2025-09-07T07:44:40.2437775Z Current runner version: '2.328.0' 2025-09-07T07:44:40.2443697Z Runner name: 'i-04318a58cd30ea7bb-1006' 2025-09-07T07:44:40.2444533Z Runner group name: 'default' 2025-09-07T07:44:40.2445431Z Machine name: '96c3a9a3db41' 2025-09-07T07:44:40.2448115Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T07:44:40.2450338Z Contents: read 2025-09-07T07:44:40.2450934Z Metadata: read 2025-09-07T07:44:40.2451531Z ##[endgroup] 2025-09-07T07:44:40.2454043Z Secret source: Actions 2025-09-07T07:44:40.2454783Z Prepare workflow directory 2025-09-07T07:44:40.2969526Z Prepare all required actions 2025-09-07T07:44:40.3009706Z Getting action download info 2025-09-07T07:44:40.6577478Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T07:44:42.2566780Z Download action repository 'pytorch/pytorch@main' (SHA:ada43ed39c80b746b4822c92640a1882619e2795) 2025-09-07T07:45:00.0969839Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T07:45:00.4382157Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T07:45:00.7871185Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T07:45:01.0513752Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:45:01.4532967Z Getting action download info 2025-09-07T07:45:01.5580490Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T07:45:01.8875356Z Getting action download info 2025-09-07T07:45:02.0187944Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T07:45:02.3018268Z Getting action download info 2025-09-07T07:45:02.4216558Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T07:45:02.6888944Z Getting action download info 2025-09-07T07:45:02.8222320Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:45:02.8226413Z ##[group] Inputs 2025-09-07T07:45:02.8226833Z build-environment: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T07:45:02.8233086Z 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"}]} 2025-09-07T07:45:02.8240075Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:45:02.8241093Z sync-tag: 2025-09-07T07:45:02.8241910Z timeout-minutes: 1440 2025-09-07T07:45:02.8242174Z use-gha: 2025-09-07T07:45:02.8243434Z dashboard-tag: training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T07:45:02.8244784Z s3-bucket: gha-artifacts 2025-09-07T07:45:02.8245066Z aws-role-to-assume: 2025-09-07T07:45:02.8245677Z disable-monitor: false 2025-09-07T07:45:02.8245985Z monitor-log-interval: 15 2025-09-07T07:45:02.8246301Z monitor-data-collect-interval: 4 2025-09-07T07:45:02.8246626Z ##[endgroup] 2025-09-07T07:45:02.8247101Z Complete job name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 5, 5, linux.aws.a100) 2025-09-07T07:45:02.8743779Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T07:45:02.8744557Z with: 2025-09-07T07:45:02.8745100Z github-secret: *** 2025-09-07T07:45:02.8745854Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T07:45:02.8746665Z activate-with-label: false 2025-09-07T07:45:02.8746957Z label: with-ssh 2025-09-07T07:45:02.8747202Z remove-existing-keys: true 2025-09-07T07:45:02.8747494Z fail-silently: true 2025-09-07T07:45:02.8747980Z env: 2025-09-07T07:45:02.8748212Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:45:02.8748474Z ##[endgroup] 2025-09-07T07:45:02.9879718Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T07:45:02.9880688Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T07:45:03.0069340Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T07:45:03.0069806Z with: 2025-09-07T07:45:03.0070033Z no-sudo: true 2025-09-07T07:45:03.0070267Z submodules: recursive 2025-09-07T07:45:03.0070530Z fetch-depth: 0 2025-09-07T07:45:03.0070766Z env: 2025-09-07T07:45:03.0070984Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:45:03.0071239Z ##[endgroup] 2025-09-07T07:45:03.0154994Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:45:03.0156013Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:45:03.0173969Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:45:03.0174386Z env: 2025-09-07T07:45:03.0174612Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:45:03.0174872Z ##[endgroup] 2025-09-07T07:45:03.0325392Z ##[group]Run actions/checkout@v4 2025-09-07T07:45:03.0325692Z with: 2025-09-07T07:45:03.0325946Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:45:03.0326287Z fetch-depth: 0 2025-09-07T07:45:03.0326535Z submodules: recursive 2025-09-07T07:45:03.0326792Z show-progress: false 2025-09-07T07:45:03.0327133Z repository: pytorch/pytorch 2025-09-07T07:45:03.0327584Z token: *** 2025-09-07T07:45:03.0327813Z ssh-strict: true 2025-09-07T07:45:03.0328054Z ssh-user: git 2025-09-07T07:45:03.0328308Z persist-credentials: true 2025-09-07T07:45:03.0328576Z clean: true 2025-09-07T07:45:03.0328831Z sparse-checkout-cone-mode: true 2025-09-07T07:45:03.0329137Z fetch-tags: false 2025-09-07T07:45:03.0329364Z lfs: false 2025-09-07T07:45:03.0329595Z set-safe-directory: true 2025-09-07T07:45:03.0330076Z env: 2025-09-07T07:45:03.0330296Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:45:03.0330550Z ##[endgroup] 2025-09-07T07:45:03.1341882Z Syncing repository: pytorch/pytorch 2025-09-07T07:45:03.1343547Z ##[group]Getting Git version info 2025-09-07T07:45:03.1344000Z Working directory is '/home/frank/_work/pytorch/pytorch' 2025-09-07T07:45:03.1344632Z [command]/usr/bin/git version 2025-09-07T07:45:03.1344963Z git version 2.51.0 2025-09-07T07:45:03.1362503Z ##[endgroup] 2025-09-07T07:45:03.1373756Z Temporarily overriding HOME='/home/frank/_work/_temp/df84bc7f-7077-4661-8c4c-45609b304982' before making global git config changes 2025-09-07T07:45:03.1374691Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:45:03.1385137Z [command]/usr/bin/git config --global --add safe.directory /home/frank/_work/pytorch/pytorch 2025-09-07T07:45:03.1413587Z Deleting the contents of '/home/frank/_work/pytorch/pytorch' 2025-09-07T07:45:03.1416544Z ##[group]Initializing the repository 2025-09-07T07:45:03.1419600Z [command]/usr/bin/git init /home/frank/_work/pytorch/pytorch 2025-09-07T07:45:03.1458353Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T07:45:03.1459030Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T07:45:03.1459650Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T07:45:03.1460070Z hint: 2025-09-07T07:45:03.1460379Z hint: git config --global init.defaultBranch 2025-09-07T07:45:03.1460743Z hint: 2025-09-07T07:45:03.1461091Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T07:45:03.1461679Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T07:45:03.1462139Z hint: 2025-09-07T07:45:03.1462375Z hint: git branch -m 2025-09-07T07:45:03.1462650Z hint: 2025-09-07T07:45:03.1463020Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-09-07T07:45:03.1463672Z Initialized empty Git repository in /home/frank/_work/pytorch/pytorch/.git/ 2025-09-07T07:45:03.1467362Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T07:45:03.1504840Z ##[endgroup] 2025-09-07T07:45:03.1505416Z ##[group]Disabling automatic garbage collection 2025-09-07T07:45:03.1505871Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:45:03.1528410Z ##[endgroup] 2025-09-07T07:45:03.1528831Z ##[group]Setting up auth 2025-09-07T07:45:03.1534564Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:45:03.1559229Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T07:45:03.1759385Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:45:03.1783713Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T07:45:03.1980861Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:45:03.2010499Z ##[endgroup] 2025-09-07T07:45:03.2010941Z ##[group]Fetching the repository 2025-09-07T07:45:03.2018041Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:45:58.5839088Z From https://github.com/pytorch/pytorch 2025-09-07T07:45:58.5839628Z * [new branch] 160583 -> origin/160583 2025-09-07T07:45:58.5840151Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T07:45:58.5840863Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T07:45:58.5841501Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T07:45:58.5844797Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T07:45:58.5845426Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T07:45:58.5846112Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T07:45:58.5846819Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T07:45:58.5847393Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T07:45:58.5848037Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T07:45:58.5848661Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T07:45:58.5849256Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T07:45:58.5849832Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T07:45:58.5850437Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T07:45:58.5851025Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T07:45:58.5851635Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T07:45:58.5852377Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T07:45:58.5853256Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T07:45:58.5853879Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T07:45:58.5854508Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T07:45:58.5855176Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T07:45:58.5855699Z * [new branch] addsimde -> origin/addsimde 2025-09-07T07:45:58.5856415Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T07:45:58.5856955Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T07:45:58.5857469Z * [new branch] adi/test -> origin/adi/test 2025-09-07T07:45:58.5857974Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T07:45:58.5858506Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T07:45:58.5859066Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T07:45:58.5859734Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T07:45:58.5860357Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T07:45:58.5860922Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T07:45:58.5861528Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T07:45:58.5862141Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T07:45:58.5862699Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T07:45:58.5863313Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T07:45:58.5863983Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T07:45:58.5864587Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T07:45:58.5865169Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T07:45:58.5865972Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T07:45:58.5866675Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T07:45:58.5867299Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T07:45:58.5867914Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T07:45:58.5868517Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T07:45:58.5869155Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T07:45:58.5869751Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T07:45:58.5870310Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T07:45:58.5870898Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T07:45:58.5871475Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T07:45:58.5898999Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T07:45:58.5899632Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T07:45:58.5900238Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T07:45:58.5900826Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-09-07T07:45:58.5901390Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-09-07T07:45:58.5901963Z * [new branch] aoti-cuda-alloc -> origin/aoti-cuda-alloc 2025-09-07T07:45:58.5902518Z * [new branch] aoti_target_windows -> origin/aoti_target_windows 2025-09-07T07:45:58.5903093Z * [new branch] aoti_weight_sharing -> origin/aoti_weight_sharing 2025-09-07T07:45:58.5903734Z * [new branch] atalman-inductor-perf-cu124 -> origin/atalman-inductor-perf-cu124 2025-09-07T07:45:58.5904653Z * [new branch] atalman-inductor-perf-cu124.1 -> origin/atalman-inductor-perf-cu124.1 2025-09-07T07:45:58.5905313Z * [new branch] atalman-patch-1 -> origin/atalman-patch-1 2025-09-07T07:45:58.5905878Z * [new branch] atalman-patch-3 -> origin/atalman-patch-3 2025-09-07T07:45:58.5906429Z * [new branch] atalman-patch-4 -> origin/atalman-patch-4 2025-09-07T07:45:58.5906960Z * [new branch] atalman-patch-5 -> origin/atalman-patch-5 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2025-09-07T07:45:58.7456499Z * [new branch] xmfan/ca_fix_polyfills -> origin/xmfan/ca_fix_polyfills 2025-09-07T07:45:58.7456815Z * [new branch] xmfan/ca_jan3 -> origin/xmfan/ca_jan3 2025-09-07T07:45:58.7457015Z * [new branch] xmfan/ca_jun18 -> origin/xmfan/ca_jun18 2025-09-07T07:45:58.7457222Z * [new branch] xmfan/ca_jun24 -> origin/xmfan/ca_jun24 2025-09-07T07:45:58.7457430Z * [new branch] xmfan/ca_mem_base -> origin/xmfan/ca_mem_base 2025-09-07T07:45:58.7457635Z * [new branch] xmfan/ca_mem_fix -> origin/xmfan/ca_mem_fix 2025-09-07T07:45:58.7457868Z * [new branch] xmfan/ca_memory_fix -> origin/xmfan/ca_memory_fix 2025-09-07T07:45:58.7458124Z * [new branch] xmfan/ca_memory_fix_rebased -> origin/xmfan/ca_memory_fix_rebased 2025-09-07T07:45:58.7458393Z * [new branch] xmfan/ca_memory_fix_rebased2 -> origin/xmfan/ca_memory_fix_rebased2 2025-09-07T07:45:58.7458616Z * [new branch] xmfan/ca_move_to_cuda -> origin/xmfan/ca_move_to_cuda 2025-09-07T07:45:58.7458824Z * [new branch] xmfan/ca_nested -> origin/xmfan/ca_nested 2025-09-07T07:45:58.7459050Z * [new branch] xmfan/ca_overhead -> origin/xmfan/ca_overhead 2025-09-07T07:45:58.7459316Z * [new branch] xmfan/ca_overhead_0eba7e5451 -> origin/xmfan/ca_overhead_0eba7e5451 2025-09-07T07:45:58.7459529Z * [new branch] xmfan/ca_scalar -> origin/xmfan/ca_scalar 2025-09-07T07:45:58.7459774Z * [new branch] xmfan/ca_subclass_mem_fix -> origin/xmfan/ca_subclass_mem_fix 2025-09-07T07:45:58.7459990Z * [new branch] xmfan/ca_warm_mem -> origin/xmfan/ca_warm_mem 2025-09-07T07:45:58.7460215Z * [new branch] xmfan/ca_warm_mem_base -> origin/xmfan/ca_warm_mem_base 2025-09-07T07:45:58.7460426Z * [new branch] xmfan/cacu_jun18 -> origin/xmfan/cacu_jun18 2025-09-07T07:45:58.7460645Z * [new branch] xmfan/cacu_jun19 -> origin/xmfan/cacu_jun19 2025-09-07T07:45:58.7460854Z * [new branch] xmfan/cacu_jun4 -> origin/xmfan/cacu_jun4 2025-09-07T07:45:58.7461153Z * [new branch] xmfan/cacu_may27 -> origin/xmfan/cacu_may27 2025-09-07T07:45:58.7461406Z * [new branch] xmfan/disable_duck_shape -> origin/xmfan/disable_duck_shape 2025-09-07T07:45:58.7461705Z * [new branch] xmfan/fca_cpp_node_passthrough -> origin/xmfan/fca_cpp_node_passthrough 2025-09-07T07:45:58.7461918Z * [new branch] xmfan/issue_123374 -> origin/xmfan/issue_123374 2025-09-07T07:45:58.7462376Z * [new branch] xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T07:45:58.7462823Z * [new branch] xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T07:45:58.7463054Z * [new branch] xmfan/segfault_test -> origin/xmfan/segfault_test 2025-09-07T07:45:58.7463284Z * [new branch] xmfan/single_step -> origin/xmfan/single_step 2025-09-07T07:45:58.7463486Z * [new branch] xmfan/sth_0829 -> origin/xmfan/sth_0829 2025-09-07T07:45:58.7463672Z * [new branch] xmfan/test -> origin/xmfan/test 2025-09-07T07:45:58.7463940Z * [new branch] yguo/debug-0226-constexpr -> origin/yguo/debug-0226-constexpr 2025-09-07T07:45:58.7464175Z * [new branch] yguo/new_latest_changes -> origin/yguo/new_latest_changes 2025-09-07T07:45:58.7464464Z * [new branch] yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes 2025-09-07T07:45:58.7464681Z * [new branch] yihan_quantization -> origin/yihan_quantization 2025-09-07T07:45:58.7464975Z * [new branch] yiming/add_jit_trace_benchmark -> origin/yiming/add_jit_trace_benchmark 2025-09-07T07:45:58.7465338Z * [new branch] yiming/add_nativert_benchmark -> origin/yiming/add_nativert_benchmark 2025-09-07T07:45:58.7465552Z * [new branch] yiming/bootcamp -> origin/yiming/bootcamp 2025-09-07T07:45:58.7465779Z * [new branch] zainr/canary-test -> origin/zainr/canary-test 2025-09-07T07:45:58.7466042Z * [new branch] zainr/cleanup-gh-runners -> origin/zainr/cleanup-gh-runners 2025-09-07T07:45:58.7466279Z * [new branch] zainr/git-push-v2 -> origin/zainr/git-push-v2 2025-09-07T07:45:58.7466527Z * [new branch] zainr/pull-migration-c -> origin/zainr/pull-migration-c 2025-09-07T07:45:58.7466728Z * [new branch] zainr/test -> origin/zainr/test 2025-09-07T07:45:58.7466916Z * [new branch] zainr/test2 -> origin/zainr/test2 2025-09-07T07:45:58.7467115Z * [new branch] zainr/unstable -> origin/zainr/unstable 2025-09-07T07:45:58.7467354Z * [new branch] zainr/unstable-xla -> origin/zainr/unstable-xla 2025-09-07T07:45:58.7467580Z * [new branch] zasdfgbnm-patch-3 -> origin/zasdfgbnm-patch-3 2025-09-07T07:45:58.7467762Z * [new branch] zb2p -> origin/zb2p 2025-09-07T07:45:58.7467997Z * [new branch] zero_grad_optimization -> origin/zero_grad_optimization 2025-09-07T07:45:58.7468248Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-09-07T07:45:58.7468488Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-09-07T07:45:58.7468723Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-09-07T07:45:58.7468926Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T07:45:58.7469418Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T07:45:58.7469615Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T07:45:58.7469969Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T07:45:58.7470167Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T07:45:58.7470372Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T07:45:58.7470566Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T07:45:58.7470768Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T07:45:58.7470961Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T07:45:58.7471162Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T07:45:58.7471358Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T07:45:58.7471549Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T07:45:58.7471753Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T07:45:58.7472009Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T07:45:58.7472271Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T07:45:58.7472523Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T07:45:58.7472748Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T07:45:58.7472981Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T07:45:58.7473204Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T07:45:58.7473523Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T07:45:58.7473747Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T07:45:58.7473980Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T07:45:58.7474226Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T07:45:58.7474442Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T07:45:58.7474657Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T07:45:58.7474862Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T07:45:58.7475074Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T07:45:58.7475280Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T07:45:58.7475485Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T07:45:58.7475701Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T07:45:58.7475910Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T07:45:58.7476119Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T07:45:58.7476326Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T07:45:58.7476535Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T07:45:58.7476739Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T07:45:58.7476908Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T07:45:58.7477089Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T07:45:58.7477342Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T07:45:58.7477617Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T07:45:58.7477789Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T07:45:58.7478196Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T07:45:58.7478537Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T07:45:58.7478800Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T07:45:58.7479065Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T07:45:58.7479320Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T07:45:58.7479546Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T07:45:58.7479766Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T07:45:58.7479978Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T07:45:58.7480198Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T07:45:58.7480410Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T07:45:58.7480626Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T07:45:58.7480822Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T07:45:58.7481022Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T07:45:58.7481214Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T07:45:58.7481490Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T07:45:58.7481689Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T07:45:58.7481880Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T07:45:58.7482076Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T07:45:58.7482265Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T07:45:58.7482462Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T07:45:58.7482653Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T07:45:58.7482841Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T07:45:58.7483035Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T07:45:58.7483232Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T07:45:58.7483429Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T07:45:58.7483620Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T07:45:58.7483807Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T07:45:58.7484002Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T07:45:58.7484193Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T07:45:58.7484384Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T07:45:58.7484577Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T07:45:58.7484767Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T07:45:58.7484957Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T07:45:58.7485227Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T07:45:58.7485429Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T07:45:58.7485617Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T07:45:58.7485813Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T07:45:58.7486005Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T07:45:58.7486192Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T07:45:58.7486388Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T07:45:58.7486577Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T07:45:58.7486774Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T07:45:58.7486964Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T07:45:58.7487160Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T07:45:58.7487347Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T07:45:58.7487535Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T07:45:58.7487728Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T07:45:58.7487919Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T07:45:58.7488114Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T07:45:58.7488304Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T07:45:58.7488591Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T07:45:58.7488791Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T07:45:58.7488984Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T07:45:58.7489179Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T07:45:58.7489367Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T07:45:58.7489560Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T07:45:58.7489751Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T07:45:58.7489939Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T07:45:58.7490131Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T07:45:58.7490326Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T07:45:58.7490519Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T07:45:58.7490711Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T07:45:58.7490900Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T07:45:58.7491096Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T07:45:58.7491285Z * [new tag] ciflow/inductor/160928 -> ciflow/inductor/160928 2025-09-07T07:45:58.7491478Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T07:45:58.7491670Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T07:45:58.7491863Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T07:45:58.7492053Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T07:45:58.7492242Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T07:45:58.7492523Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T07:45:58.7492844Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T07:45:58.7493044Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T07:45:58.7493235Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T07:45:58.7493426Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T07:45:58.7493624Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T07:45:58.7493815Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T07:45:58.7494010Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T07:45:58.7494206Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T07:45:58.7494409Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T07:45:58.7494600Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T07:45:58.7494788Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T07:45:58.7494986Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T07:45:58.7495174Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T07:45:58.7495372Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T07:45:58.7495562Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T07:45:58.7495748Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T07:45:58.7496040Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T07:45:58.7496229Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T07:45:58.7496428Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T07:45:58.7496620Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T07:45:58.7496820Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T07:45:58.7497011Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T07:45:58.7497200Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T07:45:58.7497402Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T07:45:58.7497590Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T07:45:58.7497795Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T07:45:58.7497987Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T07:45:58.7498174Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T07:45:58.7498375Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T07:45:58.7498562Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T07:45:58.7498758Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T07:45:58.7498946Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T07:45:58.7499148Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T07:45:58.7499337Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T07:45:58.7499526Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T07:45:58.7499722Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T07:45:58.7500003Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T07:45:58.7500203Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T07:45:58.7500397Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T07:45:58.7500592Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T07:45:58.7500781Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T07:45:58.7500968Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T07:45:58.7501167Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T07:45:58.7501360Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T07:45:58.7501555Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T07:45:58.7501747Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T07:45:58.7501932Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T07:45:58.7502128Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T07:45:58.7502316Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T07:45:58.7502514Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T07:45:58.7502706Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T07:45:58.7502906Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T07:45:58.7503181Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T07:45:58.7503367Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T07:45:58.7503566Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T07:45:58.7503755Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T07:45:58.7503954Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T07:45:58.7504145Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T07:45:58.7504332Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T07:45:58.7504531Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T07:45:58.7504718Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T07:45:58.7504917Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T07:45:58.7505112Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T07:45:58.7505314Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T07:45:58.7505509Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T07:45:58.7505696Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T07:45:58.7505891Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T07:45:58.7506078Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T07:45:58.7506275Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T07:45:58.7506464Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T07:45:58.7506650Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T07:45:58.7506850Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T07:45:58.7507118Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T07:45:58.7507314Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T07:45:58.7507501Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T07:45:58.7507695Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T07:45:58.7507884Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T07:45:58.7508070Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T07:45:58.7508270Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T07:45:58.7508456Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T07:45:58.7508654Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T07:45:58.7508850Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T07:45:58.7509037Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T07:45:58.7509235Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T07:45:58.7509421Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T07:45:58.7509613Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T07:45:58.7509803Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T07:45:58.7510000Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T07:45:58.7510188Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T07:45:58.7510463Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T07:45:58.7510662Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T07:45:58.7510851Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T07:45:58.7511045Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T07:45:58.7511238Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T07:45:58.7511424Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T07:45:58.7511622Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T07:45:58.7511808Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T07:45:58.7512006Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T07:45:58.7512198Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T07:45:58.7512391Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T07:45:58.7512586Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T07:45:58.7512774Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T07:45:58.7512972Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T07:45:58.7513157Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T07:45:58.7513355Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T07:45:58.7513545Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T07:45:58.7513732Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T07:45:58.7513931Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T07:45:58.7514120Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T07:45:58.7514415Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T07:45:58.7514606Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T07:45:58.7514801Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T07:45:58.7514990Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T07:45:58.7515177Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T07:45:58.7515375Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T07:45:58.7515563Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T07:45:58.7515767Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T07:45:58.7515956Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T07:45:58.7516146Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T07:45:58.7516344Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T07:45:58.7516530Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T07:45:58.7516727Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T07:45:58.7516914Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T07:45:58.7517108Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T07:45:58.7517392Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T07:45:58.7517588Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T07:45:58.7517876Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T07:45:58.7518078Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T07:45:58.7518285Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T07:45:58.7518481Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T07:45:58.7518703Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T07:45:58.7518914Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T07:45:58.7519121Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T07:45:58.7519301Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T07:45:58.7519468Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T07:45:58.7519649Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T07:45:58.7519818Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T07:45:58.7519987Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T07:45:58.7520160Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T07:45:58.7520344Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T07:45:58.7520538Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T07:45:58.7520750Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T07:45:58.7521028Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T07:45:58.7521296Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T07:45:58.7521499Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T07:45:58.7521781Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T07:45:58.7521976Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T07:45:58.7522173Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T07:45:58.7522362Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T07:45:58.7522561Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T07:45:58.7522765Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T07:45:58.7522949Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T07:45:58.7523154Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T07:45:58.7523373Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T07:45:58.7523622Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T07:45:58.7523855Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T07:45:58.7524083Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T07:45:58.7524316Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T07:45:58.7524563Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T07:45:58.7524784Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T07:45:58.7524977Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T07:45:58.7525247Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T07:45:58.7525444Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T07:45:58.7525636Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T07:45:58.7525835Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T07:45:58.7526022Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T07:45:58.7526222Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T07:45:58.7526409Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T07:45:58.7526598Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T07:45:58.7526794Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T07:45:58.7526985Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T07:45:58.7527185Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T07:45:58.7527374Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T07:45:58.7527564Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T07:45:58.7527742Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T07:45:58.7527913Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T07:45:58.7528088Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T07:45:58.7528255Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T07:45:58.7528430Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T07:45:58.7528596Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T07:45:58.7528768Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T07:45:58.7529031Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T07:45:58.7529200Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T07:45:58.7529378Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T07:45:58.7529545Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T07:45:58.7529713Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T07:45:58.7529888Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T07:45:58.7530058Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T07:45:58.7530236Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T07:45:58.7530406Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T07:45:58.7530589Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T07:45:58.7530765Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T07:45:58.7531303Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T07:45:58.7531488Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T07:45:58.7531656Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T07:45:58.7531838Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T07:45:58.7532011Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T07:45:58.7532196Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T07:45:58.7532449Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T07:45:58.7532624Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T07:45:58.7532937Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T07:45:58.7533111Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T07:45:58.7533294Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T07:45:58.7533790Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T07:45:58.7533966Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T07:45:58.7534150Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T07:45:58.7534322Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T07:45:58.7534509Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T07:45:58.7534687Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T07:45:58.7535214Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T07:45:58.7535445Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T07:45:58.7535618Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T07:45:58.7535803Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T07:45:58.7535972Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T07:45:58.7536153Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T07:45:58.7536327Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T07:45:58.7536500Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T07:45:58.7536770Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T07:45:58.7536946Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T07:45:58.7537126Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T07:45:58.7537296Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T07:45:58.7537478Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T07:45:58.7537651Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T07:45:58.7537821Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T07:45:58.7538002Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T07:45:58.7538179Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T07:45:58.7538368Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T07:45:58.7538542Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T07:45:58.7538714Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T07:45:58.7538892Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T07:45:58.7539063Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T07:45:58.7539246Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T07:45:58.7539416Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T07:45:58.7539599Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T07:45:58.7539864Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T07:45:58.7540034Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T07:45:58.7540213Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T07:45:58.7540382Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T07:45:58.7540562Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T07:45:58.7540731Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T07:45:58.7540903Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T07:45:58.7541080Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T07:45:58.7541250Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T07:45:58.7541433Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T07:45:58.7541606Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T07:45:58.7541791Z * [new tag] ciflow/trunk/160928 -> ciflow/trunk/160928 2025-09-07T07:45:58.7541961Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T07:45:58.7542133Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T07:45:58.7542316Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T07:45:58.7542488Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T07:45:58.7542673Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T07:45:58.7542843Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T07:45:58.7543016Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T07:45:58.7543200Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T07:45:58.7543470Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T07:45:58.7543651Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T07:45:58.7543823Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T07:45:58.7544007Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T07:45:58.7544176Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T07:45:58.7544349Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T07:45:58.7544529Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T07:45:58.7544700Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T07:45:58.7544883Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T07:45:58.7545054Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T07:45:58.7545228Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T07:45:58.7545406Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T07:45:58.7545576Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T07:45:58.7545757Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T07:45:58.7545929Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T07:45:58.7546101Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T07:45:58.7546278Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T07:45:58.7546450Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T07:45:58.7546716Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T07:45:58.7546896Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T07:45:58.7547077Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T07:45:58.7547254Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T07:45:58.7547428Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T07:45:58.7547616Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T07:45:58.7547791Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T07:45:58.7547973Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T07:45:58.7548147Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T07:45:58.7548322Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T07:45:58.7548501Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T07:45:58.7548680Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T07:45:58.7548863Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T07:45:58.7549040Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T07:45:58.7549220Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T07:45:58.7549397Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T07:45:58.7549567Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T07:45:58.7549748Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T07:45:58.7549930Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T07:45:58.7550115Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T07:45:58.7550375Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T07:45:58.7550549Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T07:45:58.7550733Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T07:45:58.7550907Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T07:45:58.7551089Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T07:45:58.7551263Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T07:45:58.7551442Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T07:45:58.7551614Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T07:45:58.7551790Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T07:45:58.7551979Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T07:45:58.7552152Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T07:45:58.7552331Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T07:45:58.7552504Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T07:45:58.7552675Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T07:45:58.7552860Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T07:45:58.7553032Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T07:45:58.7553215Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T07:45:58.7553475Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T07:45:58.7553654Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T07:45:58.7553830Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T07:45:58.7554003Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T07:45:58.7554196Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T07:45:58.7554371Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T07:45:58.7554553Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T07:45:58.7554728Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T07:45:58.7554896Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T07:45:58.7555077Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T07:45:58.7555249Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T07:45:58.7555432Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T07:45:58.7555607Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T07:45:58.7555783Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T07:45:58.7555953Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T07:45:58.7556122Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T07:45:58.7556308Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T07:45:58.7556480Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T07:45:58.7556676Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T07:45:58.7556871Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T07:45:58.7557041Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T07:45:58.7557415Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T07:45:58.7557598Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T07:45:58.7557777Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T07:45:58.7557946Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T07:45:58.7558120Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T07:45:58.7558289Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T07:45:58.7558453Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T07:45:58.7558628Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T07:45:58.7558801Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T07:45:58.7558980Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T07:45:58.7559151Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T07:45:58.7559316Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T07:45:58.7559494Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T07:45:58.7559658Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T07:45:58.7559835Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T07:45:58.7559988Z * [new tag] cslpull75 -> cslpull75 2025-09-07T07:45:58.7560152Z * [new tag] cslpull76 -> cslpull76 2025-09-07T07:45:58.7560390Z * [new tag] cslpull77 -> cslpull77 2025-09-07T07:45:58.7560535Z * [new tag] cslpull78 -> cslpull78 2025-09-07T07:45:58.7560695Z * [new tag] cslpull79 -> cslpull79 2025-09-07T07:45:58.7560842Z * [new tag] cslpull80 -> cslpull80 2025-09-07T07:45:58.7560994Z * [new tag] cslpull81 -> cslpull81 2025-09-07T07:45:58.7561143Z * [new tag] cslpull82 -> cslpull82 2025-09-07T07:45:58.7561290Z * [new tag] cslpull83 -> cslpull83 2025-09-07T07:45:58.7561445Z * [new tag] cslpull84 -> cslpull84 2025-09-07T07:45:58.7561592Z * [new tag] cslpull85 -> cslpull85 2025-09-07T07:45:58.7561749Z * [new tag] cslpull86 -> cslpull86 2025-09-07T07:45:58.7561894Z * [new tag] cslpull87 -> cslpull87 2025-09-07T07:45:58.7562043Z * [new tag] cslpull88 -> cslpull88 2025-09-07T07:45:58.7562203Z * [new tag] cslpull89 -> cslpull89 2025-09-07T07:45:58.7562350Z * [new tag] cslpull90 -> cslpull90 2025-09-07T07:45:58.7562506Z * [new tag] cslpull91 -> cslpull91 2025-09-07T07:45:58.7562651Z * [new tag] cslpull92 -> cslpull92 2025-09-07T07:45:58.7562800Z * [new tag] flight_5 -> flight_5 2025-09-07T07:45:58.7562965Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T07:45:58.7563114Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T07:45:58.7563275Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T07:45:58.7563423Z * [new tag] forpull1 -> forpull1 2025-09-07T07:45:58.7563615Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T07:45:58.7563789Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T07:45:58.7564045Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T07:45:58.7564232Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T07:45:58.7564413Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T07:45:58.7564592Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T07:45:58.7564975Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T07:45:58.7565372Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T07:45:58.7565773Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T07:45:58.7566190Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T07:45:58.7566586Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T07:45:58.7566975Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T07:45:58.7567362Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T07:45:58.7567752Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T07:45:58.7568148Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T07:45:58.7568642Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T07:45:58.7569033Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T07:45:58.7569427Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T07:45:58.7569821Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T07:45:58.7570224Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T07:45:58.7570623Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T07:45:58.7571028Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T07:45:58.7571435Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T07:45:58.7571830Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T07:45:58.7572219Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T07:45:58.7572623Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T07:45:58.7573144Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T07:45:58.7573531Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T07:45:58.7573934Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T07:45:58.7574422Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T07:45:58.7574828Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T07:45:58.7575215Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T07:45:58.7575609Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T07:45:58.7576010Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T07:45:58.7576397Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T07:45:58.7576797Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T07:45:58.7577201Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T07:45:58.7577597Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T07:45:58.7577991Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T07:45:58.7578401Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T07:45:58.7578797Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T07:45:58.7579189Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T07:45:58.7579678Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T07:45:58.7580064Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T07:45:58.7580460Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T07:45:58.7580854Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T07:45:58.7581245Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T07:45:58.7581640Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T07:45:58.7582036Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T07:45:58.7582432Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T07:45:58.7582814Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T07:45:58.7583197Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T07:45:58.7583596Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T07:45:58.7583979Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T07:45:58.7584369Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T07:45:58.7584778Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T07:45:58.7585257Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T07:45:58.7585643Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T07:45:58.7586041Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T07:45:58.7586431Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T07:45:58.7586837Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T07:45:58.7587231Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T07:45:58.7587636Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T07:45:58.7588028Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T07:45:58.7588409Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T07:45:58.7588798Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T07:45:58.7589193Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T07:45:58.7589587Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T07:45:58.7590057Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T07:45:58.7590442Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T07:45:58.7590833Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T07:45:58.7591245Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T07:45:58.7591640Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T07:45:58.7592032Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T07:45:58.7592432Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T07:45:58.7596587Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T07:45:58.7597077Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T07:45:58.7597588Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T07:45:58.7597984Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T07:45:58.7598371Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T07:45:58.7598765Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T07:45:58.7599158Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T07:45:58.7599805Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T07:45:58.7600209Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T07:45:58.7600617Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T07:45:58.7601029Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T07:45:58.7601420Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T07:45:58.7601815Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T07:45:58.7602213Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T07:45:58.7602606Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T07:45:58.7603017Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T07:45:58.7603396Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T07:45:58.7603786Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T07:45:58.7604166Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T07:45:58.7604660Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T07:45:58.7605057Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T07:45:58.7605454Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T07:45:58.7605846Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T07:45:58.7606234Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T07:45:58.7606624Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T07:45:58.7607023Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T07:45:58.7607426Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T07:45:58.7607828Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T07:45:58.7608214Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T07:45:58.7608626Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T07:45:58.7609016Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T07:45:58.7609420Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T07:45:58.7609797Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T07:45:58.7610270Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T07:45:58.7610652Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T07:45:58.7611048Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T07:45:58.7611438Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T07:45:58.7611819Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T07:45:58.7612210Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T07:45:58.7612597Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T07:45:58.7613121Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T07:45:58.7613506Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T07:45:58.7613896Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T07:45:58.7614286Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T07:45:58.7614667Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T07:45:58.7615073Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T07:45:58.7615563Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T07:45:58.7615959Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T07:45:58.7616339Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T07:45:58.7616740Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T07:45:58.7617133Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T07:45:58.7617527Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T07:45:58.7617912Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T07:45:58.7618295Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T07:45:58.7618675Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T07:45:58.7619072Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T07:45:58.7619463Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T07:45:58.7619854Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T07:45:58.7620250Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T07:45:58.7620640Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T07:45:58.7621123Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T07:45:58.7621517Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T07:45:58.7621906Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T07:45:58.7622312Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T07:45:58.7622704Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T07:45:58.7623099Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T07:45:58.7623488Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T07:45:58.7623889Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T07:45:58.7624276Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T07:45:58.7624668Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T07:45:58.7625066Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T07:45:58.7625464Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T07:45:58.7625955Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T07:45:58.7626341Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T07:45:58.7626741Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T07:45:58.7627127Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T07:45:58.7627521Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T07:45:58.7627912Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:45:58.7628304Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T07:45:58.7628704Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T07:45:58.7629093Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T07:45:58.7629481Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T07:45:58.7629874Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T07:45:58.7630271Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T07:45:58.7630661Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T07:45:58.7631069Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T07:45:58.7631551Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T07:45:58.7631948Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T07:45:58.7632345Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T07:45:58.7632732Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T07:45:58.7633118Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T07:45:58.7633521Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T07:45:58.7633928Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T07:45:58.7634318Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T07:45:58.7634698Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T07:45:58.7635103Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T07:45:58.7635503Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T07:45:58.7635898Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T07:45:58.7636276Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T07:45:58.7636756Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T07:45:58.7637146Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T07:45:58.7637628Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T07:45:58.7638018Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T07:45:58.7638404Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T07:45:58.7638812Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T07:45:58.7639210Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T07:45:58.7639615Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T07:45:58.7640010Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T07:45:58.7640404Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T07:45:58.7640810Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T07:45:58.7641214Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T07:45:58.7641608Z * [new tag] trunk/ada43ed39c80b746b4822c92640a1882619e2795 -> trunk/ada43ed39c80b746b4822c92640a1882619e2795 2025-09-07T07:45:58.7642009Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T07:45:58.7642511Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T07:45:58.7642910Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T07:45:58.7643288Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T07:45:58.7643693Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T07:45:58.7644090Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T07:45:58.7644482Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T07:45:58.7644888Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T07:45:58.7645284Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T07:45:58.7645687Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T07:45:58.7646086Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T07:45:58.7646471Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T07:45:58.7646860Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T07:45:58.7647352Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T07:45:58.7647749Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T07:45:58.7648140Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T07:45:58.7648527Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T07:45:58.7648922Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T07:45:58.7649321Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T07:45:58.7649704Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T07:45:58.7650113Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T07:45:58.7650520Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T07:45:58.7650907Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T07:45:58.7651309Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T07:45:58.7651718Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T07:45:58.7652118Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T07:45:58.7652523Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T07:45:58.7653160Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T07:45:58.7653568Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T07:45:58.7653966Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T07:45:58.7654355Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T07:45:58.7654734Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T07:45:58.7655114Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T07:45:58.7655514Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T07:45:58.7655914Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T07:45:58.7656308Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T07:45:58.7656694Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T07:45:58.7657081Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T07:45:58.7657507Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T07:45:58.7657897Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T07:45:58.7658407Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T07:45:58.7658803Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T07:45:58.7659199Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T07:45:58.7659585Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T07:45:58.7659976Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T07:45:58.7660362Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T07:45:58.7660770Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T07:45:58.7661168Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T07:45:58.7661563Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T07:45:58.7661952Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T07:45:58.7662344Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T07:45:58.7662731Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T07:45:58.7663113Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T07:45:58.7663503Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T07:45:58.7663967Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T07:45:58.7664348Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T07:45:58.7664749Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T07:45:58.7665134Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T07:45:58.7665538Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T07:45:58.7665943Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T07:45:58.7666348Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T07:45:58.7666745Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T07:45:58.7667128Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T07:45:58.7667522Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T07:45:58.7667926Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T07:45:58.7668318Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T07:45:58.7668790Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T07:45:58.7669193Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T07:45:58.7669581Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T07:45:58.7669967Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T07:45:58.7670368Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T07:45:58.7670762Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T07:45:58.7671151Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T07:45:58.7671533Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T07:45:58.7671939Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T07:45:58.7672351Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T07:45:58.7672748Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T07:45:58.7673150Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T07:45:58.7673546Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T07:45:58.7673951Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T07:45:58.7674414Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T07:45:58.7674809Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T07:45:58.7675195Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T07:45:58.7675598Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T07:45:58.7675997Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T07:45:58.7676379Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T07:45:58.7676788Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T07:45:58.7677180Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T07:45:58.7677652Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T07:45:58.7678061Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T07:45:58.7678464Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T07:45:58.7678857Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T07:45:58.7679342Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T07:45:58.7679492Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T07:45:58.7679639Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T07:45:58.7679784Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T07:45:58.7679924Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T07:45:58.7680076Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T07:45:58.7680212Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T07:45:58.7680347Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T07:45:58.7680489Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T07:45:58.7680626Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T07:45:58.7680769Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T07:45:58.7680905Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T07:45:58.7681043Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T07:45:58.7681185Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T07:45:58.7681322Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T07:45:58.7681460Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T07:45:58.7681598Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T07:45:58.7681739Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T07:45:58.7681878Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T07:45:58.7682024Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T07:45:58.7682165Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T07:45:58.7682313Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T07:45:58.7682462Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T07:45:58.7682689Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T07:45:58.7682836Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T07:45:58.7682981Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T07:45:58.7683133Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T07:45:58.7683291Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T07:45:58.7683439Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T07:45:58.7683577Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T07:45:58.7683734Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T07:45:58.7683875Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T07:45:58.7684029Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T07:45:58.7684171Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T07:45:58.7684319Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T07:45:58.7684473Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T07:45:58.7684660Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T07:45:58.7684815Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T07:45:58.7684961Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T07:45:58.7685114Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T07:45:58.7685259Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T07:45:58.7685398Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T07:45:58.7685634Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T07:45:58.7685782Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T07:45:58.7685935Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T07:45:58.7686079Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T07:45:58.7686225Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T07:45:58.7686379Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T07:45:58.7686525Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T07:45:58.7686679Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T07:45:58.7686816Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T07:45:58.7686959Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T07:45:58.7687122Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T07:45:58.7687265Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T07:45:58.7687420Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T07:45:58.7687563Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T07:45:58.7687709Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T07:45:58.7687855Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T07:45:58.7688000Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T07:45:58.7688151Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T07:45:58.7688294Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T07:45:58.7688444Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T07:45:58.7688592Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T07:45:58.7688731Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T07:45:58.7688989Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T07:45:58.7689134Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T07:45:58.7689287Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T07:45:58.7689425Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T07:45:58.7689567Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T07:45:58.7689716Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T07:45:58.7689851Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T07:45:58.7690002Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T07:45:58.7690140Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T07:45:58.7690290Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T07:45:58.7690442Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T07:45:58.7690588Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T07:45:58.7690747Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T07:45:58.7690891Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T07:45:58.7691046Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T07:45:58.7691182Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T07:45:58.7691327Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T07:45:58.7691472Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T07:45:58.7691614Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T07:45:58.7691856Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T07:45:58.7691997Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T07:45:58.7692144Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T07:45:58.7692296Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T07:45:58.7692444Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T07:45:58.7692599Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T07:45:58.7692858Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T07:45:58.7693016Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T07:45:58.7693161Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T07:45:58.7693305Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T07:45:58.7693461Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T07:45:58.7693599Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T07:45:58.7693755Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T07:45:58.7693898Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T07:45:58.7694043Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T07:45:58.7694187Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T07:45:58.7694330Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T07:45:58.7694484Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T07:45:58.7694630Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T07:45:58.7694773Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T07:45:58.7694921Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T07:45:58.7695064Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T07:45:58.7695315Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T07:45:58.7695460Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T07:45:58.7695618Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T07:45:58.7695754Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T07:45:58.7695898Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T07:45:58.7696043Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T07:45:58.7696187Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T07:45:58.7696344Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T07:45:58.7696485Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T07:45:58.7696634Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T07:45:58.7696782Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T07:45:58.7696930Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T07:45:58.7697081Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T07:45:58.7697217Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T07:45:58.7697361Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T07:45:58.7697512Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T07:45:58.7697654Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T07:45:58.7697803Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T07:45:58.7697947Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T07:45:58.7698195Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T07:45:58.7698333Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T07:45:58.7698479Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T07:45:58.7698631Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T07:45:58.7698777Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T07:45:58.7698925Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T07:45:58.7699063Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T07:45:58.7699208Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T07:45:58.7699364Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T07:45:58.7699506Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T07:45:58.7699656Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T07:45:58.7699804Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T07:45:58.7699954Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T07:45:58.7700096Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T07:45:58.7700242Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T07:45:58.7700393Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T07:45:58.7700537Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T07:45:58.7700688Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T07:45:58.7700833Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T07:45:58.7700976Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T07:45:58.7701123Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T07:45:58.7701272Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T07:45:58.7701426Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T07:45:58.7701653Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T07:45:58.7701794Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T07:45:58.7701946Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T07:45:58.7702093Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T07:45:58.7702245Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T07:45:58.7702388Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T07:45:58.7702535Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T07:45:58.7702684Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T07:45:58.7702834Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T07:45:58.7702990Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T07:45:58.7703134Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T07:45:58.7703281Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T07:45:58.7703431Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T07:45:58.7703575Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T07:45:58.7703718Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T07:45:58.7703865Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T07:45:58.7704016Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T07:45:58.7704159Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T07:45:58.7704387Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T07:45:58.7704536Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T07:45:58.7704688Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T07:45:58.7704847Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T07:45:58.7704996Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T07:45:58.7705144Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T07:45:58.7705292Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T07:45:58.7705437Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T07:45:58.7705588Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T07:45:58.7705731Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T07:45:58.7705875Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T07:45:58.7706029Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T07:45:58.7706175Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T07:45:58.7706322Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T07:45:58.7706463Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T07:45:58.7706611Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T07:45:58.7706757Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T07:45:58.7706901Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T07:45:58.7707049Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T07:45:58.7707195Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T07:45:58.7707342Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T07:45:58.7707493Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T07:45:58.7707636Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T07:45:58.7707875Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T07:45:58.7708023Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T07:45:58.7708172Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T07:45:58.7708320Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T07:45:58.7708456Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T07:45:58.7708605Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T07:45:58.7708751Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T07:45:58.7708903Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T07:45:58.7709049Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T07:45:58.7709199Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T07:45:58.7709351Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T07:45:58.7709498Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T07:45:58.7709650Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T07:45:58.7709797Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T07:45:58.7709945Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T07:45:58.7710088Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T07:45:58.7710231Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T07:45:58.7710380Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T07:45:58.7710526Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T07:45:58.7710774Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T07:45:58.7710921Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T07:45:58.7711056Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T07:45:58.7711207Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T07:45:58.7711353Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T07:45:58.7711504Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T07:45:58.7711650Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T07:45:58.7711800Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T07:45:58.7711942Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T07:45:58.7712083Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T07:45:58.7712239Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T07:45:58.7712384Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T07:45:58.7712532Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T07:45:58.7712680Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T07:45:58.7712827Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T07:45:58.7712982Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T07:45:58.7713124Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T07:45:58.7713276Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T07:45:58.7713422Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T07:45:58.7713563Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T07:45:58.7713716Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T07:45:58.7713858Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T07:45:58.7714089Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T07:45:58.7714233Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T07:45:58.7714382Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T07:45:58.7714529Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T07:45:58.7714671Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T07:45:58.7714823Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T07:45:58.7714966Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T07:45:58.7715111Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T07:45:58.7715255Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T07:45:58.7715401Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T07:45:58.7715557Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T07:45:58.7715701Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T07:45:58.7715855Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T07:45:58.7715999Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T07:45:58.7716142Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T07:45:58.7716291Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T07:45:58.7716447Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T07:45:58.7716612Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T07:45:58.7716764Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T07:45:59.4385284Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:45:59.4408792Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:45:59.4412443Z ##[endgroup] 2025-09-07T07:45:59.4413004Z ##[group]Determining the checkout info 2025-09-07T07:45:59.4413872Z ##[endgroup] 2025-09-07T07:45:59.4417437Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:45:59.5234013Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:45:59.5317901Z ##[group]Checking out the ref 2025-09-07T07:45:59.5318414Z [command]/usr/bin/git checkout --progress 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to '93fb23d6fae7c4e82c4239a1033e522088742634'. 