Z SingleProcess AUTOTUNE benchmarking takes 0.2215 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:53:28.0640262Z Autotune Choices Stats: 2025-09-07T10:53:28.0641347Z {"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": 0.009119999594986439, "best_triton_pos": 0} 2025-09-07T10:53:28.0673869Z AUTOTUNE mm(256x1024, 1024x1024) 2025-09-07T10:53:28.0674217Z strides: [1024, 1], [1024, 1] 2025-09-07T10:53:28.0674491Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:28.0675203Z triton_mm_365 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 2025-09-07T10:53:28.0676199Z triton_mm_369 0.0096 ms 95.3% 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 2025-09-07T10:53:28.0676813Z mm 0.0096 ms 95.0% 2025-09-07T10:53:28.0677623Z triton_mm_373 0.0105 ms 86.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:53:28.0678633Z triton_mm_364 0.0122 ms 75.0% 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 2025-09-07T10:53:28.0679598Z triton_mm_368 0.0122 ms 75.0% 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 2025-09-07T10:53:28.0681223Z triton_mm_363 0.0124 ms 73.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:28.0682256Z triton_mm_372 0.0126 ms 72.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:28.0683342Z triton_mm_379 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 2025-09-07T10:53:28.0684199Z triton_mm_371 0.0138 ms 66.3% 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 2025-09-07T10:53:28.0684952Z SingleProcess AUTOTUNE benchmarking takes 0.2041 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:53:29.6882411Z Autotune Choices Stats: 2025-09-07T10:53:29.6883689Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.014208000153303146, "best_triton_pos": 1, "best_triton_time": 0.01571200042963028, "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"} 2025-09-07T10:53:29.6915504Z AUTOTUNE mm(256x4096, 4096x1024) 2025-09-07T10:53:29.6915780Z strides: [4096, 1], [1024, 1] 2025-09-07T10:53:29.6916040Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:29.6916309Z mm 0.0142 ms 100.0% 2025-09-07T10:53:29.6916920Z triton_mm_213 0.0157 ms 90.4% 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 2025-09-07T10:53:29.6918328Z triton_mm_217 0.0162 ms 87.9% 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 2025-09-07T10:53:29.6919340Z triton_mm_221 0.0199 ms 71.3% 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 2025-09-07T10:53:29.6920323Z triton_mm_227 0.0288 ms 49.4% 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 2025-09-07T10:53:29.6921286Z triton_mm_212 0.0299 ms 47.5% 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 2025-09-07T10:53:29.6922234Z triton_mm_211 0.0303 ms 46.9% 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 2025-09-07T10:53:29.6923258Z triton_mm_220 0.0312 ms 45.5% 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 2025-09-07T10:53:29.6924095Z triton_mm_216 0.0318 ms 44.7% 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 2025-09-07T10:53:29.6924939Z triton_mm_226 0.0348 ms 40.8% 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 2025-09-07T10:53:29.6925683Z SingleProcess AUTOTUNE benchmarking takes 0.2696 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:53:30.9453242Z 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/trocr/modeling_trocr.py", line 64, in forward 2025-09-07T10:53:30.9454317Z return super().forward(position_ids + self.offset) 2025-09-07T10:53:30.9455182Z 2025-09-07T10:53:30.9455188Z 2025-09-07T10:53:31.1763302Z 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/trocr/modeling_trocr.py", line 78, in forward 2025-09-07T10:53:31.1764373Z return super().forward(input_ids) * self.embed_scale 2025-09-07T10:53:31.1764613Z 2025-09-07T10:53:31.1764618Z 2025-09-07T10:53:31.8430869Z pass 2025-09-07T10:53:35.5816134Z /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. 2025-09-07T10:53:35.5817835Z import pynvml # type: ignore[import] 2025-09-07T10:53:38.6612676Z /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. 2025-09-07T10:53:38.6614012Z from pkg_resources import resource_filename 2025-09-07T10:53:39.2673623Z 2025-09-07T10:53:47.5529188Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:53:47.5529543Z loading model: 0it [00:08, ?it/s] 2025-09-07T10:53:47.5529877Z cuda train XGLMForCausalLM 2025-09-07T10:53:47.5870581Z WARNING:common:fp64 golden ref were not generated for XGLMForCausalLM. Setting accuracy check to cosine 2025-09-07T10:53:51.4031658Z skipping cudagraphs due to mutated inputs (1 instances). Found from : 2025-09-07T10:53:51.4032381Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xglm/modeling_xglm.py", line 94, in forward 2025-09-07T10:53:51.4032919Z position_ids += self.offset 2025-09-07T10:53:51.4033110Z 2025-09-07T10:53:55.1509011Z Autotune Choices Stats: 2025-09-07T10:53:55.1510074Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_58", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.0066559999249875546, "best_triton_pos": 0} 2025-09-07T10:53:55.1541750Z AUTOTUNE bmm(16x128x64, 16x64x128) 2025-09-07T10:53:55.1542054Z strides: [64, 1024, 1], [64, 1, 1024] 2025-09-07T10:53:55.1542336Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:55.1542979Z triton_bmm_58 0.0067 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:53:55.1543966Z triton_bmm_65 0.0067 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:53:55.1544958Z triton_bmm_60 0.0068 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:55.1545920Z triton_bmm_64 0.0068 ms 97.2% 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 2025-09-07T10:53:55.1546892Z triton_bmm_59 0.0069 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:55.1548185Z triton_bmm_68 0.0070 ms 95.0% 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 2025-09-07T10:53:55.1549163Z triton_bmm_69 0.0070 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=4, num_warps=4 2025-09-07T10:53:55.1550825Z triton_bmm_67 0.0071 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=4, num_warps=8 2025-09-07T10:53:55.1551764Z triton_bmm_63 0.0071 ms 93.7% 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=2, num_warps=4 2025-09-07T10:53:55.1552810Z triton_bmm_61 0.0072 ms 92.9% 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 2025-09-07T10:53:55.1553565Z SingleProcess AUTOTUNE benchmarking takes 0.2355 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:53:55.3722135Z Autotune Choices Stats: 2025-09-07T10:53:55.3723190Z {"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": 0.007040000054985285, "best_triton_pos": 0} 2025-09-07T10:53:55.3754090Z AUTOTUNE bmm(16x128x128, 16x128x64) 2025-09-07T10:53:55.3754390Z strides: [16384, 128, 1], [64, 1024, 1] 2025-09-07T10:53:55.3754675Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:55.3755339Z triton_bmm_87 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=4 2025-09-07T10:53:55.3756321Z triton_bmm_77 0.0072 ms 97.8% 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 2025-09-07T10:53:55.3757699Z triton_bmm_78 0.0074 ms 95.7% 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 2025-09-07T10:53:55.3758649Z triton_bmm_83 0.0074 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 2025-09-07T10:53:55.3759586Z triton_bmm_79 0.0074 ms 95.2% 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 2025-09-07T10:53:55.3760182Z bmm 0.0075 ms 94.0% 2025-09-07T10:53:55.3760798Z triton_bmm_92 0.0075 ms 93.6% 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=3, num_warps=4 2025-09-07T10:53:55.3761725Z triton_bmm_86 0.0076 ms 93.2% 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=4, num_warps=8 2025-09-07T10:53:55.3762550Z triton_bmm_85 0.0076 ms 92.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:55.3763398Z triton_bmm_93 0.0077 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:55.3764136Z SingleProcess AUTOTUNE benchmarking takes 0.2208 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:53:59.5863939Z Autotune Choices Stats: 2025-09-07T10:53:59.5865471Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_169", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.21350400149822235, "best_triton_pos": 0} 2025-09-07T10:53:59.5898873Z AUTOTUNE mm(128x1024, 1024x256008) 2025-09-07T10:53:59.5899259Z strides: [1024, 1], [1, 1024] 2025-09-07T10:53:59.5899634Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:59.5900593Z triton_mm_169 0.2135 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:59.5902828Z triton_mm_168 0.2171 ms 98.3% 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 2025-09-07T10:53:59.5903722Z mm 0.2236 ms 95.5% 2025-09-07T10:53:59.5904828Z triton_mm_162 0.2264 ms 94.3% 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 2025-09-07T10:53:59.5906305Z triton_mm_163 0.2386 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:53:59.5907916Z triton_mm_158 0.2486 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 2025-09-07T10:53:59.5909341Z triton_mm_167 0.2656 ms 80.4% 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 2025-09-07T10:53:59.5910771Z triton_mm_159 0.2831 ms 75.4% 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 2025-09-07T10:53:59.5912209Z triton_mm_165 0.2872 ms 74.3% 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 2025-09-07T10:53:59.5913629Z triton_mm_164 0.2915 ms 73.3% 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 2025-09-07T10:53:59.5914869Z SingleProcess AUTOTUNE benchmarking takes 0.6912 seconds and 1.8850 seconds precompiling for 20 choices 2025-09-07T10:54:02.1477726Z Autotune Choices Stats: 2025-09-07T10:54:02.1479060Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.22700800001621246, "best_triton_pos": 1, "best_triton_time": 0.28886398673057556, "best_triton_kernel": "triton_mm_179", "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"} 2025-09-07T10:54:02.1512507Z AUTOTUNE mm(256008x128, 128x1024) 2025-09-07T10:54:02.1512904Z strides: [1, 256064], [1024, 1] 2025-09-07T10:54:02.1513220Z dtypes: torch.float16, torch.float16 2025-09-07T10:54:02.1513544Z mm 0.2270 ms 100.0% 2025-09-07T10:54:02.1514233Z triton_mm_179 0.2889 ms 78.6% 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 2025-09-07T10:54:02.1515230Z triton_mm_186 0.2934 ms 77.4% 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 2025-09-07T10:54:02.1516242Z triton_mm_183 0.3006 ms 75.5% 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 2025-09-07T10:54:02.1517216Z triton_mm_187 0.3007 ms 75.5% 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 2025-09-07T10:54:02.1518418Z triton_mm_184 0.3019 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 2025-09-07T10:54:02.1519371Z triton_mm_180 0.3180 ms 71.4% 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 2025-09-07T10:54:02.1520332Z triton_mm_181 0.3306 ms 68.7% 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 2025-09-07T10:54:02.1522012Z triton_mm_182 0.3325 ms 68.3% 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 2025-09-07T10:54:02.1523284Z triton_mm_185 0.3358 ms 67.6% 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 2025-09-07T10:54:02.1524034Z SingleProcess AUTOTUNE benchmarking takes 0.7150 seconds and 0.1297 seconds precompiling for 20 choices 2025-09-07T10:54:04.2096196Z Autotune Choices Stats: 2025-09-07T10:54:04.2098292Z {"num_choices": 27, "num_triton_choices": 19, "best_kernel": "decompose_k_mm_3_split_1", "best_kernel_desc": "k_split=3", "best_time": 0.20876799523830414, "best_triton_pos": 2, "best_triton_time": 0.5004479885101318, "best_triton_kernel": "triton_mm_193", "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"} 2025-09-07T10:54:04.2145870Z AUTOTUNE mm(128x256008, 256008x1024) 2025-09-07T10:54:04.2146167Z strides: [256064, 1], [1024, 1] 2025-09-07T10:54:04.2146419Z dtypes: torch.float16, torch.float16 2025-09-07T10:54:04.2146726Z decompose_k_mm_3_split_1 0.2088 ms 100.0% k_split=3 2025-09-07T10:54:04.2147028Z mm 0.2294 ms 91.0% 2025-09-07T10:54:04.2147785Z triton_mm_193 0.5004 ms 41.7% 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 2025-09-07T10:54:04.2148459Z decompose_k_mm_12_split_5 0.5455 ms 38.3% k_split=12 2025-09-07T10:54:04.2148800Z decompose_k_mm_4_split_2 0.6196 ms 33.7% k_split=4 2025-09-07T10:54:04.2149124Z decompose_k_mm_6_split_3 0.7055 ms 29.6% k_split=6 2025-09-07T10:54:04.2149784Z triton_mm_197 0.7360 ms 28.4% 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 2025-09-07T10:54:04.2150458Z decompose_k_mm_24_split_6 0.7902 ms 26.4% k_split=24 2025-09-07T10:54:04.2151114Z triton_mm_201 0.9010 ms 23.2% 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 2025-09-07T10:54:04.2151772Z decompose_k_mm_8_split_4 1.1753 ms 17.8% k_split=8 2025-09-07T10:54:04.2152324Z SingleProcess AUTOTUNE benchmarking takes 1.7879 seconds and 0.0002 seconds precompiling for 27 choices 2025-09-07T10:54:07.5900136Z Autotune Choices Stats: 2025-09-07T10:54:07.5901214Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_462", "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": 0.00774399982765317, "best_triton_pos": 0} 2025-09-07T10:54:07.5936655Z AUTOTUNE mm(1024x128, 128x1024) 2025-09-07T10:54:07.5936941Z strides: [128, 1], [1024, 1] 2025-09-07T10:54:07.5937213Z dtypes: torch.float16, torch.float16 2025-09-07T10:54:07.5938076Z triton_mm_462 0.0077 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 2025-09-07T10:54:07.5939108Z triton_mm_459 0.0078 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 2025-09-07T10:54:07.5940101Z triton_mm_465 0.0078 ms 99.2% 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 2025-09-07T10:54:07.5941052Z triton_mm_458 0.0080 ms 97.2% 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 2025-09-07T10:54:07.5942468Z triton_mm_460 0.0080 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:07.5943460Z triton_mm_461 0.0080 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:54:07.5944802Z triton_mm_463 0.0080 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 2025-09-07T10:54:07.5945792Z triton_mm_464 0.0080 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:07.5946768Z triton_mm_467 0.0082 ms 94.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:07.5947937Z triton_mm_468 0.0082 ms 94.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:07.5948820Z SingleProcess AUTOTUNE benchmarking takes 0.1911 seconds and 0.2478 seconds precompiling for 20 choices 2025-09-07T10:54:08.1725158Z Autotune Choices Stats: 2025-09-07T10:54:08.1726240Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_333", "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": 0.00684799998998642, "best_triton_pos": 0} 2025-09-07T10:54:08.1764824Z AUTOTUNE bmm(16x128x128, 16x128x64) 2025-09-07T10:54:08.1765158Z strides: [16384, 1, 128], [64, 1024, 1] 2025-09-07T10:54:08.1765477Z dtypes: torch.float16, torch.float16 2025-09-07T10:54:08.1766159Z triton_bmm_333 0.0068 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:08.1767171Z triton_bmm_325 0.0070 ms 98.2% 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 2025-09-07T10:54:08.1768367Z triton_bmm_329 0.0070 ms 98.2% 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 2025-09-07T10:54:08.1769361Z triton_bmm_324 0.0071 ms 96.8% 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 2025-09-07T10:54:08.1770336Z triton_bmm_332 0.0072 ms 94.7% 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 2025-09-07T10:54:08.1771310Z triton_bmm_331 0.0073 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 2025-09-07T10:54:08.1771908Z bmm 0.0073 ms 93.4% 2025-09-07T10:54:08.1772491Z triton_bmm_338 0.0073 ms 93.4% 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 2025-09-07T10:54:08.1773509Z triton_bmm_339 0.0074 ms 92.6% 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 2025-09-07T10:54:08.1774485Z triton_bmm_336 0.0074 ms 92.2% 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 2025-09-07T10:54:08.1775385Z SingleProcess AUTOTUNE benchmarking takes 0.1787 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:54:08.3531400Z Autotune Choices Stats: 2025-09-07T10:54:08.3532477Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_362", "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": 0.006943999789655209, "best_triton_pos": 0} 2025-09-07T10:54:08.3569873Z AUTOTUNE bmm(16x64x128, 16x128x128) 2025-09-07T10:54:08.3570785Z strides: [64, 1, 1024], [16384, 128, 1] 2025-09-07T10:54:08.3571087Z dtypes: torch.float16, torch.float16 2025-09-07T10:54:08.3571770Z triton_bmm_362 0.0069 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:54:08.3572762Z triton_bmm_366 0.0070 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 2025-09-07T10:54:08.3573718Z triton_bmm_361 0.0071 ms 97.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:54:08.3574708Z triton_bmm_370 0.0073 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 2025-09-07T10:54:08.3575772Z triton_bmm_373 0.0073 ms 95.6% 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 2025-09-07T10:54:08.3576606Z triton_bmm_372 0.0073 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:08.3577129Z bmm 0.0073 ms 94.8% 2025-09-07T10:54:08.3577804Z triton_bmm_367 0.0074 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:54:08.3578653Z triton_bmm_375 0.0074 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:54:08.3579491Z triton_bmm_369 0.0076 ms 91.9% 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 2025-09-07T10:54:08.3580239Z SingleProcess AUTOTUNE benchmarking takes 0.1774 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:54:08.5574097Z Autotune Choices Stats: 2025-09-07T10:54:08.5575245Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_436", "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": 0.008832000195980072, "best_triton_pos": 0} 2025-09-07T10:54:08.5609646Z AUTOTUNE mm(128x1024, 1024x1024) 2025-09-07T10:54:08.5609923Z strides: [1, 128], [1024, 1] 2025-09-07T10:54:08.5610186Z dtypes: torch.float16, torch.float16 2025-09-07T10:54:08.5610847Z triton_mm_436 0.0088 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 2025-09-07T10:54:08.5611500Z mm 0.0090 ms 98.6% 2025-09-07T10:54:08.5612100Z triton_mm_440 0.0093 ms 95.2% 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 2025-09-07T10:54:08.5613075Z triton_mm_444 0.0105 ms 84.1% 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 2025-09-07T10:54:08.5614059Z triton_mm_435 0.0115 ms 76.7% 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 2025-09-07T10:54:08.5615666Z triton_mm_434 0.0120 ms 73.8% 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 2025-09-07T10:54:08.5616502Z triton_mm_439 0.0121 ms 72.8% 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 2025-09-07T10:54:08.5618121Z triton_mm_450 0.0121 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=5, num_warps=8 2025-09-07T10:54:08.5619000Z triton_mm_443 0.0128 ms 69.2% 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 2025-09-07T10:54:08.5619841Z triton_mm_442 0.0133 ms 66.3% 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 2025-09-07T10:54:08.5620586Z SingleProcess AUTOTUNE benchmarking takes 0.2034 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:54:09.5379658Z 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/xglm/modeling_xglm.py", line 49, in forward 2025-09-07T10:54:09.5380798Z return super().forward(input_ids) * self.embed_scale 2025-09-07T10:54:09.5381041Z 2025-09-07T10:54:09.5381046Z 2025-09-07T10:54:11.4322372Z pass 2025-09-07T10:54:15.2653626Z /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. 2025-09-07T10:54:15.2654950Z import pynvml # type: ignore[import] 2025-09-07T10:54:18.3435211Z /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. 2025-09-07T10:54:18.3436545Z from pkg_resources import resource_filename 2025-09-07T10:54:18.9437112Z 2025-09-07T10:54:23.3364807Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:54:23.3365180Z loading model: 0it [00:04, ?it/s] 2025-09-07T10:54:23.3365476Z cuda train XLNetLMHeadModel 2025-09-07T10:55:12.7214072Z Autotune Choices Stats: 2025-09-07T10:55:12.7215510Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.014208000153303146, "best_triton_pos": 1, "best_triton_time": 0.014816000126302242, "best_triton_kernel": "triton_mm_169", "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"} 2025-09-07T10:55:12.7254674Z AUTOTUNE addmm(512x4096, 512x1024, 1024x4096) 2025-09-07T10:55:12.7255094Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:55:12.7255378Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:55:12.7255658Z bias_addmm 0.0142 ms 100.0% 2025-09-07T10:55:12.7256234Z triton_mm_169 0.0148 ms 95.9% 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 2025-09-07T10:55:12.7257100Z triton_mm_162 0.0162 ms 87.9% 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 2025-09-07T10:55:12.7258134Z triton_mm_168 0.0167 ms 85.2% 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 2025-09-07T10:55:12.7259654Z triton_mm_158 0.0173 ms 81.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:55:12.7260502Z triton_mm_165 0.0182 ms 77.