2025-09-07T07:44:40.0866601Z Current runner version: '2.328.0' 2025-09-07T07:44:40.0872880Z Runner name: 'i-03028b1668c838483-1007' 2025-09-07T07:44:40.0873736Z Runner group name: 'default' 2025-09-07T07:44:40.0874644Z Machine name: '5e63917eb52b' 2025-09-07T07:44:40.0877372Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T07:44:40.0879594Z Contents: read 2025-09-07T07:44:40.0880298Z Metadata: read 2025-09-07T07:44:40.0880865Z ##[endgroup] 2025-09-07T07:44:40.0883789Z Secret source: Actions 2025-09-07T07:44:40.0884558Z Prepare workflow directory 2025-09-07T07:44:40.1397445Z Prepare all required actions 2025-09-07T07:44:40.1438342Z Getting action download info 2025-09-07T07:44:40.5308869Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T07:44:43.4911182Z Download action repository 'pytorch/pytorch@main' (SHA:ada43ed39c80b746b4822c92640a1882619e2795) 2025-09-07T07:45:11.1661793Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T07:45:11.4117957Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T07:45:12.2081154Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T07:45:12.3554796Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:45:12.5898184Z Getting action download info 2025-09-07T07:45:12.7286787Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T07:45:12.9978248Z Getting action download info 2025-09-07T07:45:13.1668492Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T07:45:13.3445473Z Getting action download info 2025-09-07T07:45:13.4466452Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T07:45:13.6128279Z Getting action download info 2025-09-07T07:45:13.7423658Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:45:13.7427670Z ##[group] Inputs 2025-09-07T07:45:13.7428099Z build-environment: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T07:45:13.7434262Z 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"}]} 2025-09-07T07:45:13.7441011Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:45:13.7442020Z sync-tag: 2025-09-07T07:45:13.7443021Z timeout-minutes: 1440 2025-09-07T07:45:13.7443289Z use-gha: 2025-09-07T07:45:13.7444535Z 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 2025-09-07T07:45:13.7445863Z s3-bucket: gha-artifacts 2025-09-07T07:45:13.7446150Z aws-role-to-assume: 2025-09-07T07:45:13.7446775Z disable-monitor: false 2025-09-07T07:45:13.7447119Z monitor-log-interval: 15 2025-09-07T07:45:13.7447433Z monitor-data-collect-interval: 4 2025-09-07T07:45:13.7447766Z ##[endgroup] 2025-09-07T07:45:13.7448230Z Complete job name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 4, 5, linux.aws.a100) 2025-09-07T07:45:13.7959355Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T07:45:13.7960155Z with: 2025-09-07T07:45:13.7960693Z github-secret: *** 2025-09-07T07:45:13.7961438Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T07:45:13.7962236Z activate-with-label: false 2025-09-07T07:45:13.7962528Z label: with-ssh 2025-09-07T07:45:13.7962786Z remove-existing-keys: true 2025-09-07T07:45:13.7963233Z fail-silently: true 2025-09-07T07:45:13.7963885Z env: 2025-09-07T07:45:13.7964121Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:45:13.7964392Z ##[endgroup] 2025-09-07T07:45:13.9100737Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T07:45:13.9101720Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T07:45:13.9310125Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T07:45:13.9310564Z with: 2025-09-07T07:45:13.9310791Z no-sudo: true 2025-09-07T07:45:13.9311034Z submodules: recursive 2025-09-07T07:45:13.9311301Z fetch-depth: 0 2025-09-07T07:45:13.9311520Z env: 2025-09-07T07:45:13.9311742Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:45:13.9312009Z ##[endgroup] 2025-09-07T07:45:13.9395772Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:45:13.9396792Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:45:13.9414271Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:45:13.9414691Z env: 2025-09-07T07:45:13.9414925Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:45:13.9415184Z ##[endgroup] 2025-09-07T07:45:13.9647001Z ##[group]Run actions/checkout@v4 2025-09-07T07:45:13.9647486Z with: 2025-09-07T07:45:13.9647909Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:45:13.9648496Z fetch-depth: 0 2025-09-07T07:45:13.9648895Z submodules: recursive 2025-09-07T07:45:13.9649325Z show-progress: false 2025-09-07T07:45:13.9649787Z repository: pytorch/pytorch 2025-09-07T07:45:13.9650536Z token: *** 2025-09-07T07:45:13.9650933Z ssh-strict: true 2025-09-07T07:45:13.9651345Z ssh-user: git 2025-09-07T07:45:13.9651728Z persist-credentials: true 2025-09-07T07:45:13.9652239Z clean: true 2025-09-07T07:45:13.9652651Z sparse-checkout-cone-mode: true 2025-09-07T07:45:13.9653144Z fetch-tags: false 2025-09-07T07:45:13.9653490Z lfs: false 2025-09-07T07:45:13.9653860Z set-safe-directory: true 2025-09-07T07:45:13.9654637Z env: 2025-09-07T07:45:13.9655092Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:45:13.9655482Z ##[endgroup] 2025-09-07T07:45:14.0733932Z Syncing repository: pytorch/pytorch 2025-09-07T07:45:14.0735336Z ##[group]Getting Git version info 2025-09-07T07:45:14.0735772Z Working directory is '/home/grace/_work/pytorch/pytorch' 2025-09-07T07:45:14.0736390Z [command]/usr/bin/git version 2025-09-07T07:45:14.0741831Z git version 2.51.0 2025-09-07T07:45:14.0767709Z ##[endgroup] 2025-09-07T07:45:14.0780234Z Temporarily overriding HOME='/home/grace/_work/_temp/8897e83f-d00a-4994-9d2d-979904d13a86' before making global git config changes 2025-09-07T07:45:14.0781158Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:45:14.0785766Z [command]/usr/bin/git config --global --add safe.directory /home/grace/_work/pytorch/pytorch 2025-09-07T07:45:14.0816790Z Deleting the contents of '/home/grace/_work/pytorch/pytorch' 2025-09-07T07:45:14.0820031Z ##[group]Initializing the repository 2025-09-07T07:45:14.0823481Z [command]/usr/bin/git init /home/grace/_work/pytorch/pytorch 2025-09-07T07:45:14.0863525Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T07:45:14.0864163Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T07:45:14.0864752Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T07:45:14.0865169Z hint: 2025-09-07T07:45:14.0865477Z hint: git config --global init.defaultBranch 2025-09-07T07:45:14.0865854Z hint: 2025-09-07T07:45:14.0866197Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T07:45:14.0866772Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T07:45:14.0867224Z hint: 2025-09-07T07:45:14.0867452Z hint: git branch -m 2025-09-07T07:45:14.0867726Z hint: 2025-09-07T07:45:14.0868107Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-09-07T07:45:14.0868754Z Initialized empty Git repository in /home/grace/_work/pytorch/pytorch/.git/ 2025-09-07T07:45:14.0873758Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T07:45:14.0908376Z ##[endgroup] 2025-09-07T07:45:14.0908853Z ##[group]Disabling automatic garbage collection 2025-09-07T07:45:14.0911484Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:45:14.0936867Z ##[endgroup] 2025-09-07T07:45:14.0937278Z ##[group]Setting up auth 2025-09-07T07:45:14.0943796Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:45:14.0971241Z [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' || :" 2025-09-07T07:45:14.1181873Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:45:14.1208392Z [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' || :" 2025-09-07T07:45:14.1408250Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:45:14.1443823Z ##[endgroup] 2025-09-07T07:45:14.1444293Z ##[group]Fetching the repository 2025-09-07T07:45:14.1451541Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:46:32.3611423Z From https://github.com/pytorch/pytorch 2025-09-07T07:46:32.3611986Z * [new branch] 160583 -> origin/160583 2025-09-07T07:46:32.3612516Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T07:46:32.3613038Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T07:46:32.3613674Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T07:46:32.3617589Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T07:46:32.3618220Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T07:46:32.3618909Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T07:46:32.3619585Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T07:46:32.3620163Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T07:46:32.3620800Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T07:46:32.3621424Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T07:46:32.3621996Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T07:46:32.3622567Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T07:46:32.3623163Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T07:46:32.3623751Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T07:46:32.3624359Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T07:46:32.3625078Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T07:46:32.3625780Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T07:46:32.3626597Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T07:46:32.3627216Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T07:46:32.3627809Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T07:46:32.3628332Z * [new branch] addsimde -> origin/addsimde 2025-09-07T07:46:32.3629059Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T07:46:32.3629572Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T07:46:32.3630083Z * [new branch] adi/test -> origin/adi/test 2025-09-07T07:46:32.3630582Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T07:46:32.3631112Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T07:46:32.3631647Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T07:46:32.3632355Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T07:46:32.3632960Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T07:46:32.3633522Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T07:46:32.3634120Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T07:46:32.3634717Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T07:46:32.3635279Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T07:46:32.3635884Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T07:46:32.3636551Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T07:46:32.3637151Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T07:46:32.3665251Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T07:46:32.3666265Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T07:46:32.3666985Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T07:46:32.3667606Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T07:46:32.3668217Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T07:46:32.3668797Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T07:46:32.3669441Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T07:46:32.3670029Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T07:46:32.3670587Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T07:46:32.3671171Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T07:46:32.3671736Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T07:46:32.3672294Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T07:46:32.3672857Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T07:46:32.3673450Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T07:46:32.3674012Z * [new branch] 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2025-09-07T07:46:32.5226241Z * [new branch] xmfan/ca_fix_polyfills -> origin/xmfan/ca_fix_polyfills 2025-09-07T07:46:32.5226538Z * [new branch] xmfan/ca_jan3 -> origin/xmfan/ca_jan3 2025-09-07T07:46:32.5226757Z * [new branch] xmfan/ca_jun18 -> origin/xmfan/ca_jun18 2025-09-07T07:46:32.5226952Z * [new branch] xmfan/ca_jun24 -> origin/xmfan/ca_jun24 2025-09-07T07:46:32.5227170Z * [new branch] xmfan/ca_mem_base -> origin/xmfan/ca_mem_base 2025-09-07T07:46:32.5227374Z * [new branch] xmfan/ca_mem_fix -> origin/xmfan/ca_mem_fix 2025-09-07T07:46:32.5227589Z * [new branch] xmfan/ca_memory_fix -> origin/xmfan/ca_memory_fix 2025-09-07T07:46:32.5227853Z * [new branch] xmfan/ca_memory_fix_rebased -> origin/xmfan/ca_memory_fix_rebased 2025-09-07T07:46:32.5228112Z * [new branch] xmfan/ca_memory_fix_rebased2 -> origin/xmfan/ca_memory_fix_rebased2 2025-09-07T07:46:32.5228343Z * [new branch] xmfan/ca_move_to_cuda -> origin/xmfan/ca_move_to_cuda 2025-09-07T07:46:32.5228550Z * [new branch] xmfan/ca_nested -> origin/xmfan/ca_nested 2025-09-07T07:46:32.5228759Z * [new branch] xmfan/ca_overhead -> origin/xmfan/ca_overhead 2025-09-07T07:46:32.5229033Z * [new branch] xmfan/ca_overhead_0eba7e5451 -> origin/xmfan/ca_overhead_0eba7e5451 2025-09-07T07:46:32.5229232Z * [new branch] xmfan/ca_scalar -> origin/xmfan/ca_scalar 2025-09-07T07:46:32.5229485Z * [new branch] xmfan/ca_subclass_mem_fix -> origin/xmfan/ca_subclass_mem_fix 2025-09-07T07:46:32.5229691Z * [new branch] xmfan/ca_warm_mem -> origin/xmfan/ca_warm_mem 2025-09-07T07:46:32.5229931Z * [new branch] xmfan/ca_warm_mem_base -> origin/xmfan/ca_warm_mem_base 2025-09-07T07:46:32.5230135Z * [new branch] xmfan/cacu_jun18 -> origin/xmfan/cacu_jun18 2025-09-07T07:46:32.5230341Z * [new branch] xmfan/cacu_jun19 -> origin/xmfan/cacu_jun19 2025-09-07T07:46:32.5230557Z * [new branch] xmfan/cacu_jun4 -> origin/xmfan/cacu_jun4 2025-09-07T07:46:32.5232010Z * [new branch] xmfan/cacu_may27 -> origin/xmfan/cacu_may27 2025-09-07T07:46:32.5232308Z * [new branch] xmfan/disable_duck_shape -> origin/xmfan/disable_duck_shape 2025-09-07T07:46:32.5232594Z * [new branch] xmfan/fca_cpp_node_passthrough -> origin/xmfan/fca_cpp_node_passthrough 2025-09-07T07:46:32.5232808Z * [new branch] xmfan/issue_123374 -> origin/xmfan/issue_123374 2025-09-07T07:46:32.5233282Z * [new branch] xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T07:46:32.5233723Z * [new branch] xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T07:46:32.5233965Z * [new branch] xmfan/segfault_test -> origin/xmfan/segfault_test 2025-09-07T07:46:32.5234184Z * [new branch] xmfan/single_step -> origin/xmfan/single_step 2025-09-07T07:46:32.5234395Z * [new branch] xmfan/sth_0829 -> origin/xmfan/sth_0829 2025-09-07T07:46:32.5234579Z * [new branch] xmfan/test -> origin/xmfan/test 2025-09-07T07:46:32.5234834Z * [new branch] yguo/debug-0226-constexpr -> origin/yguo/debug-0226-constexpr 2025-09-07T07:46:32.5235082Z * [new branch] yguo/new_latest_changes -> origin/yguo/new_latest_changes 2025-09-07T07:46:32.5235355Z * [new branch] yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes 2025-09-07T07:46:32.5235586Z * [new branch] yihan_quantization -> origin/yihan_quantization 2025-09-07T07:46:32.5235862Z * [new branch] yiming/add_jit_trace_benchmark -> origin/yiming/add_jit_trace_benchmark 2025-09-07T07:46:32.5236269Z * [new branch] yiming/add_nativert_benchmark -> origin/yiming/add_nativert_benchmark 2025-09-07T07:46:32.5236483Z * [new branch] yiming/bootcamp -> origin/yiming/bootcamp 2025-09-07T07:46:32.5236700Z * [new branch] zainr/canary-test -> origin/zainr/canary-test 2025-09-07T07:46:32.5236978Z * [new branch] zainr/cleanup-gh-runners -> origin/zainr/cleanup-gh-runners 2025-09-07T07:46:32.5237193Z * [new branch] zainr/git-push-v2 -> origin/zainr/git-push-v2 2025-09-07T07:46:32.5237451Z * [new branch] zainr/pull-migration-c -> origin/zainr/pull-migration-c 2025-09-07T07:46:32.5237637Z * [new branch] zainr/test -> origin/zainr/test 2025-09-07T07:46:32.5237835Z * [new branch] zainr/test2 -> origin/zainr/test2 2025-09-07T07:46:32.5238036Z * [new branch] zainr/unstable -> origin/zainr/unstable 2025-09-07T07:46:32.5238263Z * [new branch] zainr/unstable-xla -> origin/zainr/unstable-xla 2025-09-07T07:46:32.5238495Z * [new branch] zasdfgbnm-patch-3 -> origin/zasdfgbnm-patch-3 2025-09-07T07:46:32.5238664Z * [new branch] zb2p -> origin/zb2p 2025-09-07T07:46:32.5238907Z * [new branch] zero_grad_optimization -> origin/zero_grad_optimization 2025-09-07T07:46:32.5239156Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-09-07T07:46:32.5239380Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-09-07T07:46:32.5239621Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-09-07T07:46:32.5239807Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T07:46:32.5240302Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T07:46:32.5240481Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T07:46:32.5240775Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T07:46:32.5240974Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T07:46:32.5241163Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T07:46:32.5241366Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T07:46:32.5241555Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T07:46:32.5241759Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T07:46:32.5241949Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T07:46:32.5242140Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T07:46:32.5242340Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T07:46:32.5242532Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T07:46:32.5242947Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T07:46:32.5243200Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T07:46:32.5243454Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T07:46:32.5243676Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T07:46:32.5243893Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T07:46:32.5244125Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T07:46:32.5244454Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T07:46:32.5244690Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T07:46:32.5244910Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T07:46:32.5245163Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T07:46:32.5245373Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T07:46:32.5245580Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T07:46:32.5245798Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T07:46:32.5246006Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T07:46:32.5246221Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T07:46:32.5246430Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T07:46:32.5246641Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T07:46:32.5246857Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T07:46:32.5247062Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T07:46:32.5247275Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T07:46:32.5247481Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T07:46:32.5247697Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T07:46:32.5247870Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T07:46:32.5248043Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T07:46:32.5248224Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T07:46:32.5248511Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T07:46:32.5248691Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T07:46:32.5249094Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T07:46:32.5249452Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T07:46:32.5249716Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T07:46:32.5249974Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T07:46:32.5250243Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T07:46:32.5250466Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T07:46:32.5250700Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T07:46:32.5250917Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T07:46:32.5251131Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T07:46:32.5251360Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T07:46:32.5251575Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T07:46:32.5251787Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T07:46:32.5251982Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T07:46:32.5252185Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T07:46:32.5252478Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T07:46:32.5252670Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T07:46:32.5252873Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T07:46:32.5253063Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T07:46:32.5253266Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T07:46:32.5253458Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T07:46:32.5253648Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T07:46:32.5253851Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T07:46:32.5254043Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T07:46:32.5254249Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T07:46:32.5254445Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T07:46:32.5254645Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T07:46:32.5254837Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T07:46:32.5255028Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T07:46:32.5255229Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T07:46:32.5255415Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T07:46:32.5255616Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T07:46:32.5255807Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T07:46:32.5256012Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T07:46:32.5256290Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T07:46:32.5256478Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T07:46:32.5256676Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T07:46:32.5256864Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T07:46:32.5257066Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T07:46:32.5257255Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T07:46:32.5257536Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T07:46:32.5257748Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T07:46:32.5257943Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T07:46:32.5258144Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T07:46:32.5258342Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T07:46:32.5258548Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T07:46:32.5258737Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T07:46:32.5258927Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T07:46:32.5259126Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T07:46:32.5259315Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T07:46:32.5259518Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T07:46:32.5259810Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T07:46:32.5260000Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T07:46:32.5260207Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T07:46:32.5260397Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T07:46:32.5260600Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T07:46:32.5260789Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T07:46:32.5260990Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T07:46:32.5261181Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T07:46:32.5261371Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T07:46:32.5261579Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T07:46:32.5261771Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T07:46:32.5261979Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T07:46:32.5262172Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T07:46:32.5262362Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T07:46:32.5262561Z * [new tag] ciflow/inductor/160928 -> ciflow/inductor/160928 