2025-09-07T07:46:01.0613617Z 2025-09-07T07:46:01.0613860Z You are in 'detached HEAD' state. You can look around, make experimental 2025-09-07T07:46:01.0614431Z changes and commit them, and you can discard any commits you make in this 2025-09-07T07:46:01.0614991Z state without impacting any branches by switching back to a branch. 2025-09-07T07:46:01.0615350Z 2025-09-07T07:46:01.0615563Z If you want to create a new branch to retain commits you create, you may 2025-09-07T07:46:01.0616102Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T07:46:01.0616400Z 2025-09-07T07:46:01.0616526Z git switch -c 2025-09-07T07:46:01.0616727Z 2025-09-07T07:46:01.0616850Z Or undo this operation with: 2025-09-07T07:46:01.0617034Z 2025-09-07T07:46:01.0617125Z git switch - 2025-09-07T07:46:01.0617270Z 2025-09-07T07:46:01.0617510Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T07:46:01.0617882Z 2025-09-07T07:46:01.0618065Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:46:01.0714772Z ##[endgroup] 2025-09-07T07:46:01.0715220Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:46:01.0720690Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:46:01.0873967Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:46:01.0904457Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:46:01.0982789Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:46:01.1182974Z ##[endgroup] 2025-09-07T07:46:01.1183383Z ##[group]Fetching submodules 2025-09-07T07:46:01.1186462Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:46:01.1421161Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:46:01.1885218Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T07:46:01.2073374Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T07:46:01.2280915Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T07:46:01.2414602Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T07:46:01.2600408Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T07:46:01.2743877Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T07:46:01.2873024Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T07:46:01.3061442Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T07:46:01.3197441Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T07:46:01.3360003Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T07:46:01.5073130Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T07:46:01.5084636Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T07:46:01.5133867Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T07:46:01.5309130Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T07:46:01.5412051Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T07:46:01.5540774Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T07:46:01.5698400Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T07:46:01.5834779Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T07:46:01.5976829Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:46:01.6133771Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T07:46:01.6267254Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T07:46:01.6481435Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T07:46:01.6635318Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T07:46:01.6831889Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T07:46:01.6951503Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T07:46:01.7089369Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T07:46:01.7254460Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T07:46:01.7392671Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T07:46:01.7514817Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T07:46:01.7636357Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T07:46:01.7711226Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T07:46:01.7860294Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T07:46:01.8026876Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T07:46:01.8188362Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T07:46:01.8230326Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T07:46:01.8412536Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T07:46:01.8533076Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T07:46:01.8561540Z Cloning into '/home/frank/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T07:46:02.3002911Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T07:46:02.6118705Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T07:46:02.8922986Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T07:46:03.2794301Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T07:46:03.8245352Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T07:46:05.1928011Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T07:46:16.0977447Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T07:46:20.7266728Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T07:46:21.6299810Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T07:46:25.6186819Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T07:46:26.4808680Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T07:46:27.4018747Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T07:46:28.9684734Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T07:46:31.1722028Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T07:46:32.9923567Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T07:46:33.6760995Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T07:46:35.0116979Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T07:46:36.1355427Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T07:46:36.6403943Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T07:46:37.1295136Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T07:46:38.1343339Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T07:46:38.5683917Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T07:46:39.1338584Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T07:46:41.1636840Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T07:46:41.8157157Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T07:46:42.7657269Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T07:46:49.8591168Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T07:46:52.9384202Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T07:47:00.3180431Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T07:47:00.6531278Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T07:47:09.2494968Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T07:47:09.5289847Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T07:47:09.8819986Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T07:47:10.8554623Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T07:47:11.2738892Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T07:47:12.1942056Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T07:47:12.7573774Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:47:12.7693696Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:47:12.7789300Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:47:12.8032892Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:47:12.8800430Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:47:12.9367343Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:47:13.6421711Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:47:13.8105509Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:47:13.8136537Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:47:13.8161917Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T07:47:17.3869067Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:47:17.4094558Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:47:17.7147305Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:47:17.7629101Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:47:17.8627357Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:47:17.9063987Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:47:18.5287660Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:47:18.6686433Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:47:18.6721507Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T07:47:18.6732139Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:47:18.6742462Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:47:18.6752728Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T07:47:18.6763005Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T07:47:18.6773807Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:47:18.6784014Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T07:47:18.6810065Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T07:47:19.8796249Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T07:47:21.5129331Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T07:47:22.3266632Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T07:47:24.2593292Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T07:47:25.8621497Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T07:47:26.4752929Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T07:47:33.4560401Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:47:33.9105645Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:47:34.0164507Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:47:34.6816005Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:47:34.7313926Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:47:34.7438941Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:47:34.8762823Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:47:34.9450602Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:47:34.9477132Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:47:34.9485791Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:47:34.9510541Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T07:47:38.1921747Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T07:47:40.8337576Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:47:41.3951326Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:47:41.5306686Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:47:41.5639890Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:47:41.6052272Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:47:41.6293889Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:47:41.6740988Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:47:41.6868526Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:47:41.6893517Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T07:47:41.6918984Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T07:47:56.7712704Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:47:56.8035877Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:47:56.8954741Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:47:56.9175101Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:47:56.9298001Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:47:56.9494981Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:47:56.9522771Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T07:47:57.9723736Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T07:47:59.9938355Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T07:48:01.6575562Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:48:01.6995035Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:48:01.7078305Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:48:01.7127458Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:48:01.7283029Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:48:01.7530033Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:48:01.7672539Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:48:01.8068371Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:48:01.8264830Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:48:01.8539033Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T07:48:03.7321273Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T07:48:04.4214800Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T07:48:05.9938321Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T07:48:06.6886088Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T07:48:07.5726323Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T07:48:09.5355607Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T07:48:20.6018311Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T07:48:21.6125593Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:48:21.6624578Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:48:21.7456250Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:48:21.7659376Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:48:21.7906692Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:48:21.7931126Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T07:48:22.6226896Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:48:22.6707599Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:48:22.7417079Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:48:22.8821120Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:48:22.9078238Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:48:22.9475350Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:48:23.0086225Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:48:23.0560267Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:48:23.1077567Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:48:23.2260573Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:48:24.0801701Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:48:24.1092239Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T07:48:24.1121406Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T07:48:25.5852114Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:48:25.7097011Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:48:25.7326290Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:48:25.7587348Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:48:25.7842947Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:48:25.8407197Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:48:25.8675167Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:48:25.8704041Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:48:25.9246867Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:48:25.9389429Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:48:25.9415498Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T07:48:26.8358480Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T07:48:28.3514617Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T07:48:29.0948997Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T07:48:39.1821890Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T07:48:40.1569111Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T07:48:41.2886018Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T07:48:42.3983592Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T07:48:49.6528791Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:48:49.6966644Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:48:49.7133635Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:48:49.8173298Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:48:49.8313765Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:48:49.8474961Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:48:49.8644484Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:48:49.8811161Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:48:49.8991087Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:48:49.9015766Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-09-07T07:48:51.8158983Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-09-07T07:48:53.7548507Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:48:53.8003059Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:48:54.2686117Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:48:54.2843466Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T07:48:54.7999965Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-09-07T07:48:54.9605882Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:48:55.0410993Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-09-07T07:48:55.0440175Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-09-07T07:48:56.7408452Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-09-07T07:48:58.1217473Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-09-07T07:48:58.1934983Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-09-07T07:48:58.2029423Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-09-07T07:48:58.2155036Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-09-07T07:48:58.2543185Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8' 2025-09-07T07:48:58.2885181Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-09-07T07:48:58.3328989Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-09-07T07:48:58.3587076Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075' 2025-09-07T07:48:58.3613802Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:48:58.3624250Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 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file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T07:49:03.4387300Z Entering 'third_party/nlohmann' 2025-09-07T07:49:03.4422379Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T07:49:03.4440786Z Entering 'third_party/onnx' 2025-09-07T07:49:03.4476778Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T07:49:03.4512419Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:49:03.4549880Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:49:03.4568995Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:49:03.4607572Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T07:49:03.4625990Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 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2025-09-07T07:49:04.4137753Z 7e1e1fe3858c63c251c637ae41a20de425dde96f android/libs/fbjni (v0.1.0-12-g7e1e1fe) 2025-09-07T07:49:04.4212960Z 4dfe081cf6bcd15db339cf2680b9281b8451eeb3 third_party/FP16 (4dfe081) 2025-09-07T07:49:04.4288733Z b408327ac2a15ec3e43352421954f5b1967701d1 third_party/FXdiv (b408327) 2025-09-07T07:49:04.4378833Z c07e3a0400713d546e0dea2d5466dd22ea389c73 third_party/NNPACK (c07e3a0) 2025-09-07T07:49:04.4433221Z 2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07 third_party/NVTX (v3.1.0-263-g2942f16) 2025-09-07T07:49:04.4523937Z 1d8f600fd424278486eade7ed3e877c99f0846b1 third_party/VulkanMemoryAllocator (v2.1.0-982-g1d8f600) 2025-09-07T07:49:04.5037534Z 51a0103656eff6fc9bfd39a4597923c4b542c883 third_party/XNNPACK (remotes/origin/ds/ndk-1243-g51a0103656) 2025-09-07T07:49:04.5075453Z 01aae101b9e5e94d6c16a9514c9fb8df99c93150 third_party/aiter (v0.1.1-92-g01aae101) 2025-09-07T07:49:04.5100501Z 299e5928955cc62af9968370293b916f5130916f third_party/benchmark (v1.9.3) 2025-09-07T07:49:04.5181770Z 7fe50dc3da2069d6645d9deb8c017a876472a977 third_party/composable_kernel (rocm-6.4.3-459-g7fe50dc3d) 2025-09-07T07:49:04.5319354Z 89c932f313c6437c38f2982869beacc89c2f2246 third_party/cpp-httplib (v0.26.0) 2025-09-07T07:49:04.5438453Z 5e3d2445e6a84d9599bee2bf78edbb4d80865e1d third_party/cpuinfo (5e3d244) 2025-09-07T07:49:04.5475692Z f937055efc6d414d11f4c6577e3977fe74f35fb6 third_party/cudnn_frontend (v0.5-52-gf937055) 2025-09-07T07:49:04.5574266Z e51efbfe18fe4f4cbb66ab814c55bf4aa0185491 third_party/cutlass (v4.1.0) 2025-09-07T07:49:04.5634517Z 4b39c551efe15e6bbade20565b0ceb2d8ce3352d third_party/fbgemm (v1.3.0-rc1-342-g4b39c551) 2025-09-07T07:49:04.5722369Z 979702c87a8713a8e0a5e9fee122b90d2ef13be5 third_party/flash-attention (v2.7.4) 2025-09-07T07:49:04.5748242Z a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757 third_party/flatbuffers (v24.12.23) 2025-09-07T07:49:04.6169983Z 40626af88bd7df9a5fb80be7b25ac85b122d6c21 third_party/fmt (11.2.0) 2025-09-07T07:49:04.6276323Z 3fb5c176c17c765a3492cd2f0321b0dab712f350 third_party/gemmlowp/gemmlowp (remotes/origin/revert-87-master-135-g3fb5c17) 2025-09-07T07:49:04.6399388Z c7b7b022c124d9643957d9bd55f57ac59fce8fa2 third_party/gloo (remotes/origin/gh/c-p-i-o/1/base-33-gc7b7b02) 2025-09-07T07:49:04.6644199Z 52eb8108c5bdec04579160ae17225d66034bd723 third_party/googletest (release-1.8.0-3544-g52eb8108) 2025-09-07T07:49:04.6728420Z 719d8e6cd7f7a0e01b155657526d693acf97c2b3 third_party/ideep (pytorch-rls-v3.7.1) 2025-09-07T07:49:04.6790354Z dec1d23ca65ab069d225dfe40dea14f455170959 third_party/ittapi (v3.25.5) 2025-09-07T07:49:04.7055136Z 5e7501833f1021ce6f618572d3baf657b6319658 third_party/kineto (remotes/origin/sraikund/test-98-g5e75018) 2025-09-07T07:49:04.7082845Z cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7 third_party/kleidiai (v1.8.0) 2025-09-07T07:49:04.7108297Z fbd8b99c2b828428947d70fdc046bb55609be93e third_party/mimalloc (v2.2.4) 2025-09-07T07:49:04.7133819Z 55f93686c01528224f448c19128836e7df245f72 third_party/nlohmann (v3.12.0) 2025-09-07T07:49:04.7473581Z e709452ef2bbc1d113faf678c24e6d3467696e83 third_party/onnx (v1.18.0) 2025-09-07T07:49:04.7499747Z a799f4aed9c94b765dcdaabaeab7d5e7e2310878 third_party/opentelemetry-cpp (v1.14.2) 2025-09-07T07:49:04.7527227Z 0fa0ef591e38c2758e3184c6c23e497b9f732ffa third_party/pocketfft (release_for_eigen-40-g0fa0ef5) 2025-09-07T07:49:04.7890373Z d1eca4e4b421cd2997495c4b4e65cea6be4e9b8a third_party/protobuf (v3.7.0-rc.2-1279-gd1eca4e4b) 2025-09-07T07:49:04.7963114Z 072586a71b55b7f8c584153d223e95687148a900 third_party/psimd (heads/master) 2025-09-07T07:49:04.8019787Z 4fe0e1e183925bf8cfa6aae24237e724a96479b8 third_party/pthreadpool (0.1-144-g4fe0e1e) 2025-09-07T07:49:04.8044740Z f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8 third_party/pybind11 (v3.0.1) 2025-09-07T07:49:04.8116809Z f45429b087dd7d5bc78bb40dc7cf06425c252d67 third_party/python-peachpy (remotes/origin/pre-generated) 2025-09-07T07:49:04.8195912Z 5a1d179df9cf652951b59010a2d2075372d67f68 third_party/sleef (3.8) 2025-09-07T07:49:04.8262968Z af0118d13e52f5a08841464a768e01a0bf3e3075 third_party/tensorpipe (heads/main) 2025-09-07T07:49:04.8273069Z ##[group]Cleaning the repository 2025-09-07T07:49:04.8277004Z [command]/usr/bin/git clean -ffdx 2025-09-07T07:49:04.8586969Z [command]/usr/bin/git reset --hard HEAD 2025-09-07T07:49:04.9682565Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:49:04.9702127Z ##[endgroup] 2025-09-07T07:49:04.9703803Z ##[group]Disabling automatic garbage collection 2025-09-07T07:49:04.9708278Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:49:04.9737178Z ##[endgroup] 2025-09-07T07:49:04.9737581Z ##[group]Setting up auth 2025-09-07T07:49:04.9743271Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:49:04.9771082Z [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' || :" 2025-09-07T07:49:05.0005211Z Entering 'android/libs/fbjni' 2025-09-07T07:49:05.0045325Z Entering 'third_party/FP16' 2025-09-07T07:49:05.0086292Z Entering 'third_party/FXdiv' 2025-09-07T07:49:05.0127301Z Entering 'third_party/NNPACK' 2025-09-07T07:49:05.0168790Z Entering 'third_party/NVTX' 2025-09-07T07:49:05.0210673Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:49:05.0252029Z Entering 'third_party/XNNPACK' 2025-09-07T07:49:05.0309096Z Entering 'third_party/aiter' 2025-09-07T07:49:05.0352073Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:49:05.0400820Z Entering 'third_party/benchmark' 2025-09-07T07:49:05.0442417Z Entering 'third_party/composable_kernel' 2025-09-07T07:49:05.0491489Z Entering 'third_party/cpp-httplib' 2025-09-07T07:49:05.0532791Z Entering 'third_party/cpuinfo' 2025-09-07T07:49:05.0575471Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:49:05.0648194Z Entering 'third_party/cutlass' 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Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:49:05.1304993Z Entering 'third_party/gloo' 2025-09-07T07:49:05.1345775Z Entering 'third_party/googletest' 2025-09-07T07:49:05.1387282Z Entering 'third_party/ideep' 2025-09-07T07:49:05.1426621Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:49:05.1474400Z Entering 'third_party/ittapi' 2025-09-07T07:49:05.1515248Z Entering 'third_party/kineto' 2025-09-07T07:49:05.1557371Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:49:05.1596574Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:49:05.1788611Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:49:05.1828331Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:49:05.1868666Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:49:05.1907402Z Entering 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Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:49:05.2882535Z Entering 'third_party/pocketfft' 2025-09-07T07:49:05.2923339Z Entering 'third_party/protobuf' 2025-09-07T07:49:05.2966901Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:49:05.3005936Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:49:05.3047819Z Entering 'third_party/psimd' 2025-09-07T07:49:05.3088280Z Entering 'third_party/pthreadpool' 2025-09-07T07:49:05.3129572Z Entering 'third_party/pybind11' 2025-09-07T07:49:05.3170118Z Entering 'third_party/python-peachpy' 2025-09-07T07:49:05.3211108Z Entering 'third_party/sleef' 2025-09-07T07:49:05.3252145Z Entering 'third_party/tensorpipe' 2025-09-07T07:49:05.3292922Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:49:05.3332371Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:49:05.3371296Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:49:05.3410561Z Entering 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http.https://github.com/.extraheader 2025-09-07T07:49:05.4346117Z Entering 'third_party/composable_kernel' 2025-09-07T07:49:05.4369844Z http.https://github.com/.extraheader 2025-09-07T07:49:05.4408255Z Entering 'third_party/cpp-httplib' 2025-09-07T07:49:05.4432148Z http.https://github.com/.extraheader 2025-09-07T07:49:05.4461687Z Entering 'third_party/cpuinfo' 2025-09-07T07:49:05.4485465Z http.https://github.com/.extraheader 2025-09-07T07:49:05.4517608Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:49:05.4542263Z http.https://github.com/.extraheader 2025-09-07T07:49:05.4571531Z Entering 'third_party/cutlass' 2025-09-07T07:49:05.4594978Z http.https://github.com/.extraheader 2025-09-07T07:49:05.4633000Z Entering 'third_party/fbgemm' 2025-09-07T07:49:05.4657540Z http.https://github.com/.extraheader 2025-09-07T07:49:05.4689445Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:49:05.4712676Z http.https://github.com/.extraheader 2025-09-07T07:49:05.4742513Z Entering 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http.https://github.com/.extraheader 2025-09-07T07:49:05.5611574Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:49:05.5634167Z http.https://github.com/.extraheader 2025-09-07T07:49:05.5672318Z Entering 'third_party/ittapi' 2025-09-07T07:49:05.5696241Z http.https://github.com/.extraheader 2025-09-07T07:49:05.5725526Z Entering 'third_party/kineto' 2025-09-07T07:49:05.5749549Z http.https://github.com/.extraheader 2025-09-07T07:49:05.5780943Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:49:05.5804587Z http.https://github.com/.extraheader 2025-09-07T07:49:05.5835088Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:49:05.5859208Z http.https://github.com/.extraheader 2025-09-07T07:49:05.5891219Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:49:05.5914511Z http.https://github.com/.extraheader 2025-09-07T07:49:05.5964505Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:49:05.5987651Z http.https://github.com/.extraheader 2025-09-07T07:49:05.6019951Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:49:05.6043048Z http.https://github.com/.extraheader 2025-09-07T07:49:05.6079261Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:49:05.6102591Z http.https://github.com/.extraheader 2025-09-07T07:49:05.6160056Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:49:05.6183538Z http.https://github.com/.extraheader 2025-09-07T07:49:05.6231136Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:49:05.6253895Z http.https://github.com/.extraheader 2025-09-07T07:49:05.6304463Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:49:05.6327099Z http.https://github.com/.extraheader 2025-09-07T07:49:05.6358192Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:49:05.6381943Z http.https://github.com/.extraheader 2025-09-07T07:49:05.6413285Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:49:05.6435445Z http.https://github.com/.extraheader 2025-09-07T07:49:05.6464721Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:49:05.6487683Z http.https://github.com/.extraheader 2025-09-07T07:49:05.6521669Z Entering 'third_party/kleidiai' 2025-09-07T07:49:05.6545889Z http.https://github.com/.extraheader 2025-09-07T07:49:05.6576481Z Entering 'third_party/mimalloc' 2025-09-07T07:49:05.6600782Z http.https://github.com/.extraheader 2025-09-07T07:49:05.6633081Z Entering 'third_party/nlohmann' 2025-09-07T07:49:05.6657630Z http.https://github.com/.extraheader 2025-09-07T07:49:05.6688493Z Entering 'third_party/onnx' 2025-09-07T07:49:05.6712111Z http.https://github.com/.extraheader 2025-09-07T07:49:05.6762097Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:49:05.6785693Z http.https://github.com/.extraheader 2025-09-07T07:49:05.6818118Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:49:05.6842744Z http.https://github.com/.extraheader 2025-09-07T07:49:05.6873906Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:49:05.6897964Z http.https://github.com/.extraheader 2025-09-07T07:49:05.6927010Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:49:05.6950367Z http.https://github.com/.extraheader 2025-09-07T07:49:05.6981473Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:49:05.7004435Z http.https://github.com/.extraheader 2025-09-07T07:49:05.7033817Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:49:05.7057787Z http.https://github.com/.extraheader 2025-09-07T07:49:05.7089462Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:49:05.7112492Z http.https://github.com/.extraheader 2025-09-07T07:49:05.7143708Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:49:05.7167418Z http.https://github.com/.extraheader 2025-09-07T07:49:05.7198347Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:49:05.7222051Z http.https://github.com/.extraheader 2025-09-07T07:49:05.7250805Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:49:05.7273624Z http.https://github.com/.extraheader 2025-09-07T07:49:05.7306267Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:49:05.7329227Z http.https://github.com/.extraheader 2025-09-07T07:49:05.7360904Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:49:05.7384505Z http.https://github.com/.extraheader 2025-09-07T07:49:05.7434432Z Entering 'third_party/pocketfft' 2025-09-07T07:49:05.7458887Z http.https://github.com/.extraheader 2025-09-07T07:49:05.7488254Z Entering 'third_party/protobuf' 2025-09-07T07:49:05.7512090Z http.https://github.com/.extraheader 2025-09-07T07:49:05.7545230Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:49:05.7568185Z http.https://github.com/.extraheader 2025-09-07T07:49:05.7599940Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:49:05.7624116Z http.https://github.com/.extraheader 2025-09-07T07:49:05.7656603Z Entering 'third_party/psimd' 2025-09-07T07:49:05.7680543Z http.https://github.com/.extraheader 2025-09-07T07:49:05.7710938Z Entering 'third_party/pthreadpool' 2025-09-07T07:49:05.7735135Z http.https://github.com/.extraheader 2025-09-07T07:49:05.7764222Z Entering 'third_party/pybind11' 2025-09-07T07:49:05.7788501Z http.https://github.com/.extraheader 2025-09-07T07:49:05.7818674Z Entering 'third_party/python-peachpy' 2025-09-07T07:49:05.7842844Z http.https://github.com/.extraheader 2025-09-07T07:49:05.7872507Z Entering 'third_party/sleef' 2025-09-07T07:49:05.7896740Z http.https://github.com/.extraheader 2025-09-07T07:49:05.7925785Z Entering 'third_party/tensorpipe' 2025-09-07T07:49:05.7949130Z http.https://github.com/.extraheader 2025-09-07T07:49:05.7980096Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:49:05.8002818Z http.https://github.com/.extraheader 2025-09-07T07:49:05.8032116Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:49:05.8056354Z http.https://github.com/.extraheader 2025-09-07T07:49:05.8084568Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:49:05.8107752Z http.https://github.com/.extraheader 2025-09-07T07:49:05.8137376Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:49:05.8160579Z http.https://github.com/.extraheader 2025-09-07T07:49:05.8191660Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:49:05.8214938Z http.https://github.com/.extraheader 2025-09-07T07:49:05.8263871Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:49:05.8297228Z ##[endgroup] 2025-09-07T07:49:05.8297662Z ##[group]Fetching the repository 2025-09-07T07:49:05.8304466Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:49:06.4175911Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:49:06.4199472Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:06.4204089Z ##[endgroup] 2025-09-07T07:49:06.4204512Z ##[group]Determining the checkout info 2025-09-07T07:49:06.4205484Z ##[endgroup] 2025-09-07T07:49:06.4209048Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:49:06.4408569Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:49:06.4436515Z ##[group]Checking out the ref 2025-09-07T07:49:06.4441022Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:06.4831482Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:49:06.4838206Z ##[endgroup] 2025-09-07T07:49:06.4838647Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:49:06.4842489Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:49:06.4877786Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:49:06.4902778Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:49:06.4929217Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:49:06.4952068Z ##[endgroup] 2025-09-07T07:49:06.4952526Z ##[group]Fetching submodules 2025-09-07T07:49:06.4955540Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:49:06.5183748Z Synchronizing submodule url for 'android/libs/fbjni' 2025-09-07T07:49:06.5204743Z Synchronizing submodule url for 'third_party/FP16' 2025-09-07T07:49:06.5226920Z Synchronizing submodule url for 'third_party/FXdiv' 2025-09-07T07:49:06.5248326Z Synchronizing submodule url for 'third_party/NNPACK' 2025-09-07T07:49:06.5270397Z Synchronizing submodule url for 'third_party/NVTX' 2025-09-07T07:49:06.5293235Z Synchronizing submodule url for 'third_party/VulkanMemoryAllocator' 2025-09-07T07:49:06.5314266Z Synchronizing submodule url for 'third_party/XNNPACK' 2025-09-07T07:49:06.5352010Z Synchronizing submodule url for 'third_party/aiter' 2025-09-07T07:49:06.5373709Z Synchronizing submodule url for 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:49:06.5404168Z Synchronizing submodule url for 'third_party/benchmark' 2025-09-07T07:49:06.5426250Z Synchronizing submodule url for 'third_party/composable_kernel' 2025-09-07T07:49:06.5457854Z Synchronizing submodule url for 'third_party/cpp-httplib' 2025-09-07T07:49:06.5482222Z Synchronizing submodule url for 'third_party/cpuinfo' 2025-09-07T07:49:06.5504972Z Synchronizing submodule url for 'third_party/cudnn_frontend' 2025-09-07T07:49:06.5527085Z Synchronizing submodule url for 'third_party/cutlass' 2025-09-07T07:49:06.5558454Z Synchronizing submodule url for 'third_party/fbgemm' 2025-09-07T07:49:06.5581509Z Synchronizing submodule url for 'third_party/fbgemm/external/asmjit' 2025-09-07T07:49:06.5601387Z Synchronizing submodule url for 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:49:06.5629961Z Synchronizing submodule url for 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:49:06.5650518Z Synchronizing submodule url for 'third_party/fbgemm/external/cutlass' 2025-09-07T07:49:06.5680705Z Synchronizing submodule 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2025-09-07T07:49:06.5941941Z Synchronizing submodule url for 'third_party/ideep' 2025-09-07T07:49:06.5962787Z Synchronizing submodule url for 'third_party/ideep/mkl-dnn' 2025-09-07T07:49:06.5991668Z Synchronizing submodule url for 'third_party/ittapi' 2025-09-07T07:49:06.6014333Z Synchronizing submodule url for 'third_party/kineto' 2025-09-07T07:49:06.6036012Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:49:06.6055311Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:49:06.6076824Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:49:06.6097684Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:49:06.6118347Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:49:06.6139241Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:49:06.6161028Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:49:06.6182143Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:49:06.6203192Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:49:06.6224944Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:49:06.6246692Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:49:06.6267020Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:49:06.6289931Z Synchronizing submodule url for 'third_party/kleidiai' 2025-09-07T07:49:06.6312474Z Synchronizing submodule url for 'third_party/mimalloc' 2025-09-07T07:49:06.6334845Z Synchronizing submodule url for 'third_party/nlohmann' 2025-09-07T07:49:06.6358213Z Synchronizing submodule url for 'third_party/onnx' 2025-09-07T07:49:06.6396259Z Synchronizing submodule url for 'third_party/onnx/third_party/pybind11' 2025-09-07T07:49:06.6420686Z Synchronizing submodule url for 'third_party/opentelemetry-cpp' 2025-09-07T07:49:06.6442078Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:49:06.6461440Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:49:06.6481491Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:49:06.6501992Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:49:06.6523441Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:49:06.6543532Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:49:06.6563602Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:49:06.6582647Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:49:06.6604339Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:49:06.6626690Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:49:06.6666560Z Synchronizing submodule url for 'third_party/pocketfft' 2025-09-07T07:49:06.6688911Z Synchronizing submodule url for 'third_party/protobuf' 2025-09-07T07:49:06.6711683Z Synchronizing submodule url for 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:49:06.6731038Z Synchronizing submodule url for 'third_party/protobuf/third_party/googletest' 2025-09-07T07:49:06.6755000Z Synchronizing submodule url for 'third_party/psimd' 2025-09-07T07:49:06.6777290Z Synchronizing submodule url for 'third_party/pthreadpool' 2025-09-07T07:49:06.6798727Z Synchronizing submodule url for 'third_party/pybind11' 2025-09-07T07:49:06.6821379Z Synchronizing submodule url for 'third_party/python-peachpy' 2025-09-07T07:49:06.6843315Z Synchronizing submodule url for 'third_party/sleef' 2025-09-07T07:49:06.6866220Z Synchronizing submodule url for 'third_party/tensorpipe' 2025-09-07T07:49:06.6886587Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:49:06.6906422Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:49:06.6925793Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:49:06.6946217Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:49:06.6964965Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:49:06.6995940Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:49:06.7356682Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:49:06.7476945Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:49:06.7563784Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:49:06.7799417Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:49:06.8761555Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:49:06.9148050Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:49:07.9697015Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:49:08.2112593Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:49:08.5295032Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:49:08.5495970Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:49:08.9197921Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:49:08.9863790Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:49:09.1309230Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:49:09.1822734Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:49:10.0288197Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:49:10.1752725Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:49:10.2482367Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:49:10.5609081Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:49:10.5950964Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:49:11.5724568Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:49:11.6126389Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:49:11.6259809Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:49:11.7408890Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:49:11.8265966Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:49:12.1207534Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:49:12.7177107Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:49:13.0504010Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:49:13.0838755Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:49:13.1279606Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:49:13.1503308Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:49:13.1888336Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:49:13.2021745Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:49:14.1271503Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:49:14.1494218Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:49:14.2530099Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:49:14.4262490Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:49:14.6380295Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:49:14.6535807Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:49:14.6869875Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:49:14.7009679Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:49:14.7100079Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:49:14.7256447Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:49:14.7635107Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:49:14.8606685Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:49:14.8765751Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:49:14.9065016Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:49:14.9216700Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:49:14.9690505Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:49:15.0297573Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:49:15.1584489Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:49:15.2162335Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:49:15.2509763Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:49:15.3186765Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:49:15.3359615Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:49:15.3739098Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:49:15.3863329Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:49:15.5025227Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:49:15.5177434Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:49:15.5319965Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:49:15.5453595Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:49:15.8723904Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:49:15.9108590Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:49:16.0886781Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:49:16.1002125Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T07:49:16.3830726Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-09-07T07:49:16.3968098Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-09-07T07:49:16.4408357Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-09-07T07:49:16.4502348Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-09-07T07:49:16.4652819Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-09-07T07:49:16.5026506Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8' 2025-09-07T07:49:16.5526797Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-09-07T07:49:16.6066014Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-09-07T07:49:16.6285075Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075' 2025-09-07T07:49:16.6662183Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-09-07T07:49:16.6814762Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-09-07T07:49:16.7373616Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-09-07T07:49:16.7620929Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' 2025-09-07T07:49:16.7706931Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' 2025-09-07T07:49:16.7742346Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-09-07T07:49:16.7974449Z Entering 'android/libs/fbjni' 2025-09-07T07:49:16.8012424Z Entering 'third_party/FP16' 2025-09-07T07:49:16.8051744Z Entering 'third_party/FXdiv' 2025-09-07T07:49:16.8090190Z Entering 'third_party/NNPACK' 2025-09-07T07:49:16.8127056Z Entering 'third_party/NVTX' 2025-09-07T07:49:16.8164954Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:49:16.8202132Z Entering 'third_party/XNNPACK' 2025-09-07T07:49:16.8255417Z Entering 'third_party/aiter' 2025-09-07T07:49:16.8293485Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:49:16.8338301Z Entering 'third_party/benchmark' 2025-09-07T07:49:16.8375566Z Entering 'third_party/composable_kernel' 2025-09-07T07:49:16.8422872Z Entering 'third_party/cpp-httplib' 2025-09-07T07:49:16.8461987Z Entering 'third_party/cpuinfo' 2025-09-07T07:49:16.8502347Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:49:16.8539760Z Entering 'third_party/cutlass' 2025-09-07T07:49:16.8587572Z Entering 'third_party/fbgemm' 2025-09-07T07:49:16.8626956Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:49:16.8664497Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:49:16.8711375Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:49:16.8747480Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:49:16.8793864Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:49:16.8830582Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:49:16.8866208Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:49:16.8906586Z Entering 'third_party/flash-attention' 2025-09-07T07:49:16.8943743Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:49:16.8987902Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:49:16.9032554Z Entering 'third_party/flatbuffers' 2025-09-07T07:49:16.9072356Z Entering 'third_party/fmt' 2025-09-07T07:49:16.9110554Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:49:16.9146970Z Entering 'third_party/gloo' 2025-09-07T07:49:16.9184621Z Entering 'third_party/googletest' 2025-09-07T07:49:16.9221388Z Entering 'third_party/ideep' 2025-09-07T07:49:16.9260006Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:49:16.9304744Z Entering 'third_party/ittapi' 2025-09-07T07:49:16.9343045Z Entering 'third_party/kineto' 2025-09-07T07:49:16.9414810Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:49:16.9452338Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:49:16.9493694Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:49:16.9531390Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:49:16.9567568Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:49:16.9604298Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:49:16.9652283Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:49:16.9691949Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:49:16.9729632Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:49:16.9768721Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:49:16.9812826Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:49:16.9849764Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:49:16.9889895Z Entering 'third_party/kleidiai' 2025-09-07T07:49:16.9931255Z Entering 'third_party/mimalloc' 2025-09-07T07:49:16.9971764Z Entering 'third_party/nlohmann' 2025-09-07T07:49:17.0010152Z Entering 'third_party/onnx' 2025-09-07T07:49:17.0073536Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:49:17.0112746Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:49:17.0156629Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:49:17.0195017Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:49:17.0232413Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:49:17.0269102Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:49:17.0308397Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:49:17.0345797Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:49:17.0383114Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:49:17.0419248Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:49:17.0456827Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:49:17.0497429Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:49:17.0555434Z Entering 'third_party/pocketfft' 2025-09-07T07:49:17.0592126Z Entering 'third_party/protobuf' 2025-09-07T07:49:17.0634399Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:49:17.0671749Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:49:17.0709135Z Entering 'third_party/psimd' 2025-09-07T07:49:17.0754352Z Entering 'third_party/pthreadpool' 2025-09-07T07:49:17.0792147Z Entering 'third_party/pybind11' 2025-09-07T07:49:17.0829676Z Entering 'third_party/python-peachpy' 2025-09-07T07:49:17.0868131Z Entering 'third_party/sleef' 2025-09-07T07:49:17.0907747Z Entering 'third_party/tensorpipe' 2025-09-07T07:49:17.0946763Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:49:17.0983380Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:49:17.1020839Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:49:17.1065482Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:49:17.1103667Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:49:17.1152121Z ##[endgroup] 2025-09-07T07:49:17.1152562Z ##[group]Persisting credentials for submodules 2025-09-07T07:49:17.1158823Z [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' || :" 2025-09-07T07:49:17.1388291Z Entering 'android/libs/fbjni' 2025-09-07T07:49:17.1412904Z url.https://github.com/.insteadof 2025-09-07T07:49:17.1413272Z url.https://github.com/.insteadof 2025-09-07T07:49:17.1443672Z Entering 'third_party/FP16' 2025-09-07T07:49:17.1468748Z url.https://github.com/.insteadof 2025-09-07T07:49:17.1469090Z url.https://github.com/.insteadof 2025-09-07T07:49:17.1514756Z Entering 'third_party/FXdiv' 2025-09-07T07:49:17.1540065Z url.https://github.com/.insteadof 2025-09-07T07:49:17.1540397Z url.https://github.com/.insteadof 2025-09-07T07:49:17.1600341Z Entering 'third_party/NNPACK' 2025-09-07T07:49:17.1624613Z url.https://github.com/.insteadof 2025-09-07T07:49:17.1624967Z url.https://github.com/.insteadof 2025-09-07T07:49:17.1711121Z Entering 'third_party/NVTX' 2025-09-07T07:49:17.1735647Z url.https://github.com/.insteadof 2025-09-07T07:49:17.1735998Z url.https://github.com/.insteadof 2025-09-07T07:49:17.1801449Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:49:17.1825670Z url.https://github.com/.insteadof 2025-09-07T07:49:17.1826041Z url.https://github.com/.insteadof 2025-09-07T07:49:17.1868458Z Entering 'third_party/XNNPACK' 2025-09-07T07:49:17.1892890Z url.https://github.com/.insteadof 2025-09-07T07:49:17.1893254Z url.https://github.com/.insteadof 2025-09-07T07:49:17.1990041Z Entering 'third_party/aiter' 2025-09-07T07:49:17.2014566Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2014916Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2050843Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:49:17.2074253Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2074600Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2123639Z Entering 'third_party/benchmark' 2025-09-07T07:49:17.2147921Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2148273Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2179773Z Entering 'third_party/composable_kernel' 2025-09-07T07:49:17.2204420Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2204754Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2251197Z Entering 'third_party/cpp-httplib' 2025-09-07T07:49:17.2274647Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2274986Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2321715Z Entering 'third_party/cpuinfo' 2025-09-07T07:49:17.2346314Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2346665Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2377830Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:49:17.2402171Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2402501Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2444762Z Entering 'third_party/cutlass' 2025-09-07T07:49:17.2469373Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2469717Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2509368Z Entering 'third_party/fbgemm' 2025-09-07T07:49:17.2534330Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2534667Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2569189Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:49:17.2592853Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2593192Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2623152Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:49:17.2646165Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2646524Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2687575Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:49:17.2710915Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2711269Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2765021Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:49:17.2789217Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2789568Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2829697Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:49:17.2853279Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2853637Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2886240Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:49:17.2909554Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2909913Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2940931Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:49:17.2965093Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2965436Z url.https://github.com/.insteadof 2025-09-07T07:49:17.2999906Z Entering 'third_party/flash-attention' 2025-09-07T07:49:17.3025033Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3025390Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3056309Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:49:17.3079353Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3079703Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3115460Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:49:17.3139794Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3140138Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3178646Z Entering 'third_party/flatbuffers' 2025-09-07T07:49:17.3203640Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3203986Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3236571Z Entering 'third_party/fmt' 2025-09-07T07:49:17.3261828Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3262185Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3291592Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:49:17.3316339Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3316674Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3347073Z Entering 'third_party/gloo' 2025-09-07T07:49:17.3371448Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3371802Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3404492Z Entering 'third_party/googletest' 2025-09-07T07:49:17.3429195Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3429551Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3461266Z Entering 'third_party/ideep' 2025-09-07T07:49:17.3486439Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3486760Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3516099Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:49:17.3539445Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3539798Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3577590Z Entering 'third_party/ittapi' 2025-09-07T07:49:17.3602969Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3603320Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3633075Z Entering 'third_party/kineto' 2025-09-07T07:49:17.3658708Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3659055Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3688052Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:49:17.3711818Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3712180Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3745118Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:49:17.3768689Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3769014Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3802950Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:49:17.3826788Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3827145Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3858497Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:49:17.3882240Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3882588Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3914659Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:49:17.3939348Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3939691Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3968235Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:49:17.3992117Z url.https://github.com/.insteadof 2025-09-07T07:49:17.3992477Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4025403Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:49:17.4049015Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4049377Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4079730Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:49:17.4103811Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4104172Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4134781Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:49:17.4158418Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4158776Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4190119Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:49:17.4214703Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4215049Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4247751Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:49:17.4271619Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4271985Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4304032Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:49:17.4327303Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4327645Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4359645Z Entering 'third_party/kleidiai' 2025-09-07T07:49:17.4383944Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4384272Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4414256Z Entering 'third_party/mimalloc' 2025-09-07T07:49:17.4439278Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4439621Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4469876Z Entering 'third_party/nlohmann' 2025-09-07T07:49:17.4494484Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4494835Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4528266Z Entering 'third_party/onnx' 2025-09-07T07:49:17.4552262Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4552603Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4603542Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:49:17.4627315Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4627672Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4660270Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:49:17.4685365Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4685718Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4717703Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:49:17.4741297Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4741711Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4770463Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:49:17.4794111Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4794468Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4824222Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:49:17.4848290Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4848629Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4877919Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:49:17.4902157Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4902524Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4933293Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:49:17.4956166Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4956516Z url.https://github.com/.insteadof 2025-09-07T07:49:17.4985890Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:49:17.5009621Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5009966Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5040173Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:49:17.5063352Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5063703Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5095708Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:49:17.5118878Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5119213Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5150836Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:49:17.5175506Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5175860Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5209206Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:49:17.5232343Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5232702Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5282243Z Entering 'third_party/pocketfft' 2025-09-07T07:49:17.5306895Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5307229Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5337761Z Entering 'third_party/protobuf' 2025-09-07T07:49:17.5362290Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5362637Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5395129Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:49:17.5418782Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5419137Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5448163Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:49:17.5472378Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5472721Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5504525Z Entering 'third_party/psimd' 2025-09-07T07:49:17.5529076Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5529428Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5559542Z Entering 'third_party/pthreadpool' 2025-09-07T07:49:17.5584131Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5584484Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5613607Z Entering 'third_party/pybind11' 2025-09-07T07:49:17.5638511Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5638843Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5668352Z Entering 'third_party/python-peachpy' 2025-09-07T07:49:17.5693156Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5693700Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5723064Z Entering 'third_party/sleef' 2025-09-07T07:49:17.5746636Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5747004Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5777552Z Entering 'third_party/tensorpipe' 2025-09-07T07:49:17.5802089Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5802437Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5835199Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:49:17.5858301Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5858660Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5887796Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:49:17.5911327Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5911667Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5941686Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:49:17.5964243Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5964599Z url.https://github.com/.insteadof 2025-09-07T07:49:17.5996443Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:49:17.6021095Z url.https://github.com/.insteadof 2025-09-07T07:49:17.6021455Z url.https://github.com/.insteadof 2025-09-07T07:49:17.6049662Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:49:17.6073287Z url.https://github.com/.insteadof 2025-09-07T07:49:17.6073630Z url.https://github.com/.insteadof 2025-09-07T07:49:17.6123514Z [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" 2025-09-07T07:49:17.6359153Z Entering 'android/libs/fbjni' 2025-09-07T07:49:17.6395249Z file:/home/frank/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:49:17.6413006Z Entering 'third_party/FP16' 2025-09-07T07:49:17.6449706Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:49:17.6467188Z Entering 'third_party/FXdiv' 2025-09-07T07:49:17.6504579Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:49:17.6521806Z Entering 'third_party/NNPACK' 2025-09-07T07:49:17.6558791Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-09-07T07:49:17.6577126Z Entering 'third_party/NVTX' 2025-09-07T07:49:17.6614233Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-09-07T07:49:17.6632644Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:49:17.6669338Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-09-07T07:49:17.6687400Z Entering 'third_party/XNNPACK' 2025-09-07T07:49:17.6727313Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-09-07T07:49:17.6760722Z Entering 'third_party/aiter' 2025-09-07T07:49:17.6797448Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-09-07T07:49:17.6816038Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:49:17.6850994Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-09-07T07:49:17.6876933Z Entering 'third_party/benchmark' 2025-09-07T07:49:17.6913998Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:49:17.6931503Z Entering 'third_party/composable_kernel' 2025-09-07T07:49:17.6967429Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-09-07T07:49:17.6993891Z Entering 'third_party/cpp-httplib' 2025-09-07T07:49:17.7030367Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2025-09-07T07:49:17.7047938Z Entering 'third_party/cpuinfo' 2025-09-07T07:49:17.7086362Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-09-07T07:49:17.7105008Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:49:17.7143540Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-09-07T07:49:17.7161688Z Entering 'third_party/cutlass' 2025-09-07T07:49:17.7197595Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-09-07T07:49:17.7224705Z Entering 'third_party/fbgemm' 2025-09-07T07:49:17.7263111Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-09-07T07:49:17.7282861Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:49:17.7318403Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-09-07T07:49:17.7335516Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:49:17.7372391Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-09-07T07:49:17.7396730Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:49:17.7435205Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-09-07T07:49:17.7453116Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:49:17.7488521Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-09-07T07:49:17.7515492Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:49:17.7551454Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-09-07T07:49:17.7568928Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:49:17.7604331Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-09-07T07:49:17.7621078Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:49:17.7657259Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-09-07T07:49:17.7677176Z Entering 'third_party/flash-attention' 2025-09-07T07:49:17.7715959Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-09-07T07:49:17.7734099Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:49:17.7770461Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-09-07T07:49:17.7792583Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:49:17.7828598Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-09-07T07:49:17.7855119Z Entering 'third_party/flatbuffers' 2025-09-07T07:49:17.7891310Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-09-07T07:49:17.7912064Z Entering 'third_party/fmt' 2025-09-07T07:49:17.7949291Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:49:17.7966981Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:49:17.8003637Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-09-07T07:49:17.8022037Z Entering 'third_party/gloo' 2025-09-07T07:49:17.8058293Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-09-07T07:49:17.8075860Z Entering 'third_party/googletest' 2025-09-07T07:49:17.8113461Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:49:17.8132250Z Entering 'third_party/ideep' 2025-09-07T07:49:17.8167432Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-09-07T07:49:17.8184181Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:49:17.8219412Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-09-07T07:49:17.8244796Z Entering 'third_party/ittapi' 2025-09-07T07:49:17.8280886Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T07:49:17.8298985Z Entering 'third_party/kineto' 