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:55:12.7261570Z triton_mm_163 0.0185 ms 76.8% 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 2025-09-07T10:55:12.7262421Z triton_mm_161 0.0186 ms 76.3% 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 2025-09-07T10:55:12.7262952Z addmm 0.0210 ms 67.6% 2025-09-07T10:55:12.7263465Z triton_mm_164 0.0213 ms 66.7% 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 2025-09-07T10:55:12.7264210Z SingleProcess AUTOTUNE benchmarking takes 0.2826 seconds and 0.0003 seconds precompiling for 21 choices 2025-09-07T10:55:13.6500650Z Autotune Choices Stats: 2025-09-07T10:55:13.6501752Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_197", "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": 0.009759999811649323, "best_triton_pos": 0} 2025-09-07T10:55:13.6538041Z AUTOTUNE mm(512x1024, 1024x1024) 2025-09-07T10:55:13.6538316Z strides: [1024, 1], [1024, 1] 2025-09-07T10:55:13.6538586Z dtypes: torch.float16, torch.float16 2025-09-07T10:55:13.6539254Z triton_mm_197 0.0098 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 2025-09-07T10:55:13.6540263Z triton_mm_201 0.0107 ms 91.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:55:13.6541263Z triton_mm_196 0.0124 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 2025-09-07T10:55:13.6542238Z triton_mm_207 0.0127 ms 76.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:55:13.6543204Z triton_mm_200 0.0128 ms 76.4% 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 2025-09-07T10:55:13.6544166Z triton_mm_193 0.0130 ms 75.1% 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 2025-09-07T10:55:13.6545268Z triton_mm_199 0.0137 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=4, num_warps=8 2025-09-07T10:55:13.6546300Z triton_mm_203 0.0141 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=4, num_warps=8 2025-09-07T10:55:13.6547456Z triton_mm_206 0.0143 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=3, num_warps=4 2025-09-07T10:55:13.6548434Z triton_mm_192 0.0144 ms 67.6% 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 2025-09-07T10:55:13.6549288Z SingleProcess AUTOTUNE benchmarking takes 0.2411 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:55:15.3304571Z Autotune Choices Stats: 2025-09-07T10:55:15.3306049Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010912000201642513, "best_triton_pos": 1, "best_triton_time": 0.01152000017464161, "best_triton_kernel": "triton_mm_69", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T10:55:15.3344232Z AUTOTUNE mm(1024x1024, 1024x1024) 2025-09-07T10:55:15.3344524Z strides: [1024, 1], [1024, 1] 2025-09-07T10:55:15.3344783Z dtypes: torch.float16, torch.float16 2025-09-07T10:55:15.3345051Z mm 0.0109 ms 100.0% 2025-09-07T10:55:15.3345780Z triton_mm_69 0.0115 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:55:15.3346803Z triton_mm_75 0.0132 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=5, num_warps=8 2025-09-07T10:55:15.3347966Z triton_mm_68 0.0133 ms 82.0% 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 2025-09-07T10:55:15.3348920Z triton_mm_64 0.0135 ms 81.0% 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 2025-09-07T10:55:15.3349880Z triton_mm_65 0.0143 ms 76.5% 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 2025-09-07T10:55:15.3350833Z triton_mm_67 0.0147 ms 74.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:55:15.3351790Z triton_mm_74 0.0148 ms 74.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:55:15.3352759Z triton_mm_71 0.0149 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 2025-09-07T10:55:15.3353715Z triton_mm_66 0.0176 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=3, num_warps=4 2025-09-07T10:55:15.3354562Z SingleProcess AUTOTUNE benchmarking takes 0.2380 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:55:15.5639386Z Autotune Choices Stats: 2025-09-07T10:55:15.5640876Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_85", "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": 0.0098879998549819, "best_triton_pos": 0} 2025-09-07T10:55:15.5677606Z AUTOTUNE bmm(16x512x64, 16x64x512) 2025-09-07T10:55:15.5678035Z strides: [64, 1024, 1], [64, 1, 1024] 2025-09-07T10:55:15.5678436Z dtypes: torch.float16, torch.float16 2025-09-07T10:55:15.5679374Z triton_bmm_85 0.0099 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 2025-09-07T10:55:15.5680815Z triton_bmm_82 0.0100 ms 98.7% 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=2, num_warps=4 2025-09-07T10:55:15.5682246Z triton_bmm_94 0.0100 ms 98.7% 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 2025-09-07T10:55:15.5683699Z triton_bmm_89 0.0100 ms 98.4% 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 2025-09-07T10:55:15.5685676Z triton_bmm_88 0.0101 ms 98.1% 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=4, num_warps=4 2025-09-07T10:55:15.5687110Z triton_bmm_90 0.0101 ms 98.1% 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 2025-09-07T10:55:15.5689040Z triton_bmm_92 0.0101 ms 97.5% 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 2025-09-07T10:55:15.5690470Z triton_bmm_93 0.0102 ms 97.2% 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 2025-09-07T10:55:15.5691888Z triton_bmm_86 0.0102 ms 96.6% 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 2025-09-07T10:55:15.5692802Z bmm 0.0104 ms 95.1% 2025-09-07T10:55:15.5693448Z SingleProcess AUTOTUNE benchmarking takes 0.2321 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:55:15.8001139Z Autotune Choices Stats: 2025-09-07T10:55:15.8003034Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "bmm", "best_time": 0.013151999562978745, "best_triton_pos": 1, "best_triton_time": 0.014399999752640724, "best_triton_kernel": "triton_bmm_104", "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"} 2025-09-07T10:55:15.8039718Z AUTOTUNE bmm(16x512x64, 16x64x1024) 2025-09-07T10:55:15.8040161Z strides: [64, 1024, 1], [64, 1, 1024] 2025-09-07T10:55:15.8040573Z dtypes: torch.float16, torch.float16 2025-09-07T10:55:15.8040972Z bmm 0.0132 ms 100.0% 2025-09-07T10:55:15.8041864Z triton_bmm_104 0.0144 ms 91.3% 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 2025-09-07T10:55:15.8043342Z triton_bmm_108 0.0146 ms 90.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:55:15.8044830Z triton_bmm_111 0.0147 ms 89.3% 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 2025-09-07T10:55:15.8046352Z triton_bmm_105 0.0148 ms 89.0% 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 2025-09-07T10:55:15.8048356Z triton_bmm_106 0.0148 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 2025-09-07T10:55:15.8049891Z triton_bmm_113 0.0148 ms 88.6% 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 2025-09-07T10:55:15.8051382Z triton_bmm_101 0.0149 ms 88.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:55:15.8052842Z triton_bmm_107 0.0150 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 2025-09-07T10:55:15.8054289Z triton_bmm_103 0.0151 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=5, num_warps=4 2025-09-07T10:55:15.8055676Z SingleProcess AUTOTUNE benchmarking takes 0.2357 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:55:16.0263994Z Autotune Choices Stats: 2025-09-07T10:55:16.0265509Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_126", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.011359999887645245, "best_triton_pos": 0} 2025-09-07T10:55:16.0302445Z AUTOTUNE bmm(16x512x512, 16x512x64) 2025-09-07T10:55:16.0302897Z strides: [262144, 512, 1], [64, 1024, 1] 2025-09-07T10:55:16.0304005Z dtypes: torch.float16, torch.float16 2025-09-07T10:55:16.0305041Z triton_bmm_126 0.0114 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:55:16.0306591Z triton_bmm_122 0.0114 ms 99.7% 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 2025-09-07T10:55:16.0308304Z triton_bmm_125 0.0119 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=4 2025-09-07T10:55:16.0309252Z bmm 0.0120 ms 94.4% 2025-09-07T10:55:16.0310140Z triton_bmm_131 0.0121 ms 94.2% 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 2025-09-07T10:55:16.0311648Z triton_bmm_121 0.0122 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:55:16.0313148Z triton_bmm_130 0.0127 ms 89.6% 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=3, num_warps=4 2025-09-07T10:55:16.0314623Z triton_bmm_124 0.0127 ms 89.4% 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 2025-09-07T10:55:16.0316111Z triton_bmm_116 0.0128 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 2025-09-07T10:55:16.0317795Z triton_bmm_115 0.0130 ms 87.7% 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 2025-09-07T10:55:16.0319109Z SingleProcess AUTOTUNE benchmarking takes 0.2251 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:55:16.3469309Z Autotune Choices Stats: 2025-09-07T10:55:16.3471235Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.016767999157309532, "best_triton_pos": 1, "best_triton_time": 0.01772800087928772, "best_triton_kernel": "triton_mm_178", "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"} 2025-09-07T10:55:16.3507925Z AUTOTUNE addmm(512x1024, 512x4096, 4096x1024) 2025-09-07T10:55:16.3508401Z strides: [0, 1], [4096, 1], [1, 4096] 2025-09-07T10:55:16.3508875Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:55:16.3509352Z bias_addmm 0.0168 ms 100.0% 2025-09-07T10:55:16.3510280Z triton_mm_178 0.0177 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 2025-09-07T10:55:16.3511233Z addmm 0.0212 ms 79.3% 2025-09-07T10:55:16.3512111Z triton_mm_182 0.0212 ms 78.9% 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 2025-09-07T10:55:16.3513593Z triton_mm_174 0.0276 ms 60.9% 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 2025-09-07T10:55:16.3515738Z triton_mm_188 0.0283 ms 59.3% 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 2025-09-07T10:55:16.3517210Z triton_mm_177 0.0343 ms 48.9% 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 2025-09-07T10:55:16.3519234Z triton_mm_181 0.0350 ms 47.9% 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 2025-09-07T10:55:16.3520724Z triton_mm_173 0.0371 ms 45.3% 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 2025-09-07T10:55:16.3522172Z triton_mm_187 0.0379 ms 44.3% 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 2025-09-07T10:55:16.3523458Z SingleProcess AUTOTUNE benchmarking takes 0.3186 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:55:17.1479408Z Autotune Choices Stats: 2025-09-07T10:55:17.1481395Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.06124800071120262, "best_triton_pos": 1, "best_triton_time": 0.070592001080513, "best_triton_kernel": "triton_mm_4553", "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"} 2025-09-07T10:55:17.1520212Z AUTOTUNE addmm(512x32000, 512x1024, 1024x32000) 2025-09-07T10:55:17.1520707Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:55:17.1521183Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:55:17.1521651Z bias_addmm 0.0612 ms 100.0% 2025-09-07T10:55:17.1522581Z triton_mm_4553 0.0706 ms 86.8% 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 2025-09-07T10:55:17.1524214Z triton_mm_4554 0.0823 ms 74.4% 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 2025-09-07T10:55:17.1525739Z triton_mm_4547 0.0866 ms 70.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:55:17.1527251Z triton_mm_4552 0.0902 ms 67.9% 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 2025-09-07T10:55:17.1528641Z addmm 0.0949 ms 64.5% 2025-09-07T10:55:17.1529541Z triton_mm_4548 0.1012 ms 60.6% 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 2025-09-07T10:55:17.1531066Z triton_mm_4546 0.1018 ms 60.2% 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 2025-09-07T10:55:17.1532549Z triton_mm_4545 0.1027 ms 59.6% 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 2025-09-07T10:55:17.1534059Z triton_mm_4550 0.1036 ms 59.1% 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 2025-09-07T10:55:17.1535444Z SingleProcess AUTOTUNE benchmarking takes 0.5015 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:55:51.0352129Z Autotune Choices Stats: 2025-09-07T10:55:51.0353433Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.06278400123119354, "best_triton_pos": 1, "best_triton_time": 0.07558400183916092, "best_triton_kernel": "triton_mm_4591", "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"} 2025-09-07T10:55:51.0392910Z AUTOTUNE mm(32000x512, 512x1024) 2025-09-07T10:55:51.0393337Z strides: [1, 32000], [1024, 1] 2025-09-07T10:55:51.0393722Z dtypes: torch.float16, torch.float16 2025-09-07T10:55:51.0394127Z mm 0.0628 ms 100.0% 2025-09-07T10:55:51.0395504Z triton_mm_4591 0.0756 ms 83.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:55:51.0397081Z triton_mm_4590 0.0788 ms 79.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:55:51.0398749Z triton_mm_4583 0.0822 ms 76.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:55:51.0400246Z triton_mm_4592 0.0837 ms 75.0% 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 2025-09-07T10:55:51.0401739Z triton_mm_4585 0.0908 ms 69.2% 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 2025-09-07T10:55:51.0403219Z triton_mm_4587 0.0910 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 2025-09-07T10:55:51.0404692Z triton_mm_4584 0.0913 ms 68.8% 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 2025-09-07T10:55:51.0406166Z triton_mm_4588 0.0964 ms 65.2% 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 2025-09-07T10:55:51.0407839Z triton_mm_4589 0.1046 ms 60.0% 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=2, num_warps=8 2025-09-07T10:55:51.0409154Z SingleProcess AUTOTUNE benchmarking takes 0.4616 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:55:51.5139704Z Autotune Choices Stats: 2025-09-07T10:55:51.5141059Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_4629", "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": 0.01414399966597557, "best_triton_pos": 0} 2025-09-07T10:55:51.5183519Z AUTOTUNE mm(1024x512, 512x4096) 2025-09-07T10:55:51.5183884Z strides: [1, 1024], [4096, 1] 2025-09-07T10:55:51.5184213Z dtypes: torch.float16, torch.float16 2025-09-07T10:55:51.5185045Z triton_mm_4629 0.0141 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 2025-09-07T10:55:51.5186268Z triton_mm_4628 0.0149 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:55:51.5188051Z triton_mm_4626 0.0150 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=4, num_warps=8 2025-09-07T10:55:51.5189052Z triton_mm_4622 0.0152 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:55:51.5190045Z triton_mm_4621 0.0152 ms 92.9% 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 2025-09-07T10:55:51.5191535Z triton_mm_4625 0.0156 ms 90.4% 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 2025-09-07T10:55:51.5192532Z triton_mm_4630 0.0164 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 2025-09-07T10:55:51.5193701Z triton_mm_4623 0.0175 ms 80.8% 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 2025-09-07T10:55:51.5194678Z triton_mm_4618 0.0191 ms 74.0% 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 2025-09-07T10:55:51.5195662Z triton_mm_4627 0.0191 ms 73.9% 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=2, num_warps=8 2025-09-07T10:55:51.5196535Z SingleProcess AUTOTUNE benchmarking takes 0.2299 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:55:51.7694018Z Autotune Choices Stats: 2025-09-07T10:55:51.7695404Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.014240000396966934, "best_triton_pos": 1, "best_triton_time": 0.014303999952971935, "best_triton_kernel": "triton_mm_4667", "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"} 2025-09-07T10:55:51.7737683Z AUTOTUNE mm(4096x512, 512x1024) 2025-09-07T10:55:51.7737994Z strides: [1, 4096], [1024, 1] 2025-09-07T10:55:51.7738267Z dtypes: torch.float16, torch.float16 2025-09-07T10:55:51.7738546Z mm 0.0142 ms 100.0% 2025-09-07T10:55:51.7739158Z triton_mm_4667 0.0143 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:55:51.7740193Z triton_mm_4666 0.0152 ms 93.5% 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 2025-09-07T10:55:51.7741193Z triton_mm_4659 0.0153 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:55:51.7742186Z triton_mm_4660 0.0153 ms 93.1% 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 2025-09-07T10:55:51.7743156Z triton_mm_4663 0.0156 ms 91.4% 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 2025-09-07T10:55:51.7744132Z triton_mm_4664 0.0157 ms 90.4% 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 2025-09-07T10:55:51.7745100Z triton_mm_4668 0.0166 ms 85.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:55:51.7746070Z triton_mm_4661 0.0179 ms 79.6% 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 2025-09-07T10:55:51.7747160Z triton_mm_4656 0.0190 ms 74.8% 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 2025-09-07T10:55:51.7748152Z SingleProcess AUTOTUNE benchmarking takes 0.2298 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:55:52.5483076Z Autotune Choices Stats: 2025-09-07T10:55:52.5485152Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.013952000066637993, "best_triton_pos": 1, "best_triton_time": 0.01408000010997057, "best_triton_kernel": "triton_mm_4611", "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"} 2025-09-07T10:55:52.5529804Z AUTOTUNE mm(512x1024, 1024x4096) 2025-09-07T10:55:52.5530282Z strides: [1024, 1], [4096, 1] 2025-09-07T10:55:52.5531149Z dtypes: torch.float16, torch.float16 2025-09-07T10:55:52.5531625Z mm 0.0140 ms 100.0% 2025-09-07T10:55:52.5532603Z triton_mm_4611 0.0141 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:55:52.5534232Z triton_mm_4604 0.0154 ms 90.5% 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 2025-09-07T10:55:52.5535993Z triton_mm_4610 0.0159 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 2025-09-07T10:55:52.5537863Z triton_mm_4600 0.0166 ms 84.2% 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 2025-09-07T10:55:52.5538874Z triton_mm_4603 0.0166 ms 84.2% 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 2025-09-07T10:55:52.5539724Z triton_mm_4607 0.0169 ms 82.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:55:52.5540572Z triton_mm_4605 0.0171 ms 81.6% 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 2025-09-07T10:55:52.5541415Z triton_mm_4602 0.0190 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 2025-09-07T10:55:52.5542260Z triton_mm_4606 0.0196 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:55:52.5543016Z SingleProcess AUTOTUNE benchmarking takes 0.2296 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:55:53.5984148Z Autotune Choices Stats: 2025-09-07T10:55:53.5985453Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010912000201642513, "best_triton_pos": 1, "best_triton_time": 0.011615999974310398, "best_triton_kernel": "triton_mm_4826", "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"} 2025-09-07T10:55:53.6026349Z AUTOTUNE mm(1024x1024, 1024x1024) 2025-09-07T10:55:53.6026668Z strides: [1, 1024], [1, 1024] 2025-09-07T10:55:53.6026935Z dtypes: torch.float16, torch.float16 2025-09-07T10:55:53.6027241Z mm 0.0109 ms 100.0% 2025-09-07T10:55:53.6028091Z triton_mm_4826 0.0116 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 2025-09-07T10:55:53.6029107Z triton_mm_4832 0.0131 ms 83.6% 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 2025-09-07T10:55:53.6030089Z triton_mm_4825 0.0138 ms 79.3% 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 2025-09-07T10:55:53.6031071Z triton_mm_4821 0.0141 ms 77.1% 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 2025-09-07T10:55:53.6032402Z triton_mm_4822 0.0144 ms 75.6% 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 2025-09-07T10:55:53.6033384Z triton_mm_4828 0.0151 ms 72.4% 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 2025-09-07T10:55:53.6034548Z triton_mm_4831 0.0152 ms 71.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:55:53.6035541Z triton_mm_4824 0.0153 ms 71.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:55:53.6036512Z triton_mm_4827 0.0181 ms 60.1% 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 2025-09-07T10:55:53.6037512Z SingleProcess AUTOTUNE benchmarking takes 0.2115 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:55:54.0980182Z Autotune Choices Stats: 2025-09-07T10:55:54.0981506Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.009151999838650227, "best_triton_pos": 1, "best_triton_time": 0.009375999681651592, "best_triton_kernel": "triton_mm_4681", "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"} 2025-09-07T10:55:54.1023394Z AUTOTUNE mm(1024x512, 512x1024) 2025-09-07T10:55:54.1023686Z strides: [1, 1024], [1024, 1] 2025-09-07T10:55:54.1023968Z dtypes: torch.float16, torch.float16 2025-09-07T10:55:54.1024234Z mm 0.0092 ms 100.0% 2025-09-07T10:55:54.1024837Z triton_mm_4681 0.0094 ms 97.6% 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 2025-09-07T10:55:54.1025830Z triton_mm_4680 0.0102 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 2025-09-07T10:55:54.1026793Z triton_mm_4676 0.0106 ms 86.7% 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 2025-09-07T10:55:54.1028200Z triton_mm_4679 0.0106 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=4, num_warps=8 2025-09-07T10:55:54.1029184Z triton_mm_4687 0.0106 ms 86.