2025-09-07T07:44:40.9194496Z Current runner version: '2.328.0' 2025-09-07T07:44:40.9200449Z Runner name: 'i-04bedcebd1f4c5e73-1001' 2025-09-07T07:44:40.9201397Z Runner group name: 'default' 2025-09-07T07:44:40.9202297Z Machine name: '5b29241bb6e3' 2025-09-07T07:44:40.9204923Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T07:44:40.9207052Z Contents: read 2025-09-07T07:44:40.9207738Z Metadata: read 2025-09-07T07:44:40.9208293Z ##[endgroup] 2025-09-07T07:44:40.9210475Z Secret source: Actions 2025-09-07T07:44:40.9211187Z Prepare workflow directory 2025-09-07T07:44:40.9722740Z Prepare all required actions 2025-09-07T07:44:40.9762395Z Getting action download info 2025-09-07T07:44:41.4974905Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T07:44:42.1202875Z Download action repository 'pytorch/pytorch@main' (SHA:ada43ed39c80b746b4822c92640a1882619e2795) 2025-09-07T07:44:51.2223479Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T07:44:51.5919300Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T07:44:52.0022933Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T07:44:52.3389671Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:44:52.8375535Z Getting action download info 2025-09-07T07:44:53.0190010Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T07:44:53.3789820Z Getting action download info 2025-09-07T07:44:53.6088107Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T07:44:53.9606999Z Getting action download info 2025-09-07T07:44:54.1714158Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T07:44:54.4825517Z Getting action download info 2025-09-07T07:44:54.7335339Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:44:54.7340118Z ##[group] Inputs 2025-09-07T07:44:54.7340694Z build-environment: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T07:44:54.7347322Z test-matrix: {"include": [{"config": "inductor_huggingface_perf", "shard": 1, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 2, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 3, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 4, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 5, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 1, "num_shards": 2, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 2, "num_shards": 2, "runner": "linux.aws.a100"}]} 2025-09-07T07:44:54.7355155Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:44:54.7356181Z sync-tag: 2025-09-07T07:44:54.7357137Z timeout-minutes: 1440 2025-09-07T07:44:54.7357413Z use-gha: 2025-09-07T07:44:54.7358677Z dashboard-tag: training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T07:44:54.7360054Z s3-bucket: gha-artifacts 2025-09-07T07:44:54.7360344Z aws-role-to-assume: 2025-09-07T07:44:54.7360986Z disable-monitor: false 2025-09-07T07:44:54.7361323Z monitor-log-interval: 15 2025-09-07T07:44:54.7361638Z monitor-data-collect-interval: 4 2025-09-07T07:44:54.7361987Z ##[endgroup] 2025-09-07T07:44:54.7362756Z Complete job name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 2, 5, linux.aws.a100) 2025-09-07T07:44:54.7944754Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T07:44:54.7945572Z with: 2025-09-07T07:44:54.7946372Z github-secret: *** 2025-09-07T07:44:54.7947780Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T07:44:54.7948685Z activate-with-label: false 2025-09-07T07:44:54.7948976Z label: with-ssh 2025-09-07T07:44:54.7949222Z remove-existing-keys: true 2025-09-07T07:44:54.7949512Z fail-silently: true 2025-09-07T07:44:54.7950155Z env: 2025-09-07T07:44:54.7950388Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:44:54.7950665Z ##[endgroup] 2025-09-07T07:44:54.9085044Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T07:44:54.9086060Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T07:44:54.9258318Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T07:44:54.9258769Z with: 2025-09-07T07:44:54.9258995Z no-sudo: true 2025-09-07T07:44:54.9259241Z submodules: recursive 2025-09-07T07:44:54.9259508Z fetch-depth: 0 2025-09-07T07:44:54.9259726Z env: 2025-09-07T07:44:54.9259949Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:44:54.9260218Z ##[endgroup] 2025-09-07T07:44:54.9342693Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:44:54.9343719Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:44:54.9361185Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:44:54.9361607Z env: 2025-09-07T07:44:54.9361825Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:44:54.9362103Z ##[endgroup] 2025-09-07T07:44:54.9510484Z ##[group]Run actions/checkout@v4 2025-09-07T07:44:54.9510806Z with: 2025-09-07T07:44:54.9511051Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:44:54.9511400Z fetch-depth: 0 2025-09-07T07:44:54.9511651Z submodules: recursive 2025-09-07T07:44:54.9511922Z show-progress: false 2025-09-07T07:44:54.9512190Z repository: pytorch/pytorch 2025-09-07T07:44:54.9512633Z token: *** 2025-09-07T07:44:54.9512868Z ssh-strict: true 2025-09-07T07:44:54.9513113Z ssh-user: git 2025-09-07T07:44:54.9513353Z persist-credentials: true 2025-09-07T07:44:54.9513638Z clean: true 2025-09-07T07:44:54.9513894Z sparse-checkout-cone-mode: true 2025-09-07T07:44:54.9514207Z fetch-tags: false 2025-09-07T07:44:54.9514433Z lfs: false 2025-09-07T07:44:54.9514671Z set-safe-directory: true 2025-09-07T07:44:54.9515145Z env: 2025-09-07T07:44:54.9515435Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:44:54.9515708Z ##[endgroup] 2025-09-07T07:44:55.0540256Z Syncing repository: pytorch/pytorch 2025-09-07T07:44:55.0541683Z ##[group]Getting Git version info 2025-09-07T07:44:55.0542125Z Working directory is '/home/alice/_work/pytorch/pytorch' 2025-09-07T07:44:55.0542762Z [command]/usr/bin/git version 2025-09-07T07:44:55.0543062Z git version 2.51.0 2025-09-07T07:44:55.0555375Z ##[endgroup] 2025-09-07T07:44:55.0566544Z Temporarily overriding HOME='/home/alice/_work/_temp/3c678c3c-f32e-44c1-a9f6-f1060d343c18' before making global git config changes 2025-09-07T07:44:55.0567486Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:44:55.0571471Z [command]/usr/bin/git config --global --add safe.directory /home/alice/_work/pytorch/pytorch 2025-09-07T07:44:55.0598783Z Deleting the contents of '/home/alice/_work/pytorch/pytorch' 2025-09-07T07:44:55.0601690Z ##[group]Initializing the repository 2025-09-07T07:44:55.0604737Z [command]/usr/bin/git init /home/alice/_work/pytorch/pytorch 2025-09-07T07:44:55.0642959Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T07:44:55.0643616Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T07:44:55.0644212Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T07:44:55.0644635Z hint: 2025-09-07T07:44:55.0644967Z hint: git config --global init.defaultBranch 2025-09-07T07:44:55.0645333Z hint: 2025-09-07T07:44:55.0645687Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T07:44:55.0646274Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T07:44:55.0646737Z hint: 2025-09-07T07:44:55.0646970Z hint: git branch -m 2025-09-07T07:44:55.0647244Z hint: 2025-09-07T07:44:55.0647618Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-09-07T07:44:55.0648272Z Initialized empty Git repository in /home/alice/_work/pytorch/pytorch/.git/ 2025-09-07T07:44:55.0652215Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T07:44:55.0683745Z ##[endgroup] 2025-09-07T07:44:55.0684211Z ##[group]Disabling automatic garbage collection 2025-09-07T07:44:55.0687038Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:44:55.0709887Z ##[endgroup] 2025-09-07T07:44:55.0710290Z ##[group]Setting up auth 2025-09-07T07:44:55.0715844Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:44:55.0739551Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T07:44:55.0931628Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:44:55.0954682Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T07:44:55.1141198Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:44:55.1170750Z ##[endgroup] 2025-09-07T07:44:55.1171204Z ##[group]Fetching the repository 2025-09-07T07:44:55.1177774Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:45:42.7691896Z From https://github.com/pytorch/pytorch 2025-09-07T07:45:42.7692432Z * [new branch] 160583 -> origin/160583 2025-09-07T07:45:42.7692961Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T07:45:42.7693583Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T07:45:42.7694247Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T07:45:42.7695346Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T07:45:42.7696128Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T07:45:42.7696819Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T07:45:42.7697521Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T07:45:42.7698112Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T07:45:42.7698755Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T07:45:42.7699379Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T07:45:42.7699969Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T07:45:42.7700540Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T07:45:42.7701141Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T07:45:42.7701695Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T07:45:42.7702299Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T07:45:42.7703056Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T07:45:42.7703762Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T07:45:42.7704383Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T07:45:42.7705114Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T07:45:42.7705710Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T07:45:42.7706241Z * [new branch] addsimde -> origin/addsimde 2025-09-07T07:45:42.7707138Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T07:45:42.7707664Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T07:45:42.7708181Z * [new branch] adi/test -> origin/adi/test 2025-09-07T07:45:42.7708685Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T07:45:42.7709222Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T07:45:42.7709807Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T07:45:42.7710461Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T07:45:42.7711072Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T07:45:42.7711642Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T07:45:42.7712252Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T07:45:42.7712854Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T07:45:42.7713453Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T07:45:42.7714098Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T07:45:42.7714776Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T07:45:42.7715383Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T07:45:42.7715952Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T07:45:42.7716818Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T07:45:42.7717521Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T07:45:42.7718143Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T07:45:42.7718848Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T07:45:42.7719452Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T07:45:42.7720107Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T07:45:42.7720706Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T07:45:42.7721242Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T07:45:42.7721834Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T07:45:42.7722422Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T07:45:42.7722982Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T07:45:42.7723554Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T07:45:42.7724132Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T07:45:42.7724717Z * [new branch] 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2025-09-07T07:45:42.9349581Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T07:45:42.9350082Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T07:45:42.9350272Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T07:45:42.9350564Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T07:45:42.9350769Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T07:45:42.9350959Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T07:45:42.9351164Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T07:45:42.9351349Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T07:45:42.9351537Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T07:45:42.9351737Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T07:45:42.9351930Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T07:45:42.9352135Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T07:45:42.9352327Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T07:45:42.9352583Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T07:45:42.9352844Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T07:45:42.9353098Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T07:45:42.9353330Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T07:45:42.9353549Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T07:45:42.9353781Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T07:45:42.9354090Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T07:45:42.9354312Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T07:45:42.9354541Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T07:45:42.9354785Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T07:45:42.9355004Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T07:45:42.9355211Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T07:45:42.9355428Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T07:45:42.9355635Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T07:45:42.9355840Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T07:45:42.9356060Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T07:45:42.9356271Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T07:45:42.9356485Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T07:45:42.9356688Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T07:45:42.9356896Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T07:45:42.9357113Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T07:45:42.9357321Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T07:45:42.9357500Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T07:45:42.9357672Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T07:45:42.9357848Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T07:45:42.9358097Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T07:45:42.9358265Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T07:45:42.9358685Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T07:45:42.9359027Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T07:45:42.9359299Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T07:45:42.9359558Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T07:45:42.9359828Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T07:45:42.9360050Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T07:45:42.9360269Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T07:45:42.9360497Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T07:45:42.9360714Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T07:45:42.9360945Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T07:45:42.9361160Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T07:45:42.9361355Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T07:45:42.9361614Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T07:45:42.9361802Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T07:45:42.9362077Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T07:45:42.9362271Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T07:45:42.9362473Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T07:45:42.9362659Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T07:45:42.9362847Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T07:45:42.9363050Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T07:45:42.9363241Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T07:45:42.9363439Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T07:45:42.9363627Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T07:45:42.9363821Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T07:45:42.9364024Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T07:45:42.9364215Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T07:45:42.9364417Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T07:45:42.9364605Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T07:45:42.9364808Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T07:45:42.9364996Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T07:45:42.9365184Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T07:45:42.9365385Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T07:45:42.9365574Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T07:45:42.9365855Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T07:45:42.9366048Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T07:45:42.9366239Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T07:45:42.9366440Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T07:45:42.9366630Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T07:45:42.9366830Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T07:45:42.9367018Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T07:45:42.9367219Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T07:45:42.9367412Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T07:45:42.9367601Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T07:45:42.9367806Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T07:45:42.9367993Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T07:45:42.9368198Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T07:45:42.9368388Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T07:45:42.9368578Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T07:45:42.9368777Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T07:45:42.9368965Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T07:45:42.9369263Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T07:45:42.9369455Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T07:45:42.9369658Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T07:45:42.9369846Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T07:45:42.9370037Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T07:45:42.9370235Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T07:45:42.9370424Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T07:45:42.9370624Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T07:45:42.9370815Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T07:45:42.9371021Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T07:45:42.9371212Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T07:45:42.9371404Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T07:45:42.9371606Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T07:45:42.9371794Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T07:45:42.9371994Z * [new tag] ciflow/inductor/160928 -> ciflow/inductor/160928 2025-09-07T07:45:42.9372184Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T07:45:42.9372375Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T07:45:42.9372574Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T07:45:42.9372763Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T07:45:42.9372966Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T07:45:42.9373236Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T07:45:42.9373448Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T07:45:42.9373641Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T07:45:42.9373829Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T07:45:42.9374024Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T07:45:42.9374214Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T07:45:42.9374409Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T07:45:42.9374597Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T07:45:42.9374787Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T07:45:42.9374990Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T07:45:42.9375179Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T07:45:42.9375383Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T07:45:42.9375572Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T07:45:42.9375772Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T07:45:42.9375961Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T07:45:42.9376151Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T07:45:42.9376354Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T07:45:42.9376623Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T07:45:42.9376824Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T07:45:42.9377013Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T07:45:42.9377206Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T07:45:42.9377407Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T07:45:42.9377597Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T07:45:42.9377801Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T07:45:42.9377988Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T07:45:42.9378189Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T07:45:42.9378383Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T07:45:42.9378574Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T07:45:42.9378774Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T07:45:42.9378962Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T07:45:42.9379169Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T07:45:42.9379355Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T07:45:42.9379545Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T07:45:42.9379747Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T07:45:42.9379937Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T07:45:42.9380139Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T07:45:42.9380327Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T07:45:42.9380616Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T07:45:42.9380807Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T07:45:42.9380997Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T07:45:42.9381198Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T07:45:42.9381386Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T07:45:42.9381586Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T07:45:42.9381775Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T07:45:42.9381969Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T07:45:42.9382174Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T07:45:42.9382367Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T07:45:42.9382567Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T07:45:42.9382757Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T07:45:42.9382960Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T07:45:42.9383148Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T07:45:42.9383339Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T07:45:42.9383538Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T07:45:42.9383826Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T07:45:42.9384027Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T07:45:42.9384216Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T07:45:42.9384405Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T07:45:42.9384700Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T07:45:42.9384896Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T07:45:42.9385098Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T07:45:42.9385288Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T07:45:42.9385493Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T07:45:42.9385681Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T07:45:42.9385873Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T07:45:42.9386076Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T07:45:42.9386264Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T07:45:42.9386465Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T07:45:42.9386784Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T07:45:42.9386987Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T07:45:42.9387175Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T07:45:42.9387364Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T07:45:42.9387564Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T07:45:42.9387757Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T07:45:42.9388070Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T07:45:42.9388259Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T07:45:42.9388449Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T07:45:42.9388650Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T07:45:42.9388843Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T07:45:42.9389045Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T07:45:42.9389231Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T07:45:42.9389434Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T07:45:42.9389627Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T07:45:42.9389820Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T07:45:42.9390022Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T07:45:42.9390207Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T07:45:42.9390411Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T07:45:42.9390597Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T07:45:42.9390785Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T07:45:42.9390981Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T07:45:42.9391168Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T07:45:42.9391460Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T07:45:42.9391649Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T07:45:42.9391857Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T07:45:42.9392041Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T07:45:42.9392227Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T07:45:42.9392424Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T07:45:42.9392610Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T07:45:42.9392809Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T07:45:42.9392995Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T07:45:42.9393186Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T07:45:42.9393379Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T07:45:42.9393570Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T07:45:42.9393767Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T07:45:42.9393954Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T07:45:42.9394156Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T07:45:42.9394344Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T07:45:42.9394535Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T07:45:42.9394732Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T07:45:42.9394921Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T07:45:42.9395121Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T07:45:42.9395389Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T07:45:42.9395579Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T07:45:42.9395778Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T07:45:42.9395966Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T07:45:42.9396165Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T07:45:42.9396354Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T07:45:42.9396553Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T07:45:42.9396746Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T07:45:42.9396933Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T07:45:42.9397133Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T07:45:42.9397320Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T07:45:42.9397519Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T07:45:42.9397706Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T07:45:42.9397897Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T07:45:42.9398099Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T07:45:42.9398287Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T07:45:42.9398488Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T07:45:42.9398782Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T07:45:42.9398995Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T07:45:42.9399194Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T07:45:42.9399391Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T07:45:42.9399618Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T07:45:42.9399833Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T07:45:42.9400056Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T07:45:42.9400229Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T07:45:42.9400402Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T07:45:42.9400585Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T07:45:42.9400757Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T07:45:42.9400934Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T07:45:42.9401106Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T07:45:42.9401303Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T07:45:42.9401492Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T07:45:42.9401706Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T07:45:42.9401995Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T07:45:42.9402271Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T07:45:42.9402484Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T07:45:42.9402754Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T07:45:42.9402958Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T07:45:42.9403148Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T07:45:42.9403340Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T07:45:42.9403550Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T07:45:42.9403749Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T07:45:42.9403947Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T07:45:42.9404140Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T07:45:42.9404366Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T07:45:42.9404619Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T07:45:42.9404856Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T07:45:42.9405101Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T07:45:42.9405328Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T07:45:42.9405587Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T07:45:42.9405807Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T07:45:42.9406003Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T07:45:42.9406282Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T07:45:42.9406475Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T07:45:42.9406676Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T07:45:42.9406868Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T07:45:42.9407058Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T07:45:42.9407254Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T07:45:42.9407446Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T07:45:42.9407645Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T07:45:42.9407838Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T07:45:42.9408045Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T07:45:42.9408237Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T07:45:42.9408434Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T07:45:42.9408634Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T07:45:42.9408807Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T07:45:42.9408993Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T07:45:42.9409164Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T07:45:42.9409335Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T07:45:42.9409510Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T07:45:42.9409679Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T07:45:42.9409864Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T07:45:42.9410110Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T07:45:42.9410290Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T07:45:42.9410458Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T07:45:42.9410628Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T07:45:42.9410809Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T07:45:42.9410978Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T07:45:42.9411156Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T07:45:42.9411324Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T07:45:42.9411496Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T07:45:42.9411680Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T07:45:42.9411859Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T07:45:42.9412409Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T07:45:42.9412586Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T07:45:42.9412769Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T07:45:42.9412942Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T07:45:42.9413120Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T07:45:42.9413304Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T07:45:42.9413558Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T07:45:42.9413747Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T07:45:42.9413921Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T07:45:42.9414096Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T07:45:42.9414282Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T07:45:42.9414786Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T07:45:42.9414974Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T07:45:42.9415153Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T07:45:42.9415344Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T07:45:42.9415522Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T07:45:42.9415703Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T07:45:42.9416238Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T07:45:42.9416473Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T07:45:42.9416659Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T07:45:42.9416836Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T07:45:42.9417025Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T07:45:42.9417200Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T07:45:42.9417378Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T07:45:42.9417567Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T07:45:42.9417822Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T07:45:42.9418010Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T07:45:42.9418186Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T07:45:42.9418363Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T07:45:42.9418549Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T07:45:42.9418724Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T07:45:42.9418910Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T07:45:42.9419086Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T07:45:42.9419277Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T07:45:42.9419454Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T07:45:42.9419629Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T07:45:42.9419817Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T07:45:42.9419992Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T07:45:42.9420178Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T07:45:42.9420354Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T07:45:42.9420529Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T07:45:42.9420714Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T07:45:42.9421016Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T07:45:42.9421205Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T07:45:42.9421382Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T07:45:42.9421574Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T07:45:42.9421750Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T07:45:42.9421926Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T07:45:42.9422117Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T07:45:42.9422294Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T07:45:42.9422485Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T07:45:42.9422660Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T07:45:42.9422840Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T07:45:42.9423031Z * [new tag] ciflow/trunk/160928 -> ciflow/trunk/160928 2025-09-07T07:45:42.9423209Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T07:45:42.9423395Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T07:45:42.9423570Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T07:45:42.9423746Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T07:45:42.9423977Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T07:45:42.9424209Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T07:45:42.9424469Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T07:45:42.9424790Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T07:45:42.9425143Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T07:45:42.9425512Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T07:45:42.9425743Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T07:45:42.9425998Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T07:45:42.9426213Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T07:45:42.9426425Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T07:45:42.9426944Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T07:45:42.9427222Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T07:45:42.9427502Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T07:45:42.9427711Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T07:45:42.9427977Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T07:45:42.9428185Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T07:45:42.9428385Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T07:45:42.9428693Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T07:45:42.9428912Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T07:45:42.9429165Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T07:45:42.9429373Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T07:45:42.9429683Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T07:45:42.9430050Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T07:45:42.9430282Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T07:45:42.9430540Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T07:45:42.9430751Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T07:45:42.9431023Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T07:45:42.9431213Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T07:45:42.9431457Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T07:45:42.9431733Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T07:45:42.9431942Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T07:45:42.9432211Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T07:45:42.9432422Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T07:45:42.9432698Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T07:45:42.9432927Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T07:45:42.9433138Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T07:45:42.9433410Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T07:45:42.9433623Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T07:45:42.9433856Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T07:45:42.9434098Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T07:45:42.9434379Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T07:45:42.9434600Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T07:45:42.9434962Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T07:45:42.9435221Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T07:45:42.9435410Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T07:45:42.9435720Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T07:45:42.9435947Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T07:45:42.9436158Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T07:45:42.9436419Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T07:45:42.9436631Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T07:45:42.9436901Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T07:45:42.9437145Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T07:45:42.9437400Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T07:45:42.9437611Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T07:45:42.9437819Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T07:45:42.9438055Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T07:45:42.9438298Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T07:45:42.9438582Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T07:45:42.9438793Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T07:45:42.9439144Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T07:45:42.9439356Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T07:45:42.9439551Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T07:45:42.9439886Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T07:45:42.9440161Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T07:45:42.9440419Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T07:45:42.9440632Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T07:45:42.9440844Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T07:45:42.9441132Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T07:45:42.9441365Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T07:45:42.9441622Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T07:45:42.9441835Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T07:45:42.9442101Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T07:45:42.9442294Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T07:45:42.9442543Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T07:45:42.9442815Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T07:45:42.9443032Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T07:45:42.9443286Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T07:45:42.9443528Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T07:45:42.9443825Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T07:45:42.9444052Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T07:45:42.9444349Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T07:45:42.9444616Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T07:45:42.9444822Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T07:45:42.9445051Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T07:45:42.9445298Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T07:45:42.9445582Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T07:45:42.9445832Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T07:45:42.9446046Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T07:45:42.9446299Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T07:45:42.9446486Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T07:45:42.9446792Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T07:45:42.9446999Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T07:45:42.9447216Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T07:45:42.9447463Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T07:45:42.9447670Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T07:45:42.9447933Z * [new tag] cslpull75 -> cslpull75 2025-09-07T07:45:42.9448142Z * [new tag] cslpull76 -> cslpull76 2025-09-07T07:45:42.9448481Z * [new tag] cslpull77 -> cslpull77 2025-09-07T07:45:42.9448667Z * [new tag] cslpull78 -> cslpull78 2025-09-07T07:45:42.9448856Z * [new tag] cslpull79 -> cslpull79 2025-09-07T07:45:42.9449070Z * [new tag] cslpull80 -> cslpull80 2025-09-07T07:45:42.9449293Z * [new tag] cslpull81 -> cslpull81 2025-09-07T07:45:42.9449551Z * [new tag] cslpull82 -> cslpull82 2025-09-07T07:45:42.9449735Z * [new tag] cslpull83 -> cslpull83 2025-09-07T07:45:42.9449918Z * [new tag] cslpull84 -> cslpull84 2025-09-07T07:45:42.9450146Z * [new tag] cslpull85 -> cslpull85 2025-09-07T07:45:42.9450309Z * [new tag] cslpull86 -> cslpull86 2025-09-07T07:45:42.9450666Z * [new tag] cslpull87 -> cslpull87 2025-09-07T07:45:42.9450856Z * [new tag] cslpull88 -> cslpull88 2025-09-07T07:45:42.9451090Z * [new tag] cslpull89 -> cslpull89 2025-09-07T07:45:42.9451275Z * [new tag] cslpull90 -> cslpull90 2025-09-07T07:45:42.9451460Z * [new tag] cslpull91 -> cslpull91 2025-09-07T07:45:42.9451700Z * [new tag] cslpull92 -> cslpull92 2025-09-07T07:45:42.9451917Z * [new tag] flight_5 -> flight_5 2025-09-07T07:45:42.9452155Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T07:45:42.9452341Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T07:45:42.9452526Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T07:45:42.9452735Z * [new tag] forpull1 -> forpull1 2025-09-07T07:45:42.9452997Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T07:45:42.9453274Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T07:45:42.9453581Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T07:45:42.9453839Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T07:45:42.9454078Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T07:45:42.9454267Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T07:45:42.9454783Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T07:45:42.9455219Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T07:45:42.9455692Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T07:45:42.9456146Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T07:45:42.9456633Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T07:45:42.9457182Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T07:45:42.9457671Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T07:45:42.9458104Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T07:45:42.9458527Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T07:45:42.9459111Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T07:45:42.9459524Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T07:45:42.9460056Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T07:45:42.9460497Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T07:45:42.9460982Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T07:45:42.9461424Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T07:45:42.9461862Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T07:45:42.9462370Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T07:45:42.9462816Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T07:45:42.9463304Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T07:45:42.9463748Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T07:45:42.9464215Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T07:45:42.9464722Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T07:45:42.9465289Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T07:45:42.9465837Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T07:45:42.9466380Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T07:45:42.9466922Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T07:45:42.9467358Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T07:45:42.9467867Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T07:45:42.9468328Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T07:45:42.9468819Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T07:45:42.9469259Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T07:45:42.9469734Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T07:45:42.9470145Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T07:45:42.9470710Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T07:45:42.9471154Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T07:45:42.9471578Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T07:45:42.9472181Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T07:45:42.9472603Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T07:45:42.9473120Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T07:45:42.9473571Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T07:45:42.9474044Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T07:45:42.9474480Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T07:45:42.9474960Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T07:45:42.9475382Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T07:45:42.9475839Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T07:45:42.9476376Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T07:45:42.9476813Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T07:45:42.9477278Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T07:45:42.9477721Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T07:45:42.9478220Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T07:45:42.9478767Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T07:45:42.9479239Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T07:45:42.9479675Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T07:45:42.9480116Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T07:45:42.9480580Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T07:45:42.9481054Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T07:45:42.9481555Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T07:45:42.9481984Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T07:45:42.9482455Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T07:45:42.9482883Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T07:45:42.9483395Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T07:45:42.9483844Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T07:45:42.9484361Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T07:45:42.9484848Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T07:45:42.9485277Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T07:45:42.9485740Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T07:45:42.9486293Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T07:45:42.9486809Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T07:45:42.9487248Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T07:45:42.9487727Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T07:45:42.9488163Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T07:45:42.9488574Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T07:45:42.9489105Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T07:45:42.9489536Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T07:45:42.9490020Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T07:45:42.9490445Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T07:45:42.9490994Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T07:45:42.9491471Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T07:45:42.9492001Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T07:45:42.9492447Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T07:45:42.9492881Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T07:45:42.9493365Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T07:45:42.9493776Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T07:45:42.9494331Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T07:45:42.9494778Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T07:45:42.9495246Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T07:45:42.9495672Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T07:45:42.9496168Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T07:45:42.9496771Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T07:45:42.9497237Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T07:45:42.9497721Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T07:45:42.9498142Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T07:45:42.9498636Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T07:45:42.9499038Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T07:45:42.9499582Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T07:45:42.9500024Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T07:45:42.9500507Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T07:45:42.9500951Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T07:45:42.9501388Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T07:45:42.9501878Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T07:45:42.9502336Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T07:45:42.9502804Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T07:45:42.9503333Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T07:45:42.9503803Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T07:45:42.9504211Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T07:45:42.9504844Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T07:45:42.9505275Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T07:45:42.9505776Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T07:45:42.9506254Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T07:45:42.9506829Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T07:45:42.9507324Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T07:45:42.9507771Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T07:45:42.9508261Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T07:45:42.9508687Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T07:45:42.9509171Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T07:45:42.9509689Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T07:45:42.9510163Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T07:45:42.9510664Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T07:45:42.9511100Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T07:45:42.9511582Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T07:45:42.9512009Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T07:45:42.9512499Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T07:45:42.9512956Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T07:45:42.9513417Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T07:45:42.9513857Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T07:45:42.9514284Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T07:45:42.9514743Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T07:45:42.9515222Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T07:45:42.9515787Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T07:45:42.9516313Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T07:45:42.9516794Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T07:45:42.9517227Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T07:45:42.9517741Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T07:45:42.9518194Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T07:45:42.9518623Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T07:45:42.9519102Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T07:45:42.9519538Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T07:45:42.9520000Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T07:45:42.9520467Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T07:45:42.9520965Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T07:45:42.9521406Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T07:45:42.9521992Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T07:45:42.9522417Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T07:45:42.9522832Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T07:45:42.9523364Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T07:45:42.9523798Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T07:45:42.9524281Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:45:42.9524716Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T07:45:42.9525180Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T07:45:42.9525733Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T07:45:42.9526222Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T07:45:42.9526652Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T07:45:42.9527093Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T07:45:42.9527573Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T07:45:42.9527999Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T07:45:42.9528609Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T07:45:42.9529068Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T07:45:42.9529544Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T07:45:42.9529976Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T07:45:42.9530424Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T07:45:42.9530913Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T07:45:42.9531372Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T07:45:42.9531859Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T07:45:42.9532281Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T07:45:42.9532763Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T07:45:42.9533181Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T07:45:42.9533741Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T07:45:42.9534161Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T07:45:42.9534730Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T07:45:42.9535245Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T07:45:42.9535677Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T07:45:42.9536203Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T07:45:42.9542178Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T07:45:42.9542673Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T07:45:42.9543107Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T07:45:42.9543514Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T07:45:42.9543931Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T07:45:42.9544333Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T07:45:42.9544843Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T07:45:42.9545269Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T07:45:42.9545663Z * [new tag] trunk/ada43ed39c80b746b4822c92640a1882619e2795 -> trunk/ada43ed39c80b746b4822c92640a1882619e2795 2025-09-07T07:45:42.9546087Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T07:45:42.9546827Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T07:45:42.9547250Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T07:45:42.9547634Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T07:45:42.9548039Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T07:45:42.9548455Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T07:45:42.9548844Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T07:45:42.9549274Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T07:45:42.9549664Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T07:45:42.9550082Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T07:45:42.9550478Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T07:45:42.9550874Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T07:45:42.9551269Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T07:45:42.9551774Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T07:45:42.9552193Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T07:45:42.9552593Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T07:45:42.9552997Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T07:45:42.9553391Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T07:45:42.9553810Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T07:45:42.9554201Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T07:45:42.9554610Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T07:45:42.9555036Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T07:45:42.9555422Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T07:45:42.9555826Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T07:45:42.9556246Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T07:45:42.9556649Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T07:45:42.9557069Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T07:45:42.9557546Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T07:45:42.9557961Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T07:45:42.9558361Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T07:45:42.9558747Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T07:45:42.9559141Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T07:45:42.9559530Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T07:45:42.9559940Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T07:45:42.9560346Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T07:45:42.9560740Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T07:45:42.9561138Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T07:45:42.9561540Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T07:45:42.9561953Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T07:45:42.9562351Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T07:45:42.9562838Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T07:45:42.9563240Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T07:45:42.9563645Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T07:45:42.9564034Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T07:45:42.9564437Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T07:45:42.9564822Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T07:45:42.9565245Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T07:45:42.9565644Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T07:45:42.9566046Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T07:45:42.9566452Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T07:45:42.9566846Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T07:45:42.9567247Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T07:45:42.9567634Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T07:45:42.9568040Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T07:45:42.9568503Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T07:45:42.9568892Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T07:45:42.9569308Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T07:45:42.9569699Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T07:45:42.9570114Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T07:45:42.9570525Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T07:45:42.9570943Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T07:45:42.9571343Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T07:45:42.9571741Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T07:45:42.9572131Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T07:45:42.9572537Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T07:45:42.9572944Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T07:45:42.9573416Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T07:45:42.9573831Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T07:45:42.9574224Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T07:45:42.9574626Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T07:45:42.9575021Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T07:45:42.9575419Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T07:45:42.9575808Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T07:45:42.9576196Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T07:45:42.9576612Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T07:45:42.9577024Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T07:45:42.9577429Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T07:45:42.9577833Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T07:45:42.9578246Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T07:45:42.9578644Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T07:45:42.9579110Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T07:45:42.9579515Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T07:45:42.9579905Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T07:45:42.9580317Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T07:45:42.9580720Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T07:45:42.9581123Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T07:45:42.9581522Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T07:45:42.9581930Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T07:45:42.9582324Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T07:45:42.9582736Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T07:45:42.9583148Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T07:45:42.9583549Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T07:45:42.9584050Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T07:45:42.9584198Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T07:45:42.9584355Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T07:45:42.9584497Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T07:45:42.9584730Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T07:45:42.9584895Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T07:45:42.9585036Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T07:45:42.9585188Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T07:45:42.9585326Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T07:45:42.9585461Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T07:45:42.9585616Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T07:45:42.9585753Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T07:45:42.9585903Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T07:45:42.9586038Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T07:45:42.9586188Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T07:45:42.9586335Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T07:45:42.9586469Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T07:45:42.9586740Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T07:45:42.9586880Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T07:45:42.9587039Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T07:45:42.9587178Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T07:45:42.9587325Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T07:45:42.9587482Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T07:45:42.9587751Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T07:45:42.9587911Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T07:45:42.9588052Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T07:45:42.9588207Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T07:45:42.9588375Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T07:45:42.9588522Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T07:45:42.9588680Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T07:45:42.9588826Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T07:45:42.9588970Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T07:45:42.9589133Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T07:45:42.9589275Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T07:45:42.9589434Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T07:45:42.9589580Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T07:45:42.9589726Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T07:45:42.9589884Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T07:45:42.9590031Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T07:45:42.9590188Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T07:45:42.9590334Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T07:45:42.9590484Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T07:45:42.9590726Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T07:45:42.9590876Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T07:45:42.9591036Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T07:45:42.9591182Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T07:45:42.9591340Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T07:45:42.9591483Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T07:45:42.9591627Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T07:45:42.9591789Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T07:45:42.9591926Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T07:45:42.9592086Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T07:45:42.9592236Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T07:45:42.9592384Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T07:45:42.9592546Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T07:45:42.9592693Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T07:45