2025-09-07T07:49:17.8337556Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-09-07T07:49:17.8355207Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:49:17.8391616Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-09-07T07:49:17.8408160Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:49:17.8446424Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-09-07T07:49:17.8465242Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:49:17.8501391Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T07:49:17.8517925Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:49:17.8554238Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:49:17.8570834Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:49:17.8606551Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-09-07T07:49:17.8622898Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:49:17.8659289Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2025-09-07T07:49:17.8677410Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:49:17.8715359Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T07:49:17.8732393Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:49:17.8768558Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:49:17.8786130Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:49:17.8822371Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2025-09-07T07:49:17.8840028Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:49:17.8877194Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2025-09-07T07:49:17.8895900Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:49:17.8931355Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2025-09-07T07:49:17.8948245Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:49:17.8984594Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T07:49:17.9003730Z Entering 'third_party/kleidiai' 2025-09-07T07:49:17.9039552Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-09-07T07:49:17.9058013Z Entering 'third_party/mimalloc' 2025-09-07T07:49:17.9094489Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T07:49:17.9112194Z Entering 'third_party/nlohmann' 2025-09-07T07:49:17.9152562Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T07:49:17.9171661Z Entering 'third_party/onnx' 2025-09-07T07:49:17.9208201Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T07:49:17.9243249Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:49:17.9279665Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:49:17.9300510Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:49:17.9338243Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T07:49:17.9357105Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:49:17.9392348Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:49:17.9409277Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:49:17.9444607Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:49:17.9461997Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:49:17.9497703Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T07:49:17.9513731Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:49:17.9549988Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T07:49:17.9568245Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:49:17.9602940Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T07:49:17.9619733Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:49:17.9654638Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2025-09-07T07:49:17.9670815Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:49:17.9706831Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2025-09-07T07:49:17.9722829Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:49:17.9758004Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2025-09-07T07:49:17.9777043Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:49:17.9815512Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-09-07T07:49:17.9833349Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:49:17.9868828Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T07:49:17.9906783Z Entering 'third_party/pocketfft' 2025-09-07T07:49:17.9942691Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T07:49:17.9960046Z Entering 'third_party/protobuf' 2025-09-07T07:49:17.9997691Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T07:49:18.0018169Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:49:18.0054931Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:49:18.0070991Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:49:18.0107875Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:49:18.0126463Z Entering 'third_party/psimd' 2025-09-07T07:49:18.0164303Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2025-09-07T07:49:18.0182408Z Entering 'third_party/pthreadpool' 2025-09-07T07:49:18.0219002Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2025-09-07T07:49:18.0236230Z Entering 'third_party/pybind11' 2025-09-07T07:49:18.0271937Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:49:18.0290030Z Entering 'third_party/python-peachpy' 2025-09-07T07:49:18.0326613Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2025-09-07T07:49:18.0344531Z Entering 'third_party/sleef' 2025-09-07T07:49:18.0381699Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2025-09-07T07:49:18.0399395Z Entering 'third_party/tensorpipe' 2025-09-07T07:49:18.0436519Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2025-09-07T07:49:18.0453754Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:49:18.0489296Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:49:18.0506638Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:49:18.0542937Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-09-07T07:49:18.0558717Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:49:18.0594543Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-09-07T07:49:18.0612146Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:49:18.0651785Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:49:18.0668321Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:49:18.0703879Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-09-07T07:49:18.0909665Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T07:49:18.1137739Z Entering 'android/libs/fbjni' 2025-09-07T07:49:18.1173704Z Entering 'third_party/FP16' 2025-09-07T07:49:18.1209395Z Entering 'third_party/FXdiv' 2025-09-07T07:49:18.1245963Z Entering 'third_party/NNPACK' 2025-09-07T07:49:18.1283006Z Entering 'third_party/NVTX' 2025-09-07T07:49:18.1320506Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:49:18.1356852Z Entering 'third_party/XNNPACK' 2025-09-07T07:49:18.1408540Z Entering 'third_party/aiter' 2025-09-07T07:49:18.1445350Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:49:18.1487236Z Entering 'third_party/benchmark' 2025-09-07T07:49:18.1523488Z Entering 'third_party/composable_kernel' 2025-09-07T07:49:18.1568120Z Entering 'third_party/cpp-httplib' 2025-09-07T07:49:18.1604499Z Entering 'third_party/cpuinfo' 2025-09-07T07:49:18.1640073Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:49:18.1675664Z Entering 'third_party/cutlass' 2025-09-07T07:49:18.1719600Z Entering 'third_party/fbgemm' 2025-09-07T07:49:18.1758988Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:49:18.1792718Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:49:18.1833683Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:49:18.1868938Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:49:18.1913577Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:49:18.1947622Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:49:18.1981737Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:49:18.2020145Z Entering 'third_party/flash-attention' 2025-09-07T07:49:18.2057479Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:49:18.2098603Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:49:18.2141370Z Entering 'third_party/flatbuffers' 2025-09-07T07:49:18.2181587Z Entering 'third_party/fmt' 2025-09-07T07:49:18.2217727Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:49:18.2253944Z Entering 'third_party/gloo' 2025-09-07T07:49:18.2290083Z Entering 'third_party/googletest' 2025-09-07T07:49:18.2327518Z Entering 'third_party/ideep' 2025-09-07T07:49:18.2363726Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:49:18.2407596Z Entering 'third_party/ittapi' 2025-09-07T07:49:18.2443995Z Entering 'third_party/kineto' 2025-09-07T07:49:18.2480701Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:49:18.2515517Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:49:18.2551998Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:49:18.2587879Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:49:18.2621530Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:49:18.2655210Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:49:18.2691170Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:49:18.2727439Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:49:18.2762690Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:49:18.2798987Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:49:18.2835394Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:49:18.2869904Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:49:18.2905689Z Entering 'third_party/kleidiai' 2025-09-07T07:49:18.2942008Z Entering 'third_party/mimalloc' 2025-09-07T07:49:18.2978560Z Entering 'third_party/nlohmann' 2025-09-07T07:49:18.3017394Z Entering 'third_party/onnx' 2025-09-07T07:49:18.3072082Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:49:18.3109453Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:49:18.3146917Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:49:18.3182219Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:49:18.3217324Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:49:18.3251252Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:49:18.3287040Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:49:18.3321436Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:49:18.3356450Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:49:18.3390056Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:49:18.3426089Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:49:18.3462211Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:49:18.3518853Z Entering 'third_party/pocketfft' 2025-09-07T07:49:18.3559751Z Entering 'third_party/protobuf' 2025-09-07T07:49:18.3599225Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:49:18.3633218Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:49:18.3670984Z Entering 'third_party/psimd' 2025-09-07T07:49:18.3707956Z Entering 'third_party/pthreadpool' 2025-09-07T07:49:18.3746410Z Entering 'third_party/pybind11' 2025-09-07T07:49:18.3785178Z Entering 'third_party/python-peachpy' 2025-09-07T07:49:18.3821985Z Entering 'third_party/sleef' 2025-09-07T07:49:18.3858651Z Entering 'third_party/tensorpipe' 2025-09-07T07:49:18.3894530Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:49:18.3928303Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:49:18.3962987Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:49:18.3999054Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:49:18.4032737Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:49:18.4082916Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-07T07:49:18.4310253Z Entering 'android/libs/fbjni' 2025-09-07T07:49:18.4345929Z Entering 'third_party/FP16' 2025-09-07T07:49:18.4381661Z Entering 'third_party/FXdiv' 2025-09-07T07:49:18.4421642Z Entering 'third_party/NNPACK' 2025-09-07T07:49:18.4459613Z Entering 'third_party/NVTX' 2025-09-07T07:49:18.4496413Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:49:18.4534164Z Entering 'third_party/XNNPACK' 2025-09-07T07:49:18.4587607Z Entering 'third_party/aiter' 2025-09-07T07:49:18.4625835Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:49:18.4668839Z Entering 'third_party/benchmark' 2025-09-07T07:49:18.4705289Z Entering 'third_party/composable_kernel' 2025-09-07T07:49:18.4750893Z Entering 'third_party/cpp-httplib' 2025-09-07T07:49:18.4787621Z Entering 'third_party/cpuinfo' 2025-09-07T07:49:18.4825076Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:49:18.4862260Z Entering 'third_party/cutlass' 2025-09-07T07:49:18.4910364Z Entering 'third_party/fbgemm' 2025-09-07T07:49:18.4949365Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:49:18.4983938Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:49:18.5026827Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:49:18.5065238Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:49:18.5111597Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:49:18.5146144Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:49:18.5181565Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:49:18.5219875Z Entering 'third_party/flash-attention' 2025-09-07T07:49:18.5257617Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:49:18.5298415Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:49:18.5342644Z Entering 'third_party/flatbuffers' 2025-09-07T07:49:18.5383755Z Entering 'third_party/fmt' 2025-09-07T07:49:18.5420872Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:49:18.5460493Z Entering 'third_party/gloo' 2025-09-07T07:49:18.5497189Z Entering 'third_party/googletest' 2025-09-07T07:49:18.5536629Z Entering 'third_party/ideep' 2025-09-07T07:49:18.5573333Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:49:18.5617430Z Entering 'third_party/ittapi' 2025-09-07T07:49:18.5654336Z Entering 'third_party/kineto' 2025-09-07T07:49:18.5692141Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:49:18.5726662Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:49:18.5763984Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:49:18.5801370Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:49:18.5836950Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:49:18.5871953Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:49:18.5908263Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:49:18.5943509Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:49:18.5979676Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:49:18.6016778Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:49:18.6053867Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:49:18.6088324Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:49:18.6125188Z Entering 'third_party/kleidiai' 2025-09-07T07:49:18.6164525Z Entering 'third_party/mimalloc' 2025-09-07T07:49:18.6201057Z Entering 'third_party/nlohmann' 2025-09-07T07:49:18.6239105Z Entering 'third_party/onnx' 2025-09-07T07:49:18.6292262Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:49:18.6330647Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:49:18.6368680Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:49:18.6403896Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:49:18.6439384Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:49:18.6476786Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:49:18.6513429Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:49:18.6548517Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:49:18.6582918Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:49:18.6616940Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:49:18.6653588Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:49:18.6689677Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:49:18.6745163Z Entering 'third_party/pocketfft' 2025-09-07T07:49:18.6782262Z Entering 'third_party/protobuf' 2025-09-07T07:49:18.6821614Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:49:18.6856474Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:49:18.6895176Z Entering 'third_party/psimd' 2025-09-07T07:49:18.6957083Z Entering 'third_party/pthreadpool' 2025-09-07T07:49:18.6994048Z Entering 'third_party/pybind11' 2025-09-07T07:49:18.7060965Z Entering 'third_party/python-peachpy' 2025-09-07T07:49:18.7097854Z Entering 'third_party/sleef' 2025-09-07T07:49:18.7133250Z Entering 'third_party/tensorpipe' 2025-09-07T07:49:18.7168380Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:49:18.7202937Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:49:18.7237884Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:49:18.7273829Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:49:18.7308511Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:49:18.7354123Z ##[endgroup] 2025-09-07T07:49:18.7389155Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T07:49:18.7410750Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:18.7583360Z Prepare all required actions 2025-09-07T07:49:18.7583941Z Getting action download info 2025-09-07T07:49:18.9283129Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T07:49:18.9283459Z env: 2025-09-07T07:49:18.9283683Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:18.9283936Z ##[endgroup] 2025-09-07T07:49:18.9320976Z ##[group]Run set -euo pipefail 2025-09-07T07:49:18.9321355Z set -euo pipefail 2025-09-07T07:49:18.9321646Z function get_ec2_metadata() { 2025-09-07T07:49:18.9322047Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T07:49:18.9322707Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T07:49:18.9323490Z  category=$1 2025-09-07T07:49:18.9323870Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T07:49:18.9324329Z  runner_name_str=i-04318a58cd30ea7bb-1006 2025-09-07T07:49:18.9324747Z  if [[ -f /.inarc ]]; then 2025-09-07T07:49:18.9325103Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T07:49:18.9325488Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T07:49:18.9325976Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T07:49:18.9326419Z  else 2025-09-07T07:49:18.9327311Z  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}" 2025-09-07T07:49:18.9328260Z  fi 2025-09-07T07:49:18.9328469Z } 2025-09-07T07:49:18.9328738Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T07:49:18.9329179Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T07:49:18.9329675Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T07:49:18.9330101Z echo "system info $(uname -a)" 2025-09-07T07:49:18.9343200Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:18.9343592Z env: 2025-09-07T07:49:18.9343815Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:18.9344106Z ##[endgroup] 2025-09-07T07:49:18.9378369Z ami-id: ARC Runner, no info on ec2 metadata 2025-09-07T07:49:18.9383139Z instance-id: ARC Runner, no info on ec2 metadata 2025-09-07T07:49:18.9388124Z instance-type: ARC Runner, no info on ec2 metadata 2025-09-07T07:49:18.9397535Z system info Linux 96c3a9a3db41 6.5.0-1024-aws #24~22.04.1-Ubuntu SMP Thu Jul 18 10:43:12 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T07:49:18.9415308Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:49:18.9416299Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:49:18.9428527Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:18.9428921Z env: 2025-09-07T07:49:18.9429132Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:18.9429401Z ##[endgroup] 2025-09-07T07:49:18.9501361Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:49:18.9501680Z with: 2025-09-07T07:49:18.9501890Z shell: bash 2025-09-07T07:49:18.9502120Z timeout_minutes: 5 2025-09-07T07:49:18.9502356Z max_attempts: 3 2025-09-07T07:49:18.9502603Z retry_wait_seconds: 30 2025-09-07T07:49:18.9505183Z command: AWS_ACCOUNT_ID=$(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 2025-09-07T07:49:18.9507597Z polling_interval_seconds: 1 2025-09-07T07:49:18.9507898Z warning_on_retry: true 2025-09-07T07:49:18.9508180Z continue_on_error: false 2025-09-07T07:49:18.9508435Z env: 2025-09-07T07:49:18.9508652Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:18.9508928Z AWS_RETRY_MODE: standard 2025-09-07T07:49:18.9509201Z AWS_MAX_ATTEMPTS: 5 2025-09-07T07:49:18.9509452Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T07:49:18.9509736Z ##[endgroup] 2025-09-07T07:49:20.5736696Z 2025-09-07T07:49:20.5737278Z WARNING! Your credentials are stored unencrypted in '/home/frank/.docker/config.json'. 2025-09-07T07:49:20.5737920Z Configure a credential helper to remove this warning. See 2025-09-07T07:49:20.5738706Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:49:20.5738958Z 2025-09-07T07:49:20.5739056Z Login Succeeded 2025-09-07T07:49:21.0284827Z Command completed after 1 attempt(s). 2025-09-07T07:49:21.0347172Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:49:21.0347734Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:49:21.0348216Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:49:21.0361156Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:21.0361537Z env: 2025-09-07T07:49:21.0361764Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:21.0362033Z ##[endgroup] 2025-09-07T07:49:21.0458548Z ##[group]Run set +e 2025-09-07T07:49:21.0458838Z set +e 2025-09-07T07:49:21.0459081Z set -x 2025-09-07T07:49:21.0459313Z  2025-09-07T07:49:21.0459565Z PT_DOMAIN=download.pytorch.org 2025-09-07T07:49:21.0460160Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T07:49:21.0461084Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T07:49:21.0461647Z # one is returned at random 2025-09-07T07:49:21.0462058Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T07:49:21.0462453Z  2025-09-07T07:49:21.0462681Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:49:21.0463131Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T07:49:21.0463678Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T07:49:21.0464085Z  2025-09-07T07:49:21.0464314Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:49:21.0464712Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T07:49:21.0465082Z  exit 1 2025-09-07T07:49:21.0465330Z  fi 2025-09-07T07:49:21.0465536Z fi 2025-09-07T07:49:21.0465748Z  2025-09-07T07:49:21.0466011Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T07:49:21.0466386Z  # Clean up any old records first 2025-09-07T07:49:21.0466763Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T07:49:21.0467086Z fi 2025-09-07T07:49:21.0467301Z  2025-09-07T07:49:21.0467619Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T07:49:21.0468032Z cat /etc/hosts 2025-09-07T07:49:21.0479682Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:21.0480076Z env: 2025-09-07T07:49:21.0480300Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:21.0480566Z ##[endgroup] 2025-09-07T07:49:21.0507231Z + PT_DOMAIN=download.pytorch.org 2025-09-07T07:49:21.0512970Z ++ dig -4 +short download.pytorch.org 2025-09-07T07:49:21.0514073Z ++ tail -n1 2025-09-07T07:49:21.0706310Z + RESOLVED_IP=3.170.131.13 2025-09-07T07:49:21.0706831Z + '[' -z 3.170.131.13 ']' 2025-09-07T07:49:21.0707173Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T07:49:21.0720333Z + echo '3.170.131.13 download.pytorch.org' 2025-09-07T07:49:21.0721650Z + sudo tee -a /etc/hosts 2025-09-07T07:49:21.0775331Z 3.170.131.13 download.pytorch.org 2025-09-07T07:49:21.0784738Z + cat /etc/hosts 2025-09-07T07:49:21.0791742Z 127.0.0.1 localhost 2025-09-07T07:49:21.0795849Z ::1 localhost ip6-localhost ip6-loopback 2025-09-07T07:49:21.0796233Z fe00:: ip6-localnet 2025-09-07T07:49:21.0796488Z ff00:: ip6-mcastprefix 2025-09-07T07:49:21.0796750Z ff02::1 ip6-allnodes 2025-09-07T07:49:21.0796989Z ff02::2 ip6-allrouters 2025-09-07T07:49:21.0797362Z 172.17.0.2 96c3a9a3db41 2025-09-07T07:49:21.0797636Z 3.170.131.13 download.pytorch.org 2025-09-07T07:49:21.0816895Z ##[group]Run set +x 2025-09-07T07:49:21.0817173Z set +x 2025-09-07T07:49:21.0817391Z  2025-09-07T07:49:21.0817618Z max_attempts=30 2025-09-07T07:49:21.0818063Z delay=10 2025-09-07T07:49:21.0818298Z attempt=1 2025-09-07T07:49:21.0818624Z  2025-09-07T07:49:21.0818894Z for attempt in $(seq 1 $max_attempts); do 2025-09-07T07:49:21.0819448Z  echo "Attempt $attempt of $max_attempts: Checking if Docker daemon is running..." 2025-09-07T07:49:21.0819983Z  if docker info > /dev/null 2>&1; then 2025-09-07T07:49:21.0820413Z  echo "Docker is running. Proceeding with the next steps" 2025-09-07T07:49:21.0820819Z  exit 0 2025-09-07T07:49:21.0821061Z  else 2025-09-07T07:49:21.0821327Z  echo "Docker is not running yet." 2025-09-07T07:49:21.0821684Z  echo "Retrying in $delay seconds..." 2025-09-07T07:49:21.0822036Z  sleep $delay 2025-09-07T07:49:21.0822306Z  fi 2025-09-07T07:49:21.0822529Z done 2025-09-07T07:49:21.0822892Z echo "Reached maximum attempts to connect to Docker. Exiting." 2025-09-07T07:49:21.0823316Z exit 1 2025-09-07T07:49:21.0835014Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:21.0835409Z env: 2025-09-07T07:49:21.0835640Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:21.0835896Z ##[endgroup] 2025-09-07T07:49:21.0872838Z Attempt 1 of 30: Checking if Docker daemon is running... 2025-09-07T07:49:21.1248393Z Docker is running. Proceeding with the next steps 2025-09-07T07:49:21.1412280Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T07:49:21.1412942Z with: 2025-09-07T07:49:21.1413892Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:21.1414941Z use-custom-docker-registry: true 2025-09-07T07:49:21.1415253Z docker-build-dir: .ci/docker 2025-09-07T07:49:21.1415558Z docker-build-script: ./build.sh 2025-09-07T07:49:21.1415863Z working-directory: . 2025-09-07T07:49:21.1416231Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:21.1416628Z force-push: false 2025-09-07T07:49:21.1416860Z env: 2025-09-07T07:49:21.1417074Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:21.1417337Z ##[endgroup] 2025-09-07T07:49:21.1435210Z ##[group]Run set -ex 2025-09-07T07:49:21.1435535Z set -ex 2025-09-07T07:49:21.1435754Z  2025-09-07T07:49:21.1436216Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T07:49:21.1436907Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T07:49:21.1437609Z # job could then download the pre-built image as usual 2025-09-07T07:49:21.1438326Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T07:49:21.1438999Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:21.1439352Z else 2025-09-07T07:49:21.1439619Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:21.1440068Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:21.1440487Z  2025-09-07T07:49:21.1441067Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T07:49:21.1441724Z  exit 0 2025-09-07T07:49:21.1441940Z fi 2025-09-07T07:49:21.1442156Z  2025-09-07T07:49:21.1442504Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T07:49:21.1443127Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T07:49:21.1443682Z  # use it as it is, but first let's extract the tag 2025-09-07T07:49:21.1444164Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T07:49:21.1444885Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:21.1445393Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:21.1445814Z else 2025-09-07T07:49:21.1446085Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T07:49:21.1446467Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T07:49:21.1446880Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T07:49:21.1447226Z  fi 2025-09-07T07:49:21.1447691Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T07:49:21.1448314Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:21.1448976Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:21.1449705Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:21.1450153Z fi 2025-09-07T07:49:21.1462336Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:21.1462868Z env: 2025-09-07T07:49:21.1463078Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:21.1463354Z REPO_NAME: pytorch 2025-09-07T07:49:21.1464524Z 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 2025-09-07T07:49:21.1465562Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:49:21.1465850Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T07:49:21.1466244Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:21.1466659Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T07:49:21.1466963Z CUSTOM_TAG_PREFIX: 2025-09-07T07:49:21.1467202Z ##[endgroup] 2025-09-07T07:49:21.1497285Z + [[ -d .ci/docker ]] 2025-09-07T07:49:21.1497586Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T07:49:21.1497905Z + [[ true == \t\r\u\e ]] 2025-09-07T07:49:21.1498361Z + echo skip=false 2025-09-07T07:49:21.1499639Z + [[ 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* ]] 2025-09-07T07:49:21.1504484Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:21.1505467Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T07:49:21.1515821Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:21.1516975Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:21.1518547Z + 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 2025-09-07T07:49:21.1541164Z ##[group]Run set +e 2025-09-07T07:49:21.1541509Z set +e 2025-09-07T07:49:21.1541748Z set -x 2025-09-07T07:49:21.1541983Z  2025-09-07T07:49:21.1542186Z login() { 2025-09-07T07:49:21.1542688Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:49:21.1543224Z } 2025-09-07T07:49:21.1543436Z  2025-09-07T07:49:21.1543633Z retry () { 2025-09-07T07:49:21.1543911Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:49:21.1544237Z } 2025-09-07T07:49:21.1544450Z  2025-09-07T07:49:21.1544675Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:49:21.1544989Z  2025-09-07T07:49:21.1545209Z START_TIME=$(date +%s) 2025-09-07T07:49:21.1545665Z # Wait up to 120 minutes 2025-09-07T07:49:21.1546026Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T07:49:21.1546538Z  # Check if image already exists, if it does then skip building it 2025-09-07T07:49:21.1547048Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T07:49:21.1547425Z  exit 0 2025-09-07T07:49:21.1547665Z  fi 2025-09-07T07:49:21.1547873Z  2025-09-07T07:49:21.1548263Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T07:49:21.1548949Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T07:49:21.1549640Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T07:49:21.1550168Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T07:49:21.1550577Z  # It's a Docker build job, let's build the image 2025-09-07T07:49:21.1550941Z  break 2025-09-07T07:49:21.1551179Z  else 2025-09-07T07:49:21.1551531Z  # It's a regular build job, wait for the image to become available 2025-09-07T07:49:21.1551947Z  sleep 300 2025-09-07T07:49:21.1552204Z  fi 2025-09-07T07:49:21.1552430Z done 2025-09-07T07:49:21.1552650Z  2025-09-07T07:49:21.1553139Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T07:49:21.1553736Z # be empty. The default action would be to continue rebuild the image 2025-09-07T07:49:21.1554272Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T07:49:21.1554747Z  # if we're on the base branch then use the parent commit 2025-09-07T07:49:21.1555152Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T07:49:21.1555482Z else 2025-09-07T07:49:21.1555823Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T07:49:21.1556319Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T07:49:21.1556684Z fi 2025-09-07T07:49:21.1556904Z  2025-09-07T07:49:21.1557277Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T07:49:21.1557652Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:21.1557999Z  2025-09-07T07:49:21.1558473Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T07:49:21.1559047Z  exit 0 2025-09-07T07:49:21.1559276Z fi 2025-09-07T07:49:21.1559489Z  2025-09-07T07:49:21.1559873Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T07:49:21.1560581Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T07:49:21.1561191Z  exit 1 2025-09-07T07:49:21.1561424Z fi 2025-09-07T07:49:21.1561631Z  2025-09-07T07:49:21.1562005Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T07:49:21.1562690Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T07:49:21.1563300Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T07:49:21.1564012Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T07:49:21.1564794Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T07:49:21.1565265Z fi 2025-09-07T07:49:21.1565478Z  2025-09-07T07:49:21.1565743Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:21.1577477Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:21.1577858Z env: 2025-09-07T07:49:21.1578082Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:21.1578526Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:49:21.1578880Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:21.1579948Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:21.1581350Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:21.1582167Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:21.1582567Z DOCKER_PUSH: 2025-09-07T07:49:21.1582796Z ##[endgroup] 2025-09-07T07:49:21.1610182Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:21.1610630Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:21.1612994Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:49:21.1614458Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:21.9927343Z 2025-09-07T07:49:21.9927937Z WARNING! Your credentials are stored unencrypted in '/home/frank/.docker/config.json'. 2025-09-07T07:49:21.9928568Z Configure a credential helper to remove this warning. See 2025-09-07T07:49:21.9929034Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:49:21.9929299Z 2025-09-07T07:49:21.9929395Z Login Succeeded 2025-09-07T07:49:21.9946681Z ++ date +%s 2025-09-07T07:49:21.9955004Z + START_TIME=1757231361 2025-09-07T07:49:21.9958497Z ++ date +%s 2025-09-07T07:49:21.9966293Z + [[ 1757224161 -lt 1757231361 ]] 2025-09-07T07:49:21.9967390Z + 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 2025-09-07T07:49:22.3644979Z { 2025-09-07T07:49:22.3645224Z "schemaVersion": 2, 2025-09-07T07:49:22.3645656Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T07:49:22.3646134Z "config": { 2025-09-07T07:49:22.3646481Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T07:49:22.3646885Z "size": 31375, 2025-09-07T07:49:22.3647302Z "digest": "sha256:29d1d8a31b215537637bab7c99e18c255840b899cf7023e4e3cb5efa3270aef8" 2025-09-07T07:49:22.3647790Z }, 2025-09-07T07:49:22.3647997Z "layers": [ 2025-09-07T07:49:22.3648200Z { 2025-09-07T07:49:22.3648546Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3648980Z "size": 30448359, 2025-09-07T07:49:22.3649418Z "digest": "sha256:e6fdc8487bfe6d764301ef3634bc6c043841dc3ab05ca14f81e69c0f92562d46" 2025-09-07T07:49:22.3649895Z }, 2025-09-07T07:49:22.3650156Z { 2025-09-07T07:49:22.3650483Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3650908Z "size": 1554, 2025-09-07T07:49:22.3651330Z "digest": "sha256:171dcef20c49de4bc9268f60e02f111b72c638b0f24c3c5636c5013029db6d30" 2025-09-07T07:49:22.3651816Z }, 2025-09-07T07:49:22.3652003Z { 2025-09-07T07:49:22.3652340Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3652908Z "size": 313297922, 2025-09-07T07:49:22.3653352Z "digest": "sha256:4c92b3f72f1df31fe9f487fc1c27fcf1ba475ffb43abd69056306d1247786e40" 2025-09-07T07:49:22.3653833Z }, 2025-09-07T07:49:22.3654033Z { 2025-09-07T07:49:22.3654373Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3654799Z "size": 792, 2025-09-07T07:49:22.3655206Z "digest": "sha256:744f9ba90a6582eb601b3c20409bb10d6dad635dd118c3975f79721f4c82747c" 2025-09-07T07:49:22.3655686Z }, 2025-09-07T07:49:22.3655879Z { 2025-09-07T07:49:22.3656211Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3656622Z "size": 106, 2025-09-07T07:49:22.3657028Z "digest": "sha256:d3c08322a3326e45849dd80264a047c4f42ba4a2419d35c919542e2890e23934" 2025-09-07T07:49:22.3657495Z }, 2025-09-07T07:49:22.3657690Z { 2025-09-07T07:49:22.3658311Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3658735Z "size": 704, 2025-09-07T07:49:22.3659155Z "digest": "sha256:ffd43b71f3ccf3ba563606231cb1d191eb9dd0052f422d54835e6af350525170" 2025-09-07T07:49:22.3659641Z }, 2025-09-07T07:49:22.3659825Z { 2025-09-07T07:49:22.3660158Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3660589Z "size": 1215, 2025-09-07T07:49:22.3661001Z "digest": "sha256:830692b57f6e2758398ec80c3b67a20441d12696b54ed14f2ecebf926198f7d6" 2025-09-07T07:49:22.3661465Z }, 2025-09-07T07:49:22.3661659Z { 2025-09-07T07:49:22.3661985Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3662408Z "size": 482, 2025-09-07T07:49:22.3662800Z "digest": "sha256:5bad36d184686719399be50830a98939d7dbda2313fb407df5915217483fc6a3" 2025-09-07T07:49:22.3663320Z }, 2025-09-07T07:49:22.3663516Z { 2025-09-07T07:49:22.3663846Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3664266Z "size": 110343614, 2025-09-07T07:49:22.3664710Z "digest": "sha256:0e34fdd9ac5c39eb0a9d2c2d258b26f42bb79d7dc0a22014bf201daa2e033eb4" 2025-09-07T07:49:22.3665200Z }, 2025-09-07T07:49:22.3665402Z { 2025-09-07T07:49:22.3665721Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3666144Z "size": 4786, 2025-09-07T07:49:22.3666749Z "digest": "sha256:3c868a62868ef54f82ac11be8dabe1b4365d000bacfe4c104e08022fc96dd767" 2025-09-07T07:49:22.3667238Z }, 2025-09-07T07:49:22.3667419Z { 2025-09-07T07:49:22.3667751Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3668175Z "size": 1710, 2025-09-07T07:49:22.3668591Z "digest": "sha256:62170a22dd571d55ffccac64c0be17f4006d2498cfbf7c6289325f0899cba005" 2025-09-07T07:49:22.3669058Z }, 2025-09-07T07:49:22.3669255Z { 2025-09-07T07:49:22.3669587Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3670013Z "size": 724, 2025-09-07T07:49:22.3670418Z "digest": "sha256:553c1d23b6c4dbd8ab136d0c3659460391ffa14cb9b43be9d7b2f47f90895697" 2025-09-07T07:49:22.3670900Z }, 2025-09-07T07:49:22.3671095Z { 2025-09-07T07:49:22.3671428Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3671841Z "size": 543, 2025-09-07T07:49:22.3672261Z "digest": "sha256:9408d557a804a7dce00897e03ce9f4f447281eb38ce4bc331098a1f1a5ff0d30" 2025-09-07T07:49:22.3672738Z }, 2025-09-07T07:49:22.3672931Z { 2025-09-07T07:49:22.3673248Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3673674Z "size": 3241148049, 2025-09-07T07:49:22.3674112Z "digest": "sha256:df607cfc7c07db6d442e0274e2be8cdc507df8716717363aa92f2fea069bdd9a" 2025-09-07T07:49:22.3674598Z }, 2025-09-07T07:49:22.3674780Z { 2025-09-07T07:49:22.3675115Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3675536Z "size": 32, 2025-09-07T07:49:22.3675968Z "digest": 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"sha256:32340b97ae50ba7b2918ab40d6f4a8db875afee69318f484e4deb0a1e2ec4beb" 2025-09-07T07:49:22.3779020Z }, 2025-09-07T07:49:22.3779202Z { 2025-09-07T07:49:22.3779533Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3779955Z "size": 32, 2025-09-07T07:49:22.3780373Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:49:22.3780845Z }, 2025-09-07T07:49:22.3781039Z { 2025-09-07T07:49:22.3781372Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3781795Z "size": 109, 2025-09-07T07:49:22.3782211Z "digest": "sha256:5bbb04cd6b57ae13d7cf05ab9e9b4ed9752833ee2dba4eeaac47bde6022c4725" 2025-09-07T07:49:22.3782703Z }, 2025-09-07T07:49:22.3782898Z { 2025-09-07T07:49:22.3783226Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3783635Z "size": 1897, 2025-09-07T07:49:22.3784066Z "digest": "sha256:d8c4b845cfc7ca7cc0604f472bf6da8b1f1d4e98dff3c76e1985a7013a5b9e3f" 2025-09-07T07:49:22.3784553Z }, 2025-09-07T07:49:22.3784745Z { 2025-09-07T07:49:22.3785061Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3785485Z "size": 243440375, 2025-09-07T07:49:22.3785921Z "digest": "sha256:b35c180f4d8ddc2396eac4a6b893f438481a8163ceb0b88f203488bc5f2a8ba4" 2025-09-07T07:49:22.3786407Z }, 2025-09-07T07:49:22.3786590Z { 2025-09-07T07:49:22.3786924Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3787332Z "size": 106, 2025-09-07T07:49:22.3787893Z "digest": "sha256:5f967b3c303a99e609441551f7c8988cca4fd464c0c3127506bff8509583091b" 2025-09-07T07:49:22.3788349Z }, 2025-09-07T07:49:22.3788528Z { 2025-09-07T07:49:22.3788841Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3789249Z "size": 166, 2025-09-07T07:49:22.3789642Z "digest": "sha256:04770904f012e5584f1c19a0bc92d9863baaebf08bf75b4a9981f2b7795c8953" 2025-09-07T07:49:22.3790112Z }, 2025-09-07T07:49:22.3790290Z { 2025-09-07T07:49:22.3790602Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3791001Z "size": 7943, 2025-09-07T07:49:22.3791411Z "digest": "sha256:73373941fb321b4cb4a171b1423a68a4c7fedada3a1498868d7efe93cb03170e" 2025-09-07T07:49:22.3791878Z }, 2025-09-07T07:49:22.3792058Z { 2025-09-07T07:49:22.3792367Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3792771Z "size": 8072, 2025-09-07T07:49:22.3793171Z "digest": "sha256:9572e6cd907bfa4888456dbccc6e22146a0044374585f3fa0a8ced19b831ed62" 2025-09-07T07:49:22.3793635Z }, 2025-09-07T07:49:22.3793802Z { 2025-09-07T07:49:22.3794112Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3794514Z "size": 304, 2025-09-07T07:49:22.3794910Z "digest": "sha256:64a544aba233551e38898f138dd6ba3161ccdb9554e0ffb5b9d8f0f7fe4a7fa8" 2025-09-07T07:49:22.3795373Z }, 2025-09-07T07:49:22.3795554Z { 2025-09-07T07:49:22.3795967Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3796378Z "size": 13362696, 2025-09-07T07:49:22.3796773Z "digest": "sha256:7e35418a24997de5428763c93826679486760a1a9563209ae64de66ba45f99c1" 2025-09-07T07:49:22.3797316Z }, 2025-09-07T07:49:22.3797490Z { 2025-09-07T07:49:22.3797796Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3798197Z "size": 108, 2025-09-07T07:49:22.3798596Z "digest": "sha256:2ed8e82748d4a1131f41d9e41322f47a6ffef67a5a2b7bf5392237db5c035c61" 2025-09-07T07:49:22.3799068Z }, 2025-09-07T07:49:22.3799248Z { 2025-09-07T07:49:22.3799554Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3799962Z "size": 54145663, 2025-09-07T07:49:22.3800383Z "digest": "sha256:c988fbcccd708fb158a81c429d32e1060a7e40924fc3c987c629fa69d9484717" 2025-09-07T07:49:22.3800847Z }, 2025-09-07T07:49:22.3801016Z { 2025-09-07T07:49:22.3801331Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:22.3801737Z "size": 32, 2025-09-07T07:49:22.3802132Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:49:22.3802591Z } 2025-09-07T07:49:22.3802766Z ] 2025-09-07T07:49:22.3802935Z } 2025-09-07T07:49:22.3827732Z ##[group]Run set -eux 2025-09-07T07:49:22.3828001Z set -eux 2025-09-07T07:49:22.3828416Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T07:49:22.3829597Z 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 2025-09-07T07:49:22.3843348Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:22.3843731Z env: 2025-09-07T07:49:22.3843938Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:22.3844202Z ##[endgroup] 2025-09-07T07:49:22.3877224Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T07:49:22.3878533Z + jq --raw-output .SecretString 2025-09-07T07:49:22.3879945Z + jq -r .docker_hub_readonly_token 2025-09-07T07:49:22.3881253Z + docker login --username pytorchbot --password-stdin 2025-09-07T07:49:22.9903728Z 2025-09-07T07:49:22.9905395Z An error occurred (AccessDeniedException) when calling the GetSecretValue operation: User: arn:aws:sts::308535385114:assumed-role/gh-ci-github-action-runners-runner-role/i-04318a58cd30ea7bb is not authorized to perform: secretsmanager:GetSecretValue on resource: docker_hub_readonly_token because no identity-based policy allows the secretsmanager:GetSecretValue action 2025-09-07T07:49:23.0725850Z Error: Cannot perform an interactive login from a non TTY device 2025-09-07T07:49:23.0739414Z + true 2025-09-07T07:49:23.0807080Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:49:23.0807462Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:49:23.0807864Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T07:49:23.0820857Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:23.0821261Z env: 2025-09-07T07:49:23.0821488Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:23.0822474Z 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 2025-09-07T07:49:23.0823488Z ##[endgroup] 2025-09-07T07:49:23.0855746Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:23.0899300Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T07:49:23.0899755Z with: 2025-09-07T07:49:23.0900677Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:23.0901779Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:23.0902183Z env: 2025-09-07T07:49:23.0902401Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:23.0902672Z ##[endgroup] 2025-09-07T07:49:23.0916384Z ##[group]Run set -x 2025-09-07T07:49:23.0916658Z set -x 2025-09-07T07:49:23.0916907Z set +e 2025-09-07T07:49:23.0917234Z  2025-09-07T07:49:23.0917457Z login() { 2025-09-07T07:49:23.0917952Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:49:23.0918512Z } 2025-09-07T07:49:23.0918715Z  2025-09-07T07:49:23.0918988Z retry () { 2025-09-07T07:49:23.0919269Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:49:23.0919581Z } 2025-09-07T07:49:23.0919791Z  2025-09-07T07:49:23.0920029Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:49:23.0920342Z  2025-09-07T07:49:23.0920835Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T07:49:23.0921524Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T07:49:23.0921909Z  2025-09-07T07:49:23.0922123Z set -e 2025-09-07T07:49:23.0922463Z # ignore output since only exit code is used for conditional 2025-09-07T07:49:23.0922974Z # only pull docker image if it's not available locally 2025-09-07T07:49:23.0923539Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T07:49:23.0924068Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T07:49:23.0924399Z fi 2025-09-07T07:49:23.0936316Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:23.0936715Z env: 2025-09-07T07:49:23.0936944Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:23.0937925Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:23.0939029Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:23.0939420Z ##[endgroup] 2025-09-07T07:49:23.0967489Z + set +e 2025-09-07T07:49:23.0968051Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:23.0968525Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:23.0970897Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:49:23.0972835Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:23.9296605Z 2025-09-07T07:49:23.9297148Z WARNING! Your credentials are stored unencrypted in '/home/frank/.docker/config.json'. 2025-09-07T07:49:23.9297791Z Configure a credential helper to remove this warning. See 2025-09-07T07:49:23.9298243Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:49:23.9298510Z 2025-09-07T07:49:23.9298607Z Login Succeeded 2025-09-07T07:49:23.9319900Z ++ 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 2025-09-07T07:49:23.9321029Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T07:49:24.3297858Z + IMAGE_SIZE=36183.606596946716 2025-09-07T07:49:24.3298299Z + echo 'Compressed size of image in MB: 36183.606596946716' 2025-09-07T07:49:24.3298688Z + set -e 2025-09-07T07:49:24.3300121Z + 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 2025-09-07T07:49:24.3301296Z Compressed size of image in MB: 36183.606596946716 2025-09-07T07:49:24.3410534Z + 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 2025-09-07T07:49:24.3412249Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:24.7698599Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T07:49:24.7699497Z e6fdc8487bfe: Pulling fs layer 2025-09-07T07:49:24.7699813Z 171dcef20c49: Pulling fs layer 2025-09-07T07:49:24.7700109Z 4c92b3f72f1d: Pulling fs layer 2025-09-07T07:49:24.7700427Z 744f9ba90a65: Pulling fs layer 2025-09-07T07:49:24.7700720Z d3c08322a332: Pulling fs layer 2025-09-07T07:49:24.7701011Z ffd43b71f3cc: Pulling fs layer 2025-09-07T07:49:24.7701305Z 830692b57f6e: Pulling fs layer 2025-09-07T07:49:24.7701592Z 5bad36d18468: Pulling fs layer 2025-09-07T07:49:24.7701869Z 0e34fdd9ac5c: Pulling fs layer 2025-09-07T07:49:24.7702159Z 3c868a62868e: Pulling fs layer 2025-09-07T07:49:24.7702443Z 62170a22dd57: Pulling fs layer 2025-09-07T07:49:24.7702727Z 553c1d23b6c4: Pulling fs layer 2025-09-07T07:49:24.7702993Z d3c08322a332: Waiting 2025-09-07T07:49:24.7703242Z ffd43b71f3cc: Waiting 2025-09-07T07:49:24.7703492Z 0e34fdd9ac5c: Waiting 2025-09-07T07:49:24.7703737Z 830692b57f6e: Waiting 2025-09-07T07:49:24.7703967Z 5bad36d18468: Waiting 2025-09-07T07:49:24.7704219Z 9408d557a804: Pulling fs layer 2025-09-07T07:49:24.7704526Z 744f9ba90a65: Waiting 2025-09-07T07:49:24.7704782Z df607cfc7c07: Pulling fs layer 2025-09-07T07:49:24.7705058Z 3c868a62868e: Waiting 2025-09-07T07:49:24.7705297Z 62170a22dd57: Waiting 2025-09-07T07:49:24.7705552Z 4f4fb700ef54: Pulling fs layer 2025-09-07T07:49:24.7705839Z 553c1d23b6c4: Waiting 2025-09-07T07:49:24.7706080Z 9408d557a804: Waiting 2025-09-07T07:49:24.7706310Z df607cfc7c07: Waiting 2025-09-07T07:49:24.7706565Z 40a8e39faeda: Pulling fs layer 2025-09-07T07:49:24.7706846Z 4f4fb700ef54: Waiting 2025-09-07T07:49:24.7707085Z d895771c9fac: Pulling fs layer 2025-09-07T07:49:24.7707366Z 40a8e39faeda: Waiting 2025-09-07T07:49:24.7707626Z c4ee04f39d49: Pulling fs layer 2025-09-07T07:49:24.7707915Z 3690c9826e48: Pulling fs layer 2025-09-07T07:49:24.7708177Z d895771c9fac: Waiting 2025-09-07T07:49:24.7708422Z c4ee04f39d49: Waiting 2025-09-07T07:49:24.7708676Z 57cbc5013733: Pulling fs layer 2025-09-07T07:49:24.7708964Z f5f4b06b58bb: Pulling fs layer 2025-09-07T07:49:24.7709238Z f59713ce4bf4: Pulling fs layer 2025-09-07T07:49:24.7709521Z fe0486521517: Pulling fs layer 2025-09-07T07:49:24.7709795Z 57cbc5013733: Waiting 2025-09-07T07:49:24.7710036Z 3690c9826e48: Waiting 2025-09-07T07:49:24.7710560Z f5f4b06b58bb: Waiting 2025-09-07T07:49:24.7710809Z f59713ce4bf4: Waiting 2025-09-07T07:49:24.7711065Z 8c21cc3715a2: Pulling fs layer 2025-09-07T07:49:24.7711341Z fe0486521517: Waiting 2025-09-07T07:49:24.7711580Z d37c58456a6a: Pulling fs layer 2025-09-07T07:49:24.7711870Z d042f63abc13: Pulling fs layer 2025-09-07T07:49:24.7712157Z 621284a9c05a: Pulling fs layer 2025-09-07T07:49:24.7712433Z 8c21cc3715a2: Waiting 2025-09-07T07:49:24.7712662Z d37c58456a6a: Waiting 2025-09-07T07:49:24.7712910Z d042f63abc13: Waiting 2025-09-07T07:49:24.7713161Z 85f605d2dd3a: Pulling fs layer 2025-09-07T07:49:24.7713447Z 381b5539e598: Pulling fs layer 2025-09-07T07:49:24.7713708Z 85f605d2dd3a: Waiting 2025-09-07T07:49:24.7713956Z 621284a9c05a: Waiting 2025-09-07T07:49:24.7714205Z a487c0c80029: Pulling fs layer 2025-09-07T07:49:24.7714491Z 48bcb81e2566: Pulling fs layer 2025-09-07T07:49:24.7714762Z e261928c0043: Pulling fs layer 2025-09-07T07:49:24.7715034Z 381b5539e598: Waiting 2025-09-07T07:49:24.7715279Z 48bcb81e2566: Waiting 2025-09-07T07:49:24.7715519Z a487c0c80029: Waiting 2025-09-07T07:49:24.7715910Z 0fea55428091: Pulling fs layer 2025-09-07T07:49:24.7716194Z e261928c0043: Waiting 2025-09-07T07:49:24.7716455Z b4291bccbb84: Pulling fs layer 2025-09-07T07:49:24.7716739Z 0fea55428091: Waiting 2025-09-07T07:49:24.7716986Z ddc91b09189a: Pulling fs layer 2025-09-07T07:49:24.7717370Z 7540c7428627: Pulling fs layer 2025-09-07T07:49:24.7717663Z 003c4e2598fb: Pulling fs layer 2025-09-07T07:49:24.7717942Z 7540c7428627: Waiting 2025-09-07T07:49:24.7718174Z b4291bccbb84: Waiting 2025-09-07T07:49:24.7718421Z ddc91b09189a: Waiting 2025-09-07T07:49:24.7718677Z 5687149362ae: Pulling fs layer 2025-09-07T07:49:24.7718971Z cdd2cf54eb2a: Pulling fs layer 2025-09-07T07:49:24.7719253Z d3ad4df1ba3a: Pulling fs layer 2025-09-07T07:49:24.7719540Z 3c9055753b4c: Pulling fs layer 2025-09-07T07:49:24.7719810Z 5687149362ae: Waiting 2025-09-07T07:49:24.7720056Z cdd2cf54eb2a: Waiting 2025-09-07T07:49:24.7720289Z 003c4e2598fb: Waiting 2025-09-07T07:49:24.7720537Z d3ad4df1ba3a: Waiting 2025-09-07T07:49:24.7720803Z 31cf8d0bd21c: Pulling fs layer 2025-09-07T07:49:24.7721080Z 6623ea814971: Pulling fs layer 2025-09-07T07:49:24.7721363Z 11696c3aa380: Pulling fs layer 2025-09-07T07:49:24.7721653Z ef4d544e35ca: Pulling fs layer 2025-09-07T07:49:24.7721929Z 6623ea814971: Waiting 2025-09-07T07:49:24.7722154Z 3c9055753b4c: Waiting 2025-09-07T07:49:24.7722413Z 31cf8d0bd21c: Waiting 2025-09-07T07:49:24.7722679Z 11696c3aa380: Waiting 2025-09-07T07:49:24.7722927Z ef4d544e35ca: Waiting 2025-09-07T07:49:24.7723174Z 5c5108865e5e: Pulling fs layer 2025-09-07T07:49:24.7723471Z 9e97578e9edf: Pulling fs layer 2025-09-07T07:49:24.7723752Z 5c5108865e5e: Waiting 2025-09-07T07:49:24.7724014Z da5a91b54cb5: Pulling fs layer 2025-09-07T07:49:24.7724283Z 9e97578e9edf: Waiting 2025-09-07T07:49:24.7724540Z 1e93be219e89: Pulling fs layer 2025-09-07T07:49:24.7724829Z 136825afebb5: Pulling fs layer 2025-09-07T07:49:24.7725112Z da5a91b54cb5: Waiting 2025-09-07T07:49:24.7725353Z 1e93be219e89: Waiting 2025-09-07T07:49:24.7725610Z 22b39805302d: Pulling fs layer 2025-09-07T07:49:24.7725907Z d12add675e35: Pulling fs layer 2025-09-07T07:49:24.7726201Z bc127046d33a: Pulling fs layer 2025-09-07T07:49:24.7726467Z 22b39805302d: Waiting 2025-09-07T07:49:24.7726714Z 136825afebb5: Waiting 2025-09-07T07:49:24.7726960Z d12add675e35: Waiting 2025-09-07T07:49:24.7727206Z bc127046d33a: Waiting 2025-09-07T07:49:24.7727449Z 951e8ce83841: Pulling fs layer 2025-09-07T07:49:24.7727742Z 32340b97ae50: Pulling fs layer 2025-09-07T07:49:24.7728034Z 5bbb04cd6b57: Pulling fs layer 2025-09-07T07:49:24.7728315Z 951e8ce83841: Waiting 2025-09-07T07:49:24.7728542Z 32340b97ae50: Waiting 2025-09-07T07:49:24.7728798Z d8c4b845cfc7: Pulling fs layer 2025-09-07T07:49:24.7729076Z 5bbb04cd6b57: Waiting 2025-09-07T07:49:24.7729317Z b35c180f4d8d: Pulling fs layer 2025-09-07T07:49:24.7729603Z 5f967b3c303a: Pulling fs layer 2025-09-07T07:49:24.7729885Z 04770904f012: Pulling fs layer 2025-09-07T07:49:24.7730163Z 73373941fb32: Pulling fs layer 2025-09-07T07:49:24.7730581Z d8c4b845cfc7: Waiting 2025-09-07T07:49:24.7730848Z 9572e6cd907b: Pulling fs layer 2025-09-07T07:49:24.7731126Z b35c180f4d8d: Waiting 2025-09-07T07:49:24.7731368Z 73373941fb32: Waiting 2025-09-07T07:49:24.7731594Z 04770904f012: Waiting 2025-09-07T07:49:24.7731848Z 64a544aba233: Pulling fs layer 2025-09-07T07:49:24.7732127Z 9572e6cd907b: Waiting 2025-09-07T07:49:24.7732384Z 7e35418a2499: Pulling fs layer 2025-09-07T07:49:24.7732881Z 64a544aba233: Waiting 2025-09-07T07:49:24.7733126Z 5f967b3c303a: Waiting 2025-09-07T07:49:24.7733378Z 2ed8e82748d4: Pulling fs layer 2025-09-07T07:49:24.7733669Z c988fbcccd70: Pulling fs layer 2025-09-07T07:49:24.7733935Z 2ed8e82748d4: Waiting 2025-09-07T07:49:24.7734185Z c988fbcccd70: Waiting 2025-09-07T07:49:24.9336747Z 171dcef20c49: Verifying Checksum 2025-09-07T07:49:24.9337078Z 171dcef20c49: Download complete 2025-09-07T07:49:25.0879295Z 744f9ba90a65: Download complete 2025-09-07T07:49:25.2167905Z e6fdc8487bfe: Verifying Checksum 2025-09-07T07:49:25.2168323Z e6fdc8487bfe: Download complete 2025-09-07T07:49:25.2484920Z d3c08322a332: Verifying Checksum 2025-09-07T07:49:25.2485246Z d3c08322a332: Download complete 2025-09-07T07:49:25.3682141Z ffd43b71f3cc: Verifying Checksum 2025-09-07T07:49:25.3682527Z ffd43b71f3cc: Download complete 2025-09-07T07:49:25.4123140Z 830692b57f6e: Verifying Checksum 2025-09-07T07:49:25.4123520Z 830692b57f6e: Download complete 2025-09-07T07:49:25.5076236Z 5bad36d18468: Verifying Checksum 2025-09-07T07:49:25.5076611Z 5bad36d18468: Download complete 2025-09-07T07:49:25.6659268Z 3c868a62868e: Verifying Checksum 2025-09-07T07:49:25.6659636Z 3c868a62868e: Download complete 2025-09-07T07:49:25.8225718Z 62170a22dd57: Verifying Checksum 2025-09-07T07:49:25.8226114Z 62170a22dd57: Download complete 2025-09-07T07:49:25.9526004Z e6fdc8487bfe: Pull complete 2025-09-07T07:49:25.9759670Z 553c1d23b6c4: Verifying Checksum 2025-09-07T07:49:25.9760024Z 553c1d23b6c4: Download complete 2025-09-07T07:49:25.9898605Z 171dcef20c49: Pull complete 2025-09-07T07:49:26.1207579Z 9408d557a804: Verifying Checksum 2025-09-07T07:49:26.1207980Z 9408d557a804: Download complete 2025-09-07T07:49:26.6543228Z 0e34fdd9ac5c: Verifying Checksum 2025-09-07T07:49:26.6543619Z 0e34fdd9ac5c: Download complete 2025-09-07T07:49:26.7087116Z 4f4fb700ef54: Verifying Checksum 2025-09-07T07:49:26.7087423Z 4f4fb700ef54: Download complete 2025-09-07T07:49:26.8964641Z 40a8e39faeda: Verifying Checksum 2025-09-07T07:49:26.8965009Z 40a8e39faeda: Download complete 2025-09-07T07:49:27.5721718Z d895771c9fac: Verifying Checksum 2025-09-07T07:49:27.5722108Z d895771c9fac: Download complete 2025-09-07T07:49:27.7463692Z c4ee04f39d49: Verifying Checksum 2025-09-07T07:49:27.7464077Z c4ee04f39d49: Download complete 2025-09-07T07:49:27.9962984Z 3690c9826e48: Verifying Checksum 2025-09-07T07:49:27.9963373Z 3690c9826e48: Download complete 2025-09-07T07:49:28.0259619Z 4c92b3f72f1d: Verifying Checksum 2025-09-07T07:49:28.0259947Z 4c92b3f72f1d: Download complete 2025-09-07T07:49:28.1670755Z f5f4b06b58bb: Verifying Checksum 2025-09-07T07:49:28.1671154Z f5f4b06b58bb: Download complete 2025-09-07T07:49:28.1760455Z 57cbc5013733: Verifying Checksum 2025-09-07T07:49:28.1760805Z 57cbc5013733: Download complete 2025-09-07T07:49:28.3072861Z f59713ce4bf4: Verifying Checksum 2025-09-07T07:49:28.3073251Z f59713ce4bf4: Download complete 2025-09-07T07:49:28.3144167Z fe0486521517: Verifying Checksum 2025-09-07T07:49:28.3144533Z fe0486521517: Download complete 2025-09-07T07:49:28.4748114Z d37c58456a6a: Verifying Checksum 2025-09-07T07:49:28.4748504Z d37c58456a6a: Download complete 2025-09-07T07:49:28.9802166Z d042f63abc13: Verifying Checksum 2025-09-07T07:49:28.9802579Z d042f63abc13: Download complete 2025-09-07T07:49:29.1179332Z 621284a9c05a: Verifying Checksum 2025-09-07T07:49:29.1179718Z 621284a9c05a: Download complete 2025-09-07T07:49:29.2623306Z 85f605d2dd3a: Verifying Checksum 2025-09-07T07:49:29.2623693Z 85f605d2dd3a: Download complete 2025-09-07T07:49:33.9757830Z 381b5539e598: Verifying Checksum 2025-09-07T07:49:33.9758613Z 381b5539e598: Download complete 2025-09-07T07:49:34.1306488Z a487c0c80029: Verifying Checksum 2025-09-07T07:49:34.1306879Z a487c0c80029: Download complete 2025-09-07T07:49:34.2960562Z 48bcb81e2566: Verifying Checksum 2025-09-07T07:49:34.2960964Z 48bcb81e2566: Download complete 2025-09-07T07:49:34.4335871Z e261928c0043: Verifying Checksum 2025-09-07T07:49:34.4336266Z e261928c0043: Download complete 2025-09-07T07:49:34.5779808Z 0fea55428091: Download complete 2025-09-07T07:49:34.9771864Z b4291bccbb84: Verifying Checksum 2025-09-07T07:49:34.9773777Z b4291bccbb84: Download complete 2025-09-07T07:49:35.1583916Z ddc91b09189a: Download complete 2025-09-07T07:49:35.3382565Z 7540c7428627: Verifying Checksum 2025-09-07T07:49:35.3382959Z 7540c7428627: Download complete 2025-09-07T07:49:35.4850094Z 003c4e2598fb: Download complete 2025-09-07T07:49:35.6720101Z 5687149362ae: Verifying Checksum 2025-09-07T07:49:35.6720483Z 5687149362ae: Download complete 2025-09-07T07:49:35.8236059Z cdd2cf54eb2a: Verifying Checksum 2025-09-07T07:49:35.8236491Z cdd2cf54eb2a: Download complete 2025-09-07T07:49:38.0806144Z 4c92b3f72f1d: Pull complete 2025-09-07T07:49:39.3918046Z 744f9ba90a65: Pull complete 2025-09-07T07:49:40.7777504Z d3c08322a332: Pull complete 2025-09-07T07:49:41.8623008Z ffd43b71f3cc: Pull complete 2025-09-07T07:49:43.1158555Z 830692b57f6e: Pull complete 2025-09-07T07:49:44.5542936Z 5bad36d18468: Pull complete 2025-09-07T07:49:49.1999032Z 0e34fdd9ac5c: Pull complete 2025-09-07T07:49:50.7551027Z 3c868a62868e: Pull complete 2025-09-07T07:49:52.3383378Z 62170a22dd57: Pull complete 2025-09-07T07:49:53.8718342Z 553c1d23b6c4: Pull complete 2025-09-07T07:49:55.9783712Z 9408d557a804: Pull complete 2025-09-07T07:49:58.6557605Z df607cfc7c07: Verifying Checksum 2025-09-07T07:49:58.6557995Z df607cfc7c07: Download complete 2025-09-07T07:49:58.8351592Z 3c9055753b4c: Verifying Checksum 2025-09-07T07:49:58.8351989Z 3c9055753b4c: Download complete 2025-09-07T07:50:02.6871382Z 31cf8d0bd21c: Verifying Checksum 2025-09-07T07:50:02.6871817Z 31cf8d0bd21c: Download complete 2025-09-07T07:51:26.3535201Z 8c21cc3715a2: Verifying Checksum 2025-09-07T07:51:26.3535589Z 8c21cc3715a2: Download complete 2025-09-07T07:51:26.6326829Z 11696c3aa380: Verifying Checksum 2025-09-07T07:51:26.6327214Z 11696c3aa380: Download complete 2025-09-07T07:51:26.7971795Z ef4d544e35ca: Verifying Checksum 2025-09-07T07:51:26.7972170Z ef4d544e35ca: Download complete 2025-09-07T07:51:26.9406944Z 5c5108865e5e: Verifying Checksum 2025-09-07T07:51:26.9407295Z 5c5108865e5e: Download complete 2025-09-07T07:51:27.1061704Z 9e97578e9edf: Verifying Checksum 2025-09-07T07:51:27.1062055Z 9e97578e9edf: Download complete 2025-09-07T07:51:27.2731937Z da5a91b54cb5: Verifying Checksum 2025-09-07T07:51:27.2732314Z da5a91b54cb5: Download complete 2025-09-07T07:51:27.4331127Z 1e93be219e89: Verifying Checksum 2025-09-07T07:51:27.4331481Z 1e93be219e89: Download complete 2025-09-07T07:51:27.5910177Z 136825afebb5: Verifying Checksum 2025-09-07T07:51:27.5910519Z 136825afebb5: Download complete 2025-09-07T07:51:27.7608301Z 22b39805302d: Verifying Checksum 2025-09-07T07:51:27.7608676Z 22b39805302d: Download complete 2025-09-07T07:51:27.9137010Z d12add675e35: Verifying Checksum 2025-09-07T07:51:27.9137357Z d12add675e35: Download complete 2025-09-07T07:51:28.0636120Z bc127046d33a: Verifying Checksum 2025-09-07T07:51:28.0636464Z bc127046d33a: Download complete 2025-09-07T07:51:28.2042836Z 951e8ce83841: Verifying Checksum 2025-09-07T07:51:28.2043225Z 951e8ce83841: Download complete 2025-09-07T07:51:28.3625411Z 32340b97ae50: Verifying Checksum 2025-09-07T07:51:28.3625735Z 32340b97ae50: Download complete 2025-09-07T07:51:28.5242504Z 5bbb04cd6b57: Verifying Checksum 2025-09-07T07:51:28.5242878Z 5bbb04cd6b57: Download complete 2025-09-07T07:51:28.6824429Z d8c4b845cfc7: Verifying Checksum 2025-09-07T07:51:28.6824814Z d8c4b845cfc7: Download complete 2025-09-07T07:51:46.4653678Z b35c180f4d8d: Verifying Checksum 2025-09-07T07:51:46.4654058Z b35c180f4d8d: Download complete 2025-09-07T07:51:46.6184259Z 5f967b3c303a: Verifying Checksum 2025-09-07T07:51:46.6184660Z 5f967b3c303a: Download complete 2025-09-07T07:51:46.9218143Z 04770904f012: Verifying Checksum 2025-09-07T07:51:46.9218524Z 04770904f012: Download complete 2025-09-07T07:51:47.0655958Z 73373941fb32: Download complete 2025-09-07T07:51:47.2265626Z 9572e6cd907b: Download complete 2025-09-07T07:51:47.3619447Z 64a544aba233: Verifying Checksum 2025-09-07T07:51:47.3619819Z 64a544aba233: Download complete 2025-09-07T07:51:48.3780070Z 7e35418a2499: Verifying Checksum 2025-09-07T07:51:48.3780448Z 7e35418a2499: Download complete 2025-09-07T07:51:48.5154600Z 2ed8e82748d4: Download complete 2025-09-07T07:51:52.2816881Z c988fbcccd70: Verifying Checksum 2025-09-07T07:51:52.2817269Z c988fbcccd70: Download complete 2025-09-07T07:55:11.4350596Z 6623ea814971: Download complete 2025-09-07T08:00:26.3525078Z df607cfc7c07: Pull complete 2025-09-07T08:00:29.1623000Z 4f4fb700ef54: Pull complete 2025-09-07T08:00:31.9555971Z 40a8e39faeda: Pull complete 2025-09-07T08:00:56.6469044Z d895771c9fac: Pull complete 2025-09-07T08:00:59.3506828Z c4ee04f39d49: Pull complete 2025-09-07T08:01:02.8911661Z 3690c9826e48: Pull complete 2025-09-07T08:01:06.0443578Z 57cbc5013733: Pull complete 2025-09-07T08:01:09.1049972Z f5f4b06b58bb: Pull complete 2025-09-07T08:01:12.4426604Z f59713ce4bf4: Pull complete 2025-09-07T08:01:15.0119174Z fe0486521517: Pull complete 2025-09-07T08:01:18.3277280Z d3ad4df1ba3a: Verifying Checksum 2025-09-07T08:01:18.3277687Z d3ad4df1ba3a: Download complete 2025-09-07T08:09:08.1842073Z 8c21cc3715a2: Pull complete 2025-09-07T08:09:10.3443109Z d37c58456a6a: Pull complete 2025-09-07T08:09:13.9962951Z d042f63abc13: Pull complete 2025-09-07T08:09:16.4592138Z 621284a9c05a: Pull complete 2025-09-07T08:09:19.2782579Z 85f605d2dd3a: Pull complete 2025-09-07T08:09:29.7592178Z 381b5539e598: Pull complete 2025-09-07T08:09:31.3505172Z a487c0c80029: Pull complete 2025-09-07T08:09:32.9474143Z 48bcb81e2566: Pull complete 2025-09-07T08:09:35.9447019Z e261928c0043: Pull complete 2025-09-07T08:09:37.7023696Z 0fea55428091: Pull complete 2025-09-07T08:09:39.5339678Z b4291bccbb84: Pull complete 2025-09-07T08:09:40.9764882Z ddc91b09189a: Pull complete 2025-09-07T08:09:42.7141689Z 7540c7428627: Pull complete 2025-09-07T08:09:46.1342138Z 003c4e2598fb: Pull complete 2025-09-07T08:09:47.9376836Z 5687149362ae: Pull complete 2025-09-07T08:09:49.6334807Z cdd2cf54eb2a: Pull complete 2025-09-07T08:25:02.4986953Z d3ad4df1ba3a: Pull complete 2025-09-07T08:25:05.8477112Z 3c9055753b4c: Pull complete 2025-09-07T08:25:12.0638027Z 31cf8d0bd21c: Pull complete 2025-09-07T08:28:01.2761501Z 6623ea814971: Pull complete 2025-09-07T08:28:04.5015738Z 11696c3aa380: Pull complete 2025-09-07T08:28:08.0151155Z ef4d544e35ca: Pull complete 2025-09-07T08:28:14.3718965Z 5c5108865e5e: Pull complete 2025-09-07T08:28:20.0720942Z 9e97578e9edf: Pull complete 2025-09-07T08:28:22.5854592Z da5a91b54cb5: Pull complete 2025-09-07T08:28:27.1234060Z 1e93be219e89: Pull complete 2025-09-07T08:28:32.1218781Z 136825afebb5: Pull complete 2025-09-07T08:28:35.0251682Z 22b39805302d: Pull complete 2025-09-07T08:28:40.5468301Z d12add675e35: Pull complete 2025-09-07T08:28:43.4018274Z bc127046d33a: Pull complete 2025-09-07T08:28:48.9443733Z 951e8ce83841: Pull complete 2025-09-07T08:28:51.3679549Z 32340b97ae50: Pull complete 2025-09-07T08:28:56.2393269Z 5bbb04cd6b57: Pull complete 2025-09-07T08:28:58.9062533Z d8c4b845cfc7: Pull complete 2025-09-07T08:29:06.9079641Z b35c180f4d8d: Pull complete 2025-09-07T08:29:09.5094494Z 5f967b3c303a: Pull complete 2025-09-07T08:29:12.6399216Z 04770904f012: Pull complete 2025-09-07T08:29:16.0977244Z 73373941fb32: Pull complete 2025-09-07T08:29:19.2134484Z 9572e6cd907b: Pull complete 2025-09-07T08:29:22.3969697Z 64a544aba233: Pull complete 2025-09-07T08:29:26.6764467Z 7e35418a2499: Pull complete 2025-09-07T08:29:29.9234589Z 2ed8e82748d4: Pull complete 2025-09-07T08:29:34.8089926Z c988fbcccd70: Pull complete 2025-09-07T08:29:39.7201446Z Digest: sha256:f30843ff9ea9e117a2c8e6d207e85c9e77dfe682f1dfcdfea5b94178d1bf00b3 2025-09-07T08:29:40.3691797Z 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 2025-09-07T08:29:40.4978812Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:29:40.5183597Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:29:40.5184929Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:29:40.5199695Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:29:40.5200098Z env: 2025-09-07T08:29:40.5200317Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:29:40.5200594Z ##[endgroup] 2025-09-07T08:29:40.6230329Z ##[group]Run echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T08:29:40.6231052Z echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T08:29:40.6243061Z shell: /usr/bin/bash -e {0} 2025-09-07T08:29:40.6243363Z env: 2025-09-07T08:29:40.6243589Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:29:40.6243866Z ##[endgroup] 2025-09-07T08:29:40.7267061Z ##[group]Run echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T08:29:40.7268094Z echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T08:29:40.7280398Z shell: /usr/bin/bash -e {0} 2025-09-07T08:29:40.7280695Z env: 2025-09-07T08:29:40.7280919Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:29:40.7281266Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:29:40.7281628Z ##[endgroup] 2025-09-07T08:29:40.7852994Z Prepare all required actions 2025-09-07T08:29:40.8316958Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T08:29:40.8317410Z with: 2025-09-07T08:29:40.8317837Z github-token: *** 2025-09-07T08:29:40.8318073Z env: 2025-09-07T08:29:40.8318288Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:29:40.8318617Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:29:40.8319088Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T08:29:40.8319484Z ##[endgroup] 2025-09-07T08:29:40.9366016Z ##[group]Run set -eux 2025-09-07T08:29:40.9366302Z set -eux 2025-09-07T08:29:40.9366753Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T08:29:40.9379009Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:29:40.9379409Z env: 2025-09-07T08:29:40.9379638Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:29:40.9379983Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:29:40.9380495Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T08:29:40.9381107Z GITHUB_TOKEN: *** 2025-09-07T08:29:40.9381355Z ##[endgroup] 2025-09-07T08:29:40.9913394Z + python3 .github/scripts/get_workflow_job_id.py 17525309334 i-04318a58cd30ea7bb-1006 2025-09-07T08:29:41.8299103Z Setting output job-id=49775768409 2025-09-07T08:29:41.8299755Z Setting output job-name=cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 5, 5, linux.aws.a100) 2025-09-07T08:29:41.8965376Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T08:29:41.8966151Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T08:29:41.8967150Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T08:29:41.8968020Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T08:29:41.8981002Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:29:41.8981613Z env: 2025-09-07T08:29:41.8981843Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:29:41.8982184Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:29:41.8982637Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T08:29:41.8983036Z JOB_ID: 49775768409 2025-09-07T08:29:41.8983538Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 5, 5, linux.aws.a100) 2025-09-07T08:29:41.8984092Z WORKFLOW_NAME: inductor-A100-perf-nightly 2025-09-07T08:29:41.8984420Z WORKFLOW_RUN_ID: 17525309334 2025-09-07T08:29:41.8984711Z MONITOR_LOG_INTERVAL: 15 2025-09-07T08:29:41.8984998Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T08:29:41.8985298Z ##[endgroup] 2025-09-07T08:29:42.2647914Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:29:42.9801455Z Collecting psutil==5.9.8 2025-09-07T08:29:43.0544846Z 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) 2025-09-07T08:29:43.4484581Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.2/288.2 KB 710.3 kB/s eta 0:00:00 2025-09-07T08:29:43.8095469Z Collecting dataclasses_json==0.6.7 2025-09-07T08:29:43.8220958Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T08:29:44.5773939Z Collecting nvidia-ml-py==11.525.84 2025-09-07T08:29:44.5891652Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T08:29:45.1982270Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T08:29:45.2088488Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T08:29:45.8908154Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T08:29:45.9013670Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T08:29:46.3280286Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.9/50.9 KB 95.7 kB/s eta 0:00:00 2025-09-07T08:29:46.7884001Z Collecting packaging>=17.0 2025-09-07T08:29:46.7989649Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T08:29:47.1215178Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.5/66.5 KB 175.9 kB/s eta 0:00:00 2025-09-07T08:29:47.5522566Z Collecting typing-extensions>=3.7.4 2025-09-07T08:29:47.5633313Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T08:29:47.8544262Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 44.6/44.6 KB 119.0 kB/s eta 0:00:00 2025-09-07T08:29:48.2447820Z Collecting mypy-extensions>=0.3.0 2025-09-07T08:29:48.2554217Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T08:29:48.6317885Z Installing collected packages: nvidia-ml-py, typing-extensions, psutil, packaging, mypy-extensions, typing-inspect, marshmallow, dataclasses_json 2025-09-07T08:29:53.9604184Z 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 2025-09-07T08:29:54.0299847Z Prepare all required actions 2025-09-07T08:29:54.0300242Z Getting action download info 2025-09-07T08:29:54.1950834Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T08:29:57.0854138Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T08:30:06.7645858Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T08:30:06.7646238Z with: 2025-09-07T08:30:06.7646497Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:30:06.7646837Z s3-bucket: gha-artifacts 2025-09-07T08:30:06.7647102Z env: 2025-09-07T08:30:06.7647321Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:30:06.7647662Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:30:06.7648118Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T08:30:06.7648521Z ##[endgroup] 2025-09-07T08:30:06.8174327Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T08:30:06.8174683Z with: 2025-09-07T08:30:06.8174932Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:30:06.8175489Z s3-bucket: gha-artifacts 2025-09-07T08:30:06.8175765Z region: us-east-1 2025-09-07T08:30:06.8175988Z env: 2025-09-07T08:30:06.8176208Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:30:06.8176559Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:30:06.8177027Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T08:30:06.8177424Z ##[endgroup] 2025-09-07T08:30:07.2850121Z (node:9319) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T08:30:07.2850652Z 2025-09-07T08:30:07.2850852Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T08:30:07.2851418Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T08:30:07.2852009Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T08:30:07.4091968Z Found 1 objects with prefix pytorch/pytorch/17525309334/linux-jammy-cuda12.8-py3.10-gcc9-sm80/ 2025-09-07T08:30:07.4092929Z Starting download (1/1): /home/frank/_work/pytorch/pytorch/artifacts.zip 2025-09-07T08:30:16.4285499Z Finished download (1/1): /home/frank/_work/pytorch/pytorch/artifacts.zip 2025-09-07T08:30:16.4293906Z Artifact download has finished successfully 2025-09-07T08:30:16.4879395Z ##[group]Run unzip -o artifacts.zip 2025-09-07T08:30:16.4879761Z unzip -o artifacts.zip 2025-09-07T08:30:16.4892447Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:30:16.4893125Z env: 2025-09-07T08:30:16.4893353Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:30:16.4893697Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:30:16.4894164Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T08:30:16.4894554Z ##[endgroup] 2025-09-07T08:30:16.5444034Z Archive: artifacts.zip 2025-09-07T08:30:16.5445440Z creating: dist/ 2025-09-07T08:30:18.4840134Z inflating: dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T08:30:18.4840669Z creating: dist/vision/ 2025-09-07T08:30:18.4960150Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:30:18.4960686Z creating: dist/audio/ 2025-09-07T08:30:18.5017791Z inflating: dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T08:30:18.5018304Z creating: dist/torchrec/ 2025-09-07T08:30:18.5044251Z inflating: dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T08:30:18.5044669Z creating: dist/fbgemm_gpu/ 2025-09-07T08:30:19.6834067Z inflating: dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T08:30:19.6834635Z creating: dist/ao/ 2025-09-07T08:30:19.6876366Z inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T08:30:19.7009100Z inflating: dist/.ninja_log 2025-09-07T08:30:19.7009587Z creating: build/custom_test_artifacts/ 2025-09-07T08:30:19.7010364Z creating: build/custom_test_artifacts/custom-op-build/ 2025-09-07T08:30:19.7010902Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-09-07T08:30:19.7011511Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-09-07T08:30:19.7018299Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-09-07T08:30:19.7018994Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/ 2025-09-07T08:30:19.7019665Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeSystem.cmake 2025-09-07T08:30:19.7020406Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/ 2025-09-07T08:30:19.7021120Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/tmp/ 2025-09-07T08:30:19.7021945Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/CMakeCCompilerId.c 2025-09-07T08:30:19.7023072Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/a.out 2025-09-07T08:30:19.7024082Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeCCompiler.cmake 2025-09-07T08:30:19.7024825Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdCXX/ 2025-09-07T08:30:19.7025560Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdCXX/tmp/ 2025-09-07T08:30:19.7026435Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdCXX/CMakeCXXCompilerId.cpp 2025-09-07T08:30:19.7027684Z inflating: 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2025-09-07T08:30:27.8646728Z inflating: build/bin/Dimname_test 2025-09-07T08:30:27.8708608Z inflating: build/bin/NamedTensor_test 2025-09-07T08:30:27.8777004Z inflating: build/bin/MaybeOwned_test 2025-09-07T08:30:27.8855333Z inflating: build/bin/Dict_test 2025-09-07T08:30:27.8918646Z inflating: build/bin/atest 2025-09-07T08:30:27.8981655Z inflating: build/bin/apply_utils_test 2025-09-07T08:30:27.9049822Z inflating: build/bin/basic 2025-09-07T08:30:27.9111847Z inflating: build/bin/cpu_generator_test 2025-09-07T08:30:27.9170584Z inflating: build/bin/broadcast_test 2025-09-07T08:30:27.9225905Z inflating: build/bin/cpu_allocator_test 2025-09-07T08:30:27.9282500Z inflating: build/bin/cpu_profiling_allocator_test 2025-09-07T08:30:27.9380555Z inflating: build/bin/cpu_rng_test 2025-09-07T08:30:27.9441962Z inflating: build/bin/extension_backend_test 2025-09-07T08:30:27.9497031Z inflating: build/bin/dlconvertor_test 2025-09-07T08:30:27.9556498Z inflating: build/bin/half_test 2025-09-07T08:30:27.9658593Z inflating: build/bin/ivalue_test 2025-09-07T08:30:27.9712327Z inflating: build/bin/lazy_tensor_test 2025-09-07T08:30:27.9769712Z inflating: build/bin/math_kernel_test 2025-09-07T08:30:27.9827837Z inflating: build/bin/memory_format_test 2025-09-07T08:30:27.9885531Z inflating: build/bin/memory_overlapping_test 2025-09-07T08:30:27.9941927Z inflating: build/bin/mobile_memory_cleanup 2025-09-07T08:30:28.0002477Z inflating: build/bin/native_test 2025-09-07T08:30:28.0057195Z inflating: build/bin/operators_test 2025-09-07T08:30:28.0111547Z inflating: build/bin/operator_name_test 2025-09-07T08:30:28.0167684Z inflating: build/bin/packedtensoraccessor_test 2025-09-07T08:30:28.0239149Z inflating: build/bin/pow_test 2025-09-07T08:30:28.0292969Z inflating: build/bin/reduce_ops_test 2025-09-07T08:30:28.0348537Z inflating: build/bin/reportMemoryUsage_test 2025-09-07T08:30:28.0409433Z inflating: build/bin/quantized_test 2025-09-07T08:30:28.0471122Z inflating: build/bin/scalar_tensor_test 2025-09-07T08:30:28.0534362Z inflating: build/bin/scalar_test 2025-09-07T08:30:28.0590666Z inflating: build/bin/StorageUtils_test 2025-09-07T08:30:28.0647486Z inflating: build/bin/stride_properties_test 2025-09-07T08:30:28.0730463Z inflating: build/bin/tensor_iterator_test 2025-09-07T08:30:28.0785380Z inflating: build/bin/thread_init_test 2025-09-07T08:30:28.0843620Z inflating: build/bin/test_parallel 2025-09-07T08:30:28.0902679Z inflating: build/bin/type_ptr_test 2025-09-07T08:30:28.0966871Z inflating: build/bin/type_test 2025-09-07T08:30:28.1022477Z inflating: build/bin/undefined_tensor_test 2025-09-07T08:30:28.1075365Z inflating: build/bin/verify_api_visibility 2025-09-07T08:30:28.1150083Z inflating: build/bin/legacy_vmap_test 2025-09-07T08:30:28.1204913Z inflating: build/bin/weakref_test 2025-09-07T08:30:28.1261305Z inflating: build/bin/wrapdim_test 2025-09-07T08:30:28.1316701Z inflating: build/bin/xla_tensor_test 2025-09-07T08:30:28.1380084Z inflating: build/bin/IListRef_test 2025-09-07T08:30:28.1491556Z inflating: build/bin/List_test 2025-09-07T08:30:28.1561675Z inflating: build/bin/KernelFunction_test 2025-09-07T08:30:28.1689635Z inflating: build/bin/kernel_function_legacy_test 2025-09-07T08:30:28.1790752Z inflating: build/bin/kernel_function_test 2025-09-07T08:30:28.1923383Z inflating: build/bin/kernel_lambda_legacy_test 2025-09-07T08:30:28.2030660Z inflating: build/bin/kernel_lambda_test 2025-09-07T08:30:28.2096675Z inflating: build/bin/kernel_stackbased_test 2025-09-07T08:30:28.2196912Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-09-07T08:30:28.2253446Z inflating: build/bin/CppSignature_test 2025-09-07T08:30:28.2312309Z inflating: build/bin/backend_fallback_test 2025-09-07T08:30:28.2364643Z inflating: build/bin/op_allowlist_test 2025-09-07T08:30:28.2669670Z inflating: build/bin/op_registration_test 2025-09-07T08:30:28.2739560Z inflating: build/bin/inline_container_test 2025-09-07T08:30:28.2795512Z inflating: build/bin/cuda_apply_test 2025-09-07T08:30:28.2859794Z inflating: build/bin/cuda_atomic_ops_test 2025-09-07T08:30:28.2915335Z inflating: build/bin/cuda_allocator_test 2025-09-07T08:30:28.2975858Z inflating: build/bin/cuda_caching_host_allocator_test 2025-09-07T08:30:28.3049982Z inflating: build/bin/cuda_complex_math_test 2025-09-07T08:30:28.3112706Z inflating: build/bin/cuda_complex_test 2025-09-07T08:30:28.3179855Z inflating: build/bin/cuda_cub_test 2025-09-07T08:30:28.3232867Z inflating: build/bin/cuda_device_test 2025-09-07T08:30:28.3301678Z inflating: build/bin/cuda_distributions_test 2025-09-07T08:30:28.3357974Z inflating: build/bin/cuda_dlconvertor_test 2025-09-07T08:30:28.3411244Z inflating: build/bin/cuda_exchange_device_test 2025-09-07T08:30:28.3471837Z inflating: build/bin/cuda_generator_test 2025-09-07T08:30:28.3527211Z inflating: build/bin/cuda_half_test 2025-09-07T08:30:28.3582035Z inflating: build/bin/cuda_integer_divider_test 2025-09-07T08:30:28.3635488Z inflating: build/bin/cuda_optional_test 2025-09-07T08:30:28.3692232Z inflating: build/bin/cuda_reportMemoryUsage_test 2025-09-07T08:30:28.3747504Z inflating: build/bin/cuda_packedtensoraccessor_test 2025-09-07T08:30:28.3800915Z inflating: build/bin/cuda_allocatorTraceTracker_test 2025-09-07T08:30:28.3866404Z inflating: build/bin/cuda_stream_test 2025-09-07T08:30:28.3921988Z inflating: build/bin/cuda_vectorized_test 2025-09-07T08:30:28.3975218Z inflating: build/bin/cuda_cudnn_test 2025-09-07T08:30:28.4365339Z inflating: build/bin/test_nativert 2025-09-07T08:30:28.4423945Z inflating: build/bin/test_dist_autograd 2025-09-07T08:30:28.4498303Z inflating: build/bin/test_cpp_rpc 2025-09-07T08:30:28.5705499Z inflating: build/bin/test_api 2025-09-07T08:30:28.5707815Z inflating: build/bin/parallel_benchmark 2025-09-07T08:30:28.5776261Z inflating: build/bin/ProcessGroupNCCLTest 2025-09-07T08:30:28.5841927Z inflating: build/bin/ProcessGroupNCCLErrorsTest 2025-09-07T08:30:28.6970407Z inflating: build/bin/test_jit 2025-09-07T08:30:28.7040981Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T08:30:28.7102228Z inflating: build/bin/ProcessGroupGlooAsyncTest 2025-09-07T08:30:28.7458940Z inflating: build/bin/test_lazy 2025-09-07T08:30:28.7462658Z inflating: build/bin/torch_shm_manager 2025-09-07T08:30:28.7463253Z creating: .additional_ci_files/ 2025-09-07T08:30:28.7553374Z inflating: .additional_ci_files/test-times.json 2025-09-07T08:30:28.7894903Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T08:30:28.8462346Z ##[group]Run rm artifacts.zip 2025-09-07T08:30:28.8462903Z rm artifacts.zip 2025-09-07T08:30:28.8478784Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:30:28.8479174Z env: 2025-09-07T08:30:28.8479404Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:30:28.8479745Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:30:28.8480224Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T08:30:28.8480609Z ##[endgroup] 2025-09-07T08:30:29.0651408Z ##[group]Run df -H 2025-09-07T08:30:29.0651674Z df -H 2025-09-07T08:30:29.0663708Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:30:29.0664105Z env: 2025-09-07T08:30:29.0664318Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:30:29.0664658Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:30:29.0665122Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T08:30:29.0665522Z ##[endgroup] 2025-09-07T08:30:29.1188536Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T08:30:29.1189191Z overlay 5.3T 435G 4.8T 9% / 2025-09-07T08:30:29.1189669Z tmpfs 68M 0 68M 0% /dev 2025-09-07T08:30:29.1190299Z shm 68M 0 68M 0% /dev/shm 2025-09-07T08:30:29.1191004Z /dev/root 5.3T 435G 4.8T 9% /home/frank/_work 2025-09-07T08:30:29.1191605Z tmpfs 121G 111k 121G 1% /run/docker.sock 2025-09-07T08:30:29.1192233Z tmpfs 603G 13k 603G 1% /proc/driver/nvidia 2025-09-07T08:30:29.1193085Z tmpfs 241G 1.7M 241G 1% /run/.ro3312910089/nvidia-persistenced/socket 2025-09-07T08:30:29.1193631Z tmpfs 603G 0 603G 0% /proc/acpi 2025-09-07T08:30:29.1193991Z tmpfs 603G 0 603G 0% /proc/scsi 2025-09-07T08:30:29.1194338Z tmpfs 603G 0 603G 0% /sys/firmware 2025-09-07T08:30:29.1226864Z Prepare all required actions 2025-09-07T08:30:29.1227504Z Getting action download info 2025-09-07T08:30:29.2824587Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T08:30:29.2824954Z with: 2025-09-07T08:30:29.2825160Z env: 2025-09-07T08:30:29.2825382Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:30:29.2825709Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:30:29.2826176Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T08:30:29.2826569Z ##[endgroup] 2025-09-07T08:30:29.3368506Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T08:30:29.3368851Z with: 2025-09-07T08:30:29.3369081Z name: td_results 2025-09-07T08:30:29.3369331Z s3-bucket: gha-artifacts 2025-09-07T08:30:29.3369608Z region: us-east-1 2025-09-07T08:30:29.3369829Z env: 2025-09-07T08:30:29.3370053Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:30:29.3370393Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:30:29.3370951Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T08:30:29.3371355Z ##[endgroup] 2025-09-07T08:30:30.0399648Z (node:9338) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T08:30:30.0400172Z 2025-09-07T08:30:30.0400381Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T08:30:30.0400924Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T08:30:30.0401503Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T08:30:30.1646562Z Found 0 objects with prefix pytorch/pytorch/17525309334/td_results/ 2025-09-07T08:30:30.1652191Z Artifact download has finished successfully 2025-09-07T08:30:30.2364768Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T08:30:30.2365193Z mkdir -p .additional_ci_files 2025-09-07T08:30:30.2365646Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T08:30:30.2379404Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:30:30.2379812Z env: 2025-09-07T08:30:30.2380042Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:30:30.2380451Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:30:30.2380975Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T08:30:30.2381379Z ##[endgroup] 2025-09-07T08:30:30.2938709Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T08:30:30.3444304Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T08:30:30.3444676Z .github/scripts/parse_ref.py 2025-09-07T08:30:30.3456479Z shell: /usr/bin/bash -e {0} 2025-09-07T08:30:30.3456950Z env: 2025-09-07T08:30:30.3457175Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:30:30.3457521Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:30:30.3457988Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T08:30:30.3458387Z ##[endgroup] 2025-09-07T08:30:30.4114354Z Setting output branch=main 2025-09-07T08:30:30.4245614Z Prepare all required actions 2025-09-07T08:30:30.4246015Z Getting action download info 2025-09-07T08:30:30.6115536Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T08:30:30.6115943Z with: 2025-09-07T08:30:30.6116364Z github-token: *** 2025-09-07T08:30:30.6122320Z 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"}]} 2025-09-07T08:30:30.6128581Z job-name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 5, 5, linux.aws.a100) 2025-09-07T08:30:30.6129098Z env: 2025-09-07T08:30:30.6129324Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:30:30.6129681Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:30:30.6130137Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T08:30:30.6130539Z ##[endgroup] 2025-09-07T08:30:30.6624888Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T08:30:30.6625210Z with: 2025-09-07T08:30:30.6625414Z shell: bash 2025-09-07T08:30:30.6625650Z timeout_minutes: 10 2025-09-07T08:30:30.6625937Z max_attempts: 5 2025-09-07T08:30:30.6626172Z retry_wait_seconds: 30 2025-09-07T08:30:30.6627112Z 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 2025-09-07T08:30:30.6627992Z polling_interval_seconds: 1 2025-09-07T08:30:30.6628288Z warning_on_retry: true 2025-09-07T08:30:30.6628550Z continue_on_error: false 2025-09-07T08:30:30.6628817Z env: 2025-09-07T08:30:30.6629036Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:30:30.6629377Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:30:30.6629837Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T08:30:30.6630450Z GITHUB_TOKEN: *** 2025-09-07T08:30:30.6630693Z ##[endgroup] 2025-09-07T08:30:30.7413938Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T08:30:31.0635930Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:30:31.6906931Z Collecting requests==2.27.1 2025-09-07T08:30:31.7693685Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T08:30:32.0550899Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.1/63.1 KB 187.3 kB/s eta 0:00:00 2025-09-07T08:30:32.4993869Z Collecting pyyaml==6.0.2 2025-09-07T08:30:32.5101943Z Downloading PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (751 kB) 2025-09-07T08:30:32.8732924Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 751.2/751.2 KB 2.1 MB/s eta 0:00:00 2025-09-07T08:30:32.8882157Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3/dist-packages (from requests==2.27.1) (3.3) 2025-09-07T08:30:32.8887716Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3/dist-packages (from requests==2.27.1) (1.26.5) 2025-09-07T08:30:33.5032094Z Collecting charset-normalizer~=2.0.0 2025-09-07T08:30:33.5138927Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T08:30:33.8766929Z Requirement already satisfied: certifi>=2017.4.17 in /usr/lib/python3/dist-packages (from requests==2.27.1) (2020.6.20) 2025-09-07T08:30:33.9574344Z Installing collected packages: pyyaml, charset-normalizer, requests 2025-09-07T08:30:34.7710859Z WARNING: The script normalizer is installed in '/home/frank/.local/bin' which is not on PATH. 2025-09-07T08:30:34.7711720Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T08:30:36.1997548Z Successfully installed charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T08:30:36.7449344Z Command completed after 1 attempt(s). 