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:55:54.1030165Z triton_mm_4683 0.0108 ms 84.6% 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 2025-09-07T10:55:54.1031140Z triton_mm_4686 0.0110 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:55:54.1032129Z triton_mm_4677 0.0114 ms 80.3% 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 2025-09-07T10:55:54.1033104Z triton_mm_4678 0.0119 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=3, num_warps=4 2025-09-07T10:55:54.1033950Z SingleProcess AUTOTUNE benchmarking takes 0.1983 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:55:54.3553172Z Autotune Choices Stats: 2025-09-07T10:55:54.3555051Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.009279999881982803, "best_triton_pos": 1, "best_triton_time": 0.009344000369310379, "best_triton_kernel": "triton_mm_4883", "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"} 2025-09-07T10:55:54.3599452Z AUTOTUNE mm(1024x512, 512x1024) 2025-09-07T10:55:54.3600468Z strides: [1, 1024], [1, 512] 2025-09-07T10:55:54.3600783Z dtypes: torch.float16, torch.float16 2025-09-07T10:55:54.3601110Z mm 0.0093 ms 100.0% 2025-09-07T10:55:54.3601833Z triton_mm_4883 0.0093 ms 99.3% 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 2025-09-07T10:55:54.3603005Z triton_mm_4882 0.0102 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 2025-09-07T10:55:54.3604182Z triton_mm_4878 0.0105 ms 88.1% 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 2025-09-07T10:55:54.3605330Z triton_mm_4889 0.0107 ms 87.1% 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 2025-09-07T10:55:54.3606469Z triton_mm_4881 0.0109 ms 85.3% 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 2025-09-07T10:55:54.3608023Z triton_mm_4885 0.0110 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 2025-09-07T10:55:54.3608991Z triton_mm_4888 0.0110 ms 84.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:55:54.3609922Z triton_mm_4879 0.0115 ms 80.8% 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 2025-09-07T10:55:54.3610836Z triton_mm_4880 0.0124 ms 74.7% 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 2025-09-07T10:55:54.3611665Z SingleProcess AUTOTUNE benchmarking takes 0.1984 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:55:55.6101929Z Autotune Choices Stats: 2025-09-07T10:55:55.6103032Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_13078", "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": 0.009920000098645687, "best_triton_pos": 0} 2025-09-07T10:55:55.6149177Z AUTOTUNE mm(512x1024, 1024x1024) 2025-09-07T10:55:55.6149440Z strides: [1024, 1], [1, 1024] 2025-09-07T10:55:55.6149685Z dtypes: torch.float16, torch.float16 2025-09-07T10:55:55.6150297Z triton_mm_13078 0.0099 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 2025-09-07T10:55:55.6150892Z mm 0.0100 ms 99.4% 2025-09-07T10:55:55.6151457Z triton_mm_13082 0.0112 ms 88.8% 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 2025-09-07T10:55:55.6152379Z triton_mm_13074 0.0128 ms 77.5% 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 2025-09-07T10:55:55.6153300Z triton_mm_13088 0.0130 ms 76.2% 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 2025-09-07T10:55:55.6154650Z triton_mm_13077 0.0131 ms 76.0% 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 2025-09-07T10:55:55.6155553Z triton_mm_13081 0.0135 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 2025-09-07T10:55:55.6156677Z triton_mm_13073 0.0146 ms 68.1% 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 2025-09-07T10:55:55.6158067Z triton_mm_13087 0.0146 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=3, num_warps=4 2025-09-07T10:55:55.6159098Z triton_mm_13084 0.0150 ms 66.2% 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 2025-09-07T10:55:55.6159835Z SingleProcess AUTOTUNE benchmarking takes 0.2086 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:55:58.8993721Z Autotune Choices Stats: 2025-09-07T10:55:58.8995749Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.0613120011985302, "best_triton_pos": 1, "best_triton_time": 0.08463999629020691, "best_triton_kernel": "triton_mm_4563", "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"} 2025-09-07T10:55:58.9039357Z AUTOTUNE mm(512x32000, 32000x1024) 2025-09-07T10:55:58.9039976Z strides: [32000, 1], [1024, 1] 2025-09-07T10:55:58.9040417Z dtypes: torch.float16, torch.float16 2025-09-07T10:55:58.9040875Z mm 0.0613 ms 100.0% 2025-09-07T10:55:58.9041906Z triton_mm_4563 0.0846 ms 72.4% 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 2025-09-07T10:55:58.9043577Z triton_mm_4567 0.1068 ms 57.4% 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 2025-09-07T10:55:58.9045130Z triton_mm_4559 0.1705 ms 36.0% 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 2025-09-07T10:55:58.9046682Z triton_mm_4573 0.1763 ms 34.8% 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 2025-09-07T10:55:58.9048569Z triton_mm_4566 0.1992 ms 30.8% 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 2025-09-07T10:55:58.9050592Z triton_mm_4562 0.2021 ms 30.3% 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 2025-09-07T10:55:58.9051583Z triton_mm_4572 0.2201 ms 27.9% 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 2025-09-07T10:55:58.9052492Z triton_mm_4558 0.2397 ms 25.6% 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 2025-09-07T10:55:58.9053378Z triton_mm_4565 0.2414 ms 25.4% 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 2025-09-07T10:55:58.9054206Z SingleProcess AUTOTUNE benchmarking takes 0.6132 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:55:59.1795954Z Autotune Choices Stats: 2025-09-07T10:55:59.1798991Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.016063999384641647, "best_triton_pos": 1, "best_triton_time": 0.017184000462293625, "best_triton_kernel": "triton_mm_4639", "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"} 2025-09-07T10:55:59.1838398Z AUTOTUNE mm(512x4096, 4096x1024) 2025-09-07T10:55:59.1838838Z strides: [4096, 1], [1024, 1] 2025-09-07T10:55:59.1839685Z dtypes: torch.float16, torch.float16 2025-09-07T10:55:59.1840163Z mm 0.0161 ms 100.0% 2025-09-07T10:55:59.1841138Z triton_mm_4639 0.0172 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:55:59.1842715Z triton_mm_4643 0.0205 ms 78.2% 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 2025-09-07T10:55:59.1844314Z triton_mm_4635 0.0267 ms 60.1% 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 2025-09-07T10:55:59.1845852Z triton_mm_4649 0.0296 ms 54.3% 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 2025-09-07T10:55:59.1847722Z triton_mm_4642 0.0326 ms 49.2% 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 2025-09-07T10:55:59.1849330Z triton_mm_4638 0.0331 ms 48.5% 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 2025-09-07T10:55:59.1850534Z triton_mm_4648 0.0361 ms 44.5% 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 2025-09-07T10:55:59.1851386Z triton_mm_4634 0.0366 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 2025-09-07T10:55:59.1852227Z triton_mm_4641 0.0388 ms 41.5% 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 2025-09-07T10:55:59.1852972Z SingleProcess AUTOTUNE benchmarking takes 0.2774 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:55:59.4434363Z Autotune Choices Stats: 2025-09-07T10:55:59.4436347Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "bmm", "best_time": 0.01897599920630455, "best_triton_pos": 1, "best_triton_time": 0.03619199991226196, "best_triton_kernel": "triton_bmm_4710", "best_triton_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"} 2025-09-07T10:55:59.4476277Z AUTOTUNE bmm(16x512x512, 16x512x64) 2025-09-07T10:55:59.4476716Z strides: [262144, 1, 512], [1, 1024, 16] 2025-09-07T10:55:59.4477168Z dtypes: torch.float16, torch.float16 2025-09-07T10:55:59.4477841Z bmm 0.0190 ms 100.0% 2025-09-07T10:55:59.4478807Z triton_bmm_4710 0.0362 ms 52.4% 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 2025-09-07T10:55:59.4480336Z triton_bmm_4721 0.0430 ms 44.1% 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 2025-09-07T10:55:59.4481194Z triton_bmm_4707 0.0439 ms 43.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:55:59.4482056Z triton_bmm_4724 0.0442 ms 43.0% 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 2025-09-07T10:55:59.4483172Z triton_bmm_4720 0.0455 ms 41.7% 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 2025-09-07T10:55:59.4484182Z triton_bmm_4711 0.0462 ms 41.1% 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 2025-09-07T10:55:59.4485072Z triton_bmm_4714 0.0466 ms 40.7% 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 2025-09-07T10:55:59.4485927Z triton_bmm_4722 0.0475 ms 40.0% 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=2, num_warps=8 2025-09-07T10:55:59.4486799Z triton_bmm_4719 0.0491 ms 38.7% 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 2025-09-07T10:55:59.4487703Z SingleProcess AUTOTUNE benchmarking takes 0.2612 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:55:59.6873758Z Autotune Choices Stats: 2025-09-07T10:55:59.6875414Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_4733", "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=5, num_warps=4", "best_time": 0.016992000862956047, "best_triton_pos": 0} 2025-09-07T10:55:59.6916473Z AUTOTUNE bmm(16x512x64, 16x64x512) 2025-09-07T10:55:59.6916938Z strides: [1, 1024, 16], [64, 1, 1024] 2025-09-07T10:55:59.6917637Z dtypes: torch.float16, torch.float16 2025-09-07T10:55:59.6918698Z triton_bmm_4733 0.0170 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=5, num_warps=4 2025-09-07T10:55:59.6919734Z bmm 0.0178 ms 95.3% 2025-09-07T10:55:59.6920564Z triton_bmm_4732 0.0193 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 2025-09-07T10:55:59.6921559Z triton_bmm_4741 0.0227 ms 74.8% 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 2025-09-07T10:55:59.6922543Z triton_bmm_4734 0.0232 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 2025-09-07T10:55:59.6923546Z triton_bmm_4740 0.0234 ms 72.6% 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 2025-09-07T10:55:59.6924547Z triton_bmm_4735 0.0240 ms 70.8% 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 2025-09-07T10:55:59.6925536Z triton_bmm_4742 0.0243 ms 69.9% 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 2025-09-07T10:55:59.6926545Z triton_bmm_4743 0.0247 ms 68.8% 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 2025-09-07T10:55:59.6927665Z triton_bmm_4736 0.0250 ms 68.1% 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 2025-09-07T10:55:59.6928537Z SingleProcess AUTOTUNE benchmarking takes 0.2429 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:55:59.8733713Z Autotune Choices Stats: 2025-09-07T10:55:59.8735893Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_4751", "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": 0.015135999768972397, "best_triton_pos": 0} 2025-09-07T10:55:59.8777841Z AUTOTUNE bmm(16x64x512, 16x512x1024) 2025-09-07T10:55:59.8778296Z strides: [64, 1, 1024], [524288, 1024, 1] 2025-09-07T10:55:59.8779104Z dtypes: torch.float16, torch.float16 2025-09-07T10:55:59.8780385Z triton_bmm_4751 0.0151 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 2025-09-07T10:55:59.8781435Z triton_bmm_4755 0.0151 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 2025-09-07T10:55:59.8782418Z triton_bmm_4758 0.0153 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:55:59.8783407Z triton_bmm_4760 0.0153 ms 99.0% 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=5, num_warps=8 2025-09-07T10:55:59.8784399Z triton_bmm_4756 0.0153 ms 98.7% 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 2025-09-07T10:55:59.8785389Z triton_bmm_4754 0.0155 ms 97.7% 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 2025-09-07T10:55:59.8786002Z bmm 0.0156 ms 97.1% 2025-09-07T10:55:59.8786566Z triton_bmm_4752 0.0163 ms 93.1% 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 2025-09-07T10:55:59.8787709Z triton_bmm_4757 0.0164 ms 92.2% 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=3, num_warps=4 2025-09-07T10:55:59.8788703Z triton_bmm_4753 0.0165 ms 91.5% 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 2025-09-07T10:55:59.8789571Z SingleProcess AUTOTUNE benchmarking takes 0.1856 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:56:00.0794633Z Autotune Choices Stats: 2025-09-07T10:56:00.0796223Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_4769", "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": 0.015231999568641186, "best_triton_pos": 0} 2025-09-07T10:56:00.0840411Z AUTOTUNE bmm(16x512x1024, 16x1024x64) 2025-09-07T10:56:00.0840884Z strides: [524288, 1024, 1], [64, 1024, 1] 2025-09-07T10:56:00.0841364Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:00.0842426Z triton_bmm_4769 0.0152 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 2025-09-07T10:56:00.0844064Z triton_bmm_4773 0.0153 ms 99.8% 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=4, num_warps=4 2025-09-07T10:56:00.0845096Z bmm 0.0160 ms 95.4% 2025-09-07T10:56:00.0846022Z triton_bmm_4778 0.0162 ms 93.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:56:00.0847873Z triton_bmm_4772 0.0177 ms 86.2% 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=4 2025-09-07T10:56:00.0849935Z triton_bmm_4768 0.0178 ms 85.8% 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 2025-09-07T10:56:00.0851064Z triton_bmm_4765 0.0181 ms 84.1% 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 2025-09-07T10:56:00.0852097Z triton_bmm_4777 0.0185 ms 82.4% 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 2025-09-07T10:56:00.0852977Z triton_bmm_4762 0.0194 ms 78.4% 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 2025-09-07T10:56:00.0853833Z triton_bmm_4763 0.0194 ms 78.4% 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 2025-09-07T10:56:00.0854576Z SingleProcess AUTOTUNE benchmarking takes 0.2058 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:56:00.2606869Z Autotune Choices Stats: 2025-09-07T10:56:00.2608703Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_4787", "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": 0.011231999844312668, "best_triton_pos": 0} 2025-09-07T10:56:00.2651280Z AUTOTUNE bmm(16x64x512, 16x512x512) 2025-09-07T10:56:00.2651762Z strides: [64, 1, 1024], [262144, 512, 1] 2025-09-07T10:56:00.2652213Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:00.2653259Z triton_bmm_4787 0.0112 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 2025-09-07T10:56:00.2654291Z bmm 0.0116 ms 97.2% 2025-09-07T10:56:00.2655342Z triton_bmm_4795 0.0116 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:56:00.2656905Z triton_bmm_4791 0.0116 ms 96.7% 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 2025-09-07T10:56:00.2658718Z triton_bmm_4786 0.0117 ms 96.2% 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 2025-09-07T10:56:00.2660617Z triton_bmm_4790 0.0120 ms 93.9% 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 2025-09-07T10:56:00.2661607Z triton_bmm_4782 0.0120 ms 93.4% 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 2025-09-07T10:56:00.2662593Z triton_bmm_4781 0.0121 ms 92.6% 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 2025-09-07T10:56:00.2663586Z triton_bmm_4793 0.0122 ms 92.4% 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 2025-09-07T10:56:00.2664605Z triton_bmm_4789 0.0123 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 2025-09-07T10:56:00.2665481Z SingleProcess AUTOTUNE benchmarking takes 0.1807 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:56:00.4716927Z Autotune Choices Stats: 2025-09-07T10:56:00.4718822Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_4898", "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": 0.009568000212311745, "best_triton_pos": 0} 2025-09-07T10:56:00.4760535Z AUTOTUNE mm(512x1024, 1024x1024) 2025-09-07T10:56:00.4760963Z strides: [1, 512], [1, 1024] 2025-09-07T10:56:00.4761382Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:00.4762782Z triton_mm_4898 0.0096 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 2025-09-07T10:56:00.4763826Z mm 0.0096 ms 99.3% 2025-09-07T10:56:00.4764768Z triton_mm_4902 0.0108 ms 88.5% 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 2025-09-07T10:56:00.4766351Z triton_mm_4894 0.0124 ms 77.3% 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 2025-09-07T10:56:00.4768231Z triton_mm_4908 0.0129 ms 74.4% 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 2025-09-07T10:56:00.4769835Z triton_mm_4897 0.0129 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 2025-09-07T10:56:00.4770981Z triton_mm_4901 0.0131 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 2025-09-07T10:56:00.4771857Z triton_mm_4893 0.0140 ms 68.4% 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 2025-09-07T10:56:00.4772722Z triton_mm_4904 0.0145 ms 66.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:56:00.4773583Z triton_mm_4900 0.0148 ms 64.7% 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 2025-09-07T10:56:00.4774332Z SingleProcess AUTOTUNE benchmarking takes 0.2089 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:56:09.2445268Z 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 2025-09-07T10:56:09.2446974Z pred = mod(**cloned_inputs) 2025-09-07T10:56:09.2448224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 1607, in forward 2025-09-07T10:56:09.2449239Z transformer_outputs = self.transformer( 2025-09-07T10:56:09.2450253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 1368, in forward 2025-09-07T10:56:09.2451237Z outputs = layer_module( 2025-09-07T10:56:09.2452142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 494, in forward 2025-09-07T10:56:09.2453141Z outputs = self.rel_attn( 2025-09-07T10:56:09.2453747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 425, in forward 2025-09-07T10:56:09.2454251Z attn_vec = self.rel_attn_core( 2025-09-07T10:56:09.2454760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 267, in rel_attn_core 2025-09-07T10:56:09.2455400Z bd = self.rel_shift_bnij(bd, klen=ac.shape[3]) 2025-09-07T10:56:09.2455940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 244, in rel_shift_bnij 2025-09-07T10:56:09.2457004Z x = torch.index_select(x, 3, torch.arange(klen, device=x.device, dtype=torch.long)) 2025-09-07T10:56:09.2457409Z 2025-09-07T10:56:09.2457413Z 2025-09-07T10:56:10.6454268Z W0907 10:56:10.644000 46925 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:57:08.0269808Z pass 2025-09-07T10:57:16.2797787Z /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. 2025-09-07T10:57:16.2799130Z import pynvml # type: ignore[import] 2025-09-07T10:57:19.3536073Z /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. 2025-09-07T10:57:19.3537918Z from pkg_resources import resource_filename 2025-09-07T10:57:19.9494949Z 2025-09-07T10:57:22.7166806Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:57:22.7167171Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:57:22.7168090Z cuda train YituTechConvBert 2025-09-07T10:57:52.1260536Z Autotune Choices Stats: 2025-09-07T10:57:52.1261639Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_42", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.00863999966531992, "best_triton_pos": 0} 2025-09-07T10:57:52.1311471Z AUTOTUNE addmm(512x384, 512x768, 768x384) 2025-09-07T10:57:52.1311796Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:57:52.1312130Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:57:52.1312824Z triton_mm_42 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 2025-09-07T10:57:52.1313811Z triton_mm_46 0.0092 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 2025-09-07T10:57:52.1314437Z bias_addmm 0.0096 ms 90.3% 2025-09-07T10:57:52.1315039Z triton_mm_50 0.0098 ms 88.2% 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 2025-09-07T10:57:52.1315977Z triton_mm_41 0.0109 ms 79.2% 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 2025-09-07T10:57:52.1316876Z triton_mm_40 0.0111 ms 77.8% 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 2025-09-07T10:57:52.1318182Z triton_mm_45 0.0111 ms 77.8% 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 2025-09-07T10:57:52.1319102Z triton_mm_39 0.0116 ms 74.8% 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 2025-09-07T10:57:52.1319994Z triton_mm_49 0.0116 ms 74.4% 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 2025-09-07T10:57:52.1320890Z triton_mm_56 0.0118 ms 73.0% 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 2025-09-07T10:57:52.1321679Z SingleProcess AUTOTUNE benchmarking takes 0.2718 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:57:54.1363448Z E0907 10:57:54.135000 52738 site-packages/torch/_inductor/select_algorithm.py:2967] [2/0_1] Runtime error during autotuning: 2025-09-07T10:57:54.1365490Z E0907 10:57:54.135000 52738 site-packages/torch/_inductor/select_algorithm.py:2967] [2/0_1] permute(sparse_coo): number of dimensions in the tensor input does not match the length of the desired ordering of dimensions i.e. input.dim() = 3 is not equal to len(dims) = 4. 