:42.9592843Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T07:45:42.9592988Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T07:45:42.9593147Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T07:45:42.9593290Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T07:45:42.9593436Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T07:45:42.9593594Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T07:45:42.9593744Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T07:45:42.9593899Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T07:45:42.9594123Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T07:45:42.9594269Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T07:45:42.9594424Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T07:45:42.9594562Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T07:45:42.9594720Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T07:45:42.9594858Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T07:45:42.9594994Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T07:45:42.9595145Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T07:45:42.9595283Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T07:45:42.9595433Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T07:45:42.9595585Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T07:45:42.9595745Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T07:45:42.9595893Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T07:45:42.9596039Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T07:45:42.9596194Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T07:45:42.9596333Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T07:45:42.9596489Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T07:45:42.9596627Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T07:45:42.9596773Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T07:45:42.9597015Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T07:45:42.9597162Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T07:45:42.9597322Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T07:45:42.9597466Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T07:45:42.9597610Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T07:45:42.9597768Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T07:45:42.9597908Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T07:45:42.9598065Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T07:45:42.9598210Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T07:45:42.9598369Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T07:45:42.9598519Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T07:45:42.9598659Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T07:45:42.9598820Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T07:45:42.9598966Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T07:45:42.9599124Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T07:45:42.9599263Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T07:45:42.9599411Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T07:45:42.9599571Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T07:45:42.9599717Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T07:45:42.9599873Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T07:45:42.9600017Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T07:45:42.9600161Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T07:45:42.9600399Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T07:45:42.9600547Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T07:45:42.9600708Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T07:45:42.9600847Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T07:45:42.9601004Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T07:45:42.9601147Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T07:45:42.9601293Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T07:45:42.9601450Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T07:45:42.9601598Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T07:45:42.9601761Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T07:45:42.9601901Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T07:45:42.9602049Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T07:45:42.9602206Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T07:45:42.9602349Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T07:45:42.9602504Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T07:45:42.9602649Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T07:45:42.9602797Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T07:45:42.9602952Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T07:45:42.9603098Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T07:45:42.9603333Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T07:45:42.9603474Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T07:45:42.9603627Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T07:45:42.9603786Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T07:45:42.9603932Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T07:45:42.9604089Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T07:45:42.9604231Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T07:45:42.9604383Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T07:45:42.9604528Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T07:45:42.9604674Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T07:45:42.9604827Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T07:45:42.9604978Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T07:45:42.9605135Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T07:45:42.9605273Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T07:45:42.9605417Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T07:45:42.9605572Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T07:45:42.9605718Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T07:45:42.9605869Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T07:45:42.9606012Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T07:45:42.9606159Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T07:45:42.9606306Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T07:45:42.9606457Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T07:45:42.9606611Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T07:45:42.9606852Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T07:45:42.9607005Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T07:45:42.9607148Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T07:45:42.9607292Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T07:45:42.9607445Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T07:45:42.9607590Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T07:45:42.9607743Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T07:45:42.9607887Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T07:45:42.9608033Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T07:45:42.9608187Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T07:45:42.9608328Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T07:45:42.9608482Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T07:45:42.9608626Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T07:45:42.9608768Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T07:45:42.9608916Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T07:45:42.9609063Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T07:45:42.9609217Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T07:45:42.9609362Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T07:45:42.9609586Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T07:45:42.9609730Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T07:45:42.9609887Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T07:45:42.9610047Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T07:45:42.9610196Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T07:45:42.9610350Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T07:45:42.9610495Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T07:45:42.9610639Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T07:45:42.9610792Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T07:45:42.9610936Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T07:45:42.9611091Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T07:45:42.9611240Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T07:45:42.9611382Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T07:45:42.9611532Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T07:45:42.9611679Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T07:45:42.9611833Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T07:45:42.9611978Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T07:45:42.9612124Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T07:45:42.9612268Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T07:45:42.9612413Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T07:45:42.9612568Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T07:45:42.9612720Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T07:45:42.9612878Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T07:45:42.9613100Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T07:45:42.9613248Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T07:45:42.9613405Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T07:45:42.9613549Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T07:45:42.9613695Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T07:45:42.9613841Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T07:45:42.9613985Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T07:45:42.9614142Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T07:45:42.9614286Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T07:45:42.9614443Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T07:45:42.9614597Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T07:45:42.9614756Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T07:45:42.9614902Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T07:45:42.9615044Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T07:45:42.9615200Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T07:45:42.9615345Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T07:45:42.9615500Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T07:45:42.9615649Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T07:45:42.9615791Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T07:45:42.9616019Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T07:45:42.9616164Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T07:45:42.9616317Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T07:45:42.9616460Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T07:45:42.9616602Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T07:45:42.9616756Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T07:45:42.9616898Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T07:45:42.9617053Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T07:45:42.9617196Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T07:45:42.9617351Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T07:45:42.9617500Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T07:45:42.9617642Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T07:45:42.9617798Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T07:45:42.9617940Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T07:45:42.9618101Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T07:45:42.9618245Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T07:45:42.9618388Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T07:45:42.9618544Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T07:45:42.9618685Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T07:45:42.9618840Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T07:45:42.9618988Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T07:45:42.9619133Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T07:45:42.9619365Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T07:45:42.9619504Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T07:45:42.9619664Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T07:45:42.9619807Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T07:45:42.9619962Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T07:45:42.9620107Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T07:45:42.9620250Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T07:45:42.9620402Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T07:45:42.9620544Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T07:45:42.9620703Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T07:45:42.9620848Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T07:45:42.9620992Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T07:45:42.9621145Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T07:45:42.9621287Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T07:45:42.9621446Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T07:45:42.9621589Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T07:45:42.9621747Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T07:45:42.9621916Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T07:45:42.9622070Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T07:45:43.4169336Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:45:43.4192595Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:45:43.4196745Z ##[endgroup] 2025-09-07T07:45:43.4197226Z ##[group]Determining the checkout info 2025-09-07T07:45:43.4197733Z ##[endgroup] 2025-09-07T07:45:43.4201025Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:45:43.4240323Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:45:43.4263320Z ##[group]Checking out the ref 2025-09-07T07:45:43.4266839Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:45:44.4504385Z Updating files: 91% (17792/19405) 2025-09-07T07:45:44.4630108Z Updating files: 92% (17853/19405) 2025-09-07T07:45:44.4801347Z Updating files: 93% (18047/19405) 2025-09-07T07:45:44.4994373Z Updating files: 94% (18241/19405) 2025-09-07T07:45:44.5140229Z Updating files: 95% (18435/19405) 2025-09-07T07:45:44.5292979Z Updating files: 96% (18629/19405) 2025-09-07T07:45:44.5469876Z Updating files: 97% (18823/19405) 2025-09-07T07:45:44.5734806Z Updating files: 98% (19017/19405) 2025-09-07T07:45:44.5883294Z Updating files: 99% (19211/19405) 2025-09-07T07:45:44.5883624Z Updating files: 100% (19405/19405) 2025-09-07T07:45:44.5883932Z Updating files: 100% (19405/19405), done. 2025-09-07T07:45:44.6164306Z Note: switching to '93fb23d6fae7c4e82c4239a1033e522088742634'. 2025-09-07T07:45:44.6164673Z 2025-09-07T07:45:44.6164905Z You are in 'detached HEAD' state. You can look around, make experimental 2025-09-07T07:45:44.6165482Z changes and commit them, and you can discard any commits you make in this 2025-09-07T07:45:44.6166060Z state without impacting any branches by switching back to a branch. 2025-09-07T07:45:44.6166399Z 2025-09-07T07:45:44.6166615Z If you want to create a new branch to retain commits you create, you may 2025-09-07T07:45:44.6167166Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T07:45:44.6167532Z 2025-09-07T07:45:44.6167646Z git switch -c 2025-09-07T07:45:44.6167853Z 2025-09-07T07:45:44.6168228Z Or undo this operation with: 2025-09-07T07:45:44.6168417Z 2025-09-07T07:45:44.6168578Z git switch - 2025-09-07T07:45:44.6168714Z 2025-09-07T07:45:44.6168961Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T07:45:44.6169341Z 2025-09-07T07:45:44.6169523Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:45:44.6237715Z ##[endgroup] 2025-09-07T07:45:44.6238153Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:45:44.6243247Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:45:44.6277564Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:45:44.6301397Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:45:44.6327082Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:45:44.6348530Z ##[endgroup] 2025-09-07T07:45:44.6348960Z ##[group]Fetching submodules 2025-09-07T07:45:44.6351732Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:45:44.6586167Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:45:44.6805069Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T07:45:44.6812901Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T07:45:44.6822802Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T07:45:44.6832271Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T07:45:44.6842215Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T07:45:44.6852684Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T07:45:44.6862658Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T07:45:44.6873169Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T07:45:44.6883666Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T07:45:44.6893804Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T07:45:44.6904384Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T07:45:44.6915452Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T07:45:44.6925992Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T07:45:44.6936916Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T07:45:44.6948097Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T07:45:44.6958893Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T07:45:44.6969436Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T07:45:44.6980097Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T07:45:44.6991368Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:45:44.7001973Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T07:45:44.7013006Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T07:45:44.7023715Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T07:45:44.7035505Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T07:45:44.7046903Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T07:45:44.7058401Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T07:45:44.7070071Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T07:45:44.7081688Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T07:45:44.7093887Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T07:45:44.7105885Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T07:45:44.7118007Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T07:45:44.7129849Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T07:45:44.7141622Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T07:45:44.7153594Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T07:45:44.7165147Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T07:45:44.7176961Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T07:45:44.7188857Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T07:45:44.7201235Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T07:45:44.7228138Z Cloning into '/home/alice/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T07:45:45.2608888Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T07:45:45.7245507Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T07:45:46.1787201Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T07:45:46.8302502Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T07:45:47.4951431Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T07:45:48.9747343Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T07:46:00.2449578Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T07:46:04.3447584Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T07:46:04.9620728Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T07:46:08.4853912Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T07:46:09.3486167Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T07:46:10.2040995Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T07:46:11.6579531Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T07:46:13.9551027Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T07:46:16.6419677Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T07:46:17.4555031Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T07:46:18.9274674Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T07:46:20.1960717Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T07:46:20.8114092Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T07:46:21.4589799Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T07:46:22.9838737Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T07:46:23.6649990Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T07:46:24.4400563Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T07:46:26.0713108Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T07:46:26.7657997Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T07:46:28.4792464Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T07:46:35.5927263Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T07:46:38.7848651Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T07:46:46.5873138Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T07:46:47.0784595Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T07:46:55.9334990Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T07:46:56.4470763Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T07:46:56.8948230Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T07:46:57.9899123Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T07:46:58.5750352Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T07:46:59.6145798Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T07:47:00.2711696Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:47:00.2824081Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:47:00.2911022Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:47:00.3138249Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:47:00.3916201Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:47:00.4466997Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:47:01.1294690Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:47:01.2851285Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:47:01.2877224Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:47:01.2901397Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T07:47:06.4953884Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:47:06.5174116Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:47:06.8357859Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:47:06.8833224Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:47:06.9834221Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:47:07.0269654Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:47:07.6663286Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:47:07.8042134Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:47:07.8088742Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T07:47:07.8105545Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:47:07.8115276Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:47:07.8129581Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T07:47:07.8143928Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T07:47:07.8157974Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:47:07.8179791Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T07:47:07.8205254Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T07:47:09.2001389Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T07:47:10.6196050Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T07:47:11.4634937Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T07:47:13.5601825Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T07:47:15.1828915Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T07:47:16.0441432Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T07:47:24.7408153Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:47:25.0428663Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:47:25.1857910Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:47:26.0553103Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:47:26.1172175Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:47:26.1337422Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:47:26.2443845Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:47:26.3111870Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:47:26.3138647Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:47:26.3146942Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:47:26.3172502Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T07:47:30.7437098Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T07:47:34.2177548Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:47:34.9017907Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:47:35.0360433Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:47:35.0683725Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:47:35.1088291Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:47:35.1319382Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:47:35.1834232Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:47:35.1985122Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:47:35.2497796Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T07:47:35.2536567Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T07:47:48.9019584Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:47:48.9652230Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:47:49.1310133Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:47:49.2214710Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:47:49.3056425Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:47:49.3287931Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:47:49.3313490Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T07:47:50.1321018Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T07:47:51.9528024Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T07:47:53.2325559Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:47:53.2353817Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:47:53.2361235Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:47:53.2368901Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:47:53.2376977Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:47:53.2385509Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:47:53.2394939Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:47:53.2404099Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:47:53.2414043Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:47:53.2446352Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T07:47:54.8104746Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T07:47:55.3793239Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T07:47:56.6292650Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T07:47:57.6658668Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T07:47:58.7341652Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T07:48:00.2632586Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T07:48:07.6353508Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T07:48:08.5235117Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:48:08.5447414Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:48:08.5814731Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:48:08.6019871Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:48:08.6178361Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:48:08.6202494Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T07:48:09.2781938Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:48:09.2966048Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:48:09.3366045Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:48:09.4367222Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:48:09.4533927Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:48:09.4926881Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:48:09.5530374Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:48:09.6010674Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:48:09.6461599Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:48:09.7747805Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:48:10.2806340Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:48:10.2868035Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T07:48:10.2903085Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T07:48:11.5814943Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:48:11.6545094Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:48:11.6581405Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:48:11.6594768Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:48:11.6607523Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:48:11.6620841Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:48:11.6634642Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:48:11.6647034Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:48:11.6659518Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:48:11.6671511Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:48:11.6703566Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T07:48:12.3348009Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T07:48:14.0332989Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T07:48:14.8305621Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T07:48:22.5724961Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T07:48:23.4009769Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T07:48:23.8556415Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T07:48:24.3760650Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T07:48:31.3039368Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:48:31.3432219Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:48:31.3592293Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:48:31.4593369Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:48:31.4724670Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:48:31.4864078Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:48:31.5006734Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:48:31.5030281Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:48:31.5041111Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:48:31.5063720Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-09-07T07:48:33.4620729Z Cloning into '/home/alice/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-09-07T07:48:34.7991861Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:48:34.8448206Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:48:35.4012817Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:48:35.4132374Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T07:48:35.6742984Z Submodule path 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2025-09-07T07:48:44.0594043Z submodules: recursive 2025-09-07T07:48:44.0594301Z show-progress: false 2025-09-07T07:48:44.0594593Z repository: pytorch/pytorch 2025-09-07T07:48:44.0595065Z token: *** 2025-09-07T07:48:44.0595293Z ssh-strict: true 2025-09-07T07:48:44.0595531Z ssh-user: git 2025-09-07T07:48:44.0595767Z persist-credentials: true 2025-09-07T07:48:44.0596228Z clean: true 2025-09-07T07:48:44.0596485Z sparse-checkout-cone-mode: true 2025-09-07T07:48:44.0596790Z fetch-tags: false 2025-09-07T07:48:44.0597016Z lfs: false 2025-09-07T07:48:44.0597253Z set-safe-directory: true 2025-09-07T07:48:44.0597520Z env: 2025-09-07T07:48:44.0597723Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:44.0597992Z ##[endgroup] 2025-09-07T07:48:44.1535935Z Syncing repository: pytorch/pytorch 2025-09-07T07:48:44.1538885Z ##[group]Getting Git version info 2025-09-07T07:48:44.1539287Z Working directory is '/home/alice/_work/pytorch/pytorch' 2025-09-07T07:48:44.1571478Z [command]/usr/bin/git version 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2025-09-07T07:48:44.2016865Z 7e1e1fe3858c63c251c637ae41a20de425dde96f android/libs/fbjni (v0.1.0-12-g7e1e1fe) 2025-09-07T07:48:44.2088011Z 4dfe081cf6bcd15db339cf2680b9281b8451eeb3 third_party/FP16 (4dfe081) 2025-09-07T07:48:44.2158812Z b408327ac2a15ec3e43352421954f5b1967701d1 third_party/FXdiv (b408327) 2025-09-07T07:48:44.2244178Z c07e3a0400713d546e0dea2d5466dd22ea389c73 third_party/NNPACK (c07e3a0) 2025-09-07T07:48:44.2296853Z 2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07 third_party/NVTX (v3.1.0-263-g2942f16) 2025-09-07T07:48:44.2385651Z 1d8f600fd424278486eade7ed3e877c99f0846b1 third_party/VulkanMemoryAllocator (v2.1.0-982-g1d8f600) 2025-09-07T07:48:44.2892846Z 51a0103656eff6fc9bfd39a4597923c4b542c883 third_party/XNNPACK (remotes/origin/ds/ndk-1243-g51a0103656) 2025-09-07T07:48:44.2929573Z 01aae101b9e5e94d6c16a9514c9fb8df99c93150 third_party/aiter (v0.1.1-92-g01aae101) 2025-09-07T07:48:44.2953841Z 299e5928955cc62af9968370293b916f5130916f third_party/benchmark (v1.9.3) 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http.https://github.com/.extraheader 2025-09-07T07:48:45.9152387Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:48:45.9174145Z http.https://github.com/.extraheader 2025-09-07T07:48:45.9210869Z Entering 'third_party/ittapi' 2025-09-07T07:48:45.9234013Z http.https://github.com/.extraheader 2025-09-07T07:48:45.9261657Z Entering 'third_party/kineto' 2025-09-07T07:48:45.9285415Z http.https://github.com/.extraheader 2025-09-07T07:48:45.9313538Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:48:45.9335688Z http.https://github.com/.extraheader 2025-09-07T07:48:45.9365482Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:48:45.9388044Z http.https://github.com/.extraheader 2025-09-07T07:48:45.9417041Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:48:45.9439449Z http.https://github.com/.extraheader 2025-09-07T07:48:45.9468922Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:48:45.9491256Z http.https://github.com/.extraheader 2025-09-07T07:48:45.9520829Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:48:45.9542847Z http.https://github.com/.extraheader 2025-09-07T07:48:45.9570148Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:48:45.9594039Z http.https://github.com/.extraheader 2025-09-07T07:48:45.9623626Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:48:45.9645844Z http.https://github.com/.extraheader 2025-09-07T07:48:45.9674452Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:48:45.9696285Z http.https://github.com/.extraheader 2025-09-07T07:48:45.9725485Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:48:45.9747917Z http.https://github.com/.extraheader 2025-09-07T07:48:45.9777136Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:48:45.9799534Z http.https://github.com/.extraheader 2025-09-07T07:48:45.9829826Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:48:45.9851270Z http.https://github.com/.extraheader 2025-09-07T07:48:45.9880755Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:48:45.9902487Z http.https://github.com/.extraheader 2025-09-07T07:48:45.9931593Z Entering 'third_party/kleidiai' 2025-09-07T07:48:45.9955507Z http.https://github.com/.extraheader 2025-09-07T07:48:45.9983625Z Entering 'third_party/mimalloc' 2025-09-07T07:48:46.0006540Z http.https://github.com/.extraheader 2025-09-07T07:48:46.0035346Z Entering 'third_party/nlohmann' 2025-09-07T07:48:46.0057866Z http.https://github.com/.extraheader 2025-09-07T07:48:46.0088765Z Entering 'third_party/onnx' 2025-09-07T07:48:46.0112142Z http.https://github.com/.extraheader 2025-09-07T07:48:46.0159317Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:48:46.0181098Z http.https://github.com/.extraheader 2025-09-07T07:48:46.0212915Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:48:46.0235899Z http.https://github.com/.extraheader 2025-09-07T07:48:46.0265697Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:48:46.0287360Z http.https://github.com/.extraheader 2025-09-07T07:48:46.0315405Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:48:46.0337072Z http.https://github.com/.extraheader 2025-09-07T07:48:46.0364644Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:48:46.0386986Z http.https://github.com/.extraheader 2025-09-07T07:48:46.0413849Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:48:46.0436565Z http.https://github.com/.extraheader 2025-09-07T07:48:46.0465536Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:48:46.0487917Z http.https://github.com/.extraheader 2025-09-07T07:48:46.0515703Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:48:46.0537457Z http.https://github.com/.extraheader 2025-09-07T07:48:46.0565092Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:48:46.0588155Z http.https://github.com/.extraheader 2025-09-07T07:48:46.0615707Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:48:46.0637747Z http.https://github.com/.extraheader 2025-09-07T07:48:46.0669084Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:48:46.0691180Z http.https://github.com/.extraheader 2025-09-07T07:48:46.0721103Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:48:46.0742702Z http.https://github.com/.extraheader 2025-09-07T07:48:46.0793133Z Entering 'third_party/pocketfft' 2025-09-07T07:48:46.0816137Z http.https://github.com/.extraheader 2025-09-07T07:48:46.0846158Z Entering 'third_party/protobuf' 2025-09-07T07:48:46.0869896Z http.https://github.com/.extraheader 2025-09-07T07:48:46.0901939Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:48:46.0924172Z http.https://github.com/.extraheader 2025-09-07T07:48:46.0951846Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:48:46.0973641Z http.https://github.com/.extraheader 2025-09-07T07:48:46.1002864Z Entering 'third_party/psimd' 2025-09-07T07:48:46.1026715Z http.https://github.com/.extraheader 2025-09-07T07:48:46.1055611Z Entering 'third_party/pthreadpool' 2025-09-07T07:48:46.1078406Z http.https://github.com/.extraheader 2025-09-07T07:48:46.1107572Z Entering 'third_party/pybind11' 2025-09-07T07:48:46.1130216Z http.https://github.com/.extraheader 2025-09-07T07:48:46.1159187Z Entering 'third_party/python-peachpy' 2025-09-07T07:48:46.1182134Z http.https://github.com/.extraheader 2025-09-07T07:48:46.1210212Z Entering 'third_party/sleef' 2025-09-07T07:48:46.1233714Z http.https://github.com/.extraheader 2025-09-07T07:48:46.1261516Z Entering 'third_party/tensorpipe' 2025-09-07T07:48:46.1284894Z http.https://github.com/.extraheader 2025-09-07T07:48:46.1313388Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:48:46.1334858Z http.https://github.com/.extraheader 2025-09-07T07:48:46.1365492Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:48:46.1388926Z http.https://github.com/.extraheader 2025-09-07T07:48:46.1417644Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:48:46.1440169Z http.https://github.com/.extraheader 2025-09-07T07:48:46.1468414Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:48:46.1490825Z http.https://github.com/.extraheader 2025-09-07T07:48:46.1518196Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:48:46.1540331Z http.https://github.com/.extraheader 2025-09-07T07:48:46.1587827Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:48:46.1622244Z ##[endgroup] 2025-09-07T07:48:46.1622668Z ##[group]Fetching the repository 2025-09-07T07:48:46.1629687Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:48:46.8349134Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:48:46.8370430Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:48:46.8375017Z ##[endgroup] 2025-09-07T07:48:46.8375488Z ##[group]Determining the checkout info 2025-09-07T07:48:46.8376062Z ##[endgroup] 2025-09-07T07:48:46.8379804Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:48:46.8581678Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:48:46.8605821Z ##[group]Checking out the ref 2025-09-07T07:48:46.8610101Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:48:46.8990052Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:48:46.8995846Z ##[endgroup] 2025-09-07T07:48:46.8996285Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:48:46.9000020Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:48:46.9037976Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:48:46.9061275Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:48:46.9086559Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:48:46.9108913Z ##[endgroup] 2025-09-07T07:48:46.9109380Z ##[group]Fetching submodules 2025-09-07T07:48:46.9112213Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:48:46.9337997Z Synchronizing submodule url for 'android/libs/fbjni' 2025-09-07T07:48:46.9358145Z Synchronizing submodule url for 'third_party/FP16' 2025-09-07T07:48:46.9380298Z Synchronizing submodule url for 'third_party/FXdiv' 2025-09-07T07:48:46.9401116Z Synchronizing submodule url for 'third_party/NNPACK' 2025-09-07T07:48:46.9421515Z Synchronizing submodule url for 'third_party/NVTX' 2025-09-07T07:48:46.9444011Z Synchronizing submodule url for 'third_party/VulkanMemoryAllocator' 2025-09-07T07:48:46.9464712Z Synchronizing submodule url for 'third_party/XNNPACK' 2025-09-07T07:48:46.9501668Z Synchronizing submodule url for 'third_party/aiter' 2025-09-07T07:48:46.9521888Z Synchronizing submodule url for 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:48:46.9550496Z Synchronizing submodule url for 'third_party/benchmark' 2025-09-07T07:48:46.9570803Z Synchronizing submodule url for 'third_party/composable_kernel' 2025-09-07T07:48:46.9601734Z Synchronizing submodule url for 'third_party/cpp-httplib' 2025-09-07T07:48:46.9622137Z Synchronizing submodule url for 'third_party/cpuinfo' 2025-09-07T07:48:46.9643765Z Synchronizing submodule url for 'third_party/cudnn_frontend' 2025-09-07T07:48:46.9665025Z Synchronizing submodule url for 'third_party/cutlass' 2025-09-07T07:48:46.9695020Z Synchronizing submodule url for 'third_party/fbgemm' 2025-09-07T07:48:46.9716588Z Synchronizing submodule url for 'third_party/fbgemm/external/asmjit' 2025-09-07T07:48:46.9735277Z Synchronizing submodule url for 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:48:46.9762460Z Synchronizing submodule url for 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:48:46.9781524Z Synchronizing submodule url for 'third_party/fbgemm/external/cutlass' 2025-09-07T07:48:46.9810970Z Synchronizing submodule 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Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:48:47.0258508Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:48:47.0278265Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:48:47.0298306Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:48:47.0319020Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:48:47.0339072Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:48:47.0358877Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:48:47.0382639Z Synchronizing submodule url for 'third_party/kleidiai' 2025-09-07T07:48:47.0403818Z Synchronizing submodule url for 'third_party/mimalloc' 2025-09-07T07:48:47.0424381Z Synchronizing submodule url for 'third_party/nlohmann' 2025-09-07T07:48:47.0446559Z Synchronizing submodule url for 'third_party/onnx' 2025-09-07T07:48:47.0484098Z Synchronizing submodule url for 'third_party/onnx/third_party/pybind11' 2025-09-07T07:48:47.0507123Z Synchronizing submodule url for 'third_party/opentelemetry-cpp' 2025-09-07T07:48:47.0528355Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:48:47.0546904Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:48:47.0565968Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:48:47.0584691Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:48:47.0605296Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:48:47.0623831Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:48:47.0643084Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:48:47.0661898Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:48:47.0682034Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:48:47.0702147Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:48:47.0741276Z Synchronizing submodule url for 'third_party/pocketfft' 2025-09-07T07:48:47.0762001Z Synchronizing submodule url for 'third_party/protobuf' 2025-09-07T07:48:47.0783585Z Synchronizing submodule url for 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:48:47.0801850Z Synchronizing submodule url for 'third_party/protobuf/third_party/googletest' 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:48:47.1049954Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:48:47.1399471Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:48:47.1515223Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:48:47.1601063Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:48:47.1830789Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:48:47.2778708Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:48:47.3156315Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:48:47.5058236Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:48:47.7458909Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:48:48.0619901Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:48:48.0821469Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:48:48.5121250Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:48:48.5784481Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:48:48.7218352Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:48:48.7634008Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:48:49.8236270Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:48:49.9664148Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:48:50.0345833Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:48:50.0735030Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:48:50.2177322Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:48:50.2785844Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:48:50.3175609Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:48:50.3304654Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:48:50.4439904Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:48:50.5285441Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:48:50.7940641Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:48:51.6429766Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:48:51.7194524Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:48:51.7501898Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:48:51.8031014Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:48:51.8333186Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:48:51.8774013Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:48:51.9030731Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:48:52.8416817Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:48:52.8644243Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:48:52.9664281Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:48:53.1373773Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:48:53.3470129Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:48:53.3626244Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:48:53.3947776Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:48:53.4079029Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:48:53.4170759Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:48:53.4321880Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:48:53.4688547Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:48:53.5651034Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:48:53.5811373Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:48:53.6113516Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:48:53.6485074Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:48:53.6950473Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:48:53.7548027Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:48:53.8819266Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:48:54.0638270Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:48:54.0987287Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:48:54.1658828Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:48:54.1829741Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:48:54.2198767Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:48:54.2317838Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:48:54.3690284Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:48:54.3855133Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:48:54.4010069Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:48:54.4143771Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:48:54.7790898Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:48:54.8190392Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:48:55.0170513Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:48:55.0306172Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T07:48:55.3328520Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-09-07T07:48:55.3461064Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-09-07T07:48:55.3903152Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-09-07T07:48:55.3988556Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-09-07T07:48:55.4135378Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-09-07T07:48:55.4508462Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8' 2025-09-07T07:48:55.5007589Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-09-07T07:48:55.5545462Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-09-07T07:48:55.5755167Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075' 2025-09-07T07:48:55.6121371Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-09-07T07:48:55.6267479Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-09-07T07:48:55.6826492Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-09-07T07:48:55.7069805Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' 2025-09-07T07:48:55.7158591Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' 2025-09-07T07:48:55.7190986Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-09-07T07:48:55.7427621Z Entering 'android/libs/fbjni' 2025-09-07T07:48:55.7463767Z Entering 'third_party/FP16' 2025-09-07T07:48:55.7499417Z Entering 'third_party/FXdiv' 2025-09-07T07:48:55.7534197Z Entering 'third_party/NNPACK' 2025-09-07T07:48:55.7569999Z Entering 'third_party/NVTX' 2025-09-07T07:48:55.7605129Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:48:55.7640070Z Entering 'third_party/XNNPACK' 2025-09-07T07:48:55.7690583Z Entering 'third_party/aiter' 2025-09-07T07:48:55.7726949Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:48:55.7768864Z Entering 'third_party/benchmark' 2025-09-07T07:48:55.7803846Z Entering 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2025-09-07T07:48:55.9202375Z Entering 'third_party/mimalloc' 2025-09-07T07:48:55.9236770Z Entering 'third_party/nlohmann' 2025-09-07T07:48:55.9274381Z Entering 'third_party/onnx' 2025-09-07T07:48:55.9327436Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:48:55.9363200Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:48:55.9400020Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:48:55.9433963Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:48:55.9465802Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:48:55.9498947Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:48:55.9533420Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:48:55.9565789Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:48:55.9599045Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:48:55.9630458Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:48:55.9665779Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:48:55.9700388Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:48:55.9755280Z Entering 'third_party/pocketfft' 2025-09-07T07:48:55.9790299Z Entering 'third_party/protobuf' 2025-09-07T07:48:55.9828736Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:48:55.9860992Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:48:55.9895845Z Entering 'third_party/psimd' 2025-09-07T07:48:55.9929804Z Entering 'third_party/pthreadpool' 2025-09-07T07:48:55.9963691Z Entering 'third_party/pybind11' 2025-09-07T07:48:55.9998707Z Entering 'third_party/python-peachpy' 2025-09-07T07:48:56.0032997Z Entering 'third_party/sleef' 2025-09-07T07:48:56.0068418Z Entering 'third_party/tensorpipe' 2025-09-07T07:48:56.0101373Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:48:56.0134469Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:48:56.0167163Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:48:56.0200546Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:48:56.0233703Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:48:56.0278239Z ##[endgroup] 2025-09-07T07:48:56.0278706Z ##[group]Persisting credentials for submodules 2025-09-07T07:48:56.0285050Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :" 2025-09-07T07:48:56.0509888Z Entering 'android/libs/fbjni' 2025-09-07T07:48:56.0532490Z url.https://github.com/.insteadof 2025-09-07T07:48:56.0532855Z url.https://github.com/.insteadof 2025-09-07T07:48:56.0562193Z Entering 'third_party/FP16' 2025-09-07T07:48:56.0585981Z url.https://github.com/.insteadof 2025-09-07T07:48:56.0586404Z url.https://github.com/.insteadof 2025-09-07T07:48:56.0614048Z Entering 'third_party/FXdiv' 2025-09-07T07:48:56.0637653Z url.https://github.com/.insteadof 2025-09-07T07:48:56.0638091Z url.https://github.com/.insteadof 2025-09-07T07:48:56.0666317Z Entering 'third_party/NNPACK' 2025-09-07T07:48:56.0688859Z url.https://github.com/.insteadof 2025-09-07T07:48:56.0689241Z url.https://github.com/.insteadof 2025-09-07T07:48:56.0719431Z Entering 'third_party/NVTX' 2025-09-07T07:48:56.0743049Z url.https://github.com/.insteadof 2025-09-07T07:48:56.0743402Z url.https://github.com/.insteadof 2025-09-07T07:48:56.0771214Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:48:56.0798629Z url.https://github.com/.insteadof 2025-09-07T07:48:56.0799016Z url.https://github.com/.insteadof 2025-09-07T07:48:56.0826569Z Entering 'third_party/XNNPACK' 2025-09-07T07:48:56.0848853Z url.https://github.com/.insteadof 2025-09-07T07:48:56.0849275Z url.https://github.com/.insteadof 2025-09-07T07:48:56.0892265Z Entering 'third_party/aiter' 2025-09-07T07:48:56.0915811Z url.https://github.com/.insteadof 2025-09-07T07:48:56.0916446Z url.https://github.com/.insteadof 2025-09-07T07:48:56.0958714Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:48:56.0980694Z url.https://github.com/.insteadof 2025-09-07T07:48:56.0981042Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1023064Z Entering 'third_party/benchmark' 2025-09-07T07:48:56.1045718Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1046061Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1079792Z Entering 'third_party/composable_kernel' 2025-09-07T07:48:56.1104134Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1104523Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1145453Z Entering 'third_party/cpp-httplib' 2025-09-07T07:48:56.1169472Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1169831Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1199404Z Entering 'third_party/cpuinfo' 2025-09-07T07:48:56.1221484Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1221853Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1250662Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:48:56.1274155Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1274540Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1305453Z Entering 'third_party/cutlass' 2025-09-07T07:48:56.1328279Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1328655Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1371297Z Entering 'third_party/fbgemm' 2025-09-07T07:48:56.1394707Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1395155Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1429529Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:48:56.1451204Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1451581Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1479949Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:48:56.1501866Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1502236Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1539944Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:48:56.1562688Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1563063Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1608939Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:48:56.1631020Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1631372Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1673559Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:48:56.1695215Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1695584Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1724811Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:48:56.1748730Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1749108Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1780504Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:48:56.1803627Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1803994Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1837264Z Entering 'third_party/flash-attention' 2025-09-07T07:48:56.1860255Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1860600Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1888562Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:48:56.1910898Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1911244Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1947544Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:48:56.1970425Z url.https://github.com/.insteadof 2025-09-07T07:48:56.1970827Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2007941Z Entering 'third_party/flatbuffers' 2025-09-07T07:48:56.2030935Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2031307Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2061017Z Entering 'third_party/fmt' 2025-09-07T07:48:56.2083819Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2084165Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2111982Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:48:56.2134857Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2135408Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2164256Z Entering 'third_party/gloo' 2025-09-07T07:48:56.2187106Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2187574Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2216430Z Entering 'third_party/googletest' 2025-09-07T07:48:56.2239906Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2240295Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2268961Z Entering 'third_party/ideep' 2025-09-07T07:48:56.2291955Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2292316Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2319280Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:48:56.2341133Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2341475Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2378935Z Entering 'third_party/ittapi' 2025-09-07T07:48:56.2402298Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2402634Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2431987Z Entering 'third_party/kineto' 2025-09-07T07:48:56.2454944Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2455307Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2485745Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:48:56.2508532Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2508881Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2536402Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:48:56.2558937Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2559275Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2589462Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:48:56.2611757Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2612331Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2640947Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:48:56.2662400Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2662794Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2692702Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:48:56.2715884Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2716235Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2743400Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:48:56.2765786Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2766133Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2799079Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:48:56.2821307Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2821657Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2852808Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:48:56.2875503Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2875873Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2904939Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:48:56.2927007Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2927374Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2956586Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:48:56.2979579Z url.https://github.com/.insteadof 2025-09-07T07:48:56.2980027Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3010200Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:48:56.3033503Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3033867Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3061506Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:48:56.3083249Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3083640Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3112939Z Entering 'third_party/kleidiai' 2025-09-07T07:48:56.3136366Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3136935Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3166594Z Entering 'third_party/mimalloc' 2025-09-07T07:48:56.3189827Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3190178Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3216992Z Entering 'third_party/nlohmann' 2025-09-07T07:48:56.3240467Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3240837Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3270319Z Entering 'third_party/onnx' 2025-09-07T07:48:56.3292909Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3293272Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3339354Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:48:56.3361987Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3362348Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3393001Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:48:56.3416904Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3417517Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3447324Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:48:56.3469405Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3469759Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3497579Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:48:56.3520515Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3520872Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3550001Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:48:56.3571856Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3572201Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3600505Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:48:56.3622673Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3623245Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3654064Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:48:56.3677607Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3677966Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3706187Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:48:56.3728259Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3728610Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3755927Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:48:56.3778438Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3778807Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3805292Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:48:56.3828661Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3829010Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3859270Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:48:56.3881502Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3881862Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3911078Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:48:56.3933023Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3933387Z url.https://github.com/.insteadof 2025-09-07T07:48:56.3984935Z Entering 'third_party/pocketfft' 2025-09-07T07:48:56.4008846Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4009397Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4036878Z Entering 'third_party/protobuf' 2025-09-07T07:48:56.4060125Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4060744Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4091348Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:48:56.4114534Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4114911Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4143327Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:48:56.4166071Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4166438Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4197840Z Entering 'third_party/psimd' 2025-09-07T07:48:56.4221797Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4222426Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4249895Z Entering 'third_party/pthreadpool' 2025-09-07T07:48:56.4272424Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4272791Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4300195Z Entering 'third_party/pybind11' 2025-09-07T07:48:56.4323026Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4323376Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4351357Z Entering 'third_party/python-peachpy' 2025-09-07T07:48:56.4373306Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4373649Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4402059Z Entering 'third_party/sleef' 2025-09-07T07:48:56.4425214Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4425592Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4454551Z Entering 'third_party/tensorpipe' 2025-09-07T07:48:56.4478017Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4478435Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4506121Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:48:56.4528071Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4528436Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4556269Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:48:56.4578634Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4578976Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4609924Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:48:56.4630891Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4631294Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4659254Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:48:56.4682235Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4682950Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4710344Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:48:56.4733113Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4733502Z url.https://github.com/.insteadof 2025-09-07T07:48:56.4778624Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-09-07T07:48:56.5003963Z Entering 'android/libs/fbjni' 2025-09-07T07:48:56.5039045Z file:/home/alice/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:48:56.5055515Z Entering 'third_party/FP16' 2025-09-07T07:48:56.5091907Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:48:56.5108834Z Entering 'third_party/FXdiv' 2025-09-07T07:48:56.5143287Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:48:56.5160400Z Entering 'third_party/NNPACK' 2025-09-07T07:48:56.5195808Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-09-07T07:48:56.5211684Z Entering 'third_party/NVTX' 2025-09-07T07:48:56.5252150Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-09-07T07:48:56.5270011Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:48:56.5308728Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-09-07T07:48:56.5325256Z Entering 'third_party/XNNPACK' 2025-09-07T07:48:56.5360889Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-09-07T07:48:56.5394313Z Entering 'third_party/aiter' 2025-09-07T07:48:56.5430471Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-09-07T07:48:56.5449059Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:48:56.5488541Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-09-07T07:48:56.5514946Z Entering 'third_party/benchmark' 2025-09-07T07:48:56.5552116Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:48:56.5568639Z Entering 'third_party/composable_kernel' 2025-09-07T07:48:56.5606352Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-09-07T07:48:56.5633249Z Entering 'third_party/cpp-httplib' 2025-09-07T07:48:56.5668396Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2025-09-07T07:48:56.5685321Z Entering 'third_party/cpuinfo' 