2025-09-07T07:46:32.5262748Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T07:46:32.5262952Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T07:46:32.5263143Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T07:46:32.5263344Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T07:46:32.5263540Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T07:46:32.5263815Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T07:46:32.5264023Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T07:46:32.5264214Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T07:46:32.5264417Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T07:46:32.5264607Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T07:46:32.5264796Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T07:46:32.5264998Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T07:46:32.5265188Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T07:46:32.5265391Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T07:46:32.5265584Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T07:46:32.5265784Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T07:46:32.5265974Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T07:46:32.5266162Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T07:46:32.5266366Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T07:46:32.5266556Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T07:46:32.5266757Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T07:46:32.5266946Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T07:46:32.5267227Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T07:46:32.5267432Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T07:46:32.5267625Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T07:46:32.5267830Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T07:46:32.5268021Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T07:46:32.5268223Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T07:46:32.5268414Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T07:46:32.5268605Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T07:46:32.5268809Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T07:46:32.5269003Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T07:46:32.5269213Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T07:46:32.5269402Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T07:46:32.5269592Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T07:46:32.5269797Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T07:46:32.5269988Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T07:46:32.5270187Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T07:46:32.5270379Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T07:46:32.5270582Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T07:46:32.5270775Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T07:46:32.5270963Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T07:46:32.5271259Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T07:46:32.5271450Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T07:46:32.5271652Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T07:46:32.5271839Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T07:46:32.5272030Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T07:46:32.5272229Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T07:46:32.5272418Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T07:46:32.5272626Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T07:46:32.5272819Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T07:46:32.5273024Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T07:46:32.5273216Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T07:46:32.5273406Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T07:46:32.5273607Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T07:46:32.5273795Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T07:46:32.5273997Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T07:46:32.5274187Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T07:46:32.5274494Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T07:46:32.5274687Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T07:46:32.5274878Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T07:46:32.5275080Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T07:46:32.5275272Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T07:46:32.5275476Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T07:46:32.5275667Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T07:46:32.5275859Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T07:46:32.5276064Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T07:46:32.5276252Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T07:46:32.5276459Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T07:46:32.5276652Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T07:46:32.5276860Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T07:46:32.5277047Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T07:46:32.5277235Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T07:46:32.5277435Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T07:46:32.5277624Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T07:46:32.5277823Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T07:46:32.5278010Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T07:46:32.5278201Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T07:46:32.5278490Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T07:46:32.5278679Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T07:46:32.5278880Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T07:46:32.5279068Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T07:46:32.5279270Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T07:46:32.5279459Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T07:46:32.5279645Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T07:46:32.5279845Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T07:46:32.5280037Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T07:46:32.5280241Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T07:46:32.5280429Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T07:46:32.5280613Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T07:46:32.5280818Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T07:46:32.5281010Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T07:46:32.5281214Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T07:46:32.5281403Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T07:46:32.5281606Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T07:46:32.5281885Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T07:46:32.5282078Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T07:46:32.5282279Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T07:46:32.5282467Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T07:46:32.5282671Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T07:46:32.5282993Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T07:46:32.5283182Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T07:46:32.5283384Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T07:46:32.5283575Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T07:46:32.5283781Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T07:46:32.5283972Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T07:46:32.5284177Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T07:46:32.5284367Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T07:46:32.5284556Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T07:46:32.5284756Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T07:46:32.5284944Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T07:46:32.5285140Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T07:46:32.5285326Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T07:46:32.5285518Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T07:46:32.5285721Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T07:46:32.5286012Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T07:46:32.5286217Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T07:46:32.5286407Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T07:46:32.5286610Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T07:46:32.5286801Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T07:46:32.5286994Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T07:46:32.5287200Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T07:46:32.5287395Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T07:46:32.5287600Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T07:46:32.5287794Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T07:46:32.5287985Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T07:46:32.5288192Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T07:46:32.5288380Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T07:46:32.5288584Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T07:46:32.5288774Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T07:46:32.5288976Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T07:46:32.5289163Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T07:46:32.5289452Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T07:46:32.5289672Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T07:46:32.5289868Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T07:46:32.5290079Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T07:46:32.5290293Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T07:46:32.5290504Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T07:46:32.5290726Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T07:46:32.5290901Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T07:46:32.5291087Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T07:46:32.5291263Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T07:46:32.5291451Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T07:46:32.5291618Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T07:46:32.5291784Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T07:46:32.5291982Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T07:46:32.5292169Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T07:46:32.5292394Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T07:46:32.5292671Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T07:46:32.5292956Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T07:46:32.5293161Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T07:46:32.5293450Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T07:46:32.5293657Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T07:46:32.5293847Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T07:46:32.5294047Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T07:46:32.5294249Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T07:46:32.5294447Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T07:46:32.5294649Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T07:46:32.5294845Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T07:46:32.5295082Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T07:46:32.5295323Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T07:46:32.5295569Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T07:46:32.5295798Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T07:46:32.5296024Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T07:46:32.5296284Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T07:46:32.5296499Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T07:46:32.5296710Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T07:46:32.5296990Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T07:46:32.5297182Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T07:46:32.5297470Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T07:46:32.5297664Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T07:46:32.5297870Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T07:46:32.5298062Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T07:46:32.5298266Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T07:46:32.5298459Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T07:46:32.5298652Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T07:46:32.5298859Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T07:46:32.5299046Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T07:46:32.5299255Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T07:46:32.5299445Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T07:46:32.5299625Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T07:46:32.5299813Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T07:46:32.5299984Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T07:46:32.5300166Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T07:46:32.5300337Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T07:46:32.5300520Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T07:46:32.5300697Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T07:46:32.5300963Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T07:46:32.5301149Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T07:46:32.5301319Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T07:46:32.5301503Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T07:46:32.5301672Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T07:46:32.5301842Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T07:46:32.5302026Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T07:46:32.5302194Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T07:46:32.5302377Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T07:46:32.5302556Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T07:46:32.5302746Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T07:46:32.5303276Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T07:46:32.5303455Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T07:46:32.5303638Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T07:46:32.5303810Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T07:46:32.5304000Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T07:46:32.5304176Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T07:46:32.5304470Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T07:46:32.5304674Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T07:46:32.5304850Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T07:46:32.5305046Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T07:46:32.5305225Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T07:46:32.5305729Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T07:46:32.5305910Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T07:46:32.5306089Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T07:46:32.5306283Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T07:46:32.5306462Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T07:46:32.5306655Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T07:46:32.5307173Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T07:46:32.5307421Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T07:46:32.5307597Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T07:46:32.5307771Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T07:46:32.5307957Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T07:46:32.5308130Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T07:46:32.5308321Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T07:46:32.5308498Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T07:46:32.5308871Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T07:46:32.5309062Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T07:46:32.5309237Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T07:46:32.5309428Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T07:46:32.5309602Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T07:46:32.5309790Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T07:46:32.5309966Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T07:46:32.5310140Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T07:46:32.5310338Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T07:46:32.5310514Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T07:46:32.5310702Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T07:46:32.5310876Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T07:46:32.5311050Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T07:46:32.5311243Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T07:46:32.5311417Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T07:46:32.5311612Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T07:46:32.5311788Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T07:46:32.5312069Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T07:46:32.5312242Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T07:46:32.5312419Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T07:46:32.5312602Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T07:46:32.5312777Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T07:46:32.5312960Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T07:46:32.5313133Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T07:46:32.5313306Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T07:46:32.5313497Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T07:46:32.5313669Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T07:46:32.5313857Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T07:46:32.5314032Z * [new tag] ciflow/trunk/160928 -> ciflow/trunk/160928 2025-09-07T07:46:32.5314214Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T07:46:32.5314387Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T07:46:32.5314563Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T07:46:32.5314754Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T07:46:32.5314926Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T07:46:32.5315109Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T07:46:32.5315284Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T07:46:32.5315461Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T07:46:32.5315733Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T07:46:32.5315911Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T07:46:32.5316095Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T07:46:32.5316268Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T07:46:32.5316443Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T07:46:32.5316629Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T07:46:32.5316802Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T07:46:32.5316991Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T07:46:32.5317169Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T07:46:32.5317355Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T07:46:32.5317533Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T07:46:32.5317707Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T07:46:32.5317893Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T07:46:32.5318067Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T07:46:32.5318256Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T07:46:32.5318430Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T07:46:32.5318606Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T07:46:32.5318794Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T07:46:32.5319076Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T07:46:32.5319264Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T07:46:32.5319441Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T07:46:32.5319628Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T07:46:32.5319802Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T07:46:32.5319976Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T07:46:32.5320165Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T07:46:32.5320341Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T07:46:32.5320527Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T07:46:32.5320705Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T07:46:32.5320881Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T07:46:32.5321072Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T07:46:32.5321246Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T07:46:32.5321432Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T07:46:32.5321608Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T07:46:32.5321793Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T07:46:32.5321969Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T07:46:32.5322143Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T07:46:32.5322336Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T07:46:32.5322509Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T07:46:32.5322939Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T07:46:32.5323123Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T07:46:32.5323300Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T07:46:32.5323491Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T07:46:32.5323667Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T07:46:32.5323855Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T07:46:32.5324033Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T07:46:32.5324224Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T07:46:32.5324406Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T07:46:32.5324585Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T07:46:32.5324777Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T07:46:32.5324952Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T07:46:32.5325136Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T07:46:32.5325309Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T07:46:32.5325481Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T07:46:32.5325668Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T07:46:32.5325844Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T07:46:32.5326136Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T07:46:32.5326311Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T07:46:32.5326502Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T07:46:32.5326677Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T07:46:32.5326854Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T07:46:32.5327042Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T07:46:32.5327217Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T07:46:32.5327407Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T07:46:32.5327582Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T07:46:32.5327759Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T07:46:32.5327949Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T07:46:32.5328128Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T07:46:32.5328310Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T07:46:32.5328482Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T07:46:32.5328665Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T07:46:32.5328839Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T07:46:32.5329018Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T07:46:32.5329202Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T07:46:32.5329395Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T07:46:32.5329601Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T07:46:32.5329774Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T07:46:32.5330062Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T07:46:32.5330250Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T07:46:32.5330420Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T07:46:32.5330599Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T07:46:32.5330767Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T07:46:32.5330946Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T07:46:32.5331115Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T07:46:32.5331282Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T07:46:32.5331467Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T07:46:32.5331639Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T07:46:32.5331823Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T07:46:32.5331993Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T07:46:32.5332165Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T07:46:32.5332348Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T07:46:32.5332515Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T07:46:32.5332683Z * [new tag] cslpull75 -> cslpull75 2025-09-07T07:46:32.5332836Z * [new tag] cslpull76 -> cslpull76 2025-09-07T07:46:32.5333075Z * [new tag] cslpull77 -> cslpull77 2025-09-07T07:46:32.5333240Z * [new tag] cslpull78 -> cslpull78 2025-09-07T07:46:32.5333391Z * [new tag] cslpull79 -> cslpull79 2025-09-07T07:46:32.5333553Z * [new tag] cslpull80 -> cslpull80 2025-09-07T07:46:32.5333703Z * [new tag] cslpull81 -> cslpull81 2025-09-07T07:46:32.5333864Z * [new tag] cslpull82 -> cslpull82 2025-09-07T07:46:32.5334013Z * [new tag] cslpull83 -> cslpull83 2025-09-07T07:46:32.5334160Z * [new tag] cslpull84 -> cslpull84 2025-09-07T07:46:32.5334322Z * [new tag] cslpull85 -> cslpull85 2025-09-07T07:46:32.5334469Z * [new tag] cslpull86 -> cslpull86 2025-09-07T07:46:32.5334633Z * [new tag] cslpull87 -> cslpull87 2025-09-07T07:46:32.5334784Z * [new tag] cslpull88 -> cslpull88 2025-09-07T07:46:32.5334936Z * [new tag] cslpull89 -> cslpull89 2025-09-07T07:46:32.5335099Z * [new tag] cslpull90 -> cslpull90 2025-09-07T07:46:32.5335247Z * [new tag] cslpull91 -> cslpull91 2025-09-07T07:46:32.5335411Z * [new tag] cslpull92 -> cslpull92 2025-09-07T07:46:32.5335566Z * [new tag] flight_5 -> flight_5 2025-09-07T07:46:32.5335719Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T07:46:32.5335885Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T07:46:32.5336035Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T07:46:32.5336197Z * [new tag] forpull1 -> forpull1 