2025-09-07T08:30:36.7667731Z ##[group]Run set -x 2025-09-07T08:30:36.7668005Z set -x 2025-09-07T08:30:36.7668237Z  2025-09-07T08:30:36.7668620Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T08:30:36.7669120Z # in runner workspace 2025-09-07T08:30:36.7669538Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T08:30:36.7696022Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:30:36.7696489Z env: 2025-09-07T08:30:36.7696709Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:30:36.7697054Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:30:36.7697511Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T08:30:36.7697900Z ##[endgroup] 2025-09-07T08:30:36.8233020Z + python3 /home/frank/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T08:30:36.8385666Z Setting output branch=main 2025-09-07T08:30:36.8722846Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T08:30:36.8723300Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T08:30:36.8723654Z echo "Job name: ${JOB_NAME}" 2025-09-07T08:30:36.8723946Z  2025-09-07T08:30:36.8724337Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T08:30:36.8724847Z # in runner workspace 2025-09-07T08:30:36.8725290Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T08:30:36.8725785Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T08:30:36.8726132Z  --job-name "${JOB_NAME}" \ 2025-09-07T08:30:36.8732133Z  --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"}]}" \ 2025-09-07T08:30:36.8738673Z  --selected-test-configs "" \ 2025-09-07T08:30:36.8739024Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T08:30:36.8739356Z  --tag "${TAG}" \ 2025-09-07T08:30:36.8739657Z  --event-name "${EVENT_NAME}" \ 2025-09-07T08:30:36.8739993Z  --schedule "${SCHEDULE}" \ 2025-09-07T08:30:36.8740306Z  --branch "${HEAD_BRANCH}" 2025-09-07T08:30:36.8752160Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:30:36.8752553Z env: 2025-09-07T08:30:36.8752780Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:30:36.8753112Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:30:36.8753585Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T08:30:36.8754191Z GITHUB_TOKEN: *** 2025-09-07T08:30:36.8754647Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 5, 5, linux.aws.a100) 2025-09-07T08:30:36.8755175Z PR_NUMBER: 2025-09-07T08:30:36.8755392Z TAG: 2025-09-07T08:30:36.8755610Z EVENT_NAME: schedule 2025-09-07T08:30:36.8755871Z SCHEDULE: 0 7 * * 0 2025-09-07T08:30:36.8756125Z HEAD_BRANCH: main 2025-09-07T08:30:36.8756357Z ##[endgroup] 2025-09-07T08:30:36.9290489Z Workflow: inductor-A100-perf-nightly 2025-09-07T08:30:36.9291019Z Job name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 5, 5, linux.aws.a100) 2025-09-07T08:30:37.1402704Z Setting output keep-going=True 2025-09-07T08:30:37.1403084Z Setting output ci-verbose-test-logs=False 2025-09-07T08:30:37.1403449Z Setting output ci-test-showlocals=False 2025-09-07T08:30:37.1403785Z Setting output ci-no-test-timeout=False 2025-09-07T08:30:37.1404121Z Setting output ci-no-td=False 2025-09-07T08:30:37.1404436Z Setting output ci-td-distributed=False 2025-09-07T08:30:37.1404773Z Setting output is-unstable=False 2025-09-07T08:30:37.1405091Z Setting output reenabled-issues= 2025-09-07T08:30:37.1411221Z 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"}]} 2025-09-07T08:30:37.1418882Z Setting output is-test-matrix-empty=False 2025-09-07T08:30:37.1556827Z ##[group]Run echo "Filtered matrix:" 2025-09-07T08:30:37.1557306Z echo "Filtered matrix:" 2025-09-07T08:30:37.1563077Z 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"}]}" 2025-09-07T08:30:37.1569052Z  2025-09-07T08:30:37.1569259Z echo 2025-09-07T08:30:37.1569537Z echo "Is the current job unstable? False" 2025-09-07T08:30:37.1569887Z  2025-09-07T08:30:37.1570084Z echo 2025-09-07T08:30:37.1570345Z echo "Is keep-going label set? True" 2025-09-07T08:30:37.1570677Z  2025-09-07T08:30:37.1570884Z echo 2025-09-07T08:30:37.1571116Z echo "Reenabled issues? " 2025-09-07T08:30:37.1583583Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:30:37.1583967Z env: 2025-09-07T08:30:37.1584196Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:30:37.1584543Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:30:37.1585016Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T08:30:37.1585405Z ##[endgroup] 2025-09-07T08:30:37.2099796Z Filtered matrix: 2025-09-07T08:30:37.2106692Z {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}]} 2025-09-07T08:30:37.2112606Z 2025-09-07T08:30:37.2112729Z Is the current job unstable? False 2025-09-07T08:30:37.2112938Z 2025-09-07T08:30:37.2113056Z Is keep-going label set? True 2025-09-07T08:30:37.2113246Z 2025-09-07T08:30:37.2113338Z Reenabled issues? 2025-09-07T08:30:37.2581023Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T08:30:37.2581571Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T08:30:37.2593208Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:30:37.2593604Z env: 2025-09-07T08:30:37.2593827Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:30:37.2594169Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:30:37.2594645Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T08:30:37.2595033Z JOB_TIMEOUT: 1440 2025-09-07T08:30:37.2595270Z ##[endgroup] 2025-09-07T08:30:37.3668479Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:30:37.3669042Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:30:37.3669608Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:30:37.3681970Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:30:37.3682365Z env: 2025-09-07T08:30:37.3682592Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:30:37.3682939Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:30:37.3683400Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T08:30:37.3683797Z ##[endgroup] 2025-09-07T08:30:37.4766647Z ##[group]Run set -x 2025-09-07T08:30:37.4767018Z set -x 2025-09-07T08:30:37.4767257Z  2025-09-07T08:30:37.4767526Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T08:30:37.4767946Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T08:30:37.4768375Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T08:30:37.4768771Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T08:30:37.4769085Z else 2025-09-07T08:30:37.4769359Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T08:30:37.4769692Z fi 2025-09-07T08:30:37.4769923Z  2025-09-07T08:30:37.4770195Z # Leaving 1GB for the runner and other things 2025-09-07T08:30:37.4770820Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T08:30:37.4771758Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T08:30:37.4772509Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T08:30:37.4773591Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T08:30:37.4774109Z  2025-09-07T08:30:37.4774395Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T08:30:37.4774867Z  SHM_OPTS= 2025-09-07T08:30:37.4775120Z  JENKINS_USER= 2025-09-07T08:30:37.4775528Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T08:30:37.4776105Z  # if for some reason cleanup action doesn't stop container 2025-09-07T08:30:37.4776526Z  # when job is cancelled 2025-09-07T08:30:37.4776850Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T08:30:37.4777151Z else 2025-09-07T08:30:37.4777504Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T08:30:37.4777856Z  JENKINS_USER="--user jenkins" 2025-09-07T08:30:37.4778192Z  DOCKER_SHELL_CMD= 2025-09-07T08:30:37.4778451Z fi 2025-09-07T08:30:37.4778666Z  2025-09-07T08:30:37.4779052Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T08:30:37.4779666Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T08:30:37.4780285Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T08:30:37.4780910Z # shellcheck disable=SC2086,SC2090 2025-09-07T08:30:37.4781294Z container_name=$(docker run \ 2025-09-07T08:30:37.4781622Z  ${GPU_FLAG:-} \ 2025-09-07T08:30:37.4781937Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T08:30:37.4782285Z  -e BUILD_ENVIRONMENT \ 2025-09-07T08:30:37.4782635Z  -e PR_NUMBER \ 2025-09-07T08:30:37.4782971Z  -e GITHUB_ACTIONS \ 2025-09-07T08:30:37.4783273Z  -e GITHUB_REPOSITORY \ 2025-09-07T08:30:37.4783574Z  -e GITHUB_WORKFLOW \ 2025-09-07T08:30:37.4783867Z  -e GITHUB_JOB \ 2025-09-07T08:30:37.4784144Z  -e GITHUB_RUN_ID \ 2025-09-07T08:30:37.4784473Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T08:30:37.4784771Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T08:30:37.4785071Z  -e JOB_ID \ 2025-09-07T08:30:37.4785333Z  -e JOB_NAME \ 2025-09-07T08:30:37.4785601Z  -e BASE_SHA \ 2025-09-07T08:30:37.4785852Z  -e BRANCH \ 2025-09-07T08:30:37.4786107Z  -e SHA1 \ 2025-09-07T08:30:37.4786367Z  -e AWS_DEFAULT_REGION \ 2025-09-07T08:30:37.4786677Z  -e IN_WHEEL_TEST \ 2025-09-07T08:30:37.4786954Z  -e SHARD_NUMBER \ 2025-09-07T08:30:37.4787243Z  -e TEST_CONFIG \ 2025-09-07T08:30:37.4787534Z  -e NUM_TEST_SHARDS \ 2025-09-07T08:30:37.4787838Z  -e REENABLED_ISSUES \ 2025-09-07T08:30:37.4788138Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T08:30:37.4788675Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T08:30:37.4788990Z  -e TEST_SHOWLOCALS \ 2025-09-07T08:30:37.4789289Z  -e NO_TEST_TIMEOUT \ 2025-09-07T08:30:37.4789573Z  -e NO_TD \ 2025-09-07T08:30:37.4789839Z  -e TD_DISTRIBUTED \ 2025-09-07T08:30:37.4790135Z  -e PR_LABELS \ 2025-09-07T08:30:37.4790445Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T08:30:37.4790777Z  -e SCCACHE_BUCKET \ 2025-09-07T08:30:37.4791078Z  -e SCCACHE_REGION \ 2025-09-07T08:30:37.4791372Z  -e XLA_CUDA \ 2025-09-07T08:30:37.4791675Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T08:30:37.4792052Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T08:30:37.4792426Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T08:30:37.4792808Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T08:30:37.4793169Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T08:30:37.4793524Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T08:30:37.4793869Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T08:30:37.4794213Z  -e DASHBOARD_TAG \ 2025-09-07T08:30:37.4794623Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T08:30:37.4795006Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T08:30:37.4795436Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T08:30:37.4795875Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T08:30:37.4796292Z  --security-opt seccomp=unconfined \ 2025-09-07T08:30:37.4796655Z  --cap-add=SYS_PTRACE \ 2025-09-07T08:30:37.4796963Z  --ipc=host \ 2025-09-07T08:30:37.4797325Z  ${SHM_OPTS} \ 2025-09-07T08:30:37.4797591Z  --tty \ 2025-09-07T08:30:37.4797839Z  --detach \ 2025-09-07T08:30:37.4798115Z  --name="${container_name}" \ 2025-09-07T08:30:37.4798424Z  ${JENKINS_USER} \ 2025-09-07T08:30:37.4798797Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T08:30:37.4799215Z  -w /var/lib/jenkins/workspace \ 2025-09-07T08:30:37.4799549Z  "${DOCKER_IMAGE}" \ 2025-09-07T08:30:37.4799823Z  ${DOCKER_SHELL_CMD} 2025-09-07T08:30:37.4800100Z ) 2025-09-07T08:30:37.4800397Z # Propagate download.pytorch.org IP to container 2025-09-07T08:30:37.4801087Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T08:30:37.4801828Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T08:30:37.4802242Z  2025-09-07T08:30:37.4802520Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T08:30:37.4803119Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T08:30:37.4803661Z fi 2025-09-07T08:30:37.4803867Z  2025-09-07T08:30:37.4804383Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T08:30:37.4816288Z shell: /usr/bin/bash -e {0} 2025-09-07T08:30:37.4816579Z env: 2025-09-07T08:30:37.4816802Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:30:37.4817137Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:30:37.4817610Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T08:30:37.4818100Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:30:37.4818492Z PR_NUMBER: 2025-09-07T08:30:37.4818731Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T08:30:37.4819083Z GITHUB_WORKFLOW: inductor-A100-perf-nightly 2025-09-07T08:30:37.4819421Z GITHUB_JOB: test 2025-09-07T08:30:37.4819670Z GITHUB_RUN_ID: 17525309334 2025-09-07T08:30:37.4819941Z GITHUB_RUN_NUMBER: 5418 2025-09-07T08:30:37.4820214Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T08:30:37.4820471Z JOB_ID: 49775768409 2025-09-07T08:30:37.4821075Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 5, 5, linux.aws.a100) 2025-09-07T08:30:37.4821593Z BRANCH: main 2025-09-07T08:30:37.4821854Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:30:37.4822237Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:30:37.4822618Z TEST_CONFIG: inductor_huggingface_perf 2025-09-07T08:30:37.4822939Z SHARD_NUMBER: 5 2025-09-07T08:30:37.4823165Z NUM_TEST_SHARDS: 5 2025-09-07T08:30:37.4823416Z REENABLED_ISSUES: 2025-09-07T08:30:37.4823677Z CONTINUE_THROUGH_ERROR: True 2025-09-07T08:30:37.4823971Z VERBOSE_TEST_LOGS: False 2025-09-07T08:30:37.4824233Z TEST_SHOWLOCALS: False 2025-09-07T08:30:37.4824503Z NO_TEST_TIMEOUT: False 2025-09-07T08:30:37.4824760Z NO_TD: False 2025-09-07T08:30:37.4824996Z TD_DISTRIBUTED: False 2025-09-07T08:30:37.4825300Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T08:30:37.4825670Z SCCACHE_REGION: us-east-1 2025-09-07T08:30:37.4825943Z SHM_SIZE: 2g 2025-09-07T08:30:37.4826867Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:30:37.4827992Z XLA_CUDA: 2025-09-07T08:30:37.4828356Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:30:37.4828828Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T08:30:37.4829161Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T08:30:37.4830495Z 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 2025-09-07T08:30:37.4832026Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T08:30:37.4832435Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T08:30:37.4832862Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T08:30:37.4833366Z ARTIFACTS_FILE_SUFFIX: test-inductor_huggingface_perf-5-5-linux.aws.a100_49775768409 2025-09-07T08:30:37.4833873Z ##[endgroup] 2025-09-07T08:30:37.5311667Z + [[ inductor_huggingface_perf == \m\u\l\t\i\g\p\u ]] 2025-09-07T08:30:37.5312118Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *onnx* ]] 2025-09-07T08:30:37.5312491Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T08:30:37.5314898Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T08:30:37.5323218Z + TOTAL_AVAILABLE_MEMORY_IN_GB='1120.797 ' 2025-09-07T08:30:37.5323596Z + TOTAL_MEMORY_WITH_SWAP=1123 2025-09-07T08:30:37.5323975Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *\s\3\9\0\x* ]] 2025-09-07T08:30:37.5324361Z + SHM_OPTS=--shm-size=2g 2025-09-07T08:30:37.5324646Z + JENKINS_USER='--user jenkins' 2025-09-07T08:30:37.5324940Z + DOCKER_SHELL_CMD= 2025-09-07T08:30:37.5331575Z +++ nproc --ignore=2 2025-09-07T08:30:37.5345313Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e SCCACHE_SERVER_PORT=5232 -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/frank/_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 2025-09-07T08:51:58.5145248Z + container_name=1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T08:51:58.5147156Z + grep download.pytorch.org /etc/hosts 2025-09-07T08:51:58.5149134Z + docker exec -i 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T08:51:58.5493381Z + echo DOCKER_CONTAINER_ID=1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T08:51:58.5494598Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *\s\3\9\0\x* ]] 2025-09-07T08:51:58.5497115Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T08:51:58.5499334Z + docker exec -t 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T08:51:58.9428474Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T08:51:59.7615737Z 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) 2025-09-07T08:51:59.7619987Z 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) 2025-09-07T08:51:59.7624167Z 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) 2025-09-07T08:51:59.7628892Z 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) 2025-09-07T08:51:59.7632295Z 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) 2025-09-07T08:51:59.7636805Z 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) 2025-09-07T08:51:59.7650197Z 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) 2025-09-07T08:51:59.8011354Z 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) 2025-09-07T08:51:59.8030808Z 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) 2025-09-07T08:51:59.8066587Z 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) 2025-09-07T08:52:00.7058005Z Installing collected packages: torch 2025-09-07T08:52:12.6668298Z 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. 2025-09-07T08:52:12.6669273Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T08:52:12.6669739Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T08:52:12.6670257Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-09-07T08:52:12.6670893Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T08:52:12.6671672Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T08:52:12.6672446Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T08:52:12.8662972Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T08:52:12.9509239Z + export TERM=vt100 2025-09-07T08:52:12.9509720Z + TERM=vt100 2025-09-07T08:52:12.9511168Z ++ dirname .ci/pytorch/test.sh 2025-09-07T08:52:12.9519520Z + source .ci/pytorch/common.sh 2025-09-07T08:52:12.9522536Z +++ dirname .ci/pytorch/common.sh 2025-09-07T08:52:12.9529499Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T08:52:12.9530611Z +++ declare -f -t trap_add 2025-09-07T08:52:12.9535812Z ++ set -ex -o pipefail 2025-09-07T08:52:12.9536382Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *rocm* ]] 2025-09-07T08:52:12.9537041Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T08:52:12.9540692Z ++ dirname .ci/pytorch/test.sh 2025-09-07T08:52:12.9547526Z + source .ci/pytorch/common-build.sh 2025-09-07T08:52:12.9549168Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *win-* ]] 2025-09-07T08:52:12.9554764Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T08:52:12.9561672Z +++ cd .ci/pytorch 2025-09-07T08:52:12.9562092Z +++ pwd -P 2025-09-07T08:52:12.9563985Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T08:52:12.9564760Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *-pch* ]] 2025-09-07T08:52:12.9565918Z ++ which sccache 2025-09-07T08:52:12.9576244Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T08:52:12.9576807Z ++ sccache --stop-server 2025-09-07T08:52:12.9599083Z ++ true 2025-09-07T08:52:12.9599494Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T08:52:12.9608200Z ++ trap_add sccache_epilogue EXIT 2025-09-07T08:52:12.9614684Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T08:52:12.9615134Z ++ shift 2025-09-07T08:52:12.9615507Z ++ for trap_add_name in "$@" 2025-09-07T08:52:12.9615941Z ++++ trap -p EXIT 2025-09-07T08:52:12.9616935Z +++ eval 'extract_trap_cmd ' 2025-09-07T08:52:12.9617362Z ++++ extract_trap_cmd 2025-09-07T08:52:12.9617780Z ++++ printf '%s\n' '' 2025-09-07T08:52:12.9618192Z +++ printf '%s\n' sccache_epilogue 2025-09-07T08:52:12.9619081Z ++ trap -- ' 2025-09-07T08:52:12.9619478Z sccache_epilogue' EXIT 2025-09-07T08:52:12.9619924Z ++ [[ -n 1 ]] 2025-09-07T08:52:12.9620560Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T08:52:12.9621576Z Skipping sccache server initialization, setting environment variables 2025-09-07T08:52:12.9622343Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:52:12.9622817Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:52:12.9623454Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:52:12.9624224Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:52:12.9624902Z ++ export RUST_LOG=sccache::server=error 2025-09-07T08:52:12.9625421Z ++ RUST_LOG=sccache::server=error 2025-09-07T08:52:12.9625930Z ++ sccache --zero-stats 2025-09-07T08:52:13.3914250Z Statistics zeroed. 2025-09-07T08:52:13.3920285Z ++ which ccache 2025-09-07T08:52:13.3934399Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *rocm* ]] 2025-09-07T08:52:13.3934878Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *s390x* ]] 2025-09-07T08:52:13.3935319Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T08:52:13.3938763Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T08:52:13.3950923Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T08:52:13.3951300Z + trap_add cleanup_workspace EXIT 2025-09-07T08:52:13.3951640Z + trap_add_cmd=cleanup_workspace 2025-09-07T08:52:13.3951929Z + shift 2025-09-07T08:52:13.3952180Z + for trap_add_name in "$@" 2025-09-07T08:52:13.3959626Z +++ trap -p EXIT 2025-09-07T08:52:13.3962499Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T08:52:13.3962852Z sccache_epilogue'\'' EXIT' 2025-09-07T08:52:13.3963147Z +++ extract_trap_cmd trap -- ' 2025-09-07T08:52:13.3963464Z sccache_epilogue' EXIT 2025-09-07T08:52:13.3963743Z +++ printf '%s\n' ' 2025-09-07T08:52:13.3964006Z sccache_epilogue' 2025-09-07T08:52:13.3964266Z ++ printf '%s\n' cleanup_workspace 2025-09-07T08:52:13.3965480Z + trap -- ' 2025-09-07T08:52:13.3965721Z sccache_epilogue 2025-09-07T08:52:13.3965993Z cleanup_workspace' EXIT 2025-09-07T08:52:13.3966737Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T08:52:27.0572383Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T08:52:27.0750663Z + echo 'Environment variables:' 2025-09-07T08:52:27.0751005Z Environment variables: 2025-09-07T08:52:27.0751254Z + env 2025-09-07T08:52:27.0759714Z GITHUB_WORKSPACE=/home/frank/_work/pytorch/pytorch 2025-09-07T08:52:27.0760124Z CONTINUE_THROUGH_ERROR=True 2025-09-07T08:52:27.0760536Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:52:27.0762742Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T08:52:27.0763059Z HOSTNAME=1d42aa8a446b 2025-09-07T08:52:27.0763581Z GITHUB_PATH=/home/frank/_work/_temp/_runner_file_commands/add_path_d05884fb-c161-4d2c-812c-bfa348d0f979 2025-09-07T08:52:27.0764157Z GITHUB_ACTION=__run_2 2025-09-07T08:52:27.0764441Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T08:52:27.0764741Z GITHUB_RUN_NUMBER=5418 2025-09-07T08:52:27.0765028Z TEST_CONFIG=inductor_huggingface_perf 2025-09-07T08:52:27.0765395Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T08:52:27.0765737Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T08:52:27.0766053Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:52:27.0766864Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T08:52:27.0767181Z GITHUB_TRIGGERING_ACTOR=desertfire 2025-09-07T08:52:27.0767502Z GITHUB_REF_TYPE=branch 2025-09-07T08:52:27.0767797Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:52:27.0768149Z XLA_CUDA= 2025-09-07T08:52:27.0768393Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T08:52:27.0768817Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T08:52:27.0769242Z *** 2025-09-07T08:52:27.0769452Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T08:52:27.0769748Z GITHUB_ACTIONS=true 2025-09-07T08:52:27.0770014Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:27.0770377Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:52:27.0770773Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:52:27.0771162Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:52:27.0771821Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly.yml@refs/heads/main 2025-09-07T08:52:27.0772428Z UCC_HOME=/usr 2025-09-07T08:52:27.0772848Z VERBOSE_TEST_LOGS=False 2025-09-07T08:52:27.0773137Z GITHUB_REF=refs/heads/main 2025-09-07T08:52:27.0773420Z SHARD_NUMBER=5 2025-09-07T08:52:27.0773669Z GITHUB_REF_PROTECTED=true 2025-09-07T08:52:27.0773935Z HOME=/var/lib/jenkins 2025-09-07T08:52:27.0774204Z SCCACHE_SERVER_PORT=5232 2025-09-07T08:52:27.0774521Z GITHUB_API_URL=https://api.github.com 2025-09-07T08:52:27.0774866Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T08:52:27.0775217Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T08:52:27.0775585Z USE_SYSTEM_NCCL=1 2025-09-07T08:52:27.0775836Z NUM_TEST_SHARDS=5 2025-09-07T08:52:27.0776075Z UCX_HOME=/usr 2025-09-07T08:52:27.0776562Z GITHUB_STATE=/home/frank/_work/_temp/_runner_file_commands/save_state_d05884fb-c161-4d2c-812c-bfa348d0f979 2025-09-07T08:52:27.0777354Z JOB_NAME=cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 5, 5, linux.aws.a100) 2025-09-07T08:52:27.0778107Z GITHUB_ENV=/home/frank/_work/_temp/_runner_file_commands/set_env_d05884fb-c161-4d2c-812c-bfa348d0f979 2025-09-07T08:52:27.0778801Z GITHUB_EVENT_PATH=/home/frank/_work/_temp/_github_workflow/event.json 2025-09-07T08:52:27.0779249Z GITHUB_EVENT_NAME=schedule 2025-09-07T08:52:27.0780528Z 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 2025-09-07T08:52:27.0781854Z GITHUB_RUN_ID=17525309334 2025-09-07T08:52:27.0782129Z INSTALLED_OPENBLAS= 2025-09-07T08:52:27.0782683Z GITHUB_STEP_SUMMARY=/home/frank/_work/_temp/_runner_file_commands/step_summary_d05884fb-c161-4d2c-812c-bfa348d0f979 2025-09-07T08:52:27.0783289Z GITHUB_ACTOR=desertfire 2025-09-07T08:52:27.0783547Z PR_NUMBER= 2025-09-07T08:52:27.0783776Z DESIRED_CUDA=12.8.1 2025-09-07T08:52:27.0784024Z GITHUB_RUN_ATTEMPT=1 2025-09-07T08:52:27.0784500Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T08:52:27.0784853Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T08:52:27.0785224Z TERM=vt100 2025-09-07T08:52:27.0785448Z INSTALLED_VISION=yes 2025-09-07T08:52:27.0785683Z BRANCH=main 2025-09-07T08:52:27.0785943Z SCCACHE_REGION=us-east-1 2025-09-07T08:52:27.0786229Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T08:52:27.0786532Z CUDA_PATH=/usr/local/cuda 2025-09-07T08:52:27.0786994Z GITHUB_ACTION_PATH=/home/frank/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T08:52:27.0787506Z GITHUB_SERVER_URL=https://github.com 2025-09-07T08:52:27.0787878Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T08:52:27.0788235Z REENABLED_ISSUES= 2025-09-07T08:52:27.0788468Z DOCS= 2025-09-07T08:52:27.0788689Z SHLVL=1 2025-09-07T08:52:27.0788896Z MAX_JOBS=10 2025-09-07T08:52:27.0789123Z GITHUB_ACTOR_ID=3659962 2025-09-07T08:52:27.0789473Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:52:27.0789860Z GITHUB_REF_NAME=main 2025-09-07T08:52:27.0790255Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:52:27.0790831Z GITHUB_JOB=test 2025-09-07T08:52:27.0791082Z NO_TEST_TIMEOUT=False 2025-09-07T08:52:27.0791334Z TD_DISTRIBUTED=False 2025-09-07T08:52:27.0791617Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T08:52:27.0791941Z GITHUB_RETENTION_DAYS=90 2025-09-07T08:52:27.0792223Z OPENSSL_DIR=/opt/openssl 2025-09-07T08:52:27.0792491Z GITHUB_ACTION_REPOSITORY= 2025-09-07T08:52:27.0793307Z 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 2025-09-07T08:52:27.0794148Z GITHUB_BASE_REF= 2025-09-07T08:52:27.0794393Z INSTALLED_ACL= 2025-09-07T08:52:27.0794806Z ARTIFACTS_FILE_SUFFIX=test-inductor_huggingface_perf-5-5-linux.aws.a100_49775768409 2025-09-07T08:52:27.0795498Z CI=true 2025-09-07T08:52:27.0795728Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T08:52:27.0796074Z RUST_LOG=sccache::server=error 2025-09-07T08:52:27.0796345Z JOB_ID=49775768409 2025-09-07T08:52:27.0796587Z GITHUB_HEAD_REF= 2025-09-07T08:52:27.0796832Z GITHUB_ACTION_REF= 2025-09-07T08:52:27.0797133Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T08:52:27.0797603Z TEST_SHOWLOCALS=False 2025-09-07T08:52:27.0797903Z GITHUB_WORKFLOW=inductor-A100-perf-nightly 2025-09-07T08:52:27.0798259Z DEBIAN_FRONTEND=noninteractive 2025-09-07T08:52:27.0798823Z GITHUB_OUTPUT=/home/frank/_work/_temp/_runner_file_commands/set_output_d05884fb-c161-4d2c-812c-bfa348d0f979 2025-09-07T08:52:27.0799389Z NO_TD=False 2025-09-07T08:52:27.0799633Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T08:52:27.0799953Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T08:52:27.0800275Z _=/usr/bin/env 2025-09-07T08:52:27.0800589Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T08:52:27.1056883Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-09-07T08:52:27.1057530Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-09-07T08:52:27.1058142Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-09-07T08:52:27.1058769Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-09-07T08:52:27.1059227Z + BUILD_DIR=build 2025-09-07T08:52:27.1059484Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T08:52:27.1059794Z + BUILD_BIN_DIR=build/bin 2025-09-07T08:52:27.1060067Z + SHARD_NUMBER=5 2025-09-07T08:52:27.1060296Z + NUM_TEST_SHARDS=5 2025-09-07T08:52:27.1060576Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:52:27.1060911Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:52:27.1061190Z + export VALGRIND=ON 2025-09-07T08:52:27.1061445Z + VALGRIND=ON 2025-09-07T08:52:27.1061760Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *clang9* ]] 2025-09-07T08:52:27.1062207Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *xpu* ]] 2025-09-07T08:52:27.1062573Z + detect_cuda_arch 2025-09-07T08:52:27.1063072Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *cuda* ]] 2025-09-07T08:52:27.1063455Z + command -v nvidia-smi 2025-09-07T08:52:27.1063725Z /usr/bin/nvidia-smi 2025-09-07T08:52:27.1066748Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-09-07T08:52:27.1067829Z ++ tail -n 1 2025-09-07T08:52:27.1279081Z + TORCH_CUDA_ARCH_LIST=8.0 2025-09-07T08:52:27.1279386Z + export TORCH_CUDA_ARCH_LIST 2025-09-07T08:52:27.1279747Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *s390x* ]] 2025-09-07T08:52:27.1280099Z + [[ 0 == \1 ]] 2025-09-07T08:52:27.1280328Z + [[ True == \1 ]] 2025-09-07T08:52:27.1280636Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *bazel* ]] 2025-09-07T08:52:27.1284062Z ++ realpath build/custom_test_artifacts 2025-09-07T08:52:27.1292940Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T08:52:27.1293444Z + [[ -n '' ]] 2025-09-07T08:52:27.1293697Z + echo 'Environment variables' 2025-09-07T08:52:27.1293998Z Environment variables 2025-09-07T08:52:27.1294244Z + env 2025-09-07T08:52:27.1301434Z GITHUB_WORKSPACE=/home/frank/_work/pytorch/pytorch 2025-09-07T08:52:27.1301863Z CONTINUE_THROUGH_ERROR=True 2025-09-07T08:52:27.1302522Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:52:27.1303174Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T08:52:27.1303476Z HOSTNAME=1d42aa8a446b 2025-09-07T08:52:27.1303980Z GITHUB_PATH=/home/frank/_work/_temp/_runner_file_commands/add_path_d05884fb-c161-4d2c-812c-bfa348d0f979 2025-09-07T08:52:27.1304553Z GITHUB_ACTION=__run_2 2025-09-07T08:52:27.1304824Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T08:52:27.1305130Z GITHUB_RUN_NUMBER=5418 2025-09-07T08:52:27.1305405Z TEST_CONFIG=inductor_huggingface_perf 2025-09-07T08:52:27.1305746Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T08:52:27.1306082Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T08:52:27.1306406Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:52:27.1306796Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T08:52:27.1307102Z GITHUB_TRIGGERING_ACTOR=desertfire 2025-09-07T08:52:27.1307413Z GITHUB_REF_TYPE=branch 2025-09-07T08:52:27.1307675Z TORCH_CUDA_ARCH_LIST=8.0 2025-09-07T08:52:27.1307971Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:52:27.1308313Z XLA_CUDA= 2025-09-07T08:52:27.1308544Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T08:52:27.1308958Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T08:52:27.1309462Z *** 2025-09-07T08:52:27.1309689Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T08:52:27.1309967Z GITHUB_ACTIONS=true 2025-09-07T08:52:27.1310230Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:27.1310585Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:52:27.1310987Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:52:27.1311357Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:52:27.1311997Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly.yml@refs/heads/main 2025-09-07T08:52:27.1312587Z UCC_HOME=/usr 2025-09-07T08:52:27.1312829Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:52:27.1313104Z VERBOSE_TEST_LOGS=False 2025-09-07T08:52:27.1313369Z GITHUB_REF=refs/heads/main 2025-09-07T08:52:27.1313637Z SHARD_NUMBER=5 2025-09-07T08:52:27.1313881Z GITHUB_REF_PROTECTED=true 2025-09-07T08:52:27.1314137Z HOME=/var/lib/jenkins 2025-09-07T08:52:27.1314393Z SCCACHE_SERVER_PORT=5232 2025-09-07T08:52:27.1314693Z GITHUB_API_URL=https://api.github.com 2025-09-07T08:52:27.1315031Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T08:52:27.1315372Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T08:52:27.1315718Z USE_SYSTEM_NCCL=1 2025-09-07T08:52:27.1315956Z NUM_TEST_SHARDS=5 2025-09-07T08:52:27.1316185Z UCX_HOME=/usr 2025-09-07T08:52:27.1316671Z GITHUB_STATE=/home/frank/_work/_temp/_runner_file_commands/save_state_d05884fb-c161-4d2c-812c-bfa348d0f979 2025-09-07T08:52:27.1317542Z JOB_NAME=cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 5, 5, linux.aws.a100) 2025-09-07T08:52:27.1318296Z GITHUB_ENV=/home/frank/_work/_temp/_runner_file_commands/set_env_d05884fb-c161-4d2c-812c-bfa348d0f979 2025-09-07T08:52:27.1319182Z GITHUB_EVENT_PATH=/home/frank/_work/_temp/_github_workflow/event.json 2025-09-07T08:52:27.1319625Z GITHUB_EVENT_NAME=schedule 2025-09-07T08:52:27.1320906Z 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 2025-09-07T08:52:27.1322227Z GITHUB_RUN_ID=17525309334 2025-09-07T08:52:27.1322498Z INSTALLED_OPENBLAS= 2025-09-07T08:52:27.1323055Z GITHUB_STEP_SUMMARY=/home/frank/_work/_temp/_runner_file_commands/step_summary_d05884fb-c161-4d2c-812c-bfa348d0f979 2025-09-07T08:52:27.1323664Z GITHUB_ACTOR=desertfire 2025-09-07T08:52:27.1323920Z PR_NUMBER= 2025-09-07T08:52:27.1324139Z DESIRED_CUDA=12.8.1 2025-09-07T08:52:27.1324386Z GITHUB_RUN_ATTEMPT=1 2025-09-07T08:52:27.1324619Z VALGRIND=ON 2025-09-07T08:52:27.1324853Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T08:52:27.1325199Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T08:52:27.1325562Z TERM=vt100 2025-09-07T08:52:27.1325770Z INSTALLED_VISION=yes 2025-09-07T08:52:27.1326016Z BRANCH=main 2025-09-07T08:52:27.1326346Z SCCACHE_REGION=us-east-1 2025-09-07T08:52:27.1326625Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T08:52:27.1326906Z CUDA_PATH=/usr/local/cuda 2025-09-07T08:52:27.1327356Z GITHUB_ACTION_PATH=/home/frank/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T08:52:27.1327883Z GITHUB_SERVER_URL=https://github.com 2025-09-07T08:52:27.1328251Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T08:52:27.1328592Z REENABLED_ISSUES= 2025-09-07T08:52:27.1328828Z DOCS= 2025-09-07T08:52:27.1329031Z SHLVL=1 2025-09-07T08:52:27.1329238Z MAX_JOBS=10 2025-09-07T08:52:27.1329450Z GITHUB_ACTOR_ID=3659962 2025-09-07T08:52:27.1329796Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:52:27.1330196Z GITHUB_REF_NAME=main 2025-09-07T08:52:27.1330589Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:52:27.1331027Z GITHUB_JOB=test 2025-09-07T08:52:27.1331271Z NO_TEST_TIMEOUT=False 2025-09-07T08:52:27.1331534Z TD_DISTRIBUTED=False 2025-09-07T08:52:27.1331815Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T08:52:27.1332115Z GITHUB_RETENTION_DAYS=90 2025-09-07T08:52:27.1332388Z OPENSSL_DIR=/opt/openssl 2025-09-07T08:52:27.1332828Z GITHUB_ACTION_REPOSITORY= 2025-09-07T08:52:27.1333651Z 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 2025-09-07T08:52:27.1334484Z GITHUB_BASE_REF= 2025-09-07T08:52:27.1334727Z INSTALLED_ACL= 2025-09-07T08:52:27.1335160Z ARTIFACTS_FILE_SUFFIX=test-inductor_huggingface_perf-5-5-linux.aws.a100_49775768409 2025-09-07T08:52:27.1335664Z CI=true 2025-09-07T08:52:27.1335884Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T08:52:27.1336222Z RUST_LOG=sccache::server=error 2025-09-07T08:52:27.1336500Z JOB_ID=49775768409 2025-09-07T08:52:27.1336730Z GITHUB_HEAD_REF= 2025-09-07T08:52:27.1336957Z GITHUB_ACTION_REF= 2025-09-07T08:52:27.1337255Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T08:52:27.1337620Z TEST_SHOWLOCALS=False 2025-09-07T08:52:27.1337911Z GITHUB_WORKFLOW=inductor-A100-perf-nightly 2025-09-07T08:52:27.1338243Z DEBIAN_FRONTEND=noninteractive 2025-09-07T08:52:27.1338798Z GITHUB_OUTPUT=/home/frank/_work/_temp/_runner_file_commands/set_output_d05884fb-c161-4d2c-812c-bfa348d0f979 2025-09-07T08:52:27.1339372Z NO_TD=False 2025-09-07T08:52:27.1339609Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T08:52:27.1339910Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T08:52:27.1340228Z _=/usr/bin/env 2025-09-07T08:52:27.1340460Z + echo 'Testing pytorch' 2025-09-07T08:52:27.1340726Z Testing pytorch 2025-09-07T08:52:27.1340961Z + export LANG=C.UTF-8 2025-09-07T08:52:27.1341210Z + LANG=C.UTF-8 2025-09-07T08:52:27.1341432Z + PR_NUMBER= 2025-09-07T08:52:27.1341702Z + [[ inductor_huggingface_perf == \d\e\f\a\u\l\t ]] 2025-09-07T08:52:27.1342239Z + [[ inductor_huggingface_perf == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T08:52:27.1342649Z + [[ inductor_huggingface_perf == \s\l\o\w ]] 2025-09-07T08:52:27.1343094Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *slow-gradcheck* ]] 2025-09-07T08:52:27.1343571Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *cuda* ]] 2025-09-07T08:52:27.1343962Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T08:52:27.1344327Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T08:52:27.1344681Z + [[ inductor_huggingface_perf == *crossref* ]] 2025-09-07T08:52:27.1345081Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *rocm* ]] 2025-09-07T08:52:27.1345493Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *xpu* ]] 2025-09-07T08:52:27.1345926Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *-bazel-* ]] 2025-09-07T08:52:27.1346313Z + pip_install ninja==1.10.2 2025-09-07T08:52:27.1346689Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T08:52:27.1347168Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T08:52:28.0825639Z Collecting ninja==1.10.2 2025-09-07T08:52:28.3501827Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T08:52:28.9998654Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T08:52:30.5540549Z Installing collected packages: ninja 2025-09-07T08:52:30.5540965Z Attempting uninstall: ninja 2025-09-07T08:52:30.5550421Z Found existing installation: ninja 1.11.1.3 2025-09-07T08:52:30.5570531Z Uninstalling ninja-1.11.1.3: 2025-09-07T08:52:31.0151515Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T08:52:31.2964620Z Successfully installed ninja-1.10.2 2025-09-07T08:52:31.3856671Z + 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 2025-09-07T08:52:31.3860719Z + 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 2025-09-07T08:52:31.3863211Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *aarch64* ]] 2025-09-07T08:52:31.3864257Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *asan* ]] 2025-09-07T08:52:31.3865242Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *-debug* ]] 2025-09-07T08:52:31.3866282Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *-bazel-* ]] 2025-09-07T08:52:31.3867715Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm80. Expect the assertion to pass' 2025-09-07T08:52:31.3869499Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm80. Expect the assertion to pass 2025-09-07T08:52:31.3870707Z + cd test 2025-09-07T08:52:31.3871508Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T08:52:31.9929415Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:52:31.9930835Z import pynvml # type: ignore[import] 2025-09-07T08:52:33.2631905Z + [[ inductor_huggingface_perf == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T08:52:33.2633145Z + [[ inductor_huggingface_perf == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T08:52:33.2634394Z + [[ inductor_huggingface_perf == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T08:52:33.2641983Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T08:52:33.2644557Z + [[ inductor_huggingface_perf == *pr_time_benchmarks* ]] 2025-09-07T08:52:33.2645555Z + [[ inductor_huggingface_perf == *dynamo_eager* ]] 2025-09-07T08:52:33.2646471Z + [[ inductor_huggingface_perf == *aot_eager* ]] 2025-09-07T08:52:33.2647385Z + [[ inductor_huggingface_perf == *aot_inductor* ]] 2025-09-07T08:52:33.2648395Z + [[ inductor_huggingface_perf == *max_autotune_inductor* ]] 2025-09-07T08:52:33.2650060Z + [[ inductor_huggingface_perf == *inductor* ]] 2025-09-07T08:52:33.2650906Z + [[ inductor_huggingface_perf != *perf* ]] 2025-09-07T08:52:33.2651775Z + [[ inductor_huggingface_perf == *dynamic* ]] 2025-09-07T08:52:33.2652625Z + [[ inductor_huggingface_perf == *cpu* ]] 2025-09-07T08:52:33.2653800Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-09-07T08:52:33.2695812Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *libtorch* ]] 2025-09-07T08:52:33.2696867Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *-bazel-* ]] 2025-09-07T08:52:33.2701812Z + cd test 2025-09-07T08:52:33.2703090Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T08:52:33.8891093Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:52:33.8892497Z import pynvml # type: ignore[import] 2025-09-07T08:52:36.1669415Z PyTorch built with: 2025-09-07T08:52:36.1669730Z - GCC 9.5 2025-09-07T08:52:36.1669967Z - C++ Version: 201703 2025-09-07T08:52:36.1670916Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T08:52:36.1671669Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T08:52:36.1672131Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T08:52:36.1672480Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T08:52:36.1672824Z - NNPACK is enabled 2025-09-07T08:52:36.1673085Z - CPU capability usage: AVX512 2025-09-07T08:52:36.1673383Z - CUDA Runtime 12.8 2025-09-07T08:52:36.1673738Z - NVCC architecture flags: -gencode;arch=compute_80,code=sm_80 2025-09-07T08:52:36.1674138Z - CuDNN 90.8 2025-09-07T08:52:36.1679048Z - 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, 2025-09-07T08:52:36.1684029Z 2025-09-07T08:52:36.9495251Z + cd test 2025-09-07T08:52:36.9495662Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T08:52:37.5484502Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:52:37.5485906Z import pynvml # type: ignore[import] 2025-09-07T08:52:38.4274223Z ATen/Parallel: 2025-09-07T08:52:38.4274565Z at::get_num_threads() : 12 2025-09-07T08:52:38.4274876Z at::get_num_interop_threads() : 48 2025-09-07T08:52:38.4275198Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T08:52:38.4275492Z omp_get_max_threads() : 12 2025-09-07T08:52:38.4276080Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T08:52:38.4277091Z mkl_get_max_threads() : 12 2025-09-07T08:52:38.4277572Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T08:52:38.4278056Z std::thread::hardware_concurrency() : 96 2025-09-07T08:52:38.4278375Z Environment variables: 2025-09-07T08:52:38.4278648Z OMP_NUM_THREADS : [not set] 2025-09-07T08:52:38.4278932Z MKL_NUM_THREADS : [not set] 2025-09-07T08:52:38.4279223Z ATen parallel backend: OpenMP 2025-09-07T08:52:38.4279414Z 2025-09-07T08:52:38.7620483Z + [[ inductor_huggingface_perf == *numpy_2* ]] 2025-09-07T08:52:38.7620963Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *aarch64* ]] 2025-09-07T08:52:38.7621388Z + [[ inductor_huggingface_perf == *backward* ]] 2025-09-07T08:52:38.7621743Z + [[ inductor_huggingface_perf == *xla* ]] 2025-09-07T08:52:38.7622090Z + [[ inductor_huggingface_perf == *vllm* ]] 2025-09-07T08:52:38.7622456Z + [[ inductor_huggingface_perf == *executorch* ]] 2025-09-07T08:52:38.7622861Z + [[ inductor_huggingface_perf == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T08:52:38.7623320Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *libtorch* ]] 2025-09-07T08:52:38.7623743Z + [[ inductor_huggingface_perf == distributed ]] 2025-09-07T08:52:38.7624543Z + [[ inductor_huggingface_perf == *operator_benchmark* ]] 2025-09-07T08:52:38.7624988Z + [[ inductor_huggingface_perf == *inductor_distributed* ]] 2025-09-07T08:52:38.7625429Z + [[ inductor_huggingface_perf == *inductor-halide* ]] 2025-09-07T08:52:38.7625856Z + [[ inductor_huggingface_perf == *inductor-triton-cpu* ]] 2025-09-07T08:52:38.7626342Z + [[ inductor_huggingface_perf == *inductor-micro-benchmark* ]] 2025-09-07T08:52:38.7626816Z + [[ inductor_huggingface_perf == *huggingface* ]] 2025-09-07T08:52:38.7627174Z + install_torchvision 2025-09-07T08:52:38.7627421Z + local orig_preload 2025-09-07T08:52:38.7627669Z + local commit 2025-09-07T08:52:38.7627910Z ++ get_pinned_commit vision 2025-09-07T08:52:38.7628219Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T08:52:38.7637520Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T08:52:38.7637991Z + orig_preload= 2025-09-07T08:52:38.7638247Z + '[' -n '' ']' 2025-09-07T08:52:38.7638549Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *cuda* ]] 2025-09-07T08:52:38.7638921Z + export FORCE_CUDA=1 2025-09-07T08:52:38.7639177Z + FORCE_CUDA=1 2025-09-07T08:52:38.7639409Z + export WITH_CUDA=1 2025-09-07T08:52:38.7639655Z + WITH_CUDA=1 2025-09-07T08:52:38.7640230Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T08:52:38.7641152Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T08:52:38.7641740Z + local wheel_dir=dist/vision 2025-09-07T08:52:38.7642025Z + local found_whl=0 2025-09-07T08:52:38.7642292Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:52:38.7642748Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T08:52:38.7643218Z + found_whl=1 2025-09-07T08:52:38.7643438Z + break 2025-09-07T08:52:38.7643647Z + '[' 1 == 0 ']' 2025-09-07T08:52:38.7643879Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:52:38.7644381Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:52:38.7645077Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl') 2025-09-07T08:52:38.7645547Z + local args 2025-09-07T08:52:38.7645948Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T08:52:38.7646455Z + for path in "${args[@]}" 2025-09-07T08:52:38.7646940Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl' 2025-09-07T08:52:38.7647655Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:52:38.7648468Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:52:39.1203488Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:52:39.1319938Z Installing collected packages: torchvision 2025-09-07T08:52:40.3005118Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T08:52:40.3435244Z + '[' -n '' ']' 2025-09-07T08:52:40.3435500Z + id=4 2025-09-07T08:52:40.3435732Z + test_dynamo_benchmark huggingface 4 2025-09-07T08:52:40.3439182Z ++ pwd 2025-09-07T08:52:40.3440992Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:52:40.3441407Z + local suite=huggingface 2025-09-07T08:52:40.3441675Z + shift 2025-09-07T08:52:40.3441889Z + local shard_id=4 2025-09-07T08:52:40.3442126Z + shift 2025-09-07T08:52:40.3442386Z + [[ inductor_huggingface_perf == *perf_compare* ]] 2025-09-07T08:52:40.3442774Z + [[ inductor_huggingface_perf == *perf* ]] 2025-09-07T08:52:40.3443127Z + [[ inductor_huggingface_perf == *b200* ]] 2025-09-07T08:52:40.3443524Z + test_single_dynamo_benchmark dashboard huggingface 4 2025-09-07T08:52:40.3445175Z ++ pwd 2025-09-07T08:52:40.3447107Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:52:40.3447586Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:52:40.3605353Z + local name=dashboard 2025-09-07T08:52:40.3610664Z + shift 2025-09-07T08:52:40.3610892Z + local suite=huggingface 2025-09-07T08:52:40.3611159Z + shift 2025-09-07T08:52:40.3611375Z + local shard_id=4 2025-09-07T08:52:40.3611610Z + shift 2025-09-07T08:52:40.3611811Z + partition_flags=() 2025-09-07T08:52:40.3612073Z + local partition_flags 2025-09-07T08:52:40.3612331Z + [[ -n 5 ]] 2025-09-07T08:52:40.3612549Z + [[ -n 4 ]] 2025-09-07T08:52:40.3613234Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T08:52:40.3613794Z + [[ inductor_huggingface_perf == *perf_compare* ]] 2025-09-07T08:52:40.3614183Z + [[ inductor_huggingface_perf == *perf* ]] 2025-09-07T08:52:40.3614719Z + test_perf_for_dashboard huggingface --device cuda --total-partitions 5 --partition-id 4 2025-09-07T08:52:40.3615218Z ++ pwd 2025-09-07T08:52:40.3615548Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:52:40.3616018Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:52:40.3624248Z + local suite=huggingface 2025-09-07T08:52:40.3624515Z + shift 2025-09-07T08:52:40.3624738Z + local backend=inductor 2025-09-07T08:52:40.3624998Z + modes=() 2025-09-07T08:52:40.3625211Z + local modes 2025-09-07T08:52:40.3626514Z + [[ 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* ]] 2025-09-07T08:52:40.3627872Z + modes+=(training) 2025-09-07T08:52:40.3629190Z + [[ 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* ]] 2025-09-07T08:52:40.3630557Z + modes+=(inference) 2025-09-07T08:52:40.3630837Z + targets=('accuracy' 'performance') 2025-09-07T08:52:40.3631142Z + local targets 2025-09-07T08:52:40.3631360Z + local device=cuda 2025-09-07T08:52:40.3631630Z + [[ inductor_huggingface_perf == *cpu* ]] 2025-09-07T08:52:40.3631991Z + [[ inductor_huggingface_perf == *cuda_a10g* ]] 2025-09-07T08:52:40.3632356Z + [[ inductor_huggingface_perf == *h100* ]] 2025-09-07T08:52:40.3632695Z + [[ inductor_huggingface_perf == *b200* ]] 2025-09-07T08:52:40.3633039Z + [[ inductor_huggingface_perf == *rocm* ]] 2025-09-07T08:52:40.3633370Z + for mode in "${modes[@]}" 2025-09-07T08:52:40.3633661Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T08:52:40.3633971Z + [[ training == \t\r\a\i\n\i\n\g ]] 2025-09-07T08:52:40.3634270Z + dtype=amp 2025-09-07T08:52:40.3634502Z + for target in "${targets[@]}" 2025-09-07T08:52:40.3634803Z + target_flag=('--accuracy') 2025-09-07T08:52:40.3635071Z + local target_flag 2025-09-07T08:52:40.3635331Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T08:52:40.3635657Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T08:52:40.3636196Z + target_flag+=(--no-translation-validation) 2025-09-07T08:52:40.3637674Z + [[ 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* ]] 2025-09-07T08:52:40.3640097Z + [[ 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* ]] 2025-09-07T08:52:40.3642663Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_accuracy.csv 2025-09-07T08:52:41.4307670Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:52:41.4309516Z import pynvml # type: ignore[import] 2025-09-07T08:52:44.9068903Z /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. 2025-09-07T08:52:44.9070477Z from pkg_resources import resource_filename 2025-09-07T08:52:45.3118539Z 2025-09-07T08:52:45.3119307Z config.json: 0% 0.00/694 [00:00 will be ignored 2025-09-07T08:55:43.0235739Z pass 2025-09-07T08:55:48.2732879Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:55:48.2734312Z import pynvml # type: ignore[import] 2025-09-07T08:55:51.6507089Z /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. 2025-09-07T08:55:51.6508726Z from pkg_resources import resource_filename 2025-09-07T08:55:52.3644872Z 2025-09-07T08:55:54.3561566Z loading model: 0it [00:00, ?it/s]We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T08:55:54.3563167Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T08:55:54.3564776Z WARNING:transformers.modeling_utils:We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T08:55:54.3566405Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T08:55:54.7595937Z 2025-09-07T08:55:54.7596403Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:55:54.7596815Z cuda train RobertaForQuestionAnswering 2025-09-07T08:56:22.8108386Z W0907 08:56:22.809000 2820 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:56:54.8954557Z pass 2025-09-07T08:57:00.1274738Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:57:00.1276153Z import pynvml # type: ignore[import] 2025-09-07T08:57:03.4930333Z /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. 2025-09-07T08:57:03.4932009Z from pkg_resources import resource_filename 2025-09-07T08:57:04.1848873Z 2025-09-07T08:57:06.1436488Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:57:06.1436877Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:57:06.1437279Z cuda train T5ForConditionalGeneration 2025-09-07T08:57:39.9611615Z W0907 08:57:39.960000 3236 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:58:03.0413947Z pass 2025-09-07T08:58:07.5819568Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:58:07.5820967Z import pynvml # type: ignore[import] 2025-09-07T08:58:10.9337001Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:58:10.9338562Z from pkg_resources import resource_filename 2025-09-07T08:58:11.6550307Z 2025-09-07T08:58:13.5571348Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:58:13.5571751Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:58:13.5572083Z cuda train T5Small 2025-09-07T08:58:23.2048554Z W0907 08:58:23.204000 3907 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:58:28.1738072Z pass 2025-09-07T08:58:31.6250413Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:58:31.6251841Z import pynvml # type: ignore[import] 2025-09-07T08:58:34.9885083Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:58:34.9886653Z from pkg_resources import resource_filename 2025-09-07T08:58:35.6629032Z 2025-09-07T08:58:40.0131753Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:58:40.0132128Z loading model: 0it [00:04, ?it/s] 2025-09-07T08:58:40.0132499Z cuda train TrOCRForCausalLM 2025-09-07T08:58:40.0430754Z WARNING:common:fp64 golden ref were not generated for TrOCRForCausalLM. Setting accuracy check to cosine 2025-09-07T08:58:50.6315562Z pass 2025-09-07T08:58:54.0699409Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:58:54.0700843Z import pynvml # type: ignore[import] 2025-09-07T08:58:57.4244699Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:58:57.4246280Z from pkg_resources import resource_filename 2025-09-07T08:58:58.1316031Z 2025-09-07T08:59:08.8045452Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:59:08.8045887Z loading model: 0it [00:10, ?it/s] 2025-09-07T08:59:08.8046245Z cuda train XGLMForCausalLM 2025-09-07T08:59:08.8415044Z WARNING:common:fp64 golden ref were not generated for XGLMForCausalLM. Setting accuracy check to cosine 2025-09-07T08:59:19.9054951Z pass 2025-09-07T08:59:23.4706793Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:59:23.4708217Z import pynvml # type: ignore[import] 2025-09-07T08:59:26.8319945Z /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. 2025-09-07T08:59:26.8321520Z from pkg_resources import resource_filename 2025-09-07T08:59:27.5285435Z 2025-09-07T08:59:32.6214088Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:59:32.6214472Z loading model: 0it [00:05, ?it/s] 2025-09-07T08:59:32.6214811Z cuda train XLNetLMHeadModel 2025-09-07T09:00:14.1411359Z W0907 09:00:14.140000 5022 site-packages/torch/_inductor/utils.py:2298] [2/0_1] DeviceCopy in input program 2025-09-07T09:00:57.0134792Z W0907 09:00:57.012000 5022 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:02:06.4464267Z pass 2025-09-07T09:02:13.7016344Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:02:13.7017767Z import pynvml # type: ignore[import] 2025-09-07T09:02:17.0704875Z /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. 2025-09-07T09:02:17.0706451Z from pkg_resources import resource_filename 2025-09-07T09:02:17.9197543Z 2025-09-07T09:02:20.6454098Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:02:20.6454484Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:02:20.6454819Z cuda train YituTechConvBert 2025-09-07T09:03:06.9751637Z W0907 09:03:06.974000 5991 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:03:58.6141572Z pass 2025-09-07T09:04:03.7874793Z accuracy pass_rate=100.00% 2025-09-07T09:04:03.7882375Z calls_captured gmean=358.94x mean=902.000x 2025-09-07T09:04:03.7886741Z unique_graphs gmean=3.85x mean=4.750x 2025-09-07T09:04:03.7890750Z graph_breaks gmean=5.68x mean=5.750x 2025-09-07T09:04:03.7895172Z unique_graph_breaks gmean=4.39x mean=4.417x 2025-09-07T09:04:03.7899221Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:04:03.7903228Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:04:03.7907274Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:04:03.7908649Z compilation_latency mean=41.895 seconds 2025-09-07T09:04:04.9000484Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *cudagraphs-true* ]] 2025-09-07T09:04:04.9009186Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 5 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_accuracy.csv 2025-09-07T09:04:05.9387723Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:04:05.9389136Z import pynvml # type: ignore[import] 2025-09-07T09:04:09.3809754Z /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. 2025-09-07T09:04:09.3811390Z from pkg_resources import resource_filename 2025-09-07T09:04:11.4803302Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:04:11.4805135Z import pynvml # type: ignore[import] 2025-09-07T09:04:14.8387790Z /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. 2025-09-07T09:04:14.8389371Z from pkg_resources import resource_filename 2025-09-07T09:04:15.4990502Z 2025-09-07T09:04:17.6700179Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:04:17.6700539Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:04:17.6700893Z cuda train PLBartForCausalLM 2025-09-07T09:04:26.7055483Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/plbart/modeling_plbart.py", line 298, in forward 2025-09-07T09:04:26.7056790Z return super().forward(position_ids + self.offset) 2025-09-07T09:04:26.7057059Z 2025-09-07T09:04:26.7057078Z 2025-09-07T09:04:26.8954799Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/plbart/modeling_plbart.py", line 70, in forward 2025-09-07T09:04:26.8956054Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:04:26.8956325Z 2025-09-07T09:04:26.8956330Z 2025-09-07T09:04:27.2495688Z pass 2025-09-07T09:04:30.7169131Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:04:30.7170559Z import pynvml # type: ignore[import] 2025-09-07T09:04:34.0733841Z /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. 2025-09-07T09:04:34.0735417Z from pkg_resources import resource_filename 2025-09-07T09:04:34.7460172Z 2025-09-07T09:04:38.4668479Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:04:38.4668844Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:04:38.4669206Z cuda train PLBartForConditionalGeneration 2025-09-07T09:04:43.8293469Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/plbart/modeling_plbart.py", line 70, in forward 2025-09-07T09:04:43.8294769Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:04:43.8295058Z 2025-09-07T09:04:43.8295063Z 2025-09-07T09:04:46.0000853Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/plbart/modeling_plbart.py", line 298, in forward 2025-09-07T09:04:46.0002113Z return super().forward(position_ids + self.offset) 2025-09-07T09:04:46.0002400Z 2025-09-07T09:04:46.0002404Z 2025-09-07T09:04:51.1638422Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/plbart/modeling_plbart.py", line 298, in forward 2025-09-07T09:04:51.1639699Z return super().forward(position_ids + self.offset) 2025-09-07T09:04:51.1639997Z 2025-09-07T09:04:51.1640002Z 2025-09-07T09:04:52.1501228Z pass 2025-09-07T09:04:55.7160332Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:04:55.7162238Z import pynvml # type: ignore[import] 2025-09-07T09:04:59.0773519Z /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. 2025-09-07T09:04:59.0775111Z from pkg_resources import resource_filename 2025-09-07T09:04:59.7644384Z 2025-09-07T09:05:05.7392129Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:05:05.7392554Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:05:05.7392902Z cuda train PegasusForCausalLM 2025-09-07T09:05:15.2397372Z pass 2025-09-07T09:05:18.7779289Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:05:18.7780695Z import pynvml # type: ignore[import] 2025-09-07T09:05:22.1259820Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:05:22.1261381Z from pkg_resources import resource_filename 2025-09-07T09:05:22.8421733Z 2025-09-07T09:05:32.2459344Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:05:32.2459733Z loading model: 0it [00:09, ?it/s] 2025-09-07T09:05:32.2460091Z cuda train PegasusForConditionalGeneration 2025-09-07T09:05:47.7492899Z pass 2025-09-07T09:05:51.4292492Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:05:51.4294137Z import pynvml # type: ignore[import] 2025-09-07T09:05:54.7810176Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:05:54.7811750Z from pkg_resources import resource_filename 2025-09-07T09:05:55.4496820Z 2025-09-07T09:05:55.4647393Z loading model: 0it [00:00, ?it/s]If you want to use `RobertaLMHeadModel` as a standalone, add `is_decoder=True.` 2025-09-07T09:05:55.4648407Z WARNING:transformers.models.roberta.modeling_roberta:If you want to use `RobertaLMHeadModel` as a standalone, add `is_decoder=True.` 2025-09-07T09:05:57.8585950Z We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T09:05:57.8587426Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T09:05:57.8589034Z WARNING:transformers.modeling_utils:We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T09:05:57.8590662Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T09:05:58.2510828Z 2025-09-07T09:05:58.2511107Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:05:58.2511486Z cuda train RobertaForCausalLM 2025-09-07T09:06:26.1582440Z 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 2025-09-07T09:06:26.1583701Z pred = mod(**cloned_inputs) 2025-09-07T09:06:26.1584416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 999, in forward 2025-09-07T09:06:26.1585146Z outputs = self.roberta( 2025-09-07T09:06:26.1585855Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 826, in forward 2025-09-07T09:06:26.1586593Z embedding_output = self.embeddings( 2025-09-07T09:06:26.1587332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 117, in forward 2025-09-07T09:06:26.1588150Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T09:06:26.1588468Z 2025-09-07T09:06:26.1588473Z 2025-09-07T09:06:26.4124493Z W0907 09:06:26.411000 7565 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:06:59.2967114Z Run failed with return code: -11 2025-09-07T09:06:59.2967501Z Output: None 2025-09-07T09:06:59.2967721Z Error: None 2025-09-07T09:07:00.3362372Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:07:00.3363792Z import pynvml # type: ignore[import] 2025-09-07T09:07:03.6956604Z /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. 2025-09-07T09:07:03.6958335Z from pkg_resources import resource_filename 2025-09-07T09:07:04.3958655Z 2025-09-07T09:07:06.3640844Z loading model: 0it [00:00, ?it/s]We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T09:07:06.3642875Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T09:07:06.3644495Z WARNING:transformers.modeling_utils:We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T09:07:06.3646113Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T09:07:06.7645452Z 2025-09-07T09:07:06.7645884Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:07:06.7646319Z cuda train RobertaForQuestionAnswering 2025-09-07T09:07:34.3255098Z 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 2025-09-07T09:07:34.3256394Z pred = mod(**cloned_inputs) 2025-09-07T09:07:34.3257112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 1516, in forward 2025-09-07T09:07:34.3258235Z outputs = self.roberta( 2025-09-07T09:07:34.3258926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 826, in forward 2025-09-07T09:07:34.3259655Z embedding_output = self.embeddings( 2025-09-07T09:07:34.3260386Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 117, in forward 2025-09-07T09:07:34.3261211Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T09:07:34.3261526Z 2025-09-07T09:07:34.3261545Z 2025-09-07T09:07:34.5897460Z W0907 09:07:34.588000 7700 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:08:06.9957035Z Run failed with return code: -11 2025-09-07T09:08:06.9957478Z Output: None 2025-09-07T09:08:06.9957715Z Error: None 2025-09-07T09:08:08.0724280Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:08:08.0725782Z import pynvml # type: ignore[import] 2025-09-07T09:08:11.4278306Z /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. 2025-09-07T09:08:11.4279894Z from pkg_resources import resource_filename 2025-09-07T09:08:12.0838786Z 2025-09-07T09:08:13.9995420Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:08:13.9995844Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:08:13.9996192Z cuda train T5ForConditionalGeneration 2025-09-07T09:08:47.8685793Z 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 2025-09-07T09:08:47.8687050Z pred = mod(**cloned_inputs) 2025-09-07T09:08:47.8687713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward 2025-09-07T09:08:47.8688389Z decoder_outputs = self.decoder( 2025-09-07T09:08:47.8689050Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward 2025-09-07T09:08:47.8689728Z layer_outputs = layer_module( 2025-09-07T09:08:47.8690352Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:08:47.8691389Z return super().__call__(*args, **kwargs) 2025-09-07T09:08:47.8692059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward 2025-09-07T09:08:47.8693104Z self_attention_outputs = self.layer[0]( 2025-09-07T09:08:47.8693787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward 2025-09-07T09:08:47.8694477Z attention_output = self.SelfAttention( 2025-09-07T09:08:47.8695142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 539, in forward 2025-09-07T09:08:47.8695823Z position_bias = self.compute_bias( 2025-09-07T09:08:47.8696519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 463, in compute_bias 2025-09-07T09:08:47.8697500Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T09:08:47.8698000Z 2025-09-07T09:08:47.8698005Z 2025-09-07T09:08:48.0753420Z W0907 09:08:48.074000 7835 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:09:09.5930970Z pass 2025-09-07T09:09:14.1754753Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:09:14.1756170Z import pynvml # type: ignore[import] 2025-09-07T09:09:17.5279325Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:09:17.5280864Z from pkg_resources import resource_filename 2025-09-07T09:09:18.2045404Z 2025-09-07T09:09:20.1191716Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:09:20.1192115Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:09:20.1192442Z cuda train T5Small 2025-09-07T09:09:28.8415828Z 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 2025-09-07T09:09:28.8417089Z pred = mod(**cloned_inputs) 2025-09-07T09:09:28.8417737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward 2025-09-07T09:09:28.8418425Z decoder_outputs = self.decoder( 2025-09-07T09:09:28.8419083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward 2025-09-07T09:09:28.8419780Z layer_outputs = layer_module( 2025-09-07T09:09:28.8420400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:09:28.8421055Z return super().__call__(*args, **kwargs) 2025-09-07T09:09:28.8421730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward 2025-09-07T09:09:28.8422417Z self_attention_outputs = self.layer[0]( 2025-09-07T09:09:28.8423095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward 2025-09-07T09:09:28.8423788Z attention_output = self.SelfAttention( 2025-09-07T09:09:28.8424453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 539, in forward 2025-09-07T09:09:28.8425134Z position_bias = self.compute_bias( 2025-09-07T09:09:28.8426224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 463, in compute_bias 2025-09-07T09:09:28.8427212Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T09:09:28.8427716Z 2025-09-07T09:09:28.8427721Z 2025-09-07T09:09:29.5818040Z W0907 09:09:29.581000 7972 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:09:34.9767419Z pass 2025-09-07T09:09:38.4681815Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:09:38.4683222Z import pynvml # type: ignore[import] 2025-09-07T09:09:41.8184009Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:09:41.8185973Z from pkg_resources import resource_filename 2025-09-07T09:09:42.5217592Z 2025-09-07T09:09:46.8974625Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:09:46.8975008Z loading model: 0it [00:04, ?it/s] 2025-09-07T09:09:46.8975349Z cuda train TrOCRForCausalLM 2025-09-07T09:09:46.9269911Z WARNING:common:fp64 golden ref were not generated for TrOCRForCausalLM. Setting accuracy check to cosine 2025-09-07T09:09:55.7979958Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/trocr/modeling_trocr.py", line 64, in forward 2025-09-07T09:09:55.7981219Z return super().forward(position_ids + self.offset) 2025-09-07T09:09:55.7981519Z 2025-09-07T09:09:55.7981524Z 2025-09-07T09:09:55.9416470Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/trocr/modeling_trocr.py", line 78, in forward 2025-09-07T09:09:55.9417727Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:09:55.9418019Z 2025-09-07T09:09:55.9418023Z 2025-09-07T09:09:56.7033642Z pass 2025-09-07T09:10:00.2151378Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:10:00.2152786Z import pynvml # type: ignore[import] 2025-09-07T09:10:03.5786202Z /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. 