2025-09-07T10:57:54.1366704Z E0907 10:57:54.135000 52738 site-packages/torch/_inductor/select_algorithm.py:2967] [2/0_1] Ignoring this choice. 2025-09-07T10:57:54.1367146Z Autotune Choices Stats: 2025-09-07T10:57:54.1367894Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "convolution", "best_time": 0.009216000325977802} 2025-09-07T10:57:54.1409356Z AUTOTUNE convolution(1x768x512, 384x768x1) 2025-09-07T10:57:54.1409650Z strides: [393216, 512, 1], [768, 1, 1] 2025-09-07T10:57:54.1409956Z dtypes: torch.float16, torch.float16 2025-09-07T10:57:54.1410236Z convolution 0.0092 ms 100.0% 2025-09-07T10:57:54.1410495Z conv1x1_via_mm inf ms 0.0% 2025-09-07T10:57:54.1410966Z SingleProcess AUTOTUNE benchmarking takes 0.0273 seconds and 0.0001 seconds precompiling for 2 choices 2025-09-07T10:57:54.3694318Z Autotune Choices Stats: 2025-09-07T10:57:54.3695438Z {"num_choices": 19, "num_triton_choices": 18, "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": 0.00723200011998415, "best_triton_pos": 0} 2025-09-07T10:57:54.3740087Z AUTOTUNE mm(512x384, 384x54) 2025-09-07T10:57:54.3740348Z strides: [1, 512], [1, 384] 2025-09-07T10:57:54.3740583Z dtypes: torch.float16, torch.float16 2025-09-07T10:57:54.3741190Z triton_mm_61 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 2025-09-07T10:57:54.3742133Z triton_mm_69 0.0076 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=4, num_warps=4 2025-09-07T10:57:54.3743048Z triton_mm_65 0.0077 ms 94.2% 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 2025-09-07T10:57:54.3743949Z triton_mm_60 0.0080 ms 90.8% 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 2025-09-07T10:57:54.3744845Z triton_mm_68 0.0082 ms 88.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:57:54.3745804Z triton_mm_59 0.0083 ms 87.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:57:54.3746766Z triton_mm_64 0.0083 ms 86.9% 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 2025-09-07T10:57:54.3748054Z triton_mm_74 0.0083 ms 86.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:57:54.3749026Z triton_mm_58 0.0084 ms 85.6% 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 2025-09-07T10:57:54.3749989Z triton_mm_73 0.0086 ms 83.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:57:54.3750835Z SingleProcess AUTOTUNE benchmarking takes 0.2321 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:57:54.6152502Z Autotune Choices Stats: 2025-09-07T10:57:54.6153504Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_79", "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": 0.00825599953532219, "best_triton_pos": 0} 2025-09-07T10:57:54.6198959Z AUTOTUNE mm(512x768, 768x384) 2025-09-07T10:57:54.6199626Z strides: [768, 1], [1, 768] 2025-09-07T10:57:54.6199905Z dtypes: torch.float16, torch.float16 2025-09-07T10:57:54.6200567Z triton_mm_79 0.0083 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:57:54.6201188Z mm 0.0086 ms 95.6% 2025-09-07T10:57:54.6201762Z triton_mm_83 0.0087 ms 94.5% 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 2025-09-07T10:57:54.6202768Z triton_mm_87 0.0095 ms 86.9% 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 2025-09-07T10:57:54.6203721Z triton_mm_78 0.0104 ms 79.1% 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 2025-09-07T10:57:54.6204658Z triton_mm_82 0.0106 ms 77.7% 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 2025-09-07T10:57:54.6205657Z triton_mm_77 0.0108 ms 76.8% 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 2025-09-07T10:57:54.6206471Z triton_mm_86 0.0112 ms 73.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:57:54.6207654Z triton_mm_93 0.0112 ms 73.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:57:54.6208497Z triton_mm_76 0.0114 ms 72.3% 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 2025-09-07T10:57:54.6209243Z SingleProcess AUTOTUNE benchmarking takes 0.2453 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:57:54.7189379Z Autotune Choices Stats: 2025-09-07T10:57:54.7190346Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_bmm_97", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.009696000255644321, "best_triton_pos": 0} 2025-09-07T10:57:54.7234296Z AUTOTUNE bmm(3072x64x9, 3072x9x1) 2025-09-07T10:57:54.7234549Z strides: [576, 9, 1], [9, 1, 27648] 2025-09-07T10:57:54.7234815Z dtypes: torch.float16, torch.float16 2025-09-07T10:57:54.7235555Z triton_bmm_97 0.0097 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:57:54.7236756Z triton_bmm_99 0.0097 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:57:54.7238205Z triton_bmm_100 0.0098 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:57:54.7239214Z triton_bmm_98 0.0098 ms 98.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:57:54.7240664Z triton_bmm_94 0.0101 ms 95.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:57:54.7241624Z triton_bmm_96 0.0102 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:57:54.7242775Z triton_bmm_95 0.0102 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:57:54.7243392Z bmm 0.0129 ms 75.4% 2025-09-07T10:57:54.7243848Z SingleProcess AUTOTUNE benchmarking takes 0.1032 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:57:54.9615200Z Autotune Choices Stats: 2025-09-07T10:57:54.9616217Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_112", "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": 0.0077760000713169575, "best_triton_pos": 0} 2025-09-07T10:57:54.9660726Z AUTOTUNE bmm(6x512x64, 6x64x512) 2025-09-07T10:57:54.9661019Z strides: [64, 384, 1], [64, 1, 384] 2025-09-07T10:57:54.9661299Z dtypes: torch.float16, torch.float16 2025-09-07T10:57:54.9661990Z triton_bmm_112 0.0078 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 2025-09-07T10:57:54.9663003Z triton_bmm_113 0.0078 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:57:54.9663982Z triton_bmm_110 0.0079 ms 98.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:57:54.9665008Z triton_bmm_108 0.0079 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 2025-09-07T10:57:54.9666188Z triton_bmm_109 0.0079 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=5, num_warps=4 2025-09-07T10:57:54.9667182Z triton_bmm_111 0.0079 ms 98.0% 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 2025-09-07T10:57:54.9668307Z triton_bmm_115 0.0081 ms 96.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:57:54.9669298Z triton_bmm_118 0.0081 ms 95.7% 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 2025-09-07T10:57:54.9670294Z triton_bmm_114 0.0082 ms 95.3% 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 2025-09-07T10:57:54.9671283Z triton_bmm_119 0.0082 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 2025-09-07T10:57:54.9672153Z SingleProcess AUTOTUNE benchmarking takes 0.2421 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:57:55.1918241Z Autotune Choices Stats: 2025-09-07T10:57:55.1919266Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_124", "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": 0.008767999708652496, "best_triton_pos": 0} 2025-09-07T10:57:55.1964635Z AUTOTUNE bmm(6x512x512, 6x512x64) 2025-09-07T10:57:55.1964920Z strides: [262144, 512, 1], [64, 384, 1] 2025-09-07T10:57:55.1965204Z dtypes: torch.float16, torch.float16 2025-09-07T10:57:55.1965889Z triton_bmm_124 0.0088 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 2025-09-07T10:57:55.1967183Z triton_bmm_128 0.0091 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:57:55.1968379Z triton_bmm_132 0.0091 ms 96.1% 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=4, num_warps=4 2025-09-07T10:57:55.1969000Z bmm 0.0093 ms 94.2% 2025-09-07T10:57:55.1969584Z triton_bmm_137 0.0098 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:57:55.1970563Z triton_bmm_131 0.0101 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:57:55.1971525Z triton_bmm_123 0.0102 ms 86.2% 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 2025-09-07T10:57:55.1972488Z triton_bmm_122 0.0102 ms 85.9% 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 2025-09-07T10:57:55.1973448Z triton_bmm_127 0.0103 ms 85.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:57:55.1974413Z triton_bmm_136 0.0106 ms 82.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:57:55.1975381Z SingleProcess AUTOTUNE benchmarking takes 0.2299 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:57:55.8337038Z Autotune Choices Stats: 2025-09-07T10:57:55.8338329Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_2376", "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": 0.06467200070619583, "best_triton_pos": 0} 2025-09-07T10:57:55.8385001Z AUTOTUNE addmm(512x30522, 512x768, 768x30522) 2025-09-07T10:57:55.8385331Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:57:55.8385696Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:57:55.8386482Z triton_mm_2376 0.0647 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 2025-09-07T10:57:55.8387619Z triton_mm_2370 0.0717 ms 90.1% 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 2025-09-07T10:57:55.8388600Z triton_mm_2377 0.0760 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 2025-09-07T10:57:55.8389588Z triton_mm_2375 0.0784 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 2025-09-07T10:57:55.8390575Z triton_mm_2369 0.0825 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=4, num_warps=8 2025-09-07T10:57:55.8391546Z triton_mm_2368 0.0834 ms 77.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:57:55.8393064Z triton_mm_2373 0.0843 ms 76.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:57:55.8394031Z triton_mm_2372 0.0872 ms 74.1% 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 2025-09-07T10:57:55.8395175Z triton_mm_2371 0.0874 ms 74.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:57:55.8396150Z triton_mm_2366 0.0890 ms 72.6% 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 2025-09-07T10:57:55.8396934Z SingleProcess AUTOTUNE benchmarking takes 0.4555 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:58:18.5263595Z Autotune Choices Stats: 2025-09-07T10:58:18.5264687Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_2413", "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": 0.07215999811887741, "best_triton_pos": 0} 2025-09-07T10:58:18.5313779Z AUTOTUNE mm(30522x512, 512x768) 2025-09-07T10:58:18.5314084Z strides: [1, 30522], [768, 1] 2025-09-07T10:58:18.5314393Z dtypes: torch.float16, torch.float16 2025-09-07T10:58:18.5315090Z triton_mm_2413 0.0722 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 2025-09-07T10:58:18.5316142Z triton_mm_2414 0.0818 ms 88.2% 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 2025-09-07T10:58:18.5317179Z triton_mm_2406 0.0826 ms 87.4% 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 2025-09-07T10:58:18.5318506Z triton_mm_2407 0.0853 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 2025-09-07T10:58:18.5319480Z triton_mm_2408 0.0870 ms 82.9% 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 2025-09-07T10:58:18.5320460Z triton_mm_2415 0.0949 ms 76.1% 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 2025-09-07T10:58:18.5321463Z triton_mm_2412 0.0967 ms 74.6% 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 2025-09-07T10:58:18.5322452Z triton_mm_2410 0.0979 ms 73.7% 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 2025-09-07T10:58:18.5323426Z triton_mm_2411 0.1053 ms 68.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:58:18.5324282Z triton_mm_2403 0.1154 ms 62.5% 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 2025-09-07T10:58:18.5325032Z SingleProcess AUTOTUNE benchmarking takes 0.4669 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:58:19.6278480Z Autotune Choices Stats: 2025-09-07T10:58:19.6279784Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.008128000423312187, "best_triton_pos": 1, "best_triton_time": 0.008128000423312187, "best_triton_kernel": "triton_mm_2684", "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"} 2025-09-07T10:58:19.6329757Z AUTOTUNE mm(384x512, 512x768) 2025-09-07T10:58:19.6330039Z strides: [512, 1], [768, 1] 2025-09-07T10:58:19.6330295Z dtypes: torch.float16, torch.float16 2025-09-07T10:58:19.6330570Z mm 0.0081 ms 100.0% 2025-09-07T10:58:19.6331548Z triton_mm_2684 0.0081 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 2025-09-07T10:58:19.6332564Z triton_mm_2688 0.0089 ms 91.7% 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 2025-09-07T10:58:19.6333610Z triton_mm_2683 0.0092 ms 88.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:58:19.6334461Z triton_mm_2687 0.0093 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:58:19.6335400Z triton_mm_2686 0.0099 ms 82.5% 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 2025-09-07T10:58:19.6336247Z triton_mm_2694 0.0100 ms 81.2% 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 2025-09-07T10:58:19.6337088Z triton_mm_2680 0.0101 ms 80.4% 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 2025-09-07T10:58:19.6338142Z triton_mm_2690 0.0102 ms 79.9% 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 2025-09-07T10:58:19.6338982Z triton_mm_2679 0.0103 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 2025-09-07T10:58:19.6339711Z SingleProcess AUTOTUNE benchmarking takes 0.1959 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:58:20.2583595Z Autotune Choices Stats: 2025-09-07T10:58:20.2584637Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_2796", "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": 0.007872000336647034, "best_triton_pos": 0} 2025-09-07T10:58:20.2635756Z AUTOTUNE mm(384x512, 512x768) 2025-09-07T10:58:20.2636006Z strides: [1, 384], [768, 1] 2025-09-07T10:58:20.2636238Z dtypes: torch.float16, torch.float16 2025-09-07T10:58:20.2636868Z triton_mm_2796 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 2025-09-07T10:58:20.2637822Z mm 0.0081 ms 97.2% 2025-09-07T10:58:20.2638383Z triton_mm_2800 0.0086 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 2025-09-07T10:58:20.2639315Z triton_mm_2795 0.0091 ms 86.3% 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 2025-09-07T10:58:20.2640215Z triton_mm_2799 0.0095 ms 83.1% 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 2025-09-07T10:58:20.2641111Z triton_mm_2798 0.0096 ms 82.0% 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 2025-09-07T10:58:20.2642336Z triton_mm_2806 0.0098 ms 80.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:58:20.2643245Z triton_mm_2802 0.0099 ms 79.4% 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 2025-09-07T10:58:20.2644374Z triton_mm_2791 0.0100 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 2025-09-07T10:58:20.2645268Z triton_mm_2792 0.0101 ms 77.8% 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 2025-09-07T10:58:20.2646052Z SingleProcess AUTOTUNE benchmarking takes 0.1964 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:58:20.6745220Z Autotune Choices Stats: 2025-09-07T10:58:20.6746250Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_2699", "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": 0.008415999822318554, "best_triton_pos": 0} 2025-09-07T10:58:20.6795468Z AUTOTUNE mm(54x512, 512x384) 2025-09-07T10:58:20.6795796Z strides: [1, 54], [1, 512] 2025-09-07T10:58:20.6796073Z dtypes: torch.float16, torch.float16 2025-09-07T10:58:20.6796742Z triton_mm_2699 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 2025-09-07T10:58:20.6797875Z triton_mm_2703 0.0087 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 2025-09-07T10:58:20.6798863Z triton_mm_2697 0.0090 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:58:20.6799809Z triton_mm_2698 0.0092 ms 92.0% 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 2025-09-07T10:58:20.6800778Z triton_mm_2696 0.0093 ms 90.1% 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 2025-09-07T10:58:20.6801782Z triton_mm_2707 0.0095 ms 88.6% 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 2025-09-07T10:58:20.6802765Z triton_mm_2706 0.0096 ms 87.7% 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 2025-09-07T10:58:20.6803799Z triton_mm_2711 0.0096 ms 87.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:58:20.6804635Z triton_mm_2702 0.0097 ms 86.5% 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 2025-09-07T10:58:20.6805467Z triton_mm_2709 0.0098 ms 85.7% 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 2025-09-07T10:58:20.6806203Z SingleProcess AUTOTUNE benchmarking takes 0.1779 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:58:23.9240518Z Autotune Choices Stats: 2025-09-07T10:58:23.9241992Z {"num_choices": 30, "num_triton_choices": 19, "best_kernel": "decompose_k_mm_6_split_2", "best_kernel_desc": "k_split=6", "best_time": 0.05407999828457832, "best_triton_pos": 5, "best_triton_time": 0.09782399982213974, "best_triton_kernel": "triton_mm_2386", "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"} 2025-09-07T10:58:23.9313508Z AUTOTUNE mm(512x30528, 30528x768) 2025-09-07T10:58:23.9313771Z strides: [30528, 1], [768, 1] 2025-09-07T10:58:23.9314018Z dtypes: torch.float16, torch.float16 2025-09-07T10:58:23.9314691Z decompose_k_mm_6_split_2 0.0541 ms 100.0% k_split=6 2025-09-07T10:58:23.9315078Z mm 0.0570 ms 94.9% 2025-09-07T10:58:23.9315397Z decompose_k_mm_3_split_1 0.0573 ms 94.3% k_split=3 2025-09-07T10:58:23.9315776Z decompose_k_mm_4_split_5 0.0591 ms 91.5% k_split=4 2025-09-07T10:58:23.9316100Z decompose_k_mm_2_split_0 0.0655 ms 82.6% k_split=2 2025-09-07T10:58:23.9316772Z triton_mm_2386 0.0978 ms 55.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:58:23.9318138Z triton_mm_2390 0.1214 ms 44.6% 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 2025-09-07T10:58:23.9319104Z triton_mm_2382 0.1436 ms 37.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:58:23.9320064Z triton_mm_2396 0.1635 ms 33.1% 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 2025-09-07T10:58:23.9321066Z triton_mm_2389 0.1898 ms 28.5% 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 2025-09-07T10:58:23.9321919Z SingleProcess AUTOTUNE benchmarking takes 1.7152 seconds and 0.0002 seconds precompiling for 30 choices 2025-09-07T10:58:24.1323895Z Autotune Choices Stats: 2025-09-07T10:58:24.1324895Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_2572", "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": 0.00886400043964386, "best_triton_pos": 0} 2025-09-07T10:58:24.1377036Z AUTOTUNE bmm(6x512x512, 6x512x64) 2025-09-07T10:58:24.1377521Z strides: [262144, 1, 512], [64, 768, 1] 2025-09-07T10:58:24.1377824Z dtypes: torch.float16, torch.float16 2025-09-07T10:58:24.1378515Z triton_bmm_2572 0.0089 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 2025-09-07T10:58:24.1379556Z triton_bmm_2580 0.0089 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 2025-09-07T10:58:24.1380569Z triton_bmm_2576 0.0090 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 2025-09-07T10:58:24.1381201Z bmm 0.0092 ms 95.8% 2025-09-07T10:58:24.1381803Z triton_bmm_2585 0.0097 ms 91.4% 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 2025-09-07T10:58:24.1382793Z triton_bmm_2571 0.0098 ms 90.5% 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 2025-09-07T10:58:24.1383763Z triton_bmm_2579 0.0098 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:58:24.1384900Z triton_bmm_2570 0.0099 ms 89.4% 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 2025-09-07T10:58:24.1386089Z triton_bmm_2575 0.0100 ms 88.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:58:24.1387235Z triton_bmm_2584 0.0104 ms 85.2% 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=3, num_warps=4 2025-09-07T10:58:24.1388251Z SingleProcess AUTOTUNE benchmarking takes 0.1911 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:58:24.3228072Z Autotune Choices Stats: 2025-09-07T10:58:24.3229034Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_2594", "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=5, num_warps=4", "best_time": 0.007519999984651804, "best_triton_pos": 0} 2025-09-07T10:58:24.3281094Z AUTOTUNE bmm(6x512x64, 6x64x512) 2025-09-07T10:58:24.3281388Z strides: [64, 768, 1], [64, 1, 384] 2025-09-07T10:58:24.3281662Z dtypes: torch.float16, torch.float16 2025-09-07T10:58:24.3282337Z triton_bmm_2594 0.0075 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=5, num_warps=4 2025-09-07T10:58:24.3283368Z triton_bmm_2593 0.0077 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 2025-09-07T10:58:24.3284384Z triton_bmm_2597 0.0077 ms 97.1% 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 2025-09-07T10:58:24.3285403Z triton_bmm_2598 0.0077 ms 97.1% 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=4, num_warps=4 2025-09-07T10:58:24.3286413Z triton_bmm_2595 0.0078 ms 96.3% 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 2025-09-07T10:58:24.3287677Z triton_bmm_2604 0.0078 ms 95.9% 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 2025-09-07T10:58:24.3288686Z triton_bmm_2590 0.0079 ms 95.