2025-09-07T07:46:32.5336381Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T07:46:32.5336574Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T07:46:32.5336838Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T07:46:32.5337015Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T07:46:32.5337213Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T07:46:32.5337504Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T07:46:32.5337906Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T07:46:32.5338301Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T07:46:32.5338703Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T07:46:32.5339118Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T07:46:32.5339502Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T07:46:32.5339906Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T07:46:32.5340285Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T07:46:32.5340687Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T07:46:32.5341071Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T07:46:32.5341574Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T07:46:32.5341967Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T07:46:32.5342351Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T07:46:32.5342762Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T07:46:32.5343148Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T07:46:32.5343563Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T07:46:32.5343957Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T07:46:32.5344377Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T07:46:32.5344762Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T07:46:32.5345164Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T07:46:32.5345568Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T07:46:32.5345952Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T07:46:32.5346343Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T07:46:32.5346734Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T07:46:32.5347229Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T07:46:32.5347628Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T07:46:32.5348019Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T07:46:32.5348409Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T07:46:32.5348798Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T07:46:32.5349200Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T07:46:32.5349601Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T07:46:32.5350015Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T07:46:32.5350404Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T07:46:32.5350809Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T07:46:32.5351203Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T07:46:32.5351613Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T07:46:32.5352003Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T07:46:32.5352478Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T07:46:32.5352874Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T07:46:32.5353256Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T07:46:32.5353659Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T07:46:32.5354047Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T07:46:32.5354454Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T07:46:32.5354847Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T07:46:32.5355253Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T07:46:32.5355634Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T07:46:32.5356013Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T07:46:32.5363477Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T07:46:32.5363998Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T07:46:32.5364397Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T07:46:32.5364804Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T07:46:32.5365423Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T07:46:32.5365812Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T07:46:32.5366222Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T07:46:32.5366609Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T07:46:32.5367020Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T07:46:32.5367416Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T07:46:32.5367812Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T07:46:32.5368216Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T07:46:32.5368594Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T07:46:32.5368999Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T07:46:32.5369393Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T07:46:32.5369787Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T07:46:32.5370278Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T07:46:32.5370673Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T07:46:32.5371061Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T07:46:32.5371462Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T07:46:32.5371872Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T07:46:32.5372266Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T07:46:32.5372672Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T07:46:32.5373068Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T07:46:32.5373475Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T07:46:32.5373865Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T07:46:32.5374262Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T07:46:32.5374638Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T07:46:32.5375028Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T07:46:32.5375425Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T07:46:32.5375965Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T07:46:32.5376374Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T07:46:32.5376778Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T07:46:32.5377195Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T07:46:32.5377676Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T07:46:32.5378074Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T07:46:32.5378472Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T07:46:32.5378871Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T07:46:32.5379284Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T07:46:32.5379662Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T07:46:32.5380059Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T07:46:32.5380441Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T07:46:32.5380952Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T07:46:32.5381351Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T07:46:32.5381751Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T07:46:32.5382140Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T07:46:32.5382526Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T07:46:32.5382916Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T07:46:32.5383312Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T07:46:32.5383717Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T07:46:32.5384117Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T07:46:32.5384506Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T07:46:32.5384917Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T07:46:32.5385303Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T07:46:32.5385713Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T07:46:32.5386090Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T07:46:32.5386558Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T07:46:32.5386937Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T07:46:32.5387333Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T07:46:32.5387722Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T07:46:32.5388100Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T07:46:32.5388489Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T07:46:32.5388876Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T07:46:32.5389274Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T07:46:32.5389657Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T07:46:32.5390054Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T07:46:32.5390448Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T07:46:32.5390848Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T07:46:32.5391244Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T07:46:32.5391704Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T07:46:32.5392100Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T07:46:32.5392483Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T07:46:32.5392892Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T07:46:32.5393287Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T07:46:32.5393687Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T07:46:32.5394074Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T07:46:32.5394454Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T07:46:32.5394841Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T07:46:32.5395236Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T07:46:32.5395631Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T07:46:32.5396019Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T07:46:32.5396424Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T07:46:32.5396816Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T07:46:32.5397287Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T07:46:32.5397683Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T07:46:32.5398076Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T07:46:32.5398481Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T07:46:32.5398870Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T07:46:32.5399272Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T07:46:32.5399660Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T07:46:32.5400067Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T07:46:32.5400453Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T07:46:32.5400844Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T07:46:32.5401248Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T07:46:32.5401642Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T07:46:32.5402143Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T07:46:32.5402526Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T07:46:32.5403091Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T07:46:32.5403480Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T07:46:32.5403881Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T07:46:32.5404266Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:32.5404661Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T07:46:32.5405068Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T07:46:32.5405459Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T07:46:32.5405854Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T07:46:32.5406243Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T07:46:32.5406644Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T07:46:32.5407032Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T07:46:32.5407448Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T07:46:32.5407940Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T07:46:32.5408333Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T07:46:32.5408738Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T07:46:32.5409125Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T07:46:32.5409514Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T07:46:32.5409912Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T07:46:32.5410319Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T07:46:32.5410708Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T07:46:32.5411089Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T07:46:32.5411498Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T07:46:32.5411890Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T07:46:32.5412292Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T07:46:32.5412666Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T07:46:32.5413200Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T07:46:32.5413588Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T07:46:32.5413992Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T07:46:32.5414378Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T07:46:32.5414765Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T07:46:32.5415177Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T07:46:32.5415570Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T07:46:32.5415974Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T07:46:32.5416365Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T07:46:32.5416771Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T07:46:32.5417164Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T07:46:32.5417657Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T07:46:32.5418060Z * [new tag] trunk/ada43ed39c80b746b4822c92640a1882619e2795 -> trunk/ada43ed39c80b746b4822c92640a1882619e2795 2025-09-07T07:46:32.5418461Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T07:46:32.5418985Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T07:46:32.5419380Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T07:46:32.5419769Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T07:46:32.5420161Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T07:46:32.5420563Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T07:46:32.5420949Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T07:46:32.5421355Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T07:46:32.5421755Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T07:46:32.5422157Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T07:46:32.5422555Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T07:46:32.5422941Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T07:46:32.5423338Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T07:46:32.5423840Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T07:46:32.5424255Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T07:46:32.5424645Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T07:46:32.5425025Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T07:46:32.5425434Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T07:46:32.5425829Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T07:46:32.5426224Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T07:46:32.5426625Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T07:46:32.5427031Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T07:46:32.5427425Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T07:46:32.5427827Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T07:46:32.5428238Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T07:46:32.5428635Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T07:46:32.5429048Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T07:46:32.5429521Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T07:46:32.5429929Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T07:46:32.5430323Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T07:46:32.5430706Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T07:46:32.5431097Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T07:46:32.5431480Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T07:46:32.5431892Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T07:46:32.5432293Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T07:46:32.5432689Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T07:46:32.5433079Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T07:46:32.5433474Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T07:46:32.5433882Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T07:46:32.5434274Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T07:46:32.5434768Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T07:46:32.5435160Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T07:46:32.5435558Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T07:46:32.5435944Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T07:46:32.5436346Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T07:46:32.5436727Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T07:46:32.5437129Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T07:46:32.5437529Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T07:46:32.5437922Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T07:46:32.5438323Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T07:46:32.5438710Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T07:46:32.5439104Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T07:46:32.5439486Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T07:46:32.5439887Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T07:46:32.5440344Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T07:46:32.5440728Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T07:46:32.5441130Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T07:46:32.5441511Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T07:46:32.5441917Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T07:46:32.5442319Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T07:46:32.5442733Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T07:46:32.5443278Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T07:46:32.5443666Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T07:46:32.5444066Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T07:46:32.5444469Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T07:46:32.5444865Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T07:46:32.5445362Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T07:46:32.5445773Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T07:46:32.5446163Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T07:46:32.5446564Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T07:46:32.5446953Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T07:46:32.5447347Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T07:46:32.5447738Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T07:46:32.5448116Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T07:46:32.5448524Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T07:46:32.5448932Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T07:46:32.5449334Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T07:46:32.5449732Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T07:46:32.5450143Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T07:46:32.5450536Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T07:46:32.5451016Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T07:46:32.5451415Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T07:46:32.5451797Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T07:46:32.5452209Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T07:46:32.5452608Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T07:46:32.5452999Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T07:46:32.5453393Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T07:46:32.5453785Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T07:46:32.5454183Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T07:46:32.5454581Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T07:46:32.5454983Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T07:46:32.5455375Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T07:46:32.5491606Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T07:46:32.5491756Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T07:46:32.5491907Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T07:46:32.5492068Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T07:46:32.5492208Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T07:46:32.5492366Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T07:46:32.5492509Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T07:46:32.5492657Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T07:46:32.5492796Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T07:46:32.5492935Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T07:46:32.5493090Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T07:46:32.5493230Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T07:46:32.5493383Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T07:46:32.5493521Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T07:46:32.5493658Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T07:46:32.5493804Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T07:46:32.5493943Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T07:46:32.5494093Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T07:46:32.5494235Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T07:46:32.5494383Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T07:46:32.5494535Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T07:46:32.5494682Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T07:46:32.5494838Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T07:46:32.5495079Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T07:46:32.5495242Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T07:46:32.5495387Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T07:46:32.5495542Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T07:46:32.5495706Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T07:46:32.5495859Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T07:46:32.5496016Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T07:46:32.5496173Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T07:46:32.5496319Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T07:46:32.5496486Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T07:46:32.5496636Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T07:46:32.5496801Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T07:46:32.5496952Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T07:46:32.5497100Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T07:46:32.5497264Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T07:46:32.5497494Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T07:46:32.5497659Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T07:46:32.5497809Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T07:46:32.5497968Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T07:46:32.5498313Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T07:46:32.5498467Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T07:46:32.5498632Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T07:46:32.5498783Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T07:46:32.5498949Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T07:46:32.5499100Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T07:46:32.5499250Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T07:46:32.5499416Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T07:46:32.5499558Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T07:46:32.5499720Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T07:46:32.5499875Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T07:46:32.5500024Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T07:46:32.5500193Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T07:46:32.5500343Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T07:46:32.5500500Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T07:46:32.5500649Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T07:46:32.5500796Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T07:46:32.5500956Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T07:46:32.5501101Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T07:46:32.5501259Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T07:46:32.5501411Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T07:46:32.5501566Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T07:46:32.5501802Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T07:46:32.5501950Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T07:46:32.5502111Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T07:46:32.5502252Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T07:46:32.5502412Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T07:46:32.5502559Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T07:46:32.5502701Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T07:46:32.5502862Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T07:46:32.5503004Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T07:46:32.5503161Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T07:46:32.5503316Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T07:46:32.5503464Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T07:46:32.5503628Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T07:46:32.5503774Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T07:46:32.5503938Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T07:46:32.5504075Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T07:46:32.5504233Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T07:46:32.5504374Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T07:46:32.5504521Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T07:46:32.5504774Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T07:46:32.5504918Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T07:46:32.5505083Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T07:46:32.5505229Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T07:46:32.5505375Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T07:46:32.5505538Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T07:46:32.5505679Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T07:46:32.5505836Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T07:46:32.5505984Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