2025-09-07T09:10:03.5787793Z from pkg_resources import resource_filename 2025-09-07T09:10:04.3176498Z 2025-09-07T09:10:15.0719360Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:10:15.0719751Z loading model: 0it [00:10, ?it/s] 2025-09-07T09:10:15.0720090Z cuda train XGLMForCausalLM 2025-09-07T09:10:15.1086810Z WARNING:common:fp64 golden ref were not generated for XGLMForCausalLM. Setting accuracy check to cosine 2025-09-07T09:10:20.5845426Z skipping cudagraphs due to mutated inputs (1 instances). Found from : 2025-09-07T09:10:20.5846312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xglm/modeling_xglm.py", line 94, in forward 2025-09-07T09:10:20.5847018Z position_ids += self.offset 2025-09-07T09:10:20.5847212Z 2025-09-07T09:10:24.7153858Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xglm/modeling_xglm.py", line 49, in forward 2025-09-07T09:10:24.7155144Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:10:24.7155417Z 2025-09-07T09:10:24.7155422Z 2025-09-07T09:10:27.0123198Z pass 2025-09-07T09:10:30.6148567Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:10:30.6149982Z import pynvml # type: ignore[import] 2025-09-07T09:10:33.9702706Z /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. 2025-09-07T09:10:33.9704647Z from pkg_resources import resource_filename 2025-09-07T09:10:34.6436294Z 2025-09-07T09:10:39.7287804Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:10:39.7288178Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:10:39.7288521Z cuda train XLNetLMHeadModel 2025-09-07T09:11:54.1869557Z 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 2025-09-07T09:11:54.1870904Z pred = mod(**cloned_inputs) 2025-09-07T09:11:54.1871598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 1607, in forward 2025-09-07T09:11:54.1872337Z transformer_outputs = self.transformer( 2025-09-07T09:11:54.1873092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 1368, in forward 2025-09-07T09:11:54.1873807Z outputs = layer_module( 2025-09-07T09:11:54.1874472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 494, in forward 2025-09-07T09:11:54.1875167Z outputs = self.rel_attn( 2025-09-07T09:11:54.1875834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 425, in forward 2025-09-07T09:11:54.1876539Z attn_vec = self.rel_attn_core( 2025-09-07T09:11:54.1877299Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 267, in rel_attn_core 2025-09-07T09:11:54.1878084Z bd = self.rel_shift_bnij(bd, klen=ac.shape[3]) 2025-09-07T09:11:54.1878844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 244, in rel_shift_bnij 2025-09-07T09:11:54.1879750Z x = torch.index_select(x, 3, torch.arange(klen, device=x.device, dtype=torch.long)) 2025-09-07T09:11:54.1880157Z 2025-09-07T09:11:54.1880161Z 2025-09-07T09:11:54.5621173Z W0907 09:11:54.561000 8335 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:13:04.7383210Z pass 2025-09-07T09:13:11.2380284Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:13:11.2381684Z import pynvml # type: ignore[import] 2025-09-07T09:13:14.5865870Z /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. 2025-09-07T09:13:14.5867584Z from pkg_resources import resource_filename 2025-09-07T09:13:15.2410902Z 2025-09-07T09:13:17.9734505Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:13:17.9734882Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:13:17.9735226Z cuda train YituTechConvBert 2025-09-07T09:14:03.4373491Z 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 2025-09-07T09:14:03.4374780Z pred = mod(**cloned_inputs) 2025-09-07T09:14:03.4375508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 925, in forward 2025-09-07T09:14:03.4376264Z generator_hidden_states = self.convbert( 2025-09-07T09:14:03.4377051Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 853, in forward 2025-09-07T09:14:03.4378183Z hidden_states = self.encoder( 2025-09-07T09:14:03.4378901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 625, in forward 2025-09-07T09:14:03.4379644Z layer_outputs = layer_module( 2025-09-07T09:14:03.4380266Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:14:03.4380923Z return super().__call__(*args, **kwargs) 2025-09-07T09:14:03.4381667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 561, in forward 2025-09-07T09:14:03.4382421Z self_attention_outputs = self.attention( 2025-09-07T09:14:03.4383179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 464, in forward 2025-09-07T09:14:03.4383906Z self_outputs = self.self( 2025-09-07T09:14:03.4384608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 369, in forward 2025-09-07T09:14:03.4385364Z conv_out_layer = nn.functional.unfold( 2025-09-07T09:14:03.4385592Z 2025-09-07T09:14:03.4385597Z 2025-09-07T09:14:03.8327597Z W0907 09:14:03.831000 8515 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:14:54.6227822Z pass 2025-09-07T09:14:59.4565821Z accuracy pass_rate=100.00% 2025-09-07T09:14:59.4573111Z calls_captured gmean=276.39x mean=817.200x 2025-09-07T09:14:59.4577899Z unique_graphs gmean=4.39x mean=5.300x 2025-09-07T09:14:59.4582014Z graph_breaks gmean=5.83x mean=5.900x 2025-09-07T09:14:59.4586132Z unique_graph_breaks gmean=4.47x mean=4.500x 2025-09-07T09:14:59.4590363Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:14:59.4594642Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:14:59.4598854Z cudagraph_skips gmean=0.00x mean=1.300x 2025-09-07T09:14:59.4600167Z compilation_latency mean=35.499 seconds 2025-09-07T09:15:00.5840227Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *dynamic-true* ]] 2025-09-07T09:15:00.5842886Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --dynamic-shapes --dynamic-batch-only --device cuda --total-partitions 5 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_accuracy.csv 2025-09-07T09:15:01.6207623Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:15:01.6209189Z import pynvml # type: ignore[import] 2025-09-07T09:15:05.0647219Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:15:05.0648789Z from pkg_resources import resource_filename 2025-09-07T09:15:07.4113883Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:15:07.4115302Z import pynvml # type: ignore[import] 2025-09-07T09:15:10.7663669Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:15:10.7665651Z from pkg_resources import resource_filename 2025-09-07T09:15:11.4709323Z 2025-09-07T09:15:13.6464607Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:15:13.6464997Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:15:13.6465334Z cuda train PLBartForCausalLM 2025-09-07T09:15:18.2748945Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/plbart/modeling_plbart.py", line 70, in forward 2025-09-07T09:15:18.2750193Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:15:18.2750493Z 2025-09-07T09:15:18.2750498Z 2025-09-07T09:15:18.4648298Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/plbart/modeling_plbart.py", line 298, in forward 2025-09-07T09:15:18.4649562Z return super().forward(position_ids + self.offset) 2025-09-07T09:15:18.4649847Z 2025-09-07T09:15:18.4649852Z 2025-09-07T09:15:19.6784619Z pass 2025-09-07T09:15:23.0445304Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:15:23.0446724Z import pynvml # type: ignore[import] 2025-09-07T09:15:26.3995029Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:15:26.3996614Z from pkg_resources import resource_filename 2025-09-07T09:15:27.1007631Z 2025-09-07T09:15:30.8119057Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:15:30.8119426Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:15:30.8119790Z cuda train PLBartForConditionalGeneration 2025-09-07T09:15:35.9957192Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/plbart/modeling_plbart.py", line 70, in forward 2025-09-07T09:15:35.9958549Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:15:35.9958839Z 2025-09-07T09:15:35.9958843Z 2025-09-07T09:15:36.0584813Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/plbart/modeling_plbart.py", line 298, in forward 2025-09-07T09:15:36.0586065Z return super().forward(position_ids + self.offset) 2025-09-07T09:15:36.0586347Z 2025-09-07T09:15:36.0586351Z 2025-09-07T09:15:36.7789557Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/plbart/modeling_plbart.py", line 298, in forward 2025-09-07T09:15:36.7790822Z return super().forward(position_ids + self.offset) 2025-09-07T09:15:36.7791091Z 2025-09-07T09:15:36.7791096Z 2025-09-07T09:15:38.7111588Z pass 2025-09-07T09:15:42.1882186Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:15:42.1883599Z import pynvml # type: ignore[import] 2025-09-07T09:15:45.5434038Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:15:45.5435600Z from pkg_resources import resource_filename 2025-09-07T09:15:46.2062471Z 2025-09-07T09:15:52.1828968Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:15:52.1829349Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:15:52.1829689Z cuda train PegasusForCausalLM 2025-09-07T09:15:58.4631782Z pass 2025-09-07T09:16:01.9372120Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:16:01.9373743Z import pynvml # type: ignore[import] 2025-09-07T09:16:05.2943676Z /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. 2025-09-07T09:16:05.2945260Z from pkg_resources import resource_filename 2025-09-07T09:16:05.9590592Z 2025-09-07T09:16:15.3805834Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:16:15.3806225Z loading model: 0it [00:09, ?it/s] 2025-09-07T09:16:15.3806587Z cuda train PegasusForConditionalGeneration 2025-09-07T09:16:25.6245236Z pass 2025-09-07T09:16:29.0864388Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:16:29.0865824Z import pynvml # type: ignore[import] 2025-09-07T09:16:32.4448885Z /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. 2025-09-07T09:16:32.4450467Z from pkg_resources import resource_filename 2025-09-07T09:16:33.1251621Z 2025-09-07T09:16:33.1402777Z loading model: 0it [00:00, ?it/s]If you want to use `RobertaLMHeadModel` as a standalone, add `is_decoder=True.` 2025-09-07T09:16:33.1403769Z WARNING:transformers.models.roberta.modeling_roberta:If you want to use `RobertaLMHeadModel` as a standalone, add `is_decoder=True.` 2025-09-07T09:16:35.5220160Z We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T09:16:35.5221695Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T09:16:35.5223293Z WARNING:transformers.modeling_utils:We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T09:16:35.5224900Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T09:16:35.8850972Z 2025-09-07T09:16:35.8851315Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:16:35.8851715Z cuda train RobertaForCausalLM 2025-09-07T09:16:43.9794343Z 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 2025-09-07T09:16:43.9796085Z pred = mod(**cloned_inputs) 2025-09-07T09:16:43.9796799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 999, in forward 2025-09-07T09:16:43.9797631Z outputs = self.roberta( 2025-09-07T09:16:43.9798305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 826, in forward 2025-09-07T09:16:43.9799045Z embedding_output = self.embeddings( 2025-09-07T09:16:43.9799771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 117, in forward 2025-09-07T09:16:43.9800598Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T09:16:43.9800910Z 2025-09-07T09:16:43.9800915Z 2025-09-07T09:16:44.7265618Z W0907 09:16:44.725000 9030 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:16:51.8989873Z Run failed with return code: -11 2025-09-07T09:16:51.8990258Z Output: None 2025-09-07T09:16:51.8990475Z Error: None 2025-09-07T09:16:52.9824504Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:16:52.9825912Z import pynvml # type: ignore[import] 2025-09-07T09:16:56.3390811Z /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. 2025-09-07T09:16:56.3392394Z from pkg_resources import resource_filename 2025-09-07T09:16:57.0190040Z 2025-09-07T09:16:58.9869648Z loading model: 0it [00:00, ?it/s]We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T09:16:58.9871256Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T09:16:58.9872860Z WARNING:transformers.modeling_utils:We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T09:16:58.9874896Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T09:16:59.3910883Z 2025-09-07T09:16:59.3911261Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:16:59.3911681Z cuda train RobertaForQuestionAnswering 2025-09-07T09:17:07.4293921Z 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 2025-09-07T09:17:07.4295182Z pred = mod(**cloned_inputs) 2025-09-07T09:17:07.4295901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 1516, in forward 2025-09-07T09:17:07.4296633Z outputs = self.roberta( 2025-09-07T09:17:07.4297346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 826, in forward 2025-09-07T09:17:07.4298074Z embedding_output = self.embeddings( 2025-09-07T09:17:07.4298796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 117, in forward 2025-09-07T09:17:07.4300019Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T09:17:07.4300333Z 2025-09-07T09:17:07.4300351Z 2025-09-07T09:17:08.1872604Z W0907 09:17:08.186000 9115 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:17:15.2419708Z Run failed with return code: -11 2025-09-07T09:17:15.2420077Z Output: None 2025-09-07T09:17:15.2420310Z Error: None 2025-09-07T09:17:16.3308639Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:17:16.3310050Z import pynvml # type: ignore[import] 2025-09-07T09:17:19.6946376Z /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. 2025-09-07T09:17:19.6947975Z from pkg_resources import resource_filename 2025-09-07T09:17:20.3881022Z 2025-09-07T09:17:22.2493937Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:17:22.2494311Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:17:22.2494645Z cuda train T5ForConditionalGeneration 2025-09-07T09:17:30.9788974Z 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 2025-09-07T09:17:30.9790262Z pred = mod(**cloned_inputs) 2025-09-07T09:17:30.9790927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward 2025-09-07T09:17:30.9791622Z decoder_outputs = self.decoder( 2025-09-07T09:17:30.9792292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward 2025-09-07T09:17:30.9792967Z layer_outputs = layer_module( 2025-09-07T09:17:30.9793592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:17:30.9794245Z return super().__call__(*args, **kwargs) 2025-09-07T09:17:30.9794910Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward 2025-09-07T09:17:30.9795598Z self_attention_outputs = self.layer[0]( 2025-09-07T09:17:30.9796679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward 2025-09-07T09:17:30.9797474Z attention_output = self.SelfAttention( 2025-09-07T09:17:30.9798169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 539, in forward 2025-09-07T09:17:30.9798838Z position_bias = self.compute_bias( 2025-09-07T09:17:30.9799536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 463, in compute_bias 2025-09-07T09:17:30.9800515Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T09:17:30.9801017Z 2025-09-07T09:17:30.9801022Z 2025-09-07T09:17:31.7228616Z W0907 09:17:31.722000 9200 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:17:37.1313192Z pass 2025-09-07T09:17:40.6733092Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:17:40.6734939Z import pynvml # type: ignore[import] 2025-09-07T09:17:44.0323183Z /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. 2025-09-07T09:17:44.0324762Z from pkg_resources import resource_filename 2025-09-07T09:17:44.6906501Z 2025-09-07T09:17:46.5902752Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:17:46.5903137Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:17:46.5903454Z cuda train T5Small 2025-09-07T09:17:55.3195555Z 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 2025-09-07T09:17:55.3196838Z pred = mod(**cloned_inputs) 2025-09-07T09:17:55.3197569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward 2025-09-07T09:17:55.3198265Z decoder_outputs = self.decoder( 2025-09-07T09:17:55.3198935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward 2025-09-07T09:17:55.3199618Z layer_outputs = layer_module( 2025-09-07T09:17:55.3200237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:17:55.3200882Z return super().__call__(*args, **kwargs) 2025-09-07T09:17:55.3201565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward 2025-09-07T09:17:55.3202263Z self_attention_outputs = self.layer[0]( 2025-09-07T09:17:55.3202947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward 2025-09-07T09:17:55.3203621Z attention_output = self.SelfAttention( 2025-09-07T09:17:55.3204300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 539, in forward 2025-09-07T09:17:55.3204981Z position_bias = self.compute_bias( 2025-09-07T09:17:55.3205672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 463, in compute_bias 2025-09-07T09:17:55.3206653Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T09:17:55.3207154Z 2025-09-07T09:17:55.3207159Z 2025-09-07T09:17:56.0615105Z W0907 09:17:56.060000 9288 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:18:01.4782123Z pass 2025-09-07T09:18:05.0156462Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:18:05.0157914Z import pynvml # type: ignore[import] 2025-09-07T09:18:08.3735415Z /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. 2025-09-07T09:18:08.3736974Z from pkg_resources import resource_filename 2025-09-07T09:18:09.0538552Z 2025-09-07T09:18:13.4292096Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:18:13.4292486Z loading model: 0it [00:04, ?it/s] 2025-09-07T09:18:13.4293036Z cuda train TrOCRForCausalLM 2025-09-07T09:18:13.4588781Z WARNING:common:fp64 golden ref were not generated for TrOCRForCausalLM. Setting accuracy check to cosine 2025-09-07T09:18:18.0291061Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/trocr/modeling_trocr.py", line 78, in forward 2025-09-07T09:18:18.0292280Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:18:18.0292568Z 2025-09-07T09:18:18.0292573Z 2025-09-07T09:18:18.1092074Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/trocr/modeling_trocr.py", line 64, in forward 2025-09-07T09:18:18.1093423Z return super().forward(position_ids + self.offset) 2025-09-07T09:18:18.1093704Z 2025-09-07T09:18:18.1093708Z 2025-09-07T09:18:19.7073767Z pass 2025-09-07T09:18:23.1063883Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:18:23.1065293Z import pynvml # type: ignore[import] 2025-09-07T09:18:26.4715362Z /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. 2025-09-07T09:18:26.4717003Z from pkg_resources import resource_filename 2025-09-07T09:18:27.1897222Z 2025-09-07T09:18:37.8956824Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:18:37.8957211Z loading model: 0it [00:10, ?it/s] 2025-09-07T09:18:37.8957643Z cuda train XGLMForCausalLM 2025-09-07T09:18:37.9329455Z WARNING:common:fp64 golden ref were not generated for XGLMForCausalLM. Setting accuracy check to cosine 2025-09-07T09:18:42.8606612Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xglm/modeling_xglm.py", line 49, in forward 2025-09-07T09:18:42.8607859Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:18:42.8608145Z 2025-09-07T09:18:42.8608150Z 2025-09-07T09:18:43.0311275Z skipping cudagraphs due to mutated inputs (1 instances). Found from : 2025-09-07T09:18:43.0312140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xglm/modeling_xglm.py", line 94, in forward 2025-09-07T09:18:43.0312848Z position_ids += self.offset 2025-09-07T09:18:46.2150167Z 2025-09-07T09:18:46.2155989Z pass 2025-09-07T09:18:49.5985407Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:18:49.5986867Z import pynvml # type: ignore[import] 2025-09-07T09:18:52.9598150Z /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. 2025-09-07T09:18:52.9599790Z from pkg_resources import resource_filename 2025-09-07T09:18:53.8121719Z 2025-09-07T09:18:58.9020091Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:18:58.9020479Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:18:58.9020839Z cuda train XLNetLMHeadModel 2025-09-07T09:19:11.5224832Z 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 2025-09-07T09:19:11.5226515Z pred = mod(**cloned_inputs) 2025-09-07T09:19:11.5227225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 1607, in forward 2025-09-07T09:19:11.5227969Z transformer_outputs = self.transformer( 2025-09-07T09:19:11.5228695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 1368, in forward 2025-09-07T09:19:11.5229401Z outputs = layer_module( 2025-09-07T09:19:11.5230052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 494, in forward 2025-09-07T09:19:11.5230769Z outputs = self.rel_attn( 2025-09-07T09:19:11.5231437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 425, in forward 2025-09-07T09:19:11.5232147Z attn_vec = self.rel_attn_core( 2025-09-07T09:19:11.5232848Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 267, in rel_attn_core 2025-09-07T09:19:11.5233615Z bd = self.rel_shift_bnij(bd, klen=ac.shape[3]) 2025-09-07T09:19:11.5234376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 244, in rel_shift_bnij 2025-09-07T09:19:11.5235270Z x = torch.index_select(x, 3, torch.arange(klen, device=x.device, dtype=torch.long)) 2025-09-07T09:19:11.5235658Z 2025-09-07T09:19:11.5235662Z 2025-09-07T09:19:12.3712542Z W0907 09:19:12.370000 9552 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:19:27.3145734Z pass 2025-09-07T09:19:31.0619348Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:19:31.0620791Z import pynvml # type: ignore[import] 2025-09-07T09:19:34.4159253Z /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. 2025-09-07T09:19:34.4160805Z from pkg_resources import resource_filename 2025-09-07T09:19:35.2339464Z 2025-09-07T09:19:37.9435685Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:19:37.9436052Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:19:37.9436884Z cuda train YituTechConvBert 2025-09-07T09:19:47.8134281Z 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 2025-09-07T09:19:47.8135554Z pred = mod(**cloned_inputs) 2025-09-07T09:19:47.8136285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 925, in forward 2025-09-07T09:19:47.8137051Z generator_hidden_states = self.convbert( 2025-09-07T09:19:47.8137804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 853, in forward 2025-09-07T09:19:47.8138547Z hidden_states = self.encoder( 2025-09-07T09:19:47.8139249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 625, in forward 2025-09-07T09:19:47.8139999Z layer_outputs = layer_module( 2025-09-07T09:19:47.8140614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:19:47.8141608Z return super().__call__(*args, **kwargs) 2025-09-07T09:19:47.8142338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 561, in forward 2025-09-07T09:19:47.8143099Z self_attention_outputs = self.attention( 2025-09-07T09:19:47.8143852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 464, in forward 2025-09-07T09:19:47.8144597Z self_outputs = self.self( 2025-09-07T09:19:47.8145305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 369, in forward 2025-09-07T09:19:47.8146048Z conv_out_layer = nn.functional.unfold( 2025-09-07T09:19:47.8146291Z 2025-09-07T09:19:47.8146296Z 2025-09-07T09:19:48.8350579Z W0907 09:19:48.834000 9640 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:19:59.8431640Z pass 2025-09-07T09:20:02.4898307Z accuracy pass_rate=100.00% 2025-09-07T09:20:02.4905473Z calls_captured gmean=276.39x mean=817.200x 2025-09-07T09:20:02.4909722Z unique_graphs gmean=4.39x mean=5.300x 2025-09-07T09:20:02.4914001Z graph_breaks gmean=5.83x mean=5.900x 2025-09-07T09:20:02.4918196Z unique_graph_breaks gmean=4.47x mean=4.500x 2025-09-07T09:20:02.4922298Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:20:02.4926347Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:20:02.4930494Z cudagraph_skips gmean=0.00x mean=1.300x 2025-09-07T09:20:02.4931808Z compilation_latency mean=9.915 seconds 2025-09-07T09:20:03.6199634Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *cppwrapper-true* ]] 2025-09-07T09:20:03.6201110Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T09:20:03.6202610Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_accuracy.csv 2025-09-07T09:20:04.6615594Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:20:04.6616996Z import pynvml # type: ignore[import] 2025-09-07T09:20:08.1018134Z /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. 2025-09-07T09:20:08.1019727Z from pkg_resources import resource_filename 2025-09-07T09:20:10.1921763Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:20:10.1923178Z import pynvml # type: ignore[import] 2025-09-07T09:20:13.5500178Z /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. 2025-09-07T09:20:13.5501755Z from pkg_resources import resource_filename 2025-09-07T09:20:14.2456451Z 2025-09-07T09:20:16.4249507Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:20:16.4249886Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:20:16.4250216Z cuda train PLBartForCausalLM 2025-09-07T09:20:45.7653469Z pass 2025-09-07T09:20:49.2122265Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:20:49.2123772Z import pynvml # type: ignore[import] 2025-09-07T09:20:52.5688978Z /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. 2025-09-07T09:20:52.5690540Z from pkg_resources import resource_filename 2025-09-07T09:20:53.2425157Z 2025-09-07T09:20:56.9206026Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:20:56.9206413Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:20:56.9206756Z cuda train PLBartForConditionalGeneration 2025-09-07T09:21:26.2419406Z pass 2025-09-07T09:21:29.9259906Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:21:29.9261324Z import pynvml # type: ignore[import] 2025-09-07T09:21:33.2758215Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:21:33.2759870Z from pkg_resources import resource_filename 2025-09-07T09:21:33.9723433Z 2025-09-07T09:21:39.8496120Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:21:39.8496497Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:21:39.8496827Z cuda train PegasusForCausalLM 2025-09-07T09:22:00.2960672Z pass 2025-09-07T09:22:03.8363856Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:22:03.8365268Z import pynvml # type: ignore[import] 2025-09-07T09:22:07.1986505Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:22:07.1988111Z from pkg_resources import resource_filename 2025-09-07T09:22:07.9183938Z 2025-09-07T09:22:17.6345083Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:22:17.6345475Z loading model: 0it [00:09, ?it/s] 2025-09-07T09:22:17.6345845Z cuda train PegasusForConditionalGeneration 2025-09-07T09:22:44.2489856Z pass 2025-09-07T09:22:47.9014790Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:22:47.9016193Z import pynvml # type: ignore[import] 2025-09-07T09:22:51.2571022Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:22:51.2573177Z from pkg_resources import resource_filename 2025-09-07T09:22:52.0343197Z 2025-09-07T09:22:52.0494886Z loading model: 0it [00:00, ?it/s]If you want to use `RobertaLMHeadModel` as a standalone, add `is_decoder=True.` 2025-09-07T09:22:52.0495885Z WARNING:transformers.models.roberta.modeling_roberta:If you want to use `RobertaLMHeadModel` as a standalone, add `is_decoder=True.` 2025-09-07T09:22:54.4279856Z We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T09:22:54.4281377Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T09:22:54.4282976Z WARNING:transformers.modeling_utils:We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T09:22:54.4284596Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T09:22:54.7920558Z 2025-09-07T09:22:54.7920878Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:22:54.7922745Z cuda train RobertaForCausalLM 2025-09-07T09:23:53.8208839Z W0907 09:23:53.819000 11722 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:24:43.9342207Z pass 2025-09-07T09:24:49.8234484Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:24:49.8236068Z import pynvml # type: ignore[import] 2025-09-07T09:24:53.1799352Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:24:53.1801006Z from pkg_resources import resource_filename 2025-09-07T09:24:53.8400545Z 2025-09-07T09:24:55.8097661Z loading model: 0it [00:00, ?it/s]We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T09:24:55.8099912Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T09:24:55.8101621Z WARNING:transformers.modeling_utils:We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T09:24:55.8103307Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T09:24:56.2312571Z 2025-09-07T09:24:56.2312957Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:24:56.2313464Z cuda train RobertaForQuestionAnswering 2025-09-07T09:25:52.0757213Z W0907 09:25:52.074000 12450 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:26:39.9459788Z pass 2025-09-07T09:26:45.7321988Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:26:45.7324790Z import pynvml # type: ignore[import] 2025-09-07T09:26:49.0876727Z /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. 2025-09-07T09:26:49.0878468Z from pkg_resources import resource_filename 2025-09-07T09:26:49.7595292Z 2025-09-07T09:26:51.6350891Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:26:51.6351376Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:26:51.6351826Z cuda train T5ForConditionalGeneration 2025-09-07T09:28:00.7738307Z W0907 09:28:00.772000 12838 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:28:30.7630047Z pass 2025-09-07T09:28:36.1909493Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:28:36.1911008Z import pynvml # type: ignore[import] 2025-09-07T09:28:39.5542379Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:28:39.5544055Z from pkg_resources import resource_filename 2025-09-07T09:28:40.2952357Z 2025-09-07T09:28:42.1957499Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:28:42.1957968Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:28:42.1958383Z cuda train T5Small 2025-09-07T09:28:55.5057586Z W0907 09:28:55.505000 13185 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:29:00.4446547Z pass 2025-09-07T09:29:03.9427400Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:29:03.9428909Z import pynvml # type: ignore[import] 2025-09-07T09:29:07.3078326Z /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. 2025-09-07T09:29:07.3080162Z from pkg_resources import resource_filename 2025-09-07T09:29:07.9891618Z 2025-09-07T09:29:12.3665807Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:29:12.3666279Z loading model: 0it [00:04, ?it/s] 2025-09-07T09:29:12.3666698Z cuda train TrOCRForCausalLM 2025-09-07T09:29:12.3963830Z WARNING:common:fp64 golden ref were not generated for TrOCRForCausalLM. Setting accuracy check to cosine 2025-09-07T09:29:35.7192312Z pass 2025-09-07T09:29:39.3080166Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:29:39.3081689Z import pynvml # type: ignore[import] 2025-09-07T09:29:42.6601407Z /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. 2025-09-07T09:29:42.6603469Z from pkg_resources import resource_filename 2025-09-07T09:29:43.3372026Z 2025-09-07T09:29:54.0841426Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:29:54.0841895Z loading model: 0it [00:10, ?it/s] 2025-09-07T09:29:54.0842273Z cuda train XGLMForCausalLM 2025-09-07T09:29:54.1208473Z WARNING:common:fp64 golden ref were not generated for XGLMForCausalLM. Setting accuracy check to cosine 2025-09-07T09:30:17.2351786Z pass 2025-09-07T09:30:20.8708798Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:30:20.8710317Z import pynvml # type: ignore[import] 2025-09-07T09:30:24.2305628Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:30:24.2307362Z from pkg_resources import resource_filename 2025-09-07T09:30:24.9790584Z 2025-09-07T09:30:30.0792318Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:30:30.0792791Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:30:30.0793215Z cuda train XLNetLMHeadModel 2025-09-07T09:31:11.4509601Z W0907 09:31:11.450000 14157 site-packages/torch/_inductor/utils.py:2298] [2/0_1] DeviceCopy in input program 2025-09-07T09:33:03.3541716Z W0907 09:33:03.353000 14157 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:34:53.9005372Z pass 2025-09-07T09:35:02.3876297Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:35:02.3877920Z import pynvml # type: ignore[import] 2025-09-07T09:35:05.7462713Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:35:05.7464813Z from pkg_resources import resource_filename 2025-09-07T09:35:06.4269303Z 2025-09-07T09:35:09.1494372Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:35:09.1494873Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:35:09.1495250Z cuda train YituTechConvBert 2025-09-07T09:36:53.4115149Z W0907 09:36:53.410000 14524 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:38:11.6515508Z pass 2025-09-07T09:38:18.0348884Z accuracy pass_rate=100.00% 2025-09-07T09:38:18.0356254Z calls_captured gmean=358.94x mean=902.000x 2025-09-07T09:38:18.0360731Z unique_graphs gmean=3.85x mean=4.750x 2025-09-07T09:38:18.0364785Z graph_breaks gmean=5.68x mean=5.750x 2025-09-07T09:38:18.0368906Z unique_graph_breaks gmean=4.39x mean=4.417x 2025-09-07T09:38:18.0373355Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:38:18.0377664Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:38:18.0381581Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:38:18.0383042Z compilation_latency mean=75.925 seconds 2025-09-07T09:38:19.1935725Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freezing_cudagraphs-true* ]] 2025-09-07T09:38:19.1937263Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:38:19.1938810Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freeze_autotune_cudagraphs-true* ]] 2025-09-07T09:38:19.1940346Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:38:19.1941841Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *aotinductor-true* ]] 2025-09-07T09:38:19.1943309Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:38:19.1944781Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *maxautotune-true* ]] 2025-09-07T09:38:19.1946213Z + TORCHINDUCTOR_MAX_AUTOTUNE=1 2025-09-07T09:38:19.1947725Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 5 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_accuracy.csv 2025-09-07T09:38:20.2258543Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:38:20.2260043Z import pynvml # type: ignore[import] 2025-09-07T09:38:23.6722673Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:38:23.6724348Z from pkg_resources import resource_filename 2025-09-07T09:38:25.7919027Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:38:25.7920520Z import pynvml # type: ignore[import] 2025-09-07T09:38:29.1490274Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:38:29.1491976Z from pkg_resources import resource_filename 2025-09-07T09:38:29.8326894Z 2025-09-07T09:38:32.0200109Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:38:32.0200593Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:38:32.0201016Z cuda train PLBartForCausalLM 2025-09-07T09:38:41.5261065Z Autotune Choices Stats: 2025-09-07T09:38:41.5262701Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.03174399957060814, "best_triton_pos": 1, "best_triton_time": 0.03379200026392937, "best_triton_kernel": "triton_mm_88", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:38:41.5267707Z AUTOTUNE addmm(1024x3072, 1024x768, 768x3072) 2025-09-07T09:38:41.5268490Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T09:38:41.5268925Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:38:41.5269380Z bias_addmm 0.0317 ms 100.0% 2025-09-07T09:38:41.5270167Z triton_mm_88 0.0338 ms 93.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:41.5271446Z triton_mm_87 0.0358 ms 88.6% 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 2025-09-07T09:38:41.5272708Z triton_mm_83 0.0379 ms 83.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:41.5273969Z triton_mm_89 0.0379 ms 83.8% 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 2025-09-07T09:38:41.5275232Z triton_mm_81 0.0389 ms 81.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:41.5276047Z addmm 0.0430 ms 73.8% 2025-09-07T09:38:41.5276787Z triton_mm_82 0.0430 ms 73.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:38:41.5278144Z triton_mm_84 0.0430 ms 73.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:41.5279416Z triton_mm_85 0.0440 ms 72.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:38:41.5280524Z SingleProcess AUTOTUNE benchmarking takes 0.3787 seconds and 1.1444 seconds precompiling for 20 choices 2025-09-07T09:38:43.7862756Z Autotune Choices Stats: 2025-09-07T09:38:43.7864079Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_11", "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": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T09:38:43.7869352Z AUTOTUNE mm(1024x768, 768x768) 2025-09-07T09:38:43.7869769Z strides: [768, 1], [1, 768] 2025-09-07T09:38:43.7870099Z dtypes: torch.float16, torch.float16 2025-09-07T09:38:43.7870961Z triton_mm_11 0.0164 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 2025-09-07T09:38:43.7871797Z mm 0.0174 ms 94.1% 2025-09-07T09:38:43.7872829Z triton_mm_7 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:38:43.7874133Z triton_mm_10 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:38:43.7875560Z triton_mm_13 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:38:43.7876834Z triton_mm_17 0.0195 ms 84.2% 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 2025-09-07T09:38:43.7878156Z triton_mm_8 0.0205 ms 80.0% 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 2025-09-07T09:38:43.7879384Z triton_mm_9 0.0205 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 2025-09-07T09:38:43.7880818Z triton_mm_12 0.0205 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=3, num_warps=4 2025-09-07T09:38:43.7882094Z triton_mm_16 0.0215 ms 76.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:43.7883212Z SingleProcess AUTOTUNE benchmarking takes 0.2627 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:38:44.3427850Z Autotune Choices Stats: 2025-09-07T09:38:44.3429422Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.01740800030529499, "best_triton_pos": 1, "best_triton_time": 0.01740800030529499, "best_triton_kernel": "triton_mm_65", "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"} 2025-09-07T09:38:44.3435683Z AUTOTUNE addmm(1024x768, 1024x768, 768x768) 2025-09-07T09:38:44.3436161Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T09:38:44.3436603Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:38:44.3437066Z bias_addmm 0.0174 ms 100.0% 2025-09-07T09:38:44.3437968Z triton_mm_65 0.0174 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 2025-09-07T09:38:44.3439250Z triton_mm_61 0.0184 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:38:44.3440534Z triton_mm_64 0.0184 ms 94.4% 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 2025-09-07T09:38:44.3441807Z triton_mm_67 0.0184 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:38:44.3443085Z triton_mm_62 0.0205 ms 85.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:38:44.3444356Z triton_mm_71 0.0205 ms 85.0% 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 2025-09-07T09:38:44.3445627Z triton_mm_63 0.0215 ms 81.0% 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 2025-09-07T09:38:44.3447135Z triton_mm_66 0.0215 ms 81.0% 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 2025-09-07T09:38:44.3447986Z addmm 0.0225 ms 77.3% 2025-09-07T09:38:44.3448622Z SingleProcess AUTOTUNE benchmarking takes 0.5554 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:38:44.7301682Z Autotune Choices Stats: 2025-09-07T09:38:44.7303253Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.03481600061058998, "best_triton_pos": 2, "best_triton_time": 0.043007999658584595, "best_triton_kernel": "triton_mm_101", "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"} 2025-09-07T09:38:44.7309312Z AUTOTUNE addmm(1024x768, 1024x3072, 3072x768) 2025-09-07T09:38:44.7309713Z strides: [0, 1], [3072, 1], [1, 3072] 2025-09-07T09:38:44.7310162Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:38:44.7310633Z bias_addmm 0.0348 ms 100.0% 2025-09-07T09:38:44.7310997Z addmm 0.0410 ms 85.0% 2025-09-07T09:38:44.7311758Z triton_mm_101 0.0430 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:44.7313350Z triton_mm_98 0.0451 ms 77.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:38:44.7314617Z triton_mm_97 0.0471 ms 73.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:38:44.7315884Z triton_mm_100 0.0471 ms 73.9% 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 2025-09-07T09:38:44.7317250Z triton_mm_103 0.0481 ms 72.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:38:44.7318550Z triton_mm_106 0.0604 ms 57.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:44.7319824Z triton_mm_102 0.0635 ms 54.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:44.7321043Z triton_mm_99 0.0645 ms 54.0% 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 2025-09-07T09:38:44.7322149Z SingleProcess AUTOTUNE benchmarking takes 0.3865 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:38:48.4782192Z Autotune Choices Stats: 2025-09-07T09:38:48.4783801Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.3307519853115082, "best_triton_pos": 1, "best_triton_time": 0.4259839951992035, "best_triton_kernel": "triton_mm_124", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:38:48.4789673Z AUTOTUNE mm(1024x768, 768x50008) 2025-09-07T09:38:48.4790122Z strides: [768, 1], [50048, 1] 2025-09-07T09:38:48.4790529Z dtypes: torch.float16, torch.float16 2025-09-07T09:38:48.4790925Z mm 0.3308 ms 100.0% 2025-09-07T09:38:48.4791690Z triton_mm_124 0.4260 ms 77.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:48.4792983Z triton_mm_123 0.4495 ms 73.6% 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 2025-09-07T09:38:48.4794549Z triton_mm_117 0.4536 ms 72.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:48.4795841Z triton_mm_119 0.4946 ms 66.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:48.4797202Z triton_mm_120 0.5069 ms 65.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:48.4798511Z triton_mm_125 0.5151 ms 64.2% 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 2025-09-07T09:38:48.4799785Z triton_mm_118 0.5765 ms 57.4% 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 2025-09-07T09:38:48.4801019Z triton_mm_122 0.6062 ms 54.6% 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 2025-09-07T09:38:48.4802635Z triton_mm_121 0.6195 ms 53.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:38:48.4803748Z SingleProcess AUTOTUNE benchmarking takes 0.7112 seconds and 1.2277 seconds precompiling for 19 choices 2025-09-07T09:38:51.3531869Z Autotune Choices Stats: 2025-09-07T09:38:51.3533644Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.3123199939727783, "best_triton_pos": 1, "best_triton_time": 0.5734400153160095, "best_triton_kernel": "triton_mm_142", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:38:51.3541218Z AUTOTUNE mm(50005x1024, 1024x768) 2025-09-07T09:38:51.3541664Z strides: [1, 50048], [768, 1] 2025-09-07T09:38:51.3542035Z dtypes: torch.float16, torch.float16 2025-09-07T09:38:51.3542432Z mm 0.3123 ms 100.0% 2025-09-07T09:38:51.3543256Z triton_mm_142 0.5734 ms 54.5% 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 2025-09-07T09:38:51.3544549Z triton_mm_140 0.6513 ms 48.0% 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 2025-09-07T09:38:51.3545824Z triton_mm_135 0.6574 ms 47.5% 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 2025-09-07T09:38:51.3547062Z triton_mm_141 0.6605 ms 47.3% 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 2025-09-07T09:38:51.3548332Z triton_mm_137 0.6984 ms 44.7% 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 2025-09-07T09:38:51.3549614Z triton_mm_143 0.7762 ms 40.2% 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 2025-09-07T09:38:51.3550889Z triton_mm_138 0.8428 ms 37.1% 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 2025-09-07T09:38:51.3552162Z triton_mm_132 0.8468 ms 36.9% 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 2025-09-07T09:38:51.3553702Z triton_mm_136 0.8704 ms 35.9% 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 2025-09-07T09:38:51.3554831Z SingleProcess AUTOTUNE benchmarking takes 0.7318 seconds and 0.3381 seconds precompiling for 19 choices 2025-09-07T09:38:53.8936039Z Autotune Choices Stats: 2025-09-07T09:38:53.8937599Z {"num_choices": 28, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.3092480003833771, "best_triton_pos": 2, "best_triton_time": 0.5539839863777161, "best_triton_kernel": "triton_mm_155", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:38:53.8957814Z AUTOTUNE mm(1024x50008, 50008x768) 2025-09-07T09:38:53.8958237Z strides: [50048, 1], [768, 1] 2025-09-07T09:38:53.8958623Z dtypes: torch.float16, torch.float16 2025-09-07T09:38:53.8959010Z mm 0.3092 ms 100.0% 2025-09-07T09:38:53.8959356Z decompose_k_mm_7_split_2 0.4065 ms 76.1% k_split=7 2025-09-07T09:38:53.8960282Z triton_mm_155 0.5540 ms 55.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:53.8961906Z triton_mm_151 0.6011 ms 51.4% 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 2025-09-07T09:38:53.8963191Z triton_mm_154 0.6410 ms 48.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:38:53.8964470Z triton_mm_157 0.6769 ms 45.7% 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 2025-09-07T09:38:53.8965752Z triton_mm_152 0.6892 ms 44.9% 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 2025-09-07T09:38:53.8967028Z triton_mm_160 0.8335 ms 37.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:53.8968284Z triton_mm_161 0.8397 ms 36.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:38:53.8969566Z triton_mm_153 0.8714 ms 35.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:53.8970672Z SingleProcess AUTOTUNE benchmarking takes 2.2767 seconds and 0.0002 seconds precompiling for 28 choices 2025-09-07T09:38:56.9088431Z Autotune Choices Stats: 2025-09-07T09:38:56.9090434Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.030719999223947525, "best_triton_pos": 1, "best_triton_time": 0.03174399957060814, "best_triton_kernel": "triton_mm_178", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:38:56.9173948Z AUTOTUNE mm(1024x768, 768x3072) 2025-09-07T09:38:56.9174434Z strides: [768, 1], [3072, 1] 2025-09-07T09:38:56.9174823Z dtypes: torch.float16, torch.float16 2025-09-07T09:38:56.9175219Z mm 0.0307 ms 100.0% 2025-09-07T09:38:56.9176039Z triton_mm_178 0.0317 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:56.9177292Z triton_mm_171 0.0338 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 2025-09-07T09:38:56.9179004Z triton_mm_177 0.0338 ms 90.9% 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 2025-09-07T09:38:56.9180289Z triton_mm_173 0.0348 ms 88.2% 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 2025-09-07T09:38:56.9181577Z triton_mm_174 0.0358 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 2025-09-07T09:38:56.9182844Z triton_mm_179 0.0358 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:38:56.9184113Z triton_mm_172 0.0399 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 2025-09-07T09:38:56.9185390Z triton_mm_176 0.0410 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 2025-09-07T09:38:56.9186796Z triton_mm_175 0.0420 ms 73.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:38:56.9187926Z SingleProcess AUTOTUNE benchmarking takes 0.3334 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T09:38:57.7368335Z Autotune Choices Stats: 2025-09-07T09:38:57.7369599Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_191", "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": 0.03379200026392937, "best_triton_pos": 0} 2025-09-07T09:38:57.7380846Z AUTOTUNE mm(768x1024, 1024x3072) 2025-09-07T09:38:57.7381564Z strides: [1, 768], [3072, 1] 2025-09-07T09:38:57.7381979Z dtypes: torch.float16, torch.float16 2025-09-07T09:38:57.7382840Z triton_mm_191 0.0338 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 2025-09-07T09:38:57.7383662Z mm 0.0348 ms 97.1% 2025-09-07T09:38:57.7384444Z triton_mm_189 0.0348 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:57.7385712Z triton_mm_192 0.0369 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 2025-09-07T09:38:57.7386976Z triton_mm_190 0.0389 ms 86.8% 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 2025-09-07T09:38:57.7388243Z triton_mm_193 0.0389 ms 86.8% 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 2025-09-07T09:38:57.7389616Z triton_mm_196 0.0399 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:57.7409329Z triton_mm_195 0.0420 ms 80.5% 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 2025-09-07T09:38:57.7410798Z triton_mm_197 0.0420 ms 80.5% 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 2025-09-07T09:38:57.7656154Z triton_mm_187 0.0461 ms 73.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:38:57.7657995Z SingleProcess AUTOTUNE benchmarking takes 0.3501 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:38:58.3423343Z Autotune Choices Stats: 2025-09-07T09:38:58.3424867Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_227", "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": 0.03481600061058998, "best_triton_pos": 0} 2025-09-07T09:38:58.3436293Z AUTOTUNE mm(3072x1024, 1024x768) 2025-09-07T09:38:58.3436716Z strides: [1, 3072], [768, 1] 2025-09-07T09:38:58.3437167Z dtypes: torch.float16, torch.float16 2025-09-07T09:38:58.3438016Z triton_mm_227 0.0348 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 2025-09-07T09:38:58.3438873Z mm 0.0358 ms 97.1% 2025-09-07T09:38:58.3439693Z triton_mm_225 0.0358 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:58.3440965Z triton_mm_228 0.0369 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:58.3442592Z triton_mm_226 0.0389 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:38:58.3443878Z triton_mm_229 0.0389 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:38:58.3445116Z triton_mm_232 0.0399 ms 87.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:58.3446406Z triton_mm_231 0.0410 ms 85.0% 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 2025-09-07T09:38:58.3447860Z triton_mm_233 0.0420 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:38:58.3449142Z triton_mm_223 0.0461 ms 75.6% 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 2025-09-07T09:38:58.3450259Z SingleProcess AUTOTUNE benchmarking takes 0.3623 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:38:59.0570864Z Autotune Choices Stats: 2025-09-07T09:38:59.0572203Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_353", "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": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T09:38:59.0582765Z AUTOTUNE mm(1024x768, 768x768) 2025-09-07T09:38:59.0583152Z strides: [768, 1], [768, 1] 2025-09-07T09:38:59.0583513Z dtypes: torch.float16, torch.float16 2025-09-07T09:38:59.0584370Z triton_mm_353 0.0164 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 2025-09-07T09:38:59.0585204Z mm 0.0174 ms 94.1% 2025-09-07T09:38:59.0585993Z triton_mm_352 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:38:59.0587279Z triton_mm_355 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:38:59.0588838Z triton_mm_349 0.0184 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 2025-09-07T09:38:59.0590117Z triton_mm_350 0.0205 ms 80.0% 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 2025-09-07T09:38:59.0591354Z triton_mm_351 0.0205 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 2025-09-07T09:38:59.0592634Z triton_mm_354 0.0205 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=3, num_warps=4 2025-09-07T09:38:59.0593874Z triton_mm_358 0.0205 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:38:59.0595142Z triton_mm_359 0.0205 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:38:59.0596432Z SingleProcess AUTOTUNE benchmarking takes 0.2595 seconds and 0.3966 seconds precompiling for 19 choices 2025-09-07T09:39:00.2801047Z Autotune Choices Stats: 2025-09-07T09:39:00.2802651Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.016383999958634377, "best_triton_pos": 1, "best_triton_time": 0.018432000651955605, "best_triton_kernel": "triton_mm_263", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:39:00.2814059Z AUTOTUNE mm(768x1024, 1024x768) 2025-09-07T09:39:00.2814491Z strides: [1, 768], [768, 1] 2025-09-07T09:39:00.2814835Z dtypes: torch.float16, torch.float16 2025-09-07T09:39:00.2815270Z mm 0.0164 ms 100.0% 2025-09-07T09:39:00.2816056Z triton_mm_263 0.0184 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 2025-09-07T09:39:00.2817348Z triton_mm_265 0.0195 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:39:00.2818617Z triton_mm_259 0.0205 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:39:00.2819867Z triton_mm_262 0.0205 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 2025-09-07T09:39:00.2821142Z triton_mm_260 0.0215 ms 76.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:39:00.2822433Z triton_mm_261 0.0236 ms 69.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:00.2823711Z triton_mm_264 0.0236 ms 69.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:00.2824943Z triton_mm_268 0.0246 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 2025-09-07T09:39:00.2826216Z triton_mm_269 0.0246 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=5, num_warps=8 2025-09-07T09:39:00.2827319Z SingleProcess AUTOTUNE benchmarking takes 0.2642 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:39:01.6828230Z Autotune Choices Stats: 2025-09-07T09:39:01.6829897Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_209", "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": 0.04095999896526337, "best_triton_pos": 0} 2025-09-07T09:39:01.6840317Z AUTOTUNE mm(1024x3072, 3072x768) 2025-09-07T09:39:01.6840710Z strides: [3072, 1], [768, 1] 2025-09-07T09:39:01.6841089Z dtypes: torch.float16, torch.float16 2025-09-07T09:39:01.6841918Z triton_mm_209 0.0410 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 2025-09-07T09:39:01.6842717Z mm 0.0440 ms 93.0% 2025-09-07T09:39:01.6843492Z triton_mm_205 0.0451 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 2025-09-07T09:39:01.6844767Z triton_mm_206 0.0461 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 2025-09-07T09:39:01.6846235Z triton_mm_208 0.0481 ms 85.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:39:01.6847506Z triton_mm_211 0.0502 ms 81.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:39:01.6848783Z triton_mm_215 0.0573 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:39:01.6850006Z triton_mm_207 0.0584 ms 70.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:01.6851276Z triton_mm_202 0.0614 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:39:01.6852540Z triton_mm_214 0.0614 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 2025-09-07T09:39:01.6853896Z SingleProcess AUTOTUNE benchmarking takes 0.3490 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:39:03.1504947Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/plbart/modeling_plbart.py", line 298, in forward 2025-09-07T09:39:03.1506308Z return super().forward(position_ids + self.offset) 2025-09-07T09:39:03.1506625Z 2025-09-07T09:39:03.1506630Z 2025-09-07T09:39:03.4624034Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/plbart/modeling_plbart.py", line 70, in forward 2025-09-07T09:39:03.4625402Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:39:03.4625705Z 2025-09-07T09:39:03.4625710Z 2025-09-07T09:39:03.8780081Z pass 2025-09-07T09:39:07.6276536Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:39:07.6278078Z import pynvml # type: ignore[import] 2025-09-07T09:39:10.9751441Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:39:10.9753134Z from pkg_resources import resource_filename 2025-09-07T09:39:11.6909169Z 2025-09-07T09:39:15.3764182Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:39:15.3764650Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:39:15.3765094Z cuda train PLBartForConditionalGeneration 2025-09-07T09:39:20.7499262Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/plbart/modeling_plbart.py", line 70, in forward 2025-09-07T09:39:20.7500724Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:39:20.7501071Z 2025-09-07T09:39:20.7501076Z 2025-09-07T09:39:25.0275420Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/plbart/modeling_plbart.py", line 298, in forward 2025-09-07T09:39:25.0276787Z return super().forward(position_ids + self.offset) 2025-09-07T09:39:25.0277603Z 2025-09-07T09:39:25.0277608Z 2025-09-07T09:39:36.9546754Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/plbart/modeling_plbart.py", line 298, in forward 2025-09-07T09:39:36.9548112Z return super().forward(position_ids + self.offset) 2025-09-07T09:39:36.9548410Z 2025-09-07T09:39:36.9548415Z 2025-09-07T09:39:37.9176297Z pass 2025-09-07T09:39:41.6336046Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:39:41.6337558Z import pynvml # type: ignore[import] 2025-09-07T09:39:44.9950150Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:39:44.9951833Z from pkg_resources import resource_filename 2025-09-07T09:39:45.6780228Z 2025-09-07T09:39:51.6359211Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:39:51.6359640Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:39:51.6360064Z cuda train PegasusForCausalLM 2025-09-07T09:40:00.6849788Z Autotune Choices Stats: 2025-09-07T09:40:00.6851450Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.023552000522613525, "best_triton_pos": 1, "best_triton_time": 0.023552000522613525, "best_triton_kernel": "triton_mm_79", "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"} 2025-09-07T09:40:00.6863319Z AUTOTUNE addmm(128x4096, 128x1024, 1024x4096) 2025-09-07T09:40:00.6863838Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T09:40:00.6864231Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:40:00.6864687Z bias_addmm 0.0236 ms 100.0% 2025-09-07T09:40:00.6865497Z triton_mm_79 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=8 2025-09-07T09:40:00.6866766Z triton_mm_83 0.0236 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 2025-09-07T09:40:00.6868031Z triton_mm_73 0.0246 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:40:00.6869591Z triton_mm_80 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=5, num_warps=4 2025-09-07T09:40:00.6870825Z triton_mm_85 0.0246 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:00.6872089Z triton_mm_76 0.0256 ms 92.0% 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 2025-09-07T09:40:00.6873352Z triton_mm_82 0.0256 ms 92.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:00.6874612Z triton_mm_89 0.0266 ms 88.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:00.6875450Z addmm 0.0276 ms 85.2% 2025-09-07T09:40:00.6876070Z SingleProcess AUTOTUNE benchmarking takes 0.3191 seconds and 1.3736 seconds precompiling for 20 choices 2025-09-07T09:40:01.6657318Z Autotune Choices Stats: 2025-09-07T09:40:01.6658636Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_4", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T09:40:01.6669793Z AUTOTUNE mm(128x1024, 1024x1024) 2025-09-07T09:40:01.6670190Z strides: [1024, 1], [1, 1024] 2025-09-07T09:40:01.6670589Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:01.6671412Z triton_mm_4 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 2025-09-07T09:40:01.6672718Z triton_mm_8 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 2025-09-07T09:40:01.6673556Z mm 0.0143 ms 85.7% 2025-09-07T09:40:01.6674327Z triton_mm_1 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 2025-09-07T09:40:01.6675589Z triton_mm_2 0.0154 ms 80.0% 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 2025-09-07T09:40:01.6676848Z triton_mm_3 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 2025-09-07T09:40:01.6678173Z triton_mm_7 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 2025-09-07T09:40:01.6679391Z triton_mm_11 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 2025-09-07T09:40:01.6680661Z triton_mm_10 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 2025-09-07T09:40:01.6681933Z triton_mm_13 0.0205 ms 60.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:01.6683034Z SingleProcess AUTOTUNE benchmarking takes 0.2639 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:40:01.9613720Z Autotune Choices Stats: 2025-09-07T09:40:01.9615303Z {"num_choices": 20, "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T09:40:01.9627231Z AUTOTUNE addmm(128x1024, 128x1024, 1024x1024) 2025-09-07T09:40:01.9627750Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T09:40:01.9628155Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:40:01.9629082Z triton_mm_58 0.0133 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 2025-09-07T09:40:01.9629928Z bias_addmm 0.0143 ms 92.9% 2025-09-07T09:40:01.9630742Z triton_mm_62 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:40:01.9632011Z triton_mm_55 0.0154 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:40:01.9633266Z triton_mm_56 0.0154 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:01.9634683Z triton_mm_57 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:01.9635929Z triton_mm_61 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:40:01.9636750Z addmm 0.0195 ms 68.4% 2025-09-07T09:40:01.9637619Z triton_mm_65 0.0195 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 2025-09-07T09:40:01.9638849Z triton_mm_64 0.0215 ms 61.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:01.9639958Z SingleProcess AUTOTUNE benchmarking takes 0.2941 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:40:02.6107506Z Autotune Choices Stats: 2025-09-07T09:40:02.6109055Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.025599999353289604, "best_triton_pos": 1, "best_triton_time": 0.02969600073993206, "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"} 2025-09-07T09:40:02.6122863Z AUTOTUNE addmm(128x1024, 128x4096, 4096x1024) 2025-09-07T09:40:02.6123356Z strides: [0, 1], [4096, 1], [1, 4096] 2025-09-07T09:40:02.6123803Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:40:02.6124262Z bias_addmm 0.0256 ms 100.0% 2025-09-07T09:40:02.6125067Z triton_mm_98 0.0297 ms 86.2% 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 2025-09-07T09:40:02.6125924Z addmm 0.0317 ms 80.6% 2025-09-07T09:40:02.6126714Z triton_mm_94 0.0317 ms 80.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:40:02.6127984Z triton_mm_91 0.0399 ms 64.1% 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 2025-09-07T09:40:02.6129248Z triton_mm_92 0.0399 ms 64.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:02.6130792Z triton_mm_93 0.0399 ms 64.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:02.6132009Z triton_mm_97 0.0461 ms 55.6% 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 2025-09-07T09:40:02.6133518Z triton_mm_101 0.0522 ms 49.0% 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 2025-09-07T09:40:02.6134797Z triton_mm_100 0.0584 ms 43.9% 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 2025-09-07T09:40:02.6135910Z SingleProcess AUTOTUNE benchmarking takes 0.6490 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:40:05.6510701Z Autotune Choices Stats: 2025-09-07T09:40:05.6512025Z {"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": 0.1157120019197464, "best_triton_pos": 0} 2025-09-07T09:40:05.6526117Z AUTOTUNE mm(128x1024, 1024x50265) 2025-09-07T09:40:05.6526518Z strides: [1024, 1], [1, 1024] 2025-09-07T09:40:05.6526848Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:05.6527702Z triton_mm_124 0.1157 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 2025-09-07T09:40:05.6528979Z triton_mm_125 0.1178 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:05.6530234Z triton_mm_119 0.1208 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:05.6531514Z triton_mm_115 0.1280 ms 90.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:40:05.6532996Z triton_mm_118 0.1413 ms 81.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:05.6534270Z triton_mm_123 0.1454 ms 79.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:05.6535508Z triton_mm_117 0.1485 ms 77.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:05.6536782Z triton_mm_116 0.1495 ms 77.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:40:05.6538058Z triton_mm_121 0.1495 ms 77.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:05.6539337Z triton_mm_120 0.1516 ms 76.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:05.6540447Z SingleProcess AUTOTUNE benchmarking takes 0.5509 seconds and 0.8763 seconds precompiling for 19 choices 2025-09-07T09:40:09.4905839Z Autotune Choices Stats: 2025-09-07T09:40:09.4907369Z {"num_choices": 24, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.11776000261306763, "best_triton_pos": 3, "best_triton_time": 0.20582400262355804, "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"} 2025-09-07T09:40:09.4931104Z AUTOTUNE mm(128x50272, 50272x1024) 2025-09-07T09:40:09.4931432Z strides: [50304, 1], [1024, 1] 2025-09-07T09:40:09.4931749Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:09.4932063Z mm 0.1178 ms 100.0% 2025-09-07T09:40:09.4932371Z decompose_k_mm_2_split_0 0.1300 ms 90.6% k_split=2 2025-09-07T09:40:09.4933026Z decompose_k_mm_4_split_1 0.1505 ms 78.2% k_split=4 2025-09-07T09:40:09.4933831Z triton_mm_148 0.2058 ms 57.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:40:09.4934656Z decompose_k_mm_16_split_3 0.2877 ms 40.9% k_split=16 2025-09-07T09:40:09.4935469Z triton_mm_152 0.3164 ms 37.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:40:09.4936281Z decompose_k_mm_8_split_2 0.3451 ms 34.1% k_split=8 2025-09-07T09:40:09.4937087Z triton_mm_146 0.3471 ms 33.9% 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 2025-09-07T09:40:09.4938454Z triton_mm_147 0.3615 ms 32.6% 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 2025-09-07T09:40:09.4939629Z triton_mm_145 0.4393 ms 26.8% 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 2025-09-07T09:40:09.4940666Z SingleProcess AUTOTUNE benchmarking takes 1.5199 seconds and 0.7481 seconds precompiling for 24 choices 2025-09-07T09:40:10.2388588Z Autotune Choices Stats: 2025-09-07T09:40:10.2389825Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_141", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.11264000087976456, "best_triton_pos": 0} 2025-09-07T09:40:10.2404492Z AUTOTUNE mm(50272x128, 128x1024) 2025-09-07T09:40:10.2404813Z strides: [128, 1], [1024, 1] 2025-09-07T09:40:10.2405115Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:10.2405882Z triton_mm_141 0.1126 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 2025-09-07T09:40:10.2407090Z triton_mm_135 0.1157 ms 97.3% 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 2025-09-07T09:40:10.2408287Z triton_mm_138 0.1167 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:10.2409487Z triton_mm_142 0.1178 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:10.2410690Z triton_mm_137 0.1260 ms 89.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:10.2411883Z triton_mm_140 0.1311 ms 85.9% 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 2025-09-07T09:40:10.2413292Z triton_mm_136 0.1341 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:10.2414474Z triton_mm_139 0.1382 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:10.2415222Z mm 0.1454 ms 77.5% 2025-09-07T09:40:10.2416221Z triton_mm_132 0.1505 ms 74.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:40:10.2417258Z SingleProcess AUTOTUNE benchmarking takes 0.5412 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:40:13.5558097Z Autotune Choices Stats: 2025-09-07T09:40:13.5560204Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_189", "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": 0.01740800030529499, "best_triton_pos": 0} 2025-09-07T09:40:13.5561879Z AUTOTUNE mm(1024x128, 128x4096) 2025-09-07T09:40:13.5562684Z strides: [1, 1024], [4096, 1] 2025-09-07T09:40:13.5563259Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:13.5564291Z triton_mm_189 0.0174 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 2025-09-07T09:40:13.5565795Z triton_mm_186 0.0184 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:40:13.5567525Z triton_mm_190 0.0184 ms 94.4% 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 2025-09-07T09:40:13.5569093Z triton_mm_191 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 2025-09-07T09:40:13.5570564Z triton_mm_192 0.0184 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:13.5572014Z triton_mm_193 0.0184 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:13.5573756Z triton_mm_195 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 2025-09-07T09:40:13.5575108Z triton_mm_196 0.0195 ms 89.5% 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 2025-09-07T09:40:13.5576146Z mm 0.0205 ms 85.0% 2025-09-07T09:40:13.5577286Z triton_mm_187 0.0205 ms 85.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:40:13.5578357Z SingleProcess AUTOTUNE benchmarking takes 0.3217 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T09:40:14.1962651Z Autotune Choices Stats: 2025-09-07T09:40:14.1964271Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_228", "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": 0.01740800030529499, "best_triton_pos": 0} 2025-09-07T09:40:14.1982431Z AUTOTUNE mm(4096x128, 128x1024) 2025-09-07T09:40:14.1982785Z strides: [1, 4096], [1024, 1] 2025-09-07T09:40:14.1983079Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:14.1983870Z triton_mm_228 0.0174 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 2025-09-07T09:40:14.1985089Z triton_mm_225 0.0184 ms 94.4% 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 2025-09-07T09:40:14.1986649Z triton_mm_226 0.0184 ms 94.4% 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 2025-09-07T09:40:14.1987861Z triton_mm_227 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 2025-09-07T09:40:14.1989035Z triton_mm_229 0.0184 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:14.1990226Z triton_mm_231 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 2025-09-07T09:40:14.1991419Z triton_mm_232 0.0195 ms 89.5% 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 2025-09-07T09:40:14.1992607Z triton_mm_222 0.0205 ms 85.0% 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 2025-09-07T09:40:14.1994092Z triton_mm_223 0.0205 ms 85.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:40:14.1995546Z triton_mm_224 0.0205 ms 85.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:40:14.1996646Z SingleProcess AUTOTUNE benchmarking takes 0.2797 seconds and 0.1273 seconds precompiling for 19 choices 2025-09-07T09:40:15.0083493Z Autotune Choices Stats: 2025-09-07T09:40:15.0084755Z {"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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T09:40:15.0102371Z AUTOTUNE mm(1024x128, 128x1024) 2025-09-07T09:40:15.0102741Z strides: [1, 1024], [1024, 1] 2025-09-07T09:40:15.0103063Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:15.0103831Z triton_mm_260 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 2025-09-07T09:40:15.0105046Z triton_mm_261 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 2025-09-07T09:40:15.0106245Z triton_mm_264 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 2025-09-07T09:40:15.0107452Z triton_mm_265 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 2025-09-07T09:40:15.0108650Z triton_mm_267 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 2025-09-07T09:40:15.0109861Z triton_mm_268 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 2025-09-07T09:40:15.0111069Z triton_mm_269 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=5, num_warps=8 2025-09-07T09:40:15.0111812Z mm 0.0123 ms 91.7% 2025-09-07T09:40:15.0112632Z triton_mm_256 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 2025-09-07T09:40:15.0114212Z triton_mm_258 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 2025-09-07T09:40:15.0115333Z SingleProcess AUTOTUNE benchmarking takes 0.2362 seconds and 0.5144 seconds precompiling for 19 choices 2025-09-07T09:40:15.5310774Z Autotune Choices Stats: 2025-09-07T09:40:15.5312374Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.01945599913597107, "best_triton_pos": 1, "best_triton_time": 0.020479999482631683, "best_triton_kernel": "triton_mm_173", "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"} 2025-09-07T09:40:15.5329016Z AUTOTUNE mm(128x1024, 1024x4096) 2025-09-07T09:40:15.5329498Z strides: [1024, 1], [4096, 1] 2025-09-07T09:40:15.5329883Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:15.5330278Z mm 0.0195 ms 100.0% 2025-09-07T09:40:15.5331051Z triton_mm_173 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=3, num_warps=4 2025-09-07T09:40:15.5332869Z triton_mm_172 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 2025-09-07T09:40:15.5334148Z triton_mm_175 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=4, num_warps=8 2025-09-07T09:40:15.5335414Z triton_mm_169 0.0225 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 2025-09-07T09:40:15.5336679Z triton_mm_163 0.0236 ms 82.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:40:15.5337953Z triton_mm_170 0.0236 ms 82.6% 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 2025-09-07T09:40:15.5339202Z triton_mm_179 0.0256 ms 76.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:15.5340470Z triton_mm_164 0.0266 ms 73.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:15.5341737Z triton_mm_171 0.0266 ms 73.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:15.5342858Z SingleProcess AUTOTUNE benchmarking takes 0.2702 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:40:17.3660851Z Autotune Choices Stats: 2025-09-07T09:40:17.3662217Z {"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": 0.025599999353289604, "best_triton_pos": 0} 2025-09-07T09:40:17.3679484Z AUTOTUNE mm(128x4096, 4096x1024) 2025-09-07T09:40:17.3679898Z strides: [4096, 1], [1024, 1] 2025-09-07T09:40:17.3680289Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:17.3681108Z triton_mm_202 0.0256 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 2025-09-07T09:40:17.3681950Z mm 0.0266 ms 96.2% 2025-09-07T09:40:17.3682737Z triton_mm_206 0.0317 ms 80.6% 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 2025-09-07T09:40:17.3684331Z triton_mm_200 0.0379 ms 67.6% 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 2025-09-07T09:40:17.3685615Z triton_mm_201 0.0399 ms 64.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:17.3686890Z triton_mm_199 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 2025-09-07T09:40:17.3688155Z triton_mm_205 0.0451 ms 56.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:40:17.3689400Z triton_mm_209 0.0481 ms 53.2% 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 2025-09-07T09:40:17.3690674Z triton_mm_208 0.0594 ms 43.1% 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 2025-09-07T09:40:17.3692100Z triton_mm_211 0.0625 ms 41.0% 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 2025-09-07T09:40:17.3693496Z SingleProcess AUTOTUNE benchmarking takes 0.3589 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:40:17.6229053Z Autotune Choices Stats: 2025-09-07T09:40:17.6230296Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_238", "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} 2025-09-07T09:40:17.6248574Z AUTOTUNE mm(128x1024, 1024x1024) 2025-09-07T09:40:17.6249064Z strides: [1024, 1], [1024, 1] 2025-09-07T09:40:17.6249445Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:17.6250261Z triton_mm_238 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 2025-09-07T09:40:17.6251101Z mm 0.0133 ms 92.3% 2025-09-07T09:40:17.6251871Z triton_mm_242 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 2025-09-07T09:40:17.6253315Z triton_mm_236 0.0154 ms 80.0% 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 2025-09-07T09:40:17.6254589Z triton_mm_237 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 2025-09-07T09:40:17.6255854Z triton_mm_241 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 2025-09-07T09:40:17.6257086Z triton_mm_235 0.0174 ms 70.6% 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 2025-09-07T09:40:17.6258357Z triton_mm_245 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 2025-09-07T09:40:17.6259626Z triton_mm_244 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 2025-09-07T09:40:17.6261094Z triton_mm_247 0.0195 ms 63.2% 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 2025-09-07T09:40:17.6262211Z SingleProcess AUTOTUNE benchmarking takes 0.2564 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:40:19.2860442Z pass 2025-09-07T09:40:22.9574193Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:40:22.9575716Z import pynvml # type: ignore[import] 2025-09-07T09:40:26.3106269Z /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. 2025-09-07T09:40:26.3107940Z from pkg_resources import resource_filename 2025-09-07T09:40:27.0065914Z 2025-09-07T09:40:36.5535281Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:40:36.5535717Z loading model: 0it [00:09, ?it/s] 2025-09-07T09:40:36.5536603Z cuda train PegasusForConditionalGeneration 2025-09-07T09:41:01.4074095Z pass 2025-09-07T09:41:05.0703943Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:41:05.0705459Z import pynvml # type: ignore[import] 2025-09-07T09:41:08.4290031Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:41:08.4291741Z from pkg_resources import resource_filename 2025-09-07T09:41:09.1073941Z 2025-09-07T09:41:09.1225018Z loading model: 0it [00:00, ?it/s]If you want to use `RobertaLMHeadModel` as a standalone, add `is_decoder=True.` 2025-09-07T09:41:09.1226123Z WARNING:transformers.models.roberta.modeling_roberta:If you want to use `RobertaLMHeadModel` as a standalone, add `is_decoder=True.