2025-09-07T07:48:56.5726986Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-09-07T07:48:56.5744000Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:48:56.5778312Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-09-07T07:48:56.5794793Z Entering 'third_party/cutlass' 2025-09-07T07:48:56.5831595Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-09-07T07:48:56.5859778Z Entering 'third_party/fbgemm' 2025-09-07T07:48:56.5895848Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-09-07T07:48:56.5918714Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:48:56.5953497Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-09-07T07:48:56.5969509Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:48:56.6005646Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-09-07T07:48:56.6029454Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:48:56.6066577Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-09-07T07:48:56.6082937Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:48:56.6122060Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-09-07T07:48:56.6147889Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:48:56.6181992Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-09-07T07:48:56.6197640Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:48:56.6232791Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-09-07T07:48:56.6248219Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:48:56.6283602Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-09-07T07:48:56.6302772Z Entering 'third_party/flash-attention' 2025-09-07T07:48:56.6338150Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-09-07T07:48:56.6355712Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:48:56.6388543Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-09-07T07:48:56.6410477Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:48:56.6447226Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-09-07T07:48:56.6472149Z Entering 'third_party/flatbuffers' 2025-09-07T07:48:56.6508061Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-09-07T07:48:56.6529205Z Entering 'third_party/fmt' 2025-09-07T07:48:56.6566029Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:48:56.6582542Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:48:56.6616786Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-09-07T07:48:56.6634006Z Entering 'third_party/gloo' 2025-09-07T07:48:56.6669007Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-09-07T07:48:56.6685898Z Entering 'third_party/googletest' 2025-09-07T07:48:56.6721060Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:48:56.6737578Z Entering 'third_party/ideep' 2025-09-07T07:48:56.6772536Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-09-07T07:48:56.6788770Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:48:56.6821565Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-09-07T07:48:56.6846555Z Entering 'third_party/ittapi' 2025-09-07T07:48:56.6880726Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T07:48:56.6897548Z Entering 'third_party/kineto' 2025-09-07T07:48:56.6932129Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-09-07T07:48:56.6948629Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:48:56.6982756Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-09-07T07:48:56.6998716Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:48:56.7033417Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-09-07T07:48:56.7050241Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:48:56.7086180Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T07:48:56.7103379Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:48:56.7138394Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:48:56.7154824Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:48:56.7189830Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-09-07T07:48:56.7204847Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:48:56.7240537Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2025-09-07T07:48:56.7257479Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:48:56.7291967Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T07:48:56.7309242Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:48:56.7343985Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:48:56.7360455Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:48:56.7395277Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2025-09-07T07:48:56.7412053Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:48:56.7451584Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2025-09-07T07:48:56.7469877Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:48:56.7503489Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2025-09-07T07:48:56.7519132Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:48:56.7553223Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T07:48:56.7570037Z Entering 'third_party/kleidiai' 2025-09-07T07:48:56.7604208Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-09-07T07:48:56.7621133Z Entering 'third_party/mimalloc' 2025-09-07T07:48:56.7655607Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T07:48:56.7673102Z Entering 'third_party/nlohmann' 2025-09-07T07:48:56.7707316Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T07:48:56.7725917Z Entering 'third_party/onnx' 2025-09-07T07:48:56.7761388Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T07:48:56.7797558Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:48:56.7833729Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:48:56.7851785Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:48:56.7887837Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T07:48:56.7905490Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:48:56.7940848Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:48:56.7957653Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:48:56.7993582Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:48:56.8009481Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:48:56.8044257Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T07:48:56.8059773Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:48:56.8093065Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T07:48:56.8110658Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:48:56.8144968Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T07:48:56.8161075Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:48:56.8195396Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2025-09-07T07:48:56.8210475Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:48:56.8245176Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2025-09-07T07:48:56.8259663Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:48:56.8293360Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2025-09-07T07:48:56.8312795Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:48:56.8352593Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-09-07T07:48:56.8369360Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:48:56.8405847Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T07:48:56.8443362Z Entering 'third_party/pocketfft' 2025-09-07T07:48:56.8477975Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T07:48:56.8494678Z Entering 'third_party/protobuf' 2025-09-07T07:48:56.8529019Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T07:48:56.8550283Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:48:56.8584367Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:48:56.8601417Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:48:56.8635863Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:48:56.8653510Z Entering 'third_party/psimd' 2025-09-07T07:48:56.8688947Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2025-09-07T07:48:56.8705235Z Entering 'third_party/pthreadpool' 2025-09-07T07:48:56.8758937Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2025-09-07T07:48:56.8775914Z Entering 'third_party/pybind11' 2025-09-07T07:48:56.8817202Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:48:56.8834374Z Entering 'third_party/python-peachpy' 2025-09-07T07:48:56.8869382Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2025-09-07T07:48:56.8885911Z Entering 'third_party/sleef' 2025-09-07T07:48:56.8920770Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2025-09-07T07:48:56.8937331Z Entering 'third_party/tensorpipe' 2025-09-07T07:48:56.8978507Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2025-09-07T07:48:56.8995378Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:48:56.9040024Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:48:56.9056467Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:48:56.9093267Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-09-07T07:48:56.9109127Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:48:56.9150647Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-09-07T07:48:56.9167881Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:48:56.9202476Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:48:56.9218340Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:48:56.9265962Z file:/home/alice/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-09-07T07:48:56.9518522Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T07:48:56.9751894Z Entering 'android/libs/fbjni' 2025-09-07T07:48:56.9787277Z Entering 'third_party/FP16' 2025-09-07T07:48:56.9821625Z Entering 'third_party/FXdiv' 2025-09-07T07:48:56.9857728Z Entering 'third_party/NNPACK' 2025-09-07T07:48:56.9894501Z Entering 'third_party/NVTX' 2025-09-07T07:48:56.9930114Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:48:56.9964791Z Entering 'third_party/XNNPACK' 2025-09-07T07:48:57.0022912Z Entering 'third_party/aiter' 2025-09-07T07:48:57.0058124Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:48:57.0103677Z Entering 'third_party/benchmark' 2025-09-07T07:48:57.0138431Z Entering 'third_party/composable_kernel' 2025-09-07T07:48:57.0184127Z Entering 'third_party/cpp-httplib' 2025-09-07T07:48:57.0218362Z Entering 'third_party/cpuinfo' 2025-09-07T07:48:57.0255475Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:48:57.0290373Z Entering 'third_party/cutlass' 2025-09-07T07:48:57.0334488Z Entering 'third_party/fbgemm' 2025-09-07T07:48:57.0371049Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:48:57.0407522Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:48:57.0451183Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:48:57.0485829Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:48:57.0528917Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:48:57.0562955Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:48:57.0597142Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:48:57.0633201Z Entering 'third_party/flash-attention' 2025-09-07T07:48:57.0668690Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:48:57.0706778Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:48:57.0747484Z Entering 'third_party/flatbuffers' 2025-09-07T07:48:57.0783551Z Entering 'third_party/fmt' 2025-09-07T07:48:57.0820885Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:48:57.0855776Z Entering 'third_party/gloo' 2025-09-07T07:48:57.0892255Z Entering 'third_party/googletest' 2025-09-07T07:48:57.0926226Z Entering 'third_party/ideep' 2025-09-07T07:48:57.0959484Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:48:57.1001454Z Entering 'third_party/ittapi' 2025-09-07T07:48:57.1036475Z Entering 'third_party/kineto' 2025-09-07T07:48:57.1071279Z Entering 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2025-09-07T07:48:57.2875672Z Entering 'third_party/FP16' 2025-09-07T07:48:57.2910530Z Entering 'third_party/FXdiv' 2025-09-07T07:48:57.2944729Z Entering 'third_party/NNPACK' 2025-09-07T07:48:57.2979048Z Entering 'third_party/NVTX' 2025-09-07T07:48:57.3013575Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:48:57.3047525Z Entering 'third_party/XNNPACK' 2025-09-07T07:48:57.3099538Z Entering 'third_party/aiter' 2025-09-07T07:48:57.3134298Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:48:57.3175781Z Entering 'third_party/benchmark' 2025-09-07T07:48:57.3209787Z Entering 'third_party/composable_kernel' 2025-09-07T07:48:57.3252919Z Entering 'third_party/cpp-httplib' 2025-09-07T07:48:57.3287547Z Entering 'third_party/cpuinfo' 2025-09-07T07:48:57.3322357Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:48:57.3360557Z Entering 'third_party/cutlass' 2025-09-07T07:48:57.3403598Z Entering 'third_party/fbgemm' 2025-09-07T07:48:57.3441381Z Entering 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2025-09-07T07:48:57.3962379Z Entering 'third_party/googletest' 2025-09-07T07:48:57.3997543Z Entering 'third_party/ideep' 2025-09-07T07:48:57.4030979Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:48:57.4072418Z Entering 'third_party/ittapi' 2025-09-07T07:48:57.4108573Z Entering 'third_party/kineto' 2025-09-07T07:48:57.4148312Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:48:57.4186298Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:48:57.4222223Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:48:57.4255746Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:48:57.4290522Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:48:57.4328075Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:48:57.4363288Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:48:57.4396689Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:48:57.4433570Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:48:57.4468768Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:48:57.4507062Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:48:57.4541300Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:48:57.4579657Z Entering 'third_party/kleidiai' 2025-09-07T07:48:57.4615164Z Entering 'third_party/mimalloc' 2025-09-07T07:48:57.4649758Z Entering 'third_party/nlohmann' 2025-09-07T07:48:57.4686374Z Entering 'third_party/onnx' 2025-09-07T07:48:57.4740873Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:48:57.4779470Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:48:57.4819454Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:48:57.4855335Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:48:57.4888121Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:48:57.4922227Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:48:57.4962561Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:48:57.4998103Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:48:57.5031220Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:48:57.5062723Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:48:57.5102733Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:48:57.5138831Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:48:57.5195045Z Entering 'third_party/pocketfft' 2025-09-07T07:48:57.5231308Z Entering 'third_party/protobuf' 2025-09-07T07:48:57.5269467Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:48:57.5302176Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:48:57.5337481Z Entering 'third_party/psimd' 2025-09-07T07:48:57.5373723Z Entering 'third_party/pthreadpool' 2025-09-07T07:48:57.5409581Z Entering 'third_party/pybind11' 2025-09-07T07:48:57.5449027Z Entering 'third_party/python-peachpy' 2025-09-07T07:48:57.5484100Z Entering 'third_party/sleef' 2025-09-07T07:48:57.5518896Z Entering 'third_party/tensorpipe' 2025-09-07T07:48:57.5559581Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:48:57.5592258Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:48:57.5623925Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:48:57.5656566Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:48:57.5689398Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:48:57.5735869Z ##[endgroup] 2025-09-07T07:48:57.5774493Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T07:48:57.5796131Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:48:57.5964352Z Prepare all required actions 2025-09-07T07:48:57.5964905Z Getting action download info 2025-09-07T07:48:57.9361256Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T07:48:57.9361596Z env: 2025-09-07T07:48:57.9361820Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:57.9362075Z ##[endgroup] 2025-09-07T07:48:57.9399672Z ##[group]Run set -euo pipefail 2025-09-07T07:48:57.9400065Z set -euo pipefail 2025-09-07T07:48:57.9400358Z function get_ec2_metadata() { 2025-09-07T07:48:57.9400754Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T07:48:57.9401413Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T07:48:57.9402004Z  category=$1 2025-09-07T07:48:57.9402382Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T07:48:57.9402847Z  runner_name_str=i-04bedcebd1f4c5e73-1001 2025-09-07T07:48:57.9403282Z  if [[ -f /.inarc ]]; then 2025-09-07T07:48:57.9403647Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T07:48:57.9404042Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T07:48:57.9404539Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T07:48:57.9404986Z  else 2025-09-07T07:48:57.9405885Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-09-07T07:48:57.9406843Z  fi 2025-09-07T07:48:57.9407050Z } 2025-09-07T07:48:57.9407323Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T07:48:57.9407767Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T07:48:57.9408264Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T07:48:57.9408867Z echo "system info $(uname -a)" 2025-09-07T07:48:57.9421429Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:48:57.9421828Z env: 2025-09-07T07:48:57.9422053Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:57.9422328Z ##[endgroup] 2025-09-07T07:48:57.9456679Z ami-id: ARC Runner, no info on ec2 metadata 2025-09-07T07:48:57.9461042Z instance-id: ARC Runner, no info on ec2 metadata 2025-09-07T07:48:57.9465714Z instance-type: ARC Runner, no info on ec2 metadata 2025-09-07T07:48:57.9475518Z system info Linux 5b29241bb6e3 6.5.0-1024-aws #24~22.04.1-Ubuntu SMP Thu Jul 18 10:43:12 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T07:48:57.9494865Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:48:57.9496206Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:48:57.9508999Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:48:57.9509405Z env: 2025-09-07T07:48:57.9509628Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:57.9509897Z ##[endgroup] 2025-09-07T07:48:57.9582861Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:48:57.9583180Z with: 2025-09-07T07:48:57.9583374Z shell: bash 2025-09-07T07:48:57.9583608Z timeout_minutes: 5 2025-09-07T07:48:57.9583857Z max_attempts: 3 2025-09-07T07:48:57.9584104Z retry_wait_seconds: 30 2025-09-07T07:48:57.9586969Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-09-07T07:48:57.9589416Z polling_interval_seconds: 1 2025-09-07T07:48:57.9589712Z warning_on_retry: true 2025-09-07T07:48:57.9589975Z continue_on_error: false 2025-09-07T07:48:57.9590242Z env: 2025-09-07T07:48:57.9590461Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:57.9590744Z AWS_RETRY_MODE: standard 2025-09-07T07:48:57.9591005Z AWS_MAX_ATTEMPTS: 5 2025-09-07T07:48:57.9591275Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T07:48:57.9591565Z ##[endgroup] 2025-09-07T07:49:00.3916762Z 2025-09-07T07:49:00.3917362Z WARNING! Your credentials are stored unencrypted in '/home/alice/.docker/config.json'. 2025-09-07T07:49:00.3918003Z Configure a credential helper to remove this warning. See 2025-09-07T07:49:00.3918480Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:49:00.3918733Z 2025-09-07T07:49:00.3918824Z Login Succeeded 2025-09-07T07:49:01.0375084Z Command completed after 1 attempt(s). 2025-09-07T07:49:01.0434228Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:49:01.0434794Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:49:01.0435273Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:49:01.0448553Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:01.0448939Z env: 2025-09-07T07:49:01.0449164Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:01.0449540Z ##[endgroup] 2025-09-07T07:49:01.0533807Z ##[group]Run set +e 2025-09-07T07:49:01.0534282Z set +e 2025-09-07T07:49:01.0534591Z set -x 2025-09-07T07:49:01.0534833Z  2025-09-07T07:49:01.0535075Z PT_DOMAIN=download.pytorch.org 2025-09-07T07:49:01.0535691Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T07:49:01.0536486Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T07:49:01.0537726Z # one is returned at random 2025-09-07T07:49:01.0538144Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T07:49:01.0538661Z  2025-09-07T07:49:01.0539088Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:49:01.0539881Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T07:49:01.0540791Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T07:49:01.0541202Z  2025-09-07T07:49:01.0541434Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:49:01.0541837Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T07:49:01.0542218Z  exit 1 2025-09-07T07:49:01.0542459Z  fi 2025-09-07T07:49:01.0542670Z fi 2025-09-07T07:49:01.0542914Z  2025-09-07T07:49:01.0543380Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T07:49:01.0544063Z  # Clean up any old records first 2025-09-07T07:49:01.0544579Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T07:49:01.0544920Z fi 2025-09-07T07:49:01.0545137Z  2025-09-07T07:49:01.0545460Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T07:49:01.0545861Z cat /etc/hosts 2025-09-07T07:49:01.0559239Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:01.0559722Z env: 2025-09-07T07:49:01.0560100Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:01.0560554Z ##[endgroup] 2025-09-07T07:49:01.0601972Z + PT_DOMAIN=download.pytorch.org 2025-09-07T07:49:01.0607082Z ++ dig -4 +short download.pytorch.org 2025-09-07T07:49:01.0610214Z ++ tail -n1 2025-09-07T07:49:01.0799844Z + RESOLVED_IP=3.163.24.60 2025-09-07T07:49:01.0800346Z + '[' -z 3.163.24.60 ']' 2025-09-07T07:49:01.0800869Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T07:49:01.0813960Z + echo '3.163.24.60 download.pytorch.org' 2025-09-07T07:49:01.0815006Z + sudo tee -a /etc/hosts 2025-09-07T07:49:01.0875996Z 3.163.24.60 download.pytorch.org 2025-09-07T07:49:01.0884255Z + cat /etc/hosts 2025-09-07T07:49:01.0891445Z 127.0.0.1 localhost 2025-09-07T07:49:01.0896026Z ::1 localhost ip6-localhost ip6-loopback 2025-09-07T07:49:01.0896400Z fe00:: ip6-localnet 2025-09-07T07:49:01.0896639Z ff00:: ip6-mcastprefix 2025-09-07T07:49:01.0896902Z ff02::1 ip6-allnodes 2025-09-07T07:49:01.0897157Z ff02::2 ip6-allrouters 2025-09-07T07:49:01.0897411Z 172.17.0.2 5b29241bb6e3 2025-09-07T07:49:01.0897666Z 3.163.24.60 download.pytorch.org 2025-09-07T07:49:01.0918559Z ##[group]Run set +x 2025-09-07T07:49:01.0918849Z set +x 2025-09-07T07:49:01.0919079Z  2025-09-07T07:49:01.0919307Z max_attempts=30 2025-09-07T07:49:01.0919561Z delay=10 2025-09-07T07:49:01.0919796Z attempt=1 2025-09-07T07:49:01.0920035Z  2025-09-07T07:49:01.0920310Z for attempt in $(seq 1 $max_attempts); do 2025-09-07T07:49:01.0920864Z  echo "Attempt $attempt of $max_attempts: Checking if Docker daemon is running..." 2025-09-07T07:49:01.0921404Z  if docker info > /dev/null 2>&1; then 2025-09-07T07:49:01.0921849Z  echo "Docker is running. Proceeding with the next steps" 2025-09-07T07:49:01.0922258Z  exit 0 2025-09-07T07:49:01.0922497Z  else 2025-09-07T07:49:01.0922746Z  echo "Docker is not running yet." 2025-09-07T07:49:01.0923120Z  echo "Retrying in $delay seconds..." 2025-09-07T07:49:01.0923468Z  sleep $delay 2025-09-07T07:49:01.0923730Z  fi 2025-09-07T07:49:01.0923938Z done 2025-09-07T07:49:01.0924301Z echo "Reached maximum attempts to connect to Docker. Exiting." 2025-09-07T07:49:01.0924735Z exit 1 2025-09-07T07:49:01.0936609Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:01.0937008Z env: 2025-09-07T07:49:01.0937427Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:01.0937697Z ##[endgroup] 2025-09-07T07:49:01.0978726Z Attempt 1 of 30: Checking if Docker daemon is running... 2025-09-07T07:49:01.1365521Z Docker is running. Proceeding with the next steps 2025-09-07T07:49:01.1563233Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T07:49:01.1563970Z with: 2025-09-07T07:49:01.1565126Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:01.1566525Z use-custom-docker-registry: true 2025-09-07T07:49:01.1566840Z docker-build-dir: .ci/docker 2025-09-07T07:49:01.1567221Z docker-build-script: ./build.sh 2025-09-07T07:49:01.1567678Z working-directory: . 2025-09-07T07:49:01.1568044Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:01.1568595Z force-push: false 2025-09-07T07:49:01.1568893Z env: 2025-09-07T07:49:01.1569131Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:01.1569404Z ##[endgroup] 2025-09-07T07:49:01.1590818Z ##[group]Run set -ex 2025-09-07T07:49:01.1591158Z set -ex 2025-09-07T07:49:01.1591374Z  2025-09-07T07:49:01.1591842Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T07:49:01.1592538Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T07:49:01.1593121Z # job could then download the pre-built image as usual 2025-09-07T07:49:01.1593843Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T07:49:01.1594523Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:01.1594866Z else 2025-09-07T07:49:01.1595136Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:01.1595586Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:01.1596027Z  2025-09-07T07:49:01.1596614Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T07:49:01.1597280Z  exit 0 2025-09-07T07:49:01.1597495Z fi 2025-09-07T07:49:01.1597708Z  2025-09-07T07:49:01.1598058Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T07:49:01.1598694Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T07:49:01.1599259Z  # use it as it is, but first let's extract the tag 2025-09-07T07:49:01.1599752Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T07:49:01.1600282Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:01.1600788Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:01.1601219Z else 2025-09-07T07:49:01.1601490Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T07:49:01.1601879Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T07:49:01.1602291Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T07:49:01.1602640Z  fi 2025-09-07T07:49:01.1603107Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T07:49:01.1603730Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:01.1604398Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:01.1605132Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:01.1605582Z fi 2025-09-07T07:49:01.1617979Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:01.1618387Z env: 2025-09-07T07:49:01.1618794Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:01.1619078Z REPO_NAME: pytorch 2025-09-07T07:49:01.1620240Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:01.1621299Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:49:01.1621587Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T07:49:01.1622004Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:01.1622427Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T07:49:01.1622720Z CUSTOM_TAG_PREFIX: 2025-09-07T07:49:01.1622974Z ##[endgroup] 2025-09-07T07:49:01.1652095Z + [[ -d .ci/docker ]] 2025-09-07T07:49:01.1652375Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T07:49:01.1652670Z + [[ true == \t\r\u\e ]] 2025-09-07T07:49:01.1652920Z + echo skip=false 2025-09-07T07:49:01.1654222Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-09-07T07:49:01.1659770Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:01.1660771Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T07:49:01.1670913Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:01.1672112Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:01.1673733Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:01.1696033Z ##[group]Run set +e 2025-09-07T07:49:01.1696381Z set +e 2025-09-07T07:49:01.1696620Z set -x 2025-09-07T07:49:01.1696853Z  2025-09-07T07:49:01.1697061Z login() { 2025-09-07T07:49:01.1697567Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:49:01.1698114Z } 2025-09-07T07:49:01.1698330Z  2025-09-07T07:49:01.1698532Z retry () { 2025-09-07T07:49:01.1698813Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:49:01.1699140Z } 2025-09-07T07:49:01.1699354Z  2025-09-07T07:49:01.1699582Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:49:01.1699899Z  2025-09-07T07:49:01.1700125Z START_TIME=$(date +%s) 2025-09-07T07:49:01.1700433Z # Wait up to 120 minutes 2025-09-07T07:49:01.1700801Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T07:49:01.1701319Z  # Check if image already exists, if it does then skip building it 2025-09-07T07:49:01.1701841Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T07:49:01.1702219Z  exit 0 2025-09-07T07:49:01.1702465Z  fi 2025-09-07T07:49:01.1702680Z  2025-09-07T07:49:01.1703080Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T07:49:01.1703780Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T07:49:01.1704589Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T07:49:01.1705120Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T07:49:01.1705537Z  # It's a Docker build job, let's build the image 2025-09-07T07:49:01.1705905Z  break 2025-09-07T07:49:01.1706146Z  else 2025-09-07T07:49:01.1706497Z  # It's a regular build job, wait for the image to become available 2025-09-07T07:49:01.1707339Z  sleep 300 2025-09-07T07:49:01.1707594Z  fi 2025-09-07T07:49:01.1707816Z done 2025-09-07T07:49:01.1708039Z  2025-09-07T07:49:01.1708508Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T07:49:01.1709115Z # be empty. The default action would be to continue rebuild the image 2025-09-07T07:49:01.1709655Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T07:49:01.1710134Z  # if we're on the base branch then use the parent commit 2025-09-07T07:49:01.1710544Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T07:49:01.1710873Z else 2025-09-07T07:49:01.1711208Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T07:49:01.1711704Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T07:49:01.1712077Z fi 2025-09-07T07:49:01.1712279Z  2025-09-07T07:49:01.1712520Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T07:49:01.1712891Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:01.1713233Z  2025-09-07T07:49:01.1713711Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T07:49:01.1714290Z  exit 0 2025-09-07T07:49:01.1714519Z fi 2025-09-07T07:49:01.1714733Z  2025-09-07T07:49:01.1715038Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T07:49:01.1715750Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T07:49:01.1716362Z  exit 1 2025-09-07T07:49:01.1716588Z fi 2025-09-07T07:49:01.1716799Z  2025-09-07T07:49:01.1717161Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T07:49:01.1717843Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T07:49:01.1718465Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T07:49:01.1719177Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T07:49:01.1719983Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T07:49:01.1720446Z fi 2025-09-07T07:49:01.1720660Z  2025-09-07T07:49:01.1720930Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:01.1732310Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:01.1732713Z env: 2025-09-07T07:49:01.1732933Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:01.1733217Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:49:01.1733572Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:01.1734667Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:01.1736128Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:01.1736946Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:01.1737356Z DOCKER_PUSH: 2025-09-07T07:49:01.1737585Z ##[endgroup] 2025-09-07T07:49:01.1764479Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:01.1764940Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:01.1767180Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:49:01.1768615Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:02.7330920Z 2025-09-07T07:49:02.7331554Z WARNING! Your credentials are stored unencrypted in '/home/alice/.docker/config.json'. 2025-09-07T07:49:02.7332541Z Configure a credential helper to remove this warning. See 2025-09-07T07:49:02.7333022Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:49:02.7333275Z 2025-09-07T07:49:02.7333370Z Login Succeeded 2025-09-07T07:49:02.7346023Z ++ date +%s 2025-09-07T07:49:02.7354700Z + START_TIME=1757231342 2025-09-07T07:49:02.7358368Z ++ date +%s 2025-09-07T07:49:02.7366220Z + [[ 1757224142 -lt 1757231342 ]] 2025-09-07T07:49:02.7367293Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:03.9337874Z { 2025-09-07T07:49:03.9338534Z "schemaVersion": 2, 2025-09-07T07:49:03.9339138Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T07:49:03.9339751Z "config": { 2025-09-07T07:49:03.9340096Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T07:49:03.9340578Z "size": 31375, 2025-09-07T07:49:03.9341272Z "digest": "sha256:29d1d8a31b215537637bab7c99e18c255840b899cf7023e4e3cb5efa3270aef8" 2025-09-07T07:49:03.9341953Z }, 2025-09-07T07:49:03.9342157Z "layers": [ 2025-09-07T07:49:03.9342358Z { 2025-09-07T07:49:03.9342718Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9343312Z "size": 30448359, 2025-09-07T07:49:03.9343992Z "digest": "sha256:e6fdc8487bfe6d764301ef3634bc6c043841dc3ab05ca14f81e69c0f92562d46" 2025-09-07T07:49:03.9344908Z }, 2025-09-07T07:49:03.9345279Z { 2025-09-07T07:49:03.9345754Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9346406Z "size": 1554, 2025-09-07T07:49:03.9347357Z "digest": "sha256:171dcef20c49de4bc9268f60e02f111b72c638b0f24c3c5636c5013029db6d30" 2025-09-07T07:49:03.9348039Z }, 2025-09-07T07:49:03.9348355Z { 2025-09-07T07:49:03.9348897Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9349468Z "size": 313297922, 2025-09-07T07:49:03.9350039Z "digest": "sha256:4c92b3f72f1df31fe9f487fc1c27fcf1ba475ffb43abd69056306d1247786e40" 2025-09-07T07:49:03.9350531Z }, 2025-09-07T07:49:03.9350725Z { 2025-09-07T07:49:03.9351100Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9351631Z "size": 792, 2025-09-07T07:49:03.9352097Z "digest": "sha256:744f9ba90a6582eb601b3c20409bb10d6dad635dd118c3975f79721f4c82747c" 2025-09-07T07:49:03.9352879Z }, 2025-09-07T07:49:03.9353254Z { 2025-09-07T07:49:03.9353694Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9354240Z "size": 106, 2025-09-07T07:49:03.9354653Z "digest": "sha256:d3c08322a3326e45849dd80264a047c4f42ba4a2419d35c919542e2890e23934" 2025-09-07T07:49:03.9355239Z }, 2025-09-07T07:49:03.9355420Z { 2025-09-07T07:49:03.9355758Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9356185Z "size": 704, 2025-09-07T07:49:03.9356857Z "digest": "sha256:ffd43b71f3ccf3ba563606231cb1d191eb9dd0052f422d54835e6af350525170" 2025-09-07T07:49:03.9357624Z }, 2025-09-07T07:49:03.9357938Z { 2025-09-07T07:49:03.9358273Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9358712Z "size": 1215, 2025-09-07T07:49:03.9359151Z "digest": "sha256:830692b57f6e2758398ec80c3b67a20441d12696b54ed14f2ecebf926198f7d6" 2025-09-07T07:49:03.9359629Z }, 2025-09-07T07:49:03.9359828Z { 2025-09-07T07:49:03.9360311Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9361080Z "size": 482, 2025-09-07T07:49:03.9361521Z "digest": "sha256:5bad36d184686719399be50830a98939d7dbda2313fb407df5915217483fc6a3" 2025-09-07T07:49:03.9361997Z }, 2025-09-07T07:49:03.9362195Z { 2025-09-07T07:49:03.9362516Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9362951Z "size": 110343614, 2025-09-07T07:49:03.9363400Z "digest": "sha256:0e34fdd9ac5c39eb0a9d2c2d258b26f42bb79d7dc0a22014bf201daa2e033eb4" 2025-09-07T07:49:03.9771352Z }, 2025-09-07T07:49:03.9771688Z { 2025-09-07T07:49:03.9772300Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9772969Z "size": 4786, 2025-09-07T07:49:03.9773949Z "digest": "sha256:3c868a62868ef54f82ac11be8dabe1b4365d000bacfe4c104e08022fc96dd767" 2025-09-07T07:49:03.9774855Z }, 2025-09-07T07:49:03.9775088Z { 2025-09-07T07:49:03.9775427Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9775861Z "size": 1710, 2025-09-07T07:49:03.9776393Z "digest": "sha256:62170a22dd571d55ffccac64c0be17f4006d2498cfbf7c6289325f0899cba005" 2025-09-07T07:49:03.9777253Z }, 2025-09-07T07:49:03.9777595Z { 2025-09-07T07:49:03.9778184Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9778653Z "size": 724, 2025-09-07T07:49:03.9779357Z "digest": 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"sha256:bc127046d33a7a98563698411b54ece8a167d520922879d7b69e8ca73a12d034" 2025-09-07T07:49:03.9893666Z }, 2025-09-07T07:49:03.9893848Z { 2025-09-07T07:49:03.9894186Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9894617Z "size": 32, 2025-09-07T07:49:03.9895046Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:49:03.9895523Z }, 2025-09-07T07:49:03.9895719Z { 2025-09-07T07:49:03.9896054Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9896481Z "size": 104, 2025-09-07T07:49:03.9896882Z "digest": "sha256:951e8ce838415c4257680a9d60d216f3750cbb18d243d9a21e2008cce7e589cf" 2025-09-07T07:49:03.9897359Z }, 2025-09-07T07:49:03.9897559Z { 2025-09-07T07:49:03.9897895Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9898309Z "size": 408, 2025-09-07T07:49:03.9898734Z "digest": "sha256:32340b97ae50ba7b2918ab40d6f4a8db875afee69318f484e4deb0a1e2ec4beb" 2025-09-07T07:49:03.9899221Z }, 2025-09-07T07:49:03.9899413Z { 2025-09-07T07:49:03.9899734Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9900161Z "size": 32, 2025-09-07T07:49:03.9900580Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:49:03.9901069Z }, 2025-09-07T07:49:03.9901250Z { 2025-09-07T07:49:03.9901585Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9902010Z "size": 109, 2025-09-07T07:49:03.9902440Z "digest": "sha256:5bbb04cd6b57ae13d7cf05ab9e9b4ed9752833ee2dba4eeaac47bde6022c4725" 2025-09-07T07:49:03.9902923Z }, 2025-09-07T07:49:03.9903115Z { 2025-09-07T07:49:03.9903448Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9903878Z "size": 1897, 2025-09-07T07:49:03.9904293Z "digest": "sha256:d8c4b845cfc7ca7cc0604f472bf6da8b1f1d4e98dff3c76e1985a7013a5b9e3f" 2025-09-07T07:49:03.9904940Z }, 2025-09-07T07:49:03.9905136Z { 2025-09-07T07:49:03.9905468Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9905884Z "size": 243440375, 2025-09-07T07:49:03.9906327Z "digest": "sha256:b35c180f4d8ddc2396eac4a6b893f438481a8163ceb0b88f203488bc5f2a8ba4" 2025-09-07T07:49:03.9906944Z }, 2025-09-07T07:49:03.9907137Z { 2025-09-07T07:49:03.9907459Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9907886Z "size": 106, 2025-09-07T07:49:03.9908299Z "digest": "sha256:5f967b3c303a99e609441551f7c8988cca4fd464c0c3127506bff8509583091b" 2025-09-07T07:49:03.9908773Z }, 2025-09-07T07:49:03.9908955Z { 2025-09-07T07:49:03.9909290Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9909724Z "size": 166, 2025-09-07T07:49:03.9910141Z "digest": "sha256:04770904f012e5584f1c19a0bc92d9863baaebf08bf75b4a9981f2b7795c8953" 2025-09-07T07:49:03.9910625Z }, 2025-09-07T07:49:03.9910810Z { 2025-09-07T07:49:03.9911146Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9911575Z "size": 7943, 2025-09-07T07:49:03.9911999Z "digest": "sha256:73373941fb321b4cb4a171b1423a68a4c7fedada3a1498868d7efe93cb03170e" 2025-09-07T07:49:03.9912471Z }, 2025-09-07T07:49:03.9912665Z { 2025-09-07T07:49:03.9913000Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9913429Z "size": 8072, 2025-09-07T07:49:03.9913838Z "digest": "sha256:9572e6cd907bfa4888456dbccc6e22146a0044374585f3fa0a8ced19b831ed62" 2025-09-07T07:49:03.9914320Z }, 2025-09-07T07:49:03.9914517Z { 2025-09-07T07:49:03.9914849Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9915464Z + exit 0 2025-09-07T07:49:03.9915681Z "size": 304, 2025-09-07T07:49:03.9916106Z "digest": "sha256:64a544aba233551e38898f138dd6ba3161ccdb9554e0ffb5b9d8f0f7fe4a7fa8" 2025-09-07T07:49:03.9916593Z }, 2025-09-07T07:49:03.9916775Z { 2025-09-07T07:49:03.9917216Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9917649Z "size": 13362696, 2025-09-07T07:49:03.9918065Z "digest": "sha256:7e35418a24997de5428763c93826679486760a1a9563209ae64de66ba45f99c1" 2025-09-07T07:49:03.9918523Z }, 2025-09-07T07:49:03.9918723Z { 2025-09-07T07:49:03.9919062Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9919493Z "size": 108, 2025-09-07T07:49:03.9919898Z "digest": "sha256:2ed8e82748d4a1131f41d9e41322f47a6ffef67a5a2b7bf5392237db5c035c61" 2025-09-07T07:49:03.9920383Z }, 2025-09-07T07:49:03.9920573Z { 2025-09-07T07:49:03.9920905Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9921320Z "size": 54145663, 2025-09-07T07:49:03.9921753Z "digest": "sha256:c988fbcccd708fb158a81c429d32e1060a7e40924fc3c987c629fa69d9484717" 2025-09-07T07:49:03.9922237Z }, 2025-09-07T07:49:03.9922425Z { 2025-09-07T07:49:03.9922749Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:03.9923176Z "size": 32, 2025-09-07T07:49:03.9923594Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:49:03.9924081Z } 2025-09-07T07:49:03.9924261Z ] 2025-09-07T07:49:03.9924454Z } 2025-09-07T07:49:04.0218116Z ##[group]Run set -eux 2025-09-07T07:49:04.0218402Z set -eux 2025-09-07T07:49:04.0218824Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T07:49:04.0220017Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-09-07T07:49:04.0944363Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:04.0944930Z env: 2025-09-07T07:49:04.0945165Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:04.0945495Z ##[endgroup] 2025-09-07T07:49:04.1051424Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T07:49:04.1052366Z + jq --raw-output .SecretString 2025-09-07T07:49:04.1053532Z + jq -r .docker_hub_readonly_token 2025-09-07T07:49:04.1055535Z + docker login --username pytorchbot --password-stdin 2025-09-07T07:49:04.8820260Z 2025-09-07T07:49:04.8822320Z An error occurred (AccessDeniedException) when calling the GetSecretValue operation: User: arn:aws:sts::308535385114:assumed-role/gh-ci-github-action-runners-runner-role/i-04bedcebd1f4c5e73 is not authorized to perform: secretsmanager:GetSecretValue on resource: docker_hub_readonly_token because no identity-based policy allows the secretsmanager:GetSecretValue action 2025-09-07T07:49:04.9947818Z Error: Cannot perform an interactive login from a non TTY device 2025-09-07T07:49:04.9954491Z + true 2025-09-07T07:49:05.0055320Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:49:05.0055984Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:49:05.0056716Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T07:49:05.0075541Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:05.0076257Z env: 2025-09-07T07:49:05.0076653Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:05.0078541Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:05.0080492Z ##[endgroup] 2025-09-07T07:49:05.0121147Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:05.0164347Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T07:49:05.0164971Z with: 2025-09-07T07:49:05.0165912Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:05.0167051Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:05.0167453Z env: 2025-09-07T07:49:05.0167657Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:05.0167923Z ##[endgroup] 2025-09-07T07:49:05.0181350Z ##[group]Run set -x 2025-09-07T07:49:05.0181632Z set -x 2025-09-07T07:49:05.0181863Z set +e 2025-09-07T07:49:05.0182092Z  2025-09-07T07:49:05.0182293Z login() { 2025-09-07T07:49:05.0182794Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:49:05.0183337Z } 2025-09-07T07:49:05.0183551Z  2025-09-07T07:49:05.0183800Z retry () { 2025-09-07T07:49:05.0184088Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:49:05.0184416Z } 2025-09-07T07:49:05.0184739Z  2025-09-07T07:49:05.0184983Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:49:05.0185305Z  2025-09-07T07:49:05.0185798Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T07:49:05.0186496Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T07:49:05.0187048Z  2025-09-07T07:49:05.0187263Z set -e 2025-09-07T07:49:05.0187607Z # ignore output since only exit code is used for conditional 2025-09-07T07:49:05.0188123Z # only pull docker image if it's not available locally 2025-09-07T07:49:05.0188694Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T07:49:05.0189229Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T07:49:05.0189561Z fi 2025-09-07T07:49:05.0201067Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:05.0201460Z env: 2025-09-07T07:49:05.0201684Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:05.0202674Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:05.0203798Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:05.0204191Z ##[endgroup] 2025-09-07T07:49:05.0231418Z + set +e 2025-09-07T07:49:05.0231933Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:05.0232403Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:05.0234720Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:49:05.0236380Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:06.5075486Z 2025-09-07T07:49:06.5076071Z WARNING! Your credentials are stored unencrypted in '/home/alice/.docker/config.json'. 2025-09-07T07:49:06.5076727Z Configure a credential helper to remove this warning. See 2025-09-07T07:49:06.5077183Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:49:06.5077451Z 2025-09-07T07:49:06.5077548Z Login Succeeded 2025-09-07T07:49:06.5095662Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:06.5097833Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T07:49:07.6685636Z + IMAGE_SIZE=36183.606596946716 2025-09-07T07:49:07.6686085Z + echo 'Compressed size of image in MB: 36183.606596946716' 2025-09-07T07:49:07.6686482Z + set -e 2025-09-07T07:49:07.6687831Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:07.6688957Z Compressed size of image in MB: 36183.606596946716 2025-09-07T07:49:07.6795281Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:07.6797052Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:08.7164665Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T07:49:08.7166383Z e6fdc8487bfe: Pulling fs layer 2025-09-07T07:49:08.7166819Z 171dcef20c49: Pulling fs layer 2025-09-07T07:49:08.7167274Z 4c92b3f72f1d: Pulling fs layer 2025-09-07T07:49:08.7167781Z 744f9ba90a65: Pulling fs layer 2025-09-07T07:49:08.7168317Z d3c08322a332: Pulling fs layer 2025-09-07T07:49:08.7168837Z ffd43b71f3cc: Pulling fs layer 2025-09-07T07:49:08.7169344Z 830692b57f6e: Pulling fs layer 2025-09-07T07:49:08.7169706Z 744f9ba90a65: Waiting 2025-09-07T07:49:08.7169986Z 5bad36d18468: Pulling fs layer 2025-09-07T07:49:08.7170391Z d3c08322a332: Waiting 2025-09-07T07:49:08.7170846Z 0e34fdd9ac5c: Pulling fs layer 2025-09-07T07:49:08.7171336Z ffd43b71f3cc: Waiting 2025-09-07T07:49:08.7171734Z 830692b57f6e: Waiting 2025-09-07T07:49:08.7171985Z 3c868a62868e: Pulling fs layer 2025-09-07T07:49:08.7172409Z 62170a22dd57: Pulling fs layer 2025-09-07T07:49:08.7172889Z 5bad36d18468: Waiting 2025-09-07T07:49:08.7173316Z 0e34fdd9ac5c: Waiting 2025-09-07T07:49:08.7173770Z 553c1d23b6c4: Pulling fs layer 2025-09-07T07:49:08.7174246Z 9408d557a804: Pulling fs layer 2025-09-07T07:49:08.7174688Z df607cfc7c07: Pulling fs layer 2025-09-07T07:49:08.7175181Z 3c868a62868e: Waiting 2025-09-07T07:49:08.7175589Z 4f4fb700ef54: Pulling fs layer 2025-09-07T07:49:08.7176082Z 62170a22dd57: Waiting 2025-09-07T07:49:08.7176511Z 9408d557a804: Waiting 2025-09-07T07:49:08.7176867Z 40a8e39faeda: Pulling fs layer 2025-09-07T07:49:08.7177162Z 4f4fb700ef54: Waiting 2025-09-07T07:49:08.7177417Z d895771c9fac: Pulling fs layer 2025-09-07T07:49:08.7177744Z 40a8e39faeda: Waiting 2025-09-07T07:49:08.7178061Z df607cfc7c07: Waiting 2025-09-07T07:49:08.7178305Z 553c1d23b6c4: Waiting 2025-09-07T07:49:08.7178650Z c4ee04f39d49: Pulling fs layer 2025-09-07T07:49:08.7179013Z 3690c9826e48: Pulling fs layer 2025-09-07T07:49:08.7179346Z 57cbc5013733: Pulling fs layer 2025-09-07T07:49:08.7179674Z d895771c9fac: Waiting 2025-09-07T07:49:08.7179932Z f5f4b06b58bb: Pulling fs layer 2025-09-07T07:49:08.7180267Z c4ee04f39d49: Waiting 2025-09-07T07:49:08.7180556Z 57cbc5013733: Waiting 2025-09-07T07:49:08.7180846Z 3690c9826e48: Waiting 2025-09-07T07:49:08.7181101Z f59713ce4bf4: Pulling fs layer 2025-09-07T07:49:08.7181507Z fe0486521517: Pulling fs layer 2025-09-07T07:49:08.7182004Z 8c21cc3715a2: Pulling fs layer 2025-09-07T07:49:08.7182507Z d37c58456a6a: Pulling fs layer 2025-09-07T07:49:08.7183027Z d042f63abc13: Pulling fs layer 2025-09-07T07:49:08.7183492Z f5f4b06b58bb: Waiting 2025-09-07T07:49:08.7183951Z 621284a9c05a: Pulling fs layer 2025-09-07T07:49:08.7184519Z f59713ce4bf4: Waiting 2025-09-07T07:49:08.7184976Z 85f605d2dd3a: Pulling fs layer 2025-09-07T07:49:08.7185460Z 8c21cc3715a2: Waiting 2025-09-07T07:49:08.7185873Z fe0486521517: Waiting 2025-09-07T07:49:08.7186293Z d37c58456a6a: Waiting 2025-09-07T07:49:08.7187046Z 381b5539e598: Pulling fs layer 2025-09-07T07:49:08.7187530Z 85f605d2dd3a: Waiting 2025-09-07T07:49:08.7187945Z 621284a9c05a: Waiting 2025-09-07T07:49:08.7188390Z a487c0c80029: Pulling fs layer 2025-09-07T07:49:08.7188902Z 48bcb81e2566: Pulling fs layer 2025-09-07T07:49:08.7189398Z e261928c0043: Pulling fs layer 2025-09-07T07:49:08.7189878Z 381b5539e598: Waiting 2025-09-07T07:49:08.7190303Z 48bcb81e2566: Waiting 2025-09-07T07:49:08.7190727Z e261928c0043: Waiting 2025-09-07T07:49:08.7191148Z 0fea55428091: Pulling fs layer 2025-09-07T07:49:08.7192030Z b4291bccbb84: Pulling fs layer 2025-09-07T07:49:08.7192539Z 0fea55428091: Waiting 2025-09-07T07:49:08.7193310Z ddc91b09189a: Pulling fs layer 2025-09-07T07:49:08.7193798Z b4291bccbb84: Waiting 2025-09-07T07:49:08.7194298Z 7540c7428627: Pulling fs layer 2025-09-07T07:49:08.7194835Z ddc91b09189a: Waiting 2025-09-07T07:49:08.7195327Z 003c4e2598fb: Pulling fs layer 2025-09-07T07:49:08.7195815Z 5687149362ae: Pulling fs layer 2025-09-07T07:49:08.7196383Z cdd2cf54eb2a: Pulling fs layer 2025-09-07T07:49:08.7196877Z 7540c7428627: Waiting 2025-09-07T07:49:08.7197327Z d3ad4df1ba3a: Pulling fs layer 2025-09-07T07:49:08.7197858Z 003c4e2598fb: Waiting 2025-09-07T07:49:08.7198345Z 3c9055753b4c: Pulling fs layer 2025-09-07T07:49:08.7198901Z 31cf8d0bd21c: Pulling fs layer 2025-09-07T07:49:08.7199394Z d3ad4df1ba3a: Waiting 2025-09-07T07:49:08.7199870Z cdd2cf54eb2a: Waiting 2025-09-07T07:49:08.7200294Z 3c9055753b4c: Waiting 2025-09-07T07:49:08.7200582Z 6623ea814971: Pulling fs layer 2025-09-07T07:49:08.7200986Z 31cf8d0bd21c: Waiting 2025-09-07T07:49:08.7201228Z 11696c3aa380: Pulling fs layer 2025-09-07T07:49:08.7201548Z 5687149362ae: Waiting 2025-09-07T07:49:08.7201803Z ef4d544e35ca: Pulling fs layer 2025-09-07T07:49:08.7202114Z ef4d544e35ca: Waiting 2025-09-07T07:49:08.7202505Z 6623ea814971: Waiting 2025-09-07T07:49:08.7202765Z 5c5108865e5e: Pulling fs layer 2025-09-07T07:49:08.7203135Z 11696c3aa380: Waiting 2025-09-07T07:49:08.7203555Z 9e97578e9edf: Pulling fs layer 2025-09-07T07:49:08.7204111Z da5a91b54cb5: Pulling fs layer 2025-09-07T07:49:08.7204652Z 9e97578e9edf: Waiting 2025-09-07T07:49:08.7205045Z 5c5108865e5e: Waiting 2025-09-07T07:49:08.7205330Z da5a91b54cb5: Waiting 2025-09-07T07:49:08.7205736Z 1e93be219e89: Pulling fs layer 2025-09-07T07:49:08.7206071Z 136825afebb5: Pulling fs layer 2025-09-07T07:49:08.7206361Z 22b39805302d: Pulling fs layer 2025-09-07T07:49:08.7206663Z 1e93be219e89: Waiting 2025-09-07T07:49:08.7206906Z 136825afebb5: Waiting 2025-09-07T07:49:08.7207169Z d12add675e35: Pulling fs layer 2025-09-07T07:49:08.7207460Z bc127046d33a: Pulling fs layer 2025-09-07T07:49:08.7207720Z 22b39805302d: Waiting 2025-09-07T07:49:08.7207970Z d12add675e35: Waiting 2025-09-07T07:49:08.7208209Z bc127046d33a: Waiting 2025-09-07T07:49:08.7208461Z 951e8ce83841: Pulling fs layer 2025-09-07T07:49:08.7208734Z 32340b97ae50: Pulling fs layer 2025-09-07T07:49:08.7209018Z 5bbb04cd6b57: Pulling fs layer 2025-09-07T07:49:08.7209294Z 951e8ce83841: Waiting 2025-09-07T07:49:08.7209533Z 32340b97ae50: Waiting 2025-09-07T07:49:08.7209774Z d8c4b845cfc7: Pulling fs layer 2025-09-07T07:49:08.7210060Z b35c180f4d8d: Pulling fs layer 2025-09-07T07:49:08.7210348Z 5f967b3c303a: Pulling fs layer 2025-09-07T07:49:08.7210622Z d8c4b845cfc7: Waiting 2025-09-07T07:49:08.7210901Z 04770904f012: Pulling fs layer 2025-09-07T07:49:08.7211302Z 5f967b3c303a: Waiting 2025-09-07T07:49:08.7211733Z b35c180f4d8d: Waiting 2025-09-07T07:49:08.7212174Z 73373941fb32: Pulling fs layer 2025-09-07T07:49:08.7212638Z 9572e6cd907b: Pulling fs layer 2025-09-07T07:49:08.7212972Z 73373941fb32: Waiting 2025-09-07T07:49:08.7213377Z 64a544aba233: Pulling fs layer 2025-09-07T07:49:08.7213864Z 04770904f012: Waiting 2025-09-07T07:49:08.7214268Z 7e35418a2499: Pulling fs layer 2025-09-07T07:49:08.7214754Z 2ed8e82748d4: Pulling fs layer 2025-09-07T07:49:08.7215244Z 9572e6cd907b: Waiting 2025-09-07T07:49:08.7215538Z c988fbcccd70: Pulling fs layer 2025-09-07T07:49:08.7215919Z 7e35418a2499: Waiting 2025-09-07T07:49:08.7216341Z 2ed8e82748d4: Waiting 2025-09-07T07:49:08.7216764Z 64a544aba233: Waiting 2025-09-07T07:49:09.2187857Z 171dcef20c49: Verifying Checksum 2025-09-07T07:49:09.2188503Z 171dcef20c49: Download complete 2025-09-07T07:49:09.7250720Z 744f9ba90a65: Verifying Checksum 2025-09-07T07:49:09.7251150Z 744f9ba90a65: Download complete 2025-09-07T07:49:10.2195124Z d3c08322a332: Verifying Checksum 2025-09-07T07:49:10.2195505Z d3c08322a332: Download complete 2025-09-07T07:49:10.2241293Z e6fdc8487bfe: Verifying Checksum 2025-09-07T07:49:10.2241983Z e6fdc8487bfe: Download complete 2025-09-07T07:49:10.7677055Z 830692b57f6e: Verifying Checksum 2025-09-07T07:49:10.7677671Z 830692b57f6e: Download complete 2025-09-07T07:49:10.7833261Z ffd43b71f3cc: Verifying Checksum 2025-09-07T07:49:10.7833644Z ffd43b71f3cc: Download complete 2025-09-07T07:49:11.2660592Z 5bad36d18468: Verifying Checksum 2025-09-07T07:49:11.2660981Z 5bad36d18468: Download complete 2025-09-07T07:49:11.7840146Z 3c868a62868e: Verifying Checksum 2025-09-07T07:49:11.7840567Z 3c868a62868e: Download complete 2025-09-07T07:49:12.3044937Z 62170a22dd57: Verifying Checksum 2025-09-07T07:49:12.3045359Z 62170a22dd57: Download complete 2025-09-07T07:49:12.4129671Z e6fdc8487bfe: Pull complete 2025-09-07T07:49:12.5843111Z 171dcef20c49: Pull complete 2025-09-07T07:49:12.8143341Z 553c1d23b6c4: Download complete 2025-09-07T07:49:13.3238317Z 9408d557a804: Download complete 2025-09-07T07:49:14.0409297Z 0e34fdd9ac5c: Verifying Checksum 2025-09-07T07:49:14.0409678Z 0e34fdd9ac5c: Download complete 2025-09-07T07:49:14.3003059Z 4f4fb700ef54: Verifying Checksum 2025-09-07T07:49:14.3003515Z 4f4fb700ef54: Download complete 2025-09-07T07:49:14.7797562Z 40a8e39faeda: Verifying Checksum 2025-09-07T07:49:14.7797929Z 40a8e39faeda: Download complete 2025-09-07T07:49:16.6503571Z 4c92b3f72f1d: Verifying Checksum 2025-09-07T07:49:16.6503973Z 4c92b3f72f1d: Download complete 2025-09-07T07:49:16.8846835Z d895771c9fac: Verifying Checksum 2025-09-07T07:49:16.8847219Z d895771c9fac: Download complete 2025-09-07T07:49:17.1557852Z c4ee04f39d49: Verifying Checksum 2025-09-07T07:49:17.1558223Z c4ee04f39d49: Download complete 2025-09-07T07:49:17.6427419Z 57cbc5013733: Verifying Checksum 2025-09-07T07:49:17.6427865Z 57cbc5013733: Download complete 2025-09-07T07:49:18.0442141Z 3690c9826e48: Verifying Checksum 2025-09-07T07:49:18.0442529Z 3690c9826e48: Download complete 2025-09-07T07:49:18.1590038Z f5f4b06b58bb: Download complete 2025-09-07T07:49:18.5460500Z f59713ce4bf4: Download complete 2025-09-07T07:49:18.6736457Z fe0486521517: Verifying Checksum 2025-09-07T07:49:18.6736879Z fe0486521517: Download complete 2025-09-07T07:49:19.1844874Z d37c58456a6a: Verifying Checksum 2025-09-07T07:49:19.1845289Z d37c58456a6a: Download complete 2025-09-07T07:49:24.0024334Z 4c92b3f72f1d: Pull complete 2025-09-07T07:49:24.8056864Z 744f9ba90a65: Pull complete 2025-09-07T07:49:25.4803986Z d3c08322a332: Pull complete 2025-09-07T07:49:26.4183498Z ffd43b71f3cc: Pull complete 2025-09-07T07:49:26.9271219Z 830692b57f6e: Pull complete 2025-09-07T07:49:27.4003478Z 5bad36d18468: Pull complete 2025-09-07T07:49:29.9391492Z 0e34fdd9ac5c: Pull complete 2025-09-07T07:49:30.8882134Z 3c868a62868e: Pull complete 2025-09-07T07:49:30.9602444Z d042f63abc13: Verifying Checksum 2025-09-07T07:49:30.9602830Z d042f63abc13: Download complete 2025-09-07T07:49:31.4397483Z 621284a9c05a: Verifying Checksum 2025-09-07T07:49:31.4397848Z 621284a9c05a: Download complete 2025-09-07T07:49:31.5803091Z 62170a22dd57: Pull complete 2025-09-07T07:49:31.9362990Z 85f605d2dd3a: Download complete 2025-09-07T07:49:32.5300164Z 553c1d23b6c4: Pull complete 2025-09-07T07:49:33.9115143Z 9408d557a804: Pull complete 2025-09-07T07:49:42.6058733Z 381b5539e598: Verifying Checksum 2025-09-07T07:49:42.6059140Z 381b5539e598: Download complete 2025-09-07T07:49:43.1006859Z a487c0c80029: Verifying Checksum 2025-09-07T07:49:43.1007224Z a487c0c80029: Download complete 2025-09-07T07:49:43.6059845Z 48bcb81e2566: Verifying Checksum 2025-09-07T07:49:43.6060230Z 48bcb81e2566: Download complete 2025-09-07T07:49:44.1222586Z e261928c0043: Verifying Checksum 2025-09-07T07:49:44.1223193Z e261928c0043: Download complete 2025-09-07T07:49:44.6351709Z 0fea55428091: Verifying Checksum 2025-09-07T07:49:44.6352095Z 0fea55428091: Download complete 2025-09-07T07:49:45.8779061Z b4291bccbb84: Verifying Checksum 2025-09-07T07:49:45.8779443Z b4291bccbb84: Download complete 2025-09-07T07:49:46.3751967Z ddc91b09189a: Download complete 2025-09-07T07:49:46.8676831Z 7540c7428627: Verifying Checksum 2025-09-07T07:49:46.8677187Z 7540c7428627: Download complete 2025-09-07T07:49:47.3636405Z 003c4e2598fb: Verifying Checksum 2025-09-07T07:49:47.3636765Z 003c4e2598fb: Download complete 2025-09-07T07:49:47.8598790Z 5687149362ae: Download complete 2025-09-07T07:49:48.3458866Z cdd2cf54eb2a: Verifying Checksum 2025-09-07T07:49:48.3459214Z cdd2cf54eb2a: Download complete 2025-09-07T07:50:40.6585341Z df607cfc7c07: Download complete 2025-09-07T07:50:41.1717577Z 3c9055753b4c: Verifying Checksum 2025-09-07T07:50:41.1717963Z 3c9055753b4c: Download complete 2025-09-07T07:50:49.9118375Z 31cf8d0bd21c: Verifying Checksum 2025-09-07T07:50:49.9118863Z 31cf8d0bd21c: Download complete 2025-09-07T07:51:39.1001991Z df607cfc7c07: Pull complete 2025-09-07T07:51:40.0083128Z 4f4fb700ef54: Pull complete 2025-09-07T07:51:41.0894234Z 40a8e39faeda: Pull complete 2025-09-07T07:51:42.9968522Z d895771c9fac: Pull complete 2025-09-07T07:51:44.0467552Z c4ee04f39d49: Pull complete 2025-09-07T07:51:45.2281325Z 3690c9826e48: Pull complete 2025-09-07T07:51:46.1553811Z 57cbc5013733: Pull complete 2025-09-07T07:51:47.2837950Z f5f4b06b58bb: Pull complete 2025-09-07T07:51:48.3909985Z f59713ce4bf4: Pull complete 2025-09-07T07:51:49.4101288Z fe0486521517: Pull complete 2025-09-07T07:52:16.4640668Z 8c21cc3715a2: Verifying Checksum 2025-09-07T07:52:16.4641162Z 8c21cc3715a2: Download complete 2025-09-07T07:52:16.9547585Z 11696c3aa380: Verifying Checksum 2025-09-07T07:52:16.9547970Z 11696c3aa380: Download complete 2025-09-07T07:52:17.4808127Z ef4d544e35ca: Download complete 2025-09-07T07:52:17.9895475Z 5c5108865e5e: Verifying Checksum 2025-09-07T07:52:17.9896111Z 5c5108865e5e: Download complete 2025-09-07T07:52:18.5054042Z 9e97578e9edf: Verifying Checksum 2025-09-07T07:52:18.5054414Z 9e97578e9edf: Download complete 2025-09-07T07:52:19.0258877Z da5a91b54cb5: Verifying Checksum 2025-09-07T07:52:19.0259268Z da5a91b54cb5: Download complete 2025-09-07T07:52:19.5330752Z 1e93be219e89: Download complete 2025-09-07T07:52:20.0456107Z 136825afebb5: Verifying Checksum 2025-09-07T07:52:20.0456504Z 136825afebb5: Download complete 2025-09-07T07:52:20.5599832Z 22b39805302d: Verifying Checksum 2025-09-07T07:52:20.5600280Z 22b39805302d: Download complete 2025-09-07T07:52:21.0642216Z d12add675e35: Verifying Checksum 2025-09-07T07:52:21.0642609Z d12add675e35: Download complete 2025-09-07T07:52:21.5827164Z bc127046d33a: Download complete 2025-09-07T07:52:22.0842004Z 951e8ce83841: Verifying Checksum 2025-09-07T07:52:22.0842370Z 951e8ce83841: Download complete 2025-09-07T07:52:22.5848036Z 32340b97ae50: Verifying Checksum 2025-09-07T07:52:22.5848410Z 32340b97ae50: Download complete 2025-09-07T07:52:23.0943140Z 5bbb04cd6b57: Verifying Checksum 2025-09-07T07:52:23.0943524Z 5bbb04cd6b57: Download complete 2025-09-07T07:52:23.6490358Z d8c4b845cfc7: Verifying Checksum 2025-09-07T07:52:23.6490742Z d8c4b845cfc7: Download complete 2025-09-07T07:52:29.6222668Z b35c180f4d8d: Verifying Checksum 2025-09-07T07:52:29.6223243Z b35c180f4d8d: Download complete 2025-09-07T07:52:30.2871229Z 5f967b3c303a: Verifying Checksum 2025-09-07T07:52:30.2871672Z 5f967b3c303a: Download complete 2025-09-07T07:52:30.8131081Z 04770904f012: Download complete 2025-09-07T07:52:31.3161189Z 73373941fb32: Verifying Checksum 2025-09-07T07:52:31.3161604Z 73373941fb32: Download complete 2025-09-07T07:52:31.8200225Z 9572e6cd907b: Download complete 2025-09-07T07:52:32.3337940Z 64a544aba233: Verifying Checksum 2025-09-07T07:52:32.3338313Z 64a544aba233: Download complete 2025-09-07T07:52:33.5327530Z 7e35418a2499: Verifying Checksum 2025-09-07T07:52:33.5327897Z 7e35418a2499: Download complete 2025-09-07T07:52:34.0331882Z 2ed8e82748d4: Verifying Checksum 2025-09-07T07:52:34.0332273Z 2ed8e82748d4: Download complete 2025-09-07T07:52:36.2085562Z c988fbcccd70: Verifying Checksum 2025-09-07T07:52:36.2085950Z c988fbcccd70: Download complete 2025-09-07T07:54:03.5400868Z 6623ea814971: Verifying Checksum 2025-09-07T07:54:03.5402443Z 6623ea814971: Download complete 2025-09-07T07:59:32.0507741Z d3ad4df1ba3a: Download complete 2025-09-07T08:02:11.2176306Z 8c21cc3715a2: Pull complete 2025-09-07T08:02:13.1733196Z d37c58456a6a: Pull complete 2025-09-07T08:02:16.5341502Z d042f63abc13: Pull complete 2025-09-07T08:02:18.1188785Z 621284a9c05a: Pull complete 2025-09-07T08:02:19.4404714Z 85f605d2dd3a: Pull complete 2025-09-07T08:02:38.0128705Z 381b5539e598: Pull complete 2025-09-07T08:02:39.8438150Z a487c0c80029: Pull complete 2025-09-07T08:02:41.1742709Z 48bcb81e2566: Pull complete 2025-09-07T08:02:43.6612435Z e261928c0043: Pull complete 2025-09-07T08:02:45.1545000Z 0fea55428091: Pull complete 2025-09-07T08:02:46.4685564Z b4291bccbb84: Pull complete 2025-09-07T08:02:47.6182487Z ddc91b09189a: Pull complete 2025-09-07T08:02:48.8618801Z 7540c7428627: Pull complete 2025-09-07T08:02:51.8002748Z 003c4e2598fb: Pull complete 2025-09-07T08:02:53.1909953Z 5687149362ae: Pull complete 2025-09-07T08:02:54.7776545Z cdd2cf54eb2a: Pull complete 2025-09-07T08:12:34.7366651Z d3ad4df1ba3a: Pull complete 2025-09-07T08:12:36.5444480Z 3c9055753b4c: Pull complete 2025-09-07T08:12:39.7353506Z 31cf8d0bd21c: Pull complete 2025-09-07T08:17:41.1173005Z 6623ea814971: Pull complete 2025-09-07T08:17:43.1211482Z 11696c3aa380: Pull complete 2025-09-07T08:17:45.0850495Z ef4d544e35ca: Pull complete 2025-09-07T08:17:48.6402900Z 5c5108865e5e: Pull complete 2025-09-07T08:17:52.8390721Z 9e97578e9edf: Pull complete 2025-09-07T08:17:55.0058863Z da5a91b54cb5: Pull complete 2025-09-07T08:17:58.2686954Z 1e93be219e89: Pull complete 2025-09-07T08:18:01.2601097Z 136825afebb5: Pull complete 2025-09-07T08:18:02.6700241Z 22b39805302d: Pull complete 2025-09-07T08:18:05.4212454Z d12add675e35: Pull complete 2025-09-07T08:18:07.2166103Z bc127046d33a: Pull complete 2025-09-07T08:18:11.3048186Z 951e8ce83841: Pull complete 2025-09-07T08:18:13.2142649Z 32340b97ae50: Pull complete 2025-09-07T08:18:16.9226385Z 5bbb04cd6b57: Pull complete 2025-09-07T08:18:18.5402201Z d8c4b845cfc7: Pull complete 2025-09-07T08:18:28.8096776Z b35c180f4d8d: Pull complete 2025-09-07T08:18:29.7445847Z 5f967b3c303a: Pull complete 2025-09-07T08:18:30.6147444Z 04770904f012: Pull complete 2025-09-07T08:18:31.3443955Z 73373941fb32: Pull complete 2025-09-07T08:18:32.4150469Z 9572e6cd907b: Pull complete 2025-09-07T08:18:33.8510792Z 64a544aba233: Pull complete 2025-09-07T08:18:35.6672889Z 7e35418a2499: Pull complete 2025-09-07T08:18:36.5369045Z 2ed8e82748d4: Pull complete 2025-09-07T08:18:38.7124179Z c988fbcccd70: Pull complete 2025-09-07T08:18:40.1562334Z Digest: sha256:f30843ff9ea9e117a2c8e6d207e85c9e77dfe682f1dfcdfea5b94178d1bf00b3 2025-09-07T08:18:40.3754199Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:18:40.4314194Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:18:40.4452358Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:18:40.4453474Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:18:40.4467616Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:18:40.4468107Z env: 2025-09-07T08:18:40.4468369Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:40.4468716Z ##[endgroup] 2025-09-07T08:18:40.4772312Z ##[group]Run echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T08:18:40.4773024Z echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T08:18:40.4785244Z shell: /usr/bin/bash -e {0} 2025-09-07T08:18:40.4785540Z env: 2025-09-07T08:18:40.4785764Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:40.4786034Z ##[endgroup] 2025-09-07T08:18:40.5094880Z ##[group]Run echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T08:18:40.5095783Z echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T08:18:40.5120955Z shell: /usr/bin/bash -e {0} 2025-09-07T08:18:40.5121531Z env: 2025-09-07T08:18:40.5121829Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:40.5122251Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:40.5122663Z ##[endgroup] 2025-09-07T08:18:40.5264829Z Prepare all required actions 2025-09-07T08:18:40.5399271Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T08:18:40.5399695Z with: 2025-09-07T08:18:40.5400488Z github-token: *** 2025-09-07T08:18:40.5400768Z env: 2025-09-07T08:18:40.5401039Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:40.5401465Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:40.5402021Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T08:18:40.5402460Z ##[endgroup] 2025-09-07T08:18:40.5757171Z ##[group]Run set -eux 2025-09-07T08:18:40.5757554Z set -eux 2025-09-07T08:18:40.5758100Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T08:18:40.5769827Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:18:40.5770290Z env: 2025-09-07T08:18:40.5770593Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:40.5771013Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:40.5771628Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T08:18:40.5772401Z GITHUB_TOKEN: *** 2025-09-07T08:18:40.5772725Z ##[endgroup] 2025-09-07T08:18:40.5881036Z + python3 .github/scripts/get_workflow_job_id.py 17525309334 i-04bedcebd1f4c5e73-1001 2025-09-07T08:18:41.4786275Z Setting output job-id=49775768411 2025-09-07T08:18:41.4787167Z Setting output job-name=cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 2, 5, linux.aws.a100) 2025-09-07T08:18:41.4953841Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T08:18:41.4954616Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T08:18:41.4955631Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T08:18:41.4956534Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T08:18:41.4969150Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:18:41.4969551Z env: 2025-09-07T08:18:41.4969784Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:41.4970133Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:41.4970592Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T08:18:41.4970991Z JOB_ID: 49775768411 2025-09-07T08:18:41.4971495Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 2, 5, linux.aws.a100) 2025-09-07T08:18:41.4972056Z WORKFLOW_NAME: inductor-A100-perf-nightly 2025-09-07T08:18:41.4972390Z WORKFLOW_RUN_ID: 17525309334 2025-09-07T08:18:41.4972683Z MONITOR_LOG_INTERVAL: 15 2025-09-07T08:18:41.4972971Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T08:18:41.4973280Z ##[endgroup] 2025-09-07T08:18:41.8173629Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:18:42.2440145Z Collecting psutil==5.9.8 2025-09-07T08:18:42.3089175Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-09-07T08:18:42.4976719Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.2/288.2 KB 1.5 MB/s eta 0:00:00 2025-09-07T08:18:42.6334380Z Collecting dataclasses_json==0.6.7 2025-09-07T08:18:42.6420827Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T08:18:42.9733046Z Collecting nvidia-ml-py==11.525.84 2025-09-07T08:18:42.9827927Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T08:18:43.2196039Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T08:18:43.2279799Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T08:18:43.4961522Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T08:18:43.5046195Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T08:18:43.6261256Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.9/50.9 KB 340.4 kB/s eta 0:00:00 2025-09-07T08:18:43.7722166Z Collecting packaging>=17.0 2025-09-07T08:18:43.7827617Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T08:18:43.8921481Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.5/66.5 