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:58:24.3289661Z triton_bmm_2596 0.0079 ms 95.1% 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 2025-09-07T10:58:24.3290652Z triton_bmm_2599 0.0079 ms 94.8% 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 2025-09-07T10:58:24.3291637Z triton_bmm_2600 0.0080 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=4, num_warps=8 2025-09-07T10:58:24.3292499Z SingleProcess AUTOTUNE benchmarking takes 0.1899 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:58:24.5012092Z Autotune Choices Stats: 2025-09-07T10:58:24.5013096Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_2609", "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": 0.008832000195980072, "best_triton_pos": 0} 2025-09-07T10:58:24.5065467Z AUTOTUNE bmm(6x64x512, 6x512x512) 2025-09-07T10:58:24.5065753Z strides: [64, 1, 384], [262144, 512, 1] 2025-09-07T10:58:24.5066027Z dtypes: torch.float16, torch.float16 2025-09-07T10:58:24.5066933Z triton_bmm_2609 0.0088 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 2025-09-07T10:58:24.5068695Z triton_bmm_2613 0.0091 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 2025-09-07T10:58:24.5069319Z bmm 0.0092 ms 96.5% 2025-09-07T10:58:24.5070106Z triton_bmm_2617 0.0095 ms 92.6% 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 2025-09-07T10:58:24.5071104Z triton_bmm_2621 0.0097 ms 91.4% 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=5, num_warps=8 2025-09-07T10:58:24.5072085Z triton_bmm_2608 0.0098 ms 90.5% 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 2025-09-07T10:58:24.5073079Z triton_bmm_2607 0.0100 ms 88.2% 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 2025-09-07T10:58:24.5074061Z triton_bmm_2612 0.0101 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 2025-09-07T10:58:24.5075044Z triton_bmm_2616 0.0102 ms 86.3% 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 2025-09-07T10:58:24.5075991Z triton_bmm_2619 0.0105 ms 84.1% 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=4, num_warps=8 2025-09-07T10:58:24.5076781Z SingleProcess AUTOTUNE benchmarking takes 0.1780 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:58:24.6145624Z Autotune Choices Stats: 2025-09-07T10:58:24.6146593Z {"num_choices": 11, "num_triton_choices": 10, "best_kernel": "triton_bmm_2643", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1", "best_time": 0.009375999681651592, "best_triton_pos": 0} 2025-09-07T10:58:24.6200471Z AUTOTUNE bmm(3072x9x64, 3072x64x1) 2025-09-07T10:58:24.6200774Z strides: [576, 1, 9], [64, 1, 0] 2025-09-07T10:58:24.6201062Z dtypes: torch.float16, torch.float16 2025-09-07T10:58:24.6201795Z triton_bmm_2643 0.0094 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:58:24.6202883Z triton_bmm_2649 0.0094 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:58:24.6203948Z triton_bmm_2645 0.0094 ms 99.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:58:24.6205044Z triton_bmm_2646 0.0094 ms 99.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:58:24.6205942Z triton_bmm_2641 0.0094 ms 99.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:58:24.6206835Z triton_bmm_2642 0.0096 ms 97.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:58:24.6207876Z triton_bmm_2647 0.0096 ms 97.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:58:24.6208982Z triton_bmm_2648 0.0096 ms 97.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:58:24.6209875Z triton_bmm_2640 0.0100 ms 94.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-07T10:58:24.6210958Z triton_bmm_2644 0.0100 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:58:24.6211751Z SingleProcess AUTOTUNE benchmarking takes 0.1113 seconds and 0.0002 seconds precompiling for 11 choices 2025-09-07T10:58:24.7112883Z Autotune Choices Stats: 2025-09-07T10:58:24.7113862Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_bmm_2655", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.008352000266313553, "best_triton_pos": 0} 2025-09-07T10:58:24.7168969Z AUTOTUNE bmm(3072x64x1, 3072x1x16) 2025-09-07T10:58:24.7169272Z strides: [64, 1, 0], [16, 49152, 1] 2025-09-07T10:58:24.7169569Z dtypes: torch.float16, torch.float16 2025-09-07T10:58:24.7170243Z triton_bmm_2655 0.0084 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:58:24.7171232Z triton_bmm_2653 0.0084 ms 99.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:58:24.7172215Z triton_bmm_2654 0.0086 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:58:24.7173184Z triton_bmm_2656 0.0086 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:58:24.7174141Z triton_bmm_2650 0.0096 ms 87.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:58:24.7175390Z triton_bmm_2652 0.0096 ms 87.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:58:24.7176370Z triton_bmm_2651 0.0096 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:58:24.7176985Z bmm 0.0240 ms 34.8% 2025-09-07T10:58:24.7177684Z SingleProcess AUTOTUNE benchmarking takes 0.0964 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:58:24.9051951Z Autotune Choices Stats: 2025-09-07T10:58:24.9053001Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_2665", "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": 0.007615999784320593, "best_triton_pos": 0} 2025-09-07T10:58:24.9104589Z AUTOTUNE mm(512x384, 384x768) 2025-09-07T10:58:24.9104915Z strides: [1, 512], [768, 1] 2025-09-07T10:58:24.9105220Z dtypes: torch.float16, torch.float16 2025-09-07T10:58:24.9105869Z triton_mm_2665 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 2025-09-07T10:58:24.9106497Z mm 0.0084 ms 90.2% 2025-09-07T10:58:24.9107108Z triton_mm_2669 0.0086 ms 88.5% 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 2025-09-07T10:58:24.9108929Z triton_mm_2667 0.0090 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=4, num_warps=8 2025-09-07T10:58:24.9109908Z triton_mm_2664 0.0090 ms 84.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:58:24.9111050Z triton_mm_2668 0.0090 ms 84.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:58:24.9112014Z triton_mm_2660 0.0093 ms 82.1% 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 2025-09-07T10:58:24.9112983Z triton_mm_2675 0.0094 ms 80.7% 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 2025-09-07T10:58:24.9113960Z triton_mm_2671 0.0095 ms 80.4% 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 2025-09-07T10:58:24.9114938Z triton_mm_2658 0.0096 ms 79.6% 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 2025-09-07T10:58:24.9115786Z SingleProcess AUTOTUNE benchmarking takes 0.1931 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:58:25.0909759Z Autotune Choices Stats: 2025-09-07T10:58:25.0910717Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_2715", "best_kernel_desc": "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", "best_time": 0.006463999859988689, "best_triton_pos": 0} 2025-09-07T10:58:25.0963382Z AUTOTUNE mm(384x54, 54x512) 2025-09-07T10:58:25.0963658Z strides: [1, 384], [1, 54] 2025-09-07T10:58:25.0963911Z dtypes: torch.float16, torch.float16 2025-09-07T10:58:25.0964563Z triton_mm_2715 0.0065 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:58:25.0965553Z triton_mm_2720 0.0065 ms 99.5% 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=5, num_warps=4 2025-09-07T10:58:25.0966507Z triton_mm_2719 0.0065 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:58:25.0967830Z triton_mm_2714 0.0066 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:58:25.0968785Z triton_mm_2716 0.0066 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:58:25.0969726Z triton_mm_2713 0.0067 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:58:25.0970684Z triton_mm_2723 0.0067 ms 96.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:58:25.0971676Z triton_mm_2724 0.0067 ms 96.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:58:25.0972638Z triton_mm_2718 0.0068 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:58:25.0973852Z triton_mm_2725 0.0068 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:58:25.0974691Z SingleProcess AUTOTUNE benchmarking takes 0.1854 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:58:25.2854055Z Autotune Choices Stats: 2025-09-07T10:58:25.2855409Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_2777", "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": 0.007872000336647034, "best_triton_pos": 0} 2025-09-07T10:58:25.2907648Z AUTOTUNE mm(512x384, 384x768) 2025-09-07T10:58:25.2907914Z strides: [384, 1], [768, 1] 2025-09-07T10:58:25.2908163Z dtypes: torch.float16, torch.float16 2025-09-07T10:58:25.2908829Z triton_mm_2777 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 2025-09-07T10:58:25.2909461Z mm 0.0084 ms 93.5% 2025-09-07T10:58:25.2910051Z triton_mm_2781 0.0086 ms 91.4% 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 2025-09-07T10:58:25.2911043Z triton_mm_2780 0.0089 ms 88.5% 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 2025-09-07T10:58:25.2912025Z triton_mm_2776 0.0090 ms 87.5% 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 2025-09-07T10:58:25.2912990Z triton_mm_2779 0.0095 ms 83.1% 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 2025-09-07T10:58:25.2913969Z triton_mm_2783 0.0095 ms 83.1% 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 2025-09-07T10:58:25.2914934Z triton_mm_2772 0.0095 ms 82.8% 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 2025-09-07T10:58:25.2915903Z triton_mm_2770 0.0095 ms 82.6% 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 2025-09-07T10:58:25.2916803Z triton_mm_2787 0.0096 ms 81.7% 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 2025-09-07T10:58:25.2917748Z SingleProcess AUTOTUNE benchmarking takes 0.1923 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:58:31.8008007Z 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 2025-09-07T10:58:31.8008957Z pred = mod(**cloned_inputs) 2025-09-07T10:58:31.8009501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 925, in forward 2025-09-07T10:58:31.8010080Z generator_hidden_states = self.convbert( 2025-09-07T10:58:31.8010629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 853, in forward 2025-09-07T10:58:31.8011163Z hidden_states = self.encoder( 2025-09-07T10:58:31.8011677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 625, in forward 2025-09-07T10:58:31.8012203Z layer_outputs = layer_module( 2025-09-07T10:58:31.8013087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T10:58:31.8013559Z return super().__call__(*args, **kwargs) 2025-09-07T10:58:31.8014086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 561, in forward 2025-09-07T10:58:31.8014623Z self_attention_outputs = self.attention( 2025-09-07T10:58:31.8015488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 464, in forward 2025-09-07T10:58:31.8016020Z self_outputs = self.self( 2025-09-07T10:58:31.8016530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 369, in forward 2025-09-07T10:58:31.8017074Z conv_out_layer = nn.functional.unfold( 2025-09-07T10:58:31.8017239Z 2025-09-07T10:58:31.8017243Z 2025-09-07T10:58:32.9017077Z W0907 10:58:32.900000 52738 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:59:15.5440508Z pass 2025-09-07T10:59:21.5611819Z accuracy pass_rate=100.00% 2025-09-07T10:59:21.5617223Z calls_captured gmean=276.39x mean=817.200x 2025-09-07T10:59:21.5622336Z unique_graphs gmean=4.39x mean=5.300x 2025-09-07T10:59:21.5624334Z graph_breaks gmean=5.83x mean=5.900x 2025-09-07T10:59:21.5627406Z unique_graph_breaks gmean=4.47x mean=4.500x 2025-09-07T10:59:21.5630549Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:59:21.5633535Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:59:21.5636467Z cudagraph_skips gmean=0.00x mean=1.300x 2025-09-07T10:59:21.5637609Z compilation_latency mean=48.682 seconds 2025-09-07T10:59:22.7181585Z + [[ 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* ]] 2025-09-07T10:59:22.7183099Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:59:22.7183418Z + for target in "${targets[@]}" 2025-09-07T10:59:22.7183683Z + target_flag=('--performance') 2025-09-07T10:59:22.7183937Z + local target_flag 2025-09-07T10:59:22.7184172Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T10:59:22.7184466Z + target_flag+=(--cold-start-latency) 2025-09-07T10:59:22.7185675Z + [[ 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* ]] 2025-09-07T10:59:22.7188135Z + [[ 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* ]] 2025-09-07T10:59:22.7190372Z + python benchmarks/dynamo/huggingface.py --performance --cold-start-latency --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance.csv 2025-09-07T10:59:23.6848968Z /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. 2025-09-07T10:59:23.6850226Z import pynvml # type: ignore[import] 2025-09-07T10:59:26.8160903Z /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. 2025-09-07T10:59:26.8162847Z from pkg_resources import resource_filename 2025-09-07T10:59:29.4212710Z /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. 2025-09-07T10:59:29.4213800Z import pynvml # type: ignore[import] 2025-09-07T10:59:32.4810858Z /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. 2025-09-07T10:59:32.4812285Z from pkg_resources import resource_filename 2025-09-07T10:59:33.0686737Z 2025-09-07T10:59:34.9758105Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:59:34.9758487Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:59:34.9758806Z cuda train PLBartForCausalLM 2025-09-07T10:59:46.6873073Z 2025-09-07T10:59:46.8378846Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:02:20.6363803Z 2025-09-07T11:02:20.7619052Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:03:27.4801259Z 2025-09-07T11:03:27.6448708Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:04:33.1512614Z 2025-09-07T11:04:33.3318549Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:04:57.9209843Z 2025-09-07T11:04:58.0960943Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:08:22.6329219Z 2025-09-07T11:08:22.9182691Z running benchmark: 0% 0/30 [00:00 will be ignored 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running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:54:54.4633921Z 2025-09-07T11:54:54.6720798Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:56:14.2634156Z 2025-09-07T11:56:14.4400473Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:57:59.7040620Z 2025-09-07T11:57:59.9482655Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:58:25.6845775Z 2025-09-07T11:58:25.9309153Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T12:03:27.3418529Z 2025-09-07T12:03:27.7599545Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T12:05:46.8731774Z 2025-09-07T12:05:47.0978551Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T13:48:11.5613515Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T13:48:11.5629313Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:48:11.5629593Z env: 2025-09-07T13:48:11.5629754Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:48:11.5630003Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:48:11.5630341Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:48:11.5630765Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:48:11.5631116Z ##[endgroup] 2025-09-07T13:48:11.5663927Z + [[ -n '' ]] 2025-09-07T13:48:11.5664298Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T13:48:11.8332355Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T13:48:12.5568314Z Collecting boto3==1.35.33 2025-09-07T13:48:12.5953180Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T13:48:12.6218505Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.1/139.1 KB 5.4 MB/s eta 0:00:00 2025-09-07T13:48:12.7665664Z Collecting psutil==7.0.0 2025-09-07T13:48:12.7694363Z 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) 2025-09-07T13:48:12.7842432Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 278.0/278.0 KB 20.7 MB/s eta 0:00:00 2025-09-07T13:48:12.8040587Z Collecting pynvml==12.0.0 2025-09-07T13:48:12.8073090Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T13:48:12.8473145Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T13:48:12.8499096Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T13:48:12.8575184Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.2/83.2 KB 12.3 MB/s eta 0:00:00 2025-09-07T13:48:13.5734420Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T13:48:13.5763281Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T13:48:13.6795688Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.3/13.3 MB 119.2 MB/s eta 0:00:00 2025-09-07T13:48:13.7230027Z Collecting jmespath<2.0.0,>=0.7.1 2025-09-07T13:48:13.7256260Z Downloading jmespath-1.0.1-py3-none-any.whl (20 kB) 2025-09-07T13:48:13.7728932Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T13:48:13.7767110Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T13:48:13.7851949Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.5/47.5 KB 5.5 MB/s eta 0:00:00 2025-09-07T13:48:13.7911890Z 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) 2025-09-07T13:48:13.7923301Z 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) 2025-09-07T13:48:14.0964155Z Installing collected packages: nvidia-ml-py, pynvml, psutil, jmespath, botocore, s3transfer, boto3 2025-09-07T13:48:14.0964761Z Attempting uninstall: nvidia-ml-py 2025-09-07T13:48:14.0969738Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T13:48:14.1006445Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T13:48:14.1033533Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T13:48:14.1712532Z Attempting uninstall: psutil 2025-09-07T13:48:14.1718932Z Found existing installation: psutil 5.9.8 2025-09-07T13:48:14.1885723Z Uninstalling psutil-5.9.8: 2025-09-07T13:48:14.1894780Z Successfully uninstalled psutil-5.9.8 2025-09-07T13:48:14.9142358Z 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 2025-09-07T13:48:15.0144464Z + DEVICE_NAME= 2025-09-07T13:48:15.0144677Z + DEVICE_TYPE= 2025-09-07T13:48:15.0144885Z + command -v nvidia-smi 2025-09-07T13:48:15.0145713Z /usr/bin/nvidia-smi 2025-09-07T13:48:15.0145913Z + python3 -mpip install torch==2.7.1 2025-09-07T13:48:15.2808964Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T13:48:15.5088122Z Collecting torch==2.7.1 2025-09-07T13:48:15.5415866Z Downloading torch-2.7.1-cp310-cp310-manylinux_2_28_x86_64.whl (821.2 MB) 2025-09-07T13:48:27.3935415Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 821.2/821.2 MB 1.3 MB/s eta 0:00:00 2025-09-07T13:48:28.2400469Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/charlie/.local/lib/python3.10/site-packages (from torch==2.7.1) (4.15.0) 2025-09-07T13:48:28.2700092Z Collecting nvidia-curand-cu12==10.3.7.77 2025-09-07T13:48:28.2764806Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-09-07T13:48:28.7250244Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.3/56.3 MB 42.5 MB/s eta 0:00:00 2025-09-07T13:48:28.8107674Z Collecting jinja2 2025-09-07T13:48:28.8133934Z Downloading jinja2-3.1.6-py3-none-any.whl (134 kB) 2025-09-07T13:48:28.8219342Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 134.9/134.9 KB 18.7 MB/s eta 0:00:00 2025-09-07T13:48:28.8526764Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-09-07T13:48:28.8579520Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-09-07T13:48:28.9277813Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.9/8.9 MB 131.3 MB/s eta 0:00:00 2025-09-07T13:48:28.9868841Z Collecting fsspec 2025-09-07T13:48:28.9894636Z Downloading fsspec-2025.9.0-py3-none-any.whl (199 kB) 2025-09-07T13:48:28.9995758Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.3/199.3 KB 22.6 MB/s eta 0:00:00 2025-09-07T13:48:29.0542461Z Collecting networkx 2025-09-07T13:48:29.0568356Z Downloading networkx-3.4.2-py3-none-any.whl (1.7 MB) 2025-09-07T13:48:29.0755486Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 100.3 MB/s eta 0:00:00 2025-09-07T13:48:29.1099731Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-09-07T13:48:29.1171901Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-09-07T13:48:31.2149705Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 200.2/200.2 MB 8.4 MB/s eta 0:00:00 2025-09-07T13:48:31.4613569Z Collecting filelock 2025-09-07T13:48:31.4639888Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-09-07T13:48:31.5031744Z Collecting triton==3.3.1 2025-09-07T13:48:31.5071754Z Downloading triton-3.