` 2025-09-07T09:41:11.4919732Z We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T09:41:11.4921306Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T09:41:11.4922939Z WARNING:transformers.modeling_utils:We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T09:41:11.4924561Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T09:41:11.8679049Z 2025-09-07T09:41:11.8679374Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:41:11.8679785Z cuda train RobertaForCausalLM 2025-09-07T09:41:34.3315554Z Autotune Choices Stats: 2025-09-07T09:41:34.3317184Z {"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"} 2025-09-07T09:41:34.3336267Z AUTOTUNE addmm(512x3072, 512x768, 768x3072) 2025-09-07T09:41:34.3336614Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T09:41:34.3337298Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:41:34.3337679Z bias_addmm 0.0215 ms 100.0% 2025-09-07T09:41:34.3338435Z 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 2025-09-07T09:41:34.3339634Z 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 2025-09-07T09:41:34.3340823Z 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 2025-09-07T09:41:34.3341997Z 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 2025-09-07T09:41:34.3343185Z 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 2025-09-07T09:41:34.3344523Z triton_mm_84 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=3, num_warps=4 2025-09-07T09:41:34.3345705Z 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 2025-09-07T09:41:34.3346881Z 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 2025-09-07T09:41:34.3348062Z 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 2025-09-07T09:41:34.3349085Z SingleProcess AUTOTUNE benchmarking takes 0.3281 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T09:41:36.0121056Z Autotune Choices Stats: 2025-09-07T09:41:36.0122290Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_8", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T09:41:36.0140891Z AUTOTUNE addmm(512x768, 512x768, 768x768) 2025-09-07T09:41:36.0141266Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T09:41:36.0141618Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:41:36.0142440Z triton_mm_8 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 2025-09-07T09:41:36.0143208Z bias_addmm 0.0143 ms 92.9% 2025-09-07T09:41:36.0143963Z triton_mm_7 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 2025-09-07T09:41:36.0145146Z triton_mm_11 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:36.0146302Z triton_mm_3 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 2025-09-07T09:41:36.0147474Z triton_mm_4 0.0174 ms 76.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:41:36.0148647Z triton_mm_10 0.0174 ms 76.5% 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 2025-09-07T09:41:36.0150146Z triton_mm_13 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 2025-09-07T09:41:36.0151340Z triton_mm_1 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 2025-09-07T09:41:36.0152515Z triton_mm_2 0.0184 ms 72.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:41:36.0153539Z SingleProcess AUTOTUNE benchmarking takes 0.2912 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:41:36.3846849Z Autotune Choices Stats: 2025-09-07T09:41:36.3848118Z {"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} 2025-09-07T09:41:36.3867447Z AUTOTUNE addmm(512x768, 512x3072, 3072x768) 2025-09-07T09:41:36.3867811Z strides: [0, 1], [3072, 1], [1, 3072] 2025-09-07T09:41:36.3868171Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:41:36.3868973Z 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 2025-09-07T09:41:36.3869734Z bias_addmm 0.0297 ms 86.2% 2025-09-07T09:41:36.3870017Z addmm 0.0338 ms 75.8% 2025-09-07T09:41:36.3870721Z 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 2025-09-07T09:41:36.3871914Z triton_mm_101 0.0410 ms 62.5% 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 2025-09-07T09:41:36.3873095Z 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 2025-09-07T09:41:36.3874268Z 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 2025-09-07T09:41:36.3875442Z 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 2025-09-07T09:41:36.3876609Z 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 2025-09-07T09:41:36.3877863Z 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 2025-09-07T09:41:36.3878889Z SingleProcess AUTOTUNE benchmarking takes 0.3699 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:41:37.1601414Z Autotune Choices Stats: 2025-09-07T09:41:37.1602614Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_1329", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.26521599292755127, "best_triton_pos": 0} 2025-09-07T09:41:37.1622612Z AUTOTUNE addmm(512x50265, 512x768, 768x50265) 2025-09-07T09:41:37.1622979Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T09:41:37.1623337Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:41:37.1624439Z triton_mm_1329 0.2652 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 2025-09-07T09:41:37.1625665Z triton_mm_1323 0.2693 ms 98.5% 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 2025-09-07T09:41:37.1626882Z triton_mm_1330 0.2744 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:37.1628083Z triton_mm_1325 0.3041 ms 87.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:37.1629274Z triton_mm_1326 0.3144 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 2025-09-07T09:41:37.1630475Z triton_mm_1331 0.3389 ms 78.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:41:37.1631677Z triton_mm_1327 0.3615 ms 73.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:37.1633007Z triton_mm_1321 0.3779 ms 70.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:41:37.1634182Z triton_mm_1324 0.3799 ms 69.8% 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 2025-09-07T09:41:37.1635368Z triton_mm_1320 0.3891 ms 68.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:41:37.1636402Z SingleProcess AUTOTUNE benchmarking takes 0.7337 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:41:51.8310213Z Autotune Choices Stats: 2025-09-07T09:41:51.8311739Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.17817600071430206, "best_triton_pos": 1, "best_triton_time": 0.3092480003833771, "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"} 2025-09-07T09:41:51.8333571Z AUTOTUNE mm(50265x512, 512x768) 2025-09-07T09:41:51.8333895Z strides: [1, 50304], [768, 1] 2025-09-07T09:41:51.8334188Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:51.8334504Z mm 0.1782 ms 100.0% 2025-09-07T09:41:51.8335221Z triton_mm_1366 0.3092 ms 57.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:51.8336448Z triton_mm_1364 0.3297 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=2, num_warps=8 2025-09-07T09:41:51.8337666Z triton_mm_1365 0.3502 ms 50.9% 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 2025-09-07T09:41:51.8338866Z triton_mm_1361 0.3983 ms 44.7% 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 2025-09-07T09:41:51.8340045Z triton_mm_1359 0.4168 ms 42.8% 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 2025-09-07T09:41:51.8341244Z triton_mm_1362 0.4372 ms 40.7% 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 2025-09-07T09:41:51.8342758Z triton_mm_1360 0.4383 ms 40.7% 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 2025-09-07T09:41:51.8343972Z triton_mm_1367 0.4434 ms 40.2% 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 2025-09-07T09:41:51.8345168Z triton_mm_1356 0.4608 ms 38.7% 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 2025-09-07T09:41:51.8346202Z SingleProcess AUTOTUNE benchmarking takes 0.6895 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:41:52.4114449Z Autotune Choices Stats: 2025-09-07T09:41:52.4115710Z {"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} 2025-09-07T09:41:52.4137847Z AUTOTUNE mm(768x512, 512x3072) 2025-09-07T09:41:52.4138462Z strides: [1, 768], [3072, 1] 2025-09-07T09:41:52.4138767Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:52.4139532Z 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 2025-09-07T09:41:52.4140746Z 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 2025-09-07T09:41:52.4141504Z mm 0.0236 ms 95.7% 2025-09-07T09:41:52.4142205Z 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 2025-09-07T09:41:52.4143416Z 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 2025-09-07T09:41:52.4144622Z 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 2025-09-07T09:41:52.4145807Z triton_mm_1432 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 2025-09-07T09:41:52.4147000Z triton_mm_1435 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 2025-09-07T09:41:52.4148197Z triton_mm_1439 0.0287 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:41:52.4149397Z triton_mm_1428 0.0297 ms 75.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:41:52.4150425Z SingleProcess AUTOTUNE benchmarking takes 0.2761 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:41:52.7090675Z Autotune Choices Stats: 2025-09-07T09:41:52.7091902Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1467", "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} 2025-09-07T09:41:52.7114804Z AUTOTUNE mm(3072x512, 512x768) 2025-09-07T09:41:52.7115154Z strides: [1, 3072], [768, 1] 2025-09-07T09:41:52.7115462Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:52.7116569Z triton_mm_1467 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 2025-09-07T09:41:52.7117868Z 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 2025-09-07T09:41:52.7118645Z mm 0.0236 ms 95.7% 2025-09-07T09:41:52.7119346Z triton_mm_1469 0.0236 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 2025-09-07T09:41:52.7120553Z 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 2025-09-07T09:41:52.7121742Z 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 2025-09-07T09:41:52.7122946Z 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 2025-09-07T09:41:52.7124324Z triton_mm_1468 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 2025-09-07T09:41:52.7125533Z 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 2025-09-07T09:41:52.7126732Z triton_mm_1464 0.0287 ms 78.6% 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 2025-09-07T09:41:52.7127768Z SingleProcess AUTOTUNE benchmarking takes 0.2755 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:41:53.2326194Z Autotune Choices Stats: 2025-09-07T09:41:53.2327711Z {"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_1415", "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"} 2025-09-07T09:41:53.2350422Z AUTOTUNE mm(512x768, 768x3072) 2025-09-07T09:41:53.2350781Z strides: [768, 1], [3072, 1] 2025-09-07T09:41:53.2351098Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:53.2351400Z mm 0.0205 ms 100.0% 2025-09-07T09:41:53.2352122Z 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 2025-09-07T09:41:53.2353335Z triton_mm_1420 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=3, num_warps=4 2025-09-07T09:41:53.2354560Z 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 2025-09-07T09:41:53.2355773Z 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 2025-09-07T09:41:53.2356970Z 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 2025-09-07T09:41:53.2358240Z 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 2025-09-07T09:41:53.2359747Z 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 2025-09-07T09:41:53.2360955Z 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 2025-09-07T09:41:53.2362159Z 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 2025-09-07T09:41:53.2363193Z SingleProcess AUTOTUNE benchmarking takes 0.2777 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:41:54.0275885Z Autotune Choices Stats: 2025-09-07T09:41:54.0277487Z {"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"} 2025-09-07T09:41:54.0301815Z AUTOTUNE mm(768x512, 512x768) 2025-09-07T09:41:54.0302132Z strides: [1, 768], [768, 1] 2025-09-07T09:41:54.0302729Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:54.0303025Z mm 0.0133 ms 100.0% 2025-09-07T09:41:54.0303745Z 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 2025-09-07T09:41:54.0304956Z 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 2025-09-07T09:41:54.0306150Z 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 2025-09-07T09:41:54.0307354Z 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 2025-09-07T09:41:54.0308548Z 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 2025-09-07T09:41:54.0309734Z triton_mm_1398 0.0154 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:54.0310932Z 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 2025-09-07T09:41:54.0312132Z 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 2025-09-07T09:41:54.0313346Z 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 2025-09-07T09:41:54.0314390Z SingleProcess AUTOTUNE benchmarking takes 0.2477 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:41:57.1372859Z Autotune Choices Stats: 2025-09-07T09:41:57.1374364Z {"num_choices": 24, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.2170879989862442, "best_triton_pos": 2, "best_triton_time": 0.3266560137271881, "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"} 2025-09-07T09:41:57.1408560Z AUTOTUNE mm(512x50272, 50272x768) 2025-09-07T09:41:57.1409066Z strides: [50304, 1], [768, 1] 2025-09-07T09:41:57.1409462Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:57.1409866Z mm 0.2171 ms 100.0% 2025-09-07T09:41:57.1410556Z decompose_k_mm_2_split_0 0.2693 ms 80.6% k_split=2 2025-09-07T09:41:57.1411479Z triton_mm_1340 0.3267 ms 66.5% 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 2025-09-07T09:41:57.1412385Z decompose_k_mm_4_split_1 0.3369 ms 64.4% k_split=4 2025-09-07T09:41:57.1413405Z triton_mm_1336 0.4434 ms 49.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:41:57.1414697Z triton_mm_1339 0.4547 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 2025-09-07T09:41:57.1415989Z triton_mm_1343 0.5079 ms 42.7% 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 2025-09-07T09:41:57.1417244Z triton_mm_1333 0.5591 ms 38.8% 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 2025-09-07T09:41:57.1418316Z decompose_k_mm_16_split_3 0.6359 ms 34.1% k_split=16 2025-09-07T09:41:57.1419206Z triton_mm_1342 0.6461 ms 33.6% 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 2025-09-07T09:41:57.1420309Z SingleProcess AUTOTUNE benchmarking takes 1.5462 seconds and 0.0002 seconds precompiling for 24 choices 2025-09-07T09:41:57.3933234Z Autotune Choices Stats: 2025-09-07T09:41:57.3934525Z {"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} 2025-09-07T09:41:57.3958721Z AUTOTUNE mm(512x768, 768x768) 2025-09-07T09:41:57.3959164Z strides: [768, 1], [768, 1] 2025-09-07T09:41:57.3959553Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:57.3960437Z 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 2025-09-07T09:41:57.3961294Z mm 0.0143 ms 92.9% 2025-09-07T09:41:57.3962047Z triton_mm_1375 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 2025-09-07T09:41:57.3963328Z 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 2025-09-07T09:41:57.3964601Z 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 2025-09-07T09:41:57.3965873Z 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 2025-09-07T09:41:57.3967140Z 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 2025-09-07T09:41:57.3968405Z 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 2025-09-07T09:41:57.3969669Z 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 2025-09-07T09:41:57.3971139Z 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 2025-09-07T09:41:57.3972271Z SingleProcess AUTOTUNE benchmarking takes 0.2533 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:41:57.7255883Z Autotune Choices Stats: 2025-09-07T09:41:57.7257419Z {"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"} 2025-09-07T09:41:57.7281479Z AUTOTUNE mm(512x3072, 3072x768) 2025-09-07T09:41:57.7281874Z strides: [3072, 1], [768, 1] 2025-09-07T09:41:57.7282259Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:57.7282611Z mm 0.0256 ms 100.0% 2025-09-07T09:41:57.7283418Z 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 2025-09-07T09:41:57.7284707Z triton_mm_1444 0.0348 ms 73.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:41:57.7286207Z 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 2025-09-07T09:41:57.7287448Z 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 2025-09-07T09:41:57.7288728Z 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 2025-09-07T09:41:57.7289941Z 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 2025-09-07T09:41:57.7291203Z triton_mm_1443 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 2025-09-07T09:41:57.7292477Z 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 2025-09-07T09:41:57.7293908Z 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 2025-09-07T09:41:57.7295025Z SingleProcess AUTOTUNE benchmarking takes 0.3312 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:42:01.4900478Z 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 2025-09-07T09:42:01.4901844Z pred = mod(**cloned_inputs) 2025-09-07T09:42:01.4902617Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 999, in forward 2025-09-07T09:42:01.4903435Z outputs = self.roberta( 2025-09-07T09:42:01.4904180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 826, in forward 2025-09-07T09:42:01.4904983Z embedding_output = self.embeddings( 2025-09-07T09:42:01.4905707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 117, in forward 2025-09-07T09:42:01.4906528Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T09:42:01.4906856Z 2025-09-07T09:42:01.4906861Z 2025-09-07T09:42:02.4465262Z W0907 09:42:02.445000 23134 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:42:35.8115829Z Run failed with return code: -11 2025-09-07T09:42:35.8116219Z Output: None 2025-09-07T09:42:35.8116454Z Error: None 2025-09-07T09:42:36.8639817Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:42:36.8641228Z import pynvml # type: ignore[import] 2025-09-07T09:42:40.2189732Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:42:40.2191319Z from pkg_resources import resource_filename 2025-09-07T09:42:40.9214692Z 2025-09-07T09:42:42.8896611Z loading model: 0it [00:00, ?it/s]We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T09:42:42.8898681Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T09:42:42.8906913Z WARNING:transformers.modeling_utils:We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-09-07T09:42:42.8908557Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-09-07T09:42:43.3271611Z 2025-09-07T09:42:43.3271855Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:42:43.3272258Z cuda train RobertaForQuestionAnswering 2025-09-07T09:43:05.4505379Z Autotune Choices Stats: 2025-09-07T09:43:05.4506637Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_1300", "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": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T09:43:05.4531331Z AUTOTUNE mm(512x768, 768x2) 2025-09-07T09:43:05.4531637Z strides: [768, 1], [1, 768] 2025-09-07T09:43:05.4531934Z dtypes: torch.float16, torch.float16 2025-09-07T09:43:05.4532957Z triton_mm_1300 0.0102 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 2025-09-07T09:43:05.4534199Z triton_mm_1306 0.0102 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 2025-09-07T09:43:05.4535420Z triton_mm_1297 0.0123 ms 83.3% 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 2025-09-07T09:43:05.4536611Z triton_mm_1298 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T09:43:05.4537801Z triton_mm_1299 0.0123 ms 83.3% 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 2025-09-07T09:43:05.4538991Z triton_mm_1303 0.0123 ms 83.3% 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 2025-09-07T09:43:05.4540553Z triton_mm_1311 0.0123 ms 83.3% 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 2025-09-07T09:43:05.4541319Z mm 0.0133 ms 76.9% 2025-09-07T09:43:05.4541997Z triton_mm_1305 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:43:05.4543189Z triton_mm_1310 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:05.4544222Z SingleProcess AUTOTUNE benchmarking takes 0.2324 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T09:43:18.8162288Z Autotune Choices Stats: 2025-09-07T09:43:18.8163544Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1331", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T09:43:18.8188464Z AUTOTUNE mm(2x512, 512x768) 2025-09-07T09:43:18.8188740Z strides: [1, 2], [768, 1] 2025-09-07T09:43:18.8189032Z dtypes: torch.float16, torch.float16 2025-09-07T09:43:18.8189806Z triton_mm_1331 0.0102 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 2025-09-07T09:43:18.8191017Z triton_mm_1332 0.0102 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 2025-09-07T09:43:18.8192223Z triton_mm_1336 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 2025-09-07T09:43:18.8193424Z triton_mm_1329 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=2, num_warps=2 2025-09-07T09:43:18.8194622Z triton_mm_1330 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 2025-09-07T09:43:18.8195805Z triton_mm_1335 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 2025-09-07T09:43:18.8197007Z triton_mm_1340 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 2025-09-07T09:43:18.8198282Z triton_mm_1342 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=4, num_warps=4 2025-09-07T09:43:18.8199486Z triton_mm_1344 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 2025-09-07T09:43:18.8200681Z triton_mm_1338 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 2025-09-07T09:43:18.8201697Z SingleProcess AUTOTUNE benchmarking takes 0.2297 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T09:43:19.8542868Z Autotune Choices Stats: 2025-09-07T09:43:19.8544109Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_1312", "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} 2025-09-07T09:43:19.8568840Z AUTOTUNE mm(512x2, 2x768) 2025-09-07T09:43:19.8569155Z strides: [2, 1], [768, 1] 2025-09-07T09:43:19.8569780Z dtypes: torch.float16, torch.float16 2025-09-07T09:43:19.8570576Z triton_mm_1312 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 2025-09-07T09:43:19.8571814Z triton_mm_1314 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 2025-09-07T09:43:19.8573236Z triton_mm_1315 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 2025-09-07T09:43:19.8574452Z triton_mm_1316 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 2025-09-07T09:43:19.8575665Z triton_mm_1317 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 2025-09-07T09:43:19.8577055Z triton_mm_1318 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 2025-09-07T09:43:19.8578259Z triton_mm_1319 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 2025-09-07T09:43:19.8579470Z triton_mm_1321 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 2025-09-07T09:43:19.8580690Z triton_mm_1324 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:19.8581436Z mm 0.0082 ms 87.5% 2025-09-07T09:43:19.8581974Z SingleProcess AUTOTUNE benchmarking takes 0.2056 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T09:43:24.0750754Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T09:43:24.0752022Z pred = mod(**cloned_inputs) 2025-09-07T09:43:24.0752744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 1516, in forward 2025-09-07T09:43:24.0753476Z outputs = self.roberta( 2025-09-07T09:43:24.0754165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 826, in forward 2025-09-07T09:43:24.0754891Z embedding_output = self.embeddings( 2025-09-07T09:43:24.0755643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 117, in forward 2025-09-07T09:43:24.0756457Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T09:43:24.0756784Z 2025-09-07T09:43:24.0756809Z 2025-09-07T09:43:24.7510226Z W0907 09:43:24.750000 26304 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:43:56.2862296Z Run failed with return code: -11 2025-09-07T09:43:56.2862689Z Output: None 2025-09-07T09:43:56.2862920Z Error: None 2025-09-07T09:43:57.3667736Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:43:57.3669147Z import pynvml # type: ignore[import] 2025-09-07T09:44:00.7180109Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:44:00.7181924Z from pkg_resources import resource_filename 2025-09-07T09:44:01.4542000Z 2025-09-07T09:44:03.3294223Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:44:03.3294608Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:44:03.3294946Z cuda train T5ForConditionalGeneration 2025-09-07T09:44:30.7057659Z Autotune Choices Stats: 2025-09-07T09:44:30.7059218Z {"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_118", "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"} 2025-09-07T09:44:30.7085090Z AUTOTUNE mm(1024x512, 512x2048) 2025-09-07T09:44:30.7085388Z strides: [512, 1], [1, 512] 2025-09-07T09:44:30.7086022Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:30.7086315Z mm 0.0215 ms 100.0% 2025-09-07T09:44:30.7087025Z triton_mm_118 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 2025-09-07T09:44:30.7088230Z triton_mm_121 0.0215 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 2025-09-07T09:44:30.7089422Z triton_mm_120 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 2025-09-07T09:44:30.7090608Z triton_mm_115 0.0246 ms 87.5% 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 2025-09-07T09:44:30.7091792Z triton_mm_122 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 2025-09-07T09:44:30.7093172Z triton_mm_124 0.0246 ms 87.5% 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 2025-09-07T09:44:30.7094371Z triton_mm_125 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 2025-09-07T09:44:30.7095555Z triton_mm_116 0.0256 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:44:30.7096736Z triton_mm_119 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 2025-09-07T09:44:30.7097764Z SingleProcess AUTOTUNE benchmarking takes 0.2882 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:44:31.9852413Z Autotune Choices Stats: 2025-09-07T09:44:31.9854118Z {"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_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"} 2025-09-07T09:44:31.9879740Z AUTOTUNE mm(1024x512, 512x512) 2025-09-07T09:44:31.9880048Z strides: [512, 1], [1, 512] 2025-09-07T09:44:31.9880350Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:31.9880672Z mm 0.0133 ms 100.0% 2025-09-07T09:44:31.9881722Z triton_mm_11 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 2025-09-07T09:44:31.9882916Z triton_mm_7 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 2025-09-07T09:44:31.9884092Z triton_mm_10 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 2025-09-07T09:44:31.9885275Z triton_mm_13 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 2025-09-07T09:44:31.9886459Z triton_mm_12 0.0154 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:44:31.9887639Z triton_mm_1 0.0164 ms 81.2% 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 2025-09-07T09:44:31.9888963Z triton_mm_8 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 2025-09-07T09:44:31.9890135Z triton_mm_9 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=3, num_warps=4 2025-09-07T09:44:31.9891314Z triton_mm_17 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 2025-09-07T09:44:31.9892423Z SingleProcess AUTOTUNE benchmarking takes 0.2544 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:44:32.2746087Z Autotune Choices Stats: 2025-09-07T09:44:32.2747276Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_61", "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": 0.02252800017595291, "best_triton_pos": 0} 2025-09-07T09:44:32.2774828Z AUTOTUNE bmm(8x1024x64, 8x64x1024) 2025-09-07T09:44:32.2775202Z strides: [64, 512, 1], [64, 1, 512] 2025-09-07T09:44:32.2775510Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:32.2776288Z triton_bmm_61 0.0225 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 2025-09-07T09:44:32.2777496Z triton_bmm_62 0.0225 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 2025-09-07T09:44:32.2778716Z triton_bmm_63 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 2025-09-07T09:44:32.2779915Z triton_bmm_65 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 2025-09-07T09:44:32.2781121Z triton_bmm_66 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=4, num_warps=4 2025-09-07T09:44:32.2782305Z triton_bmm_64 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=4, num_warps=8 2025-09-07T09:44:32.2783493Z triton_bmm_67 0.0236 ms 95.7% 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 2025-09-07T09:44:32.2784932Z triton_bmm_70 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 2025-09-07T09:44:32.2786131Z triton_bmm_60 0.0246 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 2025-09-07T09:44:32.2787318Z triton_bmm_68 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 2025-09-07T09:44:32.2788343Z SingleProcess AUTOTUNE benchmarking takes 0.2853 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:44:32.5562954Z Autotune Choices Stats: 2025-09-07T09:44:32.5564129Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_90", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.028672000393271446, "best_triton_pos": 0} 2025-09-07T09:44:32.5592376Z AUTOTUNE bmm(8x1024x1024, 8x1024x64) 2025-09-07T09:44:32.5592761Z strides: [1048576, 1024, 1], [64, 512, 1] 2025-09-07T09:44:32.5593399Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:32.5594186Z triton_bmm_90 0.0287 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:44:32.5594949Z bmm 0.0297 ms 96.6% 2025-09-07T09:44:32.5595632Z triton_bmm_84 0.0297 ms 96.6% 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=4 2025-09-07T09:44:32.5596820Z triton_bmm_89 0.0297 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:44:32.5598098Z triton_bmm_74 0.0307 ms 93.3% 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 2025-09-07T09:44:32.5599288Z triton_bmm_80 0.0307 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 2025-09-07T09:44:32.5600484Z triton_bmm_81 0.0307 ms 93.3% 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 2025-09-07T09:44:32.5601669Z triton_bmm_85 0.0307 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:44:32.5602836Z triton_bmm_75 0.0328 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:44:32.5604014Z triton_bmm_83 0.0328 ms 87.5% 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=4, num_warps=8 2025-09-07T09:44:32.5605046Z SingleProcess AUTOTUNE benchmarking takes 0.2813 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:44:32.8669746Z Autotune Choices Stats: 2025-09-07T09:44:32.8671205Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.023552000522613525, "best_triton_pos": 1, "best_triton_time": 0.02969600073993206, "best_triton_kernel": "triton_mm_138", "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"} 2025-09-07T09:44:32.8698381Z AUTOTUNE mm(1024x2048, 2048x512) 2025-09-07T09:44:32.8698704Z strides: [2048, 1], [1, 2048] 2025-09-07T09:44:32.8698992Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:32.8699302Z mm 0.0236 ms 100.0% 2025-09-07T09:44:32.8700251Z triton_mm_138 0.0297 ms 79.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:44:32.8701473Z triton_mm_135 0.0307 ms 76.7% 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 2025-09-07T09:44:32.8702664Z triton_mm_134 0.0328 ms 71.9% 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 2025-09-07T09:44:32.8703845Z triton_mm_137 0.0328 ms 71.9% 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 2025-09-07T09:44:32.8705035Z triton_mm_140 0.0338 ms 69.7% 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 2025-09-07T09:44:32.8706217Z triton_mm_131 0.0348 ms 67.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:44:32.8707528Z triton_mm_128 0.0379 ms 62.2% 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 2025-09-07T09:44:32.8708720Z triton_mm_143 0.0420 ms 56.1% 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 2025-09-07T09:44:32.8709915Z triton_mm_139 0.0430 ms 54.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:44:32.8710949Z SingleProcess AUTOTUNE benchmarking takes 0.3085 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:44:33.7046919Z Autotune Choices Stats: 2025-09-07T09:44:33.7048408Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.16179199516773224, "best_triton_pos": 1, "best_triton_time": 0.18636800348758698, "best_triton_kernel": "triton_mm_2410", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:44:33.7076345Z AUTOTUNE mm(1024x512, 512x32128) 2025-09-07T09:44:33.7076693Z strides: [512, 1], [1, 512] 2025-09-07T09:44:33.7076992Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:33.7077356Z mm 0.1618 ms 100.0% 2025-09-07T09:44:33.7078086Z triton_mm_2410 0.1864 ms 86.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:44:33.7079328Z triton_mm_2409 0.1935 ms 83.6% 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 2025-09-07T09:44:33.7080537Z triton_mm_2403 0.2028 ms 79.8% 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 2025-09-07T09:44:33.7081741Z triton_mm_2406 0.2355 ms 68.7% 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 2025-09-07T09:44:33.7082940Z triton_mm_2405 0.2376 ms 68.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:44:33.7084122Z triton_mm_2411 0.2417 ms 66.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:44:33.7085582Z triton_mm_2407 0.2632 ms 61.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:44:33.7086794Z triton_mm_2408 0.2642 ms 61.2% 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 2025-09-07T09:44:33.7088004Z triton_mm_2404 0.2755 ms 58.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:44:33.7089042Z SingleProcess AUTOTUNE benchmarking takes 0.6704 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:44:53.4648036Z Autotune Choices Stats: 2025-09-07T09:44:53.4649583Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.1443839967250824, "best_triton_pos": 1, "best_triton_time": 0.18636800348758698, "best_triton_kernel": "triton_mm_2428", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:44:53.4676263Z AUTOTUNE mm(32128x1024, 1024x512) 2025-09-07T09:44:53.4676932Z strides: [1, 32128], [512, 1] 2025-09-07T09:44:53.4677305Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:53.4677604Z mm 0.1444 ms 100.0% 2025-09-07T09:44:53.4678325Z triton_mm_2428 0.1864 ms 77.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:44:53.4679541Z triton_mm_2427 0.1956 ms 73.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:44:53.4680748Z triton_mm_2421 0.2007 ms 71.9% 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 2025-09-07T09:44:53.4681968Z triton_mm_2429 0.2058 ms 70.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:44:53.4683172Z triton_mm_2424 0.2140 ms 67.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:44:53.4684356Z triton_mm_2423 0.2171 ms 66.5% 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 2025-09-07T09:44:53.4685555Z triton_mm_2425 0.2365 ms 61.0% 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 2025-09-07T09:44:53.4686751Z triton_mm_2422 0.2406 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 2025-09-07T09:44:53.4687962Z triton_mm_2426 0.2499 ms 57.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T09:44:53.4689004Z SingleProcess AUTOTUNE benchmarking takes 0.6662 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:44:54.0283638Z Autotune Choices Stats: 2025-09-07T09:44:54.0285188Z {"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_2475", "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"} 2025-09-07T09:44:54.0315260Z AUTOTUNE mm(1024x512, 512x2048) 2025-09-07T09:44:54.0315580Z strides: [512, 1], [2048, 1] 2025-09-07T09:44:54.0315880Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:54.0316175Z mm 0.0215 ms 100.0% 2025-09-07T09:44:54.0317301Z triton_mm_2475 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 2025-09-07T09:44:54.0318556Z triton_mm_2477 0.0215 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 2025-09-07T09:44:54.0319763Z triton_mm_2478 0.0215 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 2025-09-07T09:44:54.0320968Z triton_mm_2481 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 2025-09-07T09:44:54.0322175Z triton_mm_2476 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 2025-09-07T09:44:54.0323366Z triton_mm_2482 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 2025-09-07T09:44:54.0324719Z triton_mm_2472 0.0256 ms 84.0% 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 2025-09-07T09:44:54.0325914Z triton_mm_2473 0.0256 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:44:54.0327109Z triton_mm_2479 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 2025-09-07T09:44:54.0328143Z SingleProcess AUTOTUNE benchmarking takes 0.2757 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:44:54.7248599Z Autotune Choices Stats: 2025-09-07T09:44:54.7250127Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.02252800017595291, "best_triton_pos": 1, "best_triton_time": 0.023552000522613525, "best_triton_kernel": "triton_mm_2459", "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"} 2025-09-07T09:44:54.7280347Z AUTOTUNE mm(512x1024, 1024x2048) 2025-09-07T09:44:54.7280643Z strides: [1, 512], [2048, 1] 2025-09-07T09:44:54.7280941Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:54.7281250Z mm 0.0225 ms 100.0% 2025-09-07T09:44:54.7281966Z triton_mm_2459 0.0236 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 2025-09-07T09:44:54.7283176Z triton_mm_2465 0.0236 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:44:54.7284388Z triton_mm_2464 0.0256 ms 88.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:44:54.7285604Z triton_mm_2457 0.0266 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=3, num_warps=4 2025-09-07T09:44:54.7286793Z triton_mm_2455 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 2025-09-07T09:44:54.7287993Z triton_mm_2463 0.0276 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:44:54.7289491Z triton_mm_2456 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 2025-09-07T09:44:54.7290697Z triton_mm_2458 0.0287 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 2025-09-07T09:44:54.7291881Z triton_mm_2461 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 2025-09-07T09:44:54.7293143Z SingleProcess AUTOTUNE benchmarking takes 0.2823 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:44:55.0617645Z Autotune Choices Stats: 2025-09-07T09:44:55.0619176Z {"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_2495", "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"} 2025-09-07T09:44:55.0649744Z AUTOTUNE mm(2048x1024, 1024x512) 2025-09-07T09:44:55.0650054Z strides: [1, 2048], [512, 1] 2025-09-07T09:44:55.0650342Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:55.0650656Z mm 0.0215 ms 100.0% 2025-09-07T09:44:55.0651374Z triton_mm_2495 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 2025-09-07T09:44:55.0652584Z triton_mm_2501 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=5, num_warps=8 2025-09-07T09:44:55.0654049Z triton_mm_2500 0.0256 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:44:55.0655267Z triton_mm_2491 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 2025-09-07T09:44:55.0656456Z triton_mm_2493 0.0276 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:44:55.0657657Z triton_mm_2496 0.0276 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=3, num_warps=4 2025-09-07T09:44:55.0658849Z triton_mm_2492 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 2025-09-07T09:44:55.0660048Z triton_mm_2497 0.0287 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=4, num_warps=8 2025-09-07T09:44:55.0661246Z triton_mm_2499 0.0287 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=3, num_warps=4 2025-09-07T09:44:55.0662284Z SingleProcess AUTOTUNE benchmarking takes 0.2822 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:44:55.6151677Z Autotune Choices Stats: 2025-09-07T09:44:55.6153198Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.014336000196635723, "best_triton_pos": 1, "best_triton_time": 0.014336000196635723, "best_triton_kernel": "triton_mm_2528", "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"} 2025-09-07T09:44:55.6184767Z AUTOTUNE mm(512x1024, 1024x512) 2025-09-07T09:44:55.6185143Z strides: [1, 512], [512, 1] 2025-09-07T09:44:55.6185442Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:55.6186089Z mm 0.0143 ms 100.0% 2025-09-07T09:44:55.6186823Z triton_mm_2528 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 2025-09-07T09:44:55.6188060Z triton_mm_2527 0.0184 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 2025-09-07T09:44:55.6189253Z triton_mm_2531 0.0184 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:44:55.6190451Z triton_mm_2521 0.0195 ms 73.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:44:55.6191648Z triton_mm_2533 0.0195 ms 73.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:44:55.6192840Z triton_mm_2522 0.0205 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 2025-09-07T09:44:55.6194154Z triton_mm_2523 0.0205 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 2025-09-07T09:44:55.6195349Z triton_mm_2530 0.0205 ms 70.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:44:55.6196543Z triton_mm_2524 0.0215 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:44:55.6197643Z SingleProcess AUTOTUNE benchmarking takes 0.2637 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:44:56.1096107Z Autotune Choices Stats: 2025-09-07T09:44:56.1097615Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.014336000196635723, "best_triton_pos": 1, "best_triton_time": 0.014336000196635723, "best_triton_kernel": "triton_mm_2671", "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"} 2025-09-07T09:44:56.1130134Z AUTOTUNE mm(512x1024, 1024x512) 2025-09-07T09:44:56.1130495Z strides: [1024, 1], [512, 1] 2025-09-07T09:44:56.1130796Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:56.1131095Z mm 0.0143 ms 100.0% 2025-09-07T09:44:56.1131825Z triton_mm_2671 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 2025-09-07T09:44:56.1133284Z triton_mm_2670 0.0174 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:44:56.1134496Z triton_mm_2664 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 2025-09-07T09:44:56.1135692Z triton_mm_2667 0.0184 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:44:56.1136890Z triton_mm_2674 0.0184 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:44:56.1138086Z triton_mm_2676 0.0195 ms 73.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:44:56.1141802Z triton_mm_2665 0.0205 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 2025-09-07T09:44:56.1143057Z triton_mm_2666 0.0205 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 2025-09-07T09:44:56.1144253Z triton_mm_2673 0.0205 ms 70.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:44:56.1145288Z SingleProcess AUTOTUNE benchmarking takes 0.2617 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:44:57.8954016Z Autotune Choices Stats: 2025-09-07T09:44:57.8955541Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.15462400019168854, "best_triton_pos": 1, "best_triton_time": 0.32153600454330444, "best_triton_kernel": "triton_mm_2441", "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"} 2025-09-07T09:44:57.8987611Z AUTOTUNE mm(1024x32128, 32128x512) 2025-09-07T09:44:57.8987978Z strides: [32128, 1], [512, 1] 2025-09-07T09:44:57.8988283Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:57.8988593Z mm 0.1546 ms 100.0% 2025-09-07T09:44:57.8989306Z triton_mm_2441 0.3215 ms 48.1% 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 2025-09-07T09:44:57.8990509Z triton_mm_2438 0.3625 ms 42.7% 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 2025-09-07T09:44:57.8991697Z triton_mm_2437 0.3912 ms 39.5% 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 2025-09-07T09:44:57.8992891Z triton_mm_2434 0.4035 ms 38.3% 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 2025-09-07T09:44:57.8994095Z triton_mm_2440 0.4096 ms 37.8% 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 2025-09-07T09:44:57.8995289Z triton_mm_2443 0.4393 ms 35.2% 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 2025-09-07T09:44:57.8996479Z triton_mm_2431 0.4506 ms 34.3% 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 2025-09-07T09:44:57.8997731Z triton_mm_2439 0.4946 ms 31.3% 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 2025-09-07T09:44:57.8998937Z triton_mm_2447 0.5069 ms 30.5% 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 2025-09-07T09:44:57.8999974Z SingleProcess AUTOTUNE benchmarking takes 0.6886 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:44:58.1997940Z Autotune Choices Stats: 2025-09-07T09:44:58.1999473Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.02252800017595291, "best_triton_pos": 1, "best_triton_time": 0.028672000393271446, "best_triton_kernel": "triton_mm_2513", "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"} 2025-09-07T09:44:58.2030736Z AUTOTUNE mm(1024x2048, 2048x512) 2025-09-07T09:44:58.2031122Z strides: [2048, 1], [512, 1] 2025-09-07T09:44:58.2034316Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:58.2034714Z mm 0.0225 ms 100.0% 2025-09-07T09:44:58.2035426Z triton_mm_2513 0.0287 ms 78.6% 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 2025-09-07T09:44:58.2036646Z triton_mm_2509 0.0328 ms 68.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:44:58.2037948Z triton_mm_2510 0.0328 ms 68.8% 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 2025-09-07T09:44:58.2039157Z triton_mm_2512 0.0338 ms 66.7% 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 2025-09-07T09:44:58.2040366Z triton_mm_2506 0.0348 ms 64.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:44:58.2041714Z triton_mm_2515 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=4, num_warps=8 2025-09-07T09:44:58.2042912Z triton_mm_2503 0.0379 ms 59.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:44:58.2044110Z triton_mm_2511 0.0410 ms 55.0% 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 2025-09-07T09:44:58.2045315Z triton_mm_2519 0.0410 ms 55.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:44:58.2046359Z SingleProcess AUTOTUNE benchmarking takes 0.3033 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:44:58.4464918Z Autotune Choices Stats: 2025-09-07T09:44:58.4466432Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.013311999849975109, "best_triton_pos": 1, "best_triton_time": 0.014336000196635723, "best_triton_kernel": "triton_mm_2545", "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"} 2025-09-07T09:44:58.4498698Z AUTOTUNE mm(1024x512, 512x512) 2025-09-07T09:44:58.4499026Z strides: [512, 1], [512, 1] 2025-09-07T09:44:58.4499335Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:58.4499632Z mm 0.0133 ms 100.0% 2025-09-07T09:44:58.4500346Z triton_mm_2545 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 2025-09-07T09:44:58.4501563Z triton_mm_2548 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 2025-09-07T09:44:58.4502780Z triton_mm_2549 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 2025-09-07T09:44:58.4503978Z triton_mm_2551 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 2025-09-07T09:44:58.4505180Z triton_mm_2546 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 2025-09-07T09:44:58.4506368Z triton_mm_2539 0.0164 ms 81.2% 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 2025-09-07T09:44:58.4507829Z triton_mm_2547 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=3, num_warps=4 2025-09-07T09:44:58.4509032Z triton_mm_2550 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 2025-09-07T09:44:58.4510237Z triton_mm_2554 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 2025-09-07T09:44:58.4511281Z SingleProcess AUTOTUNE benchmarking takes 0.2458 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:44:58.7218144Z Autotune Choices Stats: 2025-09-07T09:44:58.7219351Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_2573", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.027648000046610832, "best_triton_pos": 0} 2025-09-07T09:44:58.7253383Z AUTOTUNE bmm(8x1024x1024, 8x1024x64) 2025-09-07T09:44:58.7253729Z strides: [1048576, 1, 1024], [64, 512, 1] 2025-09-07T09:44:58.7254065Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:58.7254841Z triton_bmm_2573 0.0276 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:44:58.7256058Z triton_bmm_2567 0.0287 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:44:58.7257261Z triton_bmm_2570 0.0287 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:44:58.7258475Z triton_bmm_2572 0.0287 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:44:58.7259219Z bmm 0.0297 ms 93.1% 2025-09-07T09:44:58.7259920Z triton_bmm_2563 0.0297 ms 93.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:44:58.7261116Z triton_bmm_2566 0.0297 ms 93.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:44:58.7262317Z triton_bmm_2564 0.0307 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 2025-09-07T09:44:58.7263523Z triton_bmm_2568 0.0307 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=4, num_warps=4 2025-09-07T09:44:58.7264727Z triton_bmm_2558 0.0317 ms 87.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:44:58.7265762Z SingleProcess AUTOTUNE benchmarking takes 0.2744 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:44:58.9702254Z Autotune Choices Stats: 2025-09-07T09:44:58.9703414Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_bmm_2608", "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=5, num_warps=8", "best_time": 0.027648000046610832, "best_triton_pos": 0} 2025-09-07T09:44:58.9737966Z AUTOTUNE bmm(8x64x1024, 8x1024x1024) 2025-09-07T09:44:58.9738324Z strides: [64, 1, 512], [1048576, 1024, 1] 2025-09-07T09:44:58.9738675Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:58.9739659Z triton_bmm_2608 0.0276 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=5, num_warps=8 2025-09-07T09:44:58.9740885Z triton_bmm_2603 0.0287 ms 96.4% 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 2025-09-07T09:44:58.9742087Z triton_bmm_2604 0.0287 ms 96.4% 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 2025-09-07T09:44:58.9742841Z bmm 0.0297 ms 93.1% 2025-09-07T09:44:58.9743537Z triton_bmm_2600 0.0297 ms 93.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:44:58.9744733Z triton_bmm_2606 0.0297 ms 93.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:44:58.9745924Z triton_bmm_2601 0.0307 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 2025-09-07T09:44:58.9747251Z triton_bmm_2595 0.0317 ms 87.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:44:58.9748446Z triton_bmm_2596 0.0317 ms 87.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:44:58.9749645Z triton_bmm_2602 0.0317 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 2025-09-07T09:44:58.9750682Z SingleProcess AUTOTUNE benchmarking takes 0.2469 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T09:44:59.2209412Z Autotune Choices Stats: 2025-09-07T09:44:59.2210853Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.013311999849975109, "best_triton_pos": 1, "best_triton_time": 0.014336000196635723, "best_triton_kernel": "triton_mm_2688", "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"} 2025-09-07T09:44:59.2246957Z AUTOTUNE mm(1024x512, 512x512) 2025-09-07T09:44:59.2247258Z strides: [1, 1024], [512, 1] 2025-09-07T09:44:59.2247554Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:59.2247859Z mm 0.0133 ms 100.0% 2025-09-07T09:44:59.2248568Z triton_mm_2688 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 2025-09-07T09:44:59.2249910Z triton_mm_2691 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 2025-09-07T09:44:59.2251111Z triton_mm_2692 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 2025-09-07T09:44:59.2252296Z triton_mm_2694 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 2025-09-07T09:44:59.2253589Z triton_mm_2682 0.0154 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:44:59.2254782Z triton_mm_2689 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 2025-09-07T09:44:59.2256212Z triton_mm_2690 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=3, num_warps=4 2025-09-07T09:44:59.2257416Z triton_mm_2693 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 2025-09-07T09:44:59.2258619Z triton_mm_2697 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 2025-09-07T09:44:59.2259653Z SingleProcess AUTOTUNE benchmarking takes 0.2477 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:45:03.6501934Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T09:45:03.6503232Z pred = mod(**cloned_inputs) 2025-09-07T09:45:03.6503907Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward 2025-09-07T09:45:03.6504922Z decoder_outputs = self.decoder( 2025-09-07T09:45:03.6505611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward 2025-09-07T09:45:03.6506291Z layer_outputs = layer_module( 2025-09-07T09:45:03.6506912Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:45:03.6507556Z return super().__call__(*args, **kwargs) 2025-09-07T09:45:03.6508233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward 2025-09-07T09:45:03.6508924Z self_attention_outputs = self.layer[0]( 2025-09-07T09:45:03.6509608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward 2025-09-07T09:45:03.6510297Z attention_output = self.SelfAttention( 2025-09-07T09:45:03.6510960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 539, in forward 2025-09-07T09:45:03.6511640Z position_bias = self.compute_bias( 2025-09-07T09:45:03.6512336Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 463, in compute_bias 2025-09-07T09:45:03.6513311Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T09:45:03.6513812Z 2025-09-07T09:45:03.6513817Z 2025-09-07T09:45:04.7983521Z W0907 09:45:04.797000 27456 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:45:25.6067921Z pass 2025-09-07T09:45:31.0698133Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:45:31.0699563Z import pynvml # type: ignore[import] 2025-09-07T09:45:34.4292039Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:45:34.4293835Z from pkg_resources import resource_filename 2025-09-07T09:45:35.1174549Z 2025-09-07T09:45:37.0350757Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:45:37.0351122Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:45:37.0351449Z cuda train T5Small 2025-09-07T09:45:46.0797970Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T09:45:46.0799299Z pred = mod(**cloned_inputs) 2025-09-07T09:45:46.0799958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward 2025-09-07T09:45:46.0800642Z decoder_outputs = self.decoder( 2025-09-07T09:45:46.0801306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward 2025-09-07T09:45:46.0801973Z layer_outputs = layer_module( 2025-09-07T09:45:46.0802593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:45:46.0803255Z return super().__call__(*args, **kwargs) 2025-09-07T09:45:46.0803936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward 2025-09-07T09:45:46.0804609Z self_attention_outputs = self.layer[0]( 2025-09-07T09:45:46.0805290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward 2025-09-07T09:45:46.0806154Z attention_output = self.SelfAttention( 2025-09-07T09:45:46.0806834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 539, in forward 2025-09-07T09:45:46.0807512Z position_bias = self.compute_bias( 2025-09-07T09:45:46.0808193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 463, in compute_bias 2025-09-07T09:45:46.0809170Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T09:45:46.0809684Z 2025-09-07T09:45:46.0809689Z 2025-09-07T09:45:46.8064953Z W0907 09:45:46.805000 31638 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:45:52.2267075Z pass 2025-09-07T09:45:55.7602653Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:45:55.7604098Z import pynvml # type: ignore[import] 2025-09-07T09:45:59.1174411Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:45:59.1175966Z from pkg_resources import resource_filename 2025-09-07T09:45:59.9241190Z 2025-09-07T09:46:04.3029801Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:46:04.3030221Z loading model: 0it [00:04, ?it/s] 2025-09-07T09:46:04.3030558Z cuda train TrOCRForCausalLM 2025-09-07T09:46:04.3329722Z WARNING:common:fp64 golden ref were not generated for TrOCRForCausalLM. Setting accuracy check to cosine 2025-09-07T09:46:14.3045796Z Autotune Choices Stats: 2025-09-07T09:46:14.3047344Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.025599999353289604, "best_triton_pos": 1, "best_triton_time": 0.026623999699950218, "best_triton_kernel": "triton_mm_89", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T09:46:14.3081777Z AUTOTUNE addmm(256x4096, 256x1024, 1024x4096) 2025-09-07T09:46:14.3082162Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T09:46:14.3082524Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:46:14.3082900Z bias_addmm 0.0256 ms 100.0% 2025-09-07T09:46:14.3084769Z triton_mm_89 0.0266 ms 96.2% 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 2025-09-07T09:46:14.3085993Z triton_mm_83 0.0276 ms 92.6% 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 2025-09-07T09:46:14.3087179Z triton_mm_88 0.0276 ms 92.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:46:14.3088360Z triton_mm_79 0.0287 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:46:14.3089544Z triton_mm_80 0.0307 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 2025-09-07T09:46:14.3090720Z triton_mm_85 0.0307 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 2025-09-07T09:46:14.3092060Z triton_mm_82 0.0317 ms 80.6% 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 2025-09-07T09:46:14.3093048Z addmm 0.0328 ms 78.1% 2025-09-07T09:46:14.3093756Z triton_mm_81 0.0328 ms 78.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:46:14.3094783Z SingleProcess AUTOTUNE benchmarking takes 0.6015 seconds and 1.3803 seconds precompiling for 20 choices 2025-09-07T09:46:14.8450986Z Autotune Choices Stats: 2025-09-07T09:46:14.8452493Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "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"} 2025-09-07T09:46:14.8487587Z AUTOTUNE mm(256x1024, 1024x1024) 2025-09-07T09:46:14.8487902Z strides: [1024, 1], [1, 1024] 2025-09-07T09:46:14.8488199Z dtypes: torch.float16, torch.float16 2025-09-07T09:46:14.8488511Z mm 0.0143 ms 100.0% 2025-09-07T09:46:14.8489215Z 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 2025-09-07T09:46:14.8490405Z triton_mm_7 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 2025-09-07T09:46:14.8491582Z 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 2025-09-07T09:46:14.8492879Z 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 2025-09-07T09:46:14.8494063Z triton_mm_11 0.0184 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:46:14.8495231Z triton_mm_2 0.0205 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 2025-09-07T09:46:14.8496395Z triton_mm_3 0.0205 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 2025-09-07T09:46:14.8497824Z triton_mm_10 0.0205 ms 70.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:46:14.8499025Z triton_mm_13 0.0215 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 2025-09-07T09:46:14.8500058Z SingleProcess AUTOTUNE benchmarking takes 0.2725 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:46:16.1208323Z Autotune Choices Stats: 2025-09-07T09:46:16.1209852Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.014336000196635723, "best_triton_pos": 1, "best_triton_time": 0.01740800030529499, "best_triton_kernel": "triton_mm_25", "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"} 2025-09-07T09:46:16.1245176Z AUTOTUNE addmm(256x1024, 256x1024, 1024x1024) 2025-09-07T09:46:16.1245588Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T09:46:16.1245951Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:46:16.1246696Z bias_addmm 0.0143 ms 100.0% 2025-09-07T09:46:16.1247442Z triton_mm_25 0.0174 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:46:16.1248638Z triton_mm_19 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 2025-09-07T09:46:16.1249824Z triton_mm_22 0.0184 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:46:16.1251013Z triton_mm_29 0.0195 ms 73.7% 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 2025-09-07T09:46:16.1252191Z triton_mm_20 0.0205 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 2025-09-07T09:46:16.1253556Z triton_mm_21 0.0205 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 2025-09-07T09:46:16.1254732Z triton_mm_31 0.0215 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 2025-09-07T09:46:16.1255903Z triton_mm_35 0.0246 ms 58.3% 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 2025-09-07T09:46:16.1257090Z triton_mm_30 0.0266 ms 53.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:46:16.1258120Z SingleProcess AUTOTUNE benchmarking takes 0.3747 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:46:16.5291012Z Autotune Choices Stats: 2025-09-07T09:46:16.5292185Z {"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": 0.02969600073993206, "best_triton_pos": 0} 2025-09-07T09:46:16.5327355Z AUTOTUNE addmm(256x1024, 256x4096, 4096x1024) 2025-09-07T09:46:16.5327771Z strides: [0, 1], [4096, 1], [1, 4096] 2025-09-07T09:46:16.5328132Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:46:16.5328933Z triton_mm_98 0.0297 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 2025-09-07T09:46:16.5329930Z bias_addmm 0.0338 ms 87.9% 2025-09-07T09:46:16.5330219Z addmm 0.0338 ms 87.9% 2025-09-07T09:46:16.5330918Z triton_mm_97 0.0461 ms 64.4% 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 2025-09-07T09:46:16.5332113Z triton_mm_91 0.0512 ms 58.0% 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 2025-09-07T09:46:16.5333388Z triton_mm_101 0.0512 ms 58.0% 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 2025-09-07T09:46:16.5334572Z triton_mm_92 0.0573 ms 51.8% 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 2025-09-07T09:46:16.5335740Z triton_mm_93 0.0573 ms 51.8% 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 2025-09-07T09:46:16.5337051Z triton_mm_94 0.0573 ms 51.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:46:16.5338239Z triton_mm_100 0.0573 ms 51.8% 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 2025-09-07T09:46:16.5339263Z SingleProcess AUTOTUNE benchmarking takes 0.4047 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:46:20.2927335Z Autotune Choices Stats: 2025-09-07T09:46:20.2928614Z {"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": 0.15564799308776855, "best_triton_pos": 0} 2025-09-07T09:46:20.2965033Z AUTOTUNE mm(256x1024, 1024x50265) 2025-09-07T09:46:20.2965441Z strides: [1024, 1], [1, 1024] 2025-09-07T09:46:20.2965750Z dtypes: torch.float16, torch.float16 2025-09-07T09:46:20.2966528Z triton_mm_124 0.1556 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 2025-09-07T09:46:20.2967751Z triton_mm_119 0.1741 ms 89.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:46:20.2968946Z triton_mm_123 0.1823 ms 85.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:46:20.2970141Z triton_mm_117 0.1935 ms 80.4% 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 2025-09-07T09:46:20.2971328Z triton_mm_125 0.1966 ms 79.2% 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 2025-09-07T09:46:20.2972519Z triton_mm_118 0.2171 ms 71.7% 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 2025-09-07T09:46:20.2973878Z triton_mm_120 0.2171 ms 71.7% 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 2025-09-07T09:46:20.2975062Z triton_mm_121 0.2324 ms 67.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:46:20.2976593Z triton_mm_115 0.2386 ms 65.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:46:20.2977772Z triton_mm_114 0.2529 ms 61.5% 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 2025-09-07T09:46:20.2978797Z SingleProcess AUTOTUNE benchmarking takes 0.6581 seconds and 0.8833 seconds precompiling for 19 choices 2025-09-07T09:46:24.0854489Z Autotune Choices Stats: 2025-09-07T09:46:24.0856005Z {"num_choices": 24, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.13926400244235992, "best_triton_pos": 3, "best_triton_time": 0.3184640109539032, "best_triton_kernel": "triton_mm_152", "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"} 2025-09-07T09:46:24.0903133Z AUTOTUNE mm(256x50272, 50272x1024) 2025-09-07T09:46:24.0903489Z strides: [50304, 1], [1024, 1] 2025-09-07T09:46:24.0903824Z dtypes: torch.float16, torch.float16 2025-09-07T09:46:24.0904136Z mm 0.1393 ms 100.0% 2025-09-07T09:46:24.0904428Z decompose_k_mm_4_split_1 0.1772 ms 78.6% k_split=4 2025-09-07T09:46:24.0905165Z decompose_k_mm_2_split_0 0.3133 ms 44.4% k_split=2 2025-09-07T09:46:24.0905986Z triton_mm_152 0.3185 ms 43.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:46:24.0907195Z triton_mm_148 0.4076 ms 34.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:46:24.0908390Z triton_mm_151 0.4362 ms 31.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:46:24.0909184Z decompose_k_mm_16_split_3 0.4577 ms 30.4% k_split=16 2025-09-07T09:46:24.0909998Z triton_mm_155 0.5059 ms 27.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:46:24.0911196Z triton_mm_145 0.5315 ms 26.2% 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 2025-09-07T09:46:24.0912378Z triton_mm_146 0.5960 ms 23.4% 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 2025-09-07T09:46:24.0913398Z SingleProcess AUTOTUNE benchmarking takes 1.5442 seconds and 0.8116 seconds precompiling for 24 choices 2025-09-07T09:46:24.7859818Z Autotune Choices Stats: 2025-09-07T09:46:24.7861320Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.1454080045223236, "best_triton_pos": 1, "best_triton_time": 0.1730560064315796, "best_triton_kernel": "triton_mm_135", "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"} 2025-09-07T09:46:24.7899450Z AUTOTUNE mm(50272x256, 256x1024) 2025-09-07T09:46:24.7899786Z strides: [256, 1], [1024, 1] 2025-09-07T09:46:24.7900095Z dtypes: torch.float16, torch.float16 2025-09-07T09:46:24.7900421Z mm 0.1454 ms 100.0% 2025-09-07T09:46:24.7901114Z triton_mm_135 0.1731 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=3, num_warps=4 2025-09-07T09:46:24.7902319Z triton_mm_141 0.1741 ms 83.5% 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 2025-09-07T09:46:24.7903785Z triton_mm_142 0.1751 ms 83.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:46:24.7904984Z triton_mm_137 0.1894 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 2025-09-07T09:46:24.7906178Z triton_mm_138 0.1894 ms 76.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:46:24.7907366Z triton_mm_136 0.2120 ms 68.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:46:24.7908557Z triton_mm_140 0.2222 ms 65.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T09:46:24.7909746Z triton_mm_143 0.2335 ms 62.3% 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 2025-09-07T09:46:24.7910934Z triton_mm_132 0.2458 ms 59.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:46:24.7912102Z SingleProcess AUTOTUNE benchmarking takes 0.6562 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:46:28.1056332Z Autotune Choices Stats: 2025-09-07T09:46:28.1057813Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_191", "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": 0.021503999829292297, "best_triton_pos": 0} 2025-09-07T09:46:28.1099547Z AUTOTUNE mm(1024x256, 256x4096) 2025-09-07T09:46:28.1100098Z strides: [1, 1024], [4096, 1] 2025-09-07T09:46:28.1100837Z dtypes: torch.float16, torch.float16 2025-09-07T09:46:28.1101713Z triton_mm_191 0.0215 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 2025-09-07T09:46:28.1102945Z triton_mm_189 0.0225 ms 95.5% 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 2025-09-07T09:46:28.1104145Z triton_mm_195 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 2025-09-07T09:46:28.1105367Z triton_mm_196 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 2025-09-07T09:46:28.1106125Z mm 0.0246 ms 87.5% 2025-09-07T09:46:28.1106826Z triton_mm_190 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 2025-09-07T09:46:28.1108045Z triton_mm_192 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 2025-09-07T09:46:28.1109263Z triton_mm_193 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 2025-09-07T09:46:28.1110457Z triton_mm_186 0.0276 ms 77.8% 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 2025-09-07T09:46:28.1111660Z triton_mm_187 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 2025-09-07T09:46:28.1112701Z SingleProcess AUTOTUNE benchmarking takes 0.3453 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T09:46:28.8760997Z Autotune Choices Stats: 2025-09-07T09:46:28.8762384Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_227", "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} 2025-09-07T09:46:28.8803249Z AUTOTUNE mm(4096x256, 256x1024) 2025-09-07T09:46:28.8803729Z strides: [1, 4096], [1024, 1] 2025-09-07T09:46:28.8804091Z dtypes: torch.float16, torch.float16 2025-09-07T09:46:28.8804951Z triton_mm_227 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 2025-09-07T09:46:28.8806225Z triton_mm_228 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 2025-09-07T09:46:28.8807542Z triton_mm_231 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 2025-09-07T09:46:28.8808703Z mm 0.0236 ms 95.7% 2025-09-07T09:46:28.8809415Z triton_mm_229 0.0236 ms 95.7% 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 2025-09-07T09:46:28.8810681Z triton_mm_232 0.0236 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:46:28.8811945Z triton_mm_225 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 2025-09-07T09:46:28.8813485Z triton_mm_226 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 2025-09-07T09:46:28.8814745Z triton_mm_222 0.0287 ms 78.6% 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 2025-09-07T09:46:28.8815997Z triton_mm_223 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 2025-09-07T09:46:28.8817084Z SingleProcess AUTOTUNE benchmarking takes 0.3413 seconds and 0.4032 seconds precompiling for 19 choices 2025-09-07T09:46:29.7786008Z Autotune Choices Stats: 2025-09-07T09:46:29.7787539Z {"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_261", "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"} 2025-09-07T09:46:29.7837244Z AUTOTUNE mm(1024x256, 256x1024) 2025-09-07T09:46:29.7837540Z strides: [1, 1024], [1024, 1] 2025-09-07T09:46:29.7837863Z dtypes: torch.float16, torch.float16 2025-09-07T09:46:29.7838181Z mm 0.0133 ms 100.0% 2025-09-07T09:46:29.7838893Z triton_mm_261 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 2025-09-07T09:46:29.7840087Z triton_mm_263 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 2025-09-07T09:46:29.7841285Z triton_mm_264 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 2025-09-07T09:46:29.7842829Z triton_mm_267 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 2025-09-07T09:46:29.7844058Z triton_mm_268 0.0133 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 2025-09-07T09:46:29.7845279Z triton_mm_269 0.0133 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 2025-09-07T09:46:29.7846480Z triton_mm_259 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 2025-09-07T09:46:29.7847668Z triton_mm_262 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 2025-09-07T09:46:29.7848862Z triton_mm_265 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 2025-09-07T09:46:29.7850118Z SingleProcess AUTOTUNE benchmarking takes 0.2486 seconds and 0.6321 seconds precompiling for 19 choices 2025-09-07T09:46:30.1323541Z Autotune Choices Stats: 2025-09-07T09:46:30.1325059Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.02457600086927414, "best_triton_pos": 1, "best_triton_time": 0.02457600086927414, "best_triton_kernel": "triton_mm_173", "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"} 2025-09-07T09:46:30.1365884Z AUTOTUNE mm(256x1024, 1024x4096) 2025-09-07T09:46:30.1366208Z strides: [1024, 1], [4096, 1] 2025-09-07T09:46:30.1366573Z dtypes: torch.float16, torch.float16 2025-09-07T09:46:30.1366869Z mm 0.0246 ms 100.0% 2025-09-07T09:46:30.1367609Z triton_mm_173 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 2025-09-07T09:46:30.1368823Z triton_mm_179 0.0256 ms 96.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:46:30.1370013Z triton_mm_169 0.0276 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 2025-09-07T09:46:30.1371196Z triton_mm_178 0.0276 ms 88.9% 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 2025-09-07T09:46:30.1372370Z triton_mm_171 0.0287 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=3, num_warps=4 2025-09-07T09:46:30.1373770Z triton_mm_172 0.0287 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 2025-09-07T09:46:30.1374966Z triton_mm_175 0.0287 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 2025-09-07T09:46:30.1376153Z triton_mm_170 0.0297 ms 82.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:46:30.1377341Z triton_mm_177 0.0297 ms 82.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:46:30.1378379Z SingleProcess AUTOTUNE benchmarking takes 0.2854 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:46:30.7081221Z Autotune Choices Stats: 2025-09-07T09:46:30.7083096Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.013311999849975109, "best_triton_pos": 1, "best_triton_time": 0.014336000196635723, "best_triton_kernel": "triton_mm_350", "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"} 2025-09-07T09:46:30.7124624Z AUTOTUNE mm(256x1024, 1024x1024) 2025-09-07T09:46:30.7125011Z strides: [1024, 1], [1024, 1] 2025-09-07T09:46:30.7125325Z dtypes: torch.float16, torch.float16 2025-09-07T09:46:30.7125630Z mm 0.0133 ms 100.0% 2025-09-07T09:46:30.7126353Z triton_mm_350 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:46:30.7127570Z triton_mm_349 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:46:30.7128763Z triton_mm_353 0.0174 ms 76.5% 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 2025-09-07T09:46:30.7130263Z triton_mm_346 0.0184 ms 72.2% 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 2025-09-07T09:46:30.7131445Z triton_mm_343 0.0195 ms 68.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:46:30.7132857Z triton_mm_352 0.0195 ms 68.4% 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 2025-09-07T09:46:30.7134057Z triton_mm_355 0.0195 ms 68.4% 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 2025-09-07T09:46:30.7135245Z triton_mm_344 0.0205 ms 65.0% 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 2025-09-07T09:46:30.7136429Z triton_mm_345 0.0205 ms 65.0% 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 2025-09-07T09:46:30.7137458Z SingleProcess AUTOTUNE benchmarking takes 0.2666 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:46:32.2152966Z Autotune Choices Stats: 2025-09-07T09:46:32.2154500Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.026623999699950218, "best_triton_pos": 1, "best_triton_time": 0.03174399957060814, "best_triton_kernel": "triton_mm_206", "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"} 2025-09-07T09:46:32.2192905Z AUTOTUNE mm(256x4096, 4096x1024) 2025-09-07T09:46:32.2193235Z strides: [4096, 1], [1024, 1] 2025-09-07T09:46:32.2193539Z dtypes: torch.float16, torch.float16 2025-09-07T09:46:32.2193848Z mm 0.0266 ms 100.0% 2025-09-07T09:46:32.2194554Z triton_mm_206 0.0317 ms 83.9% 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 2025-09-07T09:46:32.2195735Z triton_mm_202 0.0420 ms 63.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:46:32.2196919Z triton_mm_205 0.0440 ms 60.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:46:32.2198495Z triton_mm_209 0.0481 ms 55.3% 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 2025-09-07T09:46:32.2199701Z triton_mm_199 0.0502 ms 53.1% 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 2025-09-07T09:46:32.2200886Z triton_mm_200 0.0563 ms 47.3% 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 2025-09-07T09:46:32.2202069Z triton_mm_201 0.0563 ms 47.3% 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 2025-09-07T09:46:32.2203253Z triton_mm_208 0.0594 ms 44.8% 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 2025-09-07T09:46:32.2204430Z triton_mm_211 0.0625 ms 42.6% 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 2025-09-07T09:46:32.2205605Z SingleProcess AUTOTUNE benchmarking takes 0.3664 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:46:33.5634101Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/trocr/modeling_trocr.py", line 64, in forward 2025-09-07T09:46:33.5635356Z return super().forward(position_ids + self.offset) 2025-09-07T09:46:33.5635624Z 2025-09-07T09:46:33.5635628Z 2025-09-07T09:46:33.8205663Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/trocr/modeling_trocr.py", line 78, in forward 2025-09-07T09:46:33.8206955Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:46:33.8207230Z 2025-09-07T09:46:33.8207234Z 2025-09-07T09:46:34.6392784Z pass 2025-09-07T09:46:38.4370427Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:46:38.4371876Z import pynvml # type: ignore[import] 2025-09-07T09:46:41.8017357Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:46:41.8018930Z from pkg_resources import resource_filename 2025-09-07T09:46:42.4846867Z 2025-09-07T09:46:53.3033503Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:46:53.3033916Z loading model: 0it [00:10, ?it/s] 2025-09-07T09:46:53.3034250Z cuda train XGLMForCausalLM 2025-09-07T09:46:53.3398428Z WARNING:common:fp64 golden ref were not generated for XGLMForCausalLM. Setting accuracy check to cosine 2025-09-07T09:46:59.3557438Z skipping cudagraphs due to mutated inputs (1 instances). Found from : 2025-09-07T09:46:59.3558319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xglm/modeling_xglm.py", line 94, in forward 2025-09-07T09:46:59.3559023Z position_ids += self.offset 2025-09-07T09:46:59.3559229Z 2025-09-07T09:47:03.3881160Z Autotune Choices Stats: 2025-09-07T09:47:03.3882392Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_55", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T09:47:03.3921499Z AUTOTUNE bmm(16x128x64, 16x64x128) 2025-09-07T09:47:03.3921821Z strides: [64, 1024, 1], [64, 1, 1024] 2025-09-07T09:47:03.3922143Z dtypes: torch.float16, torch.float16 2025-09-07T09:47:03.3922927Z triton_bmm_55 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:47:03.3924124Z triton_bmm_58 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:47:03.3925317Z triton_bmm_61 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 2025-09-07T09:47:03.3926501Z triton_bmm_62 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=5, num_warps=4 2025-09-07T09:47:03.3927237Z bmm 0.0092 ms 88.9% 2025-09-07T09:47:03.3927925Z triton_bmm_54 0.0092 ms 88.9% 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 2025-09-07T09:47:03.3929269Z triton_bmm_56 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 2025-09-07T09:47:03.3930454Z triton_bmm_57 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:47:03.3931625Z triton_bmm_59 0.0092 ms 88.9% 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 2025-09-07T09:47:03.3933023Z triton_bmm_60 0.0092 ms 88.9% 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 2025-09-07T09:47:03.3934037Z SingleProcess AUTOTUNE benchmarking takes 0.2591 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:47:03.6305506Z Autotune Choices Stats: 2025-09-07T09:47:03.6306705Z {"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": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T09:47:03.6346492Z AUTOTUNE bmm(16x128x128, 16x128x64) 2025-09-07T09:47:03.6346851Z strides: [16384, 128, 1], [64, 1024, 1] 2025-09-07T09:47:03.6347174Z dtypes: torch.float16, torch.float16 2025-09-07T09:47:03.6347946Z triton_bmm_84 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=4 2025-09-07T09:47:03.6349166Z triton_bmm_74 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 2025-09-07T09:47:03.6357145Z triton_bmm_75 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 2025-09-07T09:47:03.6358535Z triton_bmm_76 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:47:03.6359746Z triton_bmm_77 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 2025-09-07T09:47:03.6360937Z triton_bmm_80 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 2025-09-07T09:47:03.6362369Z triton_bmm_81 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 2025-09-07T09:47:03.6363569Z triton_bmm_82 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:47:03.6364738Z triton_bmm_83 0.0092 ms 88.9% 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=4, num_warps=8 2025-09-07T09:47:03.6365926Z triton_bmm_85 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=4, num_warps=4 2025-09-07T09:47:03.6366958Z SingleProcess AUTOTUNE benchmarking takes 0.2420 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:47:06.6323152Z Autotune Choices Stats: 2025-09-07T09:47:06.6324703Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.48947200179100037, "best_triton_pos": 1, "best_triton_time": 0.4904960095882416, "best_triton_kernel": "triton_mm_162", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T09:47:06.6366252Z AUTOTUNE mm(128x1024, 1024x256008) 2025-09-07T09:47:06.6366596Z strides: [1024, 1], [1, 1024] 2025-09-07T09:47:06.6366885Z dtypes: torch.float16, torch.float16 2025-09-07T09:47:06.6367192Z mm 0.4895 ms 100.0% 2025-09-07T09:47:06.6367901Z triton_mm_162 0.4905 ms 99.8% 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 2025-09-07T09:47:06.6369118Z triton_mm_161 0.4915 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:47:06.6370315Z triton_mm_156 0.5110 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:47:06.6371504Z triton_mm_152 0.5837 ms 83.9% 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 2025-09-07T09:47:06.6372856Z triton_mm_158 0.6267 ms 78.1% 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 2025-09-07T09:47:06.6374052Z triton_mm_160 0.6533 ms 74.9% 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 2025-09-07T09:47:06.6375245Z triton_mm_154 0.6687 ms 73.