KB 523.6 kB/s eta 0:00:00 2025-09-07T08:18:43.9900854Z Collecting mypy-extensions>=0.3.0 2025-09-07T08:18:43.9989237Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T08:18:44.2500684Z Collecting typing-extensions>=3.7.4 2025-09-07T08:18:44.2583609Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T08:18:44.3687884Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 44.6/44.6 KB 317.3 kB/s eta 0:00:00 2025-09-07T08:18:44.4393578Z Installing collected packages: nvidia-ml-py, typing-extensions, psutil, packaging, mypy-extensions, typing-inspect, marshmallow, dataclasses_json 2025-09-07T08:18:46.2566926Z Successfully installed dataclasses_json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-09-07T08:18:46.3270362Z Prepare all required actions 2025-09-07T08:18:46.3270855Z Getting action download info 2025-09-07T08:18:46.6794508Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T08:18:47.8545481Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T08:18:49.8569745Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T08:18:49.8570215Z with: 2025-09-07T08:18:49.8570558Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:18:49.8570957Z s3-bucket: gha-artifacts 2025-09-07T08:18:49.8571302Z env: 2025-09-07T08:18:49.8571593Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:49.8572021Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:49.8572552Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T08:18:49.8573030Z ##[endgroup] 2025-09-07T08:18:49.8882474Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T08:18:49.8882837Z with: 2025-09-07T08:18:49.8883248Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:18:49.8883606Z s3-bucket: gha-artifacts 2025-09-07T08:18:49.8883896Z region: us-east-1 2025-09-07T08:18:49.8884125Z env: 2025-09-07T08:18:49.8884344Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:49.8884697Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:49.8885173Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T08:18:49.8885575Z ##[endgroup] 2025-09-07T08:18:50.3512555Z (node:9427) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T08:18:50.3513101Z 2025-09-07T08:18:50.3513298Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T08:18:50.3513901Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T08:18:50.3514488Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T08:18:50.6362981Z Found 1 objects with prefix pytorch/pytorch/17525309334/linux-jammy-cuda12.8-py3.10-gcc9-sm80/ 2025-09-07T08:18:50.6364368Z Starting download (1/1): /home/alice/_work/pytorch/pytorch/artifacts.zip 2025-09-07T08:19:10.0935033Z Finished download (1/1): /home/alice/_work/pytorch/pytorch/artifacts.zip 2025-09-07T08:19:10.0942870Z Artifact download has finished successfully 2025-09-07T08:19:10.1842892Z ##[group]Run unzip -o artifacts.zip 2025-09-07T08:19:10.1843254Z unzip -o artifacts.zip 2025-09-07T08:19:10.1855675Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:19:10.1856065Z env: 2025-09-07T08:19:10.1856298Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:10.1856651Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:10.1857132Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T08:19:10.1857731Z ##[endgroup] 2025-09-07T08:19:10.1968787Z Archive: artifacts.zip 2025-09-07T08:19:10.1970140Z creating: dist/ 2025-09-07T08:19:14.0237188Z inflating: dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T08:19:14.0237705Z creating: dist/vision/ 2025-09-07T08:19:14.0356893Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:19:14.0357423Z creating: dist/audio/ 2025-09-07T08:19:14.0414713Z inflating: dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T08:19:14.0415221Z creating: dist/torchrec/ 2025-09-07T08:19:14.0441429Z inflating: dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T08:19:14.0441879Z creating: dist/fbgemm_gpu/ 2025-09-07T08:19:14.9419874Z inflating: dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T08:19:14.9420440Z creating: dist/ao/ 2025-09-07T08:19:14.9461985Z inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T08:19:14.9592639Z inflating: dist/.ninja_log 2025-09-07T08:19:14.9593265Z creating: build/custom_test_artifacts/ 2025-09-07T08:19:14.9594057Z creating: build/custom_test_artifacts/custom-op-build/ 2025-09-07T08:19:14.9594577Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-09-07T08:19:14.9595214Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-09-07T08:19:14.9601345Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-09-07T08:19:14.9602049Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/ 2025-09-07T08:19:14.9602746Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeSystem.cmake 2025-09-07T08:19:14.9603495Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/ 2025-09-07T08:19:14.9604219Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/tmp/ 2025-09-07T08:19:14.9605051Z inflating: 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build/bin/c10_cuda_CUDATest 2025-09-07T08:19:22.9891640Z inflating: build/bin/vec_test_all_types_DEFAULT 2025-09-07T08:19:23.0513811Z inflating: build/bin/vec_test_all_types_AVX2 2025-09-07T08:19:23.1124288Z inflating: build/bin/vec_test_all_types_AVX512 2025-09-07T08:19:23.1180561Z inflating: build/bin/c10_cuda_CUDAAssertionsTest_catches_stream 2025-09-07T08:19:23.1236198Z inflating: build/bin/c10_cuda_CUDAAssertionsTest_from_2_processes 2025-09-07T08:19:23.1293175Z inflating: build/bin/c10_cuda_CUDAAssertionsTest_multiple_writes_from_multiple_blocks 2025-09-07T08:19:23.1349219Z inflating: build/bin/c10_cuda_CUDAAssertionsTest_multiple_writes_from_same_block 2025-09-07T08:19:23.1405229Z inflating: build/bin/c10_cuda_CUDAAssertionsTest_multiple_writes_from_blocks_and_threads 2025-09-07T08:19:23.1461058Z inflating: build/bin/c10_cuda_CUDAAssertionsTest_catches_thread_and_block_and_device 2025-09-07T08:19:23.1517286Z inflating: build/bin/c10_cuda_CUDAAssertionsTest_1_var_test 2025-09-07T08:19:23.1573056Z inflating: build/bin/BackoffTest 2025-09-07T08:19:23.1633667Z inflating: build/bin/TCPStoreTest 2025-09-07T08:19:23.1690039Z inflating: build/bin/FileStoreTest 2025-09-07T08:19:23.1747256Z inflating: build/bin/HashStoreTest 2025-09-07T08:19:23.1761241Z inflating: build/bin/ProcessGroupMPITest 2025-09-07T08:19:23.1764028Z inflating: build/bin/example_allreduce 2025-09-07T08:19:23.1819394Z inflating: build/bin/Dimname_test 2025-09-07T08:19:23.1880783Z inflating: build/bin/NamedTensor_test 2025-09-07T08:19:23.1949646Z inflating: build/bin/MaybeOwned_test 2025-09-07T08:19:23.2027596Z inflating: build/bin/Dict_test 2025-09-07T08:19:23.2090197Z inflating: build/bin/atest 2025-09-07T08:19:23.2153260Z inflating: build/bin/apply_utils_test 2025-09-07T08:19:23.2220463Z inflating: build/bin/basic 2025-09-07T08:19:23.2282608Z inflating: build/bin/cpu_generator_test 2025-09-07T08:19:23.2341477Z inflating: build/bin/broadcast_test 2025-09-07T08:19:23.2396299Z inflating: build/bin/cpu_allocator_test 2025-09-07T08:19:23.2452907Z inflating: build/bin/cpu_profiling_allocator_test 2025-09-07T08:19:23.2550067Z inflating: build/bin/cpu_rng_test 2025-09-07T08:19:23.2611561Z inflating: build/bin/extension_backend_test 2025-09-07T08:19:23.2667093Z inflating: build/bin/dlconvertor_test 2025-09-07T08:19:23.2725836Z inflating: build/bin/half_test 2025-09-07T08:19:23.2827299Z inflating: build/bin/ivalue_test 2025-09-07T08:19:23.2880648Z inflating: build/bin/lazy_tensor_test 2025-09-07T08:19:23.2938091Z inflating: build/bin/math_kernel_test 2025-09-07T08:19:23.2996307Z inflating: build/bin/memory_format_test 2025-09-07T08:19:23.3053145Z inflating: build/bin/memory_overlapping_test 2025-09-07T08:19:23.3109689Z inflating: build/bin/mobile_memory_cleanup 2025-09-07T08:19:23.3169472Z inflating: build/bin/native_test 2025-09-07T08:19:23.3224207Z inflating: build/bin/operators_test 2025-09-07T08:19:23.3278671Z inflating: build/bin/operator_name_test 2025-09-07T08:19:23.3334843Z inflating: build/bin/packedtensoraccessor_test 2025-09-07T08:19:23.3405678Z inflating: build/bin/pow_test 2025-09-07T08:19:23.3459376Z inflating: build/bin/reduce_ops_test 2025-09-07T08:19:23.3514307Z inflating: build/bin/reportMemoryUsage_test 2025-09-07T08:19:23.3575265Z inflating: build/bin/quantized_test 2025-09-07T08:19:23.3636014Z inflating: build/bin/scalar_tensor_test 2025-09-07T08:19:23.3699403Z inflating: build/bin/scalar_test 2025-09-07T08:19:23.3754642Z inflating: build/bin/StorageUtils_test 2025-09-07T08:19:23.3810574Z inflating: build/bin/stride_properties_test 2025-09-07T08:19:23.3893719Z inflating: build/bin/tensor_iterator_test 2025-09-07T08:19:23.3947906Z inflating: build/bin/thread_init_test 2025-09-07T08:19:23.4006506Z inflating: build/bin/test_parallel 2025-09-07T08:19:23.4065495Z inflating: build/bin/type_ptr_test 2025-09-07T08:19:23.4128744Z inflating: build/bin/type_test 2025-09-07T08:19:23.4184337Z inflating: build/bin/undefined_tensor_test 2025-09-07T08:19:23.4237312Z inflating: build/bin/verify_api_visibility 2025-09-07T08:19:23.4311369Z inflating: build/bin/legacy_vmap_test 2025-09-07T08:19:23.4366928Z inflating: build/bin/weakref_test 2025-09-07T08:19:23.4421781Z inflating: build/bin/wrapdim_test 2025-09-07T08:19:23.4476913Z inflating: build/bin/xla_tensor_test 2025-09-07T08:19:23.4540076Z inflating: build/bin/IListRef_test 2025-09-07T08:19:23.4651105Z inflating: build/bin/List_test 2025-09-07T08:19:23.4721647Z inflating: build/bin/KernelFunction_test 2025-09-07T08:19:23.4847713Z inflating: build/bin/kernel_function_legacy_test 2025-09-07T08:19:23.4948149Z inflating: build/bin/kernel_function_test 2025-09-07T08:19:23.5081159Z inflating: build/bin/kernel_lambda_legacy_test 2025-09-07T08:19:23.5188889Z inflating: build/bin/kernel_lambda_test 2025-09-07T08:19:23.5254004Z inflating: build/bin/kernel_stackbased_test 2025-09-07T08:19:23.5354864Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-09-07T08:19:23.5409540Z inflating: build/bin/CppSignature_test 2025-09-07T08:19:23.5468581Z inflating: build/bin/backend_fallback_test 2025-09-07T08:19:23.5520694Z inflating: build/bin/op_allowlist_test 2025-09-07T08:19:23.5824779Z inflating: build/bin/op_registration_test 2025-09-07T08:19:23.5895173Z inflating: build/bin/inline_container_test 2025-09-07T08:19:23.5951503Z inflating: build/bin/cuda_apply_test 2025-09-07T08:19:23.6014578Z inflating: build/bin/cuda_atomic_ops_test 2025-09-07T08:19:23.6070070Z inflating: build/bin/cuda_allocator_test 2025-09-07T08:19:23.6130322Z inflating: build/bin/cuda_caching_host_allocator_test 2025-09-07T08:19:23.6204201Z inflating: build/bin/cuda_complex_math_test 2025-09-07T08:19:23.6267718Z inflating: build/bin/cuda_complex_test 2025-09-07T08:19:23.6333305Z inflating: build/bin/cuda_cub_test 2025-09-07T08:19:23.6386350Z inflating: build/bin/cuda_device_test 2025-09-07T08:19:23.6455082Z inflating: build/bin/cuda_distributions_test 2025-09-07T08:19:23.6510974Z inflating: build/bin/cuda_dlconvertor_test 2025-09-07T08:19:23.6564889Z inflating: build/bin/cuda_exchange_device_test 2025-09-07T08:19:23.6626245Z inflating: build/bin/cuda_generator_test 2025-09-07T08:19:23.6679947Z inflating: build/bin/cuda_half_test 2025-09-07T08:19:23.6734644Z inflating: build/bin/cuda_integer_divider_test 2025-09-07T08:19:23.6788086Z inflating: build/bin/cuda_optional_test 2025-09-07T08:19:23.6843834Z inflating: build/bin/cuda_reportMemoryUsage_test 2025-09-07T08:19:23.6899105Z inflating: build/bin/cuda_packedtensoraccessor_test 2025-09-07T08:19:23.6952764Z inflating: build/bin/cuda_allocatorTraceTracker_test 2025-09-07T08:19:23.7017203Z inflating: build/bin/cuda_stream_test 2025-09-07T08:19:23.7073062Z inflating: build/bin/cuda_vectorized_test 2025-09-07T08:19:23.7125976Z inflating: build/bin/cuda_cudnn_test 2025-09-07T08:19:23.7513190Z inflating: build/bin/test_nativert 2025-09-07T08:19:23.7572501Z inflating: build/bin/test_dist_autograd 2025-09-07T08:19:23.7645471Z inflating: build/bin/test_cpp_rpc 2025-09-07T08:19:23.8847078Z inflating: build/bin/test_api 2025-09-07T08:19:23.8849323Z inflating: build/bin/parallel_benchmark 2025-09-07T08:19:23.8916661Z inflating: build/bin/ProcessGroupNCCLTest 2025-09-07T08:19:23.8982167Z inflating: build/bin/ProcessGroupNCCLErrorsTest 2025-09-07T08:19:24.0106492Z inflating: build/bin/test_jit 2025-09-07T08:19:24.0176120Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T08:19:24.0237428Z inflating: build/bin/ProcessGroupGlooAsyncTest 2025-09-07T08:19:24.2490508Z inflating: build/bin/test_lazy 2025-09-07T08:19:24.2494328Z inflating: build/bin/torch_shm_manager 2025-09-07T08:19:24.2494996Z creating: .additional_ci_files/ 2025-09-07T08:19:24.2585319Z inflating: .additional_ci_files/test-times.json 2025-09-07T08:19:24.2925802Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T08:19:24.2995308Z ##[group]Run rm artifacts.zip 2025-09-07T08:19:24.2995635Z rm artifacts.zip 2025-09-07T08:19:24.3008008Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:19:24.3008433Z env: 2025-09-07T08:19:24.3008649Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:24.3009006Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:24.3009491Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T08:19:24.3009896Z ##[endgroup] 2025-09-07T08:19:33.3800368Z ##[group]Run df -H 2025-09-07T08:19:33.3800647Z df -H 2025-09-07T08:19:33.3812845Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:19:33.3813235Z env: 2025-09-07T08:19:33.3813463Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:33.3813807Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:33.3814282Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T08:19:33.3814666Z ##[endgroup] 2025-09-07T08:19:33.3942208Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T08:19:33.3942594Z overlay 5.3T 301G 5.0T 6% / 2025-09-07T08:19:33.3942918Z tmpfs 68M 0 68M 0% /dev 2025-09-07T08:19:33.3943261Z shm 68M 0 68M 0% /dev/shm 2025-09-07T08:19:33.3943628Z /dev/root 5.3T 301G 5.0T 6% /home/alice/_work 2025-09-07T08:19:33.3944170Z tmpfs 121G 111k 121G 1% /run/docker.sock 2025-09-07T08:19:33.3944690Z tmpfs 603G 13k 603G 1% /proc/driver/nvidia 2025-09-07T08:19:33.3945169Z tmpfs 241G 1.7M 241G 1% /run/.ro1333869478/nvidia-persistenced/socket 2025-09-07T08:19:33.3945639Z tmpfs 603G 0 603G 0% /proc/acpi 2025-09-07T08:19:33.3945991Z tmpfs 603G 0 603G 0% /proc/scsi 2025-09-07T08:19:33.3946350Z tmpfs 603G 0 603G 0% /sys/firmware 2025-09-07T08:19:33.3978324Z Prepare all required actions 2025-09-07T08:19:33.3979122Z Getting action download info 2025-09-07T08:19:33.5840664Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T08:19:33.5841038Z with: 2025-09-07T08:19:33.5841251Z env: 2025-09-07T08:19:33.5841475Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:33.5841817Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:33.5842490Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T08:19:33.5842908Z ##[endgroup] 2025-09-07T08:19:33.6081458Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T08:19:33.6081797Z with: 2025-09-07T08:19:33.6082015Z name: td_results 2025-09-07T08:19:33.6095524Z s3-bucket: gha-artifacts 2025-09-07T08:19:33.6095804Z region: us-east-1 2025-09-07T08:19:33.6096021Z env: 2025-09-07T08:19:33.6096212Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:33.6096537Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:33.6097022Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T08:19:33.6097394Z ##[endgroup] 2025-09-07T08:19:34.0679247Z (node:9451) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T08:19:34.0679779Z 2025-09-07T08:19:34.0679972Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T08:19:34.0680568Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T08:19:34.0681143Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T08:19:34.3363718Z Found 0 objects with prefix pytorch/pytorch/17525309334/td_results/ 2025-09-07T08:19:34.3369796Z Artifact download has finished successfully 2025-09-07T08:19:34.3591298Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T08:19:34.3591692Z mkdir -p .additional_ci_files 2025-09-07T08:19:34.3592153Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T08:19:34.3604801Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:19:34.3605193Z env: 2025-09-07T08:19:34.3605428Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:34.3605775Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:34.3606251Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T08:19:34.3606658Z ##[endgroup] 2025-09-07T08:19:34.5776565Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T08:19:34.5837394Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T08:19:34.5837769Z .github/scripts/parse_ref.py 2025-09-07T08:19:34.5849382Z shell: /usr/bin/bash -e {0} 2025-09-07T08:19:34.5849675Z env: 2025-09-07T08:19:34.5849906Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:34.5850263Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:34.5850746Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T08:19:34.5851156Z ##[endgroup] 2025-09-07T08:19:34.6122102Z Setting output branch=main 2025-09-07T08:19:34.6245063Z Prepare all required actions 2025-09-07T08:19:34.6245462Z Getting action download info 2025-09-07T08:19:34.8047346Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T08:19:34.8047737Z with: 2025-09-07T08:19:34.8048212Z github-token: *** 2025-09-07T08:19:34.8053988Z test-matrix: {"include": [{"config": "inductor_huggingface_perf", "shard": 1, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 2, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 3, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 4, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 5, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 1, "num_shards": 2, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 2, "num_shards": 2, "runner": "linux.aws.a100"}]} 2025-09-07T08:19:34.8060376Z job-name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 2, 5, linux.aws.a100) 2025-09-07T08:19:34.8060895Z env: 2025-09-07T08:19:34.8061115Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:34.8061464Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:34.8061929Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T08:19:34.8062329Z ##[endgroup] 2025-09-07T08:19:34.8267000Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T08:19:34.8267320Z with: 2025-09-07T08:19:34.8267517Z shell: bash 2025-09-07T08:19:34.8267751Z timeout_minutes: 10 2025-09-07T08:19:34.8268005Z max_attempts: 5 2025-09-07T08:19:34.8268248Z retry_wait_seconds: 30 2025-09-07T08:19:34.8269075Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T08:19:34.8270122Z polling_interval_seconds: 1 2025-09-07T08:19:34.8270417Z warning_on_retry: true 2025-09-07T08:19:34.8270693Z continue_on_error: false 2025-09-07T08:19:34.8270957Z env: 2025-09-07T08:19:34.8271160Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:34.8271503Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:34.8271980Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T08:19:34.8272562Z GITHUB_TOKEN: *** 2025-09-07T08:19:34.8272789Z ##[endgroup] 2025-09-07T08:19:34.9030147Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T08:19:35.2028786Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:19:35.6086200Z Collecting requests==2.27.1 2025-09-07T08:19:35.6788775Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T08:19:35.9210123Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.1/63.1 KB 220.9 kB/s eta 0:00:00 2025-09-07T08:19:36.2767121Z Collecting pyyaml==6.0.2 2025-09-07T08:19:36.2864784Z Downloading PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (751 kB) 2025-09-07T08:19:36.5677799Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 751.2/751.2 KB 2.7 MB/s eta 0:00:00 2025-09-07T08:19:36.5811221Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3/dist-packages (from requests==2.27.1) (1.26.5) 2025-09-07T08:19:37.0957504Z Collecting charset-normalizer~=2.0.0 2025-09-07T08:19:37.1053649Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T08:19:37.2438119Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3/dist-packages (from requests==2.27.1) (3.3) 2025-09-07T08:19:37.2445362Z Requirement already satisfied: certifi>=2017.4.17 in /usr/lib/python3/dist-packages (from requests==2.27.1) (2020.6.20) 2025-09-07T08:19:37.3216457Z Installing collected packages: pyyaml, charset-normalizer, requests 2025-09-07T08:19:37.9685200Z WARNING: The script normalizer is installed in '/home/alice/.local/bin' which is not on PATH. 2025-09-07T08:19:37.9686079Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T08:19:39.2217908Z Successfully installed charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T08:19:39.9047654Z Command completed after 1 attempt(s). 2025-09-07T08:19:39.9132719Z ##[group]Run set -x 2025-09-07T08:19:39.9133029Z set -x 2025-09-07T08:19:39.9133284Z  2025-09-07T08:19:39.9133689Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T08:19:39.9134223Z # in runner workspace 2025-09-07T08:19:39.9134652Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T08:19:39.9148498Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:19:39.9148931Z env: 2025-09-07T08:19:39.9149165Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:39.9149560Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:39.9150058Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T08:19:39.9150483Z ##[endgroup] 2025-09-07T08:19:39.9259710Z + python3 /home/alice/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T08:19:39.9421303Z Setting output branch=main 2025-09-07T08:19:39.9553982Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T08:19:39.9554476Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T08:19:39.9554836Z echo "Job name: ${JOB_NAME}" 2025-09-07T08:19:39.9555149Z  2025-09-07T08:19:39.9555552Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T08:19:39.9556050Z # in runner workspace 2025-09-07T08:19:39.9556503Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T08:19:39.9557017Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T08:19:39.9557389Z  --job-name "${JOB_NAME}" \ 2025-09-07T08:19:39.9563390Z  --test-matrix "{"include": [{"config": "inductor_huggingface_perf", "shard": 1, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 2, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 3, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 4, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 5, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 1, "num_shards": 2, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 2, "num_shards": 2, "runner": "linux.aws.a100"}]}" \ 2025-09-07T08:19:39.9569531Z  --selected-test-configs "" \ 2025-09-07T08:19:39.9569898Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T08:19:39.9570225Z  --tag "${TAG}" \ 2025-09-07T08:19:39.9570540Z  --event-name "${EVENT_NAME}" \ 2025-09-07T08:19:39.9570888Z  --schedule "${SCHEDULE}" \ 2025-09-07T08:19:39.9571220Z  --branch "${HEAD_BRANCH}" 2025-09-07T08:19:39.9583331Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:19:39.9583726Z env: 2025-09-07T08:19:39.9584132Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:39.9584696Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:39.9585180Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T08:19:39.9585820Z GITHUB_TOKEN: *** 2025-09-07T08:19:39.9586268Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 2, 5, linux.aws.a100) 2025-09-07T08:19:39.9586941Z PR_NUMBER: 2025-09-07T08:19:39.9587180Z TAG: 2025-09-07T08:19:39.9587409Z EVENT_NAME: schedule 2025-09-07T08:19:39.9587662Z SCHEDULE: 0 7 * * 0 2025-09-07T08:19:39.9587920Z HEAD_BRANCH: main 2025-09-07T08:19:39.9588175Z ##[endgroup] 2025-09-07T08:19:39.9680639Z Workflow: inductor-A100-perf-nightly 2025-09-07T08:19:39.9681185Z Job name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 2, 5, linux.aws.a100) 2025-09-07T08:19:40.4984427Z Setting output keep-going=True 2025-09-07T08:19:40.4984791Z Setting output ci-verbose-test-logs=False 2025-09-07T08:19:40.4985154Z Setting output ci-test-showlocals=False 2025-09-07T08:19:40.4985531Z Setting output ci-no-test-timeout=False 2025-09-07T08:19:40.4985881Z Setting output ci-no-td=False 2025-09-07T08:19:40.4986212Z Setting output ci-td-distributed=False 2025-09-07T08:19:40.4986545Z Setting output is-unstable=False 2025-09-07T08:19:40.4987076Z Setting output reenabled-issues= 2025-09-07T08:19:40.4993299Z Setting output test-matrix={"include": [{"config": "inductor_huggingface_perf", "shard": 1, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 2, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 3, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 4, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 5, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 1, "num_shards": 2, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 2, "num_shards": 2, "runner": "linux.aws.a100"}]} 2025-09-07T08:19:40.4999461Z Setting output is-test-matrix-empty=False 2025-09-07T08:19:40.5161336Z ##[group]Run echo "Filtered matrix:" 2025-09-07T08:19:40.5161786Z echo "Filtered matrix:" 2025-09-07T08:19:40.5167737Z echo "{"include": [{"config": "inductor_huggingface_perf", "shard": 1, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 2, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 3, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 4, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 5, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 1, "num_shards": 2, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 2, "num_shards": 2, "runner": "linux.aws.a100"}]}" 2025-09-07T08:19:40.5174083Z  2025-09-07T08:19:40.5174379Z echo 2025-09-07T08:19:40.5174747Z echo "Is the current job unstable? False" 2025-09-07T08:19:40.5175178Z  2025-09-07T08:19:40.5175432Z echo 2025-09-07T08:19:40.5175773Z echo "Is keep-going label set? True" 2025-09-07T08:19:40.5176179Z  2025-09-07T08:19:40.5176466Z echo 2025-09-07T08:19:40.5176754Z echo "Reenabled issues? " 2025-09-07T08:19:40.5189170Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:19:40.5189657Z env: 2025-09-07T08:19:40.5189968Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:40.5190395Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:40.5190954Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T08:19:40.5191392Z ##[endgroup] 2025-09-07T08:19:40.5285726Z Filtered matrix: 2025-09-07T08:19:40.5292680Z {include: [{config: inductor_huggingface_perf, shard: 1, num_shards: 5, runner: linux.aws.a100}, {config: inductor_huggingface_perf, shard: 2, num_shards: 5, runner: linux.aws.a100}, {config: inductor_huggingface_perf, shard: 3, num_shards: 5, runner: linux.aws.a100}, {config: inductor_huggingface_perf, shard: 4, num_shards: 5, runner: linux.aws.a100}, {config: inductor_huggingface_perf, shard: 5, num_shards: 5, runner: linux.aws.a100}, {config: inductor_timm_perf, shard: 1, num_shards: 6, runner: linux.aws.a100}, {config: inductor_timm_perf, shard: 2, num_shards: 6, runner: linux.aws.a100}, {config: inductor_timm_perf, shard: 3, num_shards: 6, runner: linux.aws.a100}, {config: inductor_timm_perf, shard: 4, num_shards: 6, runner: linux.aws.a100}, {config: inductor_timm_perf, shard: 5, num_shards: 6, runner: linux.aws.a100}, {config: inductor_timm_perf, shard: 6, num_shards: 6, runner: linux.aws.a100}, {config: inductor_torchbench_perf, shard: 1, num_shards: 6, runner: linux.aws.a100}, {config: inductor_torchbench_perf, shard: 2, num_shards: 6, runner: linux.aws.a100}, {config: inductor_torchbench_perf, shard: 3, num_shards: 6, runner: linux.aws.a100}, {config: inductor_torchbench_perf, shard: 4, num_shards: 6, runner: linux.aws.a100}, {config: inductor_torchbench_perf, shard: 5, num_shards: 6, runner: linux.aws.a100}, {config: inductor_torchbench_perf, shard: 6, num_shards: 6, runner: linux.aws.a100}, {config: cachebench, shard: 1, num_shards: 2, runner: linux.aws.a100}, {config: cachebench, shard: 2, num_shards: 2, runner: linux.aws.a100}]} 2025-09-07T08:19:40.5298630Z 2025-09-07T08:19:40.5298811Z Is the current job unstable? False 2025-09-07T08:19:40.5299047Z 2025-09-07T08:19:40.5299228Z Is keep-going label set? True 2025-09-07T08:19:40.5299449Z 2025-09-07T08:19:40.5299570Z Reenabled issues? 2025-09-07T08:19:40.5385579Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T08:19:40.5386112Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T08:19:40.5397618Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:19:40.5398016Z env: 2025-09-07T08:19:40.5398249Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:40.5398599Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:40.5399061Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T08:19:40.5399470Z JOB_TIMEOUT: 1440 2025-09-07T08:19:40.5399717Z ##[endgroup] 2025-09-07T08:19:40.5673588Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:19:40.5674136Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:19:40.5674611Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:19:40.5685691Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:19:40.5686088Z env: 2025-09-07T08:19:40.5686317Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:40.5686662Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:40.5687149Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T08:19:40.5687536Z ##[endgroup] 2025-09-07T08:19:40.5988711Z ##[group]Run set -x 2025-09-07T08:19:40.5989061Z set -x 2025-09-07T08:19:40.5989289Z  2025-09-07T08:19:40.5989538Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T08:19:40.5989951Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T08:19:40.5990367Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T08:19:40.5990741Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T08:19:40.5991044Z else 2025-09-07T08:19:40.5991301Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T08:19:40.5991618Z fi 2025-09-07T08:19:40.5991825Z  2025-09-07T08:19:40.5992087Z # Leaving 1GB for the runner and other things 2025-09-07T08:19:40.5992692Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T08:19:40.5993604Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T08:19:40.5994334Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T08:19:40.5994868Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T08:19:40.5995300Z  2025-09-07T08:19:40.5995565Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T08:19:40.5995920Z  SHM_OPTS= 2025-09-07T08:19:40.5996162Z  JENKINS_USER= 2025-09-07T08:19:40.5996519Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T08:19:40.5997014Z  # if for some reason cleanup action doesn't stop container 2025-09-07T08:19:40.5997422Z  # when job is cancelled 2025-09-07T08:19:40.5997728Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T08:19:40.5998023Z else 2025-09-07T08:19:40.5998279Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T08:19:40.5998629Z  JENKINS_USER="--user jenkins" 2025-09-07T08:19:40.5998956Z  DOCKER_SHELL_CMD= 2025-09-07T08:19:40.5999208Z fi 2025-09-07T08:19:40.5999410Z  2025-09-07T08:19:40.5999743Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T08:19:40.6000292Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T08:19:40.6000913Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T08:19:40.6001484Z # shellcheck disable=SC2086,SC2090 2025-09-07T08:19:40.6001836Z container_name=$(docker run \ 2025-09-07T08:19:40.6002162Z  ${GPU_FLAG:-} \ 2025-09-07T08:19:40.6002481Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T08:19:40.6002835Z  -e BUILD_ENVIRONMENT \ 2025-09-07T08:19:40.6003156Z  -e PR_NUMBER \ 2025-09-07T08:19:40.6003606Z  -e GITHUB_ACTIONS \ 2025-09-07T08:19:40.6003913Z  -e GITHUB_REPOSITORY \ 2025-09-07T08:19:40.6004219Z  -e GITHUB_WORKFLOW \ 2025-09-07T08:19:40.6004522Z  -e GITHUB_JOB \ 2025-09-07T08:19:40.6004812Z  -e GITHUB_RUN_ID \ 2025-09-07T08:19:40.6005113Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T08:19:40.6005416Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T08:19:40.6005727Z  -e JOB_ID \ 2025-09-07T08:19:40.6005995Z  -e JOB_NAME \ 2025-09-07T08:19:40.6006267Z  -e BASE_SHA \ 2025-09-07T08:19:40.6006521Z  -e BRANCH \ 2025-09-07T08:19:40.6006776Z  -e SHA1 \ 2025-09-07T08:19:40.6007043Z  -e AWS_DEFAULT_REGION \ 2025-09-07T08:19:40.6007357Z  -e IN_WHEEL_TEST \ 2025-09-07T08:19:40.6007633Z  -e SHARD_NUMBER \ 2025-09-07T08:19:40.6007923Z  -e TEST_CONFIG \ 2025-09-07T08:19:40.6008210Z  -e NUM_TEST_SHARDS \ 2025-09-07T08:19:40.6008517Z  -e REENABLED_ISSUES \ 2025-09-07T08:19:40.6008833Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T08:19:40.6009280Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T08:19:40.6009592Z  -e TEST_SHOWLOCALS \ 2025-09-07T08:19:40.6009890Z  -e NO_TEST_TIMEOUT \ 2025-09-07T08:19:40.6010178Z  -e NO_TD \ 2025-09-07T08:19:40.6010429Z  -e TD_DISTRIBUTED \ 2025-09-07T08:19:40.6010722Z  -e PR_LABELS \ 2025-09-07T08:19:40.6011030Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T08:19:40.6011374Z  -e SCCACHE_BUCKET \ 2025-09-07T08:19:40.6011659Z  -e SCCACHE_REGION \ 2025-09-07T08:19:40.6011946Z  -e XLA_CUDA \ 2025-09-07T08:19:40.6012245Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T08:19:40.6012626Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T08:19:40.6012995Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T08:19:40.6013385Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T08:19:40.6013745Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T08:19:40.6014094Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T08:19:40.6014442Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T08:19:40.6014783Z  -e DASHBOARD_TAG \ 2025-09-07T08:19:40.6015084Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T08:19:40.6015460Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T08:19:40.6015900Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T08:19:40.6016321Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T08:19:40.6016736Z  --security-opt seccomp=unconfined \ 2025-09-07T08:19:40.6017094Z  --cap-add=SYS_PTRACE \ 2025-09-07T08:19:40.6017402Z  --ipc=host \ 2025-09-07T08:19:40.6017657Z  ${SHM_OPTS} \ 2025-09-07T08:19:40.6017921Z  --tty \ 2025-09-07T08:19:40.6018170Z  --detach \ 2025-09-07T08:19:40.6018450Z  --name="${container_name}" \ 2025-09-07T08:19:40.6018765Z  ${JENKINS_USER} \ 2025-09-07T08:19:40.6019130Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T08:19:40.6019554Z  -w /var/lib/jenkins/workspace \ 2025-09-07T08:19:40.6019890Z  "${DOCKER_IMAGE}" \ 2025-09-07T08:19:40.6020172Z  ${DOCKER_SHELL_CMD} 2025-09-07T08:19:40.6020451Z ) 2025-09-07T08:19:40.6020751Z # Propagate download.pytorch.org IP to container 2025-09-07T08:19:40.6021447Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T08:19:40.6022197Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T08:19:40.6022611Z  2025-09-07T08:19:40.6022890Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T08:19:40.6023497Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T08:19:40.6024162Z fi 2025-09-07T08:19:40.6024480Z  2025-09-07T08:19:40.6025004Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T08:19:40.6036426Z shell: /usr/bin/bash -e {0} 2025-09-07T08:19:40.6036716Z env: 2025-09-07T08:19:40.6036944Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:19:40.6037279Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:19:40.6037759Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T08:19:40.6038258Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:19:40.6038647Z PR_NUMBER: 2025-09-07T08:19:40.6038899Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T08:19:40.6039242Z GITHUB_WORKFLOW: inductor-A100-perf-nightly 2025-09-07T08:19:40.6039582Z GITHUB_JOB: test 2025-09-07T08:19:40.6039833Z GITHUB_RUN_ID: 17525309334 2025-09-07T08:19:40.6040129Z GITHUB_RUN_NUMBER: 5418 2025-09-07T08:19:40.6040392Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T08:19:40.6040652Z JOB_ID: 49775768411 2025-09-07T08:19:40.6041264Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 2, 5, linux.aws.a100) 2025-09-07T08:19:40.6041783Z BRANCH: main 2025-09-07T08:19:40.6042038Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:19:40.6042429Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:19:40.6042813Z TEST_CONFIG: inductor_huggingface_perf 2025-09-07T08:19:40.6043135Z SHARD_NUMBER: 2 2025-09-07T08:19:40.6043359Z NUM_TEST_SHARDS: 5 2025-09-07T08:19:40.6043611Z REENABLED_ISSUES: 2025-09-07T08:19:40.6043872Z CONTINUE_THROUGH_ERROR: True 2025-09-07T08:19:40.6044170Z VERBOSE_TEST_LOGS: False 2025-09-07T08:19:40.6044437Z TEST_SHOWLOCALS: False 2025-09-07T08:19:40.6044715Z NO_TEST_TIMEOUT: False 2025-09-07T08:19:40.6044972Z NO_TD: False 2025-09-07T08:19:40.6045211Z TD_DISTRIBUTED: False 2025-09-07T08:19:40.6045532Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T08:19:40.6045915Z SCCACHE_REGION: us-east-1 2025-09-07T08:19:40.6046193Z SHM_SIZE: 2g 2025-09-07T08:19:40.6047143Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:19:40.6048163Z XLA_CUDA: 2025-09-07T08:19:40.6048525Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:19:40.6049007Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T08:19:40.6049349Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T08:19:40.6050717Z DASHBOARD_TAG: training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T08:19:40.6052272Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T08:19:40.6052709Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T08:19:40.6053139Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T08:19:40.6053651Z ARTIFACTS_FILE_SUFFIX: test-inductor_huggingface_perf-2-5-linux.aws.a100_49775768411 2025-09-07T08:19:40.6054162Z ##[endgroup] 2025-09-07T08:19:40.6107682Z + [[ inductor_huggingface_perf == \m\u\l\t\i\g\p\u ]] 2025-09-07T08:19:40.6108131Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *onnx* ]] 2025-09-07T08:19:40.6108525Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T08:19:40.6110866Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T08:19:40.6118940Z + TOTAL_AVAILABLE_MEMORY_IN_GB='1120.797 ' 2025-09-07T08:19:40.6119311Z + TOTAL_MEMORY_WITH_SWAP=1123 2025-09-07T08:19:40.6119695Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *\s\3\9\0\x* ]] 2025-09-07T08:19:40.6120101Z + SHM_OPTS=--shm-size=2g 2025-09-07T08:19:40.6120389Z + JENKINS_USER='--user jenkins' 2025-09-07T08:19:40.6120669Z + DOCKER_SHELL_CMD= 2025-09-07T08:19:40.6126785Z +++ nproc --ignore=2 2025-09-07T08:19:40.6139702Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e SCCACHE_SERVER_PORT=5227 -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=10 -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=1120g --memory-swap=1123g --env-file=/tmp/github_env_17525309334 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --tty --detach --name= --user jenkins -v /home/alice/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:26:23.9715536Z + container_name=e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T08:26:23.9717694Z + grep download.pytorch.org /etc/hosts 2025-09-07T08:26:23.9719756Z + docker exec -i e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T08:26:24.0242159Z + echo DOCKER_CONTAINER_ID=e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T08:26:24.0242832Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *\s\3\9\0\x* ]] 2025-09-07T08:26:24.0245491Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T08:26:24.0247799Z + docker exec -t e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T08:26:24.4195557Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T08:26:25.2416178Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.19.1) 2025-09-07T08:26:25.2419968Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (4.15.0) 2025-09-07T08:26:25.2424332Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.13.3) 2025-09-07T08:26:25.2429537Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2.8.8) 2025-09-07T08:26:25.2433015Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.1.6) 2025-09-07T08:26:25.2437573Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2025.3.0) 2025-09-07T08:26:25.2450738Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.3.0) 2025-09-07T08:26:25.2812738Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.22.4) 2025-09-07T08:26:25.2832067Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.3.0) 2025-09-07T08:26:25.2867443Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.0.2) 2025-09-07T08:26:26.1805385Z Installing collected packages: torch 2025-09-07T08:26:37.9941793Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. 2025-09-07T08:26:37.9942801Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T08:26:37.9943258Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T08:26:37.9943787Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-09-07T08:26:37.9944499Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T08:26:37.9945306Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T08:26:37.9946131Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T08:26:37.9947226Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T08:26:38.0957044Z + export TERM=vt100 2025-09-07T08:26:38.0957373Z + TERM=vt100 2025-09-07T08:26:38.0959505Z ++ dirname .ci/pytorch/test.sh 2025-09-07T08:26:38.0967290Z + source .ci/pytorch/common.sh 2025-09-07T08:26:38.0970732Z +++ dirname .ci/pytorch/common.sh 2025-09-07T08:26:38.0977509Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T08:26:38.0978736Z +++ declare -f -t trap_add 2025-09-07T08:26:38.0983520Z ++ set -ex -o pipefail 2025-09-07T08:26:38.0983859Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *rocm* ]] 2025-09-07T08:26:38.0984363Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T08:26:38.0987332Z ++ dirname .ci/pytorch/test.sh 2025-09-07T08:26:38.0993886Z + source .ci/pytorch/common-build.sh 2025-09-07T08:26:38.0995503Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *win-* ]] 2025-09-07T08:26:38.1001301Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T08:26:38.1008492Z +++ cd .ci/pytorch 2025-09-07T08:26:38.1008781Z +++ pwd -P 2025-09-07T08:26:38.1010250Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T08:26:38.1010765Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *-pch* ]] 2025-09-07T08:26:38.1011211Z ++ which sccache 2025-09-07T08:26:38.1022983Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T08:26:38.1023377Z ++ sccache --stop-server 2025-09-07T08:26:38.1046718Z ++ true 2025-09-07T08:26:38.1046975Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T08:26:38.1055480Z ++ trap_add sccache_epilogue EXIT 2025-09-07T08:26:38.1055835Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T08:26:38.1056126Z ++ shift 2025-09-07T08:26:38.1056339Z ++ for trap_add_name in "$@" 2025-09-07T08:26:38.1061339Z ++++ trap -p EXIT 2025-09-07T08:26:38.1063659Z +++ eval 'extract_trap_cmd ' 2025-09-07T08:26:38.1063947Z ++++ extract_trap_cmd 2025-09-07T08:26:38.1064264Z ++++ printf '%s\n' '' 2025-09-07T08:26:38.1064554Z +++ printf '%s\n' sccache_epilogue 2025-09-07T08:26:38.1065803Z ++ trap -- ' 2025-09-07T08:26:38.1066191Z sccache_epilogue' EXIT 2025-09-07T08:26:38.1066470Z ++ [[ -n 1 ]] 2025-09-07T08:26:38.1067017Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T08:26:38.1067640Z Skipping sccache server initialization, setting environment variables 2025-09-07T08:26:38.1068285Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:26:38.1068846Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:26:38.1069330Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:26:38.1069785Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:26:38.1070348Z ++ export RUST_LOG=sccache::server=error 2025-09-07T08:26:38.1070878Z ++ RUST_LOG=sccache::server=error 2025-09-07T08:26:38.1071419Z ++ sccache --zero-stats 2025-09-07T08:26:38.5522825Z Statistics zeroed. 2025-09-07T08:26:38.5526283Z ++ which ccache 2025-09-07T08:26:38.5538892Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *rocm* ]] 2025-09-07T08:26:38.5539356Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *s390x* ]] 2025-09-07T08:26:38.5539767Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T08:26:38.5541932Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T08:26:38.5552507Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T08:26:38.5552946Z + trap_add cleanup_workspace EXIT 2025-09-07T08:26:38.5553274Z + trap_add_cmd=cleanup_workspace 2025-09-07T08:26:38.5553556Z + shift 2025-09-07T08:26:38.5553793Z + for trap_add_name in "$@" 2025-09-07T08:26:38.5559062Z +++ trap -p EXIT 2025-09-07T08:26:38.5561258Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T08:26:38.5561588Z sccache_epilogue'\'' EXIT' 2025-09-07T08:26:38.5561876Z +++ extract_trap_cmd trap -- ' 2025-09-07T08:26:38.5562171Z sccache_epilogue' EXIT 2025-09-07T08:26:38.5562428Z +++ printf '%s\n' ' 2025-09-07T08:26:38.5562659Z sccache_epilogue' 2025-09-07T08:26:38.5562919Z ++ printf '%s\n' cleanup_workspace 2025-09-07T08:26:38.5563474Z + trap -- ' 2025-09-07T08:26:38.5563696Z sccache_epilogue 2025-09-07T08:26:38.5563934Z cleanup_workspace' EXIT 2025-09-07T08:26:38.5564521Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T08:26:43.9629475Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T08:26:43.9700253Z + echo 'Environment variables:' 2025-09-07T08:26:43.9700610Z Environment variables: 2025-09-07T08:26:43.9700881Z + env 2025-09-07T08:26:43.9711187Z GITHUB_WORKSPACE=/home/alice/_work/pytorch/pytorch 2025-09-07T08:26:43.9711631Z CONTINUE_THROUGH_ERROR=True 2025-09-07T08:26:43.9712022Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:26:43.9714389Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T08:26:43.9714731Z HOSTNAME=e79cf2e4a445 2025-09-07T08:26:43.9715272Z GITHUB_PATH=/home/alice/_work/_temp/_runner_file_commands/add_path_59b3a547-b895-498b-98d9-5c76407acf78 2025-09-07T08:26:43.9715854Z GITHUB_ACTION=__run_2 2025-09-07T08:26:43.9716150Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T08:26:43.9716516Z GITHUB_RUN_NUMBER=5418 2025-09-07T08:26:43.9716829Z TEST_CONFIG=inductor_huggingface_perf 2025-09-07T08:26:43.9717195Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T08:26:43.9717560Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T08:26:43.9717909Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:26:43.9718560Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T08:26:43.9718888Z GITHUB_TRIGGERING_ACTOR=desertfire 2025-09-07T08:26:43.9719194Z GITHUB_REF_TYPE=branch 2025-09-07T08:26:43.9719511Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:26:43.9719866Z XLA_CUDA= 2025-09-07T08:26:43.9720100Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T08:26:43.9720540Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T08:26:43.9720982Z *** 2025-09-07T08:26:43.9721232Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T08:26:43.9721546Z GITHUB_ACTIONS=true 2025-09-07T08:26:43.9721814Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:26:43.9722191Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:26:43.9722625Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:26:43.9723026Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:26:43.9723689Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly.yml@refs/heads/main 2025-09-07T08:26:43.9724304Z UCC_HOME=/usr 2025-09-07T08:26:43.9724563Z VERBOSE_TEST_LOGS=False 2025-09-07T08:26:43.9724850Z GITHUB_REF=refs/heads/main 2025-09-07T08:26:43.9725119Z SHARD_NUMBER=2 2025-09-07T08:26:43.9725377Z GITHUB_REF_PROTECTED=true 2025-09-07T08:26:43.9725669Z HOME=/var/lib/jenkins 2025-09-07T08:26:43.9725945Z SCCACHE_SERVER_PORT=5227 2025-09-07T08:26:43.9726253Z GITHUB_API_URL=https://api.github.com 2025-09-07T08:26:43.9726615Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T08:26:43.9726994Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T08:26:43.9727366Z USE_SYSTEM_NCCL=1 2025-09-07T08:26:43.9727605Z NUM_TEST_SHARDS=5 2025-09-07T08:26:43.9727894Z UCX_HOME=/usr 2025-09-07T08:26:43.9728409Z GITHUB_STATE=/home/alice/_work/_temp/_runner_file_commands/save_state_59b3a547-b895-498b-98d9-5c76407acf78 2025-09-07T08:26:43.9736285Z JOB_NAME=cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 2, 5, linux.aws.a100) 2025-09-07T08:26:43.9737064Z GITHUB_ENV=/home/alice/_work/_temp/_runner_file_commands/set_env_59b3a547-b895-498b-98d9-5c76407acf78 2025-09-07T08:26:43.9737745Z GITHUB_EVENT_PATH=/home/alice/_work/_temp/_github_workflow/event.json 2025-09-07T08:26:43.9738209Z GITHUB_EVENT_NAME=schedule 2025-09-07T08:26:43.9739554Z DASHBOARD_TAG=training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T08:26:43.9740934Z GITHUB_RUN_ID=17525309334 2025-09-07T08:26:43.9741222Z INSTALLED_OPENBLAS= 2025-09-07T08:26:43.9741774Z GITHUB_STEP_SUMMARY=/home/alice/_work/_temp/_runner_file_commands/step_summary_59b3a547-b895-498b-98d9-5c76407acf78 2025-09-07T08:26:43.9742420Z GITHUB_ACTOR=desertfire 2025-09-07T08:26:43.9742695Z PR_NUMBER= 2025-09-07T08:26:43.9742933Z DESIRED_CUDA=12.8.1 2025-09-07T08:26:43.9743182Z GITHUB_RUN_ATTEMPT=1 2025-09-07T08:26:43.9743668Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T08:26:43.9744050Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T08:26:43.9744596Z TERM=vt100 2025-09-07T08:26:43.9744819Z INSTALLED_VISION=yes 2025-09-07T08:26:43.9745087Z BRANCH=main 2025-09-07T08:26:43.9745337Z SCCACHE_REGION=us-east-1 2025-09-07T08:26:43.9745639Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T08:26:43.9745934Z CUDA_PATH=/usr/local/cuda 2025-09-07T08:26:43.9746412Z GITHUB_ACTION_PATH=/home/alice/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T08:26:43.9748133Z GITHUB_SERVER_URL=https://github.com 2025-09-07T08:26:43.9748528Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T08:26:43.9748889Z REENABLED_ISSUES= 2025-09-07T08:26:43.9749144Z DOCS= 2025-09-07T08:26:43.9749368Z SHLVL=1 2025-09-07T08:26:43.9749595Z MAX_JOBS=10 2025-09-07T08:26:43.9749836Z GITHUB_ACTOR_ID=3659962 2025-09-07T08:26:43.9750210Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:26:43.9750635Z GITHUB_REF_NAME=main 2025-09-07T08:26:43.9751051Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:26:43.9751502Z GITHUB_JOB=test 2025-09-07T08:26:43.9751760Z NO_TEST_TIMEOUT=False 2025-09-07T08:26:43.9752031Z TD_DISTRIBUTED=False 2025-09-07T08:26:43.9752324Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T08:26:43.9752636Z GITHUB_RETENTION_DAYS=90 2025-09-07T08:26:43.9752928Z OPENSSL_DIR=/opt/openssl 2025-09-07T08:26:43.9753225Z GITHUB_ACTION_REPOSITORY= 2025-09-07T08:26:43.9754060Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T08:26:43.9754905Z GITHUB_BASE_REF= 2025-09-07T08:26:43.9755160Z INSTALLED_ACL= 2025-09-07T08:26:43.9755602Z ARTIFACTS_FILE_SUFFIX=test-inductor_huggingface_perf-2-5-linux.aws.a100_49775768411 2025-09-07T08:26:43.9756122Z CI=true 2025-09-07T08:26:43.9756351Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T08:26:43.9756725Z RUST_LOG=sccache::server=error 2025-09-07T08:26:43.9757020Z JOB_ID=49775768411 2025-09-07T08:26:43.9757268Z GITHUB_HEAD_REF= 2025-09-07T08:26:43.9757502Z GITHUB_ACTION_REF= 2025-09-07T08:26:43.9757816Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T08:26:43.9758201Z TEST_SHOWLOCALS=False 2025-09-07T08:26:43.9758511Z GITHUB_WORKFLOW=inductor-A100-perf-nightly 2025-09-07T08:26:43.9758862Z DEBIAN_FRONTEND=noninteractive 2025-09-07T08:26:43.9759439Z GITHUB_OUTPUT=/home/alice/_work/_temp/_runner_file_commands/set_output_59b3a547-b895-498b-98d9-5c76407acf78 2025-09-07T08:26:43.9760030Z NO_TD=False 2025-09-07T08:26:43.9760283Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T08:26:43.9760599Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T08:26:43.9760935Z _=/usr/bin/env 2025-09-07T08:26:43.9761278Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T08:26:44.0021279Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-09-07T08:26:44.0021926Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-09-07T08:26:44.0022560Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-09-07T08:26:44.0023195Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-09-07T08:26:44.0023682Z + BUILD_DIR=build 2025-09-07T08:26:44.0023947Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T08:26:44.0024321Z + BUILD_BIN_DIR=build/bin 2025-09-07T08:26:44.0024596Z + SHARD_NUMBER=2 2025-09-07T08:26:44.0024845Z + NUM_TEST_SHARDS=5 2025-09-07T08:26:44.0025122Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:26:44.0025491Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:26:44.0025787Z + export VALGRIND=ON 2025-09-07T08:26:44.0026044Z + VALGRIND=ON 2025-09-07T08:26:44.0026360Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *clang9* ]] 2025-09-07T08:26:44.0026931Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *xpu* ]] 2025-09-07T08:26:44.0027318Z + detect_cuda_arch 2025-09-07T08:26:44.0027840Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *cuda* ]] 2025-09-07T08:26:44.0028236Z + command -v nvidia-smi 2025-09-07T08:26:44.0028496Z /usr/bin/nvidia-smi 2025-09-07T08:26:44.0031308Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-09-07T08:26:44.0032603Z ++ tail -n 1 2025-09-07T08:26:44.0268040Z + TORCH_CUDA_ARCH_LIST=8.0 2025-09-07T08:26:44.0268365Z + export TORCH_CUDA_ARCH_LIST 2025-09-07T08:26:44.0268723Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *s390x* ]] 2025-09-07T08:26:44.0269102Z + [[ 0 == \1 ]] 2025-09-07T08:26:44.0269339Z + [[ True == \1 ]] 2025-09-07T08:26:44.0269651Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *bazel* ]] 2025-09-07T08:26:44.0272780Z ++ realpath build/custom_test_artifacts 2025-09-07T08:26:44.0283612Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T08:26:44.0284163Z + [[ -n '' ]] 2025-09-07T08:26:44.0284424Z + echo 'Environment variables' 2025-09-07T08:26:44.0284710Z Environment variables 2025-09-07T08:26:44.0284962Z + env 2025-09-07T08:26:44.0288947Z GITHUB_WORKSPACE=/home/alice/_work/pytorch/pytorch 2025-09-07T08:26:44.0289336Z CONTINUE_THROUGH_ERROR=True 2025-09-07T08:26:44.0289690Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:26:44.0290344Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T08:26:44.0290651Z HOSTNAME=e79cf2e4a445 2025-09-07T08:26:44.0291172Z GITHUB_PATH=/home/alice/_work/_temp/_runner_file_commands/add_path_59b3a547-b895-498b-98d9-5c76407acf78 2025-09-07T08:26:44.0291750Z GITHUB_ACTION=__run_2 2025-09-07T08:26:44.0292016Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T08:26:44.0292337Z GITHUB_RUN_NUMBER=5418 2025-09-07T08:26:44.0292637Z TEST_CONFIG=inductor_huggingface_perf 2025-09-07T08:26:44.0292981Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T08:26:44.0293329Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T08:26:44.0293658Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:26:44.0294077Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T08:26:44.0294403Z GITHUB_TRIGGERING_ACTOR=desertfire 2025-09-07T08:26:44.0294729Z GITHUB_REF_TYPE=branch 2025-09-07T08:26:44.0295046Z TORCH_CUDA_ARCH_LIST=8.0 2025-09-07T08:26:44.0295371Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:26:44.0295711Z XLA_CUDA= 2025-09-07T08:26:44.0295960Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T08:26:44.0296388Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T08:26:44.0296874Z *** 2025-09-07T08:26:44.0297117Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T08:26:44.0297405Z GITHUB_ACTIONS=true 2025-09-07T08:26:44.0297683Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:26:44.0298048Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:26:44.0298466Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:26:44.0298843Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:26:44.0299507Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly.yml@refs/heads/main 2025-09-07T08:26:44.0302193Z UCC_HOME=/usr 2025-09-07T08:26:44.0302451Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:26:44.0302736Z VERBOSE_TEST_LOGS=False 2025-09-07T08:26:44.0303012Z GITHUB_REF=refs/heads/main 2025-09-07T08:26:44.0303286Z SHARD_NUMBER=2 2025-09-07T08:26:44.0303529Z GITHUB_REF_PROTECTED=true 2025-09-07T08:26:44.0303790Z HOME=/var/lib/jenkins 2025-09-07T08:26:44.0304054Z SCCACHE_SERVER_PORT=5227 2025-09-07T08:26:44.0304477Z GITHUB_API_URL=https://api.github.com 2025-09-07T08:26:44.0304829Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T08:26:44.0305177Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T08:26:44.0305536Z USE_SYSTEM_NCCL=1 2025-09-07T08:26:44.0305780Z NUM_TEST_SHARDS=5 2025-09-07T08:26:44.0306017Z UCX_HOME=/usr 2025-09-07T08:26:44.0306506Z GITHUB_STATE=/home/alice/_work/_temp/_runner_file_commands/save_state_59b3a547-b895-498b-98d9-5c76407acf78 2025-09-07T08:26:44.0307434Z JOB_NAME=cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 2, 5, linux.aws.a100) 2025-09-07T08:26:44.0308203Z GITHUB_ENV=/home/alice/_work/_temp/_runner_file_commands/set_env_59b3a547-b895-498b-98d9-5c76407acf78 2025-09-07T08:26:44.0309038Z GITHUB_EVENT_PATH=/home/alice/_work/_temp/_github_workflow/event.json 2025-09-07T08:26:44.0309480Z GITHUB_EVENT_NAME=schedule 2025-09-07T08:26:44.0310817Z DASHBOARD_TAG=training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T08:26:44.0312185Z GITHUB_RUN_ID=17525309334 2025-09-07T08:26:44.0312464Z INSTALLED_OPENBLAS= 2025-09-07T08:26:44.0313026Z GITHUB_STEP_SUMMARY=/home/alice/_work/_temp/_runner_file_commands/step_summary_59b3a547-b895-498b-98d9-5c76407acf78 2025-09-07T08:26:44.0313644Z GITHUB_ACTOR=desertfire 2025-09-07T08:26:44.0313908Z PR_NUMBER= 2025-09-07T08:26:44.0314132Z DESIRED_CUDA=12.8.1 2025-09-07T08:26:44.0314384Z GITHUB_RUN_ATTEMPT=1 2025-09-07T08:26:44.0314633Z VALGRIND=ON 2025-09-07T08:26:44.0314874Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T08:26:44.0315232Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T08:26:44.0315603Z TERM=vt100 2025-09-07T08:26:44.0315815Z INSTALLED_VISION=yes 2025-09-07T08:26:44.0316067Z BRANCH=main 2025-09-07T08:26:44.0316305Z SCCACHE_REGION=us-east-1 2025-09-07T08:26:44.0316595Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T08:26:44.0316879Z CUDA_PATH=/usr/local/cuda 2025-09-07T08:26:44.0317342Z GITHUB_ACTION_PATH=/home/alice/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T08:26:44.0317871Z GITHUB_SERVER_URL=https://github.com 2025-09-07T08:26:44.0318249Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T08:26:44.0318595Z REENABLED_ISSUES= 2025-09-07T08:26:44.0318829Z DOCS= 2025-09-07T08:26:44.0319036Z SHLVL=1 2025-09-07T08:26:44.0319247Z MAX_JOBS=10 2025-09-07T08:26:44.0319463Z GITHUB_ACTOR_ID=3659962 2025-09-07T08:26:44.0319818Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:26:44.0320410Z GITHUB_REF_NAME=main 2025-09-07T08:26:44.0320806Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:26:44.0321258Z GITHUB_JOB=test 2025-09-07T08:26:44.0321503Z NO_TEST_TIMEOUT=False 2025-09-07T08:26:44.0321765Z TD_DISTRIBUTED=False 2025-09-07T08:26:44.0322046Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T08:26:44.0322350Z GITHUB_RETENTION_DAYS=90 2025-09-07T08:26:44.0322627Z OPENSSL_DIR=/opt/openssl 2025-09-07T08:26:44.0322914Z GITHUB_ACTION_REPOSITORY= 2025-09-07T08:26:44.0323731Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T08:26:44.0324565Z GITHUB_BASE_REF= 2025-09-07T08:26:44.0324807Z INSTALLED_ACL= 2025-09-07T08:26:44.0325239Z ARTIFACTS_FILE_SUFFIX=test-inductor_huggingface_perf-2-5-linux.aws.a100_49775768411 2025-09-07T08:26:44.0325747Z CI=true 2025-09-07T08:26:44.0325970Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T08:26:44.0326465Z RUST_LOG=sccache::server=error 2025-09-07T08:26:44.0326757Z JOB_ID=49775768411 2025-09-07T08:26:44.0327029Z GITHUB_HEAD_REF= 2025-09-07T08:26:44.0327268Z GITHUB_ACTION_REF= 2025-09-07T08:26:44.0327578Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T08:26:44.0327953Z TEST_SHOWLOCALS=False 2025-09-07T08:26:44.0328256Z GITHUB_WORKFLOW=inductor-A100-perf-nightly 2025-09-07T08:26:44.0339348Z DEBIAN_FRONTEND=noninteractive 2025-09-07T08:26:44.0339968Z GITHUB_OUTPUT=/home/alice/_work/_temp/_runner_file_commands/set_output_59b3a547-b895-498b-98d9-5c76407acf78 2025-09-07T08:26:44.0340563Z NO_TD=False 2025-09-07T08:26:44.0340801Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T08:26:44.0341130Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T08:26:44.0341463Z _=/usr/bin/env 2025-09-07T08:26:44.0341713Z + echo 'Testing pytorch' 2025-09-07T08:26:44.0341974Z Testing pytorch 2025-09-07T08:26:44.0342230Z + export LANG=C.UTF-8 2025-09-07T08:26:44.0342491Z + LANG=C.UTF-8 2025-09-07T08:26:44.0342739Z + PR_NUMBER= 2025-09-07T08:26:44.0343023Z + [[ inductor_huggingface_perf == \d\e\f\a\u\l\t ]] 2025-09-07T08:26:44.0343662Z + [[ inductor_huggingface_perf == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T08:26:44.0344088Z + [[ inductor_huggingface_perf == \s\l\o\w ]] 2025-09-07T08:26:44.0344658Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *slow-gradcheck* ]] 2025-09-07T08:26:44.0345134Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *cuda* ]] 2025-09-07T08:26:44.0345553Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T08:26:44.0345925Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T08:26:44.0346292Z + [[ inductor_huggingface_perf == *crossref* ]] 2025-09-07T08:26:44.0346835Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *rocm* ]] 2025-09-07T08:26:44.0347255Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *xpu* ]] 2025-09-07T08:26:44.0347702Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *-bazel-* ]] 2025-09-07T08:26:44.0348104Z + pip_install ninja==1.10.2 2025-09-07T08:26:44.0348490Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T08:26:44.0348973Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T08:26:44.6716204Z Collecting ninja==1.10.2 2025-09-07T08:26:44.7048533Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T08:26:44.9416426Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T08:26:46.2157899Z Installing collected packages: ninja 2025-09-07T08:26:46.2158287Z Attempting uninstall: ninja 2025-09-07T08:26:46.2167960Z Found existing installation: ninja 1.11.1.3 2025-09-07T08:26:46.2189159Z Uninstalling ninja-1.11.1.3: 2025-09-07T08:26:46.4090798Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T08:26:46.7586733Z Successfully installed ninja-1.10.2 2025-09-07T08:26:46.8491506Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T08:26:46.8493226Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T08:26:46.8494285Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *aarch64* ]] 2025-09-07T08:26:46.8494750Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *asan* ]] 2025-09-07T08:26:46.8495178Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *-debug* ]] 2025-09-07T08:26:46.8495627Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *-bazel-* ]] 2025-09-07T08:26:46.8496251Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm80. Expect the assertion to pass' 2025-09-07T08:26:46.8497022Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm80. Expect the assertion to pass 2025-09-07T08:26:46.8497535Z + cd test 2025-09-07T08:26:46.8497897Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T08:26:47.4619143Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:26:47.4620587Z import pynvml # type: ignore[import] 2025-09-07T08:26:48.7387035Z + [[ inductor_huggingface_perf == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T08:26:48.7387576Z + [[ inductor_huggingface_perf == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T08:26:48.7388089Z + [[ inductor_huggingface_perf == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T08:26:48.7390994Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T08:26:48.7391881Z + [[ inductor_huggingface_perf == *pr_time_benchmarks* ]] 2025-09-07T08:26:48.7392355Z + [[ inductor_huggingface_perf == *dynamo_eager* ]] 2025-09-07T08:26:48.7392745Z + [[ inductor_huggingface_perf == *aot_eager* ]] 2025-09-07T08:26:48.7393137Z + [[ inductor_huggingface_perf == *aot_inductor* ]] 2025-09-07T08:26:48.7393613Z + [[ inductor_huggingface_perf == *max_autotune_inductor* ]] 2025-09-07T08:26:48.7394442Z + [[ inductor_huggingface_perf == *inductor* ]] 2025-09-07T08:26:48.7394810Z + [[ inductor_huggingface_perf != *perf* ]] 2025-09-07T08:26:48.7395184Z + [[ inductor_huggingface_perf == *dynamic* ]] 2025-09-07T08:26:48.7395545Z + [[ inductor_huggingface_perf == *cpu* ]] 2025-09-07T08:26:48.7395908Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-09-07T08:26:48.7414179Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *libtorch* ]] 2025-09-07T08:26:48.7414651Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *-bazel-* ]] 2025-09-07T08:26:48.7417535Z + cd test 2025-09-07T08:26:48.7418234Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T08:26:49.3534707Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:26:49.3536235Z import pynvml # type: ignore[import] 2025-09-07T08:26:50.7090585Z PyTorch built with: 2025-09-07T08:26:50.7090893Z - GCC 9.5 2025-09-07T08:26:50.7091130Z - C++ Version: 201703 2025-09-07T08:26:50.7091709Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T08:26:50.7092472Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T08:26:50.7092936Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T08:26:50.7093287Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T08:26:50.7093635Z - NNPACK is enabled 2025-09-07T08:26:50.7093895Z - CPU capability usage: AVX512 2025-09-07T08:26:50.7094191Z - CUDA Runtime 12.8 2025-09-07T08:26:50.7094550Z - NVCC architecture flags: -gencode;arch=compute_80,code=sm_80 2025-09-07T08:26:50.7094957Z - CuDNN 90.8 2025-09-07T08:26:50.7099829Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=93fb23d6fae7c4e82c4239a1033e522088742634, CUDA_VERSION=12.8, CUDNN_VERSION=9.8.0, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=ON, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-09-07T08:26:50.7105391Z 2025-09-07T08:26:51.2491697Z + cd test 2025-09-07T08:26:51.2492128Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T08:26:51.8466882Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:26:51.8468289Z import pynvml # type: ignore[import] 2025-09-07T08:26:52.7006930Z ATen/Parallel: 2025-09-07T08:26:52.7007279Z at::get_num_threads() : 12 2025-09-07T08:26:52.7007590Z at::get_num_interop_threads() : 48 2025-09-07T08:26:52.7007923Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T08:26:52.7008232Z omp_get_max_threads() : 12 2025-09-07T08:26:52.7008861Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T08:26:52.7009838Z mkl_get_max_threads() : 12 2025-09-07T08:26:52.7010257Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T08:26:52.7010730Z std::thread::hardware_concurrency() : 96 2025-09-07T08:26:52.7011066Z Environment variables: 2025-09-07T08:26:52.7011323Z OMP_NUM_THREADS : [not set] 2025-09-07T08:26:52.7011615Z MKL_NUM_THREADS : [not set] 2025-09-07T08:26:52.7011910Z ATen parallel backend: OpenMP 2025-09-07T08:26:52.7012103Z 2025-09-07T08:26:53.0490298Z + [[ inductor_huggingface_perf == *numpy_2* ]] 2025-09-07T08:26:53.0490789Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *aarch64* ]] 2025-09-07T08:26:53.0491216Z + [[ inductor_huggingface_perf == *backward* ]] 2025-09-07T08:26:53.0491573Z + [[ inductor_huggingface_perf == *xla* ]] 2025-09-07T08:26:53.0491929Z + [[ inductor_huggingface_perf == *vllm* ]] 2025-09-07T08:26:53.0492331Z + [[ inductor_huggingface_perf == *executorch* ]] 2025-09-07T08:26:53.0492741Z + [[ inductor_huggingface_perf == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T08:26:53.0493188Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *libtorch* ]] 2025-09-07T08:26:53.0493619Z + [[ inductor_huggingface_perf == distributed ]] 2025-09-07T08:26:53.0494036Z + [[ inductor_huggingface_perf == *operator_benchmark* ]] 2025-09-07T08:26:53.0494486Z + [[ inductor_huggingface_perf == *inductor_distributed* ]] 2025-09-07T08:26:53.0494929Z + [[ inductor_huggingface_perf == *inductor-halide* ]] 2025-09-07T08:26:53.0495382Z + [[ inductor_huggingface_perf == *inductor-triton-cpu* ]] 2025-09-07T08:26:53.0495862Z + [[ inductor_huggingface_perf == *inductor-micro-benchmark* ]] 2025-09-07T08:26:53.0496304Z + [[ inductor_huggingface_perf == *huggingface* ]] 2025-09-07T08:26:53.0496659Z + install_torchvision 2025-09-07T08:26:53.0496919Z + local orig_preload 2025-09-07T08:26:53.0497167Z + local commit 2025-09-07T08:26:53.0497395Z ++ get_pinned_commit vision 2025-09-07T08:26:53.0497702Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T08:26:53.0507674Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T08:26:53.0508052Z + orig_preload= 2025-09-07T08:26:53.0508277Z + '[' -n '' ']' 2025-09-07T08:26:53.0508574Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *cuda* ]] 2025-09-07T08:26:53.0508943Z + export FORCE_CUDA=1 2025-09-07T08:26:53.0509202Z + FORCE_CUDA=1 2025-09-07T08:26:53.0509420Z + export WITH_CUDA=1 2025-09-07T08:26:53.0509663Z + WITH_CUDA=1 2025-09-07T08:26:53.0510253Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T08:26:53.0511179Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T08:26:53.0511775Z + local wheel_dir=dist/vision 2025-09-07T08:26:53.0512044Z + local