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-09-07T13:48:32.8568235Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.6/155.6 MB 14.3 MB/s eta 0:00:00 2025-09-07T13:48:33.0312034Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-09-07T13:48:33.0342003Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-09-07T13:48:33.0482537Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 897.7/897.7 KB 74.7 MB/s eta 0:00:00 2025-09-07T13:48:33.0790580Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-09-07T13:48:33.0819996Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-09-07T13:48:35.3602224Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 216.6/216.6 MB 7.6 MB/s eta 0:00:00 2025-09-07T13:48:35.5824870Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-09-07T13:48:35.5888633Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-09-07T13:48:36.9898966Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 156.8/156.8 MB 13.9 MB/s eta 0:00:00 2025-09-07T13:48:37.1611052Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-09-07T13:48:37.1695620Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-09-07T13:48:37.1842723Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 89.1 MB/s eta 0:00:00 2025-09-07T13:48:37.2147845Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-09-07T13:48:37.2201024Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-09-07T13:48:37.3618545Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.7/19.7 MB 104.0 MB/s eta 0:00:00 2025-09-07T13:48:37.4139885Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-09-07T13:48:37.4199587Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-09-07T13:48:38.8651509Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 158.2/158.2 MB 13.8 MB/s eta 0:00:00 2025-09-07T13:48:39.0433373Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-09-07T13:48:39.0511813Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-09-07T13:48:39.2203203Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 95.5 MB/s eta 0:00:00 2025-09-07T13:48:39.2760175Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-09-07T13:48:39.2801039Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-09-07T13:48:47.5135501Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 571.0/571.0 MB 1.8 MB/s eta 0:00:00 2025-09-07T13:48:48.4643427Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-09-07T13:48:48.4673576Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-09-07T13:48:56.4634122Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 393.1/393.1 MB 1.7 MB/s eta 0:00:00 2025-09-07T13:48:56.8447249Z Collecting nvidia-nccl-cu12==2.26.2 2025-09-07T13:48:56.8478005Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-09-07T13:48:59.0010083Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 201.3/201.3 MB 7.9 MB/s eta 0:00:00 2025-09-07T13:48:59.2130254Z Collecting nvidia-nvtx-cu12==12.6.77 2025-09-07T13:48:59.2164418Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-09-07T13:48:59.2232912Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 89.3/89.3 KB 15.5 MB/s eta 0:00:00 2025-09-07T13:48:59.2601500Z Collecting sympy>=1.13.3 2025-09-07T13:48:59.2629302Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-09-07T13:48:59.3121021Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/6.3 MB 133.5 MB/s eta 0:00:00 2025-09-07T13:48:59.3502552Z 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) 2025-09-07T13:48:59.3804078Z Collecting mpmath<1.4,>=1.1.0 2025-09-07T13:48:59.3832475Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-09-07T13:48:59.3953597Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 536.2/536.2 KB 51.0 MB/s eta 0:00:00 2025-09-07T13:48:59.5825045Z Collecting MarkupSafe>=2.0 2025-09-07T13:48:59.5852569Z Downloading MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20 kB) 2025-09-07T13:48:59.9028410Z 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 2025-09-07T13:49:05.0483264Z WARNING: The scripts proton and proton-viewer are installed in '/home/charlie/.local/bin' which is not on PATH. 2025-09-07T13:49:05.0484239Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T13:49:08.5777960Z WARNING: The script isympy is installed in '/home/charlie/.local/bin' which is not on PATH. 2025-09-07T13:49:08.5779226Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T13:49:44.8302481Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/charlie/.local/bin' which is not on PATH. 2025-09-07T13:49:44.8303358Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T13:49:45.7335864Z 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 2025-09-07T13:49:46.4041603Z + echo DEVICE_NAME= 2025-09-07T13:49:46.4042966Z + echo DEVICE_TYPE= 2025-09-07T13:49:46.4179150Z ##[group]Run set -eux 2025-09-07T13:49:46.4179375Z set -eux 2025-09-07T13:49:46.4179547Z  2025-09-07T13:49:46.4179721Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T13:49:46.4179989Z  echo "Missing github-token input" 2025-09-07T13:49:46.4180228Z  exit 1 2025-09-07T13:49:46.4180397Z fi 2025-09-07T13:49:46.4196071Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:49:46.4196379Z env: 2025-09-07T13:49:46.4196547Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:49:46.4196817Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:49:46.4197153Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:49:46.4197737Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:49:46.4198091Z DEVICE_NAME: 2025-09-07T13:49:46.4198257Z DEVICE_TYPE: 2025-09-07T13:49:46.4198642Z GITHUB_TOKEN: *** 2025-09-07T13:49:46.4198824Z ##[endgroup] 2025-09-07T13:49:46.4637006Z + [[ -z *** ]] 2025-09-07T13:49:46.5131105Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T13:49:46.5131442Z with: 2025-09-07T13:49:46.5131844Z github-token: *** 2025-09-07T13:49:46.5132021Z env: 2025-09-07T13:49:46.5132181Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:49:46.5132429Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:49:46.5132765Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:49:46.5133193Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:49:46.5133715Z DEVICE_NAME: 2025-09-07T13:49:46.5133880Z DEVICE_TYPE: 2025-09-07T13:49:46.5134039Z ##[endgroup] 2025-09-07T13:49:46.6051210Z ##[group]Run set -eux 2025-09-07T13:49:46.6051448Z set -eux 2025-09-07T13:49:46.6051618Z  2025-09-07T13:49:46.6051958Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T13:49:46.6067902Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:49:46.6068197Z env: 2025-09-07T13:49:46.6068356Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:49:46.6068597Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:49:46.6068915Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:49:46.6069321Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:49:46.6069665Z DEVICE_NAME: 2025-09-07T13:49:46.6069833Z DEVICE_TYPE: 2025-09-07T13:49:46.6070127Z GITHUB_TOKEN: *** 2025-09-07T13:49:46.6070319Z ##[endgroup] 2025-09-07T13:49:46.6522203Z + python3 /home/charlie/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525296438 i-0d3ed1ff3ccbeec77-1003 2025-09-07T13:49:47.7159374Z setting job-id=49775781847 2025-09-07T13:49:47.7159879Z setting job-name=test-weekly / test (inductor_huggingface_perf_cuda_h100, 5, 5, linux.aws.h100) 2025-09-07T13:49:47.7587129Z ##[group]Run set -eux 2025-09-07T13:49:47.7587540Z set -eux 2025-09-07T13:49:47.7587731Z  2025-09-07T13:49:47.7587910Z if [[ -n "" ]]; then 2025-09-07T13:49:47.7588132Z  source "" 2025-09-07T13:49:47.7588368Z fi 2025-09-07T13:49:47.7588536Z  2025-09-07T13:49:47.7588855Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T13:49:47.7589284Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T13:49:47.7589570Z  --repo "${REPO}" \ 2025-09-07T13:49:47.7589981Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T13:49:47.7590254Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T13:49:47.7590708Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T13:49:47.7591004Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T13:49:47.7591271Z  --job-id "${JOB_ID}" \ 2025-09-07T13:49:47.7591510Z  --job-name "${JOB_NAME}" 2025-09-07T13:49:47.7607039Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:49:47.7607481Z env: 2025-09-07T13:49:47.7607643Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:49:47.7607896Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:49:47.7608220Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:49:47.7621515Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:49:47.7621941Z DEVICE_NAME: 2025-09-07T13:49:47.7622123Z DEVICE_TYPE: 2025-09-07T13:49:47.7622286Z SCHEMA_VERSION: v3 2025-09-07T13:49:47.7622487Z REPO: pytorch/pytorch 2025-09-07T13:49:47.7622681Z HEAD_BRANCH: refs/heads/main 2025-09-07T13:49:47.7622917Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T13:49:47.7623164Z WORKFLOW_RUN_ID: 17525296438 2025-09-07T13:49:47.7623355Z RUN_ATTEMPT: 1 2025-09-07T13:49:47.7623516Z JOB_ID: 49775781847 2025-09-07T13:49:47.7623835Z JOB_NAME: test-weekly / test (inductor_huggingface_perf_cuda_h100, 5, 5, linux.aws.h100) 2025-09-07T13:49:47.7624176Z ##[endgroup] 2025-09-07T13:49:47.8028982Z + [[ -n '' ]] 2025-09-07T13:49:47.8030546Z + python3 /home/charlie/_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 49775781847 --job-name 'test-weekly / test (inductor_huggingface_perf_cuda_h100, 5, 5, linux.aws.h100)' 2025-09-07T13:49:47.8496417Z ##[group]Run set -eux 2025-09-07T13:49:47.8496630Z set -eux 2025-09-07T13:49:47.8496791Z  2025-09-07T13:49:47.8496957Z if [[ -n "" ]]; then 2025-09-07T13:49:47.8497155Z  source "" 2025-09-07T13:49:47.8497482Z fi 2025-09-07T13:49:47.8497637Z  2025-09-07T13:49:47.8497917Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T13:49:47.8512773Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:49:47.8513054Z env: 2025-09-07T13:49:47.8513218Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:49:47.8513463Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:49:47.8513787Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:49:47.8514211Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:49:47.8514596Z DEVICE_NAME: 2025-09-07T13:49:47.8514768Z DEVICE_TYPE: 2025-09-07T13:49:47.8514943Z ##[endgroup] 2025-09-07T13:49:47.8990411Z + [[ -n '' ]] 2025-09-07T13:49:47.8991047Z + python3 /home/charlie/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T13:49:48.6308728Z /home/charlie/.local/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-09-07T13:49:48.6309784Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-09-07T13:49:50.0948160Z ##[group]Run set -eux 2025-09-07T13:49:50.0948388Z set -eux 2025-09-07T13:49:50.0948568Z  2025-09-07T13:49:50.0948771Z # TODO (huydhn): Implement this part 2025-09-07T13:49:50.0949082Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T13:49:50.0964369Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:49:50.0964800Z env: 2025-09-07T13:49:50.0964967Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:49:50.0965204Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:49:50.0965695Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:49:50.0966123Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:49:50.0966480Z DEVICE_NAME: 2025-09-07T13:49:50.0966638Z DEVICE_TYPE: 2025-09-07T13:49:50.0966801Z ##[endgroup] 2025-09-07T13:49:50.1439088Z + echo 'dependencies={}' 2025-09-07T13:49:50.2629903Z ##[group]Run set -eux 2025-09-07T13:49:50.2630134Z set -eux 2025-09-07T13:49:50.2630312Z  2025-09-07T13:49:50.2630476Z if [[ -n "" ]]; then 2025-09-07T13:49:50.2630690Z  source "" 2025-09-07T13:49:50.2630877Z fi 2025-09-07T13:49:50.2631056Z  2025-09-07T13:49:50.2631258Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T13:49:50.2631624Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T13:49:50.2632026Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T13:49:50.2632350Z  exit 0 2025-09-07T13:49:50.2632520Z fi 2025-09-07T13:49:50.2632685Z  2025-09-07T13:49:50.2632871Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T13:49:50.2633261Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T13:49:50.2633715Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T13:49:50.2634054Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T13:49:50.2634339Z  --runners "${RUNNER_INFO}" \ 2025-09-07T13:49:50.2634613Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T13:49:50.2634877Z  --dry-run 2025-09-07T13:49:50.2635083Z else 2025-09-07T13:49:50.2635507Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T13:49:50.2635956Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T13:49:50.2636310Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T13:49:50.2636589Z  --runners "${RUNNER_INFO}" \ 2025-09-07T13:49:50.2636869Z  --dependencies "${DEPENDENCIES}" 2025-09-07T13:49:50.2637126Z fi 2025-09-07T13:49:50.2652472Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:49:50.2652755Z env: 2025-09-07T13:49:50.2652912Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:49:50.2653157Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:49:50.2653479Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:49:50.2653896Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:49:50.2654253Z DEVICE_NAME: 2025-09-07T13:49:50.2654412Z DEVICE_TYPE: 2025-09-07T13:49:50.2654604Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T13:49:50.2654846Z DRY_RUN: false 2025-09-07T13:49:50.2655867Z BENCHMARK_METADATA: {"timestamp": 1757252987, "schema_version": "v3", "name": "test-weekly / test (inductor_huggingface_perf_cuda_h100, 5, 5, linux.aws.h100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525296438, "run_attempt": 1, "job_id": 49775781847} 2025-09-07T13:49:50.2657160Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 192, "avail_mem_in_gb": 1999, "extra_info": {"hostname": "89c80c18edd5"}, "name": "cuda", "type": "NVIDIA H100 80GB HBM3", "gpu_count": 1, "avail_gpu_mem_in_gb": 79}] 2025-09-07T13:49:50.2657851Z DEPENDENCIES: {} 2025-09-07T13:49:50.2658031Z ##[endgroup] 2025-09-07T13:49:50.2692171Z + [[ -n '' ]] 2025-09-07T13:49:50.2692406Z + [[ ! -d test/test-reports ]] 2025-09-07T13:49:50.2692633Z + [[ false == \t\r\u\e ]] 2025-09-07T13:49:50.2695162Z + python3 /home/charlie/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1757252987, "schema_version": "v3", "name": "test-weekly / test (inductor_huggingface_perf_cuda_h100, 5, 5, linux.aws.h100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525296438, "run_attempt": 1, "job_id": 49775781847}' --runners '[{"cpu_info": "x86_64", "cpu_count": 192, "avail_mem_in_gb": 1999, "extra_info": {"hostname": "89c80c18edd5"}, "name": "cuda", "type": "NVIDIA H100 80GB HBM3", "gpu_count": 1, "avail_gpu_mem_in_gb": 79}]' --dependencies '{}' 2025-09-07T13:49:50.3965980Z 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/17525296438/49775781847/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:49:50.4392605Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T13:49:50.8013422Z 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/17525296438/49775781847/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T13:49:50.9070285Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:49:51.0169239Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json 2025-09-07T13:49:51.1038729Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T13:49:51.2270365Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T13:49:51.3374460Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance.json 2025-09-07T13:49:51.4352920Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance.json 2025-09-07T13:49:51.5550440Z INFO:root:Upload test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_export_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T13:49:51.6608178Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance.json 2025-09-07T13:49:51.7622931Z INFO:root:Upload test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T13:49:51.8586379Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T13:49:51.9480697Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T13:49:52.0475326Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_dynamic_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:49:52.1658328Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_dynamic_huggingface_amp_training_cuda_h100_performance.json 2025-09-07T13:49:52.2818091Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_max_autotune_huggingface_amp_training_cuda_h100_accuracy.json 2025-09-07T13:49:52.3823415Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T13:49:52.4778194Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json 2025-09-07T13:49:52.5769851Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T13:49:52.7018272Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T13:49:52.8179936Z 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/17525296438/49775781847/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T13:49:52.9107177Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T13:49:53.0144711Z 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/17525296438/49775781847/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:49:53.1350894Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T13:49:53.2242993Z 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/17525296438/49775781847/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:49:53.3125069Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_dynamic_huggingface_amp_training_cuda_h100_accuracy.json 2025-09-07T13:49:53.4115493Z 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/17525296438/49775781847/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:49:53.5164082Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T13:49:53.6400295Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T13:49:53.7695563Z 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/17525296438/49775781847/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:49:53.9696758Z 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/17525296438/49775781847/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:49:54.1052066Z 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/17525296438/49775781847/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:49:54.2596044Z 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/17525296438/49775781847/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:49:54.4162781Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance.json 2025-09-07T13:49:54.5250634Z 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/17525296438/49775781847/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:49:54.6468897Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_accuracy.json 2025-09-07T13:49:54.7477729Z 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/17525296438/49775781847/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:49:54.9089231Z INFO:root:Upload test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T13:49:55.0077106Z 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/17525296438/49775781847/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:49:55.1563984Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781847/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T13:49:55.2992475Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T13:49:55.2992826Z cat test/**/*_toprint.log || true 2025-09-07T13:49:55.3008204Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:49:55.3008494Z env: 2025-09-07T13:49:55.3008658Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:49:55.3008925Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:49:55.3009248Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:49:55.3009686Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:49:55.3010037Z DEVICE_NAME: 2025-09-07T13:49:55.3010202Z DEVICE_TYPE: 2025-09-07T13:49:55.3010355Z ##[endgroup] 2025-09-07T13:49:55.3570872Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T13:49:55.4441189Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T13:49:55.4441513Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T13:49:55.4456903Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:49:55.4457192Z env: 2025-09-07T13:49:55.4457508Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:49:55.4457753Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:49:55.4458082Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:49:55.4458638Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:49:55.4459008Z DEVICE_NAME: 2025-09-07T13:49:55.4459175Z DEVICE_TYPE: 2025-09-07T13:49:55.4459339Z MONITOR_SCRIPT_PID: 7876 2025-09-07T13:49:55.4459535Z ##[endgroup] 2025-09-07T13:49:55.4999305Z Prepare all required actions 2025-09-07T13:49:55.4999671Z Getting action download info 2025-09-07T13:49:55.7433548Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T13:49:56.2600737Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T13:49:57.6898511Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T13:49:57.6898774Z with: 2025-09-07T13:49:57.6899073Z file-suffix: test-inductor_huggingface_perf_cuda_h100-5-5-linux.aws.h100_49775781847 2025-09-07T13:49:57.6899440Z s3-bucket: gha-artifacts 2025-09-07T13:49:57.6899624Z env: 2025-09-07T13:49:57.6899787Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:49:57.6900029Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:49:57.6900360Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:49:57.6900805Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:49:57.6901161Z DEVICE_NAME: 2025-09-07T13:49:57.6901323Z