T07:46:32.5506132Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T07:46:32.5506295Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T07:46:32.5506439Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T07:46:32.5506602Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T07:46:32.5506747Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T07:46:32.5506907Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T07:46:32.5507048Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T07:46:32.5507194Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T07:46:32.5507352Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T07:46:32.5507502Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T07:46:32.5507662Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T07:46:32.5507810Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T07:46:32.5507957Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T07:46:32.5508208Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T07:46:32.5508362Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T07:46:32.5508520Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T07:46:32.5508661Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T07:46:32.5508808Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T07:46:32.5508961Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T07:46:32.5509111Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T07:46:32.5509272Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T07:46:32.5509421Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T07:46:32.5509603Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T07:46:32.5509746Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T07:46:32.5509896Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T07:46:32.5510055Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T07:46:32.5510197Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T07:46:32.5510358Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T07:46:32.5510508Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T07:46:32.5510655Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T07:46:32.5510822Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T07:46:32.5510971Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T07:46:32.5511224Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T07:46:32.5511366Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T07:46:32.5511516Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T07:46:32.5511675Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T07:46:32.5511825Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T07:46:32.5511987Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T07:46:32.5512130Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T07:46:32.5512291Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T07:46:32.5512439Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T07:46:32.5512587Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T07:46:32.5512755Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T07:46:32.5512906Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T07:46:32.5513067Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T07:46:32.5513208Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T07:46:32.5513354Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T07:46:32.5513510Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T07:46:32.5513659Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T07:46:32.5513815Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T07:46:32.5513961Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T07:46:32.5514107Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T07:46:32.5514262Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T07:46:32.5514413Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T07:46:32.5514571Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T07:46:32.5514841Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T07:46:32.5514994Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T07:46:32.5515143Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T07:46:32.5515293Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T07:46:32.5515454Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T07:46:32.5515601Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T07:46:32.5515759Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T07:46:32.5515910Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T07:46:32.5516062Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T07:46:32.5516220Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T07:46:32.5516368Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T07:46:32.5516526Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T07:46:32.5516673Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T07:46:32.5516823Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T07:46:32.5516979Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T07:46:32.5517125Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T07:46:32.5517281Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T07:46:32.5517429Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T07:46:32.5517660Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T07:46:32.5517819Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T07:46:32.5517976Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T07:46:32.5518138Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T07:46:32.5518289Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T07:46:32.5518448Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T07:46:32.5518597Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T07:46:32.5518744Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T07:46:32.5518901Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T07:46:32.5519051Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T07:46:32.5519211Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T07:46:32.5519360Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T07:46:32.5519506Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T07:46:32.5519660Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T07:46:32.5519809Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T07:46:32.5519968Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T07:46:32.5520118Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T07:46:32.5520266Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T07:46:32.5520424Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T07:46:32.5520571Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T07:46:32.5520735Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T07:46:32.5520887Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T07:46:32.5521046Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T07:46:32.5521285Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T07:46:32.5521436Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T07:46:32.5521596Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T07:46:32.5521747Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T07:46:32.5521896Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T07:46:32.5522044Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T07:46:32.5522190Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T07:46:32.5522348Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T07:46:32.5522495Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T07:46:32.5522651Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T07:46:32.5522980Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T07:46:32.5523132Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T07:46:32.5523294Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T07:46:32.5523441Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T07:46:32.5523601Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T07:46:32.5523748Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T07:46:32.5523907Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T07:46:32.5524055Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T07:46:32.5524202Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T07:46:32.5524482Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T07:46:32.5524636Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T07:46:32.5524789Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T07:46:32.5524940Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T07:46:32.5525089Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T07:46:32.5525252Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T07:46:32.5525404Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T07:46:32.5525564Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T07:46:32.5525713Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T07:46:32.5525859Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T07:46:32.5526026Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T07:46:32.5526174Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T07:46:32.5526329Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T07:46:32.5526476Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T07:46:32.5526641Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T07:46:32.5526787Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T07:46:32.5526931Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T07:46:32.5527094Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T07:46:32.5527241Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T07:46:32.5527398Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T07:46:32.5527549Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T07:46:32.5527696Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T07:46:32.5527955Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T07:46:32.5528097Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T07:46:32.5528254Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T07:46:32.5528400Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T07:46:32.5528558Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T07:46:32.5528718Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T07:46:32.5528867Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T07:46:32.5529011Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T07:46:32.5529173Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T07:46:32.5529327Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T07:46:32.5529493Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T07:46:32.5529645Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T07:46:32.5529793Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T07:46:32.5529956Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T07:46:32.5530100Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T07:46:32.5530259Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T07:46:32.5530417Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T07:46:32.5530575Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T07:46:32.5530742Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T07:46:33.2987338Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:46:33.3014574Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:33.3019201Z ##[endgroup] 2025-09-07T07:46:33.3019662Z ##[group]Determining the checkout info 2025-09-07T07:46:33.3020174Z ##[endgroup] 2025-09-07T07:46:33.3024047Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:46:33.3402707Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:46:33.3478442Z ##[group]Checking out the ref 2025-09-07T07:46:33.3482272Z [command]/usr/bin/git checkout --progress 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You can look around, make experimental 2025-09-07T07:46:36.5324125Z changes and commit them, and you can discard any commits you make in this 2025-09-07T07:46:36.5324685Z state without impacting any branches by switching back to a branch. 2025-09-07T07:46:36.5325025Z 2025-09-07T07:46:36.5325234Z If you want to create a new branch to retain commits you create, you may 2025-09-07T07:46:36.5325755Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T07:46:36.5326052Z 2025-09-07T07:46:36.5326181Z git switch -c 2025-09-07T07:46:36.5326382Z 2025-09-07T07:46:36.5326496Z Or undo this operation with: 2025-09-07T07:46:36.5326689Z 2025-09-07T07:46:36.5326781Z git switch - 2025-09-07T07:46:36.5326935Z 2025-09-07T07:46:36.5327172Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T07:46:36.5327526Z 2025-09-07T07:46:36.5328002Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:46:36.5440508Z ##[endgroup] 2025-09-07T07:46:36.5440949Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:46:36.5450852Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:46:36.5498981Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:46:36.5540496Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:46:36.5574576Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:46:36.5601828Z ##[endgroup] 2025-09-07T07:46:36.5602230Z ##[group]Fetching submodules 2025-09-07T07:46:36.5608162Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:46:36.5855750Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:46:36.6095617Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T07:46:36.6105730Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T07:46:36.6116090Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T07:46:36.6126618Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T07:46:36.6136791Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T07:46:36.6148003Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T07:46:36.6157496Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T07:46:36.6168235Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T07:46:36.6178982Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T07:46:36.6189588Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T07:46:36.6200441Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T07:46:36.6211356Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T07:46:36.6222448Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T07:46:36.6232940Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T07:46:36.6244119Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T07:46:36.6255087Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T07:46:36.6266519Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T07:46:36.6277766Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T07:46:36.6289581Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:46:36.6300301Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T07:46:36.6311309Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T07:46:36.6323663Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T07:46:36.6334546Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T07:46:36.6346344Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T07:46:36.6358187Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T07:46:36.6369832Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T07:46:36.6380915Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T07:46:36.6392738Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T07:46:36.6404808Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T07:46:36.6416855Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T07:46:36.6428341Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T07:46:36.6439979Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T07:46:36.6452511Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T07:46:36.6464197Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T07:46:36.6476154Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T07:46:36.6487894Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T07:46:36.6499620Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T07:46:36.6529105Z Cloning into '/home/grace/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T07:46:38.4969589Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T07:46:38.7305847Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T07:46:39.8601370Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T07:46:40.1238148Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T07:46:40.5349146Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T07:46:41.8054942Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T07:46:54.8311186Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T07:47:01.6107181Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T07:47:02.5094800Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T07:47:09.1562517Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T07:47:10.0469047Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T07:47:11.3016831Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T07:47:14.4825104Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T07:47:18.4178578Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T07:47:20.6595284Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T07:47:21.2037755Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T07:47:22.5543619Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T07:47:23.5946772Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T07:47:24.0794825Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T07:47:24.4721356Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T07:47:25.4041070Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T07:47:25.7964239Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T07:47:26.2759233Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T07:47:28.1036703Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T07:47:28.5754372Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T07:47:29.5078542Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T07:47:36.9588927Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T07:47:39.9431670Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T07:47:47.9362351Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T07:47:48.2223839Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T07:47:58.3256042Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T07:47:58.5269568Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T07:47:58.7813595Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T07:47:59.6476410Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T07:47:59.9461400Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T07:48:00.7857290Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T07:48:01.2153927Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:48:01.2277743Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:48:01.2372218Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:48:01.2608723Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:48:01.3384749Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:48:01.4046784Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:48:02.1830702Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:48:02.4080467Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:48:02.4121945Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:48:02.4158944Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T07:48:08.0939208Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:48:08.1544091Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:48:08.7026744Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:48:08.8418229Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:48:08.9423671Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:48:09.0185558Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:48:10.1217971Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:48:10.2853346Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:48:10.3451270Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T07:48:10.4163500Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:48:10.4748727Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:48:10.5093533Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T07:48:10.6370436Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T07:48:10.6382147Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:48:10.7678663Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T07:48:10.7708710Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T07:48:12.1329262Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T07:48:13.1932397Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T07:48:13.8156204Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T07:48:15.6492053Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T07:48:16.5372037Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T07:48:16.8819298Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T07:48:26.5335405Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:48:26.8266267Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:48:27.1660509Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:48:28.0620700Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:48:28.1102687Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:48:28.1252391Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:48:28.2371978Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:48:28.3299807Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:48:28.3496711Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:48:28.3714990Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:48:28.3753917Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T07:48:33.4688193Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T07:48:38.4930086Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:48:39.2318883Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:48:39.3874529Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:48:39.4402013Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:48:39.5210243Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:48:39.5789413Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:48:39.9072283Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:48:40.0344685Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:48:40.1184431Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T07:48:40.1210095Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T07:48:59.4038738Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:48:59.4351880Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:48:59.5412549Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:48:59.5658781Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:48:59.5880360Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:48:59.6176711Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:48:59.6203802Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T07:49:00.4787823Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T07:49:02.6382285Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T07:49:05.0498996Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:49:05.0734607Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:49:05.1146988Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:49:05.1450474Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:49:05.1837533Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:49:05.2149527Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:49:05.2561893Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:49:05.2861598Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:49:05.3249858Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:49:05.3285081Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T07:49:08.4369479Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T07:49:09.6621279Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T07:49:12.2795195Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T07:49:13.6502234Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T07:49:15.2678130Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T07:49:17.6396886Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T07:49:30.5123381Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T07:49:31.8194149Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:49:31.8679920Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:49:31.9881185Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:49:32.0375545Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:49:32.0558497Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:49:32.0583491Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T07:49:32.8243931Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:49:32.8642493Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:49:32.9213746Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:49:33.0772937Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:49:33.1137632Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:49:33.2321573Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:49:33.3048022Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:49:33.3618620Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:49:33.4970464Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:49:33.6954761Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:49:34.3980694Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:49:34.4198373Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T07:49:34.4226256Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T07:49:36.2769613Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:49:36.3727142Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:49:36.4062069Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:49:36.4387385Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:49:36.4589360Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:49:36.4920555Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:49:36.5077378Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:49:36.5392000Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:49:36.5667573Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:49:36.5823790Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:49:36.5856150Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T07:49:37.4496953Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T07:49:39.8213370Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T07:49:40.9548983Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T07:49:53.7838331Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T07:49:54.4898117Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T07:49:55.1928734Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T07:49:56.2297098Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T07:50:05.8863553Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:50:05.9395168Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:50:05.9644606Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:50:06.0809853Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:50:06.1186634Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:50:06.3255964Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:50:06.3901755Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:50:06.4266110Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:50:06.4559181Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:50:06.4583972Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-09-07T07:50:10.9088389Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-09-07T07:50:13.7118868Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:50:13.7833713Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:50:14.9285420Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:50:15.0208616Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T07:50:15.5443107Z