found_whl=0 2025-09-07T08:26:53.0512300Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:26:53.0512770Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T08:26:53.0513589Z + found_whl=1 2025-09-07T08:26:53.0513793Z + break 2025-09-07T08:26:53.0514009Z + '[' 1 == 0 ']' 2025-09-07T08:26:53.0514257Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:26:53.0514763Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:26:53.0515448Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl') 2025-09-07T08:26:53.0515923Z + local args 2025-09-07T08:26:53.0516331Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T08:26:53.0516839Z + for path in "${args[@]}" 2025-09-07T08:26:53.0517317Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl' 2025-09-07T08:26:53.0518041Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:26:53.0518862Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:26:53.4245667Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:26:53.4366560Z Installing collected packages: torchvision 2025-09-07T08:26:53.8921612Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T08:26:53.9366384Z + '[' -n '' ']' 2025-09-07T08:26:53.9366631Z + id=1 2025-09-07T08:26:53.9366875Z + test_dynamo_benchmark huggingface 1 2025-09-07T08:26:53.9369479Z ++ pwd 2025-09-07T08:26:53.9371424Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:26:53.9372159Z + local suite=huggingface 2025-09-07T08:26:53.9372629Z + shift 2025-09-07T08:26:53.9373016Z + local shard_id=1 2025-09-07T08:26:53.9373288Z + shift 2025-09-07T08:26:53.9373556Z + [[ inductor_huggingface_perf == *perf_compare* ]] 2025-09-07T08:26:53.9373932Z + [[ inductor_huggingface_perf == *perf* ]] 2025-09-07T08:26:53.9374547Z + [[ inductor_huggingface_perf == *b200* ]] 2025-09-07T08:26:53.9375073Z + test_single_dynamo_benchmark dashboard huggingface 1 2025-09-07T08:26:53.9375488Z ++ pwd 2025-09-07T08:26:53.9377321Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:26:53.9377824Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:26:53.9393151Z + local name=dashboard 2025-09-07T08:26:53.9393412Z + shift 2025-09-07T08:26:53.9393639Z + local suite=huggingface 2025-09-07T08:26:53.9393905Z + shift 2025-09-07T08:26:53.9394119Z + local shard_id=1 2025-09-07T08:26:53.9394340Z + shift 2025-09-07T08:26:53.9394558Z + partition_flags=() 2025-09-07T08:26:53.9394825Z + local partition_flags 2025-09-07T08:26:53.9395089Z + [[ -n 5 ]] 2025-09-07T08:26:53.9395301Z + [[ -n 1 ]] 2025-09-07T08:26:53.9395721Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T08:26:53.9396286Z + [[ inductor_huggingface_perf == *perf_compare* ]] 2025-09-07T08:26:53.9396680Z + [[ inductor_huggingface_perf == *perf* ]] 2025-09-07T08:26:53.9397211Z + test_perf_for_dashboard huggingface --device cuda --total-partitions 5 --partition-id 1 2025-09-07T08:26:53.9397740Z ++ pwd 2025-09-07T08:26:53.9398982Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:26:53.9399466Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:26:53.9410915Z + local suite=huggingface 2025-09-07T08:26:53.9411200Z + shift 2025-09-07T08:26:53.9411430Z + local backend=inductor 2025-09-07T08:26:53.9411689Z + modes=() 2025-09-07T08:26:53.9411885Z + local modes 2025-09-07T08:26:53.9413205Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *training-true* ]] 2025-09-07T08:26:53.9414607Z + modes+=(training) 2025-09-07T08:26:53.9415937Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *inference-true* ]] 2025-09-07T08:26:53.9417613Z + modes+=(inference) 2025-09-07T08:26:53.9417905Z + targets=('accuracy' 'performance') 2025-09-07T08:26:53.9418199Z + local targets 2025-09-07T08:26:53.9418430Z + local device=cuda 2025-09-07T08:26:53.9418697Z + [[ inductor_huggingface_perf == *cpu* ]] 2025-09-07T08:26:53.9419058Z + [[ inductor_huggingface_perf == *cuda_a10g* ]] 2025-09-07T08:26:53.9419409Z + [[ inductor_huggingface_perf == *h100* ]] 2025-09-07T08:26:53.9419759Z + [[ inductor_huggingface_perf == *b200* ]] 2025-09-07T08:26:53.9420105Z + [[ inductor_huggingface_perf == *rocm* ]] 2025-09-07T08:26:53.9420438Z + for mode in "${modes[@]}" 2025-09-07T08:26:53.9420717Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T08:26:53.9421034Z + [[ training == \t\r\a\i\n\i\n\g ]] 2025-09-07T08:26:53.9421326Z + dtype=amp 2025-09-07T08:26:53.9421555Z + for target in "${targets[@]}" 2025-09-07T08:26:53.9421834Z + target_flag=('--accuracy') 2025-09-07T08:26:53.9422115Z + local target_flag 2025-09-07T08:26:53.9422374Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T08:26:53.9422697Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T08:26:53.9423171Z + target_flag+=(--no-translation-validation) 2025-09-07T08:26:53.9424702Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freezing-true* ]] 2025-09-07T08:26:53.9427429Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *default-true* ]] 2025-09-07T08:26:53.9430478Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_accuracy.csv 2025-09-07T08:26:55.0136002Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:26:55.0137441Z import pynvml # type: ignore[import] 2025-09-07T08:26:58.7034715Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:26:58.7038522Z from pkg_resources import resource_filename 2025-09-07T08:26:59.2006488Z 2025-09-07T08:26:59.2007284Z config.json: 0% 0.00/694 [00:00 will be ignored 2025-09-07T08:29:00.5853594Z pass 2025-09-07T08:29:06.2364928Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:29:06.2366373Z import pynvml # type: ignore[import] 2025-09-07T08:29:09.6632484Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:29:09.6634637Z from pkg_resources import resource_filename 2025-09-07T08:29:10.7604233Z 2025-09-07T08:29:24.6890841Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:29:24.6891235Z loading model: 0it [00:13, ?it/s] 2025-09-07T08:29:24.6891579Z cuda train DebertaV2ForMaskedLM 2025-09-07T08:29:24.7119539Z pass_due_to_skip 2025-09-07T08:29:27.3137047Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:29:27.3139624Z import pynvml # type: ignore[import] 2025-09-07T08:29:30.6875298Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:29:30.6878313Z from pkg_resources import resource_filename 2025-09-07T08:29:31.8134075Z 2025-09-07T08:29:44.0295805Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:29:44.0296398Z loading model: 0it [00:12, ?it/s] 2025-09-07T08:29:44.0296988Z cuda train DebertaV2ForQuestionAnswering 2025-09-07T08:30:45.7749832Z pass 2025-09-07T08:30:51.2258094Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:30:51.2259533Z import pynvml # type: ignore[import] 2025-09-07T08:30:54.6166513Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:30:54.6168216Z from pkg_resources import resource_filename 2025-09-07T08:30:55.7554137Z 2025-09-07T08:30:57.4412186Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:30:57.4412565Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:30:57.4412913Z cuda train DistilBertForMaskedLM 2025-09-07T08:31:14.5960615Z W0907 08:31:14.595000 2743 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:31:32.3470809Z pass 2025-09-07T08:31:36.9630850Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:31:36.9633442Z import pynvml # type: ignore[import] 2025-09-07T08:31:40.4556015Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:31:40.4558271Z from pkg_resources import resource_filename 2025-09-07T08:31:41.5867112Z 2025-09-07T08:31:43.0323678Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:31:43.0324298Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:31:43.0324937Z cuda train DistilBertForQuestionAnswering 2025-09-07T08:31:59.9439780Z W0907 08:31:59.943000 3375 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:32:16.0395698Z pass 2025-09-07T08:32:20.7466186Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:32:20.7470815Z import pynvml # type: ignore[import] 2025-09-07T08:32:24.2170695Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:32:24.2172282Z from pkg_resources import resource_filename 2025-09-07T08:32:25.3332149Z 2025-09-07T08:32:28.6269269Z loading model: 0it [00:00, ?it/s]`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-09-07T08:32:28.6270379Z WARNING:transformers.modeling_utils:`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-09-07T08:32:28.6973036Z 2025-09-07T08:32:28.6973210Z loading model: 0it [00:03, ?it/s] 2025-09-07T08:32:28.6974008Z cuda train DistillGPT2 2025-09-07T08:32:45.9467548Z W0907 08:32:45.945000 3828 site-packages/torch/_logging/_internal.py:1199] [10/0] Profiler function will be ignored 2025-09-07T08:32:59.7009351Z pass 2025-09-07T08:33:04.1276777Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:33:04.1278228Z import pynvml # type: ignore[import] 2025-09-07T08:33:07.4838138Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:33:07.4839765Z from pkg_resources import resource_filename 2025-09-07T08:33:08.5631834Z 2025-09-07T08:33:08.5648236Z loading model: 0it [00:00, ?it/s]If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T08:33:08.5649251Z WARNING:transformers.models.electra.modeling_electra:If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T08:33:09.7409853Z 2025-09-07T08:33:09.7410124Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:33:09.7410513Z cuda train ElectraForCausalLM 2025-09-07T08:33:42.3363526Z pass 2025-09-07T08:33:45.7229450Z accuracy pass_rate=88.89% 2025-09-07T08:33:45.7234555Z calls_captured gmean=0.00x mean=560.444x 2025-09-07T08:33:45.7239201Z unique_graphs gmean=0.00x mean=3.000x 2025-09-07T08:33:45.7243244Z graph_breaks gmean=0.00x mean=4.889x 2025-09-07T08:33:45.7247450Z unique_graph_breaks gmean=0.00x mean=3.889x 2025-09-07T08:33:45.7251506Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:33:45.7255565Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:33:45.7259602Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T08:33:45.7260902Z compilation_latency mean=30.253 seconds 2025-09-07T08:33:46.9564050Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *cudagraphs-true* ]] 2025-09-07T08:33:46.9566700Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 5 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_accuracy.csv 2025-09-07T08:33:48.1363141Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:33:48.1364953Z import pynvml # type: ignore[import] 2025-09-07T08:33:51.6233588Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:33:51.6235193Z from pkg_resources import resource_filename 2025-09-07T08:33:54.1767268Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:33:54.1768808Z import pynvml # type: ignore[import] 2025-09-07T08:33:57.5383910Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:33:57.5385636Z from pkg_resources import resource_filename 2025-09-07T08:33:58.6493475Z 2025-09-07T08:34:00.3656420Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:34:00.3656813Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:34:00.3657174Z cuda train BlenderbotSmallForCausalLM 2025-09-07T08:34:09.2900729Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/blenderbot_small/modeling_blenderbot_small.py", line 95, in forward 2025-09-07T08:34:09.2902109Z return super().forward(position_ids) 2025-09-07T08:34:09.2902345Z 2025-09-07T08:34:09.2902364Z 2025-09-07T08:34:09.8535902Z pass 2025-09-07T08:34:13.4163455Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:34:13.4164886Z import pynvml # type: ignore[import] 2025-09-07T08:34:16.8777684Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:34:16.8779263Z from pkg_resources import resource_filename 2025-09-07T08:34:17.9740794Z 2025-09-07T08:34:20.2967709Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:34:20.2968074Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:34:20.2968479Z cuda train BlenderbotSmallForConditionalGeneration 2025-09-07T08:34:27.7451103Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/blenderbot_small/modeling_blenderbot_small.py", line 95, in forward 2025-09-07T08:34:27.7453734Z return super().forward(position_ids) 2025-09-07T08:34:27.7454168Z 2025-09-07T08:34:27.7454177Z 2025-09-07T08:34:32.7891315Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/blenderbot_small/modeling_blenderbot_small.py", line 95, in forward 2025-09-07T08:34:32.7892661Z return super().forward(position_ids) 2025-09-07T08:34:32.7893279Z 2025-09-07T08:34:32.7893284Z 2025-09-07T08:34:34.2514630Z pass 2025-09-07T08:34:38.6642315Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:34:38.6643752Z import pynvml # type: ignore[import] 2025-09-07T08:34:42.1090350Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:34:42.1091938Z from pkg_resources import resource_filename 2025-09-07T08:34:43.2362449Z 2025-09-07T08:34:45.7439865Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:34:45.7440543Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:34:45.7441141Z cuda train CamemBert 2025-09-07T08:35:13.9662384Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:35:13.9663678Z pred = mod(**cloned_inputs) 2025-09-07T08:35:13.9664530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 1038, in forward 2025-09-07T08:35:13.9665286Z outputs = self.roberta( 2025-09-07T08:35:13.9666013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 886, in forward 2025-09-07T08:35:13.9667074Z embedding_output = self.embeddings( 2025-09-07T08:35:13.9667842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 118, in forward 2025-09-07T08:35:13.9668703Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T08:35:13.9669036Z 2025-09-07T08:35:13.9669046Z 2025-09-07T08:35:14.2312646Z W0907 08:35:14.230000 5453 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:35:47.5190534Z Run failed with return code: -11 2025-09-07T08:35:47.5190926Z Output: None 2025-09-07T08:35:47.5191159Z Error: None 2025-09-07T08:35:48.6129367Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:35:48.6130915Z import pynvml # type: ignore[import] 2025-09-07T08:35:52.0680479Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:35:52.0682099Z from pkg_resources import resource_filename 2025-09-07T08:35:53.2468496Z 2025-09-07T08:36:07.0606655Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:36:07.0607283Z loading model: 0it [00:13, ?it/s] 2025-09-07T08:36:07.0607870Z cuda train DebertaV2ForMaskedLM 2025-09-07T08:36:07.0835904Z pass_due_to_skip 2025-09-07T08:36:09.6622225Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:36:09.6623672Z import pynvml # type: ignore[import] 2025-09-07T08:36:13.1256836Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:36:13.1258424Z from pkg_resources import resource_filename 2025-09-07T08:36:14.2254065Z 2025-09-07T08:36:25.8463587Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:36:25.8463966Z loading model: 0it [00:11, ?it/s] 2025-09-07T08:36:25.8464323Z cuda train DebertaV2ForQuestionAnswering 2025-09-07T08:37:25.8583985Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:37:25.8585357Z pred = mod(**cloned_inputs) 2025-09-07T08:37:25.8586107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 1231, in forward 2025-09-07T08:37:25.8587117Z outputs = self.deberta( 2025-09-07T08:37:25.8588202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 778, in forward 2025-09-07T08:37:25.8588988Z embedding_output = self.embeddings( 2025-09-07T08:37:25.8589746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 544, in forward 2025-09-07T08:37:25.8590629Z position_embeddings = self.position_embeddings(position_ids.long()) 2025-09-07T08:37:25.8590978Z 2025-09-07T08:37:25.8590983Z 2025-09-07T08:37:26.7341035Z pass 2025-09-07T08:37:32.1004367Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:37:32.1007137Z import pynvml # type: ignore[import] 2025-09-07T08:37:35.4973009Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:37:35.4976023Z from pkg_resources import resource_filename 2025-09-07T08:37:36.6035478Z 2025-09-07T08:37:38.3725141Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:37:38.3725523Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:37:38.3725862Z cuda train DistilBertForMaskedLM 2025-09-07T08:37:54.9088782Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:37:54.9090080Z pred = mod(**cloned_inputs) 2025-09-07T08:37:54.9090864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward 2025-09-07T08:37:54.9091644Z dlbrt_output = self.distilbert( 2025-09-07T08:37:54.9092401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 723, in forward 2025-09-07T08:37:54.9093328Z embeddings = self.embeddings(input_ids, inputs_embeds) # (bs, seq_length, dim) 2025-09-07T08:37:54.9094254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 124, in forward 2025-09-07T08:37:54.9095223Z position_embeddings = self.position_embeddings(position_ids) # (bs, max_seq_length, dim) 2025-09-07T08:37:54.9095670Z 2025-09-07T08:37:54.9095675Z 2025-09-07T08:37:55.1261830Z W0907 08:37:55.125000 5768 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:38:11.8667709Z Run failed with return code: -11 2025-09-07T08:38:11.8668101Z Output: None 2025-09-07T08:38:11.8668330Z Error: None 2025-09-07T08:38:12.9589580Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:38:12.9591006Z import pynvml # type: ignore[import] 2025-09-07T08:38:16.3671093Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:38:16.3672700Z from pkg_resources import resource_filename 2025-09-07T08:38:17.4847940Z 2025-09-07T08:38:18.9193729Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:38:18.9194574Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:38:18.9194922Z cuda train DistilBertForQuestionAnswering 2025-09-07T08:38:34.9422294Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:38:34.9423666Z pred = mod(**cloned_inputs) 2025-09-07T08:38:34.9424430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 1031, in forward 2025-09-07T08:38:34.9425295Z distilbert_output = self.distilbert( 2025-09-07T08:38:34.9426071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 723, in forward 2025-09-07T08:38:34.9427234Z embeddings = self.embeddings(input_ids, inputs_embeds) # (bs, seq_length, dim) 2025-09-07T08:38:34.9428178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 124, in forward 2025-09-07T08:38:34.9429152Z position_embeddings = self.position_embeddings(position_ids) # (bs, max_seq_length, dim) 2025-09-07T08:38:34.9429580Z 2025-09-07T08:38:34.9429585Z 2025-09-07T08:38:35.1605474Z W0907 08:38:35.159000 5903 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:38:51.0812573Z Run failed with return code: -11 2025-09-07T08:38:51.0812952Z Output: None 2025-09-07T08:38:51.0813183Z Error: None 2025-09-07T08:38:52.2188170Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:38:52.2189648Z import pynvml # type: ignore[import] 2025-09-07T08:38:55.6576825Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:38:55.6578493Z from pkg_resources import resource_filename 2025-09-07T08:38:56.8617048Z 2025-09-07T08:39:00.1451521Z loading model: 0it [00:00, ?it/s]`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-09-07T08:39:00.1452626Z WARNING:transformers.modeling_utils:`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-09-07T08:39:00.2175655Z 2025-09-07T08:39:00.2176380Z loading model: 0it [00:03, ?it/s] 2025-09-07T08:39:00.2176732Z cuda train DistillGPT2 2025-09-07T08:39:18.3084739Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward 2025-09-07T08:39:18.3085980Z transformer_outputs = self.transformer( 2025-09-07T08:39:18.3086709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 860, in forward 2025-09-07T08:39:18.3087449Z position_embeds = self.wpe(position_ids) 2025-09-07T08:39:18.3087685Z 2025-09-07T08:39:18.3087702Z 2025-09-07T08:39:18.5262486Z W0907 08:39:18.525000 6038 site-packages/torch/_logging/_internal.py:1199] [10/0] Profiler function will be ignored 2025-09-07T08:39:31.8722821Z pass 2025-09-07T08:39:36.2558612Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:39:36.2560073Z import pynvml # type: ignore[import] 2025-09-07T08:39:39.6094219Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:39:39.6095818Z from pkg_resources import resource_filename 2025-09-07T08:39:40.7348710Z 2025-09-07T08:39:40.7365141Z loading model: 0it [00:00, ?it/s]If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T08:39:40.7366137Z WARNING:transformers.models.electra.modeling_electra:If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T08:39:41.7936471Z 2025-09-07T08:39:41.7936836Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:39:41.7937254Z cuda train ElectraForCausalLM 2025-09-07T08:40:13.3526057Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:40:13.3527326Z pred = mod(**cloned_inputs) 2025-09-07T08:40:13.3528057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 1543, in forward 2025-09-07T08:40:13.3528802Z outputs = self.electra( 2025-09-07T08:40:13.3529501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 788, in forward 2025-09-07T08:40:13.3530241Z hidden_states = self.embeddings( 2025-09-07T08:40:13.3530980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 192, in forward 2025-09-07T08:40:13.3531819Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T08:40:13.3532153Z 2025-09-07T08:40:13.3532158Z 2025-09-07T08:40:13.8561153Z pass 2025-09-07T08:40:17.0860016Z accuracy pass_rate=83.33% 2025-09-07T08:40:17.0866188Z calls_captured gmean=0.00x mean=387.500x 2025-09-07T08:40:17.0870886Z unique_graphs gmean=0.00x mean=3.500x 2025-09-07T08:40:17.0874992Z graph_breaks gmean=0.00x mean=4.833x 2025-09-07T08:40:17.0879159Z unique_graph_breaks gmean=0.00x mean=3.833x 2025-09-07T08:40:17.0883307Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:40:17.0887441Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:40:17.0891624Z cudagraph_skips gmean=0.00x mean=1.000x 2025-09-07T08:40:17.0892879Z compilation_latency mean=23.257 seconds 2025-09-07T08:40:18.2084275Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *dynamic-true* ]] 2025-09-07T08:40:18.2087546Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --dynamic-shapes --dynamic-batch-only --device cuda --total-partitions 5 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_accuracy.csv 2025-09-07T08:40:19.2367911Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:40:19.2369329Z import pynvml # type: ignore[import] 2025-09-07T08:40:22.6676558Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:40:22.6678184Z from pkg_resources import resource_filename 2025-09-07T08:40:25.2198807Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:40:25.2200242Z import pynvml # type: ignore[import] 2025-09-07T08:40:28.5849659Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:40:28.5851264Z from pkg_resources import resource_filename 2025-09-07T08:40:29.7663308Z 2025-09-07T08:40:31.4000845Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:40:31.4001207Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:40:31.4001561Z cuda train BlenderbotSmallForCausalLM 2025-09-07T08:40:36.1996308Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/blenderbot_small/modeling_blenderbot_small.py", line 95, in forward 2025-09-07T08:40:36.1997605Z return super().forward(position_ids) 2025-09-07T08:40:36.1997848Z 2025-09-07T08:40:36.1997852Z 2025-09-07T08:40:37.4896623Z pass 2025-09-07T08:40:41.0926260Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:40:41.0927739Z import pynvml # type: ignore[import] 2025-09-07T08:40:44.4601344Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:40:44.4602929Z from pkg_resources import resource_filename 2025-09-07T08:40:45.5342521Z 2025-09-07T08:40:47.7391634Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:40:47.7392023Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:40:47.7392403Z cuda train BlenderbotSmallForConditionalGeneration 2025-09-07T08:40:52.7794889Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/blenderbot_small/modeling_blenderbot_small.py", line 95, in forward 2025-09-07T08:40:52.7796596Z return super().forward(position_ids) 2025-09-07T08:40:52.7796829Z 2025-09-07T08:40:52.7796833Z 2025-09-07T08:40:53.5206918Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/blenderbot_small/modeling_blenderbot_small.py", line 95, in forward 2025-09-07T08:40:53.5208242Z return super().forward(position_ids) 2025-09-07T08:40:53.5208475Z 2025-09-07T08:40:53.5208480Z 2025-09-07T08:40:55.9010310Z pass 2025-09-07T08:40:59.4743921Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:40:59.4745480Z import pynvml # type: ignore[import] 2025-09-07T08:41:02.8367412Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:41:02.8369031Z from pkg_resources import resource_filename 2025-09-07T08:41:03.9233811Z 2025-09-07T08:41:06.4007333Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:41:06.4007710Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:41:06.4008033Z cuda train CamemBert 2025-09-07T08:41:14.6956661Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:41:14.6957976Z pred = mod(**cloned_inputs) 2025-09-07T08:41:14.6958740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 1038, in forward 2025-09-07T08:41:14.6959486Z outputs = self.roberta( 2025-09-07T08:41:14.6960202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 886, in forward 2025-09-07T08:41:14.6960979Z embedding_output = self.embeddings( 2025-09-07T08:41:14.6961740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 118, in forward 2025-09-07T08:41:14.6962594Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T08:41:14.6962913Z 2025-09-07T08:41:14.6962918Z 2025-09-07T08:41:15.4570077Z W0907 08:41:15.456000 6517 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:41:22.6768705Z Run failed with return code: -11 2025-09-07T08:41:22.6769078Z Output: None 2025-09-07T08:41:22.6769312Z Error: None 2025-09-07T08:41:23.8283512Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:41:23.8284940Z import pynvml # type: ignore[import] 2025-09-07T08:41:27.1966542Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:41:27.1968148Z from pkg_resources import resource_filename 2025-09-07T08:41:28.3350012Z 2025-09-07T08:41:42.0187990Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:41:42.0188909Z loading model: 0it [00:13, ?it/s] 2025-09-07T08:41:42.0189254Z cuda train DebertaV2ForMaskedLM 2025-09-07T08:41:42.0419314Z pass_due_to_skip 2025-09-07T08:41:44.4653467Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:41:44.4654881Z import pynvml # type: ignore[import] 2025-09-07T08:41:47.8375236Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:41:47.8376828Z from pkg_resources import resource_filename 2025-09-07T08:41:48.9353003Z 2025-09-07T08:42:00.5636706Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:42:00.5637079Z loading model: 0it [00:11, ?it/s] 2025-09-07T08:42:00.5637854Z cuda train DebertaV2ForQuestionAnswering 2025-09-07T08:42:12.1314259Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:42:12.1315544Z pred = mod(**cloned_inputs) 2025-09-07T08:42:12.1316296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 1231, in forward 2025-09-07T08:42:12.1317072Z outputs = self.deberta( 2025-09-07T08:42:12.1317791Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 778, in forward 2025-09-07T08:42:12.1318547Z embedding_output = self.embeddings( 2025-09-07T08:42:12.1319342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 544, in forward 2025-09-07T08:42:12.1320241Z position_embeddings = self.position_embeddings(position_ids.long()) 2025-09-07T08:42:12.1320593Z 2025-09-07T08:42:12.1320612Z 2025-09-07T08:42:13.9170372Z pass 2025-09-07T08:42:17.4634765Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:42:17.4636193Z import pynvml # type: ignore[import] 2025-09-07T08:42:20.8392026Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:42:20.8393645Z from pkg_resources import resource_filename 2025-09-07T08:42:21.9863255Z 2025-09-07T08:42:23.6742484Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:42:23.6742872Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:42:23.6743216Z cuda train DistilBertForMaskedLM 2025-09-07T08:42:29.7587087Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:42:29.7588370Z pred = mod(**cloned_inputs) 2025-09-07T08:42:29.7589130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward 2025-09-07T08:42:29.7589908Z dlbrt_output = self.distilbert( 2025-09-07T08:42:29.7590673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 723, in forward 2025-09-07T08:42:29.7591997Z embeddings = self.embeddings(input_ids, inputs_embeds) # (bs, seq_length, dim) 2025-09-07T08:42:29.7592938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 124, in forward 2025-09-07T08:42:29.7593921Z position_embeddings = self.position_embeddings(position_ids) # (bs, max_seq_length, dim) 2025-09-07T08:42:29.7594353Z 2025-09-07T08:42:29.7594358Z 2025-09-07T08:42:30.2140180Z W0907 08:42:30.213000 6732 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:42:34.5123530Z Run failed with return code: -11 2025-09-07T08:42:34.5123899Z Output: None 2025-09-07T08:42:34.5124132Z Error: None 2025-09-07T08:42:35.6037245Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:42:35.6038688Z import pynvml # type: ignore[import] 2025-09-07T08:42:39.0009589Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:42:39.0011172Z from pkg_resources import resource_filename 2025-09-07T08:42:40.2394534Z 2025-09-07T08:42:41.6771109Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:42:41.6771504Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:42:41.6771847Z cuda train DistilBertForQuestionAnswering 2025-09-07T08:42:47.6720707Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:42:47.6722041Z pred = mod(**cloned_inputs) 2025-09-07T08:42:47.6722803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 1031, in forward 2025-09-07T08:42:47.6723598Z distilbert_output = self.distilbert( 2025-09-07T08:42:47.6724380Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 723, in forward 2025-09-07T08:42:47.6725291Z embeddings = self.embeddings(input_ids, inputs_embeds) # (bs, seq_length, dim) 2025-09-07T08:42:47.6726224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 124, in forward 2025-09-07T08:42:47.6727194Z position_embeddings = self.position_embeddings(position_ids) # (bs, max_seq_length, dim) 2025-09-07T08:42:47.6727628Z 2025-09-07T08:42:47.6727633Z 2025-09-07T08:42:48.1247300Z W0907 08:42:48.123000 6817 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:42:52.2994172Z Run failed with return code: -11 2025-09-07T08:42:52.2994555Z Output: None 2025-09-07T08:42:52.2994791Z Error: None 2025-09-07T08:42:53.4456785Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:42:53.4458213Z import pynvml # type: ignore[import] 2025-09-07T08:42:56.8047089Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:42:56.8049018Z from pkg_resources import resource_filename 2025-09-07T08:42:57.9593502Z 2025-09-07T08:43:01.2469143Z loading model: 0it [00:00, ?it/s]`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-09-07T08:43:01.2470234Z WARNING:transformers.modeling_utils:`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-09-07T08:43:01.3194655Z 2025-09-07T08:43:01.3195086Z loading model: 0it [00:03, ?it/s] 2025-09-07T08:43:01.3195467Z cuda train DistillGPT2 2025-09-07T08:43:07.9408837Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward 2025-09-07T08:43:07.9410075Z transformer_outputs = self.transformer( 2025-09-07T08:43:07.9411215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 860, in forward 2025-09-07T08:43:07.9411956Z position_embeds = self.wpe(position_ids) 2025-09-07T08:43:07.9412194Z 2025-09-07T08:43:07.9412199Z 2025-09-07T08:43:08.5831755Z W0907 08:43:08.582000 6902 site-packages/torch/_logging/_internal.py:1199] [10/0] Profiler function will be ignored 2025-09-07T08:43:11.5062836Z pass 2025-09-07T08:43:15.1821900Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:43:15.1823347Z import pynvml # type: ignore[import] 2025-09-07T08:43:18.5557097Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:43:18.5558700Z from pkg_resources import resource_filename 2025-09-07T08:43:19.6820743Z 2025-09-07T08:43:19.6837558Z loading model: 0it [00:00, ?it/s]If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T08:43:19.6838566Z WARNING:transformers.models.electra.modeling_electra:If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T08:43:20.7300375Z 2025-09-07T08:43:20.7300703Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:43:20.7301099Z cuda train ElectraForCausalLM 2025-09-07T08:43:29.0669363Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:43:29.0670689Z pred = mod(**cloned_inputs) 2025-09-07T08:43:29.0671437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 1543, in forward 2025-09-07T08:43:29.0672191Z outputs = self.electra( 2025-09-07T08:43:29.0672895Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 788, in forward 2025-09-07T08:43:29.0673631Z hidden_states = self.embeddings( 2025-09-07T08:43:29.0674363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 192, in forward 2025-09-07T08:43:29.0675198Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T08:43:29.0675516Z 2025-09-07T08:43:29.0675521Z 2025-09-07T08:43:30.0577357Z pass 2025-09-07T08:43:32.6354660Z accuracy pass_rate=83.33% 2025-09-07T08:43:32.6361792Z calls_captured gmean=0.00x mean=387.500x 2025-09-07T08:43:32.6366074Z unique_graphs gmean=0.00x mean=3.500x 2025-09-07T08:43:32.6370315Z graph_breaks gmean=0.00x mean=4.833x 2025-09-07T08:43:32.6374452Z unique_graph_breaks gmean=0.00x mean=3.833x 2025-09-07T08:43:32.6378510Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:43:32.6382639Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:43:32.6387203Z cudagraph_skips gmean=0.00x mean=1.000x 2025-09-07T08:43:32.6388526Z compilation_latency mean=6.466 seconds 2025-09-07T08:43:33.8372974Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *cppwrapper-true* ]] 2025-09-07T08:43:33.8374478Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T08:43:33.8376422Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_accuracy.csv 2025-09-07T08:43:34.8775565Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:43:34.8777004Z import pynvml # type: ignore[import] 2025-09-07T08:43:38.3710147Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:43:38.3711733Z from pkg_resources import resource_filename 2025-09-07T08:43:40.8460408Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:43:40.8461829Z import pynvml # type: ignore[import] 2025-09-07T08:43:44.2475196Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:43:44.2476783Z from pkg_resources import resource_filename 2025-09-07T08:43:45.6941177Z 2025-09-07T08:43:47.3114470Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:43:47.3114861Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:43:47.3115208Z cuda train BlenderbotSmallForCausalLM 2025-09-07T08:44:17.0763642Z pass 2025-09-07T08:44:20.6060616Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:44:20.6062057Z import pynvml # type: ignore[import] 2025-09-07T08:44:23.9920781Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:44:23.9922356Z from pkg_resources import resource_filename 2025-09-07T08:44:25.1507980Z 2025-09-07T08:44:27.3357935Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:44:27.3358303Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:44:27.3361452Z cuda train BlenderbotSmallForConditionalGeneration 2025-09-07T08:44:54.8135794Z pass 2025-09-07T08:44:58.5361163Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:44:58.5362593Z import pynvml # type: ignore[import] 2025-09-07T08:45:01.8985903Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:45:01.8987682Z from pkg_resources import resource_filename 2025-09-07T08:45:03.0199627Z 2025-09-07T08:45:05.4881005Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:45:05.4881427Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:45:05.4881758Z cuda train CamemBert 2025-09-07T08:46:06.4218481Z W0907 08:46:06.420000 8221 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:46:57.6503192Z pass 2025-09-07T08:47:03.6570499Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:47:03.6571918Z import pynvml # type: ignore[import] 2025-09-07T08:47:07.0371508Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:47:07.0373099Z from pkg_resources import resource_filename 2025-09-07T08:47:08.2065064Z 2025-09-07T08:47:21.8643394Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:47:21.8643786Z loading model: 0it [00:13, ?it/s] 2025-09-07T08:47:21.8644127Z cuda train DebertaV2ForMaskedLM 2025-09-07T08:47:21.8878259Z pass_due_to_skip 2025-09-07T08:47:24.3015882Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:47:24.3017316Z import pynvml # type: ignore[import] 2025-09-07T08:47:27.6727273Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:47:27.6728907Z from pkg_resources import resource_filename 2025-09-07T08:47:28.7565671Z 2025-09-07T08:47:40.2911056Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:47:40.2911430Z loading model: 0it [00:11, ?it/s] 2025-09-07T08:47:40.2911768Z cuda train DebertaV2ForQuestionAnswering 2025-09-07T08:50:02.1072385Z pass 2025-09-07T08:50:08.1457552Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:50:08.1458960Z import pynvml # type: ignore[import] 2025-09-07T08:50:11.5735641Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:50:11.5737704Z from pkg_resources import resource_filename 2025-09-07T08:50:12.7693856Z 2025-09-07T08:50:14.4321091Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:50:14.4321469Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:50:14.4321795Z cuda train DistilBertForMaskedLM 2025-09-07T08:50:45.4543204Z W0907 08:50:45.453000 9439 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:51:09.0872694Z pass 2025-09-07T08:51:13.8417585Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:51:13.8419049Z import pynvml # type: ignore[import] 2025-09-07T08:51:17.1944806Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:51:17.1946426Z from pkg_resources import resource_filename 2025-09-07T08:51:18.3791361Z 2025-09-07T08:51:19.8143563Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:51:19.8143951Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:51:19.8144296Z cuda train DistilBertForQuestionAnswering 2025-09-07T08:51:50.0298627Z W0907 08:51:50.029000 9787 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:52:13.0714826Z pass 2025-09-07T08:52:17.8091351Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:52:17.8092805Z import pynvml # type: ignore[import] 2025-09-07T08:52:21.1777630Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:52:21.1779238Z from pkg_resources import resource_filename 2025-09-07T08:52:22.2999625Z 2025-09-07T08:52:25.5364667Z loading model: 0it [00:00, ?it/s]`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-09-07T08:52:25.5365761Z WARNING:transformers.modeling_utils:`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-09-07T08:52:25.6064559Z 2025-09-07T08:52:25.6064779Z loading model: 0it [00:03, ?it/s] 2025-09-07T08:52:25.6065143Z cuda train DistillGPT2 2025-09-07T08:52:57.4741801Z W0907 08:52:57.473000 10115 site-packages/torch/_logging/_internal.py:1199] [10/0] Profiler function will be ignored 2025-09-07T08:53:14.2316311Z pass 2025-09-07T08:53:18.8277315Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:53:18.8278755Z import pynvml # type: ignore[import] 2025-09-07T08:53:22.1983833Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:53:22.1985926Z from pkg_resources import resource_filename 2025-09-07T08:53:23.3098504Z 2025-09-07T08:53:23.3116150Z loading model: 0it [00:00, ?it/s]If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T08:53:23.3117158Z WARNING:transformers.models.electra.modeling_electra:If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T08:53:24.3871745Z 2025-09-07T08:53:24.3872106Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:53:24.3872508Z cuda train ElectraForCausalLM 2025-09-07T08:54:30.3055626Z pass 2025-09-07T08:54:33.9605301Z accuracy pass_rate=88.89% 2025-09-07T08:54:33.9612361Z calls_captured gmean=0.00x mean=560.444x 2025-09-07T08:54:33.9616960Z unique_graphs gmean=0.00x mean=3.000x 2025-09-07T08:54:33.9620990Z graph_breaks gmean=0.00x mean=4.889x 2025-09-07T08:54:33.9625690Z unique_graph_breaks gmean=0.00x mean=3.889x 2025-09-07T08:54:33.9629834Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:54:33.9633814Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:54:33.9637819Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T08:54:33.9639144Z compilation_latency mean=58.256 seconds 2025-09-07T08:54:35.1335686Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freezing_cudagraphs-true* ]] 2025-09-07T08:54:35.1337219Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T08:54:35.1338693Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freeze_autotune_cudagraphs-true* ]] 2025-09-07T08:54:35.1340212Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T08:54:35.1341621Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *aotinductor-true* ]] 2025-09-07T08:54:35.1343057Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T08:54:35.1344534Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *maxautotune-true* ]] 2025-09-07T08:54:35.1345970Z + TORCHINDUCTOR_MAX_AUTOTUNE=1 2025-09-07T08:54:35.1347595Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 5 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_accuracy.csv 2025-09-07T08:54:36.1681591Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:54:36.1683010Z import pynvml # type: ignore[import] 2025-09-07T08:54:39.6180853Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:54:39.6182442Z from pkg_resources import resource_filename 2025-09-07T08:54:42.1152519Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:54:42.1154429Z import pynvml # type: ignore[import] 2025-09-07T08:54:45.4916352Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:54:45.4917933Z from pkg_resources import resource_filename 2025-09-07T08:54:46.6823941Z 2025-09-07T08:54:48.3001937Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:54:48.3002332Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:54:48.3002684Z cuda train BlenderbotSmallForCausalLM 2025-09-07T08:54:57.7104225Z Autotune Choices Stats: 2025-09-07T08:54:57.7106196Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.01228800043463707, "best_triton_pos": 1, "best_triton_time": 0.01228800043463707, "best_triton_kernel": "triton_mm_80", "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"} 2025-09-07T08:54:57.7111567Z AUTOTUNE addmm(128x2048, 128x512, 512x2048) 2025-09-07T08:54:57.7111960Z strides: [0, 1], [512, 1], [1, 512] 2025-09-07T08:54:57.7112329Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:54:57.7112713Z bias_addmm 0.0123 ms 100.0% 2025-09-07T08:54:57.7113476Z triton_mm_80 0.0123 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 2025-09-07T08:54:57.7114681Z triton_mm_73 0.0133 ms 92.3% 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 2025-09-07T08:54:57.7115912Z triton_mm_79 0.0133 ms 92.3% 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 2025-09-07T08:54:57.7117096Z triton_mm_74 0.0143 ms 85.7% 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 2025-09-07T08:54:57.7118280Z triton_mm_83 0.0143 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 2025-09-07T08:54:57.7119459Z triton_mm_75 0.0154 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 2025-09-07T08:54:57.7120648Z triton_mm_76 0.0154 ms 80.0% 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 2025-09-07T08:54:57.7121846Z triton_mm_82 0.0154 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:54:57.7123020Z triton_mm_85 0.0154 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:54:57.7124057Z SingleProcess AUTOTUNE benchmarking takes 0.2863 seconds and 1.5891 seconds precompiling for 20 choices 2025-09-07T08:54:58.9340656Z Autotune Choices Stats: 2025-09-07T08:54:58.9341865Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T08:54:58.9347841Z AUTOTUNE mm(128x512, 512x512) 2025-09-07T08:54:58.9348205Z strides: [512, 1], [1, 512] 2025-09-07T08:54:58.9348532Z dtypes: torch.float16, torch.float16 2025-09-07T08:54:58.9349318Z triton_mm_1 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:54:58.9350536Z triton_mm_4 0.0102 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 2025-09-07T08:54:58.9351284Z mm 0.0113 ms 90.9% 2025-09-07T08:54:58.9351968Z triton_mm_2 0.0113 ms 90.9% 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 2025-09-07T08:54:58.9353140Z triton_mm_3 0.0113 ms 90.9% 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 2025-09-07T08:54:58.9354601Z triton_mm_7 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:54:58.9355778Z triton_mm_8 0.0113 ms 90.9% 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 2025-09-07T08:54:58.9356962Z triton_mm_11 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:54:58.9358134Z triton_mm_10 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:54:58.9359323Z triton_mm_13 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:54:58.9360370Z SingleProcess AUTOTUNE benchmarking takes 0.2471 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:54:59.2129631Z Autotune Choices Stats: 2025-09-07T08:54:59.2131155Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.010239999741315842, "best_triton_pos": 1, "best_triton_time": 0.010239999741315842, "best_triton_kernel": "triton_mm_58", "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"} 2025-09-07T08:54:59.2137007Z AUTOTUNE addmm(128x512, 128x512, 512x512) 2025-09-07T08:54:59.2137344Z strides: [0, 1], [512, 1], [1, 512] 2025-09-07T08:54:59.2137700Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:54:59.2138071Z bias_addmm 0.0102 ms 100.0% 2025-09-07T08:54:59.2138807Z triton_mm_58 0.0102 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 2025-09-07T08:54:59.2140030Z triton_mm_55 0.0113 ms 90.9% 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 2025-09-07T08:54:59.2141218Z triton_mm_56 0.0113 ms 90.9% 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 2025-09-07T08:54:59.2142378Z triton_mm_57 0.0113 ms 90.9% 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 2025-09-07T08:54:59.2143558Z triton_mm_62 0.0113 ms 90.9% 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 2025-09-07T08:54:59.2144797Z triton_mm_61 0.0123 ms 83.3% 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 2025-09-07T08:54:59.2146243Z triton_mm_65 0.0133 ms 76.9% 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 2025-09-07T08:54:59.2147632Z triton_mm_64 0.0143 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 2025-09-07T08:54:59.2148818Z triton_mm_67 0.0143 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=4, num_warps=8 2025-09-07T08:54:59.2149854Z SingleProcess AUTOTUNE benchmarking takes 0.2777 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:54:59.5389534Z Autotune Choices Stats: 2025-09-07T08:54:59.5391257Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.014336000196635723, "best_triton_pos": 1, "best_triton_time": 0.015359999611973763, "best_triton_kernel": "triton_mm_94", "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"} 2025-09-07T08:54:59.5397817Z AUTOTUNE addmm(128x512, 128x2048, 2048x512) 2025-09-07T08:54:59.5398154Z strides: [0, 1], [2048, 1], [1, 2048] 2025-09-07T08:54:59.5398504Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:54:59.5398883Z bias_addmm 0.0143 ms 100.0% 2025-09-07T08:54:59.5399616Z triton_mm_94 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:54:59.5400376Z addmm 0.0195 ms 73.7% 2025-09-07T08:54:59.5401068Z triton_mm_98 0.0195 ms 73.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:54:59.5402274Z triton_mm_91 0.0215 ms 66.7% 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 2025-09-07T08:54:59.5403456Z triton_mm_92 0.0225 ms 63.6% 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 2025-09-07T08:54:59.5404635Z triton_mm_93 0.0225 ms 63.6% 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 2025-09-07T08:54:59.5405801Z triton_mm_97 0.0246 ms 58.3% 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 2025-09-07T08:54:59.5406989Z triton_mm_101 0.0287 ms 50.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:54:59.5408192Z triton_mm_100 0.0317 ms 45.2% 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 2025-09-07T08:54:59.5409214Z SingleProcess AUTOTUNE benchmarking takes 0.3252 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:55:03.1949580Z Autotune Choices Stats: 2025-09-07T08:55:03.1950818Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_124", "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": 0.06758400052785873, "best_triton_pos": 0} 2025-09-07T08:55:03.1957901Z AUTOTUNE mm(128x512, 512x50265) 2025-09-07T08:55:03.1958223Z strides: [512, 1], [1, 512] 2025-09-07T08:55:03.1958528Z dtypes: torch.float16, torch.float16 2025-09-07T08:55:03.1959685Z triton_mm_124 0.0676 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 2025-09-07T08:55:03.1960903Z triton_mm_119 0.0707 ms 95.7% 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 2025-09-07T08:55:03.1962101Z triton_mm_115 0.0768 ms 88.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:55:03.1963299Z triton_mm_125 0.0778 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=5, num_warps=8 2025-09-07T08:55:03.1964508Z triton_mm_123 0.0799 ms 84.6% 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 2025-09-07T08:55:03.1965873Z triton_mm_117 0.0819 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=3, num_warps=4 2025-09-07T08:55:03.1967075Z triton_mm_121 0.0819 ms 82.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:55:03.1968271Z triton_mm_118 0.0829 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:55:03.1969456Z triton_mm_120 0.0881 ms 76.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:55:03.1970649Z triton_mm_116 0.0963 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 2025-09-07T08:55:03.1971696Z SingleProcess AUTOTUNE benchmarking takes 0.4072 seconds and 1.1127 seconds precompiling for 19 choices 2025-09-07T08:55:05.9511291Z Autotune Choices Stats: 2025-09-07T08:55:05.9512782Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.06860800087451935, "best_triton_pos": 1, "best_triton_time": 0.07884799689054489, "best_triton_kernel": "triton_mm_141", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:55:05.9519565Z AUTOTUNE mm(50265x128, 128x512) 2025-09-07T08:55:05.9519879Z strides: [1, 50304], [512, 1] 2025-09-07T08:55:05.9520188Z dtypes: torch.float16, torch.float16 2025-09-07T08:55:05.9520502Z mm 0.0686 ms 100.0% 2025-09-07T08:55:05.9521219Z triton_mm_141 0.0788 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:55:05.9522462Z triton_mm_142 0.0788 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:55:05.9523667Z triton_mm_140 0.0819 ms 83.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T08:55:05.9524861Z triton_mm_135 0.0840 ms 81.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:55:05.9526055Z triton_mm_134 0.0911 ms 75.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:55:05.9527244Z triton_mm_137 0.0932 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 2025-09-07T08:55:05.9528791Z triton_mm_131 0.0963 ms 71.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:55:05.9529979Z triton_mm_138 0.0993 ms 69.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:55:05.9531165Z triton_mm_143 0.1014 ms 67.7% 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 2025-09-07T08:55:05.9532211Z SingleProcess AUTOTUNE benchmarking takes 0.4475 seconds and 0.3530 seconds precompiling for 19 choices 2025-09-07T08:55:07.6647338Z Autotune Choices Stats: 2025-09-07T08:55:07.6649181Z {"num_choices": 24, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.07782399654388428, "best_triton_pos": 4, "best_triton_time": 0.20377600193023682, "best_triton_kernel": "triton_mm_148", "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"} 2025-09-07T08:55:07.6664932Z AUTOTUNE mm(128x50272, 50272x512) 2025-09-07T08:55:07.6665315Z strides: [50304, 1], [512, 1] 2025-09-07T08:55:07.6665626Z dtypes: torch.float16, torch.float16 2025-09-07T08:55:07.6665935Z mm 0.0778 ms 100.0% 2025-09-07T08:55:07.6666230Z decompose_k_mm_4_split_1 0.0881 ms 88.4% k_split=4 2025-09-07T08:55:07.6666828Z decompose_k_mm_2_split_0 0.1147 ms 67.9% k_split=2 2025-09-07T08:55:07.6667244Z decompose_k_mm_16_split_3 0.1536 ms 50.7% k_split=16 2025-09-07T08:55:07.6668067Z triton_mm_148 0.2038 ms 38.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:55:07.6668914Z decompose_k_mm_8_split_2 0.2202 ms 35.3% k_split=8 2025-09-07T08:55:07.6669714Z triton_mm_152 0.3154 ms 24.7% 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 2025-09-07T08:55:07.6670910Z triton_mm_146 0.3461 ms 22.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:55:07.6672091Z triton_mm_147 0.3594 ms 21.7% 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 2025-09-07T08:55:07.6673278Z triton_mm_145 0.4229 ms 18.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:55:07.6674311Z SingleProcess AUTOTUNE benchmarking takes 1.4526 seconds and 0.0003 seconds precompiling for 24 choices 2025-09-07T08:55:11.0052232Z Autotune Choices Stats: 2025-09-07T08:55:11.0053896Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_188", "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} 2025-09-07T08:55:11.0064085Z AUTOTUNE mm(512x128, 128x2048) 2025-09-07T08:55:11.0064822Z strides: [1, 512], [2048, 1] 2025-09-07T08:55:11.0065538Z dtypes: torch.float16, torch.float16 2025-09-07T08:55:11.0066371Z triton_mm_188 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 2025-09-07T08:55:11.0067844Z triton_mm_189 0.0113 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 2025-09-07T08:55:11.0073392Z triton_mm_191 0.0113 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 2025-09-07T08:55:11.0074616Z triton_mm_192 0.0113 ms 100.0% 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 2025-09-07T08:55:11.0075821Z triton_mm_184 0.0123 ms 91.7% 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 2025-09-07T08:55:11.0077009Z triton_mm_186 0.0123 ms 91.7% 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 2025-09-07T08:55:11.0078178Z triton_mm_187 0.0123 ms 91.7% 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 2025-09-07T08:55:11.0079555Z triton_mm_190 0.0123 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 2025-09-07T08:55:11.0080758Z triton_mm_193 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:55:11.0081959Z triton_mm_195 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:55:11.0083008Z SingleProcess AUTOTUNE benchmarking takes 0.3352 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T08:55:11.6350313Z Autotune Choices Stats: 2025-09-07T08:55:11.6351581Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_224", "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} 2025-09-07T08:55:11.6352810Z AUTOTUNE mm(2048x128, 128x512) 2025-09-07T08:55:11.6353101Z strides: [1, 2048], [512, 1] 2025-09-07T08:55:11.6353400Z dtypes: torch.float16, torch.float16 2025-09-07T08:55:11.6354158Z triton_mm_224 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 2025-09-07T08:55:11.6355385Z triton_mm_225 0.0113 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 2025-09-07T08:55:11.6356595Z triton_mm_227 0.0113 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 2025-09-07T08:55:11.6357811Z triton_mm_228 0.0113 ms 100.0% 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 2025-09-07T08:55:11.6359019Z triton_mm_229 0.0113 ms 100.0% 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 2025-09-07T08:55:11.6360237Z triton_mm_231 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:55:11.6361462Z triton_mm_232 0.0113 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 2025-09-07T08:55:11.6362214Z mm 0.0123 ms 91.7% 2025-09-07T08:55:11.6362923Z triton_mm_220 0.0123 ms 91.7% 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 2025-09-07T08:55:11.6364509Z triton_mm_222 0.0123 ms 91.7% 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 2025-09-07T08:55:11.6365552Z SingleProcess AUTOTUNE benchmarking takes 0.3170 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T08:55:12.2949201Z Autotune Choices Stats: 2025-09-07T08:55:12.2950418Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_260", "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": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T08:55:12.2959657Z AUTOTUNE mm(512x128, 128x512) 2025-09-07T08:55:12.2959974Z strides: [1, 512], [512, 1] 2025-09-07T08:55:12.2960272Z dtypes: torch.float16, torch.float16 2025-09-07T08:55:12.2961379Z triton_mm_260 0.0082 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 2025-09-07T08:55:12.2962594Z triton_mm_253 0.0092 ms 88.9% 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 2025-09-07T08:55:12.2963778Z triton_mm_254 0.0092 ms 88.9% 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 2025-09-07T08:55:12.2964962Z triton_mm_256 0.0092 ms 88.9% 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 2025-09-07T08:55:12.2966149Z triton_mm_259 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:55:12.2967346Z triton_mm_262 0.0092 ms 88.9% 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 2025-09-07T08:55:12.2968531Z triton_mm_263 0.0092 ms 88.9% 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 2025-09-07T08:55:12.2969265Z mm 0.0102 ms 80.0% 2025-09-07T08:55:12.2969954Z triton_mm_255 0.0102 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 2025-09-07T08:55:12.2971130Z triton_mm_258 0.0102 ms 80.0% 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 2025-09-07T08:55:12.2972164Z SingleProcess AUTOTUNE benchmarking takes 0.2305 seconds and 0.3818 seconds precompiling for 19 choices 2025-09-07T08:55:12.7862373Z Autotune Choices Stats: 2025-09-07T08:55:12.7863893Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.01228800043463707, "best_triton_pos": 1, "best_triton_time": 0.01228800043463707, "best_triton_kernel": "triton_mm_169", "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=3, num_warps=8"} 2025-09-07T08:55:12.7873464Z AUTOTUNE mm(128x512, 512x2048) 2025-09-07T08:55:12.7873776Z strides: [512, 1], [2048, 1] 2025-09-07T08:55:12.7874133Z dtypes: torch.float16, torch.float16 2025-09-07T08:55:12.7874433Z mm 0.0123 ms 100.0% 2025-09-07T08:55:12.7875140Z triton_mm_169 0.0123 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 2025-09-07T08:55:12.7876353Z triton_mm_170 0.0123 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 2025-09-07T08:55:12.7877868Z triton_mm_173 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:55:12.7879062Z triton_mm_163 0.0143 ms 85.7% 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 2025-09-07T08:55:12.7880245Z triton_mm_164 0.0143 ms 85.7% 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 2025-09-07T08:55:12.7881411Z triton_mm_165 0.0143 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 2025-09-07T08:55:12.7882603Z triton_mm_172 0.0143 ms 85.7% 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 2025-09-07T08:55:12.7883943Z triton_mm_175 0.0143 ms 85.7% 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 2025-09-07T08:55:12.7885134Z triton_mm_166 0.0154 ms 80.0% 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 2025-09-07T08:55:12.7886173Z SingleProcess AUTOTUNE benchmarking takes 0.2440 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:55:13.3285695Z Autotune Choices Stats: 2025-09-07T08:55:13.3286918Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_346", "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": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T08:55:13.3299358Z AUTOTUNE mm(128x512, 512x512) 2025-09-07T08:55:13.3299653Z strides: [512, 1], [512, 1] 2025-09-07T08:55:13.3299973Z dtypes: torch.float16, torch.float16 2025-09-07T08:55:13.3300750Z triton_mm_346 0.0102 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 2025-09-07T08:55:13.3301513Z mm 0.0113 ms 90.9% 2025-09-07T08:55:13.3302196Z triton_mm_343 0.0113 ms 90.9% 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 2025-09-07T08:55:13.3303390Z triton_mm_344 0.0113 ms 90.9% 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 2025-09-07T08:55:13.3304657Z triton_mm_345 0.0113 ms 90.9% 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 2025-09-07T08:55:13.3305857Z triton_mm_350 0.0113 ms 90.9% 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 2025-09-07T08:55:13.3307244Z triton_mm_349 0.0123 ms 83.3% 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 2025-09-07T08:55:13.3308437Z triton_mm_353 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:55:13.3309626Z triton_mm_352 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:55:13.3310805Z triton_mm_355 0.0143 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=4, num_warps=8 2025-09-07T08:55:13.3312197Z SingleProcess AUTOTUNE benchmarking takes 0.2424 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:55:14.3954459Z Autotune Choices Stats: 2025-09-07T08:55:14.3955679Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_202", "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": 0.015359999611973763, "best_triton_pos": 0} 2025-09-07T08:55:14.3966128Z AUTOTUNE mm(128x2048, 2048x512) 2025-09-07T08:55:14.3966445Z strides: [2048, 1], [512, 1] 2025-09-07T08:55:14.3966767Z dtypes: torch.float16, torch.float16 2025-09-07T08:55:14.3967540Z triton_mm_202 0.0154 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 2025-09-07T08:55:14.3968321Z mm 0.0164 ms 93.7% 2025-09-07T08:55:14.3969287Z triton_mm_206 0.0184 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:55:14.3970487Z triton_mm_200 0.0215 ms 71.4% 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 2025-09-07T08:55:14.3971671Z triton_mm_201 0.0215 ms 71.4% 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 2025-09-07T08:55:14.3972857Z triton_mm_199 0.0236 ms 65.2% 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 2025-09-07T08:55:14.3974029Z triton_mm_205 0.0246 ms 62.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:55:14.3975223Z triton_mm_209 0.0276 ms 55.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:55:14.3976415Z triton_mm_208 0.0328 ms 46.9% 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 2025-09-07T08:55:14.3977606Z triton_mm_211 0.0348 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 2025-09-07T08:55:14.3978646Z SingleProcess AUTOTUNE benchmarking takes 0.2869 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:55:15.4944987Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/blenderbot_small/modeling_blenderbot_small.py", line 95, in forward 2025-09-07T08:55:15.4946366Z return super().forward(position_ids) 2025-09-07T08:55:15.4946805Z 2025-09-07T08:55:15.4946810Z 2025-09-07T08:55:16.0911799Z pass 2025-09-07T08:55:19.8678672Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:55:19.8680115Z import pynvml # type: ignore[import] 2025-09-07T08:55:23.2529076Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:55:23.2531128Z from pkg_resources import resource_filename 2025-09-07T08:55:24.3399775Z 2025-09-07T08:55:26.5160020Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:55:26.5160377Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:55:26.5160738Z cuda train BlenderbotSmallForConditionalGeneration 2025-09-07T08:55:35.3861045Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/blenderbot_small/modeling_blenderbot_small.py", line 95, in forward 2025-09-07T08:55:35.3862386Z return super().forward(position_ids) 2025-09-07T08:55:35.3862631Z 2025-09-07T08:55:35.3862636Z 2025-09-07T08:55:47.6484718Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/blenderbot_small/modeling_blenderbot_small.py", line 95, in forward 2025-09-07T08:55:47.6486087Z return super().forward(position_ids) 2025-09-07T08:55:47.6486325Z 2025-09-07T08:55:47.6486330Z 2025-09-07T08:55:49.4431017Z pass 2025-09-07T08:55:53.1258984Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:55:53.1260435Z import pynvml # type: ignore[import] 2025-09-07T08:55:56.5000458Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:55:56.5002051Z from pkg_resources import resource_filename 2025-09-07T08:55:57.6326956Z 2025-09-07T08:56:00.1246254Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:56:00.1246642Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:56:00.1246985Z cuda train CamemBert 2025-09-07T08:56:22.9475333Z Autotune Choices Stats: 2025-09-07T08:56:22.9476897Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.021503999829292297, "best_triton_pos": 1, "best_triton_time": 0.02252800017595291, "best_triton_kernel": "triton_mm_83", "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"} 2025-09-07T08:56:22.9487802Z AUTOTUNE addmm(512x3072, 512x768, 768x3072) 2025-09-07T08:56:22.9488170Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T08:56:22.9488531Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:56:22.9488895Z bias_addmm 0.0215 ms 100.0% 2025-09-07T08:56:22.9489645Z triton_mm_83 0.0225 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:22.9490886Z triton_mm_89 0.0225 ms 95.5% 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 2025-09-07T08:56:22.9492081Z triton_mm_88 0.0236 ms 91.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:22.9493267Z triton_mm_81 0.0246 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 2025-09-07T08:56:22.9494460Z triton_mm_84 0.0246 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:22.9495641Z triton_mm_82 0.0256 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:22.9497159Z triton_mm_85 0.0256 ms 84.0% 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 2025-09-07T08:56:22.9498348Z triton_mm_87 0.0266 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 2025-09-07T08:56:22.9499534Z triton_mm_79 0.0297 ms 72.4% 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 2025-09-07T08:56:22.9500564Z SingleProcess AUTOTUNE benchmarking takes 0.3240 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T08:56:24.6052202Z Autotune Choices Stats: 2025-09-07T08:56:24.6054136Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.014336000196635723, "best_triton_pos": 1, "best_triton_time": 0.014336000196635723, "best_triton_kernel": "triton_mm_8", "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"} 2025-09-07T08:56:24.6065017Z AUTOTUNE addmm(512x768, 512x768, 768x768) 2025-09-07T08:56:24.6065373Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T08:56:24.6065720Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:56:24.6066098Z bias_addmm 0.0143 ms 100.0% 2025-09-07T08:56:24.6067040Z triton_mm_8 0.0143 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 2025-09-07T08:56:24.6068242Z triton_mm_7 0.0154 ms 93.3% 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 2025-09-07T08:56:24.6069430Z triton_mm_11 0.0164 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 2025-09-07T08:56:24.6070592Z triton_mm_2 0.0174 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:56:24.6071758Z triton_mm_3 0.0174 ms 82.4% 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 2025-09-07T08:56:24.6072929Z triton_mm_4 0.0174 ms 82.4% 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 2025-09-07T08:56:24.6074107Z triton_mm_10 0.0174 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:24.6075298Z triton_mm_1 0.0184 ms 77.8% 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 2025-09-07T08:56:24.6076479Z triton_mm_13 0.0184 ms 77.8% 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 2025-09-07T08:56:24.6077523Z SingleProcess AUTOTUNE benchmarking takes 0.2883 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:56:24.9745458Z Autotune Choices Stats: 2025-09-07T08:56:24.9746783Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_98", "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": 0.025599999353289604, "best_triton_pos": 0} 2025-09-07T08:56:24.9759253Z AUTOTUNE addmm(512x768, 512x3072, 3072x768) 2025-09-07T08:56:24.9759596Z strides: [0, 1], [3072, 1], [1, 3072] 2025-09-07T08:56:24.9759987Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:56:24.9760818Z triton_mm_98 0.0256 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 2025-09-07T08:56:24.9761596Z bias_addmm 0.0307 ms 83.3% 2025-09-07T08:56:24.9761883Z addmm 0.0338 ms 75.8% 2025-09-07T08:56:24.9762577Z triton_mm_97 0.0369 ms 69.4% 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 2025-09-07T08:56:24.9763770Z triton_mm_101 0.0399 ms 64.1% 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 2025-09-07T08:56:24.9764960Z triton_mm_91 0.0451 ms 56.8% 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 2025-09-07T08:56:24.9766303Z triton_mm_100 0.0451 ms 56.