DEVICE_TYPE: 2025-09-07T13:49:57.6901484Z ##[endgroup] 2025-09-07T13:49:57.7830430Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T13:49:57.7830786Z # Remove any previous test jsons if they exist 2025-09-07T13:49:57.7831081Z rm -f test-jsons-*.zip 2025-09-07T13:49:57.7831399Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T13:49:57.7846520Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:49:57.7846800Z env: 2025-09-07T13:49:57.7846963Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:49:57.7847206Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:49:57.7847700Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:49:57.7848264Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:49:57.7848624Z DEVICE_NAME: 2025-09-07T13:49:57.7848788Z DEVICE_TYPE: 2025-09-07T13:49:57.7849073Z FILE_SUFFIX: test-inductor_huggingface_perf_cuda_h100-5-5-linux.aws.h100_49775781847 2025-09-07T13:49:57.7849415Z ##[endgroup] 2025-09-07T13:49:57.8412151Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:49:57.8442565Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T13:49:57.8527050Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:49:57.8547843Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T13:49:57.8578675Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T13:49:57.8599074Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T13:49:57.8630052Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance.json (deflated 99%) 2025-09-07T13:49:57.8660957Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance.json (deflated 99%) 2025-09-07T13:49:57.8681685Z adding: test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T13:49:57.8712214Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance.json (deflated 99%) 2025-09-07T13:49:57.8732599Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T13:49:57.8753441Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T13:49:57.8773968Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T13:49:57.8871367Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:49:57.8901926Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance.json (deflated 99%) 2025-09-07T13:49:57.8919175Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T13:49:57.8950114Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T13:49:57.8966676Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T13:49:57.8997545Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T13:49:57.9018130Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T13:49:57.9038863Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T13:49:57.9059601Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T13:49:57.9157193Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:49:57.9187436Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T13:49:57.9282274Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:49:57.9298505Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T13:49:57.9380649Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:49:57.9411340Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T13:49:57.9432469Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T13:49:57.9508888Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:49:57.9607741Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:49:57.9700597Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:49:57.9794348Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:49:57.9824393Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance.json (deflated 99%) 2025-09-07T13:49:57.9905332Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:49:57.9925882Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T13:49:58.0039097Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:49:58.0069454Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T13:49:58.0151088Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:49:58.0180953Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T13:49:58.0671362Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T13:49:58.0671740Z # Remove any previous test reports if they exist 2025-09-07T13:49:58.0672043Z rm -f test-reports-*.zip 2025-09-07T13:49:58.0672406Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T13:49:58.0687953Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:49:58.0688249Z env: 2025-09-07T13:49:58.0688424Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:49:58.0688672Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:49:58.0689001Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:49:58.0689415Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:49:58.0689772Z DEVICE_NAME: 2025-09-07T13:49:58.0689942Z DEVICE_TYPE: 2025-09-07T13:49:58.0690237Z FILE_SUFFIX: test-inductor_huggingface_perf_cuda_h100-5-5-linux.aws.h100_49775781847 2025-09-07T13:49:58.0690577Z ##[endgroup] 2025-09-07T13:49:58.1197226Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T13:49:58.1199259Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T13:49:58.1201295Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T13:49:58.1202172Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance.csv (deflated 50%) 2025-09-07T13:49:58.1202857Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 51%) 2025-09-07T13:49:58.1203552Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 57%) 2025-09-07T13:49:58.1204268Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 57%) 2025-09-07T13:49:58.1204972Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance.csv (deflated 51%) 2025-09-07T13:49:58.1205654Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 58%) 2025-09-07T13:49:58.1206384Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T13:49:58.1208239Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T13:49:58.1209559Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T13:49:58.1210297Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 58%) 2025-09-07T13:49:58.1210941Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 68%) 2025-09-07T13:49:58.1211572Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T13:49:58.1212350Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 58%) 2025-09-07T13:49:58.1213416Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T13:49:58.1214108Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.csv (deflated 56%) 2025-09-07T13:49:58.1216159Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T13:49:58.1216959Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 51%) 2025-09-07T13:49:58.1217784Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_accuracy.csv (deflated 55%) 2025-09-07T13:49:58.1219321Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 52%) 2025-09-07T13:49:58.1220035Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T13:49:58.1220666Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance.csv (deflated 50%) 2025-09-07T13:49:58.1221337Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 53%) 2025-09-07T13:49:58.1221976Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance.csv (deflated 50%) 2025-09-07T13:49:58.1222622Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 58%) 2025-09-07T13:49:58.1223326Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 52%) 2025-09-07T13:49:58.1224052Z adding: test/test-reports/inductor_cudagraphs_low_precision_huggingface_quant_inference_cuda_h100_accuracy.csv (deflated 58%) 2025-09-07T13:49:58.1224844Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 51%) 2025-09-07T13:49:58.1225556Z adding: test/test-reports/inductor_cudagraphs_low_precision_huggingface_quant_inference_cuda_h100_performance.csv (deflated 51%) 2025-09-07T13:49:58.1226240Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 51%) 2025-09-07T13:49:58.1226940Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T13:49:58.1227797Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 52%) 2025-09-07T13:49:58.1228870Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 53%) 2025-09-07T13:49:58.1230894Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T13:49:58.1231584Z adding: test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 59%) 2025-09-07T13:49:58.1233119Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T13:49:58.1233895Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 51%) 2025-09-07T13:49:58.1234560Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T13:49:58.1235209Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance.csv (deflated 50%) 2025-09-07T13:49:58.1235911Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 58%) 2025-09-07T13:49:58.1615236Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T13:49:58.1615739Z # Remove any previous usage logs if they exist 2025-09-07T13:49:58.1616300Z rm -f logs-*.zip 2025-09-07T13:49:58.1616683Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T13:49:58.1617215Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T13:49:58.1633517Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:49:58.1633811Z env: 2025-09-07T13:49:58.1633995Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:49:58.1634273Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:49:58.1634623Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:49:58.1635032Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:49:58.1635402Z DEVICE_NAME: 2025-09-07T13:49:58.1635571Z DEVICE_TYPE: 2025-09-07T13:49:58.1635865Z FILE_SUFFIX: test-inductor_huggingface_perf_cuda_h100-5-5-linux.aws.h100_49775781847 2025-09-07T13:49:58.1636197Z ##[endgroup] 2025-09-07T13:49:58.2255154Z adding: usage_log.txt (deflated 91%) 2025-09-07T13:49:58.2272953Z 2025-09-07T13:49:58.2273257Z zip error: Nothing to do! (logs-test-inductor_huggingface_perf_cuda_h100-5-5-linux.aws.h100_49775781847.zip) 2025-09-07T13:49:58.3026488Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T13:49:58.3026917Z # Remove any previous debugging artifacts if they exist 2025-09-07T13:49:58.3027238Z rm -f debug-*.zip 2025-09-07T13:49:58.3027631Z if [ -d 'test/debug' ]; then 2025-09-07T13:49:58.3027921Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T13:49:58.3028195Z fi 2025-09-07T13:49:58.3042579Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:49:58.3042879Z env: 2025-09-07T13:49:58.3043046Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:49:58.3043419Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:49:58.3043770Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:49:58.3044197Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:49:58.3044550Z DEVICE_NAME: 2025-09-07T13:49:58.3044723Z DEVICE_TYPE: 2025-09-07T13:49:58.3045012Z FILE_SUFFIX: test-inductor_huggingface_perf_cuda_h100-5-5-linux.aws.h100_49775781847 2025-09-07T13:49:58.3045357Z ##[endgroup] 2025-09-07T13:49:58.4406356Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T13:49:58.4406599Z with: 2025-09-07T13:49:58.4406770Z s3-bucket: gha-artifacts 2025-09-07T13:49:58.4407020Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T13:49:58.4407432Z retention-days: 14 2025-09-07T13:49:58.4407628Z if-no-files-found: warn 2025-09-07T13:49:58.4407824Z path: test-jsons-*.zip 2025-09-07T13:49:58.4408019Z name: artifact 2025-09-07T13:49:58.4408190Z region: us-east-1 2025-09-07T13:49:58.4408359Z env: 2025-09-07T13:49:58.4408510Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:49:58.4408769Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:49:58.4409109Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:49:58.4409544Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:49:58.4409897Z DEVICE_NAME: 2025-09-07T13:49:58.4410066Z DEVICE_TYPE: 2025-09-07T13:49:58.4410227Z ##[endgroup] 2025-09-07T13:49:58.7430539Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T13:49:58.7430883Z With the provided path, there will be 1 file uploaded 2025-09-07T13:49:58.7431227Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T13:49:58.7439230Z Starting upload of test-jsons-test-inductor_huggingface_perf_cuda_h100-5-5-linux.aws.h100_49775781847.zip 2025-09-07T13:49:58.8839232Z Finished upload of test-jsons-test-inductor_huggingface_perf_cuda_h100-5-5-linux.aws.h100_49775781847.zip 2025-09-07T13:49:58.9090870Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T13:49:58.9091134Z with: 2025-09-07T13:49:58.9091314Z s3-bucket: gha-artifacts 2025-09-07T13:49:58.9091815Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T13:49:58.9092083Z retention-days: 14 2025-09-07T13:49:58.9092284Z if-no-files-found: error 2025-09-07T13:49:58.9092499Z path: test-reports-*.zip 2025-09-07T13:49:58.9092704Z name: artifact 2025-09-07T13:49:58.9092871Z region: us-east-1 2025-09-07T13:49:58.9093046Z env: 2025-09-07T13:49:58.9093209Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:49:58.9093461Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:49:58.9093788Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:49:58.9094217Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:49:58.9094597Z DEVICE_NAME: 2025-09-07T13:49:58.9094776Z DEVICE_TYPE: 2025-09-07T13:49:58.9095039Z ##[endgroup] 2025-09-07T13:49:59.2077657Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T13:49:59.2078035Z With the provided path, there will be 1 file uploaded 2025-09-07T13:49:59.2078404Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T13:49:59.2086172Z Starting upload of test-reports-test-inductor_huggingface_perf_cuda_h100-5-5-linux.aws.h100_49775781847.zip 2025-09-07T13:49:59.3342720Z Finished upload of test-reports-test-inductor_huggingface_perf_cuda_h100-5-5-linux.aws.h100_49775781847.zip 2025-09-07T13:49:59.3895734Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T13:49:59.3895993Z with: 2025-09-07T13:49:59.3896159Z s3-bucket: gha-artifacts 2025-09-07T13:49:59.3896416Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T13:49:59.3896672Z retention-days: 14 2025-09-07T13:49:59.3896859Z if-no-files-found: ignore 2025-09-07T13:49:59.3897075Z path: logs-*.zip 2025-09-07T13:49:59.3897249Z name: artifact 2025-09-07T13:49:59.3897748Z region: us-east-1 2025-09-07T13:49:59.3897921Z env: 2025-09-07T13:49:59.3898077Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:49:59.3898349Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:49:59.3898700Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:49:59.3899126Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:49:59.3899496Z DEVICE_NAME: 2025-09-07T13:49:59.3899664Z DEVICE_TYPE: 2025-09-07T13:49:59.3899831Z ##[endgroup] 2025-09-07T13:49:59.6923578Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T13:49:59.6923978Z With the provided path, there will be 1 file uploaded 2025-09-07T13:49:59.6924372Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T13:49:59.6932850Z Starting upload of logs-test-inductor_huggingface_perf_cuda_h100-5-5-linux.aws.h100_49775781847.zip 2025-09-07T13:49:59.8286123Z Finished upload of logs-test-inductor_huggingface_perf_cuda_h100-5-5-linux.aws.h100_49775781847.zip 2025-09-07T13:49:59.8590476Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T13:49:59.8590734Z with: 2025-09-07T13:49:59.8590917Z s3-bucket: gha-artifacts 2025-09-07T13:49:59.8591176Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T13:49:59.8591423Z retention-days: 14 2025-09-07T13:49:59.8591633Z if-no-files-found: ignore 2025-09-07T13:49:59.8591831Z path: debug-*.zip 2025-09-07T13:49:59.8591998Z name: artifact 2025-09-07T13:49:59.8592168Z region: us-east-1 2025-09-07T13:49:59.8592333Z env: 2025-09-07T13:49:59.8592490Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:49:59.8592729Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:49:59.8593060Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:49:59.8593479Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:49:59.8593973Z DEVICE_NAME: 2025-09-07T13:49:59.8594132Z DEVICE_TYPE: 2025-09-07T13:49:59.8594319Z ##[endgroup] 2025-09-07T13:50:00.1464615Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T13:50:00.1951782Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T13:50:00.1952105Z # shellcheck disable=SC2156 2025-09-07T13:50:00.1952563Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T13:50:00.1968720Z shell: /usr/bin/bash -e {0} 2025-09-07T13:50:00.1968934Z env: 2025-09-07T13:50:00.1969096Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:50:00.1969357Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:50:00.1969679Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:50:00.1970104Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:50:00.1970455Z DEVICE_NAME: 2025-09-07T13:50:00.1970649Z DEVICE_TYPE: 2025-09-07T13:50:00.1970811Z ##[endgroup] 2025-09-07T13:50:00.9636740Z Prepare all required actions 2025-09-07T13:50:00.9637102Z Getting action download info 2025-09-07T13:50:01.1098595Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T13:50:01.1098880Z with: 2025-09-07T13:50:01.1099053Z job_id: 49775781847 2025-09-07T13:50:01.1099377Z job_name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 5, 5, linux.aws.h100) 2025-09-07T13:50:01.1099771Z workflow_name: inductor-perf-nightly-h100 2025-09-07T13:50:01.1100035Z workflow_run_id: 17525296438 2025-09-07T13:50:01.1100260Z workflow_attempt: 1 2025-09-07T13:50:01.1100452Z env: 2025-09-07T13:50:01.1100620Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:50:01.1100887Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:50:01.1101252Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:50:01.1101726Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:50:01.1102139Z DEVICE_NAME: 2025-09-07T13:50:01.1102503Z DEVICE_TYPE: 2025-09-07T13:50:01.1102681Z ##[endgroup] 2025-09-07T13:50:01.3583003Z ##[group]Run echo "workflow_id: 17525296438" 2025-09-07T13:50:01.3583295Z echo "workflow_id: 17525296438" 2025-09-07T13:50:01.3583558Z echo "workflow_attempt: 1" 2025-09-07T13:50:01.3597138Z echo "workflow_Name: inductor-perf-nightly-h100" 2025-09-07T13:50:01.3597653Z echo "job_id: 49775781847" 2025-09-07T13:50:01.3598046Z echo "job_name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 5, 5, linux.aws.h100)" 2025-09-07T13:50:01.3598436Z echo "artifact_prefix: " 2025-09-07T13:50:01.3598662Z python3 --version 2025-09-07T13:50:01.3613219Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:50:01.3613513Z env: 2025-09-07T13:50:01.3613684Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:50:01.3613923Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:50:01.3614267Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:50:01.3614692Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:50:01.3615144Z DEVICE_NAME: 2025-09-07T13:50:01.3615304Z DEVICE_TYPE: 2025-09-07T13:50:01.3615462Z ##[endgroup] 2025-09-07T13:50:01.4011412Z workflow_id: 17525296438 2025-09-07T13:50:01.4011665Z workflow_attempt: 1 2025-09-07T13:50:01.4011897Z workflow_Name: inductor-perf-nightly-h100 2025-09-07T13:50:01.4012181Z job_id: 49775781847 2025-09-07T13:50:01.4012533Z job_name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 5, 5, linux.aws.h100) 2025-09-07T13:50:01.4012928Z artifact_prefix: 2025-09-07T13:50:01.4027984Z Python 3.10.12 2025-09-07T13:50:01.4316936Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T13:50:01.4317172Z with: 2025-09-07T13:50:01.4317534Z shell: bash 2025-09-07T13:50:01.4317700Z timeout_minutes: 5 2025-09-07T13:50:01.4318029Z max_attempts: 5 2025-09-07T13:50:01.4318213Z retry_wait_seconds: 30 2025-09-07T13:50:01.4318652Z 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 2025-09-07T13:50:01.4319096Z polling_interval_seconds: 1 2025-09-07T13:50:01.4319310Z warning_on_retry: true 2025-09-07T13:50:01.4319513Z continue_on_error: false 2025-09-07T13:50:01.4319709Z env: 2025-09-07T13:50:01.4319864Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:50:01.4320112Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:50:01.4320468Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:50:01.4320914Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:50:01.4321283Z DEVICE_NAME: 2025-09-07T13:50:01.4321476Z DEVICE_TYPE: 2025-09-07T13:50:01.4321645Z ##[endgroup] 2025-09-07T13:50:01.7756759Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T13:50:02.3620522Z Collecting python-dateutil==2.8.2 2025-09-07T13:50:02.3961406Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T13:50:02.8046923Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 247.7/247.7 KB 584.8 kB/s eta 0:00:00 2025-09-07T13:50:03.8082082Z Collecting boto3==1.35.42 2025-09-07T13:50:03.8112773Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T13:50:04.1456728Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.2/139.2 KB 388.1 kB/s eta 0:00:00 2025-09-07T13:50:04.7441602Z Collecting pandas==2.1.3 2025-09-07T13:50:04.7479573Z Downloading pandas-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T13:50:05.1192604Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.3/12.3 MB 28.5 MB/s eta 0:00:00 2025-09-07T13:50:05.1598988Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/charlie/.local/lib/python3.10/site-packages (0.6.7) 2025-09-07T13:50:05.1613519Z Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil==2.8.2) (1.16.0) 2025-09-07T13:50:05.1657435Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/charlie/.local/lib/python3.10/site-packages (from boto3==1.35.42) (0.10.4) 2025-09-07T13:50:05.1662340Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/charlie/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.35.99) 2025-09-07T13:50:05.1666255Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /home/charlie/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.0.1) 2025-09-07T13:50:05.2629141Z Collecting tzdata>=2022.1 2025-09-07T13:50:05.2666694Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T13:50:05.2913015Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 347.8/347.8 KB 15.1 MB/s eta 0:00:00 2025-09-07T13:50:05.6776516Z Collecting numpy<2,>=1.22.4 2025-09-07T13:50:05.6804722Z Downloading numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T13:50:06.4635062Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 18.2/18.2 MB 13.7 MB/s eta 0:00:00 2025-09-07T13:50:06.8853933Z Collecting pytz>=2020.1 2025-09-07T13:50:06.9651941Z Downloading 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boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 pytz-2025.2 tzdata-2025.2 2025-09-07T13:50:16.5120749Z Command completed after 1 attempt(s). 