Submodule path 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file:/home/grace/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:50:28.6978968Z Entering 'third_party/FP16' 2025-09-07T07:50:28.7170847Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:50:28.7188453Z Entering 'third_party/FXdiv' 2025-09-07T07:50:28.7291613Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:50:28.7309361Z Entering 'third_party/NNPACK' 2025-09-07T07:50:28.7445941Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-09-07T07:50:28.7463923Z Entering 'third_party/NVTX' 2025-09-07T07:50:28.7589403Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-09-07T07:50:28.7608158Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:50:28.7702625Z 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2025-09-07T07:50:32.4125584Z submodules: recursive 2025-09-07T07:50:32.4125859Z show-progress: false 2025-09-07T07:50:32.4126147Z repository: pytorch/pytorch 2025-09-07T07:50:32.4126536Z token: *** 2025-09-07T07:50:32.4126766Z ssh-strict: true 2025-09-07T07:50:32.4127010Z ssh-user: git 2025-09-07T07:50:32.4127259Z persist-credentials: true 2025-09-07T07:50:32.4127520Z clean: true 2025-09-07T07:50:32.4127773Z sparse-checkout-cone-mode: true 2025-09-07T07:50:32.4128095Z fetch-tags: false 2025-09-07T07:50:32.4128330Z lfs: false 2025-09-07T07:50:32.4128550Z set-safe-directory: true 2025-09-07T07:50:32.4128816Z env: 2025-09-07T07:50:32.4129032Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:32.4129505Z ##[endgroup] 2025-09-07T07:50:32.5091349Z Syncing repository: pytorch/pytorch 2025-09-07T07:50:32.5094071Z ##[group]Getting Git version info 2025-09-07T07:50:32.5094652Z Working directory is '/home/grace/_work/pytorch/pytorch' 2025-09-07T07:50:32.5127715Z [command]/usr/bin/git version 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2025-09-07T07:50:32.6615141Z 7e1e1fe3858c63c251c637ae41a20de425dde96f android/libs/fbjni (v0.1.0-12-g7e1e1fe) 2025-09-07T07:50:32.6696716Z 4dfe081cf6bcd15db339cf2680b9281b8451eeb3 third_party/FP16 (4dfe081) 2025-09-07T07:50:32.6776559Z b408327ac2a15ec3e43352421954f5b1967701d1 third_party/FXdiv (b408327) 2025-09-07T07:50:32.6869984Z c07e3a0400713d546e0dea2d5466dd22ea389c73 third_party/NNPACK (c07e3a0) 2025-09-07T07:50:32.6925811Z 2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07 third_party/NVTX (v3.1.0-263-g2942f16) 2025-09-07T07:50:32.7016961Z 1d8f600fd424278486eade7ed3e877c99f0846b1 third_party/VulkanMemoryAllocator (v2.1.0-982-g1d8f600) 2025-09-07T07:50:32.7540055Z 51a0103656eff6fc9bfd39a4597923c4b542c883 third_party/XNNPACK (remotes/origin/ds/ndk-1243-g51a0103656) 2025-09-07T07:50:32.7580377Z 01aae101b9e5e94d6c16a9514c9fb8df99c93150 third_party/aiter (v0.1.1-92-g01aae101) 2025-09-07T07:50:32.7606528Z 299e5928955cc62af9968370293b916f5130916f third_party/benchmark (v1.9.3) 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http.https://github.com/.extraheader 2025-09-07T07:50:34.4899802Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:50:34.4922552Z http.https://github.com/.extraheader 2025-09-07T07:50:34.4962305Z Entering 'third_party/ittapi' 2025-09-07T07:50:34.4987057Z http.https://github.com/.extraheader 2025-09-07T07:50:34.5017863Z Entering 'third_party/kineto' 2025-09-07T07:50:34.5042334Z http.https://github.com/.extraheader 2025-09-07T07:50:34.5072168Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:50:34.5095557Z http.https://github.com/.extraheader 2025-09-07T07:50:34.5129945Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:50:34.5152725Z http.https://github.com/.extraheader 2025-09-07T07:50:34.5186860Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:50:34.5209883Z http.https://github.com/.extraheader 2025-09-07T07:50:34.5242787Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:50:34.5266266Z http.https://github.com/.extraheader 2025-09-07T07:50:34.5299098Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:50:34.5322494Z http.https://github.com/.extraheader 2025-09-07T07:50:34.5352533Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:50:34.5375577Z http.https://github.com/.extraheader 2025-09-07T07:50:34.5409032Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:50:34.5432118Z http.https://github.com/.extraheader 2025-09-07T07:50:34.5464453Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:50:34.5487235Z http.https://github.com/.extraheader 2025-09-07T07:50:34.5519450Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:50:34.5542680Z http.https://github.com/.extraheader 2025-09-07T07:50:34.5574527Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:50:34.5597925Z http.https://github.com/.extraheader 2025-09-07T07:50:34.5630343Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:50:34.5654062Z http.https://github.com/.extraheader 2025-09-07T07:50:34.5684553Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:50:34.5707484Z http.https://github.com/.extraheader 2025-09-07T07:50:34.5742258Z Entering 'third_party/kleidiai' 2025-09-07T07:50:34.5766666Z http.https://github.com/.extraheader 2025-09-07T07:50:34.5797663Z Entering 'third_party/mimalloc' 2025-09-07T07:50:34.5821704Z http.https://github.com/.extraheader 2025-09-07T07:50:34.5854191Z Entering 'third_party/nlohmann' 2025-09-07T07:50:34.5878677Z http.https://github.com/.extraheader 2025-09-07T07:50:34.5910389Z Entering 'third_party/onnx' 2025-09-07T07:50:34.5935541Z http.https://github.com/.extraheader 2025-09-07T07:50:34.5985202Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:50:34.6008878Z http.https://github.com/.extraheader 2025-09-07T07:50:34.6043973Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:50:34.6068657Z http.https://github.com/.extraheader 2025-09-07T07:50:34.6102548Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:50:34.6126592Z http.https://github.com/.extraheader 2025-09-07T07:50:34.6156232Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:50:34.6179586Z http.https://github.com/.extraheader 2025-09-07T07:50:34.6209709Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:50:34.6232875Z http.https://github.com/.extraheader 2025-09-07T07:50:34.6262752Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:50:34.6286115Z http.https://github.com/.extraheader 2025-09-07T07:50:34.6317479Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:50:34.6340448Z http.https://github.com/.extraheader 2025-09-07T07:50:34.6372458Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:50:34.6396010Z http.https://github.com/.extraheader 2025-09-07T07:50:34.6427289Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:50:34.6451315Z http.https://github.com/.extraheader 2025-09-07T07:50:34.6482815Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:50:34.6505475Z http.https://github.com/.extraheader 2025-09-07T07:50:34.6538774Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:50:34.6561681Z http.https://github.com/.extraheader 2025-09-07T07:50:34.6594982Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:50:34.6618577Z http.https://github.com/.extraheader 2025-09-07T07:50:34.6671062Z Entering 'third_party/pocketfft' 2025-09-07T07:50:34.6695731Z http.https://github.com/.extraheader 2025-09-07T07:50:34.6727296Z Entering 'third_party/protobuf' 2025-09-07T07:50:34.6752127Z http.https://github.com/.extraheader 2025-09-07T07:50:34.6786572Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:50:34.6810127Z http.https://github.com/.extraheader 2025-09-07T07:50:34.6839780Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:50:34.6863203Z http.https://github.com/.extraheader 2025-09-07T07:50:34.6896508Z Entering 'third_party/psimd' 2025-09-07T07:50:34.6921268Z http.https://github.com/.extraheader 2025-09-07T07:50:34.6955515Z Entering 'third_party/pthreadpool' 2025-09-07T07:50:34.6980298Z http.https://github.com/.extraheader 2025-09-07T07:50:34.7011762Z Entering 'third_party/pybind11' 2025-09-07T07:50:34.7036404Z http.https://github.com/.extraheader 2025-09-07T07:50:34.7067294Z Entering 'third_party/python-peachpy' 2025-09-07T07:50:34.7092753Z http.https://github.com/.extraheader 2025-09-07T07:50:34.7125382Z Entering 'third_party/sleef' 2025-09-07T07:50:34.7150340Z http.https://github.com/.extraheader 2025-09-07T07:50:34.7182884Z Entering 'third_party/tensorpipe' 2025-09-07T07:50:34.7207894Z http.https://github.com/.extraheader 2025-09-07T07:50:34.7244327Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:50:34.7267147Z http.https://github.com/.extraheader 2025-09-07T07:50:34.7299001Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:50:34.7322416Z http.https://github.com/.extraheader 2025-09-07T07:50:34.7353127Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:50:34.7376422Z http.https://github.com/.extraheader 2025-09-07T07:50:34.7409099Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:50:34.7432783Z http.https://github.com/.extraheader 2025-09-07T07:50:34.7462958Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:50:34.7487426Z http.https://github.com/.extraheader 2025-09-07T07:50:34.7541189Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:50:34.7576036Z ##[endgroup] 2025-09-07T07:50:34.7576766Z ##[group]Fetching the repository 2025-09-07T07:50:34.7584554Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:50:35.3623755Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:50:35.3646853Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:50:35.3652217Z ##[endgroup] 2025-09-07T07:50:35.3652958Z ##[group]Determining the checkout info 2025-09-07T07:50:35.3653780Z ##[endgroup] 2025-09-07T07:50:35.3656964Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:50:35.3864261Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:50:35.3891707Z ##[group]Checking out the ref 2025-09-07T07:50:35.3895922Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:50:35.4289449Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:50:35.4296638Z ##[endgroup] 2025-09-07T07:50:35.4297124Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:50:35.4301806Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:50:35.4340929Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:50:35.4367389Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:50:35.4395179Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:50:35.4419349Z ##[endgroup] 2025-09-07T07:50:35.4419809Z ##[group]Fetching submodules 2025-09-07T07:50:35.4422774Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:50:35.4667169Z Synchronizing submodule url for 'android/libs/fbjni' 2025-09-07T07:50:35.4689131Z Synchronizing submodule url for 'third_party/FP16' 2025-09-07T07:50:35.4711536Z Synchronizing submodule url for 'third_party/FXdiv' 2025-09-07T07:50:35.4733153Z Synchronizing submodule url for 'third_party/NNPACK' 2025-09-07T07:50:35.4755871Z Synchronizing submodule url for 'third_party/NVTX' 2025-09-07T07:50:35.4779698Z Synchronizing submodule url for 'third_party/VulkanMemoryAllocator' 2025-09-07T07:50:35.4802996Z Synchronizing submodule url for 'third_party/XNNPACK' 2025-09-07T07:50:35.4841050Z Synchronizing submodule url for 'third_party/aiter' 2025-09-07T07:50:35.4863071Z Synchronizing submodule url for 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:50:35.4894762Z Synchronizing submodule url for 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Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:50:35.6118032Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:50:35.6142003Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:50:35.6162528Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:50:35.6184935Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:50:35.6207503Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:50:35.6227083Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:50:35.6251815Z Synchronizing submodule url for 'third_party/kleidiai' 2025-09-07T07:50:35.6274470Z Synchronizing submodule url for 'third_party/mimalloc' 2025-09-07T07:50:35.6298133Z Synchronizing submodule url for 'third_party/nlohmann' 2025-09-07T07:50:35.6321415Z Synchronizing submodule url for 'third_party/onnx' 2025-09-07T07:50:35.6360448Z Synchronizing submodule url for 'third_party/onnx/third_party/pybind11' 2025-09-07T07:50:35.6386443Z Synchronizing submodule url for 'third_party/opentelemetry-cpp' 2025-09-07T07:50:35.6408002Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:50:35.6427842Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:50:35.6449854Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:50:35.6469847Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:50:35.6491900Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:50:35.6512869Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:50:35.6532920Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:50:35.6551386Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:50:35.6573635Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:50:35.6596514Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:50:35.6639888Z Synchronizing submodule url for 'third_party/pocketfft' 2025-09-07T07:50:35.6661965Z Synchronizing submodule url for 'third_party/protobuf' 2025-09-07T07:50:35.6689446Z Synchronizing submodule url for 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:50:35.6709862Z Synchronizing submodule url for 'third_party/protobuf/third_party/googletest' 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:50:35.6982432Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:50:35.7353883Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:50:35.7475355Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:50:35.7565848Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:50:35.7801559Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:50:35.8764834Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:50:35.9153051Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:50:36.1306298Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:50:36.4657343Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:50:36.6453477Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:50:36.6667336Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:50:37.0397086Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:50:37.1075963Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:50:37.2570962Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:50:37.3092315Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:50:37.3520990Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:50:37.4978838Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:50:37.5673560Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:50:37.9861202Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:50:38.0454984Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:50:38.1237228Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:50:38.1639422Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:50:38.1777236Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:50:38.2927373Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:50:38.3786639Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:50:38.6723975Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:50:38.9639013Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:50:39.2212933Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:50:39.2531490Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:50:39.3004355Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:50:39.3231387Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:50:39.3626445Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:50:39.3767330Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:50:39.9505239Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:50:39.9731551Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:50:40.0771330Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:50:40.1593224Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:50:40.3726417Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:50:40.3893546Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:50:40.4249938Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:50:40.4395557Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:50:40.4492949Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:50:40.4658461Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:50:40.5041141Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:50:40.5417985Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:50:40.5582065Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:50:40.5894853Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:50:40.6280751Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:50:40.6774397Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:50:40.7392064Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:50:40.8709504Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:50:41.1204757Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:50:41.1565018Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:50:41.2258685Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:50:41.2442594Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:50:41.2832630Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:50:41.2967252Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:50:41.3923585Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:50:41.4086404Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:50:41.4232500Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:50:41.4375370Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:50:41.8196304Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:50:41.8594040Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:50:42.2050987Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:50:42.2235108Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T07:50:42.5100515Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-09-07T07:50:42.5243223Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-09-07T07:50:42.5702588Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-09-07T07:50:42.5798526Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-09-07T07:50:42.5951619Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-09-07T07:50:42.6409671Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8' 2025-09-07T07:50:42.6930080Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-09-07T07:50:42.7499784Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-09-07T07:50:42.7733382Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075' 2025-09-07T07:50:42.8114532Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-09-07T07:50:42.8273539Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-09-07T07:50:42.8846701Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-09-07T07:50:42.9106602Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' 2025-09-07T07:50:42.9199532Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' 2025-09-07T07:50:42.9237546Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-09-07T07:50:42.9476993Z Entering 'android/libs/fbjni' 2025-09-07T07:50:42.9515042Z Entering 'third_party/FP16' 2025-09-07T07:50:42.9552608Z Entering 'third_party/FXdiv' 2025-09-07T07:50:42.9591501Z Entering 'third_party/NNPACK' 2025-09-07T07:50:42.9636510Z Entering 'third_party/NVTX' 2025-09-07T07:50:42.9675986Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:50:42.9715415Z Entering 'third_party/XNNPACK' 2025-09-07T07:50:42.9771394Z Entering 'third_party/aiter' 2025-09-07T07:50:42.9815201Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:50:42.9863332Z Entering 'third_party/benchmark' 2025-09-07T07:50:42.9906313Z Entering 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2025-09-07T07:50:43.1578068Z Entering 'third_party/mimalloc' 2025-09-07T07:50:43.1620645Z Entering 'third_party/nlohmann' 2025-09-07T07:50:43.1663119Z Entering 'third_party/onnx' 2025-09-07T07:50:43.1724109Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:50:43.1763332Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:50:43.1806657Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:50:43.1841820Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:50:43.1880841Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:50:43.1919011Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:50:43.1977579Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:50:43.2014679Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:50:43.2067574Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:50:43.2108818Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:50:43.2152033Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:50:43.2198402Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:50:43.2257220Z Entering 'third_party/pocketfft' 2025-09-07T07:50:43.2298455Z Entering 'third_party/protobuf' 2025-09-07T07:50:43.2350500Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:50:43.2389185Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:50:43.2430370Z Entering 'third_party/psimd' 2025-09-07T07:50:43.2468714Z Entering 'third_party/pthreadpool' 2025-09-07T07:50:43.2509921Z Entering 'third_party/pybind11' 2025-09-07T07:50:43.2551815Z Entering 'third_party/python-peachpy' 2025-09-07T07:50:43.2590046Z Entering 'third_party/sleef' 2025-09-07T07:50:43.2632067Z Entering 'third_party/tensorpipe' 2025-09-07T07:50:43.2671874Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:50:43.2708988Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:50:43.2745783Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:50:43.2784774Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:50:43.2819918Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:50:43.2871478Z ##[endgroup] 2025-09-07T07:50:43.2872265Z ##[group]Persisting credentials for submodules 2025-09-07T07:50:43.2878201Z [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' || :" 2025-09-07T07:50:43.3110325Z Entering 'android/libs/fbjni' 2025-09-07T07:50:43.3134862Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3135447Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3166680Z Entering 'third_party/FP16' 2025-09-07T07:50:43.3192110Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3192637Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3223510Z Entering 'third_party/FXdiv' 2025-09-07T07:50:43.3250235Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3250583Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3284890Z Entering 'third_party/NNPACK' 2025-09-07T07:50:43.3310395Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3310735Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3342241Z Entering 'third_party/NVTX' 2025-09-07T07:50:43.3368430Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3368778Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3405120Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:50:43.3430639Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3430960Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3462232Z Entering 'third_party/XNNPACK' 2025-09-07T07:50:43.3487574Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3487906Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3540336Z Entering 'third_party/aiter' 2025-09-07T07:50:43.3565748Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3566101Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3601195Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:50:43.3625077Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3625416Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3665996Z