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:24.9767492Z triton_mm_92 0.0461 ms 55.6% 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 2025-09-07T08:56:24.9768665Z triton_mm_93 0.0461 ms 55.6% 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 2025-09-07T08:56:24.9769837Z triton_mm_94 0.0461 ms 55.6% 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 2025-09-07T08:56:24.9770870Z SingleProcess AUTOTUNE benchmarking takes 0.3656 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:56:25.7242367Z Autotune Choices Stats: 2025-09-07T08:56:25.7243565Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_1330", "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": 0.17715199291706085, "best_triton_pos": 0} 2025-09-07T08:56:25.7256609Z AUTOTUNE addmm(512x32005, 512x768, 768x32005) 2025-09-07T08:56:25.7256966Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T08:56:25.7257310Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:56:25.7258152Z triton_mm_1330 0.1772 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 2025-09-07T08:56:25.7259382Z triton_mm_1323 0.1843 ms 96.1% 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 2025-09-07T08:56:25.7260605Z triton_mm_1329 0.1874 ms 94.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:25.7261813Z triton_mm_1325 0.1925 ms 92.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:25.7263010Z triton_mm_1326 0.2099 ms 84.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:25.7264209Z triton_mm_1321 0.2304 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:56:25.7265469Z triton_mm_1331 0.2304 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:56:25.7267086Z triton_mm_1324 0.2324 ms 76.2% 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 2025-09-07T08:56:25.7268295Z triton_mm_1327 0.2335 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 2025-09-07T08:56:25.7269496Z triton_mm_1320 0.2499 ms 70.9% 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 2025-09-07T08:56:25.7270529Z SingleProcess AUTOTUNE benchmarking takes 0.6940 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:56:40.6014932Z Autotune Choices Stats: 2025-09-07T08:56:40.6016837Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.11878400295972824, "best_triton_pos": 1, "best_triton_time": 0.19968000054359436, "best_triton_kernel": "triton_mm_1366", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:56:40.6030030Z AUTOTUNE mm(32005x512, 512x768) 2025-09-07T08:56:40.6030341Z strides: [1, 32064], [768, 1] 2025-09-07T08:56:40.6030649Z dtypes: torch.float16, torch.float16 2025-09-07T08:56:40.6030970Z mm 0.1188 ms 100.0% 2025-09-07T08:56:40.6031680Z triton_mm_1366 0.1997 ms 59.5% 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 2025-09-07T08:56:40.6032909Z triton_mm_1364 0.2191 ms 54.2% 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 2025-09-07T08:56:40.6034147Z triton_mm_1365 0.2202 ms 54.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:40.6035359Z triton_mm_1361 0.2591 ms 45.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:40.6036563Z triton_mm_1359 0.2806 ms 42.3% 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 2025-09-07T08:56:40.6037767Z triton_mm_1362 0.2806 ms 42.3% 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 2025-09-07T08:56:40.6038971Z triton_mm_1360 0.2898 ms 41.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:40.6040163Z triton_mm_1355 0.2939 ms 40.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:56:40.6041372Z triton_mm_1367 0.2980 ms 39.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:56:40.6042419Z SingleProcess AUTOTUNE benchmarking takes 0.6741 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T08:56:41.1647439Z Autotune Choices Stats: 2025-09-07T08:56:41.1648660Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1431", "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": 0.02252800017595291, "best_triton_pos": 0} 2025-09-07T08:56:41.1664229Z AUTOTUNE mm(768x512, 512x3072) 2025-09-07T08:56:41.1664955Z strides: [1, 768], [3072, 1] 2025-09-07T08:56:41.1665246Z dtypes: torch.float16, torch.float16 2025-09-07T08:56:41.1666049Z triton_mm_1431 0.0225 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 2025-09-07T08:56:41.1667492Z triton_mm_1433 0.0225 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 2025-09-07T08:56:41.1668257Z mm 0.0236 ms 95.7% 2025-09-07T08:56:41.1668971Z triton_mm_1437 0.0236 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:41.1670197Z triton_mm_1432 0.0246 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 2025-09-07T08:56:41.1671546Z triton_mm_1434 0.0246 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:41.1672754Z triton_mm_1435 0.0246 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:41.1673970Z triton_mm_1438 0.0246 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:41.1675186Z triton_mm_1439 0.0276 ms 81.5% 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 2025-09-07T08:56:41.1676399Z triton_mm_1429 0.0287 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 2025-09-07T08:56:41.1677441Z SingleProcess AUTOTUNE benchmarking takes 0.2770 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:56:41.6596707Z Autotune Choices Stats: 2025-09-07T08:56:41.6597920Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1469", "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": 0.02252800017595291, "best_triton_pos": 0} 2025-09-07T08:56:41.6612957Z AUTOTUNE mm(3072x512, 512x768) 2025-09-07T08:56:41.6613307Z strides: [1, 3072], [768, 1] 2025-09-07T08:56:41.6613617Z dtypes: torch.float16, torch.float16 2025-09-07T08:56:41.6614408Z triton_mm_1469 0.0225 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 2025-09-07T08:56:41.6615645Z triton_mm_1470 0.0225 ms 100.0% 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 2025-09-07T08:56:41.6616445Z mm 0.0236 ms 95.7% 2025-09-07T08:56:41.6617151Z triton_mm_1467 0.0236 ms 95.7% 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 2025-09-07T08:56:41.6618363Z triton_mm_1473 0.0236 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:41.6619562Z triton_mm_1468 0.0246 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 2025-09-07T08:56:41.6620759Z triton_mm_1471 0.0246 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:41.6624033Z triton_mm_1474 0.0246 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:41.6625367Z triton_mm_1475 0.0276 ms 81.5% 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 2025-09-07T08:56:41.6626580Z triton_mm_1465 0.0287 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 2025-09-07T08:56:41.6627857Z SingleProcess AUTOTUNE benchmarking takes 0.2765 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T08:56:42.2134474Z Autotune Choices Stats: 2025-09-07T08:56:42.2136313Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.020479999482631683, "best_triton_pos": 1, "best_triton_time": 0.020479999482631683, "best_triton_kernel": "triton_mm_1420", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:56:42.2151292Z AUTOTUNE mm(512x768, 768x3072) 2025-09-07T08:56:42.2151630Z strides: [768, 1], [3072, 1] 2025-09-07T08:56:42.2151924Z dtypes: torch.float16, torch.float16 2025-09-07T08:56:42.2152238Z mm 0.0205 ms 100.0% 2025-09-07T08:56:42.2152969Z triton_mm_1420 0.0205 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 2025-09-07T08:56:42.2154203Z triton_mm_1415 0.0215 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:42.2155415Z triton_mm_1421 0.0215 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=5, num_warps=8 2025-09-07T08:56:42.2156656Z triton_mm_1413 0.0236 ms 87.0% 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 2025-09-07T08:56:42.2157859Z triton_mm_1416 0.0236 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:42.2159050Z triton_mm_1414 0.0246 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:42.2160259Z triton_mm_1419 0.0246 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:42.2161464Z triton_mm_1417 0.0256 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:42.2162665Z triton_mm_1411 0.0297 ms 69.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:56:42.2163707Z SingleProcess AUTOTUNE benchmarking takes 0.2756 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:56:43.0057988Z Autotune Choices Stats: 2025-09-07T08:56:43.0059513Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.013311999849975109, "best_triton_pos": 1, "best_triton_time": 0.013311999849975109, "best_triton_kernel": "triton_mm_1397", "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"} 2025-09-07T08:56:43.0075338Z AUTOTUNE mm(768x512, 512x768) 2025-09-07T08:56:43.0075664Z strides: [1, 768], [768, 1] 2025-09-07T08:56:43.0076326Z dtypes: torch.float16, torch.float16 2025-09-07T08:56:43.0076639Z mm 0.0133 ms 100.0% 2025-09-07T08:56:43.0077378Z triton_mm_1397 0.0133 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 2025-09-07T08:56:43.0078586Z triton_mm_1393 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:56:43.0079783Z triton_mm_1396 0.0143 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=4, num_warps=8 2025-09-07T08:56:43.0080983Z triton_mm_1399 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:43.0082351Z triton_mm_1395 0.0154 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:43.0083560Z triton_mm_1394 0.0164 ms 81.2% 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 2025-09-07T08:56:43.0084775Z triton_mm_1398 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:43.0085986Z triton_mm_1402 0.0164 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=3, num_warps=4 2025-09-07T08:56:43.0087209Z triton_mm_1403 0.0164 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 2025-09-07T08:56:43.0088273Z SingleProcess AUTOTUNE benchmarking takes 0.2463 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:56:46.3873406Z Autotune Choices Stats: 2025-09-07T08:56:46.3874908Z {"num_choices": 22, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.16383999586105347, "best_triton_pos": 1, "best_triton_time": 0.2099200040102005, "best_triton_kernel": "triton_mm_1340", "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"} 2025-09-07T08:56:46.3898938Z AUTOTUNE mm(512x32008, 32008x768) 2025-09-07T08:56:46.3899271Z strides: [32064, 1], [768, 1] 2025-09-07T08:56:46.3899594Z dtypes: torch.float16, torch.float16 2025-09-07T08:56:46.3899904Z mm 0.1638 ms 100.0% 2025-09-07T08:56:46.3900612Z triton_mm_1340 0.2099 ms 78.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:56:46.3901856Z triton_mm_1336 0.2898 ms 56.5% 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 2025-09-07T08:56:46.3903067Z triton_mm_1339 0.2939 ms 55.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:56:46.3904275Z triton_mm_1343 0.3297 ms 49.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:46.3905566Z triton_mm_1333 0.3512 ms 46.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:56:46.3906984Z triton_mm_1342 0.3932 ms 41.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:46.3908562Z triton_mm_1345 0.4014 ms 40.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:46.3909772Z triton_mm_1334 0.4116 ms 39.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:56:46.3910962Z triton_mm_1335 0.4229 ms 38.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:56:46.3912013Z SingleProcess AUTOTUNE benchmarking takes 1.2233 seconds and 0.0002 seconds precompiling for 22 choices 2025-09-07T08:56:46.6467477Z Autotune Choices Stats: 2025-09-07T08:56:46.6469012Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1376", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T08:56:46.6488320Z AUTOTUNE mm(512x768, 768x768) 2025-09-07T08:56:46.6488667Z strides: [768, 1], [768, 1] 2025-09-07T08:56:46.6488971Z dtypes: torch.float16, torch.float16 2025-09-07T08:56:46.6489767Z triton_mm_1376 0.0133 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 2025-09-07T08:56:46.6490540Z mm 0.0143 ms 92.9% 2025-09-07T08:56:46.6491239Z triton_mm_1375 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:56:46.6492425Z triton_mm_1379 0.0154 ms 86.7% 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 2025-09-07T08:56:46.6493659Z triton_mm_1372 0.0164 ms 81.2% 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 2025-09-07T08:56:46.6494862Z triton_mm_1378 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:46.6496057Z triton_mm_1369 0.0174 ms 76.5% 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 2025-09-07T08:56:46.6497252Z triton_mm_1370 0.0174 ms 76.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:56:46.6498433Z triton_mm_1371 0.0174 ms 76.5% 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 2025-09-07T08:56:46.6499640Z triton_mm_1381 0.0174 ms 76.5% 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 2025-09-07T08:56:46.6500673Z SingleProcess AUTOTUNE benchmarking takes 0.2571 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T08:56:46.9801929Z Autotune Choices Stats: 2025-09-07T08:56:46.9803418Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.025599999353289604, "best_triton_pos": 1, "best_triton_time": 0.026623999699950218, "best_triton_kernel": "triton_mm_1448", "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"} 2025-09-07T08:56:46.9822181Z AUTOTUNE mm(512x3072, 3072x768) 2025-09-07T08:56:46.9822533Z strides: [3072, 1], [768, 1] 2025-09-07T08:56:46.9823148Z dtypes: torch.float16, torch.float16 2025-09-07T08:56:46.9823467Z mm 0.0256 ms 100.0% 2025-09-07T08:56:46.9824208Z triton_mm_1448 0.0266 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 2025-09-07T08:56:46.9825531Z triton_mm_1444 0.0338 ms 75.8% 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 2025-09-07T08:56:46.9826945Z triton_mm_1447 0.0358 ms 71.4% 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 2025-09-07T08:56:46.9828148Z triton_mm_1451 0.0389 ms 65.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:46.9829343Z triton_mm_1441 0.0440 ms 58.1% 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 2025-09-07T08:56:46.9830712Z triton_mm_1442 0.0451 ms 56.8% 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 2025-09-07T08:56:46.9831907Z triton_mm_1443 0.0451 ms 56.8% 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 2025-09-07T08:56:46.9833105Z triton_mm_1450 0.0461 ms 55.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:46.9834300Z triton_mm_1453 0.0492 ms 52.1% 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 2025-09-07T08:56:46.9835358Z SingleProcess AUTOTUNE benchmarking takes 0.3321 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:56:50.7708644Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:56:50.7709997Z pred = mod(**cloned_inputs) 2025-09-07T08:56:50.7710754Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 1038, in forward 2025-09-07T08:56:50.7711522Z outputs = self.roberta( 2025-09-07T08:56:50.7712249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 886, in forward 2025-09-07T08:56:50.7713031Z embedding_output = self.embeddings( 2025-09-07T08:56:50.7713786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 118, in forward 2025-09-07T08:56:50.7714657Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T08:56:50.7714994Z 2025-09-07T08:56:50.7715004Z 2025-09-07T08:56:51.8246306Z W0907 08:56:51.823000 14775 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:57:25.4948704Z Run failed with return code: -11 2025-09-07T08:57:25.4949099Z Output: None 2025-09-07T08:57:25.4949337Z Error: None 2025-09-07T08:57:26.5806590Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:57:26.5808020Z import pynvml # type: ignore[import] 2025-09-07T08:57:29.9622406Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:57:29.9624480Z from pkg_resources import resource_filename 2025-09-07T08:57:31.0885344Z 2025-09-07T08:57:44.8490127Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:57:44.8490520Z loading model: 0it [00:13, ?it/s] 2025-09-07T08:57:44.8490868Z cuda train DebertaV2ForMaskedLM 2025-09-07T08:57:44.8720049Z pass_due_to_skip 2025-09-07T08:57:47.3261447Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:57:47.3262867Z import pynvml # type: ignore[import] 2025-09-07T08:57:50.6934850Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:57:50.6936487Z from pkg_resources import resource_filename 2025-09-07T08:57:51.8361710Z 2025-09-07T08:58:03.3683800Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:58:03.3684188Z loading model: 0it [00:11, ?it/s] 2025-09-07T08:58:03.3684528Z cuda train DebertaV2ForQuestionAnswering 2025-09-07T08:58:49.6676327Z Autotune Choices Stats: 2025-09-07T08:58:49.6677952Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.05427199974656105, "best_triton_pos": 1, "best_triton_time": 0.05632000043988228, "best_triton_kernel": "triton_mm_125", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:58:49.6697032Z AUTOTUNE addmm(512x6144, 512x1536, 1536x6144) 2025-09-07T08:58:49.6697397Z strides: [0, 1], [1536, 1], [1, 1536] 2025-09-07T08:58:49.6697766Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:58:49.6698157Z bias_addmm 0.0543 ms 100.0% 2025-09-07T08:58:49.6698901Z triton_mm_125 0.0563 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:49.6700112Z triton_mm_124 0.0614 ms 88.3% 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 2025-09-07T08:58:49.6701313Z triton_mm_120 0.0635 ms 85.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:49.6702495Z triton_mm_121 0.0676 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=3, num_warps=4 2025-09-07T08:58:49.6703254Z addmm 0.0717 ms 75.7% 2025-09-07T08:58:49.6703966Z triton_mm_126 0.0717 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=5, num_warps=8 2025-09-07T08:58:49.6705252Z triton_mm_119 0.0758 ms 71.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:49.6706447Z triton_mm_122 0.0758 ms 71.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:49.6707822Z triton_mm_118 0.0788 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=3, num_warps=4 2025-09-07T08:58:49.6709214Z SingleProcess AUTOTUNE benchmarking takes 0.4597 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T08:58:50.7240898Z Autotune Choices Stats: 2025-09-07T08:58:50.7242394Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.02252800017595291, "best_triton_pos": 1, "best_triton_time": 0.025599999353289604, "best_triton_kernel": "triton_mm_29", "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"} 2025-09-07T08:58:50.7261544Z AUTOTUNE mm(512x1536, 1536x1536) 2025-09-07T08:58:50.7261854Z strides: [1536, 1], [1, 1536] 2025-09-07T08:58:50.7262157Z dtypes: torch.float16, torch.float16 2025-09-07T08:58:50.7262454Z mm 0.0225 ms 100.0% 2025-09-07T08:58:50.7263165Z triton_mm_29 0.0256 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 2025-09-07T08:58:50.7264817Z triton_mm_25 0.0266 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:58:50.7266015Z triton_mm_26 0.0276 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:58:50.7267520Z triton_mm_28 0.0276 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:50.7268711Z triton_mm_31 0.0276 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 2025-09-07T08:58:50.7269904Z triton_mm_34 0.0338 ms 66.7% 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 2025-09-07T08:58:50.7271093Z triton_mm_30 0.0348 ms 64.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:50.7272277Z triton_mm_27 0.0358 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 2025-09-07T08:58:50.7273465Z triton_mm_35 0.0369 ms 61.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:58:50.7274505Z SingleProcess AUTOTUNE benchmarking takes 0.3016 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T08:58:52.4533881Z Autotune Choices Stats: 2025-09-07T08:58:52.4535135Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_63", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.018432000651955605, "best_triton_pos": 0} 2025-09-07T08:58:52.4554309Z AUTOTUNE bmm(24x512x64, 24x64x512) 2025-09-07T08:58:52.4554647Z strides: [32768, 64, 1], [64, 1, 1536] 2025-09-07T08:58:52.4554983Z dtypes: torch.float16, torch.float16 2025-09-07T08:58:52.4555760Z triton_bmm_63 0.0184 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 2025-09-07T08:58:52.4556956Z triton_bmm_62 0.0195 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=5, num_warps=4 2025-09-07T08:58:52.4558144Z triton_bmm_65 0.0195 ms 94.7% 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 2025-09-07T08:58:52.4559690Z triton_bmm_66 0.0195 ms 94.7% 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=4, num_warps=4 2025-09-07T08:58:52.4560872Z triton_bmm_61 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:58:52.4562063Z triton_bmm_67 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:52.4563265Z triton_bmm_70 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:52.4564459Z triton_bmm_64 0.0215 ms 85.7% 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 2025-09-07T08:58:52.4565803Z triton_bmm_68 0.0215 ms 85.7% 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 2025-09-07T08:58:52.4567008Z triton_bmm_69 0.0215 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T08:58:52.4568059Z SingleProcess AUTOTUNE benchmarking takes 0.2776 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:58:52.7209519Z Autotune Choices Stats: 2025-09-07T08:58:52.7210700Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_84", "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": 0.023552000522613525, "best_triton_pos": 0} 2025-09-07T08:58:52.7230815Z AUTOTUNE bmm(24x512x512, 24x512x64) 2025-09-07T08:58:52.7231166Z strides: [262144, 512, 1], [32768, 64, 1] 2025-09-07T08:58:52.7231507Z dtypes: torch.float16, torch.float16 2025-09-07T08:58:52.7232280Z triton_bmm_84 0.0236 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 2025-09-07T08:58:52.7233490Z triton_bmm_80 0.0246 ms 95.8% 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 2025-09-07T08:58:52.7234686Z triton_bmm_85 0.0246 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:58:52.7235890Z triton_bmm_89 0.0246 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:52.7237094Z triton_bmm_74 0.0256 ms 92.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:58:52.7238275Z triton_bmm_81 0.0256 ms 92.0% 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 2025-09-07T08:58:52.7239465Z triton_bmm_82 0.0256 ms 92.0% 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=3, num_warps=4 2025-09-07T08:58:52.7240651Z triton_bmm_83 0.0256 ms 92.0% 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 2025-09-07T08:58:52.7241841Z triton_bmm_87 0.0256 ms 92.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:52.7243279Z triton_bmm_90 0.0256 ms 92.0% 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 2025-09-07T08:58:52.7244322Z SingleProcess AUTOTUNE benchmarking takes 0.2671 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:58:53.0512296Z Autotune Choices Stats: 2025-09-07T08:58:53.0513806Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.02252800017595291, "best_triton_pos": 1, "best_triton_time": 0.025599999353289604, "best_triton_kernel": "triton_mm_102", "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"} 2025-09-07T08:58:53.0533954Z AUTOTUNE addmm(512x1536, 512x1536, 1536x1536) 2025-09-07T08:58:53.0534338Z strides: [0, 1], [1536, 1], [1, 1536] 2025-09-07T08:58:53.0534729Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:58:53.0535108Z bias_addmm 0.0225 ms 100.0% 2025-09-07T08:58:53.0536130Z triton_mm_102 0.0256 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 2025-09-07T08:58:53.0537326Z triton_mm_98 0.0276 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:58:53.0538505Z triton_mm_101 0.0276 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:53.0539693Z triton_mm_99 0.0287 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:58:53.0540877Z triton_mm_104 0.0287 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:53.0541642Z addmm 0.0297 ms 75.9% 2025-09-07T08:58:53.0542357Z triton_mm_107 0.0348 ms 64.7% 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 2025-09-07T08:58:53.0543552Z triton_mm_100 0.0358 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 2025-09-07T08:58:53.0544848Z triton_mm_103 0.0358 ms 62.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:53.0545894Z SingleProcess AUTOTUNE benchmarking takes 0.3297 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:58:53.5677173Z Autotune Choices Stats: 2025-09-07T08:58:53.5678738Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.06348799914121628, "best_triton_pos": 1, "best_triton_time": 0.07680000364780426, "best_triton_kernel": "triton_mm_135", "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"} 2025-09-07T08:58:53.5700621Z AUTOTUNE addmm(512x1536, 512x6144, 6144x1536) 2025-09-07T08:58:53.5700992Z strides: [0, 1], [6144, 1], [1, 6144] 2025-09-07T08:58:53.5701355Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:58:53.5701719Z bias_addmm 0.0635 ms 100.0% 2025-09-07T08:58:53.5702458Z triton_mm_135 0.0768 ms 82.7% 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 2025-09-07T08:58:53.5703665Z triton_mm_138 0.0768 ms 82.7% 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 2025-09-07T08:58:53.5704810Z addmm 0.0799 ms 79.5% 2025-09-07T08:58:53.5705531Z triton_mm_134 0.0850 ms 74.7% 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 2025-09-07T08:58:53.5706922Z triton_mm_137 0.0870 ms 72.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:53.5708113Z triton_mm_140 0.0891 ms 71.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:53.5709319Z triton_mm_143 0.1085 ms 58.5% 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 2025-09-07T08:58:53.5710686Z triton_mm_144 0.1167 ms 54.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:58:53.5711888Z triton_mm_139 0.1188 ms 53.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:53.5712929Z SingleProcess AUTOTUNE benchmarking takes 0.5144 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T08:58:54.0497087Z Autotune Choices Stats: 2025-09-07T08:58:54.0498277Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_3484", "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": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T08:58:54.0521175Z AUTOTUNE mm(512x1536, 1536x2) 2025-09-07T08:58:54.0521482Z strides: [1536, 1], [1, 1536] 2025-09-07T08:58:54.0521808Z dtypes: torch.float16, torch.float16 2025-09-07T08:58:54.0522599Z triton_mm_3484 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:58:54.0523841Z triton_mm_3490 0.0123 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=4, num_warps=4 2025-09-07T08:58:54.0525046Z triton_mm_3482 0.0164 ms 75.0% 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 2025-09-07T08:58:54.0526239Z triton_mm_3495 0.0164 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:58:54.0527436Z triton_mm_3483 0.0174 ms 70.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:58:54.0528649Z triton_mm_3487 0.0174 ms 70.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:54.0529854Z triton_mm_3481 0.0184 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:58:54.0530609Z mm 0.0195 ms 63.2% 2025-09-07T08:58:54.0531312Z triton_mm_3494 0.0195 ms 63.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:54.0532497Z triton_mm_3489 0.0205 ms 60.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:58:54.0533766Z SingleProcess AUTOTUNE benchmarking takes 0.2454 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T08:59:25.3553114Z Autotune Choices Stats: 2025-09-07T08:59:25.3554650Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.055296000093221664, "best_triton_pos": 1, "best_triton_time": 0.05632000043988228, "best_triton_kernel": "triton_mm_3562", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:59:25.3577182Z AUTOTUNE mm(1536x512, 512x6144) 2025-09-07T08:59:25.3577503Z strides: [1, 1536], [6144, 1] 2025-09-07T08:59:25.3577810Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:25.3578124Z mm 0.0553 ms 100.0% 2025-09-07T08:59:25.3578828Z triton_mm_3562 0.0563 ms 98.2% 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 2025-09-07T08:59:25.3580383Z triton_mm_3563 0.0584 ms 94.7% 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 2025-09-07T08:59:25.3581604Z triton_mm_3556 0.0614 ms 90.0% 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 2025-09-07T08:59:25.3582814Z triton_mm_3558 0.0625 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 2025-09-07T08:59:25.3584018Z triton_mm_3559 0.0645 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:25.3585311Z triton_mm_3557 0.0707 ms 78.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:25.3586532Z triton_mm_3560 0.0707 ms 78.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:25.3587921Z triton_mm_3564 0.0707 ms 78.3% 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 2025-09-07T08:59:25.3589137Z triton_mm_3561 0.0768 ms 72.0% 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 2025-09-07T08:59:25.3590185Z SingleProcess AUTOTUNE benchmarking takes 0.4064 seconds and 0.0007 seconds precompiling for 19 choices 2025-09-07T08:59:25.9988656Z Autotune Choices Stats: 2025-09-07T08:59:25.9990219Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.055296000093221664, "best_triton_pos": 1, "best_triton_time": 0.055296000093221664, "best_triton_kernel": "triton_mm_3598", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:59:26.0012545Z AUTOTUNE mm(6144x512, 512x1536) 2025-09-07T08:59:26.0012860Z strides: [1, 6144], [1536, 1] 2025-09-07T08:59:26.0013169Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:26.0013471Z mm 0.0553 ms 100.0% 2025-09-07T08:59:26.0014203Z triton_mm_3598 0.0553 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:26.0015439Z triton_mm_3599 0.0573 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:26.0016663Z triton_mm_3594 0.0625 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 2025-09-07T08:59:26.0018250Z triton_mm_3595 0.0625 ms 88.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:26.0019451Z triton_mm_3592 0.0635 ms 87.1% 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 2025-09-07T08:59:26.0020635Z triton_mm_3596 0.0696 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 2025-09-07T08:59:26.0021846Z triton_mm_3600 0.0696 ms 79.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:59:26.0023061Z triton_mm_3593 0.0717 ms 77.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:26.0024518Z triton_mm_3597 0.0737 ms 75.0% 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 2025-09-07T08:59:26.0025592Z SingleProcess AUTOTUNE benchmarking takes 0.4054 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:59:26.9700589Z Autotune Choices Stats: 2025-09-07T08:59:26.9702108Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.04915200173854828, "best_triton_pos": 1, "best_triton_time": 0.05427199974656105, "best_triton_kernel": "triton_mm_3545", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:59:26.9725020Z AUTOTUNE mm(512x1536, 1536x6144) 2025-09-07T08:59:26.9725372Z strides: [1536, 1], [6144, 1] 2025-09-07T08:59:26.9725686Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:26.9726010Z mm 0.0492 ms 100.0% 2025-09-07T08:59:26.9726727Z triton_mm_3545 0.0543 ms 90.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:26.9727936Z triton_mm_3544 0.0584 ms 84.2% 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 2025-09-07T08:59:26.9729154Z triton_mm_3538 0.0594 ms 82.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:26.9730358Z triton_mm_3540 0.0614 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:26.9731571Z triton_mm_3546 0.0635 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=5, num_warps=8 2025-09-07T08:59:26.9732778Z triton_mm_3541 0.0676 ms 72.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:26.9733975Z triton_mm_3539 0.0686 ms 71.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:26.9735166Z triton_mm_3542 0.0737 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=4, num_warps=8 2025-09-07T08:59:26.9736375Z triton_mm_3543 0.0748 ms 65.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T08:59:26.9737744Z SingleProcess AUTOTUNE benchmarking takes 0.3976 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:59:28.0907543Z Autotune Choices Stats: 2025-09-07T08:59:28.0909056Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.02252800017595291, "best_triton_pos": 1, "best_triton_time": 0.02252800017595291, "best_triton_kernel": "triton_mm_3771", "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"} 2025-09-07T08:59:28.0931154Z AUTOTUNE mm(1536x512, 512x1536) 2025-09-07T08:59:28.0931478Z strides: [512, 1], [1536, 1] 2025-09-07T08:59:28.0931782Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:28.0932083Z mm 0.0225 ms 100.0% 2025-09-07T08:59:28.0932813Z triton_mm_3771 0.0225 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 2025-09-07T08:59:28.0937435Z triton_mm_3773 0.0225 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 2025-09-07T08:59:28.0938808Z triton_mm_3774 0.0225 ms 100.0% 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 2025-09-07T08:59:28.0940034Z triton_mm_3777 0.0225 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:28.0941253Z triton_mm_3772 0.0246 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 2025-09-07T08:59:28.0942452Z triton_mm_3778 0.0246 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:28.0943678Z triton_mm_3775 0.0256 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 2025-09-07T08:59:28.0944999Z triton_mm_3768 0.0276 ms 81.5% 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 2025-09-07T08:59:28.0946205Z triton_mm_3779 0.0276 ms 81.5% 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 2025-09-07T08:59:28.0947387Z SingleProcess AUTOTUNE benchmarking takes 0.2773 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:59:28.6901892Z Autotune Choices Stats: 2025-09-07T08:59:28.6903449Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.021503999829292297, "best_triton_pos": 1, "best_triton_time": 0.021503999829292297, "best_triton_kernel": "triton_mm_3628", "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"} 2025-09-07T08:59:28.6927677Z AUTOTUNE mm(1536x512, 512x1536) 2025-09-07T08:59:28.6928033Z strides: [1, 1536], [1536, 1] 2025-09-07T08:59:28.6928349Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:28.6928655Z mm 0.0215 ms 100.0% 2025-09-07T08:59:28.6929393Z triton_mm_3628 0.0215 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 2025-09-07T08:59:28.6930630Z triton_mm_3630 0.0225 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:28.6931858Z triton_mm_3631 0.0225 ms 95.5% 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 2025-09-07T08:59:28.6933417Z triton_mm_3634 0.0236 ms 91.3% 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 2025-09-07T08:59:28.6934629Z triton_mm_3629 0.0246 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:28.6935825Z triton_mm_3632 0.0246 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:28.6937039Z triton_mm_3635 0.0246 ms 87.5% 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 2025-09-07T08:59:28.6938393Z triton_mm_3625 0.0287 ms 75.0% 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 2025-09-07T08:59:28.6939592Z triton_mm_3626 0.0287 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 2025-09-07T08:59:28.6940635Z SingleProcess AUTOTUNE benchmarking takes 0.2808 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:59:29.7286019Z Autotune Choices Stats: 2025-09-07T08:59:29.7287227Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_3520", "best_kernel_desc": "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", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T08:59:29.7310877Z AUTOTUNE mm(2x512, 512x1536) 2025-09-07T08:59:29.7311224Z strides: [1, 2], [1536, 1] 2025-09-07T08:59:29.7311524Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:29.7312318Z triton_mm_3520 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:59:29.7313540Z triton_mm_3514 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:59:29.7314723Z triton_mm_3515 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:59:29.7315922Z triton_mm_3516 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:59:29.7317136Z triton_mm_3519 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:29.7318359Z triton_mm_3524 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:59:29.7319568Z triton_mm_3528 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:59:29.7320772Z triton_mm_3513 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:59:29.7321958Z triton_mm_3522 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:29.7323160Z triton_mm_3523 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:29.7324521Z SingleProcess AUTOTUNE benchmarking takes 0.2277 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T08:59:31.0886992Z Autotune Choices Stats: 2025-09-07T08:59:31.0888230Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_3496", "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": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T08:59:31.0911945Z AUTOTUNE mm(512x2, 2x1536) 2025-09-07T08:59:31.0912249Z strides: [2, 1], [1536, 1] 2025-09-07T08:59:31.0912541Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:31.0913314Z triton_mm_3496 0.0082 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 2025-09-07T08:59:31.0914901Z triton_mm_3497 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:59:31.0916122Z triton_mm_3498 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:59:31.0917337Z triton_mm_3499 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:59:31.0918547Z triton_mm_3500 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:59:31.0919761Z triton_mm_3501 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:59:31.0920982Z triton_mm_3502 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:59:31.0922180Z triton_mm_3503 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:59:31.0923404Z triton_mm_3504 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:31.0924629Z triton_mm_3505 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:31.0925681Z SingleProcess AUTOTUNE benchmarking takes 0.2064 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T08:59:31.5616181Z Autotune Choices Stats: 2025-09-07T08:59:31.5617677Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.07168000191450119, "best_triton_pos": 1, "best_triton_time": 0.07475200295448303, "best_triton_kernel": "triton_mm_3576", "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"} 2025-09-07T08:59:31.5642153Z AUTOTUNE mm(512x6144, 6144x1536) 2025-09-07T08:59:31.5642503Z strides: [6144, 1], [1536, 1] 2025-09-07T08:59:31.5642812Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:31.5643115Z mm 0.0717 ms 100.0% 2025-09-07T08:59:31.5643840Z triton_mm_3576 0.0748 ms 95.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:31.5645080Z triton_mm_3573 0.0809 ms 88.6% 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 2025-09-07T08:59:31.5646547Z triton_mm_3572 0.0829 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 2025-09-07T08:59:31.5647748Z triton_mm_3575 0.0891 ms 80.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:31.5648949Z triton_mm_3578 0.0932 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:31.5650151Z triton_mm_3582 0.1055 ms 68.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:59:31.5651514Z triton_mm_3569 0.1116 ms 64.2% 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 2025-09-07T08:59:31.5652721Z triton_mm_3574 0.1126 ms 63.6% 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 2025-09-07T08:59:31.5653943Z triton_mm_3581 0.1147 ms 62.5% 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 2025-09-07T08:59:31.5655000Z SingleProcess AUTOTUNE benchmarking takes 0.4714 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:59:31.8539865Z Autotune Choices Stats: 2025-09-07T08:59:31.8541353Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.021503999829292297, "best_triton_pos": 1, "best_triton_time": 0.02457600086927414, "best_triton_kernel": "triton_mm_3612", "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"} 2025-09-07T08:59:31.8565695Z AUTOTUNE mm(512x1536, 1536x1536) 2025-09-07T08:59:31.8566023Z strides: [1536, 1], [1536, 1] 2025-09-07T08:59:31.8566341Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:31.8566654Z mm 0.0215 ms 100.0% 2025-09-07T08:59:31.8567369Z triton_mm_3612 0.0246 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 2025-09-07T08:59:31.8568578Z triton_mm_3614 0.0256 ms 84.0% 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 2025-09-07T08:59:31.8569765Z triton_mm_3608 0.0266 ms 80.8% 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 2025-09-07T08:59:31.8570986Z triton_mm_3611 0.0266 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 2025-09-07T08:59:31.8572180Z triton_mm_3609 0.0287 ms 75.0% 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 2025-09-07T08:59:31.8573372Z triton_mm_3610 0.0328 ms 65.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:31.8574583Z triton_mm_3618 0.0338 ms 63.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:59:31.8575795Z triton_mm_3613 0.0348 ms 61.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:31.8577260Z triton_mm_3617 0.0358 ms 60.0% 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 2025-09-07T08:59:31.8578313Z SingleProcess AUTOTUNE benchmarking takes 0.2908 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:59:32.1166373Z Autotune Choices Stats: 2025-09-07T08:59:32.1167558Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_3650", "best_kernel_desc": "ACC_TYPE='tl.float32', 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", "best_time": 0.023552000522613525, "best_triton_pos": 0} 2025-09-07T08:59:32.1194346Z AUTOTUNE bmm(24x512x512, 24x512x64) 2025-09-07T08:59:32.1194724Z strides: [262144, 1, 512], [64, 1536, 1] 2025-09-07T08:59:32.1195053Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:32.1196165Z triton_bmm_3650 0.0236 ms 100.0% 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 2025-09-07T08:59:32.1197422Z triton_bmm_3651 0.0236 ms 100.0% 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 2025-09-07T08:59:32.1198648Z triton_bmm_3644 0.0246 ms 95.8% 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 2025-09-07T08:59:32.1199856Z triton_bmm_3646 0.0246 ms 95.8% 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 2025-09-07T08:59:32.1201058Z triton_bmm_3647 0.0246 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:32.1202243Z triton_bmm_3648 0.0246 ms 95.8% 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=4 2025-09-07T08:59:32.1203453Z triton_bmm_3653 0.0246 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:32.1204665Z triton_bmm_3654 0.0246 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:59:32.1205872Z triton_bmm_3645 0.0256 ms 92.0% 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 2025-09-07T08:59:32.1207082Z triton_bmm_3649 0.0256 ms 92.0% 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 2025-09-07T08:59:32.1208137Z SingleProcess AUTOTUNE benchmarking takes 0.2613 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:59:32.3881459Z Autotune Choices Stats: 2025-09-07T08:59:32.3882623Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_3662", "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": 0.01945599913597107, "best_triton_pos": 0} 2025-09-07T08:59:32.3908749Z AUTOTUNE bmm(24x512x64, 24x64x512) 2025-09-07T08:59:32.3909081Z strides: [64, 1536, 1], [32768, 1, 64] 2025-09-07T08:59:32.3909409Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:32.3910183Z triton_bmm_3662 0.0195 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 2025-09-07T08:59:32.3911660Z triton_bmm_3663 0.0195 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 2025-09-07T08:59:32.3912879Z triton_bmm_3666 0.0195 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 2025-09-07T08:59:32.3914100Z triton_bmm_3664 0.0205 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=3, num_warps=4 2025-09-07T08:59:32.3915321Z triton_bmm_3667 0.0205 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=4, num_warps=4 2025-09-07T08:59:32.3916523Z triton_bmm_3665 0.0215 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:32.3917861Z triton_bmm_3668 0.0215 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=3, num_warps=4 2025-09-07T08:59:32.3919083Z triton_bmm_3671 0.0215 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:32.3920274Z triton_bmm_3659 0.0225 ms 86.4% 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 2025-09-07T08:59:32.3921474Z triton_bmm_3661 0.0225 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:59:32.3922517Z SingleProcess AUTOTUNE benchmarking takes 0.2709 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:59:32.6233538Z Autotune Choices Stats: 2025-09-07T08:59:32.6234735Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_bmm_3681", "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": 0.02457600086927414, "best_triton_pos": 0} 2025-09-07T08:59:32.6261618Z AUTOTUNE bmm(24x64x512, 24x512x512) 2025-09-07T08:59:32.6261968Z strides: [32768, 1, 64], [262144, 512, 1] 2025-09-07T08:59:32.6262299Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:32.6263087Z triton_bmm_3681 0.0246 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 2025-09-07T08:59:32.6264374Z triton_bmm_3683 0.0246 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 2025-09-07T08:59:32.6265616Z triton_bmm_3684 0.0246 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:32.6267045Z triton_bmm_3685 0.0246 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 2025-09-07T08:59:32.6268270Z triton_bmm_3686 0.0246 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:32.6269476Z triton_bmm_3687 0.0246 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:32.6270696Z triton_bmm_3682 0.0256 ms 96.0% 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 2025-09-07T08:59:32.6272129Z triton_bmm_3689 0.0256 ms 96.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:59:32.6272892Z bmm 0.0266 ms 92.3% 2025-09-07T08:59:32.6273601Z triton_bmm_3675 0.0276 ms 88.9% 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 2025-09-07T08:59:32.6274664Z SingleProcess AUTOTUNE benchmarking takes 0.2348 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T08:59:32.9195016Z Autotune Choices Stats: 2025-09-07T08:59:32.9196481Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.021503999829292297, "best_triton_pos": 1, "best_triton_time": 0.02457600086927414, "best_triton_kernel": "triton_mm_3755", "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"} 2025-09-07T08:59:32.9222912Z AUTOTUNE mm(512x1536, 1536x1536) 2025-09-07T08:59:32.9223563Z strides: [1, 512], [1536, 1] 2025-09-07T08:59:32.9223874Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:32.9224189Z mm 0.0215 ms 100.0% 2025-09-07T08:59:32.9224962Z triton_mm_3755 0.0246 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 2025-09-07T08:59:32.9226185Z triton_mm_3754 0.0266 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 2025-09-07T08:59:32.9227582Z triton_mm_3757 0.0266 ms 80.8% 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 2025-09-07T08:59:32.9228784Z triton_mm_3751 0.0276 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 2025-09-07T08:59:32.9229993Z triton_mm_3752 0.0276 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:59:32.9231190Z triton_mm_3753 0.0328 ms 65.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:32.9232378Z triton_mm_3756 0.0338 ms 63.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:32.9233569Z triton_mm_3760 0.0338 ms 63.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:32.9234789Z triton_mm_3761 0.0358 ms 60.0% 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 2025-09-07T08:59:32.9235845Z SingleProcess AUTOTUNE benchmarking takes 0.2926 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:59:41.1419610Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:59:41.1420971Z pred = mod(**cloned_inputs) 2025-09-07T08:59:41.1421723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 1231, in forward 2025-09-07T08:59:41.1422481Z outputs = self.deberta( 2025-09-07T08:59:41.1423202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 778, in forward 2025-09-07T08:59:41.1424456Z embedding_output = self.embeddings( 2025-09-07T08:59:41.1425231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 544, in forward 2025-09-07T08:59:41.1426116Z position_embeddings = self.position_embeddings(position_ids.long()) 2025-09-07T08:59:41.1426468Z 2025-09-07T08:59:41.1426474Z 2025-09-07T08:59:43.1376568Z pass 2025-09-07T08:59:49.8859628Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:59:49.8861066Z import pynvml # type: ignore[import] 2025-09-07T08:59:53.2387644Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:59:53.2389323Z from pkg_resources import resource_filename 2025-09-07T08:59:54.3482113Z 2025-09-07T08:59:56.0169603Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:59:56.0169953Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:59:56.0170294Z cuda train DistilBertForMaskedLM 2025-09-07T09:00:11.0165993Z Autotune Choices Stats: 2025-09-07T09:00:11.0167205Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_80", "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": 0.015359999611973763, "best_triton_pos": 0} 2025-09-07T09:00:11.0195911Z AUTOTUNE addmm(128x3072, 128x768, 768x3072) 2025-09-07T09:00:11.0196286Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T09:00:11.0196685Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:00:11.0197523Z triton_mm_80 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=5, num_warps=4 2025-09-07T09:00:11.0198281Z bias_addmm 0.0164 ms 93.7% 2025-09-07T09:00:11.0199006Z triton_mm_79 0.0164 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:00:11.0200180Z triton_mm_74 0.0184 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:11.0201357Z triton_mm_75 0.0184 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:11.0202539Z triton_mm_76 0.0184 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:11.0203743Z triton_mm_83 0.0184 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:11.0204917Z triton_mm_73 0.0195 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 2025-09-07T09:00:11.0206096Z triton_mm_82 0.0195 ms 78.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:11.0207276Z triton_mm_85 0.0195 ms 78.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:11.0208645Z SingleProcess AUTOTUNE benchmarking takes 0.3019 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T09:00:12.3669425Z Autotune Choices Stats: 2025-09-07T09:00:12.3670984Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.011264000087976456, "best_triton_pos": 1, "best_triton_time": 0.011264000087976456, "best_triton_kernel": "triton_mm_4", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T09:00:12.3697481Z AUTOTUNE addmm(128x768, 128x768, 768x768) 2025-09-07T09:00:12.3697869Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T09:00:12.3698237Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:00:12.3698604Z bias_addmm 0.0113 ms 100.0% 2025-09-07T09:00:12.3699358Z triton_mm_4 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:12.3700911Z triton_mm_1 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:00:12.3702095Z triton_mm_2 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:12.3703277Z triton_mm_3 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:12.3704562Z triton_mm_8 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:12.3705728Z triton_mm_7 0.0143 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 2025-09-07T09:00:12.3707118Z triton_mm_11 0.0164 ms 68.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:12.3707872Z addmm 0.0174 ms 64.7% 2025-09-07T09:00:12.3708579Z triton_mm_10 0.0174 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 2025-09-07T09:00:12.3709617Z SingleProcess AUTOTUNE benchmarking takes 0.2889 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:00:12.6293696Z Autotune Choices Stats: 2025-09-07T09:00:12.6294883Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_58", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T09:00:12.6323948Z AUTOTUNE mm(128x768, 768x768) 2025-09-07T09:00:12.6324276Z strides: [768, 1], [1, 768] 2025-09-07T09:00:12.6324592Z dtypes: torch.float16, torch.float16 2025-09-07T09:00:12.6325356Z triton_mm_58 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:12.6326115Z mm 0.0123 ms 91.7% 2025-09-07T09:00:12.6326815Z triton_mm_62 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:12.6327995Z triton_mm_55 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:00:12.6329178Z triton_mm_56 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:12.6330646Z triton_mm_57 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:12.6331804Z triton_mm_61 0.0143 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 2025-09-07T09:00:12.6332984Z triton_mm_65 0.0154 ms 73.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:12.6334167Z triton_mm_64 0.0164 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 2025-09-07T09:00:12.6335347Z triton_mm_67 0.0164 ms 68.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:12.6336529Z SingleProcess AUTOTUNE benchmarking takes 0.2593 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:00:12.9936781Z Autotune Choices Stats: 2025-09-07T09:00:12.9938258Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.021503999829292297, "best_triton_pos": 1, "best_triton_time": 0.02457600086927414, "best_triton_kernel": "triton_mm_98", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T09:00:12.9966079Z AUTOTUNE addmm(128x768, 128x3072, 3072x768) 2025-09-07T09:00:12.9966489Z strides: [0, 1], [3072, 1], [1, 3072] 2025-09-07T09:00:12.9966857Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:00:12.9967240Z bias_addmm 0.0215 ms 100.0% 2025-09-07T09:00:12.9967992Z triton_mm_98 0.0246 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:12.9968762Z addmm 0.0256 ms 84.0% 2025-09-07T09:00:12.9969471Z triton_mm_94 0.0266 ms 80.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:12.9970662Z triton_mm_91 0.0307 ms 70.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:00:12.9971842Z triton_mm_92 0.0307 ms 70.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:12.9973001Z triton_mm_93 0.0307 ms 70.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:12.9974193Z triton_mm_97 0.0358 ms 60.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:00:12.9975374Z triton_mm_101 0.0399 ms 53.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:12.9976568Z triton_mm_100 0.0451 ms 47.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:12.9977605Z SingleProcess AUTOTUNE benchmarking takes 0.3636 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:00:13.4531812Z Autotune Choices Stats: 2025-09-07T09:00:13.4532986Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_677", "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": 0.07065600156784058, "best_triton_pos": 0} 2025-09-07T09:00:13.4561505Z AUTOTUNE addmm(128x30522, 128x768, 768x30522) 2025-09-07T09:00:13.4561893Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T09:00:13.4562253Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:00:13.4563077Z triton_mm_677 0.0707 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:13.4564285Z triton_mm_673 0.0717 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:00:13.4565480Z triton_mm_682 0.0748 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=3, num_warps=4 2025-09-07T09:00:13.4566929Z triton_mm_683 0.0768 ms 92.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:13.4568138Z triton_mm_679 0.0788 ms 89.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:13.4569333Z triton_mm_675 0.0809 ms 87.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:13.4570521Z triton_mm_676 0.0809 ms 87.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:13.4571696Z triton_mm_678 0.0809 ms 87.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:13.4572895Z triton_mm_674 0.0819 ms 86.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:13.4574095Z triton_mm_681 0.0891 ms 79.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:13.4575131Z SingleProcess AUTOTUNE benchmarking takes 0.4265 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:00:22.8172989Z Autotune Choices Stats: 2025-09-07T09:00:22.8174514Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.060416001826524734, "best_triton_pos": 1, "best_triton_time": 0.062463998794555664, "best_triton_kernel": "triton_mm_717", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:00:22.8203377Z AUTOTUNE mm(30522x128, 128x768) 2025-09-07T09:00:22.8203788Z strides: [1, 30528], [768, 1] 2025-09-07T09:00:22.8204103Z dtypes: torch.float16, torch.float16 2025-09-07T09:00:22.8204421Z mm 0.0604 ms 100.0% 2025-09-07T09:00:22.8205156Z triton_mm_717 0.0625 ms 96.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:22.8206366Z triton_mm_711 0.0645 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:22.8207563Z triton_mm_714 0.0727 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=3, num_warps=4 2025-09-07T09:00:22.8208746Z triton_mm_718 0.0727 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 2025-09-07T09:00:22.8212975Z triton_mm_713 0.0737 ms 81.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:22.8221328Z triton_mm_710 0.0748 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 2025-09-07T09:00:22.8222567Z triton_mm_716 0.0748 ms 80.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T09:00:22.8223781Z triton_mm_712 0.0768 ms 78.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:22.8225102Z triton_mm_708 0.0819 ms 73.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:00:22.8226430Z SingleProcess AUTOTUNE benchmarking takes 0.4075 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:00:23.3430578Z Autotune Choices Stats: 2025-09-07T09:00:23.3431795Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_783", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T09:00:23.3462813Z AUTOTUNE mm(768x128, 128x3072) 2025-09-07T09:00:23.3463121Z strides: [1, 768], [3072, 1] 2025-09-07T09:00:23.3463414Z dtypes: torch.float16, torch.float16 2025-09-07T09:00:23.3464199Z triton_mm_783 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:23.3465516Z triton_mm_786 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:23.3466925Z triton_mm_789 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:23.3467697Z mm 0.0143 ms 92.9% 2025-09-07T09:00:23.3468386Z triton_mm_780 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:00:23.3469583Z triton_mm_784 0.0143 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=4, num_warps=8 2025-09-07T09:00:23.3470784Z triton_mm_785 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:23.3471991Z triton_mm_787 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:23.3473191Z triton_mm_788 0.0143 ms 92.9% 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 2025-09-07T09:00:23.3474388Z triton_mm_781 0.0154 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 2025-09-07T09:00:23.3475428Z SingleProcess AUTOTUNE benchmarking takes 0.2441 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:00:23.6110019Z Autotune Choices Stats: 2025-09-07T09:00:23.6111228Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_819", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T09:00:23.6142416Z AUTOTUNE mm(3072x128, 128x768) 2025-09-07T09:00:23.6142727Z strides: [1, 3072], [768, 1] 2025-09-07T09:00:23.6143031Z dtypes: torch.float16, torch.float16 2025-09-07T09:00:23.6143810Z triton_mm_819 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:23.6145131Z triton_mm_822 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:23.6146345Z triton_mm_816 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:00:23.6147943Z triton_mm_820 0.0143 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=4, num_warps=8 2025-09-07T09:00:23.6149131Z triton_mm_821 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:23.6150328Z triton_mm_823 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:23.6151528Z triton_mm_824 0.0143 ms 92.9% 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 2025-09-07T09:00:23.6152728Z triton_mm_825 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:23.6153491Z mm 0.0154 ms 86.7% 2025-09-07T09:00:23.6154195Z triton_mm_818 0.0154 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:23.6155221Z SingleProcess AUTOTUNE benchmarking takes 0.2457 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:00:23.9747582Z Autotune Choices Stats: 2025-09-07T09:00:23.9748790Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_748", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T09:00:23.9780246Z AUTOTUNE mm(768x128, 128x768) 2025-09-07T09:00:23.9780617Z strides: [1, 768], [768, 1] 2025-09-07T09:00:23.9780903Z dtypes: torch.float16, torch.float16 2025-09-07T09:00:23.9781731Z triton_mm_748 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:23.9782949Z triton_mm_749 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:23.9784162Z triton_mm_750 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:23.9785443Z triton_mm_751 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:23.9786187Z mm 0.0102 ms 90.0% 2025-09-07T09:00:23.9786985Z triton_mm_745 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:00:23.9788524Z triton_mm_746 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:23.9789718Z triton_mm_747 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:23.9790916Z triton_mm_753 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:23.9792120Z triton_mm_739 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:00:23.9793156Z SingleProcess AUTOTUNE benchmarking takes 0.2335 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:00:24.5261608Z Autotune Choices Stats: 2025-09-07T09:00:24.5263071Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_764", "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": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T09:00:24.5295718Z AUTOTUNE mm(128x768, 768x3072) 2025-09-07T09:00:24.5296078Z strides: [768, 1], [3072, 1] 2025-09-07T09:00:24.5296373Z dtypes: torch.float16, torch.float16 2025-09-07T09:00:24.5297165Z triton_mm_764 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:24.5297932Z mm 0.0154 ms 93.3% 2025-09-07T09:00:24.5298629Z triton_mm_763 0.0164 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 2025-09-07T09:00:24.5299847Z triton_mm_758 0.0174 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:24.5301022Z triton_mm_760 0.0174 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:24.5302215Z triton_mm_767 0.0174 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:24.5303417Z triton_mm_757 0.0184 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:00:24.5304670Z triton_mm_759 0.0184 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:24.5305867Z triton_mm_766 0.0184 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:24.5307259Z triton_mm_769 0.0184 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:24.5308302Z SingleProcess AUTOTUNE benchmarking takes 0.2584 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:00:26.9746316Z Autotune Choices Stats: 2025-09-07T09:00:26.9748135Z {"num_choices": 22, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.08499199897050858, "best_triton_pos": 1, "best_triton_time": 0.23654399812221527, "best_triton_kernel": "triton_mm_688", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T09:00:26.9785772Z AUTOTUNE mm(128x30522, 30522x768) 2025-09-07T09:00:26.9786109Z strides: [30528, 1], [768, 1] 2025-09-07T09:00:26.9786420Z dtypes: torch.float16, torch.float16 2025-09-07T09:00:26.9786813Z mm 0.0850 ms 100.0% 2025-09-07T09:00:26.9787531Z triton_mm_688 0.2365 ms 35.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:26.9788359Z decompose_k_mm_3_split_1 0.2458 ms 34.6% k_split=3 2025-09-07T09:00:26.9789183Z triton_mm_686 0.2540 ms 33.5% 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 2025-09-07T09:00:26.9790396Z triton_mm_692 0.2867 ms 29.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:26.9791779Z triton_mm_685 0.2898 ms 29.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:00:26.9792991Z triton_mm_691 0.3348 ms 25.4% 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 2025-09-07T09:00:26.9794192Z triton_mm_695 0.3830 ms 22.2% 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 2025-09-07T09:00:26.9795005Z decompose_k_mm_6_split_2 0.3850 ms 22.1% k_split=6 2025-09-07T09:00:26.9795811Z triton_mm_687 0.3891 ms 21.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:26.9796856Z SingleProcess AUTOTUNE benchmarking takes 1.2028 seconds and 0.0002 seconds precompiling for 22 choices 2025-09-07T09:00:27.2280201Z Autotune Choices Stats: 2025-09-07T09:00:27.2281371Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_724", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T09:00:27.2314259Z AUTOTUNE mm(128x768, 768x768) 2025-09-07T09:00:27.2314580Z strides: [768, 1], [768, 1] 2025-09-07T09:00:27.2314918Z dtypes: torch.float16, torch.float16 2025-09-07T09:00:27.2315696Z triton_mm_724 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:27.2316446Z mm 0.0123 ms 91.7% 2025-09-07T09:00:27.2317152Z triton_mm_728 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:27.2318361Z triton_mm_722 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:27.2319548Z triton_mm_723 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:27.2320733Z triton_mm_721 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:00:27.2321920Z triton_mm_727 0.0143 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 2025-09-07T09:00:27.2323103Z triton_mm_731 0.0154 ms 73.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:27.2324526Z triton_mm_730 0.0164 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 2025-09-07T09:00:27.2325716Z triton_mm_733 0.0174 ms 64.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:27.2326761Z SingleProcess AUTOTUNE benchmarking takes 0.2516 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:00:27.5582821Z Autotune Choices Stats: 2025-09-07T09:00:27.5584070Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_796", "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": 0.01945599913597107, "best_triton_pos": 0} 2025-09-07T09:00:27.5619371Z AUTOTUNE mm(128x3072, 3072x768) 2025-09-07T09:00:27.5619737Z strides: [3072, 1], [768, 1] 2025-09-07T09:00:27.5620274Z dtypes: torch.float16, torch.float16 2025-09-07T09:00:27.5621073Z triton_mm_796 0.0195 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:27.5621837Z mm 0.0205 ms 95.0% 2025-09-07T09:00:27.5622555Z triton_mm_800 0.0246 ms 79.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:27.5623747Z triton_mm_794 0.0287 ms 67.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:27.5624982Z triton_mm_795 0.0297 ms 65.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:27.5626178Z triton_mm_793 0.0338 ms 57.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:00:27.5627529Z triton_mm_799 0.0348 ms 55.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:00:27.5628729Z triton_mm_803 0.0379 ms 51.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:27.5629923Z triton_mm_802 0.0461 ms 42.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:27.5631119Z triton_mm_805 0.0492 ms 39.