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:47:06.6376431Z triton_mm_155 0.6717 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 2025-09-07T09:47:06.6377626Z triton_mm_153 0.7035 ms 69.6% 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 2025-09-07T09:47:06.6378661Z SingleProcess AUTOTUNE benchmarking takes 0.7154 seconds and 0.7389 seconds precompiling for 19 choices 2025-09-07T09:47:08.8119438Z Autotune Choices Stats: 2025-09-07T09:47:08.8121280Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.5406720042228699, "best_triton_pos": 1, "best_triton_time": 0.5713919997215271, "best_triton_kernel": "triton_mm_178", "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"} 2025-09-07T09:47:08.8163859Z AUTOTUNE mm(256008x128, 128x1024) 2025-09-07T09:47:08.8164208Z strides: [1, 256064], [1024, 1] 2025-09-07T09:47:08.8164500Z dtypes: torch.float16, torch.float16 2025-09-07T09:47:08.8164811Z mm 0.5407 ms 100.0% 2025-09-07T09:47:08.8165520Z triton_mm_178 0.5714 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 2025-09-07T09:47:08.8166723Z triton_mm_172 0.5960 ms 90.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:47:08.8167916Z triton_mm_179 0.6226 ms 86.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:47:08.8169096Z triton_mm_175 0.6287 ms 86.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:47:08.8170469Z triton_mm_174 0.6687 ms 80.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:47:08.8171659Z triton_mm_177 0.6943 ms 77.9% 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 2025-09-07T09:47:08.8173126Z triton_mm_169 0.7414 ms 72.9% 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 2025-09-07T09:47:08.8174322Z triton_mm_173 0.7649 ms 70.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:47:08.8175513Z triton_mm_176 0.7670 ms 70.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:47:08.8176544Z SingleProcess AUTOTUNE benchmarking takes 0.7399 seconds and 0.2955 seconds precompiling for 19 choices 2025-09-07T09:47:11.1480114Z Autotune Choices Stats: 2025-09-07T09:47:11.1481600Z {"num_choices": 26, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.5580800175666809, "best_triton_pos": 2, "best_triton_time": 1.0147839784622192, "best_triton_kernel": "triton_mm_185", "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"} 2025-09-07T09:47:11.1535960Z AUTOTUNE mm(128x256008, 256008x1024) 2025-09-07T09:47:11.1536309Z strides: [256064, 1], [1024, 1] 2025-09-07T09:47:11.1536647Z dtypes: torch.float16, torch.float16 2025-09-07T09:47:11.1536961Z mm 0.5581 ms 100.0% 2025-09-07T09:47:11.1537283Z decompose_k_mm_3_split_1 0.5837 ms 95.6% k_split=3 2025-09-07T09:47:11.1538102Z triton_mm_185 1.0148 ms 55.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:47:11.1538924Z decompose_k_mm_6_split_3 1.1151 ms 50.0% k_split=6 2025-09-07T09:47:11.1539340Z decompose_k_mm_12_split_5 1.1500 ms 48.5% k_split=12 2025-09-07T09:47:11.1540153Z triton_mm_189 1.5739 ms 35.5% 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 2025-09-07T09:47:11.1541342Z triton_mm_183 1.7244 ms 32.4% 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 2025-09-07T09:47:11.1542827Z triton_mm_184 1.8811 ms 29.7% 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 2025-09-07T09:47:11.1544026Z triton_mm_188 2.1740 ms 25.7% 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 2025-09-07T09:47:11.1545219Z triton_mm_182 2.1832 ms 25.6% 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 2025-09-07T09:47:11.1546258Z SingleProcess AUTOTUNE benchmarking takes 2.0349 seconds and 0.0002 seconds precompiling for 26 choices 2025-09-07T09:47:15.2988374Z Autotune Choices Stats: 2025-09-07T09:47:15.2989614Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_438", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T09:47:15.3034251Z AUTOTUNE mm(1024x128, 128x1024) 2025-09-07T09:47:15.3034615Z strides: [128, 1], [1024, 1] 2025-09-07T09:47:15.3035219Z dtypes: torch.float16, torch.float16 2025-09-07T09:47:15.3036006Z triton_mm_438 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:47:15.3037300Z triton_mm_440 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 2025-09-07T09:47:15.3038507Z triton_mm_441 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 2025-09-07T09:47:15.3039714Z triton_mm_442 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 2025-09-07T09:47:15.3040917Z triton_mm_444 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 2025-09-07T09:47:15.3042119Z triton_mm_445 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 2025-09-07T09:47:15.3043318Z triton_mm_447 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 2025-09-07T09:47:15.3044526Z triton_mm_448 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 2025-09-07T09:47:15.3045269Z mm 0.0123 ms 91.7% 2025-09-07T09:47:15.3045964Z triton_mm_436 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 2025-09-07T09:47:15.3046991Z SingleProcess AUTOTUNE benchmarking takes 0.2404 seconds and 0.6538 seconds precompiling for 19 choices 2025-09-07T09:47:15.9824661Z Autotune Choices Stats: 2025-09-07T09:47:15.9825866Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_308", "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} 2025-09-07T09:47:15.9872001Z AUTOTUNE bmm(16x128x128, 16x128x64) 2025-09-07T09:47:15.9872402Z strides: [16384, 1, 128], [64, 1024, 1] 2025-09-07T09:47:15.9872737Z dtypes: torch.float16, torch.float16 2025-09-07T09:47:15.9873518Z triton_bmm_308 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 2025-09-07T09:47:15.9875039Z triton_bmm_309 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 2025-09-07T09:47:15.9876262Z triton_bmm_310 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 2025-09-07T09:47:15.9877560Z triton_bmm_311 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 2025-09-07T09:47:15.9878772Z triton_bmm_314 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 2025-09-07T09:47:15.9879989Z triton_bmm_315 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 2025-09-07T09:47:15.9881198Z triton_bmm_316 0.0092 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 2025-09-07T09:47:15.9882584Z triton_bmm_317 0.0092 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 2025-09-07T09:47:15.9883773Z triton_bmm_318 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=4 2025-09-07T09:47:15.9884977Z triton_bmm_319 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=4, num_warps=4 2025-09-07T09:47:15.9886020Z SingleProcess AUTOTUNE benchmarking takes 0.2349 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:47:16.1953046Z Autotune Choices Stats: 2025-09-07T09:47:16.1954227Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_bmm_345", "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} 2025-09-07T09:47:16.1999448Z AUTOTUNE bmm(16x64x128, 16x128x128) 2025-09-07T09:47:16.1999842Z strides: [64, 1, 1024], [16384, 128, 1] 2025-09-07T09:47:16.2000169Z dtypes: torch.float16, torch.float16 2025-09-07T09:47:16.2000929Z triton_bmm_345 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 2025-09-07T09:47:16.2002136Z triton_bmm_346 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 2025-09-07T09:47:16.2003347Z triton_bmm_347 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 2025-09-07T09:47:16.2004561Z triton_bmm_348 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 2025-09-07T09:47:16.2005761Z triton_bmm_351 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 2025-09-07T09:47:16.2006959Z triton_bmm_352 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 2025-09-07T09:47:16.2008337Z triton_bmm_354 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 2025-09-07T09:47:16.2009542Z triton_bmm_355 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 2025-09-07T09:47:16.2010748Z triton_bmm_356 0.0092 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 2025-09-07T09:47:16.2011945Z triton_bmm_357 0.0092 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 2025-09-07T09:47:16.2013166Z SingleProcess AUTOTUNE benchmarking takes 0.2094 seconds and 0.0003 seconds precompiling for 17 choices 2025-09-07T09:47:16.4566112Z Autotune Choices Stats: 2025-09-07T09:47:16.4567325Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_418", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T09:47:16.4611819Z AUTOTUNE mm(128x1024, 1024x1024) 2025-09-07T09:47:16.4612203Z strides: [1, 128], [1024, 1] 2025-09-07T09:47:16.4612489Z dtypes: torch.float16, torch.float16 2025-09-07T09:47:16.4613452Z triton_mm_418 0.0133 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 2025-09-07T09:47:16.4614660Z triton_mm_422 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 2025-09-07T09:47:16.4615419Z mm 0.0143 ms 92.9% 2025-09-07T09:47:16.4616116Z triton_mm_416 0.0154 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:47:16.4617293Z triton_mm_417 0.0154 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:47:16.4618481Z triton_mm_421 0.0174 ms 76.5% 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 2025-09-07T09:47:16.4619662Z triton_mm_425 0.0174 ms 76.5% 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 2025-09-07T09:47:16.4620851Z triton_mm_415 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 2025-09-07T09:47:16.4622047Z triton_mm_424 0.0195 ms 68.4% 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 2025-09-07T09:47:16.4623228Z triton_mm_427 0.0195 ms 68.4% 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 2025-09-07T09:47:16.4624265Z SingleProcess AUTOTUNE benchmarking takes 0.2608 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:47:17.6460872Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xglm/modeling_xglm.py", line 49, in forward 2025-09-07T09:47:17.6462128Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:47:17.6462420Z 2025-09-07T09:47:17.6462425Z 2025-09-07T09:47:19.9694744Z pass 2025-09-07T09:47:23.7474061Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:47:23.7475529Z import pynvml # type: ignore[import] 2025-09-07T09:47:27.1141183Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:47:27.1142758Z from pkg_resources import resource_filename 2025-09-07T09:47:27.8061830Z 2025-09-07T09:47:32.8957526Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:47:32.8957918Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:47:32.8958255Z cuda train XLNetLMHeadModel 2025-09-07T09:48:30.9446956Z Autotune Choices Stats: 2025-09-07T09:48:30.9448508Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.03276799991726875, "best_triton_pos": 1, "best_triton_time": 0.03481600061058998, "best_triton_kernel": "triton_mm_157", "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"} 2025-09-07T09:48:30.9497481Z AUTOTUNE addmm(512x4096, 512x1024, 1024x4096) 2025-09-07T09:48:30.9497839Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T09:48:30.9498199Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:48:30.9498574Z bias_addmm 0.0328 ms 100.0% 2025-09-07T09:48:30.9499304Z triton_mm_157 0.0348 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:48:30.9500501Z triton_mm_158 0.0369 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 2025-09-07T09:48:30.9501707Z triton_mm_155 0.0389 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:48:30.9502465Z addmm 0.0410 ms 80.0% 2025-09-07T09:48:30.9503167Z triton_mm_156 0.0410 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 2025-09-07T09:48:30.9504355Z triton_mm_162 0.0410 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:48:30.9505542Z triton_mm_153 0.0420 ms 78.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:48:30.9506713Z triton_mm_152 0.0430 ms 76.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:48:30.9507898Z triton_mm_159 0.0440 ms 74.4% 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 2025-09-07T09:48:30.9508934Z SingleProcess AUTOTUNE benchmarking takes 0.3652 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:48:31.9916655Z Autotune Choices Stats: 2025-09-07T09:48:31.9918210Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.015359999611973763, "best_triton_pos": 1, "best_triton_time": 0.018432000651955605, "best_triton_kernel": "triton_mm_193", "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"} 2025-09-07T09:48:31.9965572Z AUTOTUNE mm(512x1024, 1024x1024) 2025-09-07T09:48:31.9965957Z strides: [1024, 1], [1024, 1] 2025-09-07T09:48:31.9966582Z dtypes: torch.float16, torch.float16 2025-09-07T09:48:31.9966886Z mm 0.0154 ms 100.0% 2025-09-07T09:48:31.9967604Z triton_mm_193 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 2025-09-07T09:48:31.9968818Z triton_mm_195 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 2025-09-07T09:48:31.9969999Z triton_mm_189 0.0205 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 2025-09-07T09:48:31.9971179Z triton_mm_192 0.0205 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 2025-09-07T09:48:31.9972362Z triton_mm_183 0.0225 ms 68.2% 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 2025-09-07T09:48:31.9973892Z triton_mm_190 0.0225 ms 68.2% 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 2025-09-07T09:48:31.9975081Z triton_mm_186 0.0236 ms 65.2% 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 2025-09-07T09:48:31.9976272Z triton_mm_199 0.0236 ms 65.2% 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 2025-09-07T09:48:31.9977461Z triton_mm_191 0.0246 ms 62.5% 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 2025-09-07T09:48:31.9978494Z SingleProcess AUTOTUNE benchmarking takes 0.2769 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:48:33.3097498Z Autotune Choices Stats: 2025-09-07T09:48:33.3099041Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.021503999829292297, "best_triton_pos": 1, "best_triton_time": 0.023552000522613525, "best_triton_kernel": "triton_mm_65", "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"} 2025-09-07T09:48:33.3144161Z AUTOTUNE mm(1024x1024, 1024x1024) 2025-09-07T09:48:33.3144498Z strides: [1024, 1], [1024, 1] 2025-09-07T09:48:33.3144806Z dtypes: torch.float16, torch.float16 2025-09-07T09:48:33.3145102Z mm 0.0215 ms 100.0% 2025-09-07T09:48:33.3145808Z triton_mm_65 0.0236 ms 91.3% 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 2025-09-07T09:48:33.3147012Z triton_mm_71 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=5, num_warps=8 2025-09-07T09:48:33.3148210Z triton_mm_63 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=3, num_warps=4 2025-09-07T09:48:33.3149389Z triton_mm_70 0.0266 ms 80.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:48:33.3150568Z triton_mm_61 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 2025-09-07T09:48:33.3151721Z triton_mm_64 0.0287 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 2025-09-07T09:48:33.3153200Z triton_mm_66 0.0287 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 2025-09-07T09:48:33.3154387Z triton_mm_67 0.0287 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=4, num_warps=8 2025-09-07T09:48:33.3155570Z triton_mm_69 0.0287 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=3, num_warps=4 2025-09-07T09:48:33.3156592Z SingleProcess AUTOTUNE benchmarking takes 0.2884 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:48:33.5803787Z Autotune Choices Stats: 2025-09-07T09:48:33.5804996Z {"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": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T09:48:33.5851052Z AUTOTUNE bmm(16x512x64, 16x64x512) 2025-09-07T09:48:33.5851384Z strides: [64, 1024, 1], [64, 1, 1024] 2025-09-07T09:48:33.5851690Z dtypes: torch.float16, torch.float16 2025-09-07T09:48:33.5852460Z triton_bmm_79 0.0164 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 2025-09-07T09:48:33.5853969Z triton_bmm_80 0.0164 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 2025-09-07T09:48:33.5855168Z triton_bmm_81 0.0164 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 2025-09-07T09:48:33.5856379Z triton_bmm_83 0.0164 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 2025-09-07T09:48:33.5857584Z triton_bmm_84 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:48:33.5858789Z triton_bmm_85 0.0164 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 2025-09-07T09:48:33.5859962Z triton_bmm_76 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:48:33.5861142Z triton_bmm_78 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:48:33.5862334Z triton_bmm_82 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:48:33.5863527Z triton_bmm_86 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:48:33.5864560Z SingleProcess AUTOTUNE benchmarking takes 0.2693 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:48:33.8690787Z Autotune Choices Stats: 2025-09-07T09:48:33.8691959Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_98", "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": 0.02252800017595291, "best_triton_pos": 0} 2025-09-07T09:48:33.8738240Z AUTOTUNE bmm(16x512x64, 16x64x1024) 2025-09-07T09:48:33.8738572Z strides: [64, 1024, 1], [64, 1, 1024] 2025-09-07T09:48:33.8739180Z dtypes: torch.float16, torch.float16 2025-09-07T09:48:33.8739948Z triton_bmm_98 0.0225 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 2025-09-07T09:48:33.8741159Z triton_bmm_99 0.0225 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 2025-09-07T09:48:33.8742357Z triton_bmm_100 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 2025-09-07T09:48:33.8743558Z triton_bmm_102 0.0236 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 2025-09-07T09:48:33.8744766Z triton_bmm_103 0.0236 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=4, num_warps=4 2025-09-07T09:48:33.8745962Z triton_bmm_101 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 2025-09-07T09:48:33.8747306Z triton_bmm_104 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 2025-09-07T09:48:33.8748508Z triton_bmm_107 0.0246 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 2025-09-07T09:48:33.8749719Z triton_bmm_105 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 2025-09-07T09:48:33.8750915Z triton_bmm_108 0.0256 ms 88.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:48:33.8751960Z SingleProcess AUTOTUNE benchmarking takes 0.2882 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:48:34.1355429Z Autotune Choices Stats: 2025-09-07T09:48:34.1356605Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_111", "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": 0.01945599913597107, "best_triton_pos": 0} 2025-09-07T09:48:34.1405215Z AUTOTUNE bmm(16x512x512, 16x512x64) 2025-09-07T09:48:34.1405587Z strides: [262144, 512, 1], [64, 1024, 1] 2025-09-07T09:48:34.1405905Z dtypes: torch.float16, torch.float16 2025-09-07T09:48:34.1406703Z triton_bmm_111 0.0195 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 2025-09-07T09:48:34.1407923Z triton_bmm_117 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 2025-09-07T09:48:34.1409137Z triton_bmm_121 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=4 2025-09-07T09:48:34.1410338Z triton_bmm_126 0.0195 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:48:34.1411549Z triton_bmm_127 0.0195 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:48:34.1413157Z triton_bmm_120 0.0205 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:48:34.1414367Z triton_bmm_124 0.0205 ms 95.0% 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 2025-09-07T09:48:34.1415145Z bmm 0.0215 ms 90.5% 2025-09-07T09:48:34.1415843Z triton_bmm_112 0.0215 ms 90.5% 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 2025-09-07T09:48:34.1417036Z triton_bmm_118 0.0215 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:48:34.1418068Z SingleProcess AUTOTUNE benchmarking takes 0.2662 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:48:34.5529280Z Autotune Choices Stats: 2025-09-07T09:48:34.5530771Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.03686400130391121, "best_triton_pos": 2, "best_triton_time": 0.05222399905323982, "best_triton_kernel": "triton_mm_175", "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"} 2025-09-07T09:48:34.5579544Z AUTOTUNE addmm(512x1024, 512x4096, 4096x1024) 2025-09-07T09:48:34.5579918Z strides: [0, 1], [4096, 1], [1, 4096] 2025-09-07T09:48:34.5580280Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:48:34.5580652Z bias_addmm 0.0369 ms 100.0% 2025-09-07T09:48:34.5580924Z addmm 0.0430 ms 85.7% 2025-09-07T09:48:34.5581639Z triton_mm_175 0.0522 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 2025-09-07T09:48:34.5582845Z triton_mm_172 0.0543 ms 67.9% 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 2025-09-07T09:48:34.5584035Z triton_mm_174 0.0573 ms 64.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:48:34.5585218Z triton_mm_171 0.0584 ms 63.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:48:34.5586406Z triton_mm_177 0.0594 ms 62.1% 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 2025-09-07T09:48:34.5587596Z triton_mm_165 0.0676 ms 54.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:48:34.5588782Z triton_mm_180 0.0758 ms 48.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:48:34.5589978Z triton_mm_176 0.0788 ms 46.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:48:34.5591007Z SingleProcess AUTOTUNE benchmarking takes 0.4144 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:48:35.6737552Z Autotune Choices Stats: 2025-09-07T09:48:35.6739032Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.16486400365829468, "best_triton_pos": 1, "best_triton_time": 0.17817600071430206, "best_triton_kernel": "triton_mm_4384", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:48:35.6788345Z AUTOTUNE addmm(512x32000, 512x1024, 1024x32000) 2025-09-07T09:48:35.6789023Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T09:48:35.6789393Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:48:35.6789776Z bias_addmm 0.1649 ms 100.0% 2025-09-07T09:48:35.6790522Z triton_mm_4384 0.1782 ms 92.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:48:35.6791727Z triton_mm_4383 0.1966 ms 83.9% 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 2025-09-07T09:48:35.6792484Z addmm 0.2048 ms 80.5% 2025-09-07T09:48:35.6793193Z triton_mm_4377 0.2150 ms 76.7% 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 2025-09-07T09:48:35.6794387Z triton_mm_4379 0.2161 ms 76.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:48:35.6795592Z triton_mm_4380 0.2212 ms 74.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:48:35.6796923Z triton_mm_4385 0.2355 ms 70.0% 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 2025-09-07T09:48:35.6798175Z triton_mm_4378 0.2642 ms 62.4% 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 2025-09-07T09:48:35.6799370Z triton_mm_4381 0.2765 ms 59.6% 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 2025-09-07T09:48:35.6800409Z SingleProcess AUTOTUNE benchmarking takes 0.7041 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:49:13.9176621Z Autotune Choices Stats: 2025-09-07T09:49:13.9178139Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.1515520066022873, "best_triton_pos": 1, "best_triton_time": 0.17612800002098083, "best_triton_kernel": "triton_mm_4419", "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"} 2025-09-07T09:49:13.9231553Z AUTOTUNE mm(32000x512, 512x1024) 2025-09-07T09:49:13.9231884Z strides: [1, 32000], [1024, 1] 2025-09-07T09:49:13.9232192Z dtypes: torch.float16, torch.float16 2025-09-07T09:49:13.9232489Z mm 0.1516 ms 100.0% 2025-09-07T09:49:13.9233211Z triton_mm_4419 0.1761 ms 86.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:13.9234450Z triton_mm_4420 0.1925 ms 78.7% 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 2025-09-07T09:49:13.9235656Z triton_mm_4413 0.1976 ms 76.7% 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 2025-09-07T09:49:13.9236847Z triton_mm_4415 0.2058 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 2025-09-07T09:49:13.9238093Z triton_mm_4416 0.2068 ms 73.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:13.9239284Z triton_mm_4421 0.2324 ms 65.2% 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 2025-09-07T09:49:13.9240783Z triton_mm_4414 0.2386 ms 63.5% 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 2025-09-07T09:49:13.9241991Z triton_mm_4418 0.2468 ms 61.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T09:49:13.9243197Z triton_mm_4417 0.2560 ms 59.2% 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 2025-09-07T09:49:13.9244235Z SingleProcess AUTOTUNE benchmarking takes 0.6680 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T09:49:14.5402636Z Autotune Choices Stats: 2025-09-07T09:49:14.5403889Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_4451", "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": 0.03174399957060814, "best_triton_pos": 0} 2025-09-07T09:49:14.5455760Z AUTOTUNE mm(1024x512, 512x4096) 2025-09-07T09:49:14.5456112Z strides: [1, 1024], [4096, 1] 2025-09-07T09:49:14.5456424Z dtypes: torch.float16, torch.float16 2025-09-07T09:49:14.5457200Z triton_mm_4451 0.0317 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 2025-09-07T09:49:14.5457968Z mm 0.0328 ms 96.9% 2025-09-07T09:49:14.5458675Z triton_mm_4456 0.0328 ms 96.9% 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 2025-09-07T09:49:14.5459976Z triton_mm_4455 0.0338 ms 93.9% 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 2025-09-07T09:49:14.5461207Z triton_mm_4449 0.0348 ms 91.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:14.5462412Z triton_mm_4450 0.0358 ms 88.6% 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 2025-09-07T09:49:14.5463593Z triton_mm_4452 0.0358 ms 88.6% 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 2025-09-07T09:49:14.5464793Z triton_mm_4453 0.0358 ms 88.6% 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 2025-09-07T09:49:14.5466000Z triton_mm_4457 0.0389 ms 81.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:49:14.5467207Z triton_mm_4447 0.0430 ms 73.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:49:14.5468243Z SingleProcess AUTOTUNE benchmarking takes 0.3112 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:49:14.8804479Z Autotune Choices Stats: 2025-09-07T09:49:14.8805999Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.03174399957060814, "best_triton_pos": 1, "best_triton_time": 0.03276799991726875, "best_triton_kernel": "triton_mm_4487", "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"} 2025-09-07T09:49:14.8856426Z AUTOTUNE mm(4096x512, 512x1024) 2025-09-07T09:49:14.8856741Z strides: [1, 4096], [1024, 1] 2025-09-07T09:49:14.8857047Z dtypes: torch.float16, torch.float16 2025-09-07T09:49:14.8857693Z mm 0.0317 ms 100.0% 2025-09-07T09:49:14.8858415Z triton_mm_4487 0.0328 ms 96.9% 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 2025-09-07T09:49:14.8859651Z triton_mm_4491 0.0328 ms 96.9% 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 2025-09-07T09:49:14.8860868Z triton_mm_4492 0.0338 ms 93.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:14.8862074Z triton_mm_4485 0.0348 ms 91.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:14.8863286Z triton_mm_4488 0.0348 ms 91.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:14.8864486Z triton_mm_4486 0.0358 ms 88.6% 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 2025-09-07T09:49:14.8867264Z triton_mm_4489 0.0358 ms 88.6% 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 2025-09-07T09:49:14.8868472Z triton_mm_4493 0.0389 ms 81.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:49:14.8869673Z triton_mm_4483 0.0440 ms 72.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:49:14.8870711Z SingleProcess AUTOTUNE benchmarking takes 0.3138 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:49:15.7722596Z Autotune Choices Stats: 2025-09-07T09:49:15.7724120Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.030719999223947525, "best_triton_pos": 1, "best_triton_time": 0.03379200026392937, "best_triton_kernel": "triton_mm_4431", "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"} 2025-09-07T09:49:15.7774224Z AUTOTUNE mm(512x1024, 1024x4096) 2025-09-07T09:49:15.7774557Z strides: [1024, 1], [4096, 1] 2025-09-07T09:49:15.7774864Z dtypes: torch.float16, torch.float16 2025-09-07T09:49:15.7775162Z mm 0.0307 ms 100.0% 2025-09-07T09:49:15.7775877Z triton_mm_4431 0.0338 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 2025-09-07T09:49:15.7777094Z triton_mm_4433 0.0338 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:15.7778299Z triton_mm_4434 0.0369 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 2025-09-07T09:49:15.7779492Z triton_mm_4432 0.0389 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 2025-09-07T09:49:15.7780692Z triton_mm_4438 0.0389 ms 78.9% 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 2025-09-07T09:49:15.7781896Z triton_mm_4429 0.0410 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 2025-09-07T09:49:15.7783380Z triton_mm_4435 0.0410 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=4, num_warps=8 2025-09-07T09:49:15.7784595Z triton_mm_4437 0.0410 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=3, num_warps=4 2025-09-07T09:49:15.7785805Z triton_mm_4439 0.0440 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 2025-09-07T09:49:15.7786849Z SingleProcess AUTOTUNE benchmarking takes 0.3148 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:49:17.0021540Z Autotune Choices Stats: 2025-09-07T09:49:17.0023051Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.02252800017595291, "best_triton_pos": 1, "best_triton_time": 0.02457600086927414, "best_triton_kernel": "triton_mm_4646", "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"} 2025-09-07T09:49:17.0076452Z AUTOTUNE mm(1024x1024, 1024x1024) 2025-09-07T09:49:17.0076833Z strides: [1, 1024], [1, 1024] 2025-09-07T09:49:17.0077208Z dtypes: torch.float16, torch.float16 2025-09-07T09:49:17.0077511Z mm 0.0225 ms 100.0% 2025-09-07T09:49:17.0078233Z triton_mm_4646 0.0246 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 2025-09-07T09:49:17.0079453Z triton_mm_4652 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=5, num_warps=8 2025-09-07T09:49:17.0080683Z triton_mm_4651 0.0256 ms 88.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:17.0081887Z triton_mm_4642 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 2025-09-07T09:49:17.0083083Z triton_mm_4648 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 2025-09-07T09:49:17.0084279Z triton_mm_4644 0.0287 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:17.0085460Z triton_mm_4645 0.0287 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 2025-09-07T09:49:17.0086661Z triton_mm_4647 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=3, num_warps=4 2025-09-07T09:49:17.0087856Z triton_mm_4643 0.0297 ms 75.9% 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 2025-09-07T09:49:17.0088891Z SingleProcess AUTOTUNE benchmarking takes 0.2836 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:49:17.6149169Z Autotune Choices Stats: 2025-09-07T09:49:17.6150685Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.016383999958634377, "best_triton_pos": 1, "best_triton_time": 0.01740800030529499, "best_triton_kernel": "triton_mm_4503", "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"} 2025-09-07T09:49:17.6210450Z AUTOTUNE mm(1024x512, 512x1024) 2025-09-07T09:49:17.6210792Z strides: [1, 1024], [1024, 1] 2025-09-07T09:49:17.6211441Z dtypes: torch.float16, torch.float16 2025-09-07T09:49:17.6211761Z mm 0.0164 ms 100.0% 2025-09-07T09:49:17.6212488Z triton_mm_4503 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:17.6213959Z triton_mm_4505 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:17.6215165Z triton_mm_4510 0.0174 ms 94.1% 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 2025-09-07T09:49:17.6216360Z triton_mm_4511 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:49:17.6217561Z triton_mm_4501 0.0184 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 2025-09-07T09:49:17.6218914Z triton_mm_4506 0.0184 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 2025-09-07T09:49:17.6220115Z triton_mm_4509 0.0184 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:17.6221318Z triton_mm_4504 0.0195 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:49:17.6222514Z triton_mm_4507 0.0195 ms 84.2% 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 2025-09-07T09:49:17.6223555Z SingleProcess AUTOTUNE benchmarking takes 0.2597 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:49:17.9463149Z Autotune Choices Stats: 2025-09-07T09:49:17.9464697Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.016383999958634377, "best_triton_pos": 1, "best_triton_time": 0.016383999958634377, "best_triton_kernel": "triton_mm_4700", "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"} 2025-09-07T09:49:17.9516979Z AUTOTUNE mm(1024x512, 512x1024) 2025-09-07T09:49:17.9517356Z strides: [1, 1024], [1, 512] 2025-09-07T09:49:17.9517653Z dtypes: torch.float16, torch.float16 2025-09-07T09:49:17.9517952Z mm 0.0164 ms 100.0% 2025-09-07T09:49:17.9518681Z triton_mm_4700 0.0164 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 2025-09-07T09:49:17.9519907Z triton_mm_4698 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:17.9521115Z triton_mm_4701 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:17.9522315Z triton_mm_4705 0.0174 ms 94.1% 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 2025-09-07T09:49:17.9523523Z triton_mm_4706 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:49:17.9524713Z triton_mm_4696 0.0184 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 2025-09-07T09:49:17.9526243Z triton_mm_4699 0.0184 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 2025-09-07T09:49:17.9527458Z triton_mm_4702 0.0184 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=4, num_warps=8 2025-09-07T09:49:17.9528669Z triton_mm_4704 0.0195 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 2025-09-07T09:49:17.9529708Z SingleProcess AUTOTUNE benchmarking takes 0.2585 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:49:19.3833267Z Autotune Choices Stats: 2025-09-07T09:49:19.3834834Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.016383999958634377, "best_triton_pos": 1, "best_triton_time": 0.018432000651955605, "best_triton_kernel": "triton_mm_12551", "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"} 2025-09-07T09:49:19.3886412Z AUTOTUNE mm(512x1024, 1024x1024) 2025-09-07T09:49:19.3886724Z strides: [1024, 1], [1, 1024] 2025-09-07T09:49:19.3887027Z dtypes: torch.float16, torch.float16 2025-09-07T09:49:19.3887326Z mm 0.0164 ms 100.0% 2025-09-07T09:49:19.3888047Z triton_mm_12551 0.0184 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 2025-09-07T09:49:19.3889262Z triton_mm_12547 0.0205 ms 80.0% 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 2025-09-07T09:49:19.3890480Z triton_mm_12550 0.0205 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 2025-09-07T09:49:19.3891684Z triton_mm_12553 0.0205 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 2025-09-07T09:49:19.3893074Z triton_mm_12548 0.0215 ms 76.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:49:19.3894274Z triton_mm_12541 0.0236 ms 69.6% 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 2025-09-07T09:49:19.3895484Z triton_mm_12544 0.0236 ms 69.6% 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 2025-09-07T09:49:19.3896705Z triton_mm_12557 0.0236 ms 69.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:49:19.3897924Z triton_mm_12552 0.0246 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:19.3898958Z SingleProcess AUTOTUNE benchmarking takes 0.2677 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:49:20.7842371Z Autotune Choices Stats: 2025-09-07T09:49:20.7843901Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.016383999958634377, "best_triton_pos": 1, "best_triton_time": 0.018432000651955605, "best_triton_kernel": "triton_mm_12515", "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"} 2025-09-07T09:49:20.7896033Z AUTOTUNE mm(512x1024, 1024x1024) 2025-09-07T09:49:20.7896679Z strides: [1, 512], [1, 1024] 2025-09-07T09:49:20.7896985Z dtypes: torch.float16, torch.float16 2025-09-07T09:49:20.7897302Z mm 0.0164 ms 100.0% 2025-09-07T09:49:20.7898032Z triton_mm_12515 0.0184 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 2025-09-07T09:49:20.7899241Z triton_mm_12511 0.0205 ms 80.0% 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 2025-09-07T09:49:20.7900432Z triton_mm_12514 0.0205 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 2025-09-07T09:49:20.7901635Z triton_mm_12517 0.0205 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 2025-09-07T09:49:20.7902843Z triton_mm_12512 0.0215 ms 76.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:49:20.7904202Z triton_mm_12505 0.0225 ms 72.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:49:20.7905413Z triton_mm_12508 0.0246 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:49:20.7906628Z triton_mm_12516 0.0246 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:20.7907850Z triton_mm_12521 0.0246 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=5, num_warps=8 2025-09-07T09:49:20.7908899Z SingleProcess AUTOTUNE benchmarking takes 0.2686 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:49:24.3053580Z Autotune Choices Stats: 2025-09-07T09:49:24.3055080Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.14745600521564484, "best_triton_pos": 1, "best_triton_time": 0.3123199939727783, "best_triton_kernel": "triton_mm_4397", "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"} 2025-09-07T09:49:24.3107725Z AUTOTUNE mm(512x32000, 32000x1024) 2025-09-07T09:49:24.3108067Z strides: [32000, 1], [1024, 1] 2025-09-07T09:49:24.3108386Z dtypes: torch.float16, torch.float16 2025-09-07T09:49:24.3108698Z mm 0.1475 ms 100.0% 2025-09-07T09:49:24.3109416Z triton_mm_4397 0.3123 ms 47.2% 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 2025-09-07T09:49:24.3110629Z triton_mm_4394 0.3615 ms 40.8% 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 2025-09-07T09:49:24.3111831Z triton_mm_4393 0.3881 ms 38.0% 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 2025-09-07T09:49:24.3113022Z triton_mm_4390 0.3983 ms 37.0% 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 2025-09-07T09:49:24.3114212Z triton_mm_4396 0.4147 ms 35.6% 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 2025-09-07T09:49:24.3115742Z triton_mm_4399 0.4403 ms 33.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:49:24.3116947Z triton_mm_4387 0.4588 ms 32.1% 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 2025-09-07T09:49:24.3118235Z triton_mm_4395 0.4977 ms 29.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:24.3119423Z triton_mm_4403 0.5048 ms 29.2% 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 2025-09-07T09:49:24.3120460Z SingleProcess AUTOTUNE benchmarking takes 0.6923 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:49:24.6847742Z Autotune Choices Stats: 2025-09-07T09:49:24.6849232Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.035840000957250595, "best_triton_pos": 1, "best_triton_time": 0.04915200173854828, "best_triton_kernel": "triton_mm_4469", "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"} 2025-09-07T09:49:24.6900610Z AUTOTUNE mm(512x4096, 4096x1024) 2025-09-07T09:49:24.6900950Z strides: [4096, 1], [1024, 1] 2025-09-07T09:49:24.6901259Z dtypes: torch.float16, torch.float16 2025-09-07T09:49:24.6901570Z mm 0.0358 ms 100.0% 2025-09-07T09:49:24.6902292Z triton_mm_4469 0.0492 ms 72.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:24.6903500Z triton_mm_4465 0.0553 ms 64.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:49:24.6904707Z triton_mm_4466 0.0563 ms 63.6% 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 2025-09-07T09:49:24.6905916Z triton_mm_4468 0.0594 ms 60.3% 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 2025-09-07T09:49:24.6907113Z triton_mm_4462 0.0604 ms 59.3% 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 2025-09-07T09:49:24.6908306Z triton_mm_4471 0.0625 ms 57.4% 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 2025-09-07T09:49:24.6909503Z triton_mm_4459 0.0645 ms 55.6% 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 2025-09-07T09:49:24.6910707Z triton_mm_4475 0.0727 ms 49.3% 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 2025-09-07T09:49:24.6911911Z triton_mm_4467 0.0737 ms 48.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:24.6912937Z SingleProcess AUTOTUNE benchmarking takes 0.3761 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:49:25.0712934Z Autotune Choices Stats: 2025-09-07T09:49:25.0714414Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "bmm", "best_time": 0.030719999223947525, "best_triton_pos": 1, "best_triton_time": 0.05427199974656105, "best_triton_kernel": "triton_bmm_4546", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:49:25.0769347Z AUTOTUNE bmm(16x512x512, 16x512x64) 2025-09-07T09:49:25.0769718Z strides: [262144, 1, 512], [1, 1024, 16] 2025-09-07T09:49:25.0770055Z dtypes: torch.float16, torch.float16 2025-09-07T09:49:25.0770358Z bmm 0.0307 ms 100.0% 2025-09-07T09:49:25.0771079Z triton_bmm_4546 0.0543 ms 56.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:25.0772286Z triton_bmm_4530 0.0553 ms 55.6% 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 2025-09-07T09:49:25.0773680Z triton_bmm_4544 0.0563 ms 54.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:49:25.0774895Z triton_bmm_4543 0.0573 ms 53.6% 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 2025-09-07T09:49:25.0776104Z triton_bmm_4545 0.0666 ms 46.2% 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=2, num_warps=8 2025-09-07T09:49:25.0777513Z triton_bmm_4547 0.0707 ms 43.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:49:25.0778717Z triton_bmm_4533 0.0778 ms 39.5% 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 2025-09-07T09:49:25.0779923Z triton_bmm_4534 0.0778 ms 39.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:49:25.0781127Z triton_bmm_4541 0.0809 ms 38.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:25.0782161Z SingleProcess AUTOTUNE benchmarking takes 0.3828 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:49:25.4155534Z Autotune Choices Stats: 2025-09-07T09:49:25.4157052Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "bmm", "best_time": 0.02969600073993206, "best_triton_pos": 1, "best_triton_time": 0.035840000957250595, "best_triton_kernel": "triton_bmm_4559", "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"} 2025-09-07T09:49:25.4211835Z AUTOTUNE bmm(16x512x64, 16x64x512) 2025-09-07T09:49:25.4212187Z strides: [1, 1024, 16], [64, 1, 1024] 2025-09-07T09:49:25.4212503Z dtypes: torch.float16, torch.float16 2025-09-07T09:49:25.4213003Z bmm 0.0297 ms 100.0% 2025-09-07T09:49:25.4213747Z triton_bmm_4559 0.0358 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:25.4214976Z triton_bmm_4560 0.0358 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:49:25.4216175Z triton_bmm_4555 0.0369 ms 80.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:49:25.4217360Z triton_bmm_4556 0.0369 ms 80.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:49:25.4218569Z triton_bmm_4557 0.0369 ms 80.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:25.4223260Z triton_bmm_4565 0.0369 ms 80.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:25.4224604Z triton_bmm_4566 0.0379 ms 78.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:49:25.4225820Z triton_bmm_4558 0.0399 ms 74.4% 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 2025-09-07T09:49:25.4227036Z triton_bmm_4563 0.0430 ms 69.0% 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 2025-09-07T09:49:25.4228085Z SingleProcess AUTOTUNE benchmarking takes 0.3429 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:49:25.6584435Z Autotune Choices Stats: 2025-09-07T09:49:25.6585620Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_bmm_4579", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.027648000046610832, "best_triton_pos": 0} 2025-09-07T09:49:25.6642085Z AUTOTUNE bmm(16x64x512, 16x512x1024) 2025-09-07T09:49:25.6642445Z strides: [64, 1, 1024], [524288, 1024, 1] 2025-09-07T09:49:25.6642783Z dtypes: torch.float16, torch.float16 2025-09-07T09:49:25.6643567Z triton_bmm_4579 0.0276 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 2025-09-07T09:49:25.6644771Z triton_bmm_4574 0.0287 ms 96.4% 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 2025-09-07T09:49:25.6645985Z triton_bmm_4576 0.0287 ms 96.4% 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 2025-09-07T09:49:25.6647188Z triton_bmm_4577 0.0287 ms 96.4% 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 2025-09-07T09:49:25.6648396Z triton_bmm_4578 0.0287 ms 96.4% 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 2025-09-07T09:49:25.6649605Z triton_bmm_4580 0.0287 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:49:25.6650804Z triton_bmm_4575 0.0297 ms 93.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:49:25.6652011Z triton_bmm_4582 0.0307 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=5, num_warps=8 2025-09-07T09:49:25.6653410Z triton_bmm_4569 0.0317 ms 87.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:49:25.6654614Z triton_bmm_4570 0.0317 ms 87.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:49:25.6655654Z SingleProcess AUTOTUNE benchmarking takes 0.2416 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T09:49:25.9402125Z Autotune Choices Stats: 2025-09-07T09:49:25.9403510Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_4600", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.028672000393271446, "best_triton_pos": 0} 2025-09-07T09:49:25.9459498Z AUTOTUNE bmm(16x512x1024, 16x1024x64) 2025-09-07T09:49:25.9459844Z strides: [524288, 1024, 1], [64, 1024, 1] 2025-09-07T09:49:25.9460178Z dtypes: torch.float16, torch.float16 2025-09-07T09:49:25.9460952Z triton_bmm_4600 0.0287 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:49:25.9461718Z bmm 0.0307 ms 93.3% 2025-09-07T09:49:25.9462417Z triton_bmm_4590 0.0307 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 2025-09-07T09:49:25.9463600Z triton_bmm_4594 0.0307 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=4 2025-09-07T09:49:25.9464809Z triton_bmm_4599 0.0307 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:25.9466154Z triton_bmm_4591 0.0317 ms 90.3% 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 2025-09-07T09:49:25.9467360Z triton_bmm_4595 0.0317 ms 90.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:49:25.9468567Z triton_bmm_4584 0.0328 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:49:25.9469769Z triton_bmm_4585 0.0338 ms 84.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:49:25.9470968Z triton_bmm_4593 0.0338 ms 84.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:49:25.9472005Z SingleProcess AUTOTUNE benchmarking takes 0.2812 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:49:26.1727415Z Autotune Choices Stats: 2025-09-07T09:49:26.1728597Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_bmm_4611", "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": 0.018432000651955605, "best_triton_pos": 0} 2025-09-07T09:49:26.1786023Z AUTOTUNE bmm(16x64x512, 16x512x512) 2025-09-07T09:49:26.1786360Z strides: [64, 1, 1024], [262144, 512, 1] 2025-09-07T09:49:26.1786695Z dtypes: torch.float16, torch.float16 2025-09-07T09:49:26.1787487Z triton_bmm_4611 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=4, num_warps=8 2025-09-07T09:49:26.1788714Z triton_bmm_4612 0.0184 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 2025-09-07T09:49:26.1789917Z triton_bmm_4608 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=3, num_warps=8 2025-09-07T09:49:26.1791115Z triton_bmm_4610 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:26.1792299Z triton_bmm_4613 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:49:26.1793694Z triton_bmm_4614 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:49:26.1794909Z triton_bmm_4616 0.0205 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=5, num_warps=8 2025-09-07T09:49:26.1795667Z bmm 0.0215 ms 85.7% 2025-09-07T09:49:26.1796379Z triton_bmm_4602 0.0215 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 2025-09-07T09:49:26.1797649Z triton_bmm_4603 0.0215 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 2025-09-07T09:49:26.1798683Z SingleProcess AUTOTUNE benchmarking takes 0.2321 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T09:49:35.4898649Z 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 2025-09-07T09:49:35.4900321Z pred = mod(**cloned_inputs) 2025-09-07T09:49:35.4901008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 1607, in forward 2025-09-07T09:49:35.4901744Z transformer_outputs = self.transformer( 2025-09-07T09:49:35.4902488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 1368, in forward 2025-09-07T09:49:35.4903191Z outputs = layer_module( 2025-09-07T09:49:35.4903857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 494, in forward 2025-09-07T09:49:35.4904550Z outputs = self.rel_attn( 2025-09-07T09:49:35.4905225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 425, in forward 2025-09-07T09:49:35.4905933Z attn_vec = self.rel_attn_core( 2025-09-07T09:49:35.4906659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 267, in rel_attn_core 2025-09-07T09:49:35.4907434Z bd = self.rel_shift_bnij(bd, klen=ac.shape[3]) 2025-09-07T09:49:35.4908194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 244, in rel_shift_bnij 2025-09-07T09:49:35.4909095Z x = torch.index_select(x, 3, torch.arange(klen, device=x.device, dtype=torch.long)) 2025-09-07T09:49:35.4909490Z 2025-09-07T09:49:35.4909495Z 2025-09-07T09:49:37.0332406Z W0907 09:49:37.032000 37415 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:50:46.1208956Z pass 2025-09-07T09:50:54.2883255Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:50:54.2884705Z import pynvml # type: ignore[import] 2025-09-07T09:50:57.6439334Z /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. 2025-09-07T09:50:57.6440912Z from pkg_resources import resource_filename 2025-09-07T09:50:58.3234895Z 2025-09-07T09:51:01.1298629Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:51:01.1299023Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:51:01.1299373Z cuda train YituTechConvBert 2025-09-07T09:51:36.2988805Z Autotune Choices Stats: 2025-09-07T09:51:36.2990044Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_40", "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} 2025-09-07T09:51:36.3049576Z AUTOTUNE addmm(512x384, 512x768, 768x384) 2025-09-07T09:51:36.3049942Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T09:51:36.3050300Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:51:36.3051122Z triton_mm_40 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 2025-09-07T09:51:36.3051884Z bias_addmm 0.0133 ms 92.3% 2025-09-07T09:51:36.3052597Z triton_mm_38 0.0133 ms 92.3% 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 2025-09-07T09:51:36.3053972Z triton_mm_39 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:51:36.3055408Z triton_mm_44 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 2025-09-07T09:51:36.3056645Z triton_mm_37 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 2025-09-07T09:51:36.3057822Z triton_mm_43 0.0143 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:51:36.3059004Z triton_mm_47 0.0154 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 2025-09-07T09:51:36.3059749Z addmm 0.0174 ms 70.6% 2025-09-07T09:51:36.3060440Z triton_mm_46 0.0174 ms 70.6% 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 2025-09-07T09:51:36.3061460Z SingleProcess AUTOTUNE benchmarking takes 0.3023 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:51:38.1845479Z E0907 09:51:38.183000 42766 site-packages/torch/_inductor/select_algorithm.py:2967] [2/0_1] Runtime error during autotuning: 2025-09-07T09:51:38.1847035Z E0907 09:51:38.183000 42766 site-packages/torch/_inductor/select_algorithm.py:2967] [2/0_1] permute(sparse_coo): number of dimensions in the tensor input does not match the length of the desired ordering of dimensions i.e. input.dim() = 3 is not equal to len(dims) = 4. 2025-09-07T09:51:38.1848527Z E0907 09:51:38.183000 42766 site-packages/torch/_inductor/select_algorithm.py:2967] [2/0_1] Ignoring this choice. 2025-09-07T09:51:38.1849126Z Autotune Choices Stats: 2025-09-07T09:51:38.1849611Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "convolution", "best_time": 0.01228800043463707} 2025-09-07T09:51:38.1903850Z AUTOTUNE convolution(1x768x512, 384x768x1) 2025-09-07T09:51:38.1904234Z strides: [393216, 512, 1], [768, 1, 1] 2025-09-07T09:51:38.1904572Z dtypes: torch.float16, torch.float16 2025-09-07T09:51:38.1904901Z convolution 0.0123 ms 100.0% 2025-09-07T09:51:38.1905190Z conv1x1_via_mm inf ms 0.0% 2025-09-07T09:51:38.1905761Z SingleProcess AUTOTUNE benchmarking takes 0.0285 seconds and 0.0002 seconds precompiling for 2 choices 2025-09-07T09:51:38.4391816Z Autotune Choices Stats: 2025-09-07T09:51:38.4393389Z {"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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T09:51:38.4449168Z AUTOTUNE mm(512x384, 384x54) 2025-09-07T09:51:38.4449537Z strides: [1, 512], [1, 384] 2025-09-07T09:51:38.4449848Z dtypes: torch.float16, torch.float16 2025-09-07T09:51:38.4450601Z triton_mm_58 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 2025-09-07T09:51:38.4451798Z triton_mm_55 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 2025-09-07T09:51:38.4453163Z triton_mm_56 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 2025-09-07T09:51:38.4454350Z triton_mm_57 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 2025-09-07T09:51:38.4455531Z triton_mm_62 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 2025-09-07T09:51:38.4456941Z triton_mm_66 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=4, num_warps=4 2025-09-07T09:51:38.4458103Z triton_mm_61 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:51:38.4459268Z triton_mm_64 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:51:38.4460436Z triton_mm_65 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:51:38.4461599Z triton_mm_63 0.0123 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=3, num_warps=4 2025-09-07T09:51:38.4462625Z SingleProcess AUTOTUNE benchmarking takes 0.2533 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:51:38.7017012Z Autotune Choices Stats: 2025-09-07T09:51:38.7018455Z {"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_76", "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"} 2025-09-07T09:51:38.7075045Z AUTOTUNE mm(512x768, 768x384) 2025-09-07T09:51:38.7075401Z strides: [768, 1], [1, 768] 2025-09-07T09:51:38.7075727Z dtypes: torch.float16, torch.float16 2025-09-07T09:51:38.7076029Z mm 0.0123 ms 100.0% 2025-09-07T09:51:38.7076753Z triton_mm_76 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 2025-09-07T09:51:38.7078022Z 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 2025-09-07T09:51:38.7079205Z triton_mm_74 0.0133 ms 92.3% 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 2025-09-07T09:51:38.7080375Z triton_mm_75 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:51:38.7085422Z triton_mm_73 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 2025-09-07T09:51:38.7086670Z triton_mm_79 0.0143 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:51:38.7087862Z triton_mm_83 0.0154 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 2025-09-07T09:51:38.7089042Z triton_mm_82 0.0164 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 2025-09-07T09:51:38.7090222Z triton_mm_85 0.0164 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=4, num_warps=8 2025-09-07T09:51:38.7091252Z SingleProcess AUTOTUNE benchmarking takes 0.2620 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:51:38.8159580Z Autotune Choices Stats: 2025-09-07T09:51:38.8160782Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_bmm_93", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T09:51:38.8216831Z AUTOTUNE bmm(3072x64x9, 3072x9x1) 2025-09-07T09:51:38.8217172Z strides: [576, 9, 1], [9, 1, 27648] 2025-09-07T09:51:38.8217489Z dtypes: torch.float16, torch.float16 2025-09-07T09:51:38.8218263Z triton_bmm_93 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:51:38.8219479Z triton_bmm_94 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:51:38.8220665Z triton_bmm_95 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:51:38.8221868Z triton_bmm_96 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:51:38.8223065Z triton_bmm_90 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T09:51:38.8224250Z triton_bmm_91 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T09:51:38.8225440Z triton_bmm_92 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T09:51:38.8226189Z bmm 0.0184 ms 72.2% 2025-09-07T09:51:38.8226709Z SingleProcess AUTOTUNE benchmarking takes 0.1130 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T09:51:39.0751288Z Autotune Choices Stats: 2025-09-07T09:51:39.0752450Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_104", "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": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T09:51:39.0809001Z AUTOTUNE bmm(6x512x64, 6x64x512) 2025-09-07T09:51:39.0809341Z strides: [64, 384, 1], [64, 1, 384] 2025-09-07T09:51:39.0809656Z dtypes: torch.float16, torch.float16 2025-09-07T09:51:39.0810685Z triton_bmm_104 0.0102 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 2025-09-07T09:51:39.0811897Z triton_bmm_105 0.0102 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 2025-09-07T09:51:39.0813346Z triton_bmm_106 0.0102 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 2025-09-07T09:51:39.0814568Z triton_bmm_108 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 2025-09-07T09:51:39.0815778Z triton_bmm_110 0.0102 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 2025-09-07T09:51:39.0816994Z triton_bmm_111 0.0102 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 2025-09-07T09:51:39.0818178Z triton_bmm_101 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:51:39.0819503Z triton_bmm_102 0.0113 ms 90.9% 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 2025-09-07T09:51:39.0820686Z triton_bmm_103 0.0113 ms 90.9% 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 2025-09-07T09:51:39.0821875Z triton_bmm_107 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 2025-09-07T09:51:39.0822906Z SingleProcess AUTOTUNE benchmarking takes 0.2587 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:51:39.3309953Z Autotune Choices Stats: 2025-09-07T09:51:39.3311123Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_128", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T09:51:39.3368201Z AUTOTUNE bmm(6x512x512, 6x512x64) 2025-09-07T09:51:39.3368543Z strides: [262144, 512, 1], [64, 384, 1] 2025-09-07T09:51:39.3368884Z dtypes: torch.float16, torch.float16 2025-09-07T09:51:39.3369646Z triton_bmm_128 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=4, num_warps=4 2025-09-07T09:51:39.3370861Z triton_bmm_118 0.0133 ms 92.3% 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 2025-09-07T09:51:39.3372064Z triton_bmm_119 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:51:39.3373420Z triton_bmm_120 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:51:39.3374610Z triton_bmm_123 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 2025-09-07T09:51:39.3375804Z triton_bmm_124 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 2025-09-07T09:51:39.3377170Z triton_bmm_127 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=4 2025-09-07T09:51:39.3377922Z bmm 0.0143 ms 85.7% 2025-09-07T09:51:39.3378623Z triton_bmm_117 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 2025-09-07T09:51:39.3379818Z triton_bmm_126 0.0143 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:51:39.3380840Z SingleProcess AUTOTUNE benchmarking takes 0.2554 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:51:40.2207990Z Autotune Choices Stats: 2025-09-07T09:51:40.2209174Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_2289", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.15462400019168854, "best_triton_pos": 0} 2025-09-07T09:51:40.2269402Z AUTOTUNE addmm(512x30522, 512x768, 768x30522) 2025-09-07T09:51:40.2269757Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T09:51:40.2270402Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:51:40.2271235Z triton_mm_2289 0.1546 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 2025-09-07T09:51:40.2272449Z triton_mm_2290 0.1546 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 2025-09-07T09:51:40.2273670Z triton_mm_2283 0.1659 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:51:40.2274871Z triton_mm_2286 0.1741 ms 88.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:51:40.2276065Z triton_mm_2285 0.1761 ms 87.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:51:40.2277343Z triton_mm_2291 0.1761 ms 87.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:51:40.2278548Z triton_mm_2284 0.1956 ms 79.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:51:40.2279311Z bias_addmm 0.1987 ms 77.8% 2025-09-07T09:51:40.2280032Z triton_mm_2287 0.2130 ms 72.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:51:40.2281235Z triton_mm_2281 0.2140 ms 72.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:51:40.2282269Z SingleProcess AUTOTUNE benchmarking takes 0.6693 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:52:05.4446441Z Autotune Choices Stats: 2025-09-07T09:52:05.4447675Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_2319", "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": 0.16896000504493713, "best_triton_pos": 0} 2025-09-07T09:52:05.4509989Z AUTOTUNE mm(30522x512, 512x768) 2025-09-07T09:52:05.4510337Z strides: [1, 30522], [768, 1] 2025-09-07T09:52:05.4510647Z dtypes: torch.float16, torch.float16 2025-09-07T09:52:05.4512761Z triton_mm_2319 0.1690 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 2025-09-07T09:52:05.4514007Z triton_mm_2325 0.1710 ms 98.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:52:05.4515219Z triton_mm_2326 0.1782 ms 94.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:52:05.4516422Z triton_mm_2321 0.1894 ms 89.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:52:05.4517260Z mm 0.1997 ms 84.6% 2025-09-07T09:52:05.4517965Z triton_mm_2322 0.2038 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:52:05.4519167Z triton_mm_2320 0.2068 ms 81.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:52:05.4520548Z triton_mm_2324 0.2068 ms 81.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T09:52:05.4521745Z triton_mm_2327 0.2161 ms 78.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:52:05.4522944Z triton_mm_2316 0.2294 ms 73.7% 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 2025-09-07T09:52:05.4523975Z SingleProcess AUTOTUNE benchmarking takes 0.6571 seconds and 0.0005 seconds precompiling for 19 choices 2025-09-07T09:52:06.7584236Z Autotune Choices Stats: 2025-09-07T09:52:06.7585511Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_2586", "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} 2025-09-07T09:52:06.7645728Z AUTOTUNE mm(384x512, 512x768) 2025-09-07T09:52:06.7646050Z strides: [512, 1], [768, 1] 2025-09-07T09:52:06.7646336Z dtypes: torch.float16, torch.float16 2025-09-07T09:52:06.7647113Z triton_mm_2586 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 2025-09-07T09:52:06.7647878Z mm 0.0123 ms 91.7% 2025-09-07T09:52:06.7648588Z triton_mm_2585 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 2025-09-07T09:52:06.7649793Z triton_mm_2588 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 2025-09-07T09:52:06.7650995Z triton_mm_2589 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 2025-09-07T09:52:06.7652176Z triton_mm_2579 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 2025-09-07T09:52:06.7653595Z triton_mm_2580 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 2025-09-07T09:52:06.7654784Z triton_mm_2581 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 2025-09-07T09:52:06.7656303Z triton_mm_2591 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 2025-09-07T09:52:06.7657519Z triton_mm_2582 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 2025-09-07T09:52:06.7658553Z SingleProcess AUTOTUNE benchmarking takes 0.2501 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:52:07.5002772Z Autotune Choices Stats: 2025-09-07T09:52:07.5004009Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_2693", "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} 2025-09-07T09:52:07.5066823Z AUTOTUNE mm(384x512, 512x768) 2025-09-07T09:52:07.5067143Z strides: [1, 384], [768, 1] 2025-09-07T09:52:07.5067458Z dtypes: torch.float16, torch.float16 2025-09-07T09:52:07.5068240Z triton_mm_2693 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 2025-09-07T09:52:07.5069289Z mm 0.0123 ms 91.7% 2025-09-07T09:52:07.5069985Z triton_mm_2692 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 2025-09-07T09:52:07.5071182Z triton_mm_2695 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 2025-09-07T09:52:07.5072376Z triton_mm_2696 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 2025-09-07T09:52:07.5073556Z triton_mm_2698 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 2025-09-07T09:52:07.5074745Z triton_mm_2687 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 2025-09-07T09:52:07.5075933Z triton_mm_2688 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 2025-09-07T09:52:07.5077204Z triton_mm_2686 0.0154 ms 73.3% 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 2025-09-07T09:52:07.5078406Z triton_mm_2689 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 2025-09-07T09:52:07.5079448Z SingleProcess AUTOTUNE benchmarking takes 0.2509 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:52:07.9986406Z Autotune Choices Stats: 2025-09-07T09:52:07.9987685Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_2597", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T09:52:08.0049083Z AUTOTUNE mm(54x512, 512x384) 2025-09-07T09:52:08.0049426Z strides: [1, 54], [1, 512] 2025-09-07T09:52:08.0049708Z dtypes: torch.float16, torch.float16 2025-09-07T09:52:08.0050494Z triton_mm_2597 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 2025-09-07T09:52:08.0052044Z triton_mm_2598 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 2025-09-07T09:52:08.0053023Z mm 0.0123 ms 91.7% 2025-09-07T09:52:08.0053734Z triton_mm_2599 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 2025-09-07T09:52:08.0054918Z triton_mm_2600 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 2025-09-07T09:52:08.0056111Z triton_mm_2603 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 2025-09-07T09:52:08.0057305Z triton_mm_2604 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 2025-09-07T09:52:08.0058507Z triton_mm_2607 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 2025-09-07T09:52:08.0059862Z triton_mm_2609 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 2025-09-07T09:52:08.0061057Z triton_mm_2606 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 2025-09-07T09:52:08.0062086Z SingleProcess AUTOTUNE benchmarking takes 0.2257 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T09:52:10.7737961Z Autotune Choices Stats: 2025-09-07T09:52:10.7739504Z {"num_choices": 29, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.1382399946451187, "best_triton_pos": 5, "best_triton_time": 0.19865599274635315, "best_triton_kernel": "triton_mm_2300", "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"} 2025-09-07T09:52:10.7819316Z AUTOTUNE mm(512x30528, 30528x768) 2025-09-07T09:52:10.7819646Z strides: [30528, 1], [768, 1] 2025-09-07T09:52:10.7819949Z dtypes: torch.float16, torch.float16 2025-09-07T09:52:10.7820263Z mm 0.1382 ms 100.0% 2025-09-07T09:52:10.7820554Z decompose_k_mm_6_split_2 0.1505 ms 91.8% k_split=6 2025-09-07T09:52:10.7820959Z decompose_k_mm_2_split_0 0.1669 ms 82.8% k_split=2 2025-09-07T09:52:10.7821357Z decompose_k_mm_4_split_5 0.1679 ms 82.3% k_split=4 2025-09-07T09:52:10.7821755Z decompose_k_mm_3_split_1 0.1731 ms 79.9% k_split=3 2025-09-07T09:52:10.7822566Z triton_mm_2300 0.1987 ms 69.6% 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 2025-09-07T09:52:10.7823783Z triton_mm_2296 0.2703 ms 51.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:52:10.7824996Z triton_mm_2299 0.2703 ms 51.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:52:10.7826199Z triton_mm_2303 0.2980 ms 46.4% 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 2025-09-07T09:52:10.7827399Z triton_mm_2293 0.3400 ms 40.7% 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 2025-09-07T09:52:10.7828435Z SingleProcess AUTOTUNE benchmarking takes 1.8697 seconds and 0.0002 seconds precompiling for 29 choices 2025-09-07T09:52:11.7932126Z Autotune Choices Stats: 2025-09-07T09:52:11.7934014Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_2497", "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": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T09:52:11.8005232Z AUTOTUNE bmm(6x512x64, 6x64x512) 2025-09-07T09:52:11.8005562Z strides: [64, 768, 1], [64, 1, 384] 2025-09-07T09:52:11.8005880Z dtypes: torch.float16, torch.float16 2025-09-07T09:52:11.8006656Z triton_bmm_2497 0.0102 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 2025-09-07T09:52:11.8007862Z triton_bmm_2498 0.0102 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 2025-09-07T09:52:11.8009072Z triton_bmm_2499 0.0102 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 2025-09-07T09:52:11.8010287Z triton_bmm_2501 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 2025-09-07T09:52:11.8011711Z triton_bmm_2502 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=4, num_warps=4 2025-09-07T09:52:11.8013019Z triton_bmm_2503 0.0102 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 2025-09-07T09:52:11.8014235Z triton_bmm_2504 0.0102 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 2025-09-07T09:52:11.8015448Z triton_bmm_2494 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:52:11.8016640Z triton_bmm_2495 0.0113 ms 90.9% 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 2025-09-07T09:52:11.8017842Z triton_bmm_2496 0.0113 ms 90.9% 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 2025-09-07T09:52:11.8018863Z SingleProcess AUTOTUNE benchmarking takes 1.0098 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:52:12.0198708Z Autotune Choices Stats: 2025-09-07T09:52:12.0199900Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_bmm_2511", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T09:52:12.0265556Z AUTOTUNE bmm(6x64x512, 6x512x512) 2025-09-07T09:52:12.0265929Z strides: [64, 1, 384], [262144, 512, 1] 2025-09-07T09:52:12.0266270Z dtypes: torch.float16, torch.float16 2025-09-07T09:52:12.0267059Z triton_bmm_2511 0.0133 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 2025-09-07T09:52:12.0268276Z triton_bmm_2512 0.0133 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 2025-09-07T09:52:12.0269487Z triton_bmm_2513 0.0133 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 2025-09-07T09:52:12.0270982Z triton_bmm_2516 0.0133 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 2025-09-07T09:52:12.0272208Z triton_bmm_2517 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 2025-09-07T09:52:12.0273424Z triton_bmm_2522 0.0133 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 2025-09-07T09:52:12.0274164Z bmm 0.0143 ms 92.9% 2025-09-07T09:52:12.0274869Z triton_bmm_2510 0.0143 ms 92.9% 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 2025-09-07T09:52:12.0276081Z triton_bmm_2519 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 2025-09-07T09:52:12.0277381Z triton_bmm_2520 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 2025-09-07T09:52:12.0278570Z SingleProcess AUTOTUNE benchmarking takes 0.2255 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T09:52:12.2683692Z Autotune Choices Stats: 2025-09-07T09:52:12.2684874Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_2710", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T09:52:12.2749936Z AUTOTUNE mm(512x384, 384x768) 2025-09-07T09:52:12.2750244Z strides: [1, 512], [768, 1] 2025-09-07T09:52:12.2750531Z dtypes: torch.float16, torch.float16 2025-09-07T09:52:12.2751325Z triton_mm_2710 0.0113 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 2025-09-07T09:52:12.2752541Z triton_mm_2711 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 2025-09-07T09:52:12.2753303Z mm 0.0123 ms 91.7% 2025-09-07T09:52:12.2753997Z triton_mm_2713 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 2025-09-07T09:52:12.2755197Z triton_mm_2714 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 2025-09-07T09:52:12.2756376Z triton_mm_2704 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 2025-09-07T09:52:12.2757616Z triton_mm_2705 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 2025-09-07T09:52:12.2758816Z triton_mm_2706 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 2025-09-07T09:52:12.2760002Z triton_mm_2712 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=3, num_warps=4 2025-09-07T09:52:12.2761195Z triton_mm_2716 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 2025-09-07T09:52:12.2762228Z SingleProcess AUTOTUNE benchmarking takes 0.2479 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:52:12.3806477Z Autotune Choices Stats: 2025-09-07T09:52:12.3807878Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_bmm_2554", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T09:52:12.3871232Z AUTOTUNE bmm(3072x64x1, 3072x1x9) 2025-09-07T09:52:12.3871564Z strides: [64, 1, 0], [9, 1, 1] 2025-09-07T09:52:12.3871867Z dtypes: torch.float16, torch.float16 2025-09-07T09:52:12.3872647Z triton_bmm_2554 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T09:52:12.3873854Z triton_bmm_2557 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:52:12.3875074Z triton_bmm_2558 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:52:12.3876286Z triton_bmm_2559 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:52:12.3877739Z triton_bmm_2553 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T09:52:12.3878952Z triton_bmm_2555 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T09:52:12.3880158Z triton_bmm_2556 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:52:12.3880912Z bmm 0.0522 ms 27.5% 2025-09-07T09:52:12.3881431Z SingleProcess AUTOTUNE benchmarking takes 0.1116 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T09:52:12.5320910Z Autotune Choices Stats: 2025-09-07T09:52:12.5322080Z {"num_choices": 11, "num_triton_choices": 10, "best_kernel": "triton_bmm_2543", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T09:52:12.5387861Z AUTOTUNE bmm(3072x9x64, 3072x64x1) 2025-09-07T09:52:12.5388202Z strides: [576, 1, 9], [64, 1, 0] 2025-09-07T09:52:12.5388520Z dtypes: torch.float16, torch.float16 2025-09-07T09:52:12.5389295Z triton_bmm_2543 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-07T09:52:12.5390518Z triton_bmm_2544 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T09:52:12.5391727Z triton_bmm_2545 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T09:52:12.5392939Z triton_bmm_2546 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T09:52:12.5394147Z triton_bmm_2548 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T09:52:12.5395347Z triton_bmm_2549 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T09:52:12.5396701Z triton_bmm_2550 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T09:52:12.5398003Z triton_bmm_2551 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T09:52:12.5399207Z triton_bmm_2552 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T09:52:12.5400408Z triton_bmm_2547 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T09:52:12.5401442Z SingleProcess AUTOTUNE benchmarking takes 0.1473 seconds and 0.0002 seconds precompiling for 11 choices 2025-09-07T09:52:12.7822651Z Autotune Choices Stats: 2025-09-07T09:52:12.7823834Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_2613", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T09:52:12.7890081Z AUTOTUNE mm(384x54, 54x512) 2025-09-07T09:52:12.7890394Z strides: [1, 384], [1, 54] 2025-09-07T09:52:12.7890697Z dtypes: torch.float16, torch.float16 2025-09-07T09:52:12.7891467Z triton_mm_2613 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:52:12.7892901Z triton_mm_2614 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:52:12.7894130Z triton_mm_2615 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:52:12.7895342Z triton_mm_2616 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:52:12.7896554Z triton_mm_2618 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:52:12.7897764Z triton_mm_2619 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:52:12.7898963Z triton_mm_2620 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:52:12.7900183Z triton_mm_2623 0.0082 ms 100.0% 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 2025-09-07T09:52:12.7901404Z triton_mm_2624 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:52:12.7902172Z mm 0.0092 ms 88.9% 2025-09-07T09:52:12.7902702Z SingleProcess AUTOTUNE benchmarking takes 0.2497 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:52:13.0341793Z Autotune Choices Stats: 2025-09-07T09:52:13.0342945Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_2484", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T09:52:13.0410038Z AUTOTUNE bmm(6x512x512, 6x512x64) 2025-09-07T09:52:13.0410379Z strides: [262144, 1, 512], [64, 768, 1] 2025-09-07T09:52:13.0410906Z dtypes: torch.float16, torch.float16 2025-09-07T09:52:13.0411690Z triton_bmm_2484 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=4, num_warps=4 2025-09-07T09:52:13.0413084Z triton_bmm_2474 0.0133 ms 92.3% 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 2025-09-07T09:52:13.0414273Z triton_bmm_2475 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:52:13.0415481Z triton_bmm_2476 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:52:13.0416689Z triton_bmm_2479 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 2025-09-07T09:52:13.0417888Z triton_bmm_2480 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 2025-09-07T09:52:13.0419227Z triton_bmm_2482 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:52:13.0420418Z triton_bmm_2483 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=4 2025-09-07T09:52:13.0421162Z bmm 0.0143 ms 85.7% 2025-09-07T09:52:13.0421848Z triton_bmm_2473 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 2025-09-07T09:52:13.0422888Z SingleProcess AUTOTUNE benchmarking takes 0.2495 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:52:13.2812118Z Autotune Choices Stats: 2025-09-07T09:52:13.2813788Z {"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_2674", "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"} 2025-09-07T09:52:13.2880589Z AUTOTUNE mm(512x384, 384x768) 2025-09-07T09:52:13.2880946Z strides: [384, 1], [768, 1] 2025-09-07T09:52:13.2881233Z dtypes: torch.float16, torch.float16 2025-09-07T09:52:13.2881550Z mm 0.0113 ms 100.0% 2025-09-07T09:52:13.2882277Z triton_mm_2674 0.0113 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 2025-09-07T09:52:13.2883511Z triton_mm_2675 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 2025-09-07T09:52:13.2884732Z triton_mm_2677 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 2025-09-07T09:52:13.2885916Z triton_mm_2678 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 2025-09-07T09:52:13.2887105Z triton_mm_2668 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 2025-09-07T09:52:13.2888614Z triton_mm_2669 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 2025-09-07T09:52:13.2889808Z triton_mm_2670 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 2025-09-07T09:52:13.2891007Z triton_mm_2671 0.0133 ms 84.6% 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 2025-09-07T09:52:13.2892203Z triton_mm_2676 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=3, num_warps=4 2025-09-07T09:52:13.2893391Z SingleProcess AUTOTUNE benchmarking takes 0.2465 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:52:19.9045094Z 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 2025-09-07T09:52:19.9046368Z pred = mod(**cloned_inputs) 2025-09-07T09:52:19.9047099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 925, in forward 2025-09-07T09:52:19.9048202Z generator_hidden_states = self.convbert( 2025-09-07T09:52:19.9048945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 853, in forward 2025-09-07T09:52:19.9049683Z hidden_states = self.encoder( 2025-09-07T09:52:19.9050417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 625, in forward 2025-09-07T09:52:19.9051155Z layer_outputs = layer_module( 2025-09-07T09:52:19.9051762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:52:19.9052418Z return super().