Entering 'third_party/benchmark' 2025-09-07T07:50:43.3691779Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3692130Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3723802Z Entering 'third_party/composable_kernel' 2025-09-07T07:50:43.3749075Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3749425Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3792382Z Entering 'third_party/cpp-httplib' 2025-09-07T07:50:43.3816905Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3817247Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3848475Z Entering 'third_party/cpuinfo' 2025-09-07T07:50:43.3873723Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3874067Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3905284Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:50:43.3931076Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3931438Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3965557Z Entering 'third_party/cutlass' 2025-09-07T07:50:43.3990932Z url.https://github.com/.insteadof 2025-09-07T07:50:43.3991287Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4031267Z Entering 'third_party/fbgemm' 2025-09-07T07:50:43.4057013Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4057366Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4092133Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:50:43.4116072Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4116424Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4147429Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:50:43.4172380Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4172771Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4214394Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:50:43.4238894Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4239257Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4271181Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:50:43.4294667Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4295051Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4337011Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:50:43.4361178Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4361536Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4392138Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:50:43.4417317Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4417733Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4451463Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:50:43.4475762Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4476095Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4511271Z Entering 'third_party/flash-attention' 2025-09-07T07:50:43.4537447Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4537801Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4569312Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:50:43.4593107Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4593458Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4631535Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:50:43.4655429Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4655768Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4697093Z Entering 'third_party/flatbuffers' 2025-09-07T07:50:43.4722239Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4722592Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4759920Z Entering 'third_party/fmt' 2025-09-07T07:50:43.4785047Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4785398Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4816957Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:50:43.4841742Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4842080Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4874081Z Entering 'third_party/gloo' 2025-09-07T07:50:43.4899328Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4899676Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4931140Z Entering 'third_party/googletest' 2025-09-07T07:50:43.4955969Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4956308Z url.https://github.com/.insteadof 2025-09-07T07:50:43.4987015Z Entering 'third_party/ideep' 2025-09-07T07:50:43.5012404Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5012735Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5046301Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:50:43.5069962Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5070301Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5114117Z Entering 'third_party/ittapi' 2025-09-07T07:50:43.5140072Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5140422Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5171688Z Entering 'third_party/kineto' 2025-09-07T07:50:43.5196955Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5197322Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5229203Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:50:43.5254846Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5255246Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5287513Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:50:43.5312163Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5312530Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5351292Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:50:43.5376685Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5377055Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5409559Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:50:43.5438447Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5439018Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5473960Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:50:43.5498228Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5498574Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5529990Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:50:43.5553991Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5554357Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5589382Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:50:43.5614891Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5615269Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5647461Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:50:43.5672388Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5672736Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5704908Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:50:43.5731053Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5731403Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5764531Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:50:43.5788481Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5788819Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5822433Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:50:43.5847780Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5848149Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5879613Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:50:43.5904793Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5905153Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5939231Z Entering 'third_party/kleidiai' 2025-09-07T07:50:43.5964967Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5965365Z url.https://github.com/.insteadof 2025-09-07T07:50:43.5997490Z Entering 'third_party/mimalloc' 2025-09-07T07:50:43.6023203Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6023562Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6055749Z Entering 'third_party/nlohmann' 2025-09-07T07:50:43.6080260Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6080928Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6112975Z Entering 'third_party/onnx' 2025-09-07T07:50:43.6138001Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6138351Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6188840Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:50:43.6214334Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6214727Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6250035Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:50:43.6276025Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6276391Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6310906Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:50:43.6334614Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6335000Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6366978Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:50:43.6391074Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6391453Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6423966Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:50:43.6448246Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6448633Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6478144Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:50:43.6502056Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6502395Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6534917Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:50:43.6559567Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6559938Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6590764Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:50:43.6614734Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6615104Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6646795Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:50:43.6672797Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6673191Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6703782Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:50:43.6728001Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6728623Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6761113Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:50:43.6786591Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6786994Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6823481Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:50:43.6848514Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6848909Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6904492Z Entering 'third_party/pocketfft' 2025-09-07T07:50:43.6930723Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6931066Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6963067Z Entering 'third_party/protobuf' 2025-09-07T07:50:43.6988357Z url.https://github.com/.insteadof 2025-09-07T07:50:43.6988722Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7024433Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:50:43.7053616Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7053985Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7084800Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:50:43.7108292Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7108649Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7142211Z Entering 'third_party/psimd' 2025-09-07T07:50:43.7169987Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7170380Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7201782Z Entering 'third_party/pthreadpool' 2025-09-07T07:50:43.7227589Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7228234Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7258696Z Entering 'third_party/pybind11' 2025-09-07T07:50:43.7285053Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7285422Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7316584Z Entering 'third_party/python-peachpy' 2025-09-07T07:50:43.7343148Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7343517Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7374798Z Entering 'third_party/sleef' 2025-09-07T07:50:43.7400732Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7401092Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7432846Z Entering 'third_party/tensorpipe' 2025-09-07T07:50:43.7458741Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7459074Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7493725Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:50:43.7517368Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7518031Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7548887Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:50:43.7574345Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7574705Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7605677Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:50:43.7630695Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7631065Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7662563Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:50:43.7687387Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7687768Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7717900Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:50:43.7742608Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7742969Z url.https://github.com/.insteadof 2025-09-07T07:50:43.7795069Z [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" 2025-09-07T07:50:43.8035892Z Entering 'android/libs/fbjni' 2025-09-07T07:50:43.8074308Z file:/home/grace/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:50:43.8092903Z Entering 'third_party/FP16' 2025-09-07T07:50:43.8132954Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:50:43.8151670Z Entering 'third_party/FXdiv' 2025-09-07T07:50:43.8195259Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:50:43.8213988Z Entering 'third_party/NNPACK' 2025-09-07T07:50:43.8252721Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-09-07T07:50:43.8271254Z Entering 'third_party/NVTX' 2025-09-07T07:50:43.8707331Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-09-07T07:50:43.8726879Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:50:43.8774510Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-09-07T07:50:43.8793281Z Entering 'third_party/XNNPACK' 2025-09-07T07:50:43.8831801Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-09-07T07:50:43.8872857Z Entering 'third_party/aiter' 2025-09-07T07:50:43.8921998Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-09-07T07:50:43.8945983Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:50:43.8991969Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-09-07T07:50:43.9024188Z Entering 'third_party/benchmark' 2025-09-07T07:50:43.9075956Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:50:43.9104592Z Entering 'third_party/composable_kernel' 2025-09-07T07:50:43.9146553Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-09-07T07:50:43.9174535Z Entering 'third_party/cpp-httplib' 2025-09-07T07:50:43.9219408Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2025-09-07T07:50:43.9237452Z Entering 'third_party/cpuinfo' 2025-09-07T07:50:43.9295598Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-09-07T07:50:43.9314152Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:50:43.9352688Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-09-07T07:50:43.9370717Z Entering 'third_party/cutlass' 2025-09-07T07:50:43.9408150Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-09-07T07:50:43.9436734Z Entering 'third_party/fbgemm' 2025-09-07T07:50:43.9476021Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-09-07T07:50:43.9496235Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:50:43.9533231Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-09-07T07:50:43.9551269Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:50:43.9590400Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-09-07T07:50:43.9616498Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:50:43.9654686Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-09-07T07:50:43.9672506Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:50:43.9712881Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-09-07T07:50:43.9740463Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:50:43.9777719Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-09-07T07:50:43.9794786Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:50:43.9833586Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-09-07T07:50:43.9850755Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:50:43.9887775Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-09-07T07:50:43.9908218Z Entering 'third_party/flash-attention' 2025-09-07T07:50:43.9946017Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-09-07T07:50:43.9965828Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:50:44.0004649Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-09-07T07:50:44.0028422Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:50:44.0065002Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-09-07T07:50:44.0094726Z Entering 'third_party/flatbuffers' 2025-09-07T07:50:44.0133836Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-09-07T07:50:44.0153858Z Entering 'third_party/fmt' 2025-09-07T07:50:44.0190469Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:50:44.0208836Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:50:44.0248190Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-09-07T07:50:44.0266142Z Entering 'third_party/gloo' 2025-09-07T07:50:44.0306292Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-09-07T07:50:44.0326352Z Entering 'third_party/googletest' 2025-09-07T07:50:44.0366312Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:50:44.0386182Z Entering 'third_party/ideep' 2025-09-07T07:50:44.0424312Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-09-07T07:50:44.0442776Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:50:44.0480986Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-09-07T07:50:44.0506672Z Entering 'third_party/ittapi' 2025-09-07T07:50:44.0543932Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T07:50:44.0562134Z Entering 'third_party/kineto' 2025-09-07T07:50:44.0599980Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-09-07T07:50:44.0617782Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:50:44.0657805Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-09-07T07:50:44.0675444Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:50:44.0713202Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-09-07T07:50:44.0733766Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:50:44.0770331Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T07:50:44.0787938Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:50:44.0826872Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:50:44.0845201Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:50:44.0883794Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-09-07T07:50:44.0900644Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:50:44.0940626Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2025-09-07T07:50:44.0959497Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:50:44.1002051Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T07:50:44.1020166Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:50:44.1058631Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:50:44.1077047Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:50:44.1115275Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2025-09-07T07:50:44.1134422Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:50:44.1175412Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2025-09-07T07:50:44.1195521Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:50:44.1236021Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2025-09-07T07:50:44.1254282Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:50:44.1293365Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T07:50:44.1312732Z Entering 'third_party/kleidiai' 2025-09-07T07:50:44.1350945Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-09-07T07:50:44.1370533Z Entering 'third_party/mimalloc' 2025-09-07T07:50:44.1411504Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T07:50:44.1430105Z Entering 'third_party/nlohmann' 2025-09-07T07:50:44.1467846Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T07:50:44.1488008Z Entering 'third_party/onnx' 2025-09-07T07:50:44.1525363Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T07:50:44.1563377Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:50:44.1600827Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:50:44.1622478Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:50:44.1660368Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T07:50:44.1679706Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:50:44.1716247Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:50:44.1733500Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:50:44.1770851Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:50:44.1788072Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:50:44.1825093Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T07:50:44.1842399Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:50:44.1878669Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T07:50:44.1897859Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:50:44.1934359Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T07:50:44.1950954Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:50:44.1987732Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2025-09-07T07:50:44.2004921Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:50:44.2041399Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2025-09-07T07:50:44.2057583Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:50:44.2094742Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2025-09-07T07:50:44.2113852Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:50:44.2151501Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-09-07T07:50:44.2172058Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:50:44.2210357Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T07:50:44.2250108Z Entering 'third_party/pocketfft' 2025-09-07T07:50:44.2287667Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T07:50:44.2305888Z Entering 'third_party/protobuf' 2025-09-07T07:50:44.2343611Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T07:50:44.2365423Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:50:44.2402116Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:50:44.2420051Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:50:44.2456608Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:50:44.2476947Z Entering 'third_party/psimd' 2025-09-07T07:50:44.2514183Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2025-09-07T07:50:44.2532193Z Entering 'third_party/pthreadpool' 2025-09-07T07:50:44.2572925Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2025-09-07T07:50:44.2591074Z Entering 'third_party/pybind11' 2025-09-07T07:50:44.2627546Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:50:44.2646275Z Entering 'third_party/python-peachpy' 2025-09-07T07:50:44.2683088Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2025-09-07T07:50:44.2701014Z Entering 'third_party/sleef' 2025-09-07T07:50:44.2738690Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2025-09-07T07:50:44.2757368Z Entering 'third_party/tensorpipe' 2025-09-07T07:50:44.2794976Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2025-09-07T07:50:44.2812931Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:50:44.2851378Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:50:44.2868513Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:50:44.2905776Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-09-07T07:50:44.2922732Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:50:44.2958968Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-09-07T07:50:44.2976336Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:50:44.3012115Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:50:44.3028344Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:50:44.3068075Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-09-07T07:50:44.3297617Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T07:50:44.3527486Z Entering 'android/libs/fbjni' 2025-09-07T07:50:44.3563598Z Entering 'third_party/FP16' 2025-09-07T07:50:44.3600168Z Entering 'third_party/FXdiv' 2025-09-07T07:50:44.3636860Z Entering 'third_party/NNPACK' 2025-09-07T07:50:44.3674193Z Entering 'third_party/NVTX' 2025-09-07T07:50:44.3716712Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:50:44.3754133Z Entering 'third_party/XNNPACK' 2025-09-07T07:50:44.3806943Z Entering 'third_party/aiter' 2025-09-07T07:50:44.3844884Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:50:44.3889860Z Entering 'third_party/benchmark' 2025-09-07T07:50:44.3928920Z Entering 'third_party/composable_kernel' 2025-09-07T07:50:44.3975623Z Entering 'third_party/cpp-httplib' 2025-09-07T07:50:44.4012649Z Entering 'third_party/cpuinfo' 2025-09-07T07:50:44.4050465Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:50:44.4087818Z Entering 'third_party/cutlass' 2025-09-07T07:50:44.4134789Z Entering 'third_party/fbgemm' 2025-09-07T07:50:44.4179519Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:50:44.4214359Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:50:44.4261483Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:50:44.4298619Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:50:44.4343370Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:50:44.4380174Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:50:44.4415904Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:50:44.4454250Z