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:27.5632172Z SingleProcess AUTOTUNE benchmarking takes 0.3299 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:00:29.8051489Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T09:00:29.8052765Z pred = mod(**cloned_inputs) 2025-09-07T09:00:29.8053515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward 2025-09-07T09:00:29.8054302Z dlbrt_output = self.distilbert( 2025-09-07T09:00:29.8055059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 723, in forward 2025-09-07T09:00:29.8055992Z embeddings = self.embeddings(input_ids, inputs_embeds) # (bs, seq_length, dim) 2025-09-07T09:00:29.8057273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 124, in forward 2025-09-07T09:00:29.8058231Z position_embeddings = self.position_embeddings(position_ids) # (bs, max_seq_length, dim) 2025-09-07T09:00:29.8058681Z 2025-09-07T09:00:29.8058685Z 2025-09-07T09:00:30.3824777Z W0907 09:00:30.381000 22606 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:00:47.1271655Z Run failed with return code: -11 2025-09-07T09:00:47.1272029Z Output: None 2025-09-07T09:00:47.1272258Z Error: None 2025-09-07T09:00:48.1827208Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:00:48.1828666Z import pynvml # type: ignore[import] 2025-09-07T09:00:51.5769703Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:00:51.5771317Z from pkg_resources import resource_filename 2025-09-07T09:00:52.7208332Z 2025-09-07T09:00:54.1597396Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:00:54.1597774Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:00:54.1598117Z cuda train DistilBertForQuestionAnswering 2025-09-07T09:01:08.4552350Z Autotune Choices Stats: 2025-09-07T09:01:08.4553571Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_652", "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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T09:01:08.4587388Z AUTOTUNE mm(128x768, 768x2) 2025-09-07T09:01:08.4587699Z strides: [768, 1], [1, 768] 2025-09-07T09:01:08.4587986Z dtypes: torch.float16, torch.float16 2025-09-07T09:01:08.4588765Z triton_mm_652 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:01:08.4589980Z triton_mm_658 0.0092 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=4, num_warps=4 2025-09-07T09:01:08.4591180Z triton_mm_650 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T09:01:08.4592361Z triton_mm_651 0.0113 ms 81.8% 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 2025-09-07T09:01:08.4593541Z triton_mm_655 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:01:08.4594726Z triton_mm_663 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:01:08.4595473Z mm 0.0123 ms 75.0% 2025-09-07T09:01:08.4596181Z triton_mm_649 0.0123 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T09:01:08.4597355Z triton_mm_657 0.0123 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:01:08.4598919Z triton_mm_662 0.0123 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:01:08.4599967Z SingleProcess AUTOTUNE benchmarking takes 0.2307 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T09:01:15.7665630Z Autotune Choices Stats: 2025-09-07T09:01:15.7667046Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_681", "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=2, num_warps=2", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T09:01:15.7701707Z AUTOTUNE mm(2x128, 128x768) 2025-09-07T09:01:15.7702023Z strides: [1, 2], [768, 1] 2025-09-07T09:01:15.7702333Z dtypes: torch.float16, torch.float16 2025-09-07T09:01:15.7703121Z triton_mm_681 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T09:01:15.7704783Z triton_mm_682 0.0082 ms 100.0% 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 2025-09-07T09:01:15.7706002Z triton_mm_683 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T09:01:15.7707293Z triton_mm_684 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T09:01:15.7708487Z triton_mm_687 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:01:15.7709685Z triton_mm_688 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:01:15.7710904Z triton_mm_689 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:01:15.7712106Z triton_mm_690 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:01:15.7713304Z triton_mm_691 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:01:15.7714499Z triton_mm_693 0.0082 ms 100.0% 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=3, num_warps=4 2025-09-07T09:01:15.7715525Z SingleProcess AUTOTUNE benchmarking takes 0.2199 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T09:01:16.4093469Z Autotune Choices Stats: 2025-09-07T09:01:16.4094689Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_664", "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": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T09:01:16.4127873Z AUTOTUNE mm(128x2, 2x768) 2025-09-07T09:01:16.4128180Z strides: [2, 1], [768, 1] 2025-09-07T09:01:16.4128467Z dtypes: torch.float16, torch.float16 2025-09-07T09:01:16.4129242Z triton_mm_664 0.0072 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 2025-09-07T09:01:16.4130453Z triton_mm_665 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:01:16.4132006Z triton_mm_666 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:01:16.4133215Z triton_mm_667 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:01:16.4134405Z triton_mm_668 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:01:16.4135609Z triton_mm_669 0.0072 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 2025-09-07T09:01:16.4136812Z triton_mm_670 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:01:16.4138167Z triton_mm_671 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:01:16.4139383Z triton_mm_672 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:01:16.4140603Z triton_mm_673 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:01:16.4141669Z SingleProcess AUTOTUNE benchmarking takes 0.2039 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T09:01:18.5712963Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T09:01:18.5714363Z pred = mod(**cloned_inputs) 2025-09-07T09:01:18.5715126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 1031, in forward 2025-09-07T09:01:18.5715921Z distilbert_output = self.distilbert( 2025-09-07T09:01:18.5716696Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 723, in forward 2025-09-07T09:01:18.5717610Z embeddings = self.embeddings(input_ids, inputs_embeds) # (bs, seq_length, dim) 2025-09-07T09:01:18.5718537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 124, in forward 2025-09-07T09:01:18.5719511Z position_embeddings = self.position_embeddings(position_ids) # (bs, max_seq_length, dim) 2025-09-07T09:01:18.5719959Z 2025-09-07T09:01:18.5719964Z 2025-09-07T09:01:18.9462143Z W0907 09:01:18.945000 25852 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:01:34.9046152Z Run failed with return code: -11 2025-09-07T09:01:34.9046541Z Output: None 2025-09-07T09:01:34.9046769Z Error: None 2025-09-07T09:01:36.0030930Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:01:36.0032349Z import pynvml # type: ignore[import] 2025-09-07T09:01:39.3733189Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:01:39.3735207Z from pkg_resources import resource_filename 2025-09-07T09:01:40.4881681Z 2025-09-07T09:01:43.7350822Z loading model: 0it [00:00, ?it/s]`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-09-07T09:01:43.7351912Z WARNING:transformers.modeling_utils:`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-09-07T09:01:43.8071548Z 2025-09-07T09:01:43.8071865Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:01:43.8072238Z cuda train DistillGPT2 2025-09-07T09:01:57.9143682Z Autotune Choices Stats: 2025-09-07T09:01:57.9145301Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.02252800017595291, "best_triton_pos": 1, "best_triton_time": 0.02252800017595291, "best_triton_kernel": "triton_mm_47", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:01:57.9181274Z AUTOTUNE addmm(512x3072, 512x768, 768x3072) 2025-09-07T09:01:57.9181631Z strides: [0, 1], [768, 1], [3072, 1] 2025-09-07T09:01:57.9181983Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:01:57.9182367Z bias_addmm 0.0225 ms 100.0% 2025-09-07T09:01:57.9183122Z triton_mm_47 0.0225 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:01:57.9184417Z triton_mm_53 0.0225 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:01:57.9185625Z triton_mm_45 0.0246 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:01:57.9186946Z triton_mm_48 0.0246 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:01:57.9188142Z triton_mm_52 0.0246 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:01:57.9189321Z triton_mm_46 0.0256 ms 88.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:01:57.9190524Z triton_mm_51 0.0256 ms 88.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:01:57.9191718Z triton_mm_49 0.0266 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 2025-09-07T09:01:57.9192472Z addmm 0.0307 ms 73.3% 2025-09-07T09:01:57.9193032Z SingleProcess AUTOTUNE benchmarking takes 0.3259 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T09:01:59.4506236Z Autotune Choices Stats: 2025-09-07T09:01:59.4507895Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.020479999482631683, "best_triton_pos": 1, "best_triton_time": 0.020479999482631683, "best_triton_kernel": "triton_mm_11", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:01:59.4542776Z AUTOTUNE mm(512x768, 768x2304) 2025-09-07T09:01:59.4543096Z strides: [768, 1], [2304, 1] 2025-09-07T09:01:59.4543417Z dtypes: torch.float16, torch.float16 2025-09-07T09:01:59.4543732Z mm 0.0205 ms 100.0% 2025-09-07T09:01:59.4544486Z triton_mm_11 0.0205 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:01:59.4546058Z triton_mm_16 0.0205 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:01:59.4547393Z triton_mm_17 0.0205 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:01:59.4548592Z triton_mm_7 0.0225 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:01:59.4549770Z triton_mm_9 0.0225 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:01:59.4551109Z triton_mm_12 0.0225 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:01:59.4552307Z triton_mm_10 0.0236 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:01:59.4553491Z triton_mm_15 0.0236 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:01:59.4554686Z triton_mm_13 0.0246 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:01:59.4555732Z SingleProcess AUTOTUNE benchmarking takes 0.2770 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:01:59.7429266Z Autotune Choices Stats: 2025-09-07T09:01:59.7430835Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.014336000196635723, "best_triton_pos": 1, "best_triton_time": 0.014336000196635723, "best_triton_kernel": "triton_mm_26", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T09:01:59.7467160Z AUTOTUNE addmm(512x768, 512x768, 768x768) 2025-09-07T09:01:59.7467576Z strides: [0, 1], [768, 1], [768, 1] 2025-09-07T09:01:59.7467938Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:01:59.7468305Z bias_addmm 0.0143 ms 100.0% 2025-09-07T09:01:59.7469050Z triton_mm_26 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:01:59.7470245Z triton_mm_25 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:01:59.7471447Z triton_mm_29 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:01:59.7472634Z triton_mm_19 0.0174 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:01:59.7473809Z triton_mm_20 0.0174 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:01:59.7474967Z triton_mm_21 0.0174 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:01:59.7476147Z triton_mm_22 0.0174 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:01:59.7477617Z triton_mm_28 0.0174 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:01:59.7478812Z triton_mm_31 0.0174 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:01:59.7479851Z SingleProcess AUTOTUNE benchmarking takes 0.2913 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:02:00.1140152Z Autotune Choices Stats: 2025-09-07T09:02:00.1141678Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.026623999699950218, "best_triton_pos": 1, "best_triton_time": 0.026623999699950218, "best_triton_kernel": "triton_mm_62", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T09:02:00.1178404Z AUTOTUNE addmm(512x768, 512x3072, 3072x768) 2025-09-07T09:02:00.1179040Z strides: [0, 1], [3072, 1], [768, 1] 2025-09-07T09:02:00.1179407Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:02:00.1179786Z bias_addmm 0.0266 ms 100.0% 2025-09-07T09:02:00.1180519Z triton_mm_62 0.0266 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:02:00.1181283Z addmm 0.0307 ms 86.7% 2025-09-07T09:02:00.1181989Z triton_mm_58 0.0358 ms 74.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:02:00.1183173Z triton_mm_61 0.0358 ms 74.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:02:00.1184445Z triton_mm_65 0.0389 ms 68.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:00.1185639Z triton_mm_55 0.0451 ms 59.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:02:00.1187010Z triton_mm_56 0.0461 ms 57.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:02:00.1188193Z triton_mm_57 0.0461 ms 57.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:02:00.1189374Z triton_mm_64 0.0471 ms 56.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:00.1190423Z SingleProcess AUTOTUNE benchmarking takes 0.3701 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:02:00.8368116Z Autotune Choices Stats: 2025-09-07T09:02:00.8369314Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_448", "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": 0.24780799448490143, "best_triton_pos": 0} 2025-09-07T09:02:00.8406931Z AUTOTUNE mm(512x768, 768x50257) 2025-09-07T09:02:00.8407269Z strides: [768, 1], [1, 768] 2025-09-07T09:02:00.8407574Z dtypes: torch.float16, torch.float16 2025-09-07T09:02:00.8408376Z triton_mm_448 0.2478 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:00.8409600Z triton_mm_447 0.2529 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:00.8411040Z triton_mm_443 0.2621 ms 94.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:00.8412220Z triton_mm_441 0.2652 ms 93.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:00.8413425Z triton_mm_449 0.3041 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:02:00.8414618Z triton_mm_444 0.3113 ms 79.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:00.8415925Z triton_mm_442 0.3348 ms 74.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:00.8417116Z triton_mm_438 0.3553 ms 69.7% 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 2025-09-07T09:02:00.8418306Z triton_mm_445 0.3584 ms 69.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:00.8419509Z triton_mm_446 0.3615 ms 68.6% 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 2025-09-07T09:02:00.8420547Z SingleProcess AUTOTUNE benchmarking takes 0.6992 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:02:11.3149566Z Autotune Choices Stats: 2025-09-07T09:02:11.3150862Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_466", "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": 0.32256001234054565, "best_triton_pos": 0} 2025-09-07T09:02:11.3187466Z AUTOTUNE mm(50257x512, 512x768) 2025-09-07T09:02:11.3187821Z strides: [1, 50257], [768, 1] 2025-09-07T09:02:11.3188129Z dtypes: torch.float16, torch.float16 2025-09-07T09:02:11.3188912Z triton_mm_466 0.3226 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:11.3190153Z triton_mm_464 0.3348 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T09:02:11.3191355Z triton_mm_465 0.3410 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 2025-09-07T09:02:11.3192580Z triton_mm_461 0.4198 ms 76.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:11.3193767Z triton_mm_459 0.4229 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=3, num_warps=4 2025-09-07T09:02:11.3194976Z triton_mm_462 0.4465 ms 72.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:11.3196166Z triton_mm_460 0.4536 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 2025-09-07T09:02:11.3197359Z triton_mm_467 0.4618 ms 69.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:02:11.3198894Z triton_mm_455 0.4844 ms 66.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:02:11.3200080Z triton_mm_456 0.4905 ms 65.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:02:11.3201123Z SingleProcess AUTOTUNE benchmarking takes 0.6985 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:02:12.0473221Z Autotune Choices Stats: 2025-09-07T09:02:12.0474461Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_629", "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": 0.01740800030529499, "best_triton_pos": 0} 2025-09-07T09:02:12.0513193Z AUTOTUNE mm(768x512, 512x2304) 2025-09-07T09:02:12.0513906Z strides: [1, 768], [2304, 1] 2025-09-07T09:02:12.0514229Z dtypes: torch.float16, torch.float16 2025-09-07T09:02:12.0515052Z triton_mm_629 0.0174 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:02:12.0516278Z triton_mm_623 0.0184 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:12.0517475Z triton_mm_628 0.0184 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:12.0518660Z triton_mm_621 0.0195 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=3, num_warps=4 2025-09-07T09:02:12.0519877Z triton_mm_627 0.0195 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:12.0521074Z triton_mm_622 0.0205 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 2025-09-07T09:02:12.0522259Z triton_mm_624 0.0205 ms 85.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:12.0523450Z triton_mm_625 0.0205 ms 85.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:12.0524632Z triton_mm_619 0.0225 ms 77.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:02:12.0525377Z mm 0.0236 ms 73.9% 2025-09-07T09:02:12.0525910Z SingleProcess AUTOTUNE benchmarking takes 0.2666 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:02:12.5989266Z Autotune Choices Stats: 2025-09-07T09:02:12.5990778Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.020479999482631683, "best_triton_pos": 1, "best_triton_time": 0.021503999829292297, "best_triton_kernel": "triton_mm_497", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:02:12.6030888Z AUTOTUNE mm(512x768, 768x3072) 2025-09-07T09:02:12.6031245Z strides: [768, 1], [1, 768] 2025-09-07T09:02:12.6031550Z dtypes: torch.float16, torch.float16 2025-09-07T09:02:12.6031865Z mm 0.0205 ms 100.0% 2025-09-07T09:02:12.6032919Z triton_mm_497 0.0215 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:12.6034138Z triton_mm_503 0.0215 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=5, num_warps=8 2025-09-07T09:02:12.6035345Z triton_mm_502 0.0225 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 2025-09-07T09:02:12.6036539Z triton_mm_495 0.0246 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:12.6037722Z triton_mm_496 0.0246 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:12.6039075Z triton_mm_498 0.0246 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:12.6040269Z triton_mm_499 0.0246 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:12.6041455Z triton_mm_501 0.0256 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:12.6042651Z triton_mm_493 0.0297 ms 69.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:02:12.6043680Z SingleProcess AUTOTUNE benchmarking takes 0.2824 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:02:15.8760567Z Autotune Choices Stats: 2025-09-07T09:02:15.8762127Z {"num_choices": 23, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.21606400609016418, "best_triton_pos": 1, "best_triton_time": 0.32051199674606323, "best_triton_kernel": "triton_mm_476", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T09:02:15.8810413Z AUTOTUNE mm(512x50264, 50264x768) 2025-09-07T09:02:15.8810725Z strides: [50304, 1], [768, 1] 2025-09-07T09:02:15.8811029Z dtypes: torch.float16, torch.float16 2025-09-07T09:02:15.8811340Z mm 0.2161 ms 100.0% 2025-09-07T09:02:15.8812061Z triton_mm_476 0.3205 ms 67.4% 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 2025-09-07T09:02:15.8813259Z triton_mm_475 0.4526 ms 47.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:02:15.8814457Z triton_mm_472 0.4639 ms 46.6% 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 2025-09-07T09:02:15.8815657Z triton_mm_479 0.5120 ms 42.2% 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 2025-09-07T09:02:15.8816860Z triton_mm_469 0.5663 ms 38.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:02:15.8818064Z triton_mm_478 0.6124 ms 35.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:15.8819265Z triton_mm_481 0.6185 ms 34.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:15.8820847Z triton_mm_470 0.6339 ms 34.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:02:15.8821653Z decompose_k_mm_2_split_0 0.6369 ms 33.9% k_split=2 2025-09-07T09:02:15.8822288Z SingleProcess AUTOTUNE benchmarking takes 1.1667 seconds and 0.0002 seconds precompiling for 23 choices 2025-09-07T09:02:16.2126448Z Autotune Choices Stats: 2025-09-07T09:02:16.2127635Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_530", "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": 0.025599999353289604, "best_triton_pos": 0} 2025-09-07T09:02:16.2169485Z AUTOTUNE mm(512x3072, 3072x768) 2025-09-07T09:02:16.2169818Z strides: [3072, 1], [1, 3072] 2025-09-07T09:02:16.2170197Z dtypes: torch.float16, torch.float16 2025-09-07T09:02:16.2171237Z triton_mm_530 0.0256 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:02:16.2172005Z mm 0.0287 ms 89.3% 2025-09-07T09:02:16.2172698Z triton_mm_529 0.0369 ms 69.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:02:16.2173883Z triton_mm_533 0.0399 ms 64.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:16.2175060Z triton_mm_523 0.0440 ms 58.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:02:16.2176245Z triton_mm_525 0.0451 ms 56.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:02:16.2177440Z triton_mm_526 0.0451 ms 56.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:02:16.2178635Z triton_mm_532 0.0451 ms 56.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:16.2179815Z triton_mm_524 0.0461 ms 55.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:02:16.2181000Z triton_mm_535 0.0461 ms 55.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:16.2182042Z SingleProcess AUTOTUNE benchmarking takes 0.3346 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:02:16.4659698Z Autotune Choices Stats: 2025-09-07T09:02:16.4660895Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_566", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T09:02:16.4701709Z AUTOTUNE mm(512x768, 768x768) 2025-09-07T09:02:16.4702028Z strides: [768, 1], [1, 768] 2025-09-07T09:02:16.4702335Z dtypes: torch.float16, torch.float16 2025-09-07T09:02:16.4703124Z triton_mm_566 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:02:16.4703891Z mm 0.0143 ms 92.9% 2025-09-07T09:02:16.4704634Z triton_mm_565 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:02:16.4706106Z triton_mm_569 0.0154 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:16.4707503Z triton_mm_562 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:02:16.4708686Z triton_mm_568 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:16.4709888Z triton_mm_571 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:16.4711081Z triton_mm_560 0.0174 ms 76.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:02:16.4712406Z triton_mm_561 0.0174 ms 76.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:02:16.4713602Z triton_mm_559 0.0184 ms 72.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:02:16.4714642Z SingleProcess AUTOTUNE benchmarking takes 0.2526 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:02:16.7718393Z Autotune Choices Stats: 2025-09-07T09:02:16.7719560Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_602", "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": 0.021503999829292297, "best_triton_pos": 0} 2025-09-07T09:02:16.7761805Z AUTOTUNE mm(512x2304, 2304x768) 2025-09-07T09:02:16.7762140Z strides: [2304, 1], [1, 2304] 2025-09-07T09:02:16.7762471Z dtypes: torch.float16, torch.float16 2025-09-07T09:02:16.7763257Z triton_mm_602 0.0215 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:02:16.7764016Z mm 0.0256 ms 84.0% 2025-09-07T09:02:16.7764699Z triton_mm_598 0.0287 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:02:16.7765887Z triton_mm_601 0.0287 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 2025-09-07T09:02:16.7767071Z triton_mm_605 0.0328 ms 65.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:16.7768272Z triton_mm_595 0.0358 ms 60.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:02:16.7769458Z triton_mm_596 0.0358 ms 60.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:02:16.7770633Z triton_mm_597 0.0358 ms 60.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:02:16.7771803Z triton_mm_604 0.0358 ms 60.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:16.7772993Z triton_mm_607 0.0369 ms 58.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:16.7774230Z SingleProcess AUTOTUNE benchmarking takes 0.3054 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:02:18.9795163Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward 2025-09-07T09:02:18.9796396Z transformer_outputs = self.transformer( 2025-09-07T09:02:18.9797123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 860, in forward 2025-09-07T09:02:18.9797851Z position_embeds = self.wpe(position_ids) 2025-09-07T09:02:18.9798086Z 2025-09-07T09:02:18.9798092Z 2025-09-07T09:02:19.7434202Z W0907 09:02:19.742000 26928 site-packages/torch/_logging/_internal.py:1199] [10/0] Profiler function will be ignored 2025-09-07T09:02:31.2743045Z pass 2025-09-07T09:02:35.9507436Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:02:35.9508898Z import pynvml # type: ignore[import] 2025-09-07T09:02:39.3157150Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:02:39.3158755Z from pkg_resources import resource_filename 2025-09-07T09:02:40.4286464Z 2025-09-07T09:02:40.4302692Z loading model: 0it [00:00, ?it/s]If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:02:41.4812306Z WARNING:transformers.models.electra.modeling_electra:If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:02:41.4812978Z 2025-09-07T09:02:41.4813089Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:02:41.4813434Z cuda train ElectraForCausalLM 2025-09-07T09:03:07.8577838Z Autotune Choices Stats: 2025-09-07T09:03:07.8579085Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_137", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T09:03:07.8620811Z AUTOTUNE addmm(512x1024, 512x256, 256x1024) 2025-09-07T09:03:07.8621178Z strides: [0, 1], [256, 1], [1, 256] 2025-09-07T09:03:07.8621536Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:03:07.8622391Z triton_mm_137 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:07.8623611Z triton_mm_138 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:07.8624904Z triton_mm_140 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:07.8625684Z bias_addmm 0.0123 ms 91.7% 2025-09-07T09:03:07.8626402Z triton_mm_134 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:07.8627779Z triton_mm_136 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:07.8629323Z triton_mm_139 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:07.8630496Z triton_mm_128 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:07.8631678Z triton_mm_129 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:07.8632865Z triton_mm_135 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:07.8633903Z SingleProcess AUTOTUNE benchmarking takes 0.2833 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T09:03:09.0020403Z Autotune Choices Stats: 2025-09-07T09:03:09.0021977Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_1", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T09:03:09.0066087Z AUTOTUNE addmm(512x256, 512x128, 128x256) 2025-09-07T09:03:09.0066505Z strides: [0, 1], [128, 1], [1, 128] 2025-09-07T09:03:09.0067051Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:03:09.0067860Z triton_mm_1 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:09.0069058Z triton_mm_2 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:09.0070259Z triton_mm_3 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:09.0071445Z triton_mm_4 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:09.0072200Z bias_addmm 0.0092 ms 88.9% 2025-09-07T09:03:09.0072917Z triton_mm_7 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:09.0074071Z triton_mm_8 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:09.0075260Z triton_mm_0 0.0102 ms 80.0% 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 2025-09-07T09:03:09.0076431Z triton_mm_6 0.0102 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:09.0077606Z triton_mm_9 0.0102 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:09.0078637Z SingleProcess AUTOTUNE benchmarking takes 0.2742 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:03:09.2782285Z Autotune Choices Stats: 2025-09-07T09:03:09.2783457Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_19", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T09:03:09.2824855Z AUTOTUNE addmm(512x256, 512x256, 256x256) 2025-09-07T09:03:09.2825230Z strides: [0, 1], [256, 1], [1, 256] 2025-09-07T09:03:09.2825590Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:03:09.2826416Z triton_mm_19 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:09.2827795Z triton_mm_20 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:09.2828978Z triton_mm_21 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:09.2830174Z triton_mm_22 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 2025-09-07T09:03:09.2830947Z bias_addmm 0.0102 ms 90.0% 2025-09-07T09:03:09.2834514Z triton_mm_25 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:09.2835853Z triton_mm_26 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:09.2837040Z triton_mm_27 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:09.2838216Z triton_mm_28 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:09.2839401Z triton_mm_29 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:09.2840444Z SingleProcess AUTOTUNE benchmarking takes 0.2752 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:03:09.5327357Z Autotune Choices Stats: 2025-09-07T09:03:09.5328505Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_79", "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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T09:03:09.5370180Z AUTOTUNE bmm(4x512x64, 4x64x512) 2025-09-07T09:03:09.5370595Z strides: [64, 256, 1], [64, 1, 256] 2025-09-07T09:03:09.5370916Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:09.5371692Z triton_bmm_79 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:09.5372914Z triton_bmm_80 0.0092 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 2025-09-07T09:03:09.5374110Z triton_bmm_73 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:09.5375288Z triton_bmm_76 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:09.5376467Z triton_bmm_77 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:09.5377645Z triton_bmm_78 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:09.5379106Z triton_bmm_81 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:09.5380297Z triton_bmm_82 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:09.5381467Z triton_bmm_83 0.0102 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 2025-09-07T09:03:09.5382650Z triton_bmm_84 0.0102 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=4, num_warps=4 2025-09-07T09:03:09.5383690Z SingleProcess AUTOTUNE benchmarking takes 0.2513 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:03:10.1981955Z Autotune Choices Stats: 2025-09-07T09:03:10.1983471Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_95", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T09:03:10.2027171Z AUTOTUNE bmm(4x512x512, 4x512x64) 2025-09-07T09:03:10.2027515Z strides: [262144, 512, 1], [64, 256, 1] 2025-09-07T09:03:10.2027844Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:10.2028609Z triton_bmm_95 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:10.2029375Z bmm 0.0123 ms 91.7% 2025-09-07T09:03:10.2030070Z triton_bmm_93 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:10.2031273Z triton_bmm_94 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:10.2032460Z triton_bmm_98 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:10.2033641Z triton_bmm_99 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:10.2034823Z triton_bmm_102 0.0123 ms 91.7% 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 2025-09-07T09:03:10.2036025Z triton_bmm_103 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:03:10.2037232Z triton_bmm_92 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:10.2038421Z triton_bmm_101 0.0133 ms 84.6% 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 2025-09-07T09:03:10.2039455Z SingleProcess AUTOTUNE benchmarking takes 0.6651 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:03:10.4970286Z Autotune Choices Stats: 2025-09-07T09:03:10.4971450Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_149", "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": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T09:03:10.5015766Z AUTOTUNE addmm(512x256, 512x1024, 1024x256) 2025-09-07T09:03:10.5016124Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T09:03:10.5016494Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:03:10.5017312Z triton_mm_149 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:10.5018529Z triton_mm_153 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:10.5019296Z bias_addmm 0.0143 ms 85.7% 2025-09-07T09:03:10.5020017Z triton_mm_147 0.0143 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:10.5021199Z triton_mm_148 0.0143 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 2025-09-07T09:03:10.5022591Z triton_mm_146 0.0154 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:10.5023767Z triton_mm_152 0.0164 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 2025-09-07T09:03:10.5024628Z addmm 0.0184 ms 66.7% 2025-09-07T09:03:10.5025331Z triton_mm_156 0.0184 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:10.5026527Z triton_mm_155 0.0205 ms 60.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:10.5027782Z SingleProcess AUTOTUNE benchmarking takes 0.2968 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:03:10.8809455Z Autotune Choices Stats: 2025-09-07T09:03:10.8810614Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_1759", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T09:03:10.8855440Z AUTOTUNE addmm(512x128, 512x256, 256x128) 2025-09-07T09:03:10.8855824Z strides: [0, 1], [256, 1], [1, 256] 2025-09-07T09:03:10.8856188Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:03:10.8857036Z triton_mm_1759 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:10.8857817Z bias_addmm 0.0102 ms 90.0% 2025-09-07T09:03:10.8858561Z triton_mm_1760 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:10.8859763Z triton_mm_1761 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:10.8860973Z triton_mm_1762 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:10.8862166Z triton_mm_1765 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:10.8863360Z triton_mm_1766 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:10.8864992Z triton_mm_1769 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:10.8866201Z triton_mm_1768 0.0123 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:10.8867575Z triton_mm_1770 0.0123 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:10.8868620Z SingleProcess AUTOTUNE benchmarking takes 0.2793 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:03:11.2858795Z Autotune Choices Stats: 2025-09-07T09:03:11.2859995Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_1785", "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": 0.05632000043988228, "best_triton_pos": 0} 2025-09-07T09:03:11.2904754Z AUTOTUNE addmm(512x30522, 512x128, 128x30522) 2025-09-07T09:03:11.2905191Z strides: [0, 1], [128, 1], [1, 128] 2025-09-07T09:03:11.2905537Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:03:11.2906369Z triton_mm_1785 0.0563 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:11.2907747Z triton_mm_1787 0.0573 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:11.2908950Z triton_mm_1792 0.0584 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:11.2910170Z triton_mm_1788 0.0614 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:11.2911371Z triton_mm_1791 0.0614 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:11.2912565Z triton_mm_1784 0.0645 ms 87.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:11.2913765Z triton_mm_1786 0.0645 ms 87.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:11.2914958Z triton_mm_1782 0.0676 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:11.2916164Z triton_mm_1789 0.0676 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:11.2917364Z triton_mm_1783 0.0696 ms 80.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:11.2918402Z SingleProcess AUTOTUNE benchmarking takes 0.4044 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:03:30.1803753Z Autotune Choices Stats: 2025-09-07T09:03:30.1805279Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.05119999870657921, "best_triton_pos": 1, "best_triton_time": 0.05222399905323982, "best_triton_kernel": "triton_mm_1821", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:03:30.1851746Z AUTOTUNE mm(30522x512, 512x128) 2025-09-07T09:03:30.1852059Z strides: [1, 30528], [128, 1] 2025-09-07T09:03:30.1852382Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:30.1852691Z mm 0.0512 ms 100.0% 2025-09-07T09:03:30.1853405Z triton_mm_1821 0.0522 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=3, num_warps=4 2025-09-07T09:03:30.1854608Z triton_mm_1822 0.0532 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:30.1855812Z triton_mm_1823 0.0543 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 2025-09-07T09:03:30.1857027Z triton_mm_1827 0.0553 ms 92.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:30.1858424Z triton_mm_1824 0.0573 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:30.1859634Z triton_mm_1828 0.0594 ms 86.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:30.1860836Z triton_mm_1825 0.0614 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:30.1862025Z triton_mm_1819 0.0625 ms 82.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:30.1863202Z triton_mm_1818 0.0635 ms 80.6% 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=2, num_warps=4 2025-09-07T09:03:30.1864326Z SingleProcess AUTOTUNE benchmarking takes 0.3506 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T09:03:30.6626943Z Autotune Choices Stats: 2025-09-07T09:03:30.6628183Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1877", "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": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T09:03:30.6673704Z AUTOTUNE mm(512x256, 256x1024) 2025-09-07T09:03:30.6674016Z strides: [256, 1], [1024, 1] 2025-09-07T09:03:30.6674303Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:30.6675079Z triton_mm_1877 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:30.6675876Z mm 0.0113 ms 90.9% 2025-09-07T09:03:30.6676584Z triton_mm_1873 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:30.6677782Z triton_mm_1875 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:30.6678983Z triton_mm_1876 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:30.6680174Z triton_mm_1878 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:30.6681375Z triton_mm_1879 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:30.6682903Z triton_mm_1867 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:30.6684123Z triton_mm_1882 0.0123 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=3, num_warps=4 2025-09-07T09:03:30.6685346Z triton_mm_1883 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:30.6686396Z SingleProcess AUTOTUNE benchmarking takes 0.2403 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:03:31.4727797Z Autotune Choices Stats: 2025-09-07T09:03:31.4729704Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.011264000087976456, "best_triton_pos": 1, "best_triton_time": 0.011264000087976456, "best_triton_kernel": "triton_mm_1892", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T09:03:31.4776073Z AUTOTUNE mm(256x512, 512x1024) 2025-09-07T09:03:31.4776415Z strides: [1, 256], [1024, 1] 2025-09-07T09:03:31.4776722Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:31.4777038Z mm 0.0113 ms 100.0% 2025-09-07T09:03:31.4777787Z triton_mm_1892 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 2025-09-07T09:03:31.4778994Z triton_mm_1891 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:31.4780225Z triton_mm_1895 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:31.4781427Z triton_mm_1894 0.0133 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 2025-09-07T09:03:31.4782633Z triton_mm_1897 0.0133 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 2025-09-07T09:03:31.4783829Z triton_mm_1885 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:31.4785102Z triton_mm_1886 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:31.4786302Z triton_mm_1887 0.0143 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 2025-09-07T09:03:31.4787687Z triton_mm_1888 0.0154 ms 73.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:31.4788735Z SingleProcess AUTOTUNE benchmarking takes 0.2482 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:03:31.7760105Z Autotune Choices Stats: 2025-09-07T09:03:31.7761625Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.011264000087976456, "best_triton_pos": 1, "best_triton_time": 0.011264000087976456, "best_triton_kernel": "triton_mm_1928", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T09:03:31.7808120Z AUTOTUNE mm(1024x512, 512x256) 2025-09-07T09:03:31.7808465Z strides: [1, 1024], [256, 1] 2025-09-07T09:03:31.7808790Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:31.7809091Z mm 0.0113 ms 100.0% 2025-09-07T09:03:31.7809817Z triton_mm_1928 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 2025-09-07T09:03:31.7811047Z triton_mm_1927 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:31.7812243Z triton_mm_1931 0.0133 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 2025-09-07T09:03:31.7813452Z triton_mm_1933 0.0133 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 2025-09-07T09:03:31.7816371Z triton_mm_1921 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:31.7817599Z triton_mm_1922 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:31.7818817Z triton_mm_1923 0.0143 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 2025-09-07T09:03:31.7820014Z triton_mm_1924 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:31.7821196Z triton_mm_1930 0.0143 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=4, num_warps=8 2025-09-07T09:03:31.7822253Z SingleProcess AUTOTUNE benchmarking takes 0.2482 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:03:32.3189050Z Autotune Choices Stats: 2025-09-07T09:03:32.3190269Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_5276", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T09:03:32.3237995Z AUTOTUNE mm(512x256, 256x256) 2025-09-07T09:03:32.3238316Z strides: [256, 1], [256, 1] 2025-09-07T09:03:32.3238617Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:32.3239382Z triton_mm_5276 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:32.3240631Z triton_mm_5277 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:32.3241846Z triton_mm_5278 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 2025-09-07T09:03:32.3243057Z triton_mm_5281 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:32.3244265Z triton_mm_5282 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 2025-09-07T09:03:32.3245475Z triton_mm_5275 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:32.3246984Z triton_mm_5284 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:32.3248182Z triton_mm_5285 0.0102 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 2025-09-07T09:03:32.3248926Z mm 0.0113 ms 81.8% 2025-09-07T09:03:32.3249630Z triton_mm_5283 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:32.3250673Z SingleProcess AUTOTUNE benchmarking takes 0.2399 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:03:33.1305818Z Autotune Choices Stats: 2025-09-07T09:03:33.1307586Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_2103", "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": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T09:03:33.1353874Z AUTOTUNE mm(256x512, 512x256) 2025-09-07T09:03:33.1354202Z strides: [512, 1], [256, 1] 2025-09-07T09:03:33.1354495Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:33.1355278Z triton_mm_2103 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:33.1356045Z mm 0.0113 ms 90.9% 2025-09-07T09:03:33.1356748Z triton_mm_2100 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:33.1357953Z triton_mm_2101 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:33.1359168Z triton_mm_2107 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:33.1360355Z triton_mm_2102 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:33.1361543Z triton_mm_2106 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:33.1362742Z triton_mm_2110 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:33.1363946Z triton_mm_2112 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:33.1365160Z triton_mm_2109 0.0143 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 2025-09-07T09:03:33.1366198Z SingleProcess AUTOTUNE benchmarking takes 0.2482 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:03:33.5483691Z Autotune Choices Stats: 2025-09-07T09:03:33.5485188Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.011264000087976456, "best_triton_pos": 1, "best_triton_time": 0.011264000087976456, "best_triton_kernel": "triton_mm_1957", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4"} 2025-09-07T09:03:33.5533361Z AUTOTUNE mm(256x512, 512x256) 2025-09-07T09:03:33.5533675Z strides: [1, 256], [256, 1] 2025-09-07T09:03:33.5534275Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:33.5534574Z mm 0.0113 ms 100.0% 2025-09-07T09:03:33.5535318Z triton_mm_1957 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:33.5536544Z triton_mm_1958 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:33.5537749Z triton_mm_1959 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:33.5538960Z triton_mm_1960 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:33.5540177Z triton_mm_1964 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 2025-09-07T09:03:33.5541507Z triton_mm_1963 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:33.5542713Z triton_mm_1967 0.0133 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 2025-09-07T09:03:33.5543923Z triton_mm_1966 0.0143 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=4, num_warps=8 2025-09-07T09:03:33.5545223Z triton_mm_1969 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:33.5546270Z SingleProcess AUTOTUNE benchmarking takes 0.2474 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:03:34.2061268Z Autotune Choices Stats: 2025-09-07T09:03:34.2062496Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1850", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T09:03:34.2110368Z AUTOTUNE mm(128x512, 512x256) 2025-09-07T09:03:34.2110687Z strides: [1, 128], [256, 1] 2025-09-07T09:03:34.2110974Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:34.2111749Z triton_mm_1850 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:34.2112967Z triton_mm_1852 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:34.2114209Z triton_mm_1856 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:34.2114967Z mm 0.0113 ms 90.9% 2025-09-07T09:03:34.2115658Z triton_mm_1849 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:34.2116852Z triton_mm_1851 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:34.2118034Z triton_mm_1855 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:34.2119229Z triton_mm_1859 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:34.2120722Z triton_mm_1858 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:34.2121928Z triton_mm_1861 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:34.2122971Z SingleProcess AUTOTUNE benchmarking takes 0.2451 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:03:34.6627694Z Autotune Choices Stats: 2025-09-07T09:03:34.6628917Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_5330", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T09:03:34.6677585Z AUTOTUNE mm(256x512, 512x128) 2025-09-07T09:03:34.6678275Z strides: [1, 256], [128, 1] 2025-09-07T09:03:34.6678582Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:34.6679363Z triton_mm_5330 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:34.6680590Z triton_mm_5332 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:34.6681820Z triton_mm_5336 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:34.6689627Z mm 0.0113 ms 90.9% 2025-09-07T09:03:34.6690384Z triton_mm_5329 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:34.6691632Z triton_mm_5331 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:34.6692822Z triton_mm_5335 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:34.6694026Z triton_mm_5339 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:34.6695224Z triton_mm_5338 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:34.6696439Z triton_mm_5341 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:34.6697501Z SingleProcess AUTOTUNE benchmarking takes 0.2460 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:03:36.4274464Z Autotune Choices Stats: 2025-09-07T09:03:36.4275978Z {"num_choices": 22, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.07168000191450119, "best_triton_pos": 2, "best_triton_time": 0.24371199309825897, "best_triton_kernel": "triton_mm_1798", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T09:03:36.4333321Z AUTOTUNE mm(512x30522, 30522x128) 2025-09-07T09:03:36.4333664Z strides: [30528, 1], [128, 1] 2025-09-07T09:03:36.4333982Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:36.4334301Z mm 0.0717 ms 100.0% 2025-09-07T09:03:36.4334937Z decompose_k_mm_3_split_1 0.1485 ms 48.3% k_split=3 2025-09-07T09:03:36.4335777Z triton_mm_1798 0.2437 ms 29.4% 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 2025-09-07T09:03:36.4337000Z triton_mm_1796 0.2540 ms 28.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:36.4337823Z decompose_k_mm_6_split_2 0.2601 ms 27.6% k_split=6 2025-09-07T09:03:36.4338637Z triton_mm_1795 0.2888 ms 24.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:36.4339854Z triton_mm_1802 0.3011 ms 23.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:36.4341214Z triton_mm_1801 0.3287 ms 21.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:36.4342428Z triton_mm_1805 0.3901 ms 18.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:36.4343233Z decompose_k_mm_2_split_0 0.3912 ms 18.3% k_split=2 2025-09-07T09:03:36.4343887Z SingleProcess AUTOTUNE benchmarking takes 1.1070 seconds and 0.0002 seconds precompiling for 22 choices 2025-09-07T09:03:36.6643885Z Autotune Choices Stats: 2025-09-07T09:03:36.6645059Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1832", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T09:03:36.6696435Z AUTOTUNE mm(512x128, 128x256) 2025-09-07T09:03:36.6696737Z strides: [128, 1], [256, 1] 2025-09-07T09:03:36.6697048Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:36.6697829Z triton_mm_1832 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:36.6699055Z triton_mm_1833 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:36.6700271Z triton_mm_1834 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:36.6701484Z triton_mm_1837 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:36.6702709Z triton_mm_1838 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:36.6703911Z triton_mm_1831 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:36.6705195Z triton_mm_1839 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:36.6706389Z triton_mm_1840 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:36.6707760Z triton_mm_1841 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:36.6709174Z triton_mm_1842 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:36.6710221Z SingleProcess AUTOTUNE benchmarking takes 0.2350 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:03:36.9236702Z Autotune Choices Stats: 2025-09-07T09:03:36.9237867Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1906", "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": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T09:03:36.9288519Z AUTOTUNE mm(512x1024, 1024x256) 2025-09-07T09:03:36.9288898Z strides: [1024, 1], [256, 1] 2025-09-07T09:03:36.9289212Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:36.9290008Z triton_mm_1906 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:36.9291086Z mm 0.0133 ms 92.3% 2025-09-07T09:03:36.9291800Z triton_mm_1904 0.0143 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:36.9292986Z triton_mm_1905 0.0143 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 2025-09-07T09:03:36.9294193Z triton_mm_1910 0.0143 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:36.9295396Z triton_mm_1903 0.0164 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:36.9296600Z triton_mm_1909 0.0164 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 2025-09-07T09:03:36.9297797Z triton_mm_1913 0.0174 ms 70.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:36.9299008Z triton_mm_1915 0.0184 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=4, num_warps=8 2025-09-07T09:03:36.9300213Z triton_mm_1912 0.0195 ms 63.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:36.9301248Z SingleProcess AUTOTUNE benchmarking takes 0.2586 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:03:37.1690233Z Autotune Choices Stats: 2025-09-07T09:03:37.1691425Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_1978", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T09:03:37.1743355Z AUTOTUNE bmm(4x512x512, 4x512x64) 2025-09-07T09:03:37.1743749Z strides: [262144, 1, 512], [64, 256, 1] 2025-09-07T09:03:37.1744090Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:37.1744901Z triton_bmm_1978 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:37.1745679Z bmm 0.0123 ms 91.7% 2025-09-07T09:03:37.1746386Z triton_bmm_1976 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:37.1748013Z triton_bmm_1977 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:37.1749230Z triton_bmm_1982 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:37.1750429Z triton_bmm_1985 0.0123 ms 91.7% 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 2025-09-07T09:03:37.1751633Z triton_bmm_1986 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:03:37.1752839Z triton_bmm_1981 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:37.1754156Z triton_bmm_1984 0.0133 ms 84.6% 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 2025-09-07T09:03:37.1755369Z triton_bmm_1991 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:37.1756428Z SingleProcess AUTOTUNE benchmarking takes 0.2434 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:03:37.3918330Z Autotune Choices Stats: 2025-09-07T09:03:37.3919500Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_bmm_2015", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T09:03:37.3971760Z AUTOTUNE bmm(4x64x512, 4x512x512) 2025-09-07T09:03:37.3972086Z strides: [64, 1, 256], [262144, 512, 1] 2025-09-07T09:03:37.3972429Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:37.3973209Z triton_bmm_2015 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:37.3973992Z bmm 0.0123 ms 91.7% 2025-09-07T09:03:37.3974694Z triton_bmm_2013 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:37.3975907Z triton_bmm_2014 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:37.3977106Z triton_bmm_2018 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:37.3978328Z triton_bmm_2019 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:37.3979551Z triton_bmm_2012 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:37.3980762Z triton_bmm_2022 0.0133 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 2025-09-07T09:03:37.3981973Z triton_bmm_2024 0.0133 ms 84.6% 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 2025-09-07T09:03:37.3983169Z triton_bmm_2026 0.0133 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=5, num_warps=8 2025-09-07T09:03:37.3984477Z SingleProcess AUTOTUNE benchmarking takes 0.2192 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T09:03:37.6292614Z Autotune Choices Stats: 2025-09-07T09:03:37.6293790Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_2083", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T09:03:37.6346415Z AUTOTUNE mm(512x256, 256x256) 2025-09-07T09:03:37.6346855Z strides: [1, 512], [256, 1] 2025-09-07T09:03:37.6347164Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:37.6347941Z triton_mm_2083 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:37.6349400Z triton_mm_2084 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:37.6350633Z triton_mm_2085 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 2025-09-07T09:03:37.6351849Z triton_mm_2088 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:37.6353062Z triton_mm_2089 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 2025-09-07T09:03:37.6354280Z triton_mm_2082 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:37.6355501Z triton_mm_2092 0.0102 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 2025-09-07T09:03:37.6356711Z triton_mm_2094 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:37.6357918Z triton_mm_2090 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:37.6359123Z triton_mm_2091 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:37.6360151Z SingleProcess AUTOTUNE benchmarking takes 0.2369 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:03:38.0223522Z Autotune Choices Stats: 2025-09-07T09:03:38.0224803Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_5311", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T09:03:38.0277812Z AUTOTUNE mm(512x256, 256x128) 2025-09-07T09:03:38.0278121Z strides: [256, 1], [128, 1] 2025-09-07T09:03:38.0278428Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:38.0279209Z triton_mm_5311 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:38.0280441Z triton_mm_5317 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:38.0281928Z triton_mm_5318 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 2025-09-07T09:03:38.0282690Z mm 0.0102 ms 90.0% 2025-09-07T09:03:38.0283374Z triton_mm_5312 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:38.0284578Z triton_mm_5313 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:38.0285772Z triton_mm_5314 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:38.0286978Z triton_mm_5320 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:38.0288337Z triton_mm_5321 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:38.0289545Z triton_mm_5323 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:38.0290578Z SingleProcess AUTOTUNE benchmarking takes 0.2388 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:03:42.4601549Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T09:03:42.4602812Z pred = mod(**cloned_inputs) 2025-09-07T09:03:42.4603545Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 1543, in forward 2025-09-07T09:03:42.4604323Z outputs = self.electra( 2025-09-07T09:03:42.4605023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 788, in forward 2025-09-07T09:03:42.4605764Z hidden_states = self.embeddings( 2025-09-07T09:03:42.4606473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 192, in forward 2025-09-07T09:03:42.4607299Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T09:03:42.4607628Z 2025-09-07T09:03:42.4607634Z 2025-09-07T09:03:43.6436557Z pass 2025-09-07T09:03:47.6836511Z accuracy pass_rate=83.33% 2025-09-07T09:03:47.6843747Z calls_captured gmean=0.00x mean=387.500x 2025-09-07T09:03:47.6848277Z unique_graphs gmean=0.00x mean=3.500x 2025-09-07T09:03:47.6852312Z graph_breaks gmean=0.00x mean=4.833x 2025-09-07T09:03:47.6856328Z unique_graph_breaks gmean=0.00x mean=3.833x 2025-09-07T09:03:47.6860460Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:03:47.6865070Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:03:47.6869118Z cudagraph_skips gmean=0.00x mean=1.000x 2025-09-07T09:03:47.6870294Z compilation_latency mean=41.640 seconds 2025-09-07T09:03:48.8506874Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *cudagraphs_low_precision-true* ]] 2025-09-07T09:03:48.8508438Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:03:48.8508770Z + for target in "${targets[@]}" 2025-09-07T09:03:48.8509065Z + target_flag=('--performance') 2025-09-07T09:03:48.8509359Z + local target_flag 2025-09-07T09:03:48.8509640Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T09:03:48.8509997Z + target_flag+=(--cold-start-latency) 2025-09-07T09:03:48.8511855Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freezing-true* ]] 2025-09-07T09:03:48.8514328Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *default-true* ]] 2025-09-07T09:03:48.8516956Z + python benchmarks/dynamo/huggingface.py --performance --cold-start-latency --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance.csv 2025-09-07T09:03:49.8835222Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:03:49.8837043Z import pynvml # type: ignore[import] 2025-09-07T09:03:53.3397370Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:03:53.3398940Z from pkg_resources import resource_filename 2025-09-07T09:03:55.9022487Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:03:55.9023905Z import pynvml # type: ignore[import] 2025-09-07T09:03:59.2720902Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:03:59.2722508Z from pkg_resources import resource_filename 2025-09-07T09:04:00.3768396Z 2025-09-07T09:04:02.1147547Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:04:02.1147916Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:04:02.1148267Z cuda train BlenderbotSmallForCausalLM 2025-09-07T09:04:16.1175600Z 2025-09-07T09:04:16.2358765Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:06:07.5001879Z 2025-09-07T09:06:07.7531966Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:08:59.8011867Z 2025-09-07T09:09:00.0868064Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:11:32.4156831Z 2025-09-07T09:11:32.7025479Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:12:23.0558247Z 2025-09-07T09:12:23.4054562Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:13:15.8655124Z 2025-09-07T09:13:16.1440060Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:16:38.1602017Z 2025-09-07T09:16:38.5270142Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:19:37.2129723Z 2025-09-07T09:19:37.6814798Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:22:12.4728296Z 2025-09-07T09:22:12.7948610Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:23:03.8036653Z 2025-09-07T09:23:04.1800464Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:23:57.0579215Z 2025-09-07T09:23:57.3314794Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:27:34.4344071Z 2025-09-07T09:27:34.8003472Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:30:36.8263407Z 2025-09-07T09:30:37.2999176Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:33:14.8914011Z 2025-09-07T09:33:15.2157861Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:34:10.9268446Z 2025-09-07T09:34:11.3053329Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:35:07.9805768Z 2025-09-07T09:35:08.2536287Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:39:51.6272882Z 2025-09-07T09:39:51.8779701Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:44:59.5965020Z 2025-09-07T09:44:59.8883811Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:49:15.6735379Z 2025-09-07T09:49:15.9622472Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:50:31.3098090Z 2025-09-07T09:50:31.6559210Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:51:45.2083875Z 2025-09-07T09:51:45.4920722Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:56:40.8949053Z 2025-09-07T09:56:41.2520451Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:00:28.9553869Z 2025-09-07T10:00:29.4177972Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:04:12.5153302Z 2025-09-07T10:04:12.8312983Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:05:33.0573016Z 2025-09-07T10:05:33.4337404Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:06:49.9744187Z 2025-09-07T10:06:50.2331316Z running benchmark: 0% 0/30 [00:00 S3Error { code: "SlowDown", message: "Please reduce your request rate.", resource: "", request_id: "Z5497HDQ0KXSP7XF" } 2025-09-07T11:32:58.4087108Z 2025-09-07T11:32:58.4087113Z 2025-09-07T11:32:58.4087118Z 2025-09-07T11:32:58.4087222Z Context: 2025-09-07T11:32:58.4087347Z 2025-09-07T11:32:58.4087691Z uri: https://s3.us-east-1.amazonaws.com/ossci-compiler-cache-circleci-v2/.sccache_check 2025-09-07T11:32:58.4088142Z 2025-09-07T11:32:58.4089637Z response: Parts { status: 503, version: HTTP/1.1, headers: {"x-amz-request-id": "Z5497HDQ0KXSP7XF", "x-amz-id-2": "J4rTAj26ndPMfmx3LWb8YbUHJQQmKdTGh0gG8RECfIvDrUfC/+2OyxhW12z+l2Fg9WpcBXuPLl2W1kxEzvH71Jv3j8P8rpo6", "content-type": "application/xml", "transfer-encoding": "chunked", "date": "Sun, 07 Sep 2025 08:26:37 GMT", "connection": "close", "server": "AmazonS3"} } 2025-09-07T11:32:58.4091241Z 2025-09-07T11:32:58.4091331Z service: s3 2025-09-07T11:32:58.4091482Z 2025-09-07T11:32:58.4091579Z path: .sccache_check 2025-09-07T11:32:58.4091759Z 2025-09-07T11:32:58.4091846Z written: 13 2025-09-07T11:32:58.4091978Z 2025-09-07T11:32:58.4091982Z 2025-09-07T11:32:58.4091986Z 2025-09-07T11:32:58.4092090Z Backtrace: 2025-09-07T11:32:58.4092213Z 2025-09-07T11:32:58.4092313Z 0: 2025-09-07T11:32:58.4092447Z 2025-09-07T11:32:58.4092532Z 1: 2025-09-07T11:32:58.4092678Z 2025-09-07T11:32:58.4092780Z 2: 2025-09-07T11:32:58.4092928Z 2025-09-07T11:32:58.4093014Z 3: 2025-09-07T11:32:58.4093158Z 2025-09-07T11:32:58.4093242Z 4: 2025-09-07T11:32:58.4093372Z 2025-09-07T11:32:58.4093474Z 5: 2025-09-07T11:32:58.4093604Z 2025-09-07T11:32:58.4093688Z 6: 2025-09-07T11:32:58.4093832Z 2025-09-07T11:32:58.4093917Z 7: 2025-09-07T11:32:58.4094061Z 2025-09-07T11:32:58.4094145Z 8: 2025-09-07T11:32:58.4094274Z 2025-09-07T11:32:58.4094373Z 9: 2025-09-07T11:32:58.4094504Z 2025-09-07T11:32:58.4094599Z 10: 2025-09-07T11:32:58.4094725Z 2025-09-07T11:32:58.4094809Z 11: 2025-09-07T11:32:58.4094954Z 2025-09-07T11:32:58.4095054Z 12: __libc_start_call_main 2025-09-07T11:32:58.4095250Z 2025-09-07T11:32:58.4095409Z at ./csu/../sysdeps/nptl/libc_start_call_main.h:58:16 2025-09-07T11:32:58.4095685Z 2025-09-07T11:32:58.4095796Z 13: __libc_start_main_impl 2025-09-07T11:32:58.4095977Z 2025-09-07T11:32:58.4096105Z at ./csu/../csu/libc-start.c:392:3 2025-09-07T11:32:58.4096564Z 2025-09-07T11:32:58.4096648Z 14: 2025-09-07T11:32:58.4096791Z 2025-09-07T11:32:58.4096794Z 2025-09-07T11:32:58.4096803Z 2025-09-07T11:32:58.4096807Z 2025-09-07T11:32:58.4096810Z 2025-09-07T11:32:58.4128268Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-09-07T11:32:58.4128997Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-09-07T11:32:58.4129510Z + sccache --show-stats 2025-09-07T11:32:58.4152412Z Compile requests 655 2025-09-07T11:32:58.4152799Z Compile requests executed 34 2025-09-07T11:32:58.4153110Z Cache hits 17 2025-09-07T11:32:58.4153422Z Cache hits (C/C++) 17 2025-09-07T11:32:58.4153734Z Cache misses 17 2025-09-07T11:32:58.4154054Z Cache misses (C/C++) 17 2025-09-07T11:32:58.4154562Z Cache hits rate 50.00 % 2025-09-07T11:32:58.4154900Z Cache hits rate (C/C++) 50.00 % 2025-09-07T11:32:58.4155227Z Cache timeouts 0 2025-09-07T11:32:58.4155679Z Cache read errors 0 2025-09-07T11:32:58.4155991Z Forced recaches 0 2025-09-07T11:32:58.4156313Z Cache write errors 17 2025-09-07T11:32:58.4156627Z Cache errors 0 2025-09-07T11:32:58.4156944Z Compilations 17 2025-09-07T11:32:58.4157256Z Compilation failures 0 2025-09-07T11:32:58.4157590Z Non-cacheable compilations 0 2025-09-07T11:32:58.4157921Z Non-cacheable calls 68 2025-09-07T11:32:58.4158249Z Non-compilation calls 553 2025-09-07T11:32:58.4158569Z Unsupported compiler calls 0 2025-09-07T11:32:58.4158908Z Average cache write 0.000 s 2025-09-07T11:32:58.4159245Z Average compiler 5.757 s 2025-09-07T11:32:58.4159584Z Average cache read hit 0.129 s 2025-09-07T11:32:58.4159931Z Failed distributed compilations 0 2025-09-07T11:32:58.4160169Z 2025-09-07T11:32:58.4160273Z Non-cacheable reasons: 2025-09-07T11:32:58.4160540Z -E 51 2025-09-07T11:32:58.4160866Z unknown source language 17 2025-09-07T11:32:58.4161079Z 2025-09-07T11:32:58.4161325Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-09-07T11:32:58.4161785Z Version (client) 0.10.0 2025-09-07T11:32:58.4162104Z + sccache --stop-server 2025-09-07T11:32:58.4175643Z Stopping sccache server... 