__call__(*args, **kwargs) 2025-09-07T09:52:19.9053431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 561, in forward 2025-09-07T09:52:19.9054197Z self_attention_outputs = self.attention( 2025-09-07T09:52:19.9054951Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 464, in forward 2025-09-07T09:52:19.9055674Z self_outputs = self.self( 2025-09-07T09:52:19.9056374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 369, in forward 2025-09-07T09:52:19.9057124Z conv_out_layer = nn.functional.unfold( 2025-09-07T09:52:19.9057352Z 2025-09-07T09:52:19.9057357Z 2025-09-07T09:52:21.3060718Z W0907 09:52:21.305000 42766 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:53:11.5444236Z pass 2025-09-07T09:53:17.3507198Z accuracy pass_rate=100.00% 2025-09-07T09:53:17.3514396Z calls_captured gmean=276.39x mean=817.200x 2025-09-07T09:53:17.3518934Z unique_graphs gmean=4.39x mean=5.300x 2025-09-07T09:53:17.3523036Z graph_breaks gmean=5.83x mean=5.900x 2025-09-07T09:53:17.3527377Z unique_graph_breaks gmean=4.47x mean=4.500x 2025-09-07T09:53:17.3531541Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:53:17.3536099Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:53:17.3540180Z cudagraph_skips gmean=0.00x mean=1.300x 2025-09-07T09:53:17.3541476Z compilation_latency mean=55.554 seconds 2025-09-07T09:53:18.4525982Z + [[ 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* ]] 2025-09-07T09:53:18.4527502Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:53:18.4527837Z + for target in "${targets[@]}" 2025-09-07T09:53:18.4533620Z + target_flag=('--performance') 2025-09-07T09:53:18.4534091Z + local target_flag 2025-09-07T09:53:18.4534372Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T09:53:18.4534748Z + target_flag+=(--cold-start-latency) 2025-09-07T09:53:18.4536139Z + [[ 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* ]] 2025-09-07T09:53:18.4538553Z + [[ 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* ]] 2025-09-07T09:53:18.4541117Z + python benchmarks/dynamo/huggingface.py --performance --cold-start-latency --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance.csv 2025-09-07T09:53:19.4921566Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:53:19.4923427Z import pynvml # type: ignore[import] 2025-09-07T09:53:22.9472055Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:53:22.9473622Z from pkg_resources import resource_filename 2025-09-07T09:53:25.1110233Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:53:25.1111658Z import pynvml # type: ignore[import] 2025-09-07T09:53:28.4756943Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:53:28.4758628Z from pkg_resources import resource_filename 2025-09-07T09:53:29.1556536Z 2025-09-07T09:53:31.5976665Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:53:31.5977061Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:53:31.5977407Z cuda train PLBartForCausalLM 2025-09-07T09:53:47.2066972Z 2025-09-07T09:53:47.4175873Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:56:53.0078893Z 2025-09-07T09:56:53.2923767Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:58:12.7461657Z 2025-09-07T09:58:12.9440524Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:59:30.5175738Z 2025-09-07T09:59:30.7767858Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:00:01.2885482Z 2025-09-07T10:00:01.5489897Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:04:15.4538635Z 2025-09-07T10:04:15.9182284Z running benchmark: 0% 0/30 [00:00 will be ignored 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2025-09-07T10:26:57.7091989Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:27:32.1259245Z 2025-09-07T10:27:32.4841277Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:31:56.5390617Z 2025-09-07T10:31:57.1908960Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:34:13.1616112Z 2025-09-07T10:34:13.5905262Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:39:51.7403631Z 2025-09-07T10:39:52.0181377Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:41:57.5117154Z 2025-09-07T10:41:57.7103690Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:44:03.5402783Z 2025-09-07T10:44:03.8013660Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:44:38.2157923Z 2025-09-07T10:44:38.4770241Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:51:27.0969321Z 2025-09-07T10:51:27.5701498Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:55:07.2286334Z 2025-09-07T10:55:07.5023001Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:00:47.7344585Z 2025-09-07T11:00:48.1338517Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:02:23.5463999Z 2025-09-07T11:02:23.8430233Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:04:44.9226696Z 2025-09-07T11:04:45.2799399Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:05:17.6142791Z 2025-09-07T11:05:17.9756108Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:11:07.2469747Z 2025-09-07T11:11:07.9997966Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:13:53.8777582Z 2025-09-07T11:13:54.2733395Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T13:17:16.6254235Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T13:17:16.6267025Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:17:16.6267412Z env: 2025-09-07T13:17:16.6267639Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:16.6267978Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:16.6268454Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:17:16.6269051Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:17:16.6269554Z ##[endgroup] 2025-09-07T13:17:16.6298930Z + [[ -n '' ]] 2025-09-07T13:17:16.6299306Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T13:17:16.9389982Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T13:17:17.7715328Z Collecting boto3==1.35.33 2025-09-07T13:17:17.8488275Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T13:17:17.8884683Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.1/139.1 KB 3.5 MB/s eta 0:00:00 2025-09-07T13:17:18.0495701Z Collecting psutil==7.0.0 2025-09-07T13:17:18.0618290Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-09-07T13:17:18.1048038Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 278.0/278.0 KB 6.5 MB/s eta 0:00:00 2025-09-07T13:17:18.1264232Z Collecting pynvml==12.0.0 2025-09-07T13:17:18.1384577Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T13:17:18.1700584Z Collecting jmespath<2.0.0,>=0.7.1 2025-09-07T13:17:18.1819254Z Downloading jmespath-1.0.1-py3-none-any.whl (20 kB) 2025-09-07T13:17:18.9528208Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T13:17:18.9650632Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T13:17:19.8327188Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.3/13.3 MB 15.5 MB/s eta 0:00:00 2025-09-07T13:17:19.9122572Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T13:17:19.9243073Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T13:17:19.9350312Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.2/83.2 KB 8.1 MB/s eta 0:00:00 2025-09-07T13:17:20.0382265Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T13:17:20.0503458Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T13:17:20.0579952Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.5/47.5 KB 6.3 MB/s eta 0:00:00 2025-09-07T13:17:20.0645125Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-09-07T13:17:20.0658711Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.26.5) 2025-09-07T13:17:20.3243044Z Installing collected packages: nvidia-ml-py, pynvml, psutil, jmespath, botocore, s3transfer, boto3 2025-09-07T13:17:20.3243904Z Attempting uninstall: nvidia-ml-py 2025-09-07T13:17:20.3249462Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T13:17:20.3286660Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T13:17:20.3309664Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T13:17:20.4019310Z Attempting uninstall: psutil 2025-09-07T13:17:20.4026598Z Found existing installation: psutil 5.9.8 2025-09-07T13:17:20.4172790Z Uninstalling psutil-5.9.8: 2025-09-07T13:17:20.4181185Z Successfully uninstalled psutil-5.9.8 2025-09-07T13:17:21.1404808Z Successfully installed boto3-1.35.33 botocore-1.35.99 jmespath-1.0.1 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-09-07T13:17:21.2474332Z + DEVICE_NAME= 2025-09-07T13:17:21.2474599Z + DEVICE_TYPE= 2025-09-07T13:17:21.2474852Z + command -v nvidia-smi 2025-09-07T13:17:21.2475350Z + python3 -mpip install torch==2.7.1 2025-09-07T13:17:21.2475658Z /usr/bin/nvidia-smi 2025-09-07T13:17:21.5548936Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T13:17:21.8017799Z Collecting torch==2.7.1 2025-09-07T13:17:21.8761848Z Downloading torch-2.7.1-cp310-cp310-manylinux_2_28_x86_64.whl (821.2 MB) 2025-09-07T13:17:35.2115690Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 821.2/821.2 MB 1.4 MB/s eta 0:00:00 2025-09-07T13:17:37.3913805Z Collecting triton==3.3.1 2025-09-07T13:17:37.4029980Z Downloading triton-3.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-09-07T13:17:41.6946047Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.6/155.6 MB 11.6 MB/s eta 0:00:00 2025-09-07T13:17:42.1192864Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-09-07T13:17:42.1308579Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-09-07T13:17:56.2026867Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 571.0/571.0 MB 2.0 MB/s eta 0:00:00 2025-09-07T13:17:57.8306745Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-09-07T13:17:57.8422762Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-09-07T13:17:57.9926150Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 897.7/897.7 KB 6.0 MB/s eta 0:00:00 2025-09-07T13:17:58.1426008Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-09-07T13:17:58.1540947Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-09-07T13:17:58.8837748Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.7/19.7 MB 16.4 MB/s eta 0:00:00 2025-09-07T13:17:59.1265466Z Collecting networkx 2025-09-07T13:17:59.1380237Z Downloading networkx-3.4.2-py3-none-any.whl (1.7 MB) 2025-09-07T13:17:59.2990304Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 10.8 MB/s eta 0:00:00 2025-09-07T13:17:59.4629421Z Collecting filelock 2025-09-07T13:17:59.4743331Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-09-07T13:17:59.7909232Z Collecting jinja2 2025-09-07T13:17:59.8022941Z Downloading jinja2-3.1.6-py3-none-any.whl (134 kB) 2025-09-07T13:17:59.9457609Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 134.9/134.9 KB 880.8 kB/s eta 0:00:00 2025-09-07T13:18:00.0925288Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-09-07T13:18:00.1040259Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-09-07T13:18:00.7784774Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 19.4 MB/s eta 0:00:00 2025-09-07T13:18:00.9730943Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-09-07T13:18:00.9846421Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-09-07T13:18:01.1027227Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 9.7 MB/s eta 0:00:00 2025-09-07T13:18:01.2537403Z Collecting sympy>=1.13.3 2025-09-07T13:18:01.2652471Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-09-07T13:18:01.5421971Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/6.3 MB 22.9 MB/s eta 0:00:00 2025-09-07T13:18:01.6779884Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-09-07T13:18:01.6894259Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-09-07T13:18:04.2797055Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 156.8/156.8 MB 10.9 MB/s eta 0:00:00 2025-09-07T13:18:04.6969336Z Collecting nvidia-nvtx-cu12==12.6.77 2025-09-07T13:18:04.7086789Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-09-07T13:18:04.7160860Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 89.3/89.3 KB 14.0 MB/s eta 0:00:00 2025-09-07T13:18:04.7408528Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-09-07T13:18:04.7526065Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-09-07T13:18:11.1572900Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 216.6/216.6 MB 7.1 MB/s eta 0:00:00 2025-09-07T13:18:11.7217394Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-09-07T13:18:11.7334022Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-09-07T13:18:21.5627694Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 393.1/393.1 MB 3.2 MB/s eta 0:00:00 2025-09-07T13:18:22.5360139Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/frank/.local/lib/python3.10/site-packages (from torch==2.7.1) (4.15.0) 2025-09-07T13:18:22.5850541Z Collecting fsspec 2025-09-07T13:18:22.5966519Z Downloading fsspec-2025.9.0-py3-none-any.whl (199 kB) 2025-09-07T13:18:22.6089918Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.3/199.3 KB 18.1 MB/s eta 0:00:00 2025-09-07T13:18:22.6355182Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-09-07T13:18:22.6469921Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-09-07T13:18:22.8053060Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.9/8.9 MB 56.9 MB/s eta 0:00:00 2025-09-07T13:18:22.8530345Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-09-07T13:18:22.8644696Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-09-07T13:18:28.3297817Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 200.2/200.2 MB 7.3 MB/s eta 0:00:00 2025-09-07T13:18:28.8529196Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-09-07T13:18:28.8644556Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-09-07T13:18:36.1002026Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 158.2/158.2 MB 10.4 MB/s eta 0:00:00 2025-09-07T13:18:36.5174995Z Collecting nvidia-nccl-cu12==2.26.2 2025-09-07T13:18:36.5290641Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-09-07T13:18:47.4155665Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 201.3/201.3 MB 3.6 MB/s eta 0:00:00 2025-09-07T13:18:47.9392529Z Collecting nvidia-curand-cu12==10.3.7.77 2025-09-07T13:18:47.9508329Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-09-07T13:18:53.8264113Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.3/56.3 MB 10.0 MB/s eta 0:00:00 2025-09-07T13:18:53.9955234Z Requirement already satisfied: setuptools>=40.8.0 in /usr/lib/python3/dist-packages (from triton==3.3.1->torch==2.7.1) (59.6.0) 2025-09-07T13:18:54.0216884Z Collecting mpmath<1.4,>=1.1.0 2025-09-07T13:18:54.0331481Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-09-07T13:18:54.0733648Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 536.2/536.2 KB 13.7 MB/s eta 0:00:00 2025-09-07T13:18:54.2750869Z Collecting MarkupSafe>=2.0 2025-09-07T13:18:54.2866192Z Downloading MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20 kB) 2025-09-07T13:18:54.6530422Z Installing collected packages: nvidia-cusparselt-cu12, mpmath, triton, sympy, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, networkx, MarkupSafe, fsspec, filelock, nvidia-cusparse-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, jinja2, nvidia-cusolver-cu12, torch 2025-09-07T13:18:59.1958643Z WARNING: The scripts proton and proton-viewer are installed in '/home/frank/.local/bin' which is not on PATH. 2025-09-07T13:18:59.1959584Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T13:19:03.2661776Z WARNING: The script isympy is installed in '/home/frank/.local/bin' which is not on PATH. 2025-09-07T13:19:03.2662645Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T13:19:38.6674643Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/frank/.local/bin' which is not on PATH. 2025-09-07T13:19:38.6675578Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T13:19:39.0724339Z Successfully installed MarkupSafe-3.0.2 filelock-3.19.1 fsspec-2025.9.0 jinja2-3.1.6 mpmath-1.3.0 networkx-3.4.2 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.5.1.17 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-cusparselt-cu12-0.6.3 nvidia-nccl-cu12-2.26.2 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.6.77 sympy-1.14.0 torch-2.7.1 triton-3.3.1 2025-09-07T13:19:39.6002824Z + echo DEVICE_NAME= 2025-09-07T13:19:39.6003141Z + echo DEVICE_TYPE= 2025-09-07T13:19:39.6036087Z ##[group]Run set -eux 2025-09-07T13:19:39.6036380Z set -eux 2025-09-07T13:19:39.6036615Z  2025-09-07T13:19:39.6036848Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T13:19:39.6037357Z  echo "Missing github-token input" 2025-09-07T13:19:39.6037691Z  exit 1 2025-09-07T13:19:39.6037923Z fi 2025-09-07T13:19:39.6050786Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:19:39.6051190Z env: 2025-09-07T13:19:39.6051418Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:39.6051767Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:39.6052247Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:39.6053011Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:39.6053522Z DEVICE_NAME: 2025-09-07T13:19:39.6053910Z DEVICE_TYPE: 2025-09-07T13:19:39.6054373Z GITHUB_TOKEN: *** 2025-09-07T13:19:39.6054608Z ##[endgroup] 2025-09-07T13:19:39.6163211Z + [[ -z *** ]] 2025-09-07T13:19:39.6280199Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T13:19:39.6280664Z with: 2025-09-07T13:19:39.6281102Z github-token: *** 2025-09-07T13:19:39.6281330Z env: 2025-09-07T13:19:39.6281556Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:39.6281901Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:39.6282373Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:39.6282970Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:39.6283477Z DEVICE_NAME: 2025-09-07T13:19:39.6283710Z DEVICE_TYPE: 2025-09-07T13:19:39.6283938Z ##[endgroup] 2025-09-07T13:19:39.6576815Z ##[group]Run set -eux 2025-09-07T13:19:39.6577092Z set -eux 2025-09-07T13:19:39.6577323Z  2025-09-07T13:19:39.6577827Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T13:19:39.6590143Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:19:39.6590547Z env: 2025-09-07T13:19:39.6590775Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:39.6591122Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:39.6591595Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:39.6592188Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:39.6592813Z DEVICE_NAME: 2025-09-07T13:19:39.6593056Z DEVICE_TYPE: 2025-09-07T13:19:39.6593526Z GITHUB_TOKEN: *** 2025-09-07T13:19:39.6593754Z ##[endgroup] 2025-09-07T13:19:39.6705733Z + python3 /home/frank/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525309334 i-04318a58cd30ea7bb-1006 2025-09-07T13:19:40.7613884Z setting job-id=49775768409 2025-09-07T13:19:40.7614458Z setting job-name=cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 5, 5, linux.aws.a100) 2025-09-07T13:19:40.7713676Z ##[group]Run set -eux 2025-09-07T13:19:40.7713961Z set -eux 2025-09-07T13:19:40.7714196Z  2025-09-07T13:19:40.7714426Z if [[ -n "" ]]; then 2025-09-07T13:19:40.7714709Z  source "" 2025-09-07T13:19:40.7714942Z fi 2025-09-07T13:19:40.7715161Z  2025-09-07T13:19:40.7715556Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T13:19:40.7716098Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T13:19:40.7716442Z  --repo "${REPO}" \ 2025-09-07T13:19:40.7716757Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T13:19:40.7717230Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T13:19:40.7717777Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T13:19:40.7718139Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T13:19:40.7718488Z  --job-id "${JOB_ID}" \ 2025-09-07T13:19:40.7718806Z  --job-name "${JOB_NAME}" 2025-09-07T13:19:40.7731199Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:19:40.7731594Z env: 2025-09-07T13:19:40.7731808Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:40.7732150Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:40.7732623Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:40.7733441Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:40.7733941Z DEVICE_NAME: 2025-09-07T13:19:40.7734171Z DEVICE_TYPE: 2025-09-07T13:19:40.7734409Z SCHEMA_VERSION: v3 2025-09-07T13:19:40.7734662Z REPO: pytorch/pytorch 2025-09-07T13:19:40.7734919Z HEAD_BRANCH: refs/heads/main 2025-09-07T13:19:40.7735306Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T13:19:40.7735665Z WORKFLOW_RUN_ID: 17525309334 2025-09-07T13:19:40.7736065Z RUN_ATTEMPT: 1 2025-09-07T13:19:40.7736287Z JOB_ID: 49775768409 2025-09-07T13:19:40.7736737Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 5, 5, linux.aws.a100) 2025-09-07T13:19:40.7737244Z ##[endgroup] 2025-09-07T13:19:40.7841456Z + [[ -n '' ]] 2025-09-07T13:19:40.7843681Z + python3 /home/frank/_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 49775768409 --job-name 'cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 5, 5, linux.aws.a100)' 2025-09-07T13:19:40.8142861Z ##[group]Run set -eux 2025-09-07T13:19:40.8143137Z set -eux 2025-09-07T13:19:40.8143368Z  2025-09-07T13:19:40.8143606Z if [[ -n "" ]]; then 2025-09-07T13:19:40.8143869Z  source "" 2025-09-07T13:19:40.8144120Z fi 2025-09-07T13:19:40.8144340Z  2025-09-07T13:19:40.8144749Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T13:19:40.8156869Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:19:40.8157375Z env: 2025-09-07T13:19:40.8157607Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:40.8157953Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:40.8158429Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:40.8159133Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:40.8159646Z DEVICE_NAME: 2025-09-07T13:19:40.8159882Z DEVICE_TYPE: 2025-09-07T13:19:40.8160113Z ##[endgroup] 2025-09-07T13:19:40.8269517Z + [[ -n '' ]] 2025-09-07T13:19:40.8270297Z + python3 /home/frank/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T13:19:41.6645059Z /home/frank/.local/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-09-07T13:19:41.6646336Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-09-07T13:19:42.9370854Z ##[group]Run set -eux 2025-09-07T13:19:42.9371139Z set -eux 2025-09-07T13:19:42.9371375Z  2025-09-07T13:19:42.9371633Z # TODO (huydhn): Implement this part 2025-09-07T13:19:42.9372053Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T13:19:42.9385055Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:19:42.9385460Z env: 2025-09-07T13:19:42.9385690Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:42.9386031Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:42.9386694Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:42.9387295Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:42.9387804Z DEVICE_NAME: 2025-09-07T13:19:42.9388036Z DEVICE_TYPE: 2025-09-07T13:19:42.9388263Z ##[endgroup] 2025-09-07T13:19:42.9500558Z + echo 'dependencies={}' 2025-09-07T13:19:42.9705246Z ##[group]Run set -eux 2025-09-07T13:19:42.9705538Z set -eux 2025-09-07T13:19:42.9705771Z  2025-09-07T13:19:42.9705988Z if [[ -n "" ]]; then 2025-09-07T13:19:42.9706270Z  source "" 2025-09-07T13:19:42.9706525Z fi 2025-09-07T13:19:42.9706739Z  2025-09-07T13:19:42.9706995Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T13:19:42.9707453Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T13:19:42.9707961Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T13:19:42.9708376Z  exit 0 2025-09-07T13:19:42.9708607Z fi 2025-09-07T13:19:42.9708924Z  2025-09-07T13:19:42.9709172Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T13:19:42.9709675Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T13:19:42.9710255Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T13:19:42.9710685Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T13:19:42.9711051Z  --runners "${RUNNER_INFO}" \ 2025-09-07T13:19:42.9711410Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T13:19:42.9711757Z  --dry-run 2025-09-07T13:19:42.9711998Z else 2025-09-07T13:19:42.9712388Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T13:19:42.9712961Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T13:19:42.9713401Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T13:19:42.9713765Z  --runners "${RUNNER_INFO}" \ 2025-09-07T13:19:42.9714111Z  --dependencies "${DEPENDENCIES}" 2025-09-07T13:19:42.9714439Z fi 2025-09-07T13:19:42.9726275Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:19:42.9726668Z env: 2025-09-07T13:19:42.9726897Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:42.9727227Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:42.9727692Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:42.9728292Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:42.9728907Z DEVICE_NAME: 2025-09-07T13:19:42.9729126Z DEVICE_TYPE: 2025-09-07T13:19:42.9729387Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T13:19:42.9729709Z DRY_RUN: false 2025-09-07T13:19:42.9731098Z BENCHMARK_METADATA: {"timestamp": 1757251180, "schema_version": "v3", "name": "cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 5, 5, linux.aws.a100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525309334, "run_attempt": 1, "job_id": 49775768409} 2025-09-07T13:19:42.9733257Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 1121, "extra_info": {"hostname": "96c3a9a3db41"}, "name": "cuda", "type": "NVIDIA A100-SXM4-40GB", "gpu_count": 1, "avail_gpu_mem_in_gb": 39}] 2025-09-07T13:19:42.9734106Z DEPENDENCIES: {} 2025-09-07T13:19:42.9734336Z ##[endgroup] 2025-09-07T13:19:42.9830339Z + [[ -n '' ]] 2025-09-07T13:19:42.9830599Z + [[ ! -d test/test-reports ]] 2025-09-07T13:19:42.9830894Z + [[ false == \t\r\u\e ]] 2025-09-07T13:19:42.9834033Z + python3 /home/frank/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1757251180, "schema_version": "v3", "name": "cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 5, 5, linux.aws.a100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525309334, "run_attempt": 1, "job_id": 49775768409}' --runners '[{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 1121, "extra_info": {"hostname": "96c3a9a3db41"}, "name": "cuda", "type": "NVIDIA A100-SXM4-40GB", "gpu_count": 1, "avail_gpu_mem_in_gb": 39}]' --dependencies '{}' 2025-09-07T13:19:43.1172900Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance.json 2025-09-07T13:19:43.1534397Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T13:19:43.3922401Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T13:19:43.5675210Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_max_autotune_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T13:19:43.7273171Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T13:19:43.8922056Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T13:19:44.0910565Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T13:19:44.2555207Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T13:19:44.4731297Z INFO:root:Upload test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T13:19:44.6859311Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T13:19:44.8453592Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T13:19:45.0476387Z 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/17525309334/49775768409/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T13:19:45.2390612Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T13:19:45.4310657Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_with_cudagraphs_huggingface_amp_training_cuda_accuracy.json 2025-09-07T13:19:45.6394491Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T13:19:45.8440177Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance.json 2025-09-07T13:19:45.9963873Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T13:19:46.1830461Z INFO:root:Upload test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T13:19:46.3411726Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_dynamic_huggingface_amp_training_cuda_accuracy.json 2025-09-07T13:19:46.5739146Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_max_autotune_huggingface_amp_training_cuda_performance.json 2025-09-07T13:19:46.7360137Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T13:19:46.9033501Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_dynamic_huggingface_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T13:19:47.2106004Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T13:19:47.3794691Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T13:19:47.6633054Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_no_cudagraphs_huggingface_amp_training_cuda_accuracy.json 2025-09-07T13:19:47.8135691Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T13:19:47.9983979Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T13:19:48.3185642Z INFO:root:Upload test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T13:19:48.4753709Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_max_autotune_huggingface_amp_training_cuda_accuracy.json 2025-09-07T13:19:48.6388620Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance.json 2025-09-07T13:19:48.9020741Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T13:19:49.0613470Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T13:19:49.2324927Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_dynamic_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T13:19:49.4044572Z INFO:root:Upload test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_export_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T13:19:49.5620760Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_dynamic_huggingface_amp_training_cuda_performance.json 2025-09-07T13:19:49.7799697Z 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/17525309334/49775768409/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T13:19:49.9527114Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T13:19:50.1395704Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_cpp_wrapper_huggingface_amp_training_cuda_accuracy.json 2025-09-07T13:19:50.3092049Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T13:19:50.4835252Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_max_autotune_huggingface_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T13:19:50.6991952Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768409/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T13:19:50.9086692Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T13:19:50.9087103Z cat test/**/*_toprint.log || true 2025-09-07T13:19:50.9100287Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:19:50.9100682Z env: 2025-09-07T13:19:50.9100912Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:50.9101257Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:50.9101714Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:50.9102309Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:50.9102822Z DEVICE_NAME: 2025-09-07T13:19:50.9103053Z DEVICE_TYPE: 2025-09-07T13:19:50.9103286Z ##[endgroup] 2025-09-07T13:19:50.9288526Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T13:19:50.9424671Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T13:19:50.9425034Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T13:19:50.9436720Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:19:50.9437349Z env: 2025-09-07T13:19:50.9437578Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:50.9437927Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:50.9438385Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:50.9438982Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:50.9439490Z DEVICE_NAME: 2025-09-07T13:19:50.9439724Z DEVICE_TYPE: 2025-09-07T13:19:50.9439967Z MONITOR_SCRIPT_PID: 9304 2025-09-07T13:19:50.9440224Z ##[endgroup] 2025-09-07T13:19:50.9689058Z Prepare all required actions 2025-09-07T13:19:50.9689523Z Getting action download info 2025-09-07T13:19:51.1236273Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T13:19:51.9625515Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T13:19:54.3786746Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T13:19:54.3787145Z with: 2025-09-07T13:19:54.3787535Z file-suffix: test-inductor_huggingface_perf-5-5-linux.aws.a100_49775768409 2025-09-07T13:19:54.3788005Z s3-bucket: gha-artifacts 2025-09-07T13:19:54.3788286Z env: 2025-09-07T13:19:54.3788493Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:54.3788837Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:54.3789311Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:54.3789962Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:54.3790598Z DEVICE_NAME: 2025-09-07T13:19:54.3790839Z DEVICE_TYPE: 2025-09-07T13:19:54.3791073Z ##[endgroup] 2025-09-07T13:19:54.3904071Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T13:19:54.3904568Z # Remove any previous test jsons if they exist 2025-09-07T13:19:54.3904960Z rm -f test-jsons-*.zip 2025-09-07T13:19:54.3905388Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T13:19:54.3918293Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:19:54.3918689Z env: 2025-09-07T13:19:54.3918916Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:54.3919257Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:54.3919715Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:54.3920313Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:54.3920823Z DEVICE_NAME: 2025-09-07T13:19:54.3921070Z DEVICE_TYPE: 2025-09-07T13:19:54.3921453Z FILE_SUFFIX: test-inductor_huggingface_perf-5-5-linux.aws.a100_49775768409 2025-09-07T13:19:54.3921897Z ##[endgroup] 2025-09-07T13:19:54.4093856Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T13:19:54.4128710Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T13:19:54.4151966Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T13:19:54.4175398Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T13:19:54.4281423Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:19:54.4315922Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T13:19:54.4408022Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:19:54.4482473Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:19:54.4517089Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T13:19:54.4628082Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:19:54.4722430Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:19:54.4832607Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:19:54.4851666Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T13:19:54.4939584Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:19:54.4974726Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T13:19:54.4998012Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T13:19:54.5032691Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T13:19:54.5051869Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T13:19:54.5086592Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T13:19:54.5110180Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T13:19:54.5221052Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:19:54.5255960Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T13:19:54.5362372Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:19:54.5385576Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T13:19:54.5420296Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T13:19:54.5516655Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:19:54.5539630Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T13:19:54.5558950Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T13:19:54.5593560Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T13:19:54.5616958Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T13:19:54.5640166Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T13:19:54.5663317Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T13:19:54.7296178Z adding: test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T13:19:54.7330684Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T13:19:54.7437712Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:19:54.7530596Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:19:54.7553830Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T13:19:54.7588392Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T13:19:54.7714997Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:19:54.7749861Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T13:19:54.7840588Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T13:19:54.7841078Z # Remove any previous test reports if they exist 2025-09-07T13:19:54.7841485Z rm -f test-reports-*.zip 2025-09-07T13:19:54.7841980Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T13:19:54.7854384Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:19:54.7854785Z env: 2025-09-07T13:19:54.7854998Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:54.7855348Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:54.7855818Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:54.7856419Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:54.7856932Z DEVICE_NAME: 2025-09-07T13:19:54.7857293Z DEVICE_TYPE: 2025-09-07T13:19:54.7857682Z FILE_SUFFIX: test-inductor_huggingface_perf-5-5-linux.aws.a100_49775768409 2025-09-07T13:19:54.7858138Z ##[endgroup] 2025-09-07T13:19:54.7995933Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_accuracy.csv (deflated 56%) 2025-09-07T13:19:54.7996878Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 68%) 2025-09-07T13:19:54.7997862Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_accuracy.csv (deflated 56%) 2025-09-07T13:19:54.7998781Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance.csv (deflated 52%) 2025-09-07T13:19:54.7999720Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance.csv (deflated 51%) 2025-09-07T13:19:54.8000725Z adding: test/test-reports/inductor_cudagraphs_low_precision_huggingface_quant_inference_cuda_accuracy.csv (deflated 58%) 2025-09-07T13:19:54.8001840Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T13:19:54.8002896Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance.csv (deflated 50%) 2025-09-07T13:19:54.8003823Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance.csv (deflated 50%) 2025-09-07T13:19:54.8004729Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 59%) 2025-09-07T13:19:54.8005747Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 57%) 2025-09-07T13:19:54.8006873Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T13:19:54.8007872Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_accuracy.csv (deflated 54%) 2025-09-07T13:19:54.8008783Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 58%) 2025-09-07T13:19:54.8009787Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T13:19:54.8010913Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance.csv (deflated 51%) 2025-09-07T13:19:54.8012123Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance.csv (deflated 51%) 2025-09-07T13:19:54.8013203Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_accuracy.csv (deflated 54%) 2025-09-07T13:19:54.8014159Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance.csv (deflated 51%) 2025-09-07T13:19:54.8015274Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance.csv (deflated 51%) 2025-09-07T13:19:54.8016340Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T13:19:54.8017471Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T13:19:54.8018524Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 58%) 2025-09-07T13:19:54.8019543Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T13:19:54.8021474Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T13:19:54.8022515Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance.csv (deflated 51%) 2025-09-07T13:19:54.8023620Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 58%) 2025-09-07T13:19:54.8024672Z adding: test/test-reports/inductor_cudagraphs_low_precision_huggingface_quant_inference_cuda_performance.csv (deflated 51%) 2025-09-07T13:19:54.8025774Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T13:19:54.8026971Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T13:19:54.8029268Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 52%) 2025-09-07T13:19:54.8031440Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T13:19:54.8032486Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance.csv (deflated 53%) 2025-09-07T13:19:54.8034501Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 52%) 2025-09-07T13:19:54.8035599Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_accuracy.csv (deflated 55%) 2025-09-07T13:19:54.8036569Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance.csv (deflated 52%) 2025-09-07T13:19:54.8037672Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_performance.csv (deflated 51%) 2025-09-07T13:19:54.8038727Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T13:19:54.8039776Z adding: test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 59%) 2025-09-07T13:19:54.8040707Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 58%) 2025-09-07T13:19:54.8041637Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_performance.csv (deflated 51%) 2025-09-07T13:19:54.8042660Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 57%) 2025-09-07T13:19:54.8299693Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T13:19:54.8300248Z # Remove any previous usage logs if they exist 2025-09-07T13:19:54.8300626Z rm -f logs-*.zip 2025-09-07T13:19:54.8300972Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T13:19:54.8301499Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T13:19:54.8313017Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:19:54.8313410Z env: 2025-09-07T13:19:54.8313637Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:54.8314130Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:54.8314604Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:54.8315205Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:54.8315714Z DEVICE_NAME: 2025-09-07T13:19:54.8315947Z DEVICE_TYPE: 2025-09-07T13:19:54.8316320Z FILE_SUFFIX: test-inductor_huggingface_perf-5-5-linux.aws.a100_49775768409 2025-09-07T13:19:54.8316779Z ##[endgroup] 2025-09-07T13:19:54.8581922Z adding: usage_log.txt (deflated 92%) 2025-09-07T13:19:54.8595166Z 2025-09-07T13:19:54.8595545Z zip error: Nothing to do! (logs-test-inductor_huggingface_perf-5-5-linux.aws.a100_49775768409.zip) 2025-09-07T13:19:54.8740307Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T13:19:54.8740846Z # Remove any previous debugging artifacts if they exist 2025-09-07T13:19:54.8741258Z rm -f debug-*.zip 2025-09-07T13:19:54.8741664Z if [ -d 'test/debug' ]; then 2025-09-07T13:19:54.8742029Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T13:19:54.8742364Z fi 2025-09-07T13:19:54.8753541Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:19:54.8753935Z env: 2025-09-07T13:19:54.8754157Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:54.8754488Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:54.8754954Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:54.8755535Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:54.8756034Z DEVICE_NAME: 2025-09-07T13:19:54.8756260Z DEVICE_TYPE: 2025-09-07T13:19:54.8756630Z FILE_SUFFIX: test-inductor_huggingface_perf-5-5-linux.aws.a100_49775768409 2025-09-07T13:19:54.8757194Z ##[endgroup] 2025-09-07T13:19:54.8957352Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T13:19:54.8957689Z with: 2025-09-07T13:19:54.8957930Z s3-bucket: gha-artifacts 2025-09-07T13:19:54.8958256Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T13:19:54.8958609Z retention-days: 14 2025-09-07T13:19:54.8958854Z if-no-files-found: warn 2025-09-07T13:19:54.8959127Z path: test-jsons-*.zip 2025-09-07T13:19:54.8959385Z name: artifact 2025-09-07T13:19:54.8959615Z region: us-east-1 2025-09-07T13:19:54.8959835Z env: 2025-09-07T13:19:54.8960042Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:54.8960384Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:54.8960839Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:54.8961439Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:54.8961936Z DEVICE_NAME: 2025-09-07T13:19:54.8962155Z DEVICE_TYPE: 2025-09-07T13:19:54.8962362Z ##[endgroup] 2025-09-07T13:19:55.2282349Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T13:19:55.2282871Z With the provided path, there will be 1 file uploaded 2025-09-07T13:19:55.2283342Z Uploading to s3 prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T13:19:55.2291137Z Starting upload of test-jsons-test-inductor_huggingface_perf-5-5-linux.aws.a100_49775768409.zip 2025-09-07T13:19:55.5916324Z Finished upload of test-jsons-test-inductor_huggingface_perf-5-5-linux.aws.a100_49775768409.zip 2025-09-07T13:19:55.6176075Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T13:19:55.6176580Z with: 2025-09-07T13:19:55.6176816Z s3-bucket: gha-artifacts 2025-09-07T13:19:55.6177149Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T13:19:55.6177500Z retention-days: 14 2025-09-07T13:19:55.6177765Z if-no-files-found: error 2025-09-07T13:19:55.6178060Z path: test-reports-*.zip 2025-09-07T13:19:55.6178333Z name: artifact 2025-09-07T13:19:55.6178562Z region: us-east-1 2025-09-07T13:19:55.6178798Z env: 2025-09-07T13:19:55.6179014Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:55.6179521Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:55.6179989Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:55.6180597Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:55.6181106Z DEVICE_NAME: 2025-09-07T13:19:55.6181339Z DEVICE_TYPE: 2025-09-07T13:19:55.6181571Z ##[endgroup] 2025-09-07T13:19:55.9491259Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T13:19:55.9491772Z With the provided path, there will be 1 file uploaded 2025-09-07T13:19:55.9492242Z Uploading to s3 prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T13:19:55.9500184Z Starting upload of test-reports-test-inductor_huggingface_perf-5-5-linux.aws.a100_49775768409.zip 2025-09-07T13:19:56.1401828Z Finished upload of test-reports-test-inductor_huggingface_perf-5-5-linux.aws.a100_49775768409.zip 2025-09-07T13:19:56.1672771Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T13:19:56.1673129Z with: 2025-09-07T13:19:56.1673383Z s3-bucket: gha-artifacts 2025-09-07T13:19:56.1673849Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T13:19:56.1674199Z retention-days: 14 2025-09-07T13:19:56.1674467Z if-no-files-found: ignore 2025-09-07T13:19:56.1674754Z path: logs-*.zip 2025-09-07T13:19:56.1675000Z name: artifact 2025-09-07T13:19:56.1675224Z region: us-east-1 2025-09-07T13:19:56.1675457Z env: 2025-09-07T13:19:56.1675669Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:56.1676023Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:56.1676474Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:56.1677177Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:56.1677695Z DEVICE_NAME: 2025-09-07T13:19:56.1677928Z DEVICE_TYPE: 2025-09-07T13:19:56.1678143Z ##[endgroup] 2025-09-07T13:19:56.5216242Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T13:19:56.5216736Z With the provided path, there will be 1 file uploaded 2025-09-07T13:19:56.5217221Z Uploading to s3 prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T13:19:56.5225067Z Starting upload of logs-test-inductor_huggingface_perf-5-5-linux.aws.a100_49775768409.zip 2025-09-07T13:19:56.7300180Z Finished upload of logs-test-inductor_huggingface_perf-5-5-linux.aws.a100_49775768409.zip 2025-09-07T13:19:56.7576150Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T13:19:56.7576507Z with: 2025-09-07T13:19:56.7576756Z s3-bucket: gha-artifacts 2025-09-07T13:19:56.7577096Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T13:19:56.7577440Z retention-days: 14 2025-09-07T13:19:56.7577703Z if-no-files-found: ignore 2025-09-07T13:19:56.7577982Z path: debug-*.zip 2025-09-07T13:19:56.7578219Z name: artifact 2025-09-07T13:19:56.7578440Z region: us-east-1 2025-09-07T13:19:56.7578673Z env: 2025-09-07T13:19:56.7578889Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:56.7579230Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:56.7579701Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:56.7580300Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:56.7580802Z DEVICE_NAME: 2025-09-07T13:19:56.7581035Z DEVICE_TYPE: 2025-09-07T13:19:56.7581263Z ##[endgroup] 2025-09-07T13:19:57.0830524Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T13:19:57.1045818Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T13:19:57.1046183Z # shellcheck disable=SC2156 2025-09-07T13:19:57.1046790Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T13:19:57.1060033Z shell: /usr/bin/bash -e {0} 2025-09-07T13:19:57.1060325Z env: 2025-09-07T13:19:57.1060551Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:57.1060887Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:57.1061359Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:57.1061970Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:57.1062486Z DEVICE_NAME: 2025-09-07T13:19:57.1062724Z DEVICE_TYPE: 2025-09-07T13:19:57.1062939Z ##[endgroup] 2025-09-07T13:19:58.3439112Z Prepare all required actions 2025-09-07T13:19:58.3439532Z Getting action download info 2025-09-07T13:19:58.4551675Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T13:19:58.4552066Z with: 2025-09-07T13:19:58.4552284Z job_id: 49775768409 2025-09-07T13:19:58.4552745Z job_name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 5, 5, linux.aws.a100) 2025-09-07T13:19:58.4553280Z workflow_name: inductor-A100-perf-nightly 2025-09-07T13:19:58.4553623Z workflow_run_id: 17525309334 2025-09-07T13:19:58.4553911Z workflow_attempt: 1 2025-09-07T13:19:58.4554166Z env: 2025-09-07T13:19:58.4554372Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:58.4554716Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:58.4555291Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:58.4555893Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:58.4556438Z DEVICE_NAME: 2025-09-07T13:19:58.4556672Z DEVICE_TYPE: 2025-09-07T13:19:58.4556888Z ##[endgroup] 2025-09-07T13:19:58.4906184Z ##[group]Run echo "workflow_id: 17525309334" 2025-09-07T13:19:58.4906641Z echo "workflow_id: 17525309334" 2025-09-07T13:19:58.4906978Z echo "workflow_attempt: 1" 2025-09-07T13:19:58.4907379Z echo "workflow_Name: inductor-A100-perf-nightly" 2025-09-07T13:19:58.4907783Z echo "job_id: 49775768409" 2025-09-07T13:19:58.4908345Z echo "job_name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 5, 5, linux.aws.a100)" 2025-09-07T13:19:58.4908917Z echo "artifact_prefix: " 2025-09-07T13:19:58.4909236Z python3 --version 2025-09-07T13:19:58.4922025Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:19:58.4922425Z env: 2025-09-07T13:19:58.4922637Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:58.4922985Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:58.4923468Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:58.4924066Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:58.4924576Z DEVICE_NAME: 2025-09-07T13:19:58.4924798Z DEVICE_TYPE: 2025-09-07T13:19:58.4925027Z ##[endgroup] 2025-09-07T13:19:58.5021823Z workflow_id: 17525309334 2025-09-07T13:19:58.5022137Z workflow_attempt: 1 2025-09-07T13:19:58.5022417Z workflow_Name: inductor-A100-perf-nightly 2025-09-07T13:19:58.5022754Z job_id: 49775768409 2025-09-07T13:19:58.5023210Z job_name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 5, 5, linux.aws.a100) 2025-09-07T13:19:58.5023725Z artifact_prefix: 2025-09-07T13:19:58.5036253Z Python 3.10.12 2025-09-07T13:19:58.5202502Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T13:19:58.5202832Z with: 2025-09-07T13:19:58.5203033Z shell: bash 2025-09-07T13:19:58.5203272Z timeout_minutes: 5 2025-09-07T13:19:58.5203525Z max_attempts: 5 2025-09-07T13:19:58.5203783Z retry_wait_seconds: 30 2025-09-07T13:19:58.5204348Z command: set -eu python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7 2025-09-07T13:19:58.5205060Z polling_interval_seconds: 1 2025-09-07T13:19:58.5205357Z warning_on_retry: true 2025-09-07T13:19:58.5205631Z continue_on_error: false 2025-09-07T13:19:58.5205899Z env: 2025-09-07T13:19:58.5206102Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:19:58.5206441Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:19:58.5206908Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:19:58.5207503Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:19:58.5208004Z DEVICE_NAME: 2025-09-07T13:19:58.5208233Z DEVICE_TYPE: 2025-09-07T13:19:58.5208460Z ##[endgroup] 2025-09-07T13:19:58.9060243Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T13:19:59.2404591Z Collecting python-dateutil==2.8.2 2025-09-07T13:19:59.4231038Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T13:19:59.5728414Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 247.7/247.7 KB 1.6 MB/s eta 0:00:00 2025-09-07T13:20:00.3395850Z Collecting boto3==1.35.42 2025-09-07T13:20:00.3511688Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T13:20:00.4875891Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.2/139.2 KB 960.0 kB/s eta 0:00:00 2025-09-07T13:20:00.8920653Z Collecting pandas==2.1.3 2025-09-07T13:20:00.9042136Z Downloading pandas-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T13:20:01.6876647Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.3/12.3 MB 16.7 MB/s eta 0:00:00 2025-09-07T13:20:01.7492761Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/frank/.local/lib/python3.10/site-packages (0.6.7) 2025-09-07T13:20:01.7511588Z Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil==2.8.2) (1.16.0) 2025-09-07T13:20:01.7561719Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/frank/.local/lib/python3.10/site-packages (from boto3==1.35.42) (0.10.4) 2025-09-07T13:20:01.7567229Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/frank/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.35.99) 2025-09-07T13:20:01.7572562Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /home/frank/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.0.1) 2025-09-07T13:20:01.9806345Z Collecting tzdata>=2022.1 2025-09-07T13:20:01.9912078Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T13:20:02.1151546Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 347.8/347.8 KB 2.8 MB/s eta 0:00:00 2025-09-07T13:20:02.6627906Z Collecting numpy<2,>=1.22.4 2025-09-07T13:20:02.6732544Z Downloading numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T13:20:03.3071330Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 18.2/18.2 MB 20.2 MB/s eta 0:00:00 2025-09-07T13:20:03.5355942Z Collecting pytz>=2020.1 2025-09-07T13:20:03.5460971Z Downloading pytz-2025.2-py2.py3-none-any.whl (509 kB) 2025-09-07T13:20:03.7347069Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 509.2/509.2 KB 2.7 MB/s eta 0:00:00 2025-09-07T13:20:03.7433833Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/frank/.local/lib/python3.10/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-09-07T13:20:03.7441683Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/frank/.local/lib/python3.10/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-09-07T13:20:03.7508061Z 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) 2025-09-07T13:20:03.7628968Z Requirement already satisfied: packaging>=17.0 in /home/frank/.local/lib/python3.10/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-09-07T13:20:03.7742439Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/frank/.local/lib/python3.10/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0) 2025-09-07T13:20:03.7747884Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/frank/.local/lib/python3.10/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-09-07T13:20:04.0746514Z Installing collected packages: pytz, tzdata, python-dateutil, numpy, pandas, boto3 2025-09-07T13:20:06.5992507Z WARNING: The script f2py is installed in '/home/frank/.local/bin' which is not on PATH. 2025-09-07T13:20:06.5993353Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T13:20:10.4438755Z Attempting uninstall: boto3 2025-09-07T13:20:10.4445747Z Found existing installation: boto3 1.35.33 2025-09-07T13:20:10.4638728Z Uninstalling boto3-1.35.33: 2025-09-07T13:20:10.4656266Z Successfully uninstalled boto3-1.35.33 2025-09-07T13:20:10.9056342Z 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 2025-09-07T13:20:11.6048205Z Command completed after 1 attempt(s). 2025-09-07T13:20:11.6205852Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T13:20:11.6207993Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T13:20:11.6208513Z  --workflow-run-id "17525309334" \ 2025-09-07T13:20:11.6208937Z  --workflow-name "inductor-A100-perf-nightly" \ 2025-09-07T13:20:11.6209357Z  --workflow-run-attempt "1" \ 2025-09-07T13:20:11.6209698Z  --job-id "49775768409" \ 2025-09-07T13:20:11.6210378Z  --job-name "cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 5, 5, linux.aws.a100)" \ 2025-09-07T13:20:11.6210942Z  --local-path "" \ 2025-09-07T13:20:11.6211247Z  --artifact-prefix "" 2025-09-07T13:20:11.6224229Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:20:11.6224629Z env: 2025-09-07T13:20:11.6224858Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:20:11.6225195Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:20:11.6225680Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T13:20:11.6226283Z DOCKER_CONTAINER_ID: 1d42aa8a446b4051cb2366f90b6f81081d59399e55c6d774a861f15f569ecd70 2025-09-07T13:20:11.6226797Z DEVICE_NAME: 2025-09-07T13:20:11.6227018Z DEVICE_TYPE: 2025-09-07T13:20:11.6227253Z ##[endgroup] 2025-09-07T13:20:14.7298115Z repo: pytorch/pytorch 2025-09-07T13:20:14.7298517Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T13:20:14.7299092Z Downloading logs-test-inductor_huggingface_perf-5-5-linux.aws.a100_49775768409.zip 2025-09-07T13:20:14.7299923Z extracting usage_log.txt from zip file logs-test-inductor_huggingface_perf-5-5-linux.aws.a100_49775768409.zip 2025-09-07T13:20:14.7300580Z Converted Log Model: UtilizationMetadata: 2025-09-07T13:20:14.7302120Z UtilizationMetadata(level='metadata', workflow_id='17525309334', job_id='49775768409', workflow_name='inductor-A100-perf-nightly', job_name='cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 5, 5, linux.aws.a100)', usage_collect_interval=4.0, data_model_version=1.5, start_at=1757233794, gpu_count=1, cpu_count=96, gpu_type='pynvml', error=None) 2025-09-07T13:20:14.7304012Z [Db Segments] detected pytest cmd: 4, generated segments: 4 2025-09-07T13:20:14.7304426Z [db model] Peek db timeseries 2025-09-07T13:20:14.7304716Z :{ 2025-09-07T13:20:14.7304932Z "created_at": 1757251214, 2025-09-07T13:20:14.7305210Z "type": "utilization", 2025-09-07T13:20:14.7305477Z "tags": [ 2025-09-07T13:20:14.7305703Z "record" 2025-09-07T13:20:14.7305915Z ], 2025-09-07T13:20:14.7306132Z "time_stamp": 1757233794, 2025-09-07T13:20:14.7306423Z "repo": "pytorch/pytorch", 2025-09-07T13:20:14.7306733Z "workflow_id": 17525309334, 2025-09-07T13:20:14.7307023Z "run_attempt": 1, 2025-09-07T13:20:14.7307263Z "job_id": 49775768409, 2025-09-07T13:20:14.7307578Z "workflow_name": "inductor-A100-perf-nightly", 2025-09-07T13:20:14.7308150Z "job_name": "cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 5, 5, linux.aws.a100)", 2025-09-07T13:20:14.7308673Z "json_data": "{}" 2025-09-07T13:20:14.7308902Z } 2025-09-07T13:20:14.7309419Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525309334/1/49775768409/metadata 2025-09-07T13:20:14.7310371Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525309334/1/49775768409/metadata 2025-09-07T13:20:14.7311364Z Writing 1150 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525309334/1/49775768409/time_series 2025-09-07T13:20:14.7312373Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525309334/1/49775768409/time_series 2025-09-07T13:20:14.8464754Z Post job cleanup. 2025-09-07T13:20:14.8831467Z Post job cleanup. 2025-09-07T13:20:14.9791711Z [command]/usr/bin/git version 2025-09-07T13:20:14.9826505Z git version 2.51.0 2025-09-07T13:20:14.9864729Z Temporarily overriding HOME='/home/frank/_work/_temp/4344e190-98b0-48dc-9e63-b7798ff0a9d9' before making global git config changes 2025-09-07T13:20:14.9865629Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T13:20:14.9869578Z [command]/usr/bin/git config --global --add safe.directory /home/frank/_work/pytorch/pytorch 2025-09-07T13:20:14.9943482Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T13:20:14.9973194Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T13:20:15.0200230Z Entering 'android/libs/fbjni' 2025-09-07T13:20:15.0242073Z Entering 'third_party/FP16' 2025-09-07T13:20:15.0284008Z Entering 'third_party/FXdiv' 2025-09-07T13:20:15.0325283Z Entering 'third_party/NNPACK' 2025-09-07T13:20:15.0366846Z Entering 'third_party/NVTX' 2025-09-07T13:20:15.0409135Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T13:20:15.0450377Z Entering 'third_party/XNNPACK' 2025-09-07T13:20:15.0508490Z Entering 'third_party/aiter' 2025-09-07T13:20:15.0550876Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T13:20:15.0601090Z Entering 'third_party/benchmark' 2025-09-07T13:20:15.0643262Z Entering 'third_party/composable_kernel' 2025-09-07T13:20:15.0694402Z Entering 'third_party/cpp-httplib' 2025-09-07T13:20:15.0736341Z Entering 'third_party/cpuinfo' 2025-09-07T13:20:15.0778668Z Entering 'third_party/cudnn_frontend' 2025-09-07T13:20:15.0820325Z Entering 'third_party/cutlass' 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Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T13:20:15.1479563Z Entering 'third_party/gloo' 2025-09-07T13:20:15.1520536Z Entering 'third_party/googletest' 2025-09-07T13:20:15.1562247Z Entering 'third_party/ideep' 2025-09-07T13:20:15.1602573Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T13:20:15.1650442Z Entering 'third_party/ittapi' 2025-09-07T13:20:15.1691745Z Entering 'third_party/kineto' 2025-09-07T13:20:15.1732337Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T13:20:15.1771693Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T13:20:15.1812759Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T13:20:15.1852375Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T13:20:15.1892007Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T13:20:15.1930724Z Entering 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Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T13:20:15.2903718Z Entering 'third_party/pocketfft' 2025-09-07T13:20:15.2944381Z Entering 'third_party/protobuf' 2025-09-07T13:20:15.2988601Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T13:20:15.3028081Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T13:20:15.3069893Z Entering 'third_party/psimd' 2025-09-07T13:20:15.3111154Z Entering 'third_party/pthreadpool' 2025-09-07T13:20:15.3152418Z Entering 'third_party/pybind11' 2025-09-07T13:20:15.3194173Z Entering 'third_party/python-peachpy' 2025-09-07T13:20:15.3235555Z Entering 'third_party/sleef' 2025-09-07T13:20:15.3276534Z Entering 'third_party/tensorpipe' 2025-09-07T13:20:15.3318630Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T13:20:15.3357332Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T13:20:15.3396481Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T13:20:15.3435647Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T13:20:15.3474094Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T13:20:15.3531549Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T13:20:15.3553379Z http.https://github.com/.extraheader 2025-09-07T13:20:15.3562224Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T13:20:15.3690220Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T13:20:15.3910395Z Entering 'android/libs/fbjni' 2025-09-07T13:20:15.3933453Z http.https://github.com/.extraheader 2025-09-07T13:20:15.3971440Z Entering 'third_party/FP16' 2025-09-07T13:20:15.3994689Z http.https://github.com/.extraheader 2025-09-07T13:20:15.4070836Z Entering 'third_party/FXdiv' 2025-09-07T13:20:15.4094994Z http.https://github.com/.extraheader 2025-09-07T13:20:15.4206562Z Entering 'third_party/NNPACK' 2025-09-07T13:20:15.4230418Z http.https://github.com/.extraheader 2025-09-07T13:20:15.4327101Z Entering 'third_party/NVTX' 2025-09-07T13:20:15.4351134Z http.https://github.com/.extraheader 2025-09-07T13:20:15.4428905Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T13:20:15.4452537Z http.https://github.com/.extraheader 2025-09-07T13:20:15.4505263Z Entering 'third_party/XNNPACK' 2025-09-07T13:20:15.4529189Z http.https://github.com/.extraheader 2025-09-07T13:20:15.4641479Z Entering 'third_party/aiter' 2025-09-07T13:20:15.4665586Z http.https://github.com/.extraheader 2025-09-07T13:20:15.4731126Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T13:20:15.4754172Z http.https://github.com/.extraheader 2025-09-07T13:20:15.4847274Z Entering 'third_party/benchmark' 2025-09-07T13:20:15.4870984Z http.https://github.com/.extraheader 2025-09-07T13:20:15.4985924Z Entering 'third_party/composable_kernel' 2025-09-07T13:20:15.5009831Z http.https://github.com/.extraheader 2025-09-07T13:20:15.5065027Z Entering 'third_party/cpp-httplib' 2025-09-07T13:20:15.5088837Z http.https://github.com/.extraheader 2025-09-07T13:20:15.5172444Z Entering 'third_party/cpuinfo' 2025-09-07T13:20:15.5196406Z http.https://github.com/.extraheader 2025-09-07T13:20:15.5321187Z Entering 'third_party/cudnn_frontend' 2025-09-07T13:20:15.5344576Z http.https://github.com/.extraheader 2025-09-07T13:20:15.5406959Z Entering 'third_party/cutlass' 2025-09-07T13:20:15.5430552Z http.https://github.com/.extraheader 2025-09-07T13:20:15.5538086Z Entering 'third_party/fbgemm' 2025-09-07T13:20:15.5562197Z http.https://github.com/.extraheader 2025-09-07T13:20:15.5654179Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T13:20:15.5676106Z http.https://github.com/.extraheader 2025-09-07T13:20:15.5749444Z Entering 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http.https://github.com/.extraheader 2025-09-07T13:20:15.7337501Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T13:20:15.7360029Z http.https://github.com/.extraheader 2025-09-07T13:20:15.7463611Z Entering 'third_party/ittapi' 2025-09-07T13:20:15.7487148Z http.https://github.com/.extraheader 2025-09-07T13:20:15.7571434Z Entering 'third_party/kineto' 2025-09-07T13:20:15.7595203Z http.https://github.com/.extraheader 2025-09-07T13:20:15.7698901Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T13:20:15.7721883Z http.https://github.com/.extraheader 2025-09-07T13:20:15.7812729Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T13:20:15.7835107Z http.https://github.com/.extraheader 2025-09-07T13:20:15.7932799Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T13:20:15.7954854Z http.https://github.com/.extraheader 2025-09-07T13:20:15.8033069Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T13:20:15.8060148Z http.https://github.com/.extraheader 2025-09-07T13:20:15.8144058Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T13:20:15.8166741Z http.https://github.com/.extraheader 2025-09-07T13:20:15.9236199Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T13:20:15.9259944Z http.https://github.com/.extraheader 2025-09-07T13:20:15.9370486Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T13:20:15.9393638Z http.https://github.com/.extraheader 2025-09-07T13:20:15.9900978Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T13:20:15.9923710Z http.https://github.com/.extraheader 2025-09-07T13:20:16.0002315Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T13:20:16.0024780Z http.https://github.com/.extraheader 2025-09-07T13:20:16.0114707Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T13:20:16.0138245Z http.https://github.com/.extraheader 2025-09-07T13:20:16.0262508Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T13:20:16.0284901Z http.https://github.com/.extraheader 2025-09-07T13:20:16.0361161Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T13:20:16.0383560Z http.https://github.com/.extraheader 2025-09-07T13:20:16.0442194Z Entering 'third_party/kleidiai' 2025-09-07T13:20:16.0466173Z http.https://github.com/.extraheader 2025-09-07T13:20:16.0561607Z Entering 'third_party/mimalloc' 2025-09-07T13:20:16.0585121Z http.https://github.com/.extraheader 2025-09-07T13:20:16.0662991Z Entering 'third_party/nlohmann' 2025-09-07T13:20:16.0686772Z http.https://github.com/.extraheader 2025-09-07T13:20:16.0745602Z Entering 'third_party/onnx' 2025-09-07T13:20:16.0769191Z http.https://github.com/.extraheader 2025-09-07T13:20:16.0912298Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T13:20:16.0935697Z http.https://github.com/.extraheader 2025-09-07T13:20:16.0968365Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T13:20:16.0992421Z http.https://github.com/.extraheader 2025-09-07T13:20:16.1226867Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T13:20:16.1248904Z http.https://github.com/.extraheader 2025-09-07T13:20:16.1341318Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T13:20:16.1363959Z http.https://github.com/.extraheader 2025-09-07T13:20:16.1460783Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T13:20:16.1483409Z http.https://github.com/.extraheader 2025-09-07T13:20:16.1573353Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T13:20:16.1595297Z http.https://github.com/.extraheader 2025-09-07T13:20:16.1686433Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T13:20:16.1708781Z http.https://github.com/.extraheader 2025-09-07T13:20:16.1748870Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T13:20:16.1771645Z http.https://github.com/.extraheader 2025-09-07T13:20:16.1861575Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T13:20:16.1884161Z http.https://github.com/.extraheader 2025-09-07T13:20:16.1984542Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T13:20:16.2006894Z http.https://github.com/.extraheader 2025-09-07T13:20:16.2050824Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T13:20:16.2073373Z http.https://github.com/.extraheader 2025-09-07T13:20:16.2163414Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T13:20:16.2186080Z http.https://github.com/.extraheader 2025-09-07T13:20:16.2313907Z Entering 'third_party/pocketfft' 2025-09-07T13:20:16.2337734Z http.https://github.com/.extraheader 2025-09-07T13:20:16.2406263Z Entering 'third_party/protobuf' 2025-09-07T13:20:16.2430286Z http.https://github.com/.extraheader 2025-09-07T13:20:16.2526288Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T13:20:16.2548608Z http.https://github.com/.extraheader 2025-09-07T13:20:16.2623564Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T13:20:16.2646499Z http.https://github.com/.extraheader 2025-09-07T13:20:16.2766705Z Entering 'third_party/psimd' 2025-09-07T13:20:16.2789950Z http.https://github.com/.extraheader 2025-09-07T13:20:16.2884947Z Entering 'third_party/pthreadpool' 2025-09-07T13:20:16.2908952Z http.https://github.com/.extraheader 2025-09-07T13:20:16.2949187Z Entering 'third_party/pybind11' 2025-09-07T13:20:16.2973269Z http.https://github.com/.extraheader 2025-09-07T13:20:16.3097656Z Entering 'third_party/python-peachpy' 2025-09-07T13:20:16.3121338Z http.https://github.com/.extraheader 2025-09-07T13:20:16.3245071Z Entering 'third_party/sleef' 2025-09-07T13:20:16.3268361Z http.https://github.com/.extraheader 2025-09-07T13:20:16.3312970Z Entering 'third_party/tensorpipe' 2025-09-07T13:20:16.3337725Z http.https://github.com/.extraheader 2025-09-07T13:20:16.3427905Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T13:20:16.3450113Z http.https://github.com/.extraheader 2025-09-07T13:20:16.3546425Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T13:20:16.3569054Z http.https://github.com/.extraheader 2025-09-07T13:20:16.3665924Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T13:20:16.3688766Z http.https://github.com/.extraheader 2025-09-07T13:20:16.3725576Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T13:20:16.3748127Z http.https://github.com/.extraheader 2025-09-07T13:20:16.3844963Z Entering 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2025-09-07T13:20:16.8847676Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T13:20:16.8905200Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T13:20:16.8935304Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T13:20:16.9153627Z Entering 'android/libs/fbjni' 2025-09-07T13:20:16.9194199Z Entering 'third_party/FP16' 2025-09-07T13:20:16.9235144Z Entering 'third_party/FXdiv' 2025-09-07T13:20:16.9275347Z Entering 'third_party/NNPACK' 2025-09-07T13:20:16.9316542Z Entering 'third_party/NVTX' 2025-09-07T13:20:16.9358671Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T13:20:16.9398966Z Entering 'third_party/XNNPACK' 2025-09-07T13:20:16.9455302Z Entering 'third_party/aiter' 2025-09-07T13:20:16.9497097Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T13:20:16.9543952Z Entering 'third_party/benchmark' 2025-09-07T13:20:16.9584258Z Entering 'third_party/composable_kernel' 2025-09-07T13:20:16.9633721Z Entering 'third_party/cpp-httplib' 2025-09-07T13:20:16.9674722Z Entering 'third_party/cpuinfo' 2025-09-07T13:20:16.9715577Z Entering 'third_party/cudnn_frontend' 2025-09-07T13:20:16.9755934Z Entering 'third_party/cutlass' 2025-09-07T13:20:16.9805963Z Entering 'third_party/fbgemm' 2025-09-07T13:20:16.9849334Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T13:20:16.9888434Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T13:20:16.9935497Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T13:20:16.9975818Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T13:20:17.0024167Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T13:20:17.0065407Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T13:20:17.0104200Z Entering 'third_party/fbgemm/external/json' 2025-09-07T13:20:17.0146340Z Entering 'third_party/flash-attention' 2025-09-07T13:20:17.0187058Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T13:20:17.0231770Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T13:20:17.0279857Z Entering 'third_party/flatbuffers' 2025-09-07T13:20:17.0323291Z Entering 'third_party/fmt' 2025-09-07T13:20:17.0363865Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T13:20:17.0404184Z Entering 'third_party/gloo' 2025-09-07T13:20:17.0445207Z Entering 'third_party/googletest' 2025-09-07T13:20:17.0486120Z Entering 'third_party/ideep' 2025-09-07T13:20:17.0525458Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T13:20:17.0572974Z Entering 'third_party/ittapi' 2025-09-07T13:20:17.0613291Z Entering 'third_party/kineto' 2025-09-07T13:20:17.0653883Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T13:20:17.0692016Z Entering 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