Entering 'third_party/flash-attention' 2025-09-07T07:50:44.4495614Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:50:44.4538797Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:50:44.4585876Z Entering 'third_party/flatbuffers' 2025-09-07T07:50:44.4629599Z Entering 'third_party/fmt' 2025-09-07T07:50:44.4667987Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:50:44.4710526Z Entering 'third_party/gloo' 2025-09-07T07:50:44.4751800Z Entering 'third_party/googletest' 2025-09-07T07:50:44.4789749Z Entering 'third_party/ideep' 2025-09-07T07:50:44.4827783Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:50:44.4876141Z Entering 'third_party/ittapi' 2025-09-07T07:50:44.4914770Z Entering 'third_party/kineto' 2025-09-07T07:50:44.4952596Z Entering 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2025-09-07T07:50:44.6888785Z Entering 'third_party/FP16' 2025-09-07T07:50:44.6926329Z Entering 'third_party/FXdiv' 2025-09-07T07:50:44.6964971Z Entering 'third_party/NNPACK' 2025-09-07T07:50:44.7001915Z Entering 'third_party/NVTX' 2025-09-07T07:50:44.7040080Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:50:44.7078175Z Entering 'third_party/XNNPACK' 2025-09-07T07:50:44.7134202Z Entering 'third_party/aiter' 2025-09-07T07:50:44.7173127Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:50:44.7218222Z Entering 'third_party/benchmark' 2025-09-07T07:50:44.7256281Z Entering 'third_party/composable_kernel' 2025-09-07T07:50:44.7303842Z Entering 'third_party/cpp-httplib' 2025-09-07T07:50:44.7341610Z Entering 'third_party/cpuinfo' 2025-09-07T07:50:44.7381672Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:50:44.7419229Z Entering 'third_party/cutlass' 2025-09-07T07:50:44.7468135Z Entering 'third_party/fbgemm' 2025-09-07T07:50:44.7507887Z Entering 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2025-09-07T07:50:44.8068072Z Entering 'third_party/googletest' 2025-09-07T07:50:44.8104831Z Entering 'third_party/ideep' 2025-09-07T07:50:44.8141740Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:50:44.8185433Z Entering 'third_party/ittapi' 2025-09-07T07:50:44.8222646Z Entering 'third_party/kineto' 2025-09-07T07:50:44.8259708Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:50:44.8295709Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:50:44.8337765Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:50:44.8373798Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:50:44.8411264Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:50:44.8445988Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:50:44.8483729Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:50:44.8519043Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:50:44.8556633Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:50:44.8593176Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:50:44.8631319Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:50:44.8666725Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:50:44.8705325Z Entering 'third_party/kleidiai' 2025-09-07T07:50:44.8744790Z Entering 'third_party/mimalloc' 2025-09-07T07:50:44.8781708Z Entering 'third_party/nlohmann' 2025-09-07T07:50:44.8820287Z Entering 'third_party/onnx' 2025-09-07T07:50:44.8876330Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:50:44.8916109Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:50:44.8954800Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:50:44.8990068Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:50:44.9025654Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:50:44.9061842Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:50:44.9098601Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:50:44.9134000Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:50:44.9169182Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:50:44.9204636Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:50:44.9241226Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:50:44.9278979Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:50:44.9336189Z Entering 'third_party/pocketfft' 2025-09-07T07:50:44.9376165Z Entering 'third_party/protobuf' 2025-09-07T07:50:44.9417465Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:50:44.9453433Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:50:44.9491891Z Entering 'third_party/psimd' 2025-09-07T07:50:44.9529745Z Entering 'third_party/pthreadpool' 2025-09-07T07:50:44.9567647Z Entering 'third_party/pybind11' 2025-09-07T07:50:44.9605865Z Entering 'third_party/python-peachpy' 2025-09-07T07:50:44.9643861Z Entering 'third_party/sleef' 2025-09-07T07:50:44.9680691Z Entering 'third_party/tensorpipe' 2025-09-07T07:50:44.9717350Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:50:44.9753100Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:50:44.9787603Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:50:44.9823885Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:50:44.9858677Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:50:44.9908210Z ##[endgroup] 2025-09-07T07:50:44.9949452Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T07:50:44.9971901Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:50:45.0152218Z Prepare all required actions 2025-09-07T07:50:45.0152840Z Getting action download info 2025-09-07T07:50:45.3150927Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T07:50:45.3151267Z env: 2025-09-07T07:50:45.3151512Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:45.3151767Z ##[endgroup] 2025-09-07T07:50:45.3191806Z ##[group]Run set -euo pipefail 2025-09-07T07:50:45.3192208Z set -euo pipefail 2025-09-07T07:50:45.3192501Z function get_ec2_metadata() { 2025-09-07T07:50:45.3192892Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T07:50:45.3193534Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T07:50:45.3194112Z  category=$1 2025-09-07T07:50:45.3194481Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T07:50:45.3194933Z  runner_name_str=i-03028b1668c838483-1007 2025-09-07T07:50:45.3195347Z  if [[ -f /.inarc ]]; then 2025-09-07T07:50:45.3195701Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T07:50:45.3196087Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T07:50:45.3196576Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T07:50:45.3197031Z  else 2025-09-07T07:50:45.3197910Z  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}" 2025-09-07T07:50:45.3198851Z  fi 2025-09-07T07:50:45.3199060Z } 2025-09-07T07:50:45.3199328Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T07:50:45.3199767Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T07:50:45.3200255Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T07:50:45.3200671Z echo "system info $(uname -a)" 2025-09-07T07:50:45.3213951Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:45.3214348Z env: 2025-09-07T07:50:45.3214576Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:45.3214844Z ##[endgroup] 2025-09-07T07:50:45.3251305Z ami-id: ARC Runner, no info on ec2 metadata 2025-09-07T07:50:45.3256200Z instance-id: ARC Runner, no info on ec2 metadata 2025-09-07T07:50:45.3261528Z instance-type: ARC Runner, no info on ec2 metadata 2025-09-07T07:50:45.3272617Z system info Linux 5e63917eb52b 6.5.0-1024-aws #24~22.04.1-Ubuntu SMP Thu Jul 18 10:43:12 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T07:50:45.3292023Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:50:45.3293000Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:50:45.3305502Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:45.3305888Z env: 2025-09-07T07:50:45.3306115Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:45.3306386Z ##[endgroup] 2025-09-07T07:50:45.3394553Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:50:45.3394891Z with: 2025-09-07T07:50:45.3395108Z shell: bash 2025-09-07T07:50:45.3395332Z timeout_minutes: 5 2025-09-07T07:50:45.3395585Z max_attempts: 3 2025-09-07T07:50:45.3395827Z retry_wait_seconds: 30 2025-09-07T07:50:45.3398363Z command: AWS_ACCOUNT_ID=$(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 2025-09-07T07:50:45.3400741Z polling_interval_seconds: 1 2025-09-07T07:50:45.3401034Z warning_on_retry: true 2025-09-07T07:50:45.3401310Z continue_on_error: false 2025-09-07T07:50:45.3401567Z env: 2025-09-07T07:50:45.3401780Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:45.3402054Z AWS_RETRY_MODE: standard 2025-09-07T07:50:45.3402306Z AWS_MAX_ATTEMPTS: 5 2025-09-07T07:50:45.3402563Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T07:50:45.3403001Z ##[endgroup] 2025-09-07T07:50:46.8420814Z 2025-09-07T07:50:46.8421454Z WARNING! Your credentials are stored unencrypted in '/home/grace/.docker/config.json'. 2025-09-07T07:50:46.8422096Z Configure a credential helper to remove this warning. See 2025-09-07T07:50:46.8422563Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:50:46.8422812Z 2025-09-07T07:50:46.8422921Z Login Succeeded 2025-09-07T07:50:47.4179668Z Command completed after 1 attempt(s). 2025-09-07T07:50:47.4241217Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:50:47.4241773Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:50:47.4242234Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:50:47.4255452Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:47.4255849Z env: 2025-09-07T07:50:47.4256074Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:47.4256344Z ##[endgroup] 2025-09-07T07:50:47.4339892Z ##[group]Run set +e 2025-09-07T07:50:47.4340187Z set +e 2025-09-07T07:50:47.4340434Z set -x 2025-09-07T07:50:47.4340665Z  2025-09-07T07:50:47.4340907Z PT_DOMAIN=download.pytorch.org 2025-09-07T07:50:47.4341505Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T07:50:47.4342290Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T07:50:47.4342851Z # one is returned at random 2025-09-07T07:50:47.4343255Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T07:50:47.4343631Z  2025-09-07T07:50:47.4343871Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:50:47.4344539Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T07:50:47.4345084Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T07:50:47.4345495Z  2025-09-07T07:50:47.4345724Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:50:47.4346121Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T07:50:47.4346500Z  exit 1 2025-09-07T07:50:47.4346740Z  fi 2025-09-07T07:50:47.4346947Z fi 2025-09-07T07:50:47.4347156Z  2025-09-07T07:50:47.4347421Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T07:50:47.4347796Z  # Clean up any old records first 2025-09-07T07:50:47.4348161Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T07:50:47.4348502Z fi 2025-09-07T07:50:47.4348719Z  2025-09-07T07:50:47.4349032Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T07:50:47.4349433Z cat /etc/hosts 2025-09-07T07:50:47.4360862Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:47.4361255Z env: 2025-09-07T07:50:47.4361475Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:47.4361739Z ##[endgroup] 2025-09-07T07:50:47.4388350Z + PT_DOMAIN=download.pytorch.org 2025-09-07T07:50:47.4393938Z ++ dig -4 +short download.pytorch.org 2025-09-07T07:50:47.4394733Z ++ tail -n1 2025-09-07T07:50:47.4590512Z + RESOLVED_IP=18.160.10.36 2025-09-07T07:50:47.4590827Z + '[' -z 18.160.10.36 ']' 2025-09-07T07:50:47.4591109Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T07:50:47.4603868Z + echo '18.160.10.36 download.pytorch.org' 2025-09-07T07:50:47.4605041Z + sudo tee -a /etc/hosts 2025-09-07T07:50:47.4659139Z 18.160.10.36 download.pytorch.org 2025-09-07T07:50:47.4666028Z + cat /etc/hosts 2025-09-07T07:50:47.4673357Z 127.0.0.1 localhost 2025-09-07T07:50:47.4677477Z ::1 localhost ip6-localhost ip6-loopback 2025-09-07T07:50:47.4677876Z fe00:: ip6-localnet 2025-09-07T07:50:47.4678116Z ff00:: ip6-mcastprefix 2025-09-07T07:50:47.4678378Z ff02::1 ip6-allnodes 2025-09-07T07:50:47.4678630Z ff02::2 ip6-allrouters 2025-09-07T07:50:47.4678879Z 172.17.0.2 5e63917eb52b 2025-09-07T07:50:47.4679128Z 18.160.10.36 download.pytorch.org 2025-09-07T07:50:47.4699093Z ##[group]Run set +x 2025-09-07T07:50:47.4699375Z set +x 2025-09-07T07:50:47.4699608Z  2025-09-07T07:50:47.4699821Z max_attempts=30 2025-09-07T07:50:47.4700091Z delay=10 2025-09-07T07:50:47.4700332Z attempt=1 2025-09-07T07:50:47.4700575Z  2025-09-07T07:50:47.4700827Z for attempt in $(seq 1 $max_attempts); do 2025-09-07T07:50:47.4701381Z  echo "Attempt $attempt of $max_attempts: Checking if Docker daemon is running..." 2025-09-07T07:50:47.4701914Z  if docker info > /dev/null 2>&1; then 2025-09-07T07:50:47.4702356Z  echo "Docker is running. Proceeding with the next steps" 2025-09-07T07:50:47.4702778Z  exit 0 2025-09-07T07:50:47.4703005Z  else 2025-09-07T07:50:47.4703269Z  echo "Docker is not running yet." 2025-09-07T07:50:47.4703639Z  echo "Retrying in $delay seconds..." 2025-09-07T07:50:47.4703981Z  sleep $delay 2025-09-07T07:50:47.4704230Z  fi 2025-09-07T07:50:47.4704453Z done 2025-09-07T07:50:47.4704807Z echo "Reached maximum attempts to connect to Docker. Exiting." 2025-09-07T07:50:47.4705234Z exit 1 2025-09-07T07:50:47.4716641Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:47.4717020Z env: 2025-09-07T07:50:47.4717246Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:47.4717510Z ##[endgroup] 2025-09-07T07:50:47.4754972Z Attempt 1 of 30: Checking if Docker daemon is running... 2025-09-07T07:50:47.5136636Z Docker is running. Proceeding with the next steps 2025-09-07T07:50:47.5301584Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T07:50:47.5302276Z with: 2025-09-07T07:50:47.5303210Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:47.5304250Z use-custom-docker-registry: true 2025-09-07T07:50:47.5304554Z docker-build-dir: .ci/docker 2025-09-07T07:50:47.5304858Z docker-build-script: ./build.sh 2025-09-07T07:50:47.5305164Z working-directory: . 2025-09-07T07:50:47.5305519Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:47.5305913Z force-push: false 2025-09-07T07:50:47.5306142Z env: 2025-09-07T07:50:47.5306360Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:47.5306628Z ##[endgroup] 2025-09-07T07:50:47.5325407Z ##[group]Run set -ex 2025-09-07T07:50:47.5325741Z set -ex 2025-09-07T07:50:47.5325962Z  2025-09-07T07:50:47.5326430Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T07:50:47.5327127Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T07:50:47.5327703Z # job could then download the pre-built image as usual 2025-09-07T07:50:47.5328416Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T07:50:47.5329082Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T07:50:47.5329422Z else 2025-09-07T07:50:47.5329693Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:50:47.5330161Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:50:47.5330577Z  2025-09-07T07:50:47.5331142Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T07:50:47.5331798Z  exit 0 2025-09-07T07:50:47.5332034Z fi 2025-09-07T07:50:47.5332249Z  2025-09-07T07:50:47.5332591Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T07:50:47.5333198Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T07:50:47.5333748Z  # use it as it is, but first let's extract the tag 2025-09-07T07:50:47.5334241Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T07:50:47.5334765Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:50:47.5335269Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:50:47.5335672Z else 2025-09-07T07:50:47.5335946Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T07:50:47.5336343Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T07:50:47.5336750Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T07:50:47.5337091Z  fi 2025-09-07T07:50:47.5337654Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T07:50:47.5338294Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:50:47.5338953Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:50:47.5339674Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:50:47.5340102Z fi 2025-09-07T07:50:47.5352550Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:47.5352940Z env: 2025-09-07T07:50:47.5353167Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:47.5353442Z REPO_NAME: pytorch 2025-09-07T07:50:47.5354587Z 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 2025-09-07T07:50:47.5355744Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:50:47.5356041Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T07:50:47.5356427Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:47.5356836Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T07:50:47.5357123Z CUSTOM_TAG_PREFIX: 2025-09-07T07:50:47.5357373Z ##[endgroup] 2025-09-07T07:50:47.5386970Z + [[ -d .ci/docker ]] 2025-09-07T07:50:47.5387267Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T07:50:47.5387564Z + [[ true == \t\r\u\e ]] 2025-09-07T07:50:47.5387817Z + echo skip=false 2025-09-07T07:50:47.5389028Z + [[ 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* ]] 2025-09-07T07:50:47.5394558Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:47.5395541Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T07:50:47.5406650Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:47.5407804Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:47.5409367Z + 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 2025-09-07T07:50:47.5432379Z ##[group]Run set +e 2025-09-07T07:50:47.5432711Z set +e 2025-09-07T07:50:47.5432948Z set -x 2025-09-07T07:50:47.5433174Z  2025-09-07T07:50:47.5433380Z login() { 2025-09-07T07:50:47.5433879Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:50:47.5434423Z } 2025-09-07T07:50:47.5434633Z  2025-09-07T07:50:47.5434832Z retry () { 2025-09-07T07:50:47.5435117Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:50:47.5435436Z } 2025-09-07T07:50:47.5435644Z  2025-09-07T07:50:47.5435869Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:50:47.5436179Z  2025-09-07T07:50:47.5436401Z START_TIME=$(date +%s) 2025-09-07T07:50:47.5436697Z # Wait up to 120 minutes 2025-09-07T07:50:47.5437054Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T07:50:47.5437556Z  # Check if image already exists, if it does then skip building it 2025-09-07T07:50:47.5438062Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T07:50:47.5438433Z  exit 0 2025-09-07T07:50:47.5438671Z  fi 2025-09-07T07:50:47.5438881Z  2025-09-07T07:50:47.5439272Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T07:50:47.5439957Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T07:50:47.5440639Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T07:50:47.5441158Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T07:50:47.5441573Z  # It's a Docker build job, let's build the image 2025-09-07T07:50:47.5441926Z  break 2025-09-07T07:50:47.5442161Z  else 2025-09-07T07:50:47.5442517Z  # It's a regular build job, wait for the image to become available 2025-09-07T07:50:47.5443109Z  sleep 300 2025-09-07T07:50:47.5443372Z  fi 2025-09-07T07:50:47.5443598Z done 2025-09-07T07:50:47.5443825Z  2025-09-07T07:50:47.5444373Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T07:50:47.5445120Z # be empty. The default action would be to continue rebuild the image 2025-09-07T07:50:47.5445648Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T07:50:47.5446116Z  # if we're on the base branch then use the parent commit 2025-09-07T07:50:47.5446518Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T07:50:47.5446850Z else 2025-09-07T07:50:47.5447183Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T07:50:47.5447670Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T07:50:47.5448041Z fi 2025-09-07T07:50:47.5448242Z  2025-09-07T07:50:47.5448476Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T07:50:47.5448839Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:50:47.5449181Z  2025-09-07T07:50:47.5449649Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T07:50:47.5450221Z  exit 0 2025-09-07T07:50:47.5450449Z fi 2025-09-07T07:50:47.5450662Z  2025-09-07T07:50:47.5450957Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T07:50:47.5451657Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T07:50:47.5452259Z  exit 1 2025-09-07T07:50:47.5452485Z fi 2025-09-07T07:50:47.5452697Z  2025-09-07T07:50:47.5453050Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T07:50:47.5453731Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T07:50:47.5454342Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T07:50:47.5455038Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T07:50:47.5455834Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T07:50:47.5456286Z fi 2025-09-07T07:50:47.5456500Z  2025-09-07T07:50:47.5456768Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:50:47.5468452Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:47.5468843Z env: 2025-09-07T07:50:47.5469056Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:47.5469337Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:50:47.5469688Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:50:47.5470745Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:47.5472148Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:47.5472951Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:47.5473349Z DOCKER_PUSH: 2025-09-07T07:50:47.5473579Z ##[endgroup] 2025-09-07T07:50:47.5500864Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:47.5501321Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:47.5503442Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:50:47.5505208Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:48.4326129Z 2025-09-07T07:50:48.4326766Z WARNING! Your credentials are stored unencrypted in '/home/grace/.docker/config.json'. 