2025-09-07T11:32:58.4177916Z Compile requests 655 2025-09-07T11:32:58.4178311Z Compile requests executed 34 2025-09-07T11:32:58.4178641Z Cache hits 17 2025-09-07T11:32:58.4178959Z Cache hits (C/C++) 17 2025-09-07T11:32:58.4179278Z Cache misses 17 2025-09-07T11:32:58.4179610Z Cache misses (C/C++) 17 2025-09-07T11:32:58.4179923Z Cache hits rate 50.00 % 2025-09-07T11:32:58.4180261Z Cache hits rate (C/C++) 50.00 % 2025-09-07T11:32:58.4180585Z Cache timeouts 0 2025-09-07T11:32:58.4180907Z Cache read errors 0 2025-09-07T11:32:58.4181214Z Forced recaches 0 2025-09-07T11:32:58.4181532Z Cache write errors 17 2025-09-07T11:32:58.4181846Z Cache errors 0 2025-09-07T11:32:58.4182161Z Compilations 17 2025-09-07T11:32:58.4182475Z Compilation failures 0 2025-09-07T11:32:58.4182810Z Non-cacheable compilations 0 2025-09-07T11:32:58.4183141Z Non-cacheable calls 68 2025-09-07T11:32:58.4183474Z Non-compilation calls 553 2025-09-07T11:32:58.4183797Z Unsupported compiler calls 0 2025-09-07T11:32:58.4184134Z Average cache write 0.000 s 2025-09-07T11:32:58.4186470Z Average compiler 5.757 s 2025-09-07T11:32:58.4186964Z Average cache read hit 0.129 s 2025-09-07T11:32:58.4187306Z Failed distributed compilations 0 2025-09-07T11:32:58.4187548Z 2025-09-07T11:32:58.4187653Z Non-cacheable reasons: 2025-09-07T11:32:58.4187923Z -E 51 2025-09-07T11:32:58.4188249Z unknown source language 17 2025-09-07T11:32:58.4188465Z 2025-09-07T11:32:58.4188702Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-09-07T11:32:58.4189172Z Version (client) 0.10.0 2025-09-07T11:32:58.4189512Z + echo ::endgroup:: 2025-09-07T11:32:58.4189991Z ##[endgroup] 2025-09-07T11:32:58.4190222Z + cleanup_workspace 2025-09-07T11:32:58.4190733Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-09-07T11:32:58.4191541Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-09-07T11:32:58.4192337Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-09-07T11:32:58.4192945Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-09-07T11:32:58.4193509Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-09-07T11:32:58.4194134Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-09-07T11:32:58.4194620Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-09-07T11:32:59.1128599Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-09-07T11:32:59.1129091Z with: 2025-09-07T11:32:59.1129350Z benchmark-results-dir: test/test-reports 2025-09-07T11:32:59.1129682Z dry-run: false 2025-09-07T11:32:59.1129925Z schema-version: v3 2025-09-07T11:32:59.1130355Z github-token: *** 2025-09-07T11:32:59.1130594Z env: 2025-09-07T11:32:59.1130814Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:32:59.1131163Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:32:59.1131650Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:32:59.1132253Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:32:59.1132779Z ##[endgroup] 2025-09-07T11:32:59.1150495Z ##[group]Run set -eux 2025-09-07T11:32:59.1150802Z set -eux 2025-09-07T11:32:59.1151021Z  2025-09-07T11:32:59.1151248Z if [[ -n "" ]]; then 2025-09-07T11:32:59.1151575Z  source "" 2025-09-07T11:32:59.1151808Z fi 2025-09-07T11:32:59.1152174Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T11:32:59.1152614Z  2025-09-07T11:32:59.1152838Z DEVICE_NAME="" 2025-09-07T11:32:59.1153100Z DEVICE_TYPE="" 2025-09-07T11:32:59.1153360Z  2025-09-07T11:32:59.1153608Z if command -v nvidia-smi; then 2025-09-07T11:32:59.1154088Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-09-07T11:32:59.1154700Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-09-07T11:32:59.1155268Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-09-07T11:32:59.1155713Z  python3 -mpip install torch==2.7.1 2025-09-07T11:32:59.1156078Z elif command -v rocminfo; then 2025-09-07T11:32:59.1156545Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-09-07T11:32:59.1157123Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-09-07T11:32:59.1157710Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-09-07T11:32:59.1158227Z  # GPU device name coming from rocminfo instead 2025-09-07T11:32:59.1158605Z  DEVICE_NAME=rocm 2025-09-07T11:32:59.1159110Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-09-07T11:32:59.1159626Z fi 2025-09-07T11:32:59.1159952Z  2025-09-07T11:32:59.1160239Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-09-07T11:32:59.1160675Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T11:32:59.1172977Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:32:59.1173365Z env: 2025-09-07T11:32:59.1173595Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:32:59.1173946Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:32:59.1174427Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:32:59.1175025Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:32:59.1175553Z ##[endgroup] 2025-09-07T11:32:59.1204243Z + [[ -n '' ]] 2025-09-07T11:32:59.1204598Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T11:32:59.4291790Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T11:33:00.2541321Z Collecting boto3==1.35.33 2025-09-07T11:33:00.3213554Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T11:33:00.3559346Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.1/139.1 KB 4.0 MB/s eta 0:00:00 2025-09-07T11:33:00.5199370Z Collecting psutil==7.0.0 2025-09-07T11:33:00.5284140Z 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) 2025-09-07T11:33:00.5676981Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 278.0/278.0 KB 7.2 MB/s eta 0:00:00 2025-09-07T11:33:00.5946302Z Collecting pynvml==12.0.0 2025-09-07T11:33:00.6033500Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T11:33:00.6513116Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T11:33:00.6594910Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T11:33:00.6730477Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.2/83.2 KB 6.2 MB/s eta 0:00:00 2025-09-07T11:33:01.4948966Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T11:33:01.5034008Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T11:33:01.8801473Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.3/13.3 MB 46.9 MB/s eta 0:00:00 2025-09-07T11:33:01.9511467Z Collecting jmespath<2.0.0,>=0.7.1 2025-09-07T11:33:01.9595395Z Downloading jmespath-1.0.1-py3-none-any.whl (20 kB) 2025-09-07T11:33:02.0123754Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T11:33:02.0208629Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T11:33:02.0280922Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.5/47.5 KB 6.8 MB/s eta 0:00:00 2025-09-07T11:33:02.0345902Z 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) 2025-09-07T11:33:02.0358728Z 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) 2025-09-07T11:33:02.3510950Z Installing collected packages: nvidia-ml-py, pynvml, psutil, jmespath, botocore, s3transfer, boto3 2025-09-07T11:33:02.3511861Z Attempting uninstall: nvidia-ml-py 2025-09-07T11:33:02.3517189Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T11:33:02.3554807Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T11:33:02.3578239Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T11:33:02.4345952Z Attempting uninstall: psutil 2025-09-07T11:33:02.4353376Z Found existing installation: psutil 5.9.8 2025-09-07T11:33:02.4500607Z Uninstalling psutil-5.9.8: 2025-09-07T11:33:02.4509176Z Successfully uninstalled psutil-5.9.8 2025-09-07T11:33:03.2458297Z 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 2025-09-07T11:33:03.3573264Z + DEVICE_NAME= 2025-09-07T11:33:03.3573525Z + DEVICE_TYPE= 2025-09-07T11:33:03.3573765Z + command -v nvidia-smi 2025-09-07T11:33:03.3574413Z + python3 -mpip install torch==2.7.1 2025-09-07T11:33:03.3575006Z /usr/bin/nvidia-smi 2025-09-07T11:33:03.6616819Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T11:33:03.9235374Z Collecting torch==2.7.1 2025-09-07T11:33:03.9910360Z Downloading torch-2.7.1-cp310-cp310-manylinux_2_28_x86_64.whl (821.2 MB) 2025-09-07T11:33:14.9066098Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 821.2/821.2 MB 1.4 MB/s eta 0:00:00 2025-09-07T11:33:17.1061867Z Collecting nvidia-nvtx-cu12==12.6.77 2025-09-07T11:33:17.1153807Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-09-07T11:33:17.1222506Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 89.3/89.3 KB 15.7 MB/s eta 0:00:00 2025-09-07T11:33:17.1743843Z Collecting fsspec 2025-09-07T11:33:17.1826113Z Downloading fsspec-2025.9.0-py3-none-any.whl (199 kB) 2025-09-07T11:33:17.1906790Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.3/199.3 KB 30.5 MB/s eta 0:00:00 2025-09-07T11:33:17.1928094Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/alice/.local/lib/python3.10/site-packages (from torch==2.7.1) (4.15.0) 2025-09-07T11:33:17.2248133Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-09-07T11:33:17.2331544Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-09-07T11:33:24.2599026Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 571.0/571.0 MB 2.1 MB/s eta 0:00:00 2025-09-07T11:33:25.7336845Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-09-07T11:33:25.7424609Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-09-07T11:33:25.7643395Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 897.7/897.7 KB 45.8 MB/s eta 0:00:00 2025-09-07T11:33:25.7968960Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-09-07T11:33:25.8053824Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-09-07T11:33:30.3099716Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 393.1/393.1 MB 3.4 MB/s eta 0:00:00 2025-09-07T11:33:31.3277152Z Collecting nvidia-curand-cu12==10.3.7.77 2025-09-07T11:33:31.3361698Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-09-07T11:33:31.7353785Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.3/56.3 MB 49.0 MB/s eta 0:00:00 2025-09-07T11:33:31.9052297Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-09-07T11:33:31.9139070Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-09-07T11:33:33.9548439Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 216.6/216.6 MB 8.4 MB/s eta 0:00:00 2025-09-07T11:33:34.5159952Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-09-07T11:33:34.5247364Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-09-07T11:33:35.9142431Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 156.8/156.8 MB 12.6 MB/s eta 0:00:00 2025-09-07T11:33:36.3433182Z Collecting sympy>=1.13.3 2025-09-07T11:33:36.3515593Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-09-07T11:33:36.4010834Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/6.3 MB 132.2 MB/s eta 0:00:00 2025-09-07T11:33:36.4529569Z Collecting nvidia-nccl-cu12==2.26.2 2025-09-07T11:33:36.4614249Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-09-07T11:33:39.6609072Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 201.3/201.3 MB 4.2 MB/s eta 0:00:00 2025-09-07T11:33:40.3194309Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-09-07T11:33:40.3281647Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-09-07T11:33:40.6302570Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.9/8.9 MB 29.7 MB/s eta 0:00:00 2025-09-07T11:33:40.8384554Z Collecting triton==3.3.1 2025-09-07T11:33:40.8477478Z Downloading triton-3.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-09-07T11:33:43.4028107Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.6/155.6 MB 5.2 MB/s eta 0:00:00 2025-09-07T11:33:43.9485242Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-09-07T11:33:43.9577089Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-09-07T11:33:46.7949982Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 200.2/200.2 MB 5.0 MB/s eta 0:00:00 2025-09-07T11:33:47.3267039Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-09-07T11:33:47.3356792Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-09-07T11:33:47.5161982Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 86.8 MB/s eta 0:00:00 2025-09-07T11:33:47.6210076Z Collecting filelock 2025-09-07T11:33:47.6297639Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-09-07T11:33:47.6682252Z Collecting jinja2 2025-09-07T11:33:47.6770475Z Downloading jinja2-3.1.6-py3-none-any.whl (134 kB) 2025-09-07T11:33:47.6856355Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 134.9/134.9 KB 19.6 MB/s eta 0:00:00 2025-09-07T11:33:47.7178682Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-09-07T11:33:47.7268671Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-09-07T11:33:48.9846920Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 158.2/158.2 MB 15.9 MB/s eta 0:00:00 2025-09-07T11:33:49.4109219Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-09-07T11:33:49.4197343Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-09-07T11:33:49.5566869Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.7/19.7 MB 104.8 MB/s eta 0:00:00 2025-09-07T11:33:49.6558255Z Collecting networkx 2025-09-07T11:33:49.6640995Z Downloading networkx-3.4.2-py3-none-any.whl (1.7 MB) 2025-09-07T11:33:49.6797253Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 124.0 MB/s eta 0:00:00 2025-09-07T11:33:49.7097002Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-09-07T11:33:49.7182530Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-09-07T11:33:49.7313256Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 101.6 MB/s eta 0:00:00 2025-09-07T11:33:49.7622161Z 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) 2025-09-07T11:33:49.7925786Z Collecting mpmath<1.4,>=1.1.0 2025-09-07T11:33:49.8008473Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-09-07T11:33:49.8113224Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 536.2/536.2 KB 62.5 MB/s eta 0:00:00 2025-09-07T11:33:50.0262952Z Collecting MarkupSafe>=2.0 2025-09-07T11:33:50.0350075Z Downloading MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20 kB) 2025-09-07T11:33:50.4021047Z 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 2025-09-07T11:33:55.4105232Z WARNING: The scripts proton and proton-viewer are installed in '/home/alice/.local/bin' which is not on PATH. 2025-09-07T11:33:55.4106188Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T11:33:59.5006816Z WARNING: The script isympy is installed in '/home/alice/.local/bin' which is not on PATH. 2025-09-07T11:33:59.5007685Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T11:34:36.5527895Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/alice/.local/bin' which is not on PATH. 2025-09-07T11:34:36.5528839Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T11:34:36.9324842Z 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 2025-09-07T11:34:37.4724484Z + echo DEVICE_NAME= 2025-09-07T11:34:37.4724867Z + echo DEVICE_TYPE= 2025-09-07T11:34:37.4806343Z ##[group]Run set -eux 2025-09-07T11:34:37.4806633Z set -eux 2025-09-07T11:34:37.4806870Z  2025-09-07T11:34:37.4807106Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T11:34:37.4807479Z  echo "Missing github-token input" 2025-09-07T11:34:37.4807829Z  exit 1 2025-09-07T11:34:37.4808061Z fi 2025-09-07T11:34:37.4820554Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:34:37.4820951Z env: 2025-09-07T11:34:37.4821177Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:34:37.4821522Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:34:37.4821999Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:34:37.4822616Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:34:37.4823144Z DEVICE_NAME: 2025-09-07T11:34:37.4823379Z DEVICE_TYPE: 2025-09-07T11:34:37.4823832Z GITHUB_TOKEN: *** 2025-09-07T11:34:37.4824067Z ##[endgroup] 2025-09-07T11:34:37.4895680Z + [[ -z *** ]] 2025-09-07T11:34:37.5158082Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T11:34:37.5158540Z with: 2025-09-07T11:34:37.5158970Z github-token: *** 2025-09-07T11:34:37.5159212Z env: 2025-09-07T11:34:37.5159429Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:34:37.5159886Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:34:37.5160365Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:34:37.5160976Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:34:37.5161499Z DEVICE_NAME: 2025-09-07T11:34:37.5161722Z DEVICE_TYPE: 2025-09-07T11:34:37.5161954Z ##[endgroup] 2025-09-07T11:34:37.5488168Z ##[group]Run set -eux 2025-09-07T11:34:37.5488456Z set -eux 2025-09-07T11:34:37.5488689Z  2025-09-07T11:34:37.5489174Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T11:34:37.5501236Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:34:37.5501637Z env: 2025-09-07T11:34:37.5501866Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:34:37.5502218Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:34:37.5502687Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:34:37.5503303Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:34:37.5503829Z DEVICE_NAME: 2025-09-07T11:34:37.5504065Z DEVICE_TYPE: 2025-09-07T11:34:37.5504632Z GITHUB_TOKEN: *** 2025-09-07T11:34:37.5504863Z ##[endgroup] 2025-09-07T11:34:37.5624844Z + python3 /home/alice/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525309334 i-04bedcebd1f4c5e73-1001 2025-09-07T11:34:38.5561279Z setting job-id=49775768411 2025-09-07T11:34:38.5561863Z setting job-name=cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 2, 5, linux.aws.a100) 2025-09-07T11:34:38.5760741Z ##[group]Run set -eux 2025-09-07T11:34:38.5761033Z set -eux 2025-09-07T11:34:38.5761268Z  2025-09-07T11:34:38.5761480Z if [[ -n "" ]]; then 2025-09-07T11:34:38.5761768Z  source "" 2025-09-07T11:34:38.5762163Z fi 2025-09-07T11:34:38.5762392Z  2025-09-07T11:34:38.5762782Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T11:34:38.5763330Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T11:34:38.5763699Z  --repo "${REPO}" \ 2025-09-07T11:34:38.5764018Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T11:34:38.5764373Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T11:34:38.5764860Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T11:34:38.5765237Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T11:34:38.5765584Z  --job-id "${JOB_ID}" \ 2025-09-07T11:34:38.5765901Z  --job-name "${JOB_NAME}" 2025-09-07T11:34:38.5778408Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:34:38.5778806Z env: 2025-09-07T11:34:38.5779040Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:34:38.5779384Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:34:38.5779875Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:34:38.5780476Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:34:38.5781002Z DEVICE_NAME: 2025-09-07T11:34:38.5781236Z DEVICE_TYPE: 2025-09-07T11:34:38.5781470Z SCHEMA_VERSION: v3 2025-09-07T11:34:38.5781714Z REPO: pytorch/pytorch 2025-09-07T11:34:38.5781986Z HEAD_BRANCH: refs/heads/main 2025-09-07T11:34:38.5782332Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T11:34:38.5782699Z WORKFLOW_RUN_ID: 17525309334 2025-09-07T11:34:38.5782967Z RUN_ATTEMPT: 1 2025-09-07T11:34:38.5783207Z JOB_ID: 49775768411 2025-09-07T11:34:38.5783665Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 2, 5, linux.aws.a100) 2025-09-07T11:34:38.5784184Z ##[endgroup] 2025-09-07T11:34:38.5890426Z + [[ -n '' ]] 2025-09-07T11:34:38.5892716Z + python3 /home/alice/_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 17525309334 --run-attempt 1 --job-id 49775768411 --job-name 'cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 2, 5, linux.aws.a100)' 2025-09-07T11:34:38.6295272Z ##[group]Run set -eux 2025-09-07T11:34:38.6295558Z set -eux 2025-09-07T11:34:38.6295776Z  2025-09-07T11:34:38.6296024Z if [[ -n "" ]]; then 2025-09-07T11:34:38.6296307Z  source "" 2025-09-07T11:34:38.6296550Z fi 2025-09-07T11:34:38.6296751Z  2025-09-07T11:34:38.6297160Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T11:34:38.6309919Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:34:38.6310321Z env: 2025-09-07T11:34:38.6310545Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:34:38.6310902Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:34:38.6311401Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:34:38.6312022Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:34:38.6312556Z DEVICE_NAME: 2025-09-07T11:34:38.6312778Z DEVICE_TYPE: 2025-09-07T11:34:38.6313013Z ##[endgroup] 2025-09-07T11:34:38.6422356Z + [[ -n '' ]] 2025-09-07T11:34:38.6423140Z + python3 /home/alice/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T11:34:39.4747267Z /home/alice/.local/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-09-07T11:34:39.4748528Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-09-07T11:34:40.7191391Z ##[group]Run set -eux 2025-09-07T11:34:40.7191819Z set -eux 2025-09-07T11:34:40.7192061Z  2025-09-07T11:34:40.7192303Z # TODO (huydhn): Implement this part 2025-09-07T11:34:40.7192709Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T11:34:40.7205237Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:34:40.7205640Z env: 2025-09-07T11:34:40.7205873Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:34:40.7206206Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:34:40.7206860Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:34:40.7207479Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:34:40.7208001Z DEVICE_NAME: 2025-09-07T11:34:40.7208222Z DEVICE_TYPE: 2025-09-07T11:34:40.7208453Z ##[endgroup] 2025-09-07T11:34:40.7326389Z + echo 'dependencies={}' 2025-09-07T11:34:40.7492124Z ##[group]Run set -eux 2025-09-07T11:34:40.7492426Z set -eux 2025-09-07T11:34:40.7492657Z  2025-09-07T11:34:40.7492888Z if [[ -n "" ]]; then 2025-09-07T11:34:40.7493172Z  source "" 2025-09-07T11:34:40.7493415Z fi 2025-09-07T11:34:40.7493618Z  2025-09-07T11:34:40.7493890Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T11:34:40.7494351Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T11:34:40.7494863Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T11:34:40.7495266Z  exit 0 2025-09-07T11:34:40.7495500Z fi 2025-09-07T11:34:40.7495713Z  2025-09-07T11:34:40.7495955Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T11:34:40.7496438Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T11:34:40.7497018Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T11:34:40.7497464Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T11:34:40.7497833Z  --runners "${RUNNER_INFO}" \ 2025-09-07T11:34:40.7498306Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T11:34:40.7498638Z  --dry-run 2025-09-07T11:34:40.7498896Z else 2025-09-07T11:34:40.7499294Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T11:34:40.7499872Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T11:34:40.7500307Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T11:34:40.7500675Z  --runners "${RUNNER_INFO}" \ 2025-09-07T11:34:40.7501031Z  --dependencies "${DEPENDENCIES}" 2025-09-07T11:34:40.7501359Z fi 2025-09-07T11:34:40.7513035Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:34:40.7513441Z env: 2025-09-07T11:34:40.7513666Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:34:40.7514010Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:34:40.7514492Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:34:40.7515099Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:34:40.7515622Z DEVICE_NAME: 2025-09-07T11:34:40.7515856Z DEVICE_TYPE: 2025-09-07T11:34:40.7516123Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T11:34:40.7516440Z DRY_RUN: false 2025-09-07T11:34:40.7517830Z BENCHMARK_METADATA: {"timestamp": 1757244878, "schema_version": "v3", "name": "cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 2, 5, linux.aws.a100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525309334, "run_attempt": 1, "job_id": 49775768411} 2025-09-07T11:34:40.7519824Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 1121, "extra_info": {"hostname": "5b29241bb6e3"}, "name": "cuda", "type": "NVIDIA A100-SXM4-40GB", "gpu_count": 1, "avail_gpu_mem_in_gb": 39}] 2025-09-07T11:34:40.7520794Z DEPENDENCIES: {} 2025-09-07T11:34:40.7521048Z ##[endgroup] 2025-09-07T11:34:40.7619200Z + [[ -n '' ]] 2025-09-07T11:34:40.7619458Z + [[ ! -d test/test-reports ]] 2025-09-07T11:34:40.7619768Z + [[ false == \t\r\u\e ]] 2025-09-07T11:34:40.7622915Z + python3 /home/alice/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1757244878, "schema_version": "v3", "name": "cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 2, 5, linux.aws.a100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525309334, "run_attempt": 1, "job_id": 49775768411}' --runners '[{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 1121, "extra_info": {"hostname": "5b29241bb6e3"}, "name": "cuda", "type": "NVIDIA A100-SXM4-40GB", "gpu_count": 1, "avail_gpu_mem_in_gb": 39}]' --dependencies '{}' 2025-09-07T11:34:40.8911281Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance.json 2025-09-07T11:34:40.9253448Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T11:34:41.3660250Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T11:34:41.7420357Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_max_autotune_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T11:34:42.0998893Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T11:34:42.4582390Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T11:34:42.9040276Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T11:34:43.2701759Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T11:34:43.7136684Z INFO:root:Upload test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T11:34:44.0617267Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T11:34:44.4306800Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T11:34:44.8577559Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T11:34:45.3065366Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T11:34:45.7556093Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_with_cudagraphs_huggingface_amp_training_cuda_accuracy.json 2025-09-07T11:34:46.1208336Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T11:34:46.5404744Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance.json 2025-09-07T11:34:46.9012647Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T11:34:47.2549737Z INFO:root:Upload test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T11:34:47.6060297Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_dynamic_huggingface_amp_training_cuda_accuracy.json 2025-09-07T11:34:47.9659678Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_max_autotune_huggingface_amp_training_cuda_performance.json 2025-09-07T11:34:48.3252570Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T11:34:48.6929975Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_dynamic_huggingface_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T11:34:49.1447082Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T11:34:49.5230310Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T11:34:49.9772079Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_no_cudagraphs_huggingface_amp_training_cuda_accuracy.json 2025-09-07T11:34:50.3414882Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T11:34:50.7320786Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T11:34:51.1663860Z INFO:root:Upload test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T11:34:51.5247743Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_max_autotune_huggingface_amp_training_cuda_accuracy.json 2025-09-07T11:34:51.8623606Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance.json 2025-09-07T11:34:52.2145171Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T11:34:52.5764378Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T11:34:52.9291327Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_dynamic_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T11:34:53.2790957Z INFO:root:Upload test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_export_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T11:34:53.6339865Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_dynamic_huggingface_amp_training_cuda_performance.json 2025-09-07T11:34:54.0072506Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T11:34:54.4527057Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T11:34:54.9140109Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_cpp_wrapper_huggingface_amp_training_cuda_accuracy.json 2025-09-07T11:34:55.2811214Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T11:34:55.6477636Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_max_autotune_huggingface_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T11:34:56.1238097Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768411/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T11:34:56.5331569Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T11:34:56.5331981Z cat test/**/*_toprint.log || true 2025-09-07T11:34:56.5344212Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:34:56.5344742Z env: 2025-09-07T11:34:56.5344975Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:34:56.5345325Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:34:56.5345785Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:34:56.5346419Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:34:56.5347170Z DEVICE_NAME: 2025-09-07T11:34:56.5347405Z DEVICE_TYPE: 2025-09-07T11:34:56.5347640Z ##[endgroup] 2025-09-07T11:34:56.5528513Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T11:34:56.5667041Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T11:34:56.5667423Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T11:34:56.5678764Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:34:56.5679149Z env: 2025-09-07T11:34:56.5679380Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:34:56.5679732Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:34:56.5680206Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:34:56.5680808Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:34:56.5681345Z DEVICE_NAME: 2025-09-07T11:34:56.5681692Z DEVICE_TYPE: 2025-09-07T11:34:56.5681944Z MONITOR_SCRIPT_PID: 9414 2025-09-07T11:34:56.5682204Z ##[endgroup] 2025-09-07T11:34:56.5907480Z Prepare all required actions 2025-09-07T11:34:56.5907917Z Getting action download info 2025-09-07T11:34:56.9191503Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T11:34:57.8351060Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T11:35:00.0419885Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T11:35:00.0420278Z with: 2025-09-07T11:35:00.0420664Z file-suffix: test-inductor_huggingface_perf-2-5-linux.aws.a100_49775768411 2025-09-07T11:35:00.0421138Z s3-bucket: gha-artifacts 2025-09-07T11:35:00.0421411Z env: 2025-09-07T11:35:00.0421640Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:35:00.0421997Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:35:00.0422472Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:35:00.0423141Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:35:00.0423668Z DEVICE_NAME: 2025-09-07T11:35:00.0423889Z DEVICE_TYPE: 2025-09-07T11:35:00.0424118Z ##[endgroup] 2025-09-07T11:35:00.0642983Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T11:35:00.0643463Z # Remove any previous test jsons if they exist 2025-09-07T11:35:00.0643851Z rm -f test-jsons-*.zip 2025-09-07T11:35:00.0644281Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T11:35:00.0656701Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:35:00.0657102Z env: 2025-09-07T11:35:00.0657327Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:35:00.0657677Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:35:00.0658134Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:35:00.0658876Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:35:00.0659404Z DEVICE_NAME: 2025-09-07T11:35:00.0659650Z DEVICE_TYPE: 2025-09-07T11:35:00.0660042Z FILE_SUFFIX: test-inductor_huggingface_perf-2-5-linux.aws.a100_49775768411 2025-09-07T11:35:00.0660491Z ##[endgroup] 2025-09-07T11:35:00.0816136Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T11:35:00.0842448Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T11:35:00.0860161Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T11:35:00.0878255Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T11:35:00.0959667Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:35:00.0985669Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T11:35:00.1058864Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:35:00.1115107Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:35:00.1140911Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T11:35:00.1226414Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:35:00.1297460Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:35:00.1384378Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:35:00.1396254Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_accuracy.json (deflated 98%) 2025-09-07T11:35:00.1465387Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:35:00.1491355Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T11:35:00.1509393Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T11:35:00.1535035Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T11:35:00.1547129Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_accuracy.json (deflated 98%) 2025-09-07T11:35:00.1573225Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T11:35:00.1591406Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T11:35:00.1676687Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:35:00.1702850Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T11:35:00.1787266Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:35:00.1804568Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T11:35:00.1830686Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T11:35:00.1904742Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:35:00.1922037Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T11:35:00.1934019Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_accuracy.json (deflated 98%) 2025-09-07T11:35:00.1960285Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T11:35:00.1978029Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T11:35:00.1995945Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T11:35:00.2013604Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T11:35:00.2031063Z adding: test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T11:35:00.2056956Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T11:35:00.2139653Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:35:00.2214371Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:35:00.2231912Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T11:35:00.2257843Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T11:35:00.2355566Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:35:00.2381529Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T11:35:00.2408976Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T11:35:00.2409461Z # Remove any previous test reports if they exist 2025-09-07T11:35:00.2409863Z rm -f test-reports-*.zip 2025-09-07T11:35:00.2410356Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T11:35:00.2421859Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:35:00.2422256Z env: 2025-09-07T11:35:00.2422469Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:35:00.2422816Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:35:00.2423289Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:35:00.2423908Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:35:00.2424563Z DEVICE_NAME: 2025-09-07T11:35:00.2424800Z DEVICE_TYPE: 2025-09-07T11:35:00.2425190Z FILE_SUFFIX: test-inductor_huggingface_perf-2-5-linux.aws.a100_49775768411 2025-09-07T11:35:00.2425654Z ##[endgroup] 2025-09-07T11:35:00.2560637Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_accuracy.csv (deflated 52%) 2025-09-07T11:35:00.2561599Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 64%) 2025-09-07T11:35:00.2562532Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_accuracy.csv (deflated 52%) 2025-09-07T11:35:00.2563451Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance.csv (deflated 49%) 2025-09-07T11:35:00.2564395Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance.csv (deflated 48%) 2025-09-07T11:35:00.2565519Z adding: test/test-reports/inductor_cudagraphs_low_precision_huggingface_quant_inference_cuda_accuracy.csv (deflated 55%) 2025-09-07T11:35:00.2566649Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:35:00.2567722Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance.csv (deflated 48%) 2025-09-07T11:35:00.2568657Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance.csv (deflated 47%) 2025-09-07T11:35:00.2606721Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 55%) 2025-09-07T11:35:00.2607795Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 54%) 2025-09-07T11:35:00.2608927Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:35:00.2609943Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_accuracy.csv (deflated 46%) 2025-09-07T11:35:00.2610848Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 54%) 2025-09-07T11:35:00.2611849Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T11:35:00.2612964Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance.csv (deflated 49%) 2025-09-07T11:35:00.2614021Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance.csv (deflated 49%) 2025-09-07T11:35:00.2614955Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_accuracy.csv (deflated 47%) 2025-09-07T11:35:00.2615914Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance.csv (deflated 49%) 2025-09-07T11:35:00.2617147Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance.csv (deflated 49%) 2025-09-07T11:35:00.2618185Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:35:00.2619304Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:35:00.2620347Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 54%) 2025-09-07T11:35:00.2621353Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T11:35:00.2622408Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:35:00.2623436Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance.csv (deflated 49%) 2025-09-07T11:35:00.2624554Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 55%) 2025-09-07T11:35:00.2625602Z adding: test/test-reports/inductor_cudagraphs_low_precision_huggingface_quant_inference_cuda_performance.csv (deflated 49%) 2025-09-07T11:35:00.2626834Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:35:00.2628043Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T11:35:00.2629230Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T11:35:00.2630335Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:35:00.2631447Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance.csv (deflated 50%) 2025-09-07T11:35:00.2632603Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T11:35:00.2633699Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_accuracy.csv (deflated 47%) 2025-09-07T11:35:00.2634666Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance.csv (deflated 49%) 2025-09-07T11:35:00.2635668Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_performance.csv (deflated 47%) 2025-09-07T11:35:00.2636711Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:35:00.2637751Z adding: test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 55%) 2025-09-07T11:35:00.2638686Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 55%) 2025-09-07T11:35:00.2639611Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_performance.csv (deflated 48%) 2025-09-07T11:35:00.2640513Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 54%) 2025-09-07T11:35:00.2856814Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T11:35:00.2857283Z # Remove any previous usage logs if they exist 2025-09-07T11:35:00.2857652Z rm -f logs-*.zip 2025-09-07T11:35:00.2858007Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T11:35:00.2858516Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T11:35:00.2869847Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:35:00.2870328Z env: 2025-09-07T11:35:00.2870546Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:35:00.2870984Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:35:00.2871441Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:35:00.2872047Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:35:00.2872562Z DEVICE_NAME: 2025-09-07T11:35:00.2872786Z DEVICE_TYPE: 2025-09-07T11:35:00.2873172Z FILE_SUFFIX: test-inductor_huggingface_perf-2-5-linux.aws.a100_49775768411 2025-09-07T11:35:00.2873617Z ##[endgroup] 2025-09-07T11:35:00.3099090Z adding: usage_log.txt (deflated 92%) 2025-09-07T11:35:00.3111688Z 2025-09-07T11:35:00.3112074Z zip error: Nothing to do! (logs-test-inductor_huggingface_perf-2-5-linux.aws.a100_49775768411.zip) 2025-09-07T11:35:00.3160376Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T11:35:00.3160914Z # Remove any previous debugging artifacts if they exist 2025-09-07T11:35:00.3161333Z rm -f debug-*.zip 2025-09-07T11:35:00.3161618Z if [ -d 'test/debug' ]; then 2025-09-07T11:35:00.3161980Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T11:35:00.3162328Z fi 2025-09-07T11:35:00.3173136Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:35:00.3173523Z env: 2025-09-07T11:35:00.3173727Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:35:00.3174064Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:35:00.3174528Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:35:00.3175143Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:35:00.3175665Z DEVICE_NAME: 2025-09-07T11:35:00.3175881Z DEVICE_TYPE: 2025-09-07T11:35:00.3176265Z FILE_SUFFIX: test-inductor_huggingface_perf-2-5-linux.aws.a100_49775768411 2025-09-07T11:35:00.3176816Z ##[endgroup] 2025-09-07T11:35:00.3502297Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T11:35:00.3502632Z with: 2025-09-07T11:35:00.3502869Z s3-bucket: gha-artifacts 2025-09-07T11:35:00.3503202Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T11:35:00.3503567Z retention-days: 14 2025-09-07T11:35:00.3503819Z if-no-files-found: warn 2025-09-07T11:35:00.3504104Z path: test-jsons-*.zip 2025-09-07T11:35:00.3504368Z name: artifact 2025-09-07T11:35:00.3504724Z region: us-east-1 2025-09-07T11:35:00.3504951Z env: 2025-09-07T11:35:00.3505175Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:35:00.3505525Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:35:00.3505999Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:35:00.3506781Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:35:00.3507308Z DEVICE_NAME: 2025-09-07T11:35:00.3507548Z DEVICE_TYPE: 2025-09-07T11:35:00.3507790Z ##[endgroup] 2025-09-07T11:35:00.6782612Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T11:35:00.6783127Z With the provided path, there will be 1 file uploaded 2025-09-07T11:35:00.6783603Z Uploading to s3 prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T11:35:00.6791624Z Starting upload of test-jsons-test-inductor_huggingface_perf-2-5-linux.aws.a100_49775768411.zip 2025-09-07T11:35:01.2656390Z Finished upload of test-jsons-test-inductor_huggingface_perf-2-5-linux.aws.a100_49775768411.zip 2025-09-07T11:35:01.2888468Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T11:35:01.2888821Z with: 2025-09-07T11:35:01.2889048Z s3-bucket: gha-artifacts 2025-09-07T11:35:01.2889371Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T11:35:01.2889738Z retention-days: 14 2025-09-07T11:35:01.2890004Z if-no-files-found: error 2025-09-07T11:35:01.2890293Z path: test-reports-*.zip 2025-09-07T11:35:01.2890552Z name: artifact 2025-09-07T11:35:01.2890788Z region: us-east-1 2025-09-07T11:35:01.2891167Z env: 2025-09-07T11:35:01.2891391Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:35:01.2891866Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:35:01.2892339Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:35:01.2892957Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:35:01.2893480Z DEVICE_NAME: 2025-09-07T11:35:01.2893699Z DEVICE_TYPE: 2025-09-07T11:35:01.2893930Z ##[endgroup] 2025-09-07T11:35:01.6168808Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T11:35:01.6169307Z With the provided path, there will be 1 file uploaded 2025-09-07T11:35:01.6169782Z Uploading to s3 prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T11:35:01.6177419Z Starting upload of test-reports-test-inductor_huggingface_perf-2-5-linux.aws.a100_49775768411.zip 2025-09-07T11:35:02.0537337Z Finished upload of test-reports-test-inductor_huggingface_perf-2-5-linux.aws.a100_49775768411.zip 2025-09-07T11:35:02.1436148Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T11:35:02.1436511Z with: 2025-09-07T11:35:02.1436765Z s3-bucket: gha-artifacts 2025-09-07T11:35:02.1437105Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T11:35:02.1437458Z retention-days: 14 2025-09-07T11:35:02.1437725Z if-no-files-found: ignore 2025-09-07T11:35:02.1438010Z path: logs-*.zip 2025-09-07T11:35:02.1438250Z name: artifact 2025-09-07T11:35:02.1438473Z region: us-east-1 2025-09-07T11:35:02.1438707Z env: 2025-09-07T11:35:02.1438928Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:35:02.1439278Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:35:02.1439739Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:35:02.1440350Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:35:02.1440872Z DEVICE_NAME: 2025-09-07T11:35:02.1441105Z DEVICE_TYPE: 2025-09-07T11:35:02.1441334Z ##[endgroup] 2025-09-07T11:35:02.4719753Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T11:35:02.4720268Z With the provided path, there will be 1 file uploaded 2025-09-07T11:35:02.4720746Z Uploading to s3 prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T11:35:02.4728338Z Starting upload of logs-test-inductor_huggingface_perf-2-5-linux.aws.a100_49775768411.zip 2025-09-07T11:35:02.9106566Z Finished upload of logs-test-inductor_huggingface_perf-2-5-linux.aws.a100_49775768411.zip 2025-09-07T11:35:02.9396372Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T11:35:02.9396728Z with: 2025-09-07T11:35:02.9396964Z s3-bucket: gha-artifacts 2025-09-07T11:35:02.9397308Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T11:35:02.9397674Z retention-days: 14 2025-09-07T11:35:02.9397945Z if-no-files-found: ignore 2025-09-07T11:35:02.9398233Z path: debug-*.zip 2025-09-07T11:35:02.9398476Z name: artifact 2025-09-07T11:35:02.9398703Z region: us-east-1 2025-09-07T11:35:02.9398949Z env: 2025-09-07T11:35:02.9399176Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:35:02.9399523Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:35:02.9399996Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:35:02.9400612Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:35:02.9401136Z DEVICE_NAME: 2025-09-07T11:35:02.9401372Z DEVICE_TYPE: 2025-09-07T11:35:02.9401604Z ##[endgroup] 2025-09-07T11:35:03.2631417Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T11:35:03.2851939Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T11:35:03.2852331Z # shellcheck disable=SC2156 2025-09-07T11:35:03.2852945Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T11:35:03.2865644Z shell: /usr/bin/bash -e {0} 2025-09-07T11:35:03.2865940Z env: 2025-09-07T11:35:03.2866154Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:35:03.2866793Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:35:03.2867272Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:35:03.2867886Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:35:03.2868399Z DEVICE_NAME: 2025-09-07T11:35:03.2868634Z DEVICE_TYPE: 2025-09-07T11:35:03.2868879Z ##[endgroup] 2025-09-07T11:35:03.8372633Z Prepare all required actions 2025-09-07T11:35:03.8373133Z Getting action download info 2025-09-07T11:35:04.0150603Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T11:35:04.0150977Z with: 2025-09-07T11:35:04.0151196Z job_id: 49775768411 2025-09-07T11:35:04.0151662Z job_name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 2, 5, linux.aws.a100) 2025-09-07T11:35:04.0152224Z workflow_name: inductor-A100-perf-nightly 2025-09-07T11:35:04.0152563Z workflow_run_id: 17525309334 2025-09-07T11:35:04.0152847Z workflow_attempt: 1 2025-09-07T11:35:04.0153115Z env: 2025-09-07T11:35:04.0153332Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:35:04.0153668Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:35:04.0154141Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:35:04.0154752Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:35:04.0155302Z DEVICE_NAME: 2025-09-07T11:35:04.0155536Z DEVICE_TYPE: 2025-09-07T11:35:04.0155762Z ##[endgroup] 2025-09-07T11:35:04.0379812Z ##[group]Run echo "workflow_id: 17525309334" 2025-09-07T11:35:04.0380195Z echo "workflow_id: 17525309334" 2025-09-07T11:35:04.0380522Z echo "workflow_attempt: 1" 2025-09-07T11:35:04.0380924Z echo "workflow_Name: inductor-A100-perf-nightly" 2025-09-07T11:35:04.0381330Z echo "job_id: 49775768411" 2025-09-07T11:35:04.0381890Z echo "job_name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 2, 5, linux.aws.a100)" 2025-09-07T11:35:04.0382608Z echo "artifact_prefix: " 2025-09-07T11:35:04.0382933Z python3 --version 2025-09-07T11:35:04.0395374Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:35:04.0395768Z env: 2025-09-07T11:35:04.0395993Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:35:04.0396323Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:35:04.0396805Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:35:04.0397420Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:35:04.0397942Z DEVICE_NAME: 2025-09-07T11:35:04.0398162Z DEVICE_TYPE: 2025-09-07T11:35:04.0398391Z ##[endgroup] 2025-09-07T11:35:04.0473479Z workflow_id: 17525309334 2025-09-07T11:35:04.0473745Z workflow_attempt: 1 2025-09-07T11:35:04.0474038Z workflow_Name: inductor-A100-perf-nightly 2025-09-07T11:35:04.0474370Z job_id: 49775768411 2025-09-07T11:35:04.0474830Z job_name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 2, 5, linux.aws.a100) 2025-09-07T11:35:04.0475356Z artifact_prefix: 2025-09-07T11:35:04.0487880Z Python 3.10.12 2025-09-07T11:35:04.0552881Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T11:35:04.0553203Z with: 2025-09-07T11:35:04.0553402Z shell: bash 2025-09-07T11:35:04.0553633Z timeout_minutes: 5 2025-09-07T11:35:04.0553885Z max_attempts: 5 2025-09-07T11:35:04.0554142Z retry_wait_seconds: 30 2025-09-07T11:35:04.0554702Z 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 2025-09-07T11:35:04.0555319Z polling_interval_seconds: 1 2025-09-07T11:35:04.0555614Z warning_on_retry: true 2025-09-07T11:35:04.0555885Z continue_on_error: false 2025-09-07T11:35:04.0556133Z env: 2025-09-07T11:35:04.0556349Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:35:04.0556683Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:35:04.0557155Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:35:04.0557886Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:35:04.0558392Z DEVICE_NAME: 2025-09-07T11:35:04.0558628Z DEVICE_TYPE: 2025-09-07T11:35:04.0558861Z ##[endgroup] 2025-09-07T11:35:04.4338745Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T11:35:04.6671360Z Collecting python-dateutil==2.8.2 2025-09-07T11:35:04.7336939Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T11:35:04.9166521Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 247.7/247.7 KB 1.3 MB/s eta 0:00:00 2025-09-07T11:35:05.6522566Z Collecting boto3==1.35.42 2025-09-07T11:35:05.6620014Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T11:35:05.7977528Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.2/139.2 KB 964.3 kB/s eta 0:00:00 2025-09-07T11:35:06.2131914Z Collecting pandas==2.1.3 2025-09-07T11:35:06.2246075Z Downloading pandas-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T11:35:06.8516176Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.3/12.3 MB 20.0 MB/s eta 0:00:00 2025-09-07T11:35:06.9157224Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/alice/.local/lib/python3.10/site-packages (0.6.7) 2025-09-07T11:35:06.9176146Z Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil==2.8.2) (1.16.0) 2025-09-07T11:35:06.9225682Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/alice/.local/lib/python3.10/site-packages (from boto3==1.35.42) (0.10.4) 2025-09-07T11:35:06.9231483Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /home/alice/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.0.1) 2025-09-07T11:35:06.9236935Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/alice/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.35.99) 2025-09-07T11:35:07.6128149Z Collecting numpy<2,>=1.22.4 2025-09-07T11:35:07.6214783Z Downloading numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T11:35:08.1223602Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 18.2/18.2 MB 23.3 MB/s eta 0:00:00 2025-09-07T11:35:08.3641054Z Collecting pytz>=2020.1 2025-09-07T11:35:08.3724998Z Downloading pytz-2025.2-py2.py3-none-any.whl (509 kB) 2025-09-07T11:35:08.5053726Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 509.2/509.2 KB 3.8 MB/s eta 0:00:00 2025-09-07T11:35:08.5493183Z Collecting tzdata>=2022.1 2025-09-07T11:35:08.5575485Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T11:35:08.5679170Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 347.8/347.8 KB 39.8 MB/s eta 0:00:00 2025-09-07T11:35:08.5779654Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/alice/.local/lib/python3.10/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-09-07T11:35:08.5785592Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/alice/.local/lib/python3.10/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-09-07T11:35:08.5880000Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.26.5) 2025-09-07T11:35:08.5975863Z Requirement already satisfied: packaging>=17.0 in /home/alice/.local/lib/python3.10/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-09-07T11:35:08.6084807Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/alice/.local/lib/python3.10/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-09-07T11:35:08.6092098Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/alice/.local/lib/python3.10/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0) 2025-09-07T11:35:08.9276514Z Installing collected packages: pytz, tzdata, python-dateutil, numpy, pandas, boto3 2025-09-07T11:35:10.7861829Z WARNING: The script f2py is installed in '/home/alice/.local/bin' which is not on PATH. 2025-09-07T11:35:10.7862895Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T11:35:14.0613614Z Attempting uninstall: boto3 2025-09-07T11:35:14.0620368Z Found existing installation: boto3 1.35.33 2025-09-07T11:35:14.0809264Z Uninstalling boto3-1.35.33: 2025-09-07T11:35:14.0826309Z Successfully uninstalled boto3-1.35.33 2025-09-07T11:35:14.1474688Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 pytz-2025.2 tzdata-2025.2 2025-09-07T11:35:15.1381012Z Command completed after 1 attempt(s). 2025-09-07T11:35:15.1434366Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T11:35:15.1436563Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T11:35:15.1437107Z  --workflow-run-id "17525309334" \ 2025-09-07T11:35:15.1437531Z  --workflow-name "inductor-A100-perf-nightly" \ 2025-09-07T11:35:15.1438143Z  --workflow-run-attempt "1" \ 2025-09-07T11:35:15.1438484Z  --job-id "49775768411" \ 2025-09-07T11:35:15.1439026Z  --job-name "cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 2, 5, linux.aws.a100)" \ 2025-09-07T11:35:15.1439598Z  --local-path "" \ 2025-09-07T11:35:15.1439900Z  --artifact-prefix "" 2025-09-07T11:35:15.1452148Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:35:15.1452550Z env: 2025-09-07T11:35:15.1452773Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:35:15.1453122Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:35:15.1453600Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-07T11:35:15.1454213Z DOCKER_CONTAINER_ID: e79cf2e4a44526824b04606fc2daa0e7b6f2e8e6ba1c4af2ffde150098409d4b 2025-09-07T11:35:15.1454724Z DEVICE_NAME: 2025-09-07T11:35:15.1454961Z DEVICE_TYPE: 2025-09-07T11:35:15.1455189Z ##[endgroup] 2025-09-07T11:35:18.1599290Z repo: pytorch/pytorch 2025-09-07T11:35:18.1599693Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T11:35:18.1600269Z Downloading logs-test-inductor_huggingface_perf-2-5-linux.aws.a100_49775768411.zip 2025-09-07T11:35:18.1601068Z extracting usage_log.txt from zip file logs-test-inductor_huggingface_perf-2-5-linux.aws.a100_49775768411.zip 2025-09-07T11:35:18.1601737Z Converted Log Model: UtilizationMetadata: 2025-09-07T11:35:18.1603318Z UtilizationMetadata(level='metadata', workflow_id='17525309334', job_id='49775768411', workflow_name='inductor-A100-perf-nightly', job_name='cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 2, 5, linux.aws.a100)', usage_collect_interval=4.0, data_model_version=1.5, start_at=1757233126, gpu_count=1, cpu_count=96, gpu_type='pynvml', error=None) 2025-09-07T11:35:18.1604952Z [Db Segments] detected pytest cmd: 5, generated segments: 5 2025-09-07T11:35:18.1605362Z [db model] Peek db timeseries 2025-09-07T11:35:18.1605629Z :{ 2025-09-07T11:35:18.1605856Z "created_at": 1757244917, 2025-09-07T11:35:18.1606145Z "type": "utilization", 2025-09-07T11:35:18.1606408Z "tags": [ 2025-09-07T11:35:18.1606613Z "record" 2025-09-07T11:35:18.1606835Z ], 2025-09-07T11:35:18.1607051Z "time_stamp": 1757233126, 2025-09-07T11:35:18.1607341Z "repo": "pytorch/pytorch", 2025-09-07T11:35:18.1607621Z "workflow_id": 17525309334, 2025-09-07T11:35:18.1607908Z "run_attempt": 1, 2025-09-07T11:35:18.1608163Z "job_id": 49775768411, 2025-09-07T11:35:18.1608481Z "workflow_name": "inductor-A100-perf-nightly", 2025-09-07T11:35:18.1609041Z "job_name": "cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 2, 5, linux.aws.a100)", 2025-09-07T11:35:18.1609564Z "json_data": "{}" 2025-09-07T11:35:18.1609808Z } 2025-09-07T11:35:18.1610325Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525309334/1/49775768411/metadata 2025-09-07T11:35:18.1611277Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525309334/1/49775768411/metadata 2025-09-07T11:35:18.1612538Z Writing 784 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525309334/1/49775768411/time_series 2025-09-07T11:35:18.1613560Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525309334/1/49775768411/time_series 2025-09-07T11:35:18.2808073Z Post job cleanup. 2025-09-07T11:35:18.2850385Z Post job cleanup. 2025-09-07T11:35:18.3819397Z [command]/usr/bin/git version 2025-09-07T11:35:18.3855133Z git version 2.51.0 2025-09-07T11:35:18.3894465Z Temporarily overriding HOME='/home/alice/_work/_temp/18e72287-1b22-42f2-b4a9-b1346f28d961' before making global git config changes 2025-09-07T11:35:18.3895374Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T11:35:18.3899307Z [command]/usr/bin/git config --global --add safe.directory /home/alice/_work/pytorch/pytorch 2025-09-07T11:35:18.3939495Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T11:35:18.3970708Z [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' || :" 2025-09-07T11:35:18.4200445Z Entering 'android/libs/fbjni' 2025-09-07T11:35:18.4242512Z Entering 'third_party/FP16' 2025-09-07T11:35:18.4283680Z Entering 'third_party/FXdiv' 2025-09-07T11:35:18.4325299Z Entering 'third_party/NNPACK' 2025-09-07T11:35:18.4367081Z Entering 'third_party/NVTX' 2025-09-07T11:35:18.4409286Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T11:35:18.4450739Z Entering 'third_party/XNNPACK' 2025-09-07T11:35:18.4510171Z Entering 'third_party/aiter' 2025-09-07T11:35:18.4553460Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T11:35:18.4604047Z Entering 'third_party/benchmark' 2025-09-07T11:35:18.4646828Z Entering 'third_party/composable_kernel' 2025-09-07T11:35:18.4698592Z Entering 'third_party/cpp-httplib' 2025-09-07T11:35:18.4740829Z Entering 'third_party/cpuinfo' 2025-09-07T11:35:18.4783724Z Entering 'third_party/cudnn_frontend' 2025-09-07T11:35:18.4827573Z Entering 'third_party/cutlass' 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Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T11:35:18.5501882Z Entering 'third_party/gloo' 2025-09-07T11:35:18.5542733Z Entering 'third_party/googletest' 2025-09-07T11:35:18.5584789Z Entering 'third_party/ideep' 2025-09-07T11:35:18.5628651Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T11:35:18.5678175Z Entering 'third_party/ittapi' 2025-09-07T11:35:18.5721531Z Entering 'third_party/kineto' 2025-09-07T11:35:18.5763321Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T11:35:18.5803698Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T11:35:18.5846211Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T11:35:18.5885692Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T11:35:18.5925944Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T11:35:18.5964952Z Entering 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Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T11:35:18.6956002Z Entering 'third_party/pocketfft' 2025-09-07T11:35:18.6998671Z Entering 'third_party/protobuf' 2025-09-07T11:35:18.7044049Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T11:35:18.7083581Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T11:35:18.7126032Z Entering 'third_party/psimd' 2025-09-07T11:35:18.7170145Z Entering 'third_party/pthreadpool' 2025-09-07T11:35:18.7211706Z Entering 'third_party/pybind11' 2025-09-07T11:35:18.7255110Z Entering 'third_party/python-peachpy' 2025-09-07T11:35:18.7296315Z Entering 'third_party/sleef' 2025-09-07T11:35:18.7337959Z Entering 'third_party/tensorpipe' 2025-09-07T11:35:18.7378665Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T11:35:18.7419159Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T11:35:18.7458281Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T11:35:18.7497486Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T11:35:18.7537663Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T11:35:18.7598206Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T11:35:18.7620324Z http.https://github.com/.extraheader 2025-09-07T11:35:18.7630078Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T11:35:18.7663067Z [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' || :" 2025-09-07T11:35:18.7896183Z Entering 'android/libs/fbjni' 2025-09-07T11:35:18.7921085Z http.https://github.com/.extraheader 2025-09-07T11:35:18.7954178Z Entering 'third_party/FP16' 2025-09-07T11:35:18.7977860Z http.https://github.com/.extraheader 2025-09-07T11:35:18.8010093Z Entering 'third_party/FXdiv' 2025-09-07T11:35:18.8035169Z http.https://github.com/.extraheader 2025-09-07T11:35:18.8067745Z Entering 'third_party/NNPACK' 2025-09-07T11:35:18.8092078Z http.https://github.com/.extraheader 2025-09-07T11:35:18.8124514Z Entering 'third_party/NVTX' 2025-09-07T11:35:18.8149088Z http.https://github.com/.extraheader 2025-09-07T11:35:18.8181035Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T11:35:18.8206020Z http.https://github.com/.extraheader 2025-09-07T11:35:18.8237905Z Entering 'third_party/XNNPACK' 2025-09-07T11:35:18.8261635Z http.https://github.com/.extraheader 2025-09-07T11:35:18.8309525Z Entering 'third_party/aiter' 2025-09-07T11:35:18.8334853Z http.https://github.com/.extraheader 2025-09-07T11:35:18.8368541Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T11:35:18.8392717Z http.https://github.com/.extraheader 2025-09-07T11:35:18.8433770Z Entering 'third_party/benchmark' 2025-09-07T11:35:18.8458763Z http.https://github.com/.extraheader 2025-09-07T11:35:18.8491315Z Entering 'third_party/composable_kernel' 2025-09-07T11:35:18.8516123Z http.https://github.com/.extraheader 2025-09-07T11:35:18.8558009Z Entering 'third_party/cpp-httplib' 2025-09-07T11:35:18.8582078Z http.https://github.com/.extraheader 2025-09-07T11:35:18.8613663Z Entering 'third_party/cpuinfo' 2025-09-07T11:35:18.8638503Z http.https://github.com/.extraheader 2025-09-07T11:35:18.8669442Z Entering 'third_party/cudnn_frontend' 2025-09-07T11:35:18.8694602Z http.https://github.com/.extraheader 2025-09-07T11:35:18.8725053Z Entering 'third_party/cutlass' 2025-09-07T11:35:18.8751536Z http.https://github.com/.extraheader 2025-09-07T11:35:18.8793138Z Entering 'third_party/fbgemm' 2025-09-07T11:35:18.8818640Z http.https://github.com/.extraheader 2025-09-07T11:35:18.8854306Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T11:35:18.8878107Z http.https://github.com/.extraheader 2025-09-07T11:35:18.8908452Z Entering 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http.https://github.com/.extraheader 2025-09-07T11:35:18.9777455Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T11:35:18.9801130Z http.https://github.com/.extraheader 2025-09-07T11:35:18.9839976Z Entering 'third_party/ittapi' 2025-09-07T11:35:18.9864905Z http.https://github.com/.extraheader 2025-09-07T11:35:18.9894840Z Entering 'third_party/kineto' 2025-09-07T11:35:18.9919440Z http.https://github.com/.extraheader 2025-09-07T11:35:18.9950602Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T11:35:18.9973696Z http.https://github.com/.extraheader 2025-09-07T11:35:19.0003378Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T11:35:19.0027525Z http.https://github.com/.extraheader 2025-09-07T11:35:19.0059081Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T11:35:19.0083489Z http.https://github.com/.extraheader 2025-09-07T11:35:19.0114362Z Entering 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http.https://github.com/.extraheader 2025-09-07T11:35:19.0444601Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T11:35:19.0467345Z http.https://github.com/.extraheader 2025-09-07T11:35:19.0499082Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T11:35:19.0523207Z http.https://github.com/.extraheader 2025-09-07T11:35:19.0553408Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T11:35:19.0576783Z http.https://github.com/.extraheader 2025-09-07T11:35:19.0608027Z Entering 'third_party/kleidiai' 2025-09-07T11:35:19.0633498Z http.https://github.com/.extraheader 2025-09-07T11:35:19.0665863Z Entering 'third_party/mimalloc' 2025-09-07T11:35:19.0690497Z http.https://github.com/.extraheader 2025-09-07T11:35:19.0722541Z Entering 'third_party/nlohmann' 2025-09-07T11:35:19.0746783Z http.https://github.com/.extraheader 2025-09-07T11:35:19.0778880Z Entering 'third_party/onnx' 2025-09-07T11:35:19.0804017Z http.https://github.com/.extraheader 2025-09-07T11:35:19.0854031Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T11:35:19.0878784Z http.https://github.com/.extraheader 2025-09-07T11:35:19.0912144Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T11:35:19.0936523Z http.https://github.com/.extraheader 2025-09-07T11:35:19.0968092Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T11:35:19.0991932Z http.https://github.com/.extraheader 2025-09-07T11:35:19.1021899Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T11:35:19.1045724Z http.https://github.com/.extraheader 2025-09-07T11:35:19.1074792Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T11:35:19.1098028Z http.https://github.com/.extraheader 2025-09-07T11:35:19.1127320Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T11:35:19.1151538Z http.https://github.com/.extraheader 2025-09-07T11:35:19.1181392Z Entering 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Entering 'third_party/pocketfft' 2025-09-07T11:35:19.1579115Z http.https://github.com/.extraheader 2025-09-07T11:35:19.1609680Z Entering 'third_party/protobuf' 2025-09-07T11:35:19.1634300Z http.https://github.com/.extraheader 2025-09-07T11:35:19.1668257Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T11:35:19.1691550Z http.https://github.com/.extraheader 2025-09-07T11:35:19.1720536Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T11:35:19.1744176Z http.https://github.com/.extraheader 2025-09-07T11:35:19.1775253Z Entering 'third_party/psimd' 2025-09-07T11:35:19.1799504Z http.https://github.com/.extraheader 2025-09-07T11:35:19.1829596Z Entering 'third_party/pthreadpool' 2025-09-07T11:35:19.1853068Z http.https://github.com/.extraheader 2025-09-07T11:35:19.1882380Z Entering 'third_party/pybind11' 2025-09-07T11:35:19.1906791Z http.https://github.com/.extraheader 2025-09-07T11:35:19.1936875Z Entering 'third_party/python-peachpy' 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2025-09-07T11:35:19.6969914Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T11:35:19.7025937Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T11:35:19.7055156Z [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' || :" 2025-09-07T11:35:19.7270435Z Entering 'android/libs/fbjni' 2025-09-07T11:35:19.7310613Z Entering 'third_party/FP16' 2025-09-07T11:35:19.7349940Z Entering 'third_party/FXdiv' 2025-09-07T11:35:19.7389398Z Entering 'third_party/NNPACK' 2025-09-07T11:35:19.7429055Z Entering 'third_party/NVTX' 2025-09-07T11:35:19.7469591Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T11:35:19.7509572Z Entering 'third_party/XNNPACK' 2025-09-07T11:35:19.7565929Z Entering 'third_party/aiter' 2025-09-07T11:35:19.7606311Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T11:35:19.7655527Z Entering 'third_party/benchmark' 2025-09-07T11:35:19.7694455Z Entering 'third_party/composable_kernel' 2025-09-07T11:35:19.7742026Z Entering 'third_party/cpp-httplib' 2025-09-07T11:35:19.7781964Z Entering 'third_party/cpuinfo' 2025-09-07T11:35:19.7822018Z Entering 'third_party/cudnn_frontend' 2025-09-07T11:35:19.7861762Z Entering 'third_party/cutlass' 2025-09-07T11:35:19.7912035Z Entering 'third_party/fbgemm' 2025-09-07T11:35:19.7955708Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T11:35:19.7993643Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T11:35:19.8039341Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T11:35:19.8077692Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T11:35:19.8124839Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T11:35:19.8166437Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T11:35:19.8204430Z Entering 'third_party/fbgemm/external/json' 2025-09-07T11:35:19.8246893Z Entering 'third_party/flash-attention' 2025-09-07T11:35:19.8287381Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T11:35:19.8333108Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T11:35:19.8380444Z Entering 'third_party/flatbuffers' 2025-09-07T11:35:19.8422218Z Entering 'third_party/fmt' 2025-09-07T11:35:19.8462725Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T11:35:19.8502749Z Entering 'third_party/gloo' 2025-09-07T11:35:19.8542292Z Entering 'third_party/googletest' 2025-09-07T11:35:19.8582714Z Entering 'third_party/ideep' 2025-09-07T11:35:19.8621643Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T11:35:19.8670350Z Entering 'third_party/ittapi' 2025-09-07T11:35:19.8710331Z Entering 'third_party/kineto' 2025-09-07T11:35:19.8749488Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T11:35:19.8787777Z Entering 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