2025-09-07T13:50:16.5281729Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T13:50:16.5284350Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T13:50:16.5284768Z  --workflow-run-id "17525296438" \ 2025-09-07T13:50:16.5285091Z  --workflow-name "inductor-perf-nightly-h100" \ 2025-09-07T13:50:16.5285412Z  --workflow-run-attempt "1" \ 2025-09-07T13:50:16.5285658Z  --job-id "49775781847" \ 2025-09-07T13:50:16.5286050Z  --job-name "test-weekly / test (inductor_huggingface_perf_cuda_h100, 5, 5, linux.aws.h100)" \ 2025-09-07T13:50:16.5286428Z  --local-path "" \ 2025-09-07T13:50:16.5286666Z  --artifact-prefix "" 2025-09-07T13:50:16.5302247Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:50:16.5302555Z env: 2025-09-07T13:50:16.5302727Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:50:16.5302976Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:50:16.5303300Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T13:50:16.5303708Z DOCKER_CONTAINER_ID: 51b8384592ecb36e8701c9339e006eba4919bec64af84c9dcfc9c83afed17a5e 2025-09-07T13:50:16.5304056Z DEVICE_NAME: 2025-09-07T13:50:16.5304216Z DEVICE_TYPE: 2025-09-07T13:50:16.5304372Z ##[endgroup] 2025-09-07T13:50:18.8380191Z repo: pytorch/pytorch 2025-09-07T13:50:18.8380531Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T13:50:18.8381089Z Downloading logs-test-inductor_huggingface_perf_cuda_h100-5-5-linux.aws.h100_49775781847.zip 2025-09-07T13:50:18.8381862Z extracting usage_log.txt from zip file logs-test-inductor_huggingface_perf_cuda_h100-5-5-linux.aws.h100_49775781847.zip 2025-09-07T13:50:18.8382466Z Converted Log Model: UtilizationMetadata: 2025-09-07T13:50:18.8383809Z UtilizationMetadata(level='metadata', workflow_id='17525296438', job_id='49775781847', workflow_name='inductor-perf-nightly-h100', job_name='test-weekly / test (inductor_huggingface_perf_cuda_h100, 5, 5, linux.aws.h100)', usage_collect_interval=4.0, data_model_version=1.5, start_at=1757239340, gpu_count=1, cpu_count=192, gpu_type='pynvml', error=None) 2025-09-07T13:50:18.8385169Z [Db Segments] detected pytest cmd: 3, generated segments: 3 2025-09-07T13:50:18.8385541Z [db model] Peek db timeseries 2025-09-07T13:50:18.8385814Z :{ 2025-09-07T13:50:18.8386037Z "created_at": 1757253018, 2025-09-07T13:50:18.8386277Z "type": "utilization", 2025-09-07T13:50:18.8386482Z "tags": [ 2025-09-07T13:50:18.8386650Z "record" 2025-09-07T13:50:18.8386821Z ], 2025-09-07T13:50:18.8386981Z "time_stamp": 1757239340, 2025-09-07T13:50:18.8387203Z "repo": "pytorch/pytorch", 2025-09-07T13:50:18.8388105Z "workflow_id": 17525296438, 2025-09-07T13:50:18.8388341Z "run_attempt": 1, 2025-09-07T13:50:18.8388535Z "job_id": 49775781847, 2025-09-07T13:50:18.8388799Z "workflow_name": "inductor-perf-nightly-h100", 2025-09-07T13:50:18.8389246Z "job_name": "test-weekly / test (inductor_huggingface_perf_cuda_h100, 5, 5, linux.aws.h100)", 2025-09-07T13:50:18.8389640Z "json_data": "{}" 2025-09-07T13:50:18.8389816Z } 2025-09-07T13:50:18.8390229Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525296438/1/49775781847/metadata 2025-09-07T13:50:18.8390970Z Done! 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'third_party/FXdiv' 2025-09-07T13:50:19.5230420Z http.https://github.com/.extraheader 2025-09-07T13:50:19.5265032Z Entering 'third_party/NNPACK' 2025-09-07T13:50:19.5293651Z http.https://github.com/.extraheader 2025-09-07T13:50:19.5329540Z Entering 'third_party/NVTX' 2025-09-07T13:50:19.5356567Z http.https://github.com/.extraheader 2025-09-07T13:50:19.5393605Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T13:50:19.5421813Z http.https://github.com/.extraheader 2025-09-07T13:50:19.5457494Z Entering 'third_party/XNNPACK' 2025-09-07T13:50:19.5484847Z http.https://github.com/.extraheader 2025-09-07T13:50:19.5535380Z Entering 'third_party/aiter' 2025-09-07T13:50:19.5563356Z http.https://github.com/.extraheader 2025-09-07T13:50:19.5599264Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T13:50:19.5626290Z http.https://github.com/.extraheader 2025-09-07T13:50:19.5671285Z Entering 'third_party/benchmark' 2025-09-07T13:50:19.5699894Z http.https://github.com/.extraheader 2025-09-07T13:50:19.5735556Z Entering 'third_party/composable_kernel' 2025-09-07T13:50:19.5762980Z http.https://github.com/.extraheader 2025-09-07T13:50:19.5805739Z Entering 'third_party/cpp-httplib' 2025-09-07T13:50:19.5832889Z http.https://github.com/.extraheader 2025-09-07T13:50:19.5868310Z Entering 'third_party/cpuinfo' 2025-09-07T13:50:19.5895145Z http.https://github.com/.extraheader 2025-09-07T13:50:19.5931093Z Entering 'third_party/cudnn_frontend' 2025-09-07T13:50:19.5958835Z http.https://github.com/.extraheader 2025-09-07T13:50:19.5993933Z Entering 'third_party/cutlass' 2025-09-07T13:50:19.6021024Z http.https://github.com/.extraheader 2025-09-07T13:50:19.6064465Z Entering 'third_party/fbgemm' 2025-09-07T13:50:19.6092328Z http.https://github.com/.extraheader 2025-09-07T13:50:19.6130147Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T13:50:19.6156700Z http.https://github.com/.extraheader 2025-09-07T13:50:19.6191166Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T13:50:19.6217166Z http.https://github.com/.extraheader 2025-09-07T13:50:19.6260677Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T13:50:19.6286934Z http.https://github.com/.extraheader 2025-09-07T13:50:19.6322948Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T13:50:19.6348807Z http.https://github.com/.extraheader 2025-09-07T13:50:19.6392324Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T13:50:19.6418771Z http.https://github.com/.extraheader 2025-09-07T13:50:19.6453220Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T13:50:19.6479546Z http.https://github.com/.extraheader 2025-09-07T13:50:19.6515322Z Entering 'third_party/fbgemm/external/json' 2025-09-07T13:50:19.6541481Z http.https://github.com/.extraheader 2025-09-07T13:50:19.6582793Z Entering 'third_party/flash-attention' 2025-09-07T13:50:19.6610771Z http.https://github.com/.extraheader 2025-09-07T13:50:19.6646359Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T13:50:19.6672201Z http.https://github.com/.extraheader 2025-09-07T13:50:19.6713922Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T13:50:19.6739562Z http.https://github.com/.extraheader 2025-09-07T13:50:19.6784409Z Entering 'third_party/flatbuffers' 2025-09-07T13:50:19.6811985Z http.https://github.com/.extraheader 2025-09-07T13:50:19.6849915Z Entering 'third_party/fmt' 2025-09-07T13:50:19.6877242Z http.https://github.com/.extraheader 2025-09-07T13:50:19.6912588Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T13:50:19.6940711Z http.https://github.com/.extraheader 2025-09-07T13:50:19.6977074Z Entering 'third_party/gloo' 2025-09-07T13:50:19.7004564Z http.https://github.com/.extraheader 2025-09-07T13:50:19.7039438Z Entering 'third_party/googletest' 2025-09-07T13:50:19.7066538Z http.https://github.com/.extraheader 2025-09-07T13:50:19.7102454Z Entering 'third_party/ideep' 2025-09-07T13:50:19.7129654Z http.https://github.com/.extraheader 2025-09-07T13:50:19.7163361Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T13:50:19.7190454Z http.https://github.com/.extraheader 2025-09-07T13:50:19.7234183Z Entering 'third_party/ittapi' 2025-09-07T13:50:19.7261901Z http.https://github.com/.extraheader 2025-09-07T13:50:19.7297017Z Entering 'third_party/kineto' 2025-09-07T13:50:19.7324257Z http.https://github.com/.extraheader 2025-09-07T13:50:19.7358535Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T13:50:19.7384908Z http.https://github.com/.extraheader 2025-09-07T13:50:19.7420199Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T13:50:19.7446095Z http.https://github.com/.extraheader 2025-09-07T13:50:19.7482849Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T13:50:19.7509217Z http.https://github.com/.extraheader 2025-09-07T13:50:19.7543682Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T13:50:19.7570093Z http.https://github.com/.extraheader 2025-09-07T13:50:19.7606033Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T13:50:19.7631925Z http.https://github.com/.extraheader 2025-09-07T13:50:19.7666512Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T13:50:19.7693217Z http.https://github.com/.extraheader 2025-09-07T13:50:19.7731640Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T13:50:19.7757872Z http.https://github.com/.extraheader 2025-09-07T13:50:19.7792490Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T13:50:19.7819241Z http.https://github.com/.extraheader 2025-09-07T13:50:19.7854743Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T13:50:19.7881684Z http.https://github.com/.extraheader 2025-09-07T13:50:19.7917142Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T13:50:19.7943975Z http.https://github.com/.extraheader 2025-09-07T13:50:19.7981058Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T13:50:19.8007649Z http.https://github.com/.extraheader 2025-09-07T13:50:19.8043021Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T13:50:19.8069058Z http.https://github.com/.extraheader 2025-09-07T13:50:19.8106670Z Entering 'third_party/kleidiai' 2025-09-07T13:50:19.8135506Z http.https://github.com/.extraheader 2025-09-07T13:50:19.8171899Z Entering 'third_party/mimalloc' 2025-09-07T13:50:19.8199535Z http.https://github.com/.extraheader 2025-09-07T13:50:19.8246127Z Entering 'third_party/nlohmann' 2025-09-07T13:50:19.8263524Z http.https://github.com/.extraheader 2025-09-07T13:50:19.8301190Z Entering 'third_party/onnx' 2025-09-07T13:50:19.8329782Z http.https://github.com/.extraheader 2025-09-07T13:50:19.8381364Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T13:50:19.8408483Z http.https://github.com/.extraheader 2025-09-07T13:50:19.8449427Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T13:50:19.8478131Z http.https://github.com/.extraheader 2025-09-07T13:50:19.8515201Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T13:50:19.8541537Z http.https://github.com/.extraheader 2025-09-07T13:50:19.8576429Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T13:50:19.8602029Z http.https://github.com/.extraheader 2025-09-07T13:50:19.8637643Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T13:50:19.8664059Z http.https://github.com/.extraheader 2025-09-07T13:50:19.8698215Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T13:50:19.8724387Z http.https://github.com/.extraheader 2025-09-07T13:50:19.8760373Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T13:50:19.8786323Z http.https://github.com/.extraheader 2025-09-07T13:50:19.8821777Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T13:50:19.8847497Z http.https://github.com/.extraheader 2025-09-07T13:50:19.8881972Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T13:50:19.8907932Z http.https://github.com/.extraheader 2025-09-07T13:50:19.8941836Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T13:50:19.8967692Z http.https://github.com/.extraheader 2025-09-07T13:50:19.9006122Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T13:50:19.9032263Z http.https://github.com/.extraheader 2025-09-07T13:50:19.9070420Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T13:50:19.9096377Z http.https://github.com/.extraheader 2025-09-07T13:50:19.9150554Z Entering 'third_party/pocketfft' 2025-09-07T13:50:19.9178254Z http.https://github.com/.extraheader 2025-09-07T13:50:19.9212913Z Entering 'third_party/protobuf' 2025-09-07T13:50:19.9240358Z http.https://github.com/.extraheader 2025-09-07T13:50:19.9276985Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T13:50:19.9303135Z http.https://github.com/.extraheader 2025-09-07T13:50:19.9339070Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T13:50:19.9365427Z http.https://github.com/.extraheader 2025-09-07T13:50:19.9402986Z Entering 'third_party/psimd' 2025-09-07T13:50:19.9430987Z http.https://github.com/.extraheader 2025-09-07T13:50:19.9466102Z Entering 'third_party/pthreadpool' 2025-09-07T13:50:19.9493286Z http.https://github.com/.extraheader 2025-09-07T13:50:19.9528167Z Entering 'third_party/pybind11' 2025-09-07T13:50:19.9555730Z http.https://github.com/.extraheader 2025-09-07T13:50:19.9592844Z Entering 'third_party/python-peachpy' 2025-09-07T13:50:19.9620933Z http.https://github.com/.extraheader 2025-09-07T13:50:19.9655773Z Entering 'third_party/sleef' 2025-09-07T13:50:19.9682961Z http.https://github.com/.extraheader 2025-09-07T13:50:19.9718389Z Entering 'third_party/tensorpipe' 2025-09-07T13:50:19.9746553Z http.https://github.com/.extraheader 2025-09-07T13:50:19.9781656Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T13:50:19.9807502Z http.https://github.com/.extraheader 2025-09-07T13:50:19.9842603Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T13:50:19.9868389Z http.https://github.com/.extraheader 2025-09-07T13:50:19.9903112Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T13:50:19.9928742Z http.https://github.com/.extraheader 2025-09-07T13:50:19.9963395Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T13:50:19.9989347Z http.https://github.com/.extraheader 2025-09-07T13:50:20.0023349Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T13:50:20.0049561Z http.https://github.com/.extraheader 2025-09-07T13:50:20.0222122Z Post job cleanup. 2025-09-07T13:50:20.1133549Z [command]/usr/bin/git version 2025-09-07T13:50:20.1169753Z git version 2.51.0 2025-09-07T13:50:20.1208570Z Temporarily overriding HOME='/home/charlie/_work/_temp/02e8694a-8c7d-4919-b581-62ad56ec544a' before making global git config changes 2025-09-07T13:50:20.1209251Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T13:50:20.1213097Z [command]/usr/bin/git config --global --add safe.directory /home/charlie/_work/pytorch/pytorch 2025-09-07T13:50:20.1247980Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T13:50:20.1289819Z [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' || :" 2025-09-07T13:50:20.1552577Z Entering 'android/libs/fbjni' 2025-09-07T13:50:20.1602692Z Entering 'third_party/FP16' 2025-09-07T13:50:20.1652118Z Entering 'third_party/FXdiv' 2025-09-07T13:50:20.1700421Z Entering 'third_party/NNPACK' 2025-09-07T13:50:20.1749708Z Entering 'third_party/NVTX' 2025-09-07T13:50:20.1799248Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T13:50:20.1848748Z Entering 'third_party/XNNPACK' 2025-09-07T13:50:20.1913505Z Entering 'third_party/aiter' 2025-09-07T13:50:20.1964189Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T13:50:20.2020802Z Entering 'third_party/benchmark' 2025-09-07T13:50:20.2070686Z Entering 'third_party/composable_kernel' 2025-09-07T13:50:20.2128291Z Entering 'third_party/cpp-httplib' 2025-09-07T13:50:20.2176648Z Entering 'third_party/cpuinfo' 2025-09-07T13:50:20.2225294Z Entering 'third_party/cudnn_frontend' 2025-09-07T13:50:20.2274782Z Entering 'third_party/cutlass' 2025-09-07T13:50:20.2330957Z Entering 'third_party/fbgemm' 2025-09-07T13:50:20.2381724Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T13:50:20.2430061Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T13:50:20.2482672Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T13:50:20.2529156Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T13:50:20.2585848Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T13:50:20.2630698Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T13:50:20.2675619Z Entering 'third_party/fbgemm/external/json' 2025-09-07T13:50:20.2725050Z Entering 'third_party/flash-attention' 2025-09-07T13:50:20.2773774Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T13:50:20.2829639Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T13:50:20.2885994Z Entering 'third_party/flatbuffers' 2025-09-07T13:50:20.2938071Z Entering 'third_party/fmt' 2025-09-07T13:50:20.2987726Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T13:50:20.3036630Z Entering 'third_party/gloo' 2025-09-07T13:50:20.3085799Z Entering 'third_party/googletest' 2025-09-07T13:50:20.3135987Z Entering 'third_party/ideep' 2025-09-07T13:50:20.3183789Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T13:50:20.3239084Z Entering 'third_party/ittapi' 2025-09-07T13:50:20.3287757Z Entering 'third_party/kineto' 2025-09-07T13:50:20.3335982Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T13:50:20.3382458Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T13:50:20.3430578Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T13:50:20.3476829Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T13:50:20.3522348Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T13:50:20.3566912Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T13:50:20.3618232Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T13:50:20.3664952Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T13:50:20.3712240Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T13:50:20.3760970Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T13:50:20.3810199Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T13:50:20.3857537Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T13:50:20.3905523Z Entering 'third_party/kleidiai' 2025-09-07T13:50:20.3954842Z Entering 'third_party/mimalloc' 2025-09-07T13:50:20.4004064Z Entering 'third_party/nlohmann' 2025-09-07T13:50:20.4054354Z Entering 'third_party/onnx' 2025-09-07T13:50:20.4118699Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T13:50:20.4171025Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T13:50:20.4221407Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T13:50:20.4267873Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T13:50:20.4313506Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T13:50:20.4360531Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T13:50:20.4408569Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T13:50:20.4453836Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T13:50:20.4499351Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T13:50:20.4542678Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T13:50:20.4591068Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T13:50:20.4639821Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T13:50:20.4709538Z Entering 'third_party/pocketfft' 2025-09-07T13:50:20.4758063Z Entering 'third_party/protobuf' 2025-09-07T13:50:20.4807880Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T13:50:20.4854392Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T13:50:20.4902749Z Entering 'third_party/psimd' 2025-09-07T13:50:20.4952396Z Entering 'third_party/pthreadpool' 2025-09-07T13:50:20.5000886Z Entering 'third_party/pybind11' 2025-09-07T13:50:20.5050856Z Entering 'third_party/python-peachpy' 2025-09-07T13:50:20.5099933Z Entering 'third_party/sleef' 2025-09-07T13:50:20.5149375Z Entering 'third_party/tensorpipe' 2025-09-07T13:50:20.5197576Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T13:50:20.5242659Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T13:50:20.5287742Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T13:50:20.5333549Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T13:50:20.5377905Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T13:50:20.5447704Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T13:50:20.5480617Z [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' || :" 2025-09-07T13:50:20.5739773Z Entering 'android/libs/fbjni' 2025-09-07T13:50:20.5788244Z Entering 'third_party/FP16' 2025-09-07T13:50:20.5835998Z Entering 'third_party/FXdiv' 2025-09-07T13:50:20.5884306Z Entering 'third_party/NNPACK' 2025-09-07T13:50:20.5932908Z Entering 'third_party/NVTX' 2025-09-07T13:50:20.5982049Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T13:50:20.6029908Z Entering 'third_party/XNNPACK' 2025-09-07T13:50:20.6093137Z Entering 'third_party/aiter' 2025-09-07T13:50:20.6141707Z 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