2025-09-07T07:50:48.4327409Z Configure a credential helper to remove this warning. See 2025-09-07T07:50:48.4327857Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:50:48.4328117Z 2025-09-07T07:50:48.4328212Z Login Succeeded 2025-09-07T07:50:48.4347808Z ++ date +%s 2025-09-07T07:50:48.4356207Z + START_TIME=1757231448 2025-09-07T07:50:48.4359572Z ++ date +%s 2025-09-07T07:50:48.4367599Z + [[ 1757224248 -lt 1757231448 ]] 2025-09-07T07:50:48.4368673Z + 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 2025-09-07T07:50:48.6497944Z { 2025-09-07T07:50:48.6498539Z "schemaVersion": 2, 2025-09-07T07:50:48.6499308Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T07:50:48.6500153Z "config": { 2025-09-07T07:50:48.6500762Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T07:50:48.6501529Z "size": 31375, 2025-09-07T07:50:48.6502306Z "digest": "sha256:29d1d8a31b215537637bab7c99e18c255840b899cf7023e4e3cb5efa3270aef8" 2025-09-07T07:50:48.6503211Z }, 2025-09-07T07:50:48.6503508Z "layers": [ 2025-09-07T07:50:48.6503839Z { 2025-09-07T07:50:48.6504478Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6505240Z "size": 30448359, 2025-09-07T07:50:48.6506060Z "digest": "sha256:e6fdc8487bfe6d764301ef3634bc6c043841dc3ab05ca14f81e69c0f92562d46" 2025-09-07T07:50:48.6506961Z }, 2025-09-07T07:50:48.6507315Z { 2025-09-07T07:50:48.6507915Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6508707Z "size": 1554, 2025-09-07T07:50:48.6509463Z "digest": "sha256:171dcef20c49de4bc9268f60e02f111b72c638b0f24c3c5636c5013029db6d30" 2025-09-07T07:50:48.6510378Z }, 2025-09-07T07:50:48.6510723Z { 2025-09-07T07:50:48.6511324Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6512050Z "size": 313297922, 2025-09-07T07:50:48.6512859Z "digest": "sha256:4c92b3f72f1df31fe9f487fc1c27fcf1ba475ffb43abd69056306d1247786e40" 2025-09-07T07:50:48.6513747Z }, 2025-09-07T07:50:48.6514092Z { 2025-09-07T07:50:48.6514674Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6515458Z "size": 792, 2025-09-07T07:50:48.6516217Z "digest": "sha256:744f9ba90a6582eb601b3c20409bb10d6dad635dd118c3975f79721f4c82747c" 2025-09-07T07:50:48.6517286Z }, 2025-09-07T07:50:48.6517637Z { 2025-09-07T07:50:48.6518202Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6518996Z "size": 106, 2025-09-07T07:50:48.6519743Z "digest": "sha256:d3c08322a3326e45849dd80264a047c4f42ba4a2419d35c919542e2890e23934" 2025-09-07T07:50:48.6520624Z }, 2025-09-07T07:50:48.6520974Z { 2025-09-07T07:50:48.6521579Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6522365Z "size": 704, 2025-09-07T07:50:48.6523331Z "digest": "sha256:ffd43b71f3ccf3ba563606231cb1d191eb9dd0052f422d54835e6af350525170" 2025-09-07T07:50:48.6524211Z }, 2025-09-07T07:50:48.6524519Z { 2025-09-07T07:50:48.6525120Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6525916Z "size": 1215, 2025-09-07T07:50:48.6526686Z "digest": "sha256:830692b57f6e2758398ec80c3b67a20441d12696b54ed14f2ecebf926198f7d6" 2025-09-07T07:50:48.6527612Z }, 2025-09-07T07:50:48.6527960Z { 2025-09-07T07:50:48.6528548Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6529304Z "size": 482, 2025-09-07T07:50:48.6530057Z "digest": "sha256:5bad36d184686719399be50830a98939d7dbda2313fb407df5915217483fc6a3" 2025-09-07T07:50:48.6530932Z }, 2025-09-07T07:50:48.6531265Z { 2025-09-07T07:50:48.6531848Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6532622Z "size": 110343614, 2025-09-07T07:50:48.6533430Z "digest": "sha256:0e34fdd9ac5c39eb0a9d2c2d258b26f42bb79d7dc0a22014bf201daa2e033eb4" 2025-09-07T07:50:48.6534346Z }, 2025-09-07T07:50:48.6551281Z { 2025-09-07T07:50:48.6551977Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6552764Z "size": 4786, 2025-09-07T07:50:48.6553841Z "digest": "sha256:3c868a62868ef54f82ac11be8dabe1b4365d000bacfe4c104e08022fc96dd767" 2025-09-07T07:50:48.6555005Z }, 2025-09-07T07:50:48.6555360Z { 2025-09-07T07:50:48.6555969Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6556743Z "size": 1710, 2025-09-07T07:50:48.6557451Z "digest": "sha256:62170a22dd571d55ffccac64c0be17f4006d2498cfbf7c6289325f0899cba005" 2025-09-07T07:50:48.6558296Z }, 2025-09-07T07:50:48.6558638Z { 2025-09-07T07:50:48.6559191Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6559970Z "size": 724, 2025-09-07T07:50:48.6560728Z "digest": "sha256:553c1d23b6c4dbd8ab136d0c3659460391ffa14cb9b43be9d7b2f47f90895697" 2025-09-07T07:50:48.6561598Z }, 2025-09-07T07:50:48.6561933Z { 2025-09-07T07:50:48.6562525Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6563486Z "size": 543, 2025-09-07T07:50:48.6564231Z "digest": "sha256:9408d557a804a7dce00897e03ce9f4f447281eb38ce4bc331098a1f1a5ff0d30" 2025-09-07T07:50:48.6565078Z }, 2025-09-07T07:50:48.6565438Z { 2025-09-07T07:50:48.6566041Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6566804Z "size": 3241148049, 2025-09-07T07:50:48.6567601Z "digest": "sha256:df607cfc7c07db6d442e0274e2be8cdc507df8716717363aa92f2fea069bdd9a" 2025-09-07T07:50:48.6568518Z }, 2025-09-07T07:50:48.6568866Z { 2025-09-07T07:50:48.6569430Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6570179Z "size": 32, 2025-09-07T07:50:48.6570896Z "digest": 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"sha256:32340b97ae50ba7b2918ab40d6f4a8db875afee69318f484e4deb0a1e2ec4beb" 2025-09-07T07:50:48.6735981Z }, 2025-09-07T07:50:48.6736312Z { 2025-09-07T07:50:48.6736911Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6737776Z "size": 32, 2025-09-07T07:50:48.6738527Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:50:48.6739442Z }, 2025-09-07T07:50:48.6739779Z { 2025-09-07T07:50:48.6740379Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6741151Z "size": 109, 2025-09-07T07:50:48.6741927Z "digest": "sha256:5bbb04cd6b57ae13d7cf05ab9e9b4ed9752833ee2dba4eeaac47bde6022c4725" 2025-09-07T07:50:48.6742853Z }, 2025-09-07T07:50:48.6743189Z { 2025-09-07T07:50:48.6743750Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6744547Z "size": 1897, 2025-09-07T07:50:48.6745335Z "digest": "sha256:d8c4b845cfc7ca7cc0604f472bf6da8b1f1d4e98dff3c76e1985a7013a5b9e3f" 2025-09-07T07:50:48.6746265Z }, 2025-09-07T07:50:48.6746670Z + exit 0 2025-09-07T07:50:48.6747015Z { 2025-09-07T07:50:48.6747605Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6748370Z "size": 243440375, 2025-09-07T07:50:48.6749167Z "digest": "sha256:b35c180f4d8ddc2396eac4a6b893f438481a8163ceb0b88f203488bc5f2a8ba4" 2025-09-07T07:50:48.6750062Z }, 2025-09-07T07:50:48.6750408Z { 2025-09-07T07:50:48.6751005Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6751782Z "size": 106, 2025-09-07T07:50:48.6752522Z "digest": "sha256:5f967b3c303a99e609441551f7c8988cca4fd464c0c3127506bff8509583091b" 2025-09-07T07:50:48.6753419Z }, 2025-09-07T07:50:48.6753758Z { 2025-09-07T07:50:48.6754347Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6755133Z "size": 166, 2025-09-07T07:50:48.6755899Z "digest": "sha256:04770904f012e5584f1c19a0bc92d9863baaebf08bf75b4a9981f2b7795c8953" 2025-09-07T07:50:48.6756798Z }, 2025-09-07T07:50:48.6757143Z { 2025-09-07T07:50:48.6757738Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6758520Z "size": 7943, 2025-09-07T07:50:48.6759281Z "digest": "sha256:73373941fb321b4cb4a171b1423a68a4c7fedada3a1498868d7efe93cb03170e" 2025-09-07T07:50:48.6760177Z }, 2025-09-07T07:50:48.6760516Z { 2025-09-07T07:50:48.6761117Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6761892Z "size": 8072, 2025-09-07T07:50:48.6762660Z "digest": "sha256:9572e6cd907bfa4888456dbccc6e22146a0044374585f3fa0a8ced19b831ed62" 2025-09-07T07:50:48.6763572Z }, 2025-09-07T07:50:48.6763925Z { 2025-09-07T07:50:48.6764538Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6765338Z "size": 304, 2025-09-07T07:50:48.6766098Z "digest": "sha256:64a544aba233551e38898f138dd6ba3161ccdb9554e0ffb5b9d8f0f7fe4a7fa8" 2025-09-07T07:50:48.6767013Z }, 2025-09-07T07:50:48.6767356Z { 2025-09-07T07:50:48.6768198Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6769125Z "size": 13362696, 2025-09-07T07:50:48.6769846Z "digest": "sha256:7e35418a24997de5428763c93826679486760a1a9563209ae64de66ba45f99c1" 2025-09-07T07:50:48.6770716Z }, 2025-09-07T07:50:48.6771065Z { 2025-09-07T07:50:48.6771644Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6772436Z "size": 108, 2025-09-07T07:50:48.6773180Z "digest": "sha256:2ed8e82748d4a1131f41d9e41322f47a6ffef67a5a2b7bf5392237db5c035c61" 2025-09-07T07:50:48.6774061Z }, 2025-09-07T07:50:48.6774400Z { 2025-09-07T07:50:48.6775003Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6775790Z "size": 54145663, 2025-09-07T07:50:48.6776582Z "digest": "sha256:c988fbcccd708fb158a81c429d32e1060a7e40924fc3c987c629fa69d9484717" 2025-09-07T07:50:48.6777564Z }, 2025-09-07T07:50:48.6777912Z { 2025-09-07T07:50:48.6778521Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:50:48.6779317Z "size": 32, 2025-09-07T07:50:48.6780079Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:50:48.6781000Z } 2025-09-07T07:50:48.6781353Z ] 2025-09-07T07:50:48.6781696Z } 2025-09-07T07:50:48.6822689Z ##[group]Run set -eux 2025-09-07T07:50:48.6823177Z set -eux 2025-09-07T07:50:48.6823976Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T07:50:48.6826128Z 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 2025-09-07T07:50:48.6846974Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:48.6847672Z env: 2025-09-07T07:50:48.6848066Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:48.6848551Z ##[endgroup] 2025-09-07T07:50:48.6890554Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T07:50:48.6891774Z + jq --raw-output .SecretString 2025-09-07T07:50:48.6893101Z + jq -r .docker_hub_readonly_token 2025-09-07T07:50:48.6894418Z + docker login --username pytorchbot --password-stdin 2025-09-07T07:50:49.4462958Z 2025-09-07T07:50:49.4463604Z WARNING! Your credentials are stored unencrypted in '/home/grace/.docker/config.json'. 2025-09-07T07:50:49.4464252Z Configure a credential helper to remove this warning. See 2025-09-07T07:50:49.4464719Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:50:49.4464967Z 2025-09-07T07:50:49.4465061Z Login Succeeded 2025-09-07T07:50:49.4549213Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:50:49.4549610Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:50:49.4550006Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T07:50:49.4562730Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:49.4563296Z env: 2025-09-07T07:50:49.4563522Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:49.4564520Z 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 2025-09-07T07:50:49.4565500Z ##[endgroup] 2025-09-07T07:50:49.4597473Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:49.4641505Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T07:50:49.4641957Z with: 2025-09-07T07:50:49.4643151Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:49.4644250Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:49.4644648Z env: 2025-09-07T07:50:49.4644869Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:49.4645139Z ##[endgroup] 2025-09-07T07:50:49.4659500Z ##[group]Run set -x 2025-09-07T07:50:49.4659933Z set -x 2025-09-07T07:50:49.4660165Z set +e 2025-09-07T07:50:49.4660383Z  2025-09-07T07:50:49.4660581Z login() { 2025-09-07T07:50:49.4661065Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:50:49.4661593Z } 2025-09-07T07:50:49.4661807Z  2025-09-07T07:50:49.4662057Z retry () { 2025-09-07T07:50:49.4662335Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:50:49.4662648Z } 2025-09-07T07:50:49.4662857Z  2025-09-07T07:50:49.4663094Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:50:49.4663405Z  2025-09-07T07:50:49.4663885Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T07:50:49.4664558Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T07:50:49.4664936Z  2025-09-07T07:50:49.4665151Z set -e 2025-09-07T07:50:49.4665490Z # ignore output since only exit code is used for conditional 2025-09-07T07:50:49.4665998Z # only pull docker image if it's not available locally 2025-09-07T07:50:49.4666556Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T07:50:49.4667074Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T07:50:49.4667402Z fi 2025-09-07T07:50:49.4678824Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:49.4679222Z env: 2025-09-07T07:50:49.4679445Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:50:49.4680400Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:49.4681485Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:49.4681871Z ##[endgroup] 2025-09-07T07:50:49.4709205Z + set +e 2025-09-07T07:50:49.4709775Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:49.4710240Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:49.4712702Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:50:49.4714477Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:50:50.1412332Z 2025-09-07T07:50:50.1412782Z WARNING! Your credentials are stored unencrypted in '/home/grace/.docker/config.json'. 2025-09-07T07:50:50.1413406Z Configure a credential helper to remove this warning. See 2025-09-07T07:50:50.1413861Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:50:50.1414109Z 2025-09-07T07:50:50.1414204Z Login Succeeded 2025-09-07T07:50:50.1436507Z ++ 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 2025-09-07T07:50:50.1437631Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T07:50:50.3886486Z + IMAGE_SIZE=36183.606596946716 2025-09-07T07:50:50.3886909Z + echo 'Compressed size of image in MB: 36183.606596946716' 2025-09-07T07:50:50.3887300Z + set -e 2025-09-07T07:50:50.3888597Z + 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 2025-09-07T07:50:50.3889706Z Compressed size of image in MB: 36183.606596946716 2025-09-07T07:50:50.4002125Z + 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 2025-09-07T07:50:50.4004087Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:50.6472777Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T07:50:50.6474113Z e6fdc8487bfe: Pulling fs layer 2025-09-07T07:50:50.6474400Z 171dcef20c49: Pulling fs layer 2025-09-07T07:50:50.6474697Z 4c92b3f72f1d: Pulling fs layer 2025-09-07T07:50:50.6474984Z 744f9ba90a65: Pulling fs layer 2025-09-07T07:50:50.6475288Z d3c08322a332: Pulling fs layer 2025-09-07T07:50:50.6475563Z ffd43b71f3cc: Pulling fs layer 2025-09-07T07:50:50.6475876Z 830692b57f6e: Pulling fs layer 2025-09-07T07:50:50.6476158Z 744f9ba90a65: Waiting 2025-09-07T07:50:50.6476416Z 5bad36d18468: Pulling fs layer 2025-09-07T07:50:50.6476691Z d3c08322a332: Waiting 2025-09-07T07:50:50.6476935Z 0e34fdd9ac5c: Pulling fs layer 2025-09-07T07:50:50.6477218Z 3c868a62868e: Pulling fs layer 2025-09-07T07:50:50.6477490Z 830692b57f6e: Waiting 2025-09-07T07:50:50.6477738Z 62170a22dd57: Pulling fs layer 2025-09-07T07:50:50.6477998Z 5bad36d18468: Waiting 2025-09-07T07:50:50.6478252Z 553c1d23b6c4: Pulling fs layer 2025-09-07T07:50:50.6478537Z 0e34fdd9ac5c: Waiting 2025-09-07T07:50:50.6478791Z 9408d557a804: Pulling fs layer 2025-09-07T07:50:50.6479049Z 62170a22dd57: Waiting 2025-09-07T07:50:50.6479298Z df607cfc7c07: Pulling fs layer 2025-09-07T07:50:50.6479573Z 553c1d23b6c4: Waiting 2025-09-07T07:50:50.6479808Z 9408d557a804: Waiting 2025-09-07T07:50:50.6480047Z 4f4fb700ef54: Pulling fs layer 2025-09-07T07:50:50.6480325Z 3c868a62868e: Waiting 2025-09-07T07:50:50.6480565Z df607cfc7c07: Waiting 2025-09-07T07:50:50.6480819Z 40a8e39faeda: Pulling fs layer 2025-09-07T07:50:50.6481083Z 4f4fb700ef54: Waiting 2025-09-07T07:50:50.6481334Z d895771c9fac: Pulling fs layer 2025-09-07T07:50:50.6481620Z c4ee04f39d49: Pulling fs layer 2025-09-07T07:50:50.6481896Z 3690c9826e48: Pulling fs layer 2025-09-07T07:50:50.6482180Z 57cbc5013733: Pulling fs layer 2025-09-07T07:50:50.6482454Z 40a8e39faeda: Waiting 2025-09-07T07:50:50.6482695Z c4ee04f39d49: Waiting 2025-09-07T07:50:50.6483244Z f5f4b06b58bb: Pulling fs layer 2025-09-07T07:50:50.6483536Z d895771c9fac: Waiting 2025-09-07T07:50:50.6483781Z 57cbc5013733: Waiting 2025-09-07T07:50:50.6484034Z f59713ce4bf4: Pulling fs layer 2025-09-07T07:50:50.6484292Z 3690c9826e48: Waiting 2025-09-07T07:50:50.6484535Z f5f4b06b58bb: Waiting 2025-09-07T07:50:50.6484785Z fe0486521517: Pulling fs layer 2025-09-07T07:50:50.6485060Z f59713ce4bf4: Waiting 2025-09-07T07:50:50.6485303Z 8c21cc3715a2: Pulling fs layer 2025-09-07T07:50:50.6485615Z d37c58456a6a: Pulling fs layer 2025-09-07T07:50:50.6485902Z d042f63abc13: Pulling fs layer 2025-09-07T07:50:50.6486185Z 621284a9c05a: Pulling fs layer 2025-09-07T07:50:50.6486458Z 8c21cc3715a2: Waiting 2025-09-07T07:50:50.6486684Z fe0486521517: Waiting 2025-09-07T07:50:50.6486923Z d37c58456a6a: Waiting 2025-09-07T07:50:50.6487162Z d042f63abc13: Waiting 2025-09-07T07:50:50.6487416Z 85f605d2dd3a: Pulling fs layer 2025-09-07T07:50:50.6487682Z 621284a9c05a: Waiting 2025-09-07T07:50:50.6487927Z 381b5539e598: Pulling fs layer 2025-09-07T07:50:50.6488200Z 85f605d2dd3a: Waiting 2025-09-07T07:50:50.6488459Z a487c0c80029: Pulling fs layer 2025-09-07T07:50:50.6488729Z 48bcb81e2566: Pulling fs layer 2025-09-07T07:50:50.6488999Z a487c0c80029: Waiting 2025-09-07T07:50:50.6489240Z 381b5539e598: Waiting 2025-09-07T07:50:50.6489478Z 48bcb81e2566: Waiting 2025-09-07T07:50:50.6489713Z e261928c0043: Pulling fs layer 2025-09-07T07:50:50.6489996Z 0fea55428091: Pulling fs layer 2025-09-07T07:50:50.6490514Z b4291bccbb84: Pulling fs layer 2025-09-07T07:50:50.6490802Z e261928c0043: Waiting 2025-09-07T07:50:50.6491042Z ddc91b09189a: Pulling fs layer 2025-09-07T07:50:50.6491327Z 7540c7428627: Pulling fs layer 2025-09-07T07:50:50.6491598Z 0fea55428091: Waiting 2025-09-07T07:50:50.6491842Z b4291bccbb84: Waiting 2025-09-07T07:50:50.6492071Z ddc91b09189a: Waiting 2025-09-07T07:50:50.6492311Z 7540c7428627: Waiting 2025-09-07T07:50:50.6503474Z 003c4e2598fb: Pulling fs layer 2025-09-07T07:50:50.6503950Z 5687149362ae: Pulling fs layer 2025-09-07T07:50:50.6504254Z cdd2cf54eb2a: Pulling fs layer 2025-09-07T07:50:50.6504872Z 003c4e2598fb: Waiting 2025-09-07T07:50:50.6505122Z 5687149362ae: Waiting 2025-09-07T07:50:50.6505370Z d3ad4df1ba3a: Pulling fs layer 2025-09-07T07:50:50.6505660Z 3c9055753b4c: Pulling fs layer 2025-09-07T07:50:50.6505939Z cdd2cf54eb2a: Waiting 2025-09-07T07:50:50.6506192Z d3ad4df1ba3a: Waiting 2025-09-07T07:50:50.6506438Z 31cf8d0bd21c: Pulling fs layer 2025-09-07T07:50:50.6506733Z 6623ea814971: Pulling fs layer 2025-09-07T07:50:50.6507020Z 11696c3aa380: Pulling fs layer 2025-09-07T07:50:50.6507310Z ef4d544e35ca: Pulling fs layer 2025-09-07T07:50:50.6507572Z 3c9055753b4c: Waiting 2025-09-07T07:50:50.6507810Z 6623ea814971: Waiting 2025-09-07T07:50:50.6508051Z 11696c3aa380: Waiting 2025-09-07T07:50:50.6508294Z 31cf8d0bd21c: Waiting 2025-09-07T07:50:50.6508534Z 5c5108865e5e: Pulling fs layer 2025-09-07T07:50:50.6508825Z 9e97578e9edf: Pulling fs layer 2025-09-07T07:50:50.6509100Z 5c5108865e5e: Waiting 2025-09-07T07:50:50.6509331Z ef4d544e35ca: Waiting 2025-09-07T07:50:50.6509590Z da5a91b54cb5: Pulling fs layer 2025-09-07T07:50:50.6509871Z 9e97578e9edf: Waiting 2025-09-07T07:50:50.6510124Z 1e93be219e89: Pulling fs layer 2025-09-07T07:50:50.6510386Z da5a91b54cb5: Waiting 2025-09-07T07:50:50.6510631Z 1e93be219e89: Waiting 2025-09-07T07:50:50.6510880Z 136825afebb5: Pulling fs layer 2025-09-07T07:50:50.6511168Z 22b39805302d: Pulling fs layer 2025-09-07T07:50:50.6511430Z 136825afebb5: Waiting 2025-09-07T07:50:50.6511691Z d12add675e35: Pulling fs layer 2025-09-07T07:50:50.6511966Z 22b39805302d: Waiting 2025-09-07T07:50:50.6512206Z d12add675e35: Waiting 2025-09-07T07:50:50.6512445Z bc127046d33a: Pulling fs layer 2025-09-07T07:50:50.6512732Z 951e8ce83841: Pulling fs layer 2025-09-07T07:50:50.6513014Z 32340b97ae50: Pulling fs layer 2025-09-07T07:50:50.6513288Z bc127046d33a: Waiting 2025-09-07T07:50:50.6513532Z 5bbb04cd6b57: Pulling fs layer 2025-09-07T07:50:50.6513810Z 951e8ce83841: Waiting 2025-09-07T07:50:50.6514056Z 32340b97ae50: Waiting 2025-09-07T07:50:50.6514310Z d8c4b845cfc7: Pulling fs layer 2025-09-07T07:50:50.6514589Z b35c180f4d8d: Pulling fs layer 2025-09-07T07:50:50.6514880Z 5f967b3c303a: Pulling fs layer 2025-09-07T07:50:50.6515160Z 5bbb04cd6b57: Waiting 2025-09-07T07:50:50.6515402Z 04770904f012: Pulling fs layer 2025-09-07T07:50:50.6515664Z b35c180f4d8d: Waiting 2025-09-07T07:50:50.6515910Z d8c4b845cfc7: Waiting 2025-09-07T07:50:50.6516150Z 5f967b3c303a: Waiting 2025-09-07T07:50:50.6516403Z 73373941fb32: Pulling fs layer 2025-09-07T07:50:50.6516675Z 9572e6cd907b: Pulling fs layer 2025-09-07T07:50:50.6516946Z 04770904f012: Waiting 2025-09-07T07:50:50.6517185Z 73373941fb32: Waiting 2025-09-07T07:50:50.6517437Z 64a544aba233: Pulling fs layer 2025-09-07T07:50:50.6517696Z 9572e6cd907b: Waiting 2025-09-07T07:50:50.6517952Z 7e35418a2499: Pulling fs layer 2025-09-07T07:50:50.6518241Z 2ed8e82748d4: Pulling fs layer 2025-09-07T07:50:50.6518530Z c988fbcccd70: Pulling fs layer 2025-09-07T07:50:50.6518791Z 7e35418a2499: Waiting 2025-09-07T07:50:50.6519032Z 64a544aba233: Waiting 2025-09-07T07:50:50.6519283Z 2ed8e82748d4: Waiting 2025-09-07T07:50:50.6519528Z c988fbcccd70: Waiting 2025-09-07T07:50:50.7355638Z 171dcef20c49: Verifying Checksum 2025-09-07T07:50:50.7356006Z 171dcef20c49: Download complete 2025-09-07T07:50:50.8168313Z 744f9ba90a65: Verifying Checksum 2025-09-07T07:50:50.8168696Z 744f9ba90a65: Download complete 2025-09-07T07:50:50.8943341Z d3c08322a332: Verifying Checksum 2025-09-07T07:50:50.8947435Z d3c08322a332: Download complete 2025-09-07T07:50:50.9625694Z ffd43b71f3cc: Verifying Checksum 2025-09-07T07:50:50.9626046Z ffd43b71f3cc: Download complete 2025-09-07T07:50:51.0106898Z e6fdc8487bfe: Verifying Checksum 2025-09-07T07:50:51.0107237Z e6fdc8487bfe: Download complete 2025-09-07T07:50:51.0750538Z 830692b57f6e: Verifying Checksum 2025-09-07T07:50:51.0750949Z 830692b57f6e: Download complete 2025-09-07T07:50:51.0915780Z 5bad36d18468: Download complete 2025-09-07T07:50:51.1582494Z 3c868a62868e: Download complete 2025-09-07T07:50:51.2356244Z 62170a22dd57: Verifying Checksum 2025-09-07T07:50:51.2356999Z 62170a22dd57: Download complete 2025-09-07T07:50:51.3168849Z 553c1d23b6c4: Verifying Checksum 2025-09-07T07:50:51.3169264Z 553c1d23b6c4: Download complete 2025-09-07T07:50:51.3872642Z 9408d557a804: Verifying Checksum 2025-09-07T07:50:51.3873032Z 9408d557a804: Download complete 2025-09-07T07:50:51.8914045Z e6fdc8487bfe: Pull complete 2025-09-07T07:50:51.9378877Z 171dcef20c49: Pull complete 2025-09-07T07:50:52.2422642Z 0e34fdd9ac5c: Verifying Checksum 2025-09-07T07:50:52.2423042Z 0e34fdd9ac5c: Download complete 2025-09-07T07:50:52.2513964Z 4f4fb700ef54: Download complete 2025-09-07T07:50:52.3338942Z 40a8e39faeda: Verifying Checksum 2025-09-07T07:50:52.3339318Z 40a8e39faeda: Download complete 2025-09-07T07:50:52.9419700Z d895771c9fac: Verifying Checksum 2025-09-07T07:50:52.9420096Z d895771c9fac: Download complete 2025-09-07T07:50:53.0064010Z c4ee04f39d49: Verifying Checksum 2025-09-07T07:50:53.0064412Z c4ee04f39d49: Download complete 2025-09-07T07:50:53.1475023Z 3690c9826e48: Verifying Checksum 2025-09-07T07:50:53.1475457Z 3690c9826e48: Download complete 2025-09-07T07:50:53.2171697Z 57cbc5013733: Verifying Checksum 2025-09-07T07:50:53.2172090Z 57cbc5013733: Download complete 2025-09-07T07:50:53.2948889Z f5f4b06b58bb: Verifying Checksum 2025-09-07T07:50:53.2949284Z f5f4b06b58bb: Download complete 2025-09-07T07:50:53.3824853Z f59713ce4bf4: Verifying Checksum 2025-09-07T07:50:53.3825269Z f59713ce4bf4: Download complete 2025-09-07T07:50:53.4457762Z fe0486521517: Download complete 2025-09-07T07:50:53.8709382Z 4c92b3f72f1d: Verifying Checksum 2025-09-07T07:50:53.8709771Z 4c92b3f72f1d: Download complete 2025-09-07T07:50:54.0598026Z d37c58456a6a: Verifying Checksum 2025-09-07T07:50:54.0598391Z d37c58456a6a: Download complete 2025-09-07T07:51:04.4592152Z d042f63abc13: Verifying Checksum 2025-09-07T07:51:04.4592548Z d042f63abc13: Download complete 2025-09-07T07:51:04.5898166Z 621284a9c05a: Verifying Checksum 2025-09-07T07:51:04.5898560Z 621284a9c05a: Download complete 2025-09-07T07:51:04.6636034Z 85f605d2dd3a: Verifying Checksum 2025-09-07T07:51:04.6636462Z 85f605d2dd3a: Download complete 2025-09-07T07:51:05.9612045Z 4c92b3f72f1d: Pull complete 2025-09-07T07:51:07.6189649Z 744f9ba90a65: Pull complete 2025-09-07T07:51:08.7688090Z d3c08322a332: Pull complete 2025-09-07T07:51:09.2748863Z 381b5539e598: Verifying Checksum 2025-09-07T07:51:09.2749264Z 381b5539e598: Download complete 2025-09-07T07:51:09.4272434Z a487c0c80029: Verifying Checksum 2025-09-07T07:51:09.4272840Z a487c0c80029: Download complete 2025-09-07T07:51:09.5210547Z 48bcb81e2566: Verifying Checksum 2025-09-07T07:51:09.5210946Z 48bcb81e2566: Download complete 2025-09-07T07:51:09.6049871Z e261928c0043: Verifying Checksum 2025-09-07T07:51:09.6050225Z e261928c0043: Download complete 2025-09-07T07:51:09.6658044Z 0fea55428091: Verifying Checksum 2025-09-07T07:51:09.6658396Z 0fea55428091: Download complete 2025-09-07T07:51:10.0042579Z b4291bccbb84: Verifying Checksum 2025-09-07T07:51:10.0043231Z b4291bccbb84: Download complete 2025-09-07T07:51:10.0846186Z ddc91b09189a: Verifying Checksum 2025-09-07T07:51:10.0846718Z ddc91b09189a: Download complete 2025-09-07T07:51:10.1811490Z 7540c7428627: Verifying Checksum 2025-09-07T07:51:10.1812036Z 7540c7428627: Download complete 2025-09-07T07:51:10.2109521Z ffd43b71f3cc: Pull complete 2025-09-07T07:51:10.2618005Z 003c4e2598fb: Verifying Checksum 2025-09-07T07:51:10.2618333Z 003c4e2598fb: Download complete 2025-09-07T07:51:10.3426606Z 5687149362ae: Verifying Checksum 2025-09-07T07:51:10.3427003Z 5687149362ae: Download complete 2025-09-07T07:51:10.4380817Z cdd2cf54eb2a: Verifying Checksum 2025-09-07T07:51:10.4381210Z cdd2cf54eb2a: Download complete 2025-09-07T07:51:11.1365195Z 830692b57f6e: Pull complete 2025-09-07T07:51:12.4116289Z 5bad36d18468: Pull complete 2025-09-07T07:51:22.8545391Z 0e34fdd9ac5c: Pull complete 2025-09-07T07:51:23.9017128Z 3c868a62868e: Pull complete 2025-09-07T07:51:25.2843793Z 62170a22dd57: Pull complete 2025-09-07T07:51:26.5543349Z 553c1d23b6c4: Pull complete 2025-09-07T07:51:28.4597916Z 9408d557a804: Pull complete 2025-09-07T07:51:31.4147981Z df607cfc7c07: Verifying Checksum 2025-09-07T07:51:31.4148380Z df607cfc7c07: Download complete 2025-09-07T07:51:31.5931551Z 3c9055753b4c: Verifying Checksum 2025-09-07T07:51:31.5931947Z 3c9055753b4c: Download complete 2025-09-07T07:51:37.3465457Z 31cf8d0bd21c: Verifying Checksum 2025-09-07T07:51:37.3465860Z 31cf8d0bd21c: Download complete 2025-09-07T07:52:22.1161458Z 8c21cc3715a2: Verifying Checksum 2025-09-07T07:52:22.1161854Z 8c21cc3715a2: Download complete 2025-09-07T07:52:22.1930722Z 11696c3aa380: Download complete 2025-09-07T07:52:22.2897381Z ef4d544e35ca: Verifying Checksum 2025-09-07T07:52:22.2897778Z ef4d544e35ca: Download complete 2025-09-07T07:52:22.3747409Z 5c5108865e5e: Download complete 2025-09-07T07:52:22.4642086Z 9e97578e9edf: Verifying Checksum 2025-09-07T07:52:22.4642476Z 9e97578e9edf: Download complete 2025-09-07T07:52:22.5448155Z da5a91b54cb5: Verifying Checksum 2025-09-07T07:52:22.5448767Z da5a91b54cb5: Download complete 2025-09-07T07:52:22.6291013Z 1e93be219e89: Verifying Checksum 2025-09-07T07:52:22.6291424Z 1e93be219e89: Download complete 2025-09-07T07:52:22.7087189Z 136825afebb5: Verifying Checksum 2025-09-07T07:52:22.7087587Z 136825afebb5: Download complete 2025-09-07T07:52:22.7925433Z 22b39805302d: Download complete 2025-09-07T07:52:22.8711867Z d12add675e35: Verifying Checksum 2025-09-07T07:52:22.8712274Z d12add675e35: Download complete 2025-09-07T07:52:22.9494797Z bc127046d33a: Download complete 2025-09-07T07:52:23.0284063Z 951e8ce83841: Download complete 2025-09-07T07:52:23.0909431Z 32340b97ae50: Download complete 2025-09-07T07:52:23.1691196Z 5bbb04cd6b57: Download complete 2025-09-07T07:52:23.2533144Z d8c4b845cfc7: Verifying Checksum 2025-09-07T07:52:23.2533585Z d8c4b845cfc7: Download complete 2025-09-07T07:52:28.2237924Z b35c180f4d8d: Verifying Checksum 2025-09-07T07:52:28.2238566Z b35c180f4d8d: Download complete 2025-09-07T07:52:28.2889000Z 5f967b3c303a: Verifying Checksum 2025-09-07T07:52:28.2889380Z 5f967b3c303a: Download complete 2025-09-07T07:52:28.3732899Z 04770904f012: Download complete 2025-09-07T07:52:28.4372637Z 73373941fb32: Download complete 2025-09-07T07:52:28.5039707Z 9572e6cd907b: Download complete 2025-09-07T07:52:28.5814716Z 64a544aba233: Verifying Checksum 2025-09-07T07:52:28.5815187Z 64a544aba233: Download complete 2025-09-07T07:52:29.0644420Z 7e35418a2499: Download complete 2025-09-07T07:52:29.1218838Z 2ed8e82748d4: Download complete 2025-09-07T07:52:30.7190143Z c988fbcccd70: Verifying Checksum 2025-09-07T07:52:30.7190520Z c988fbcccd70: Download complete 2025-09-07T07:58:47.5046140Z 6623ea814971: Verifying Checksum 2025-09-07T07:58:47.5046516Z 6623ea814971: Download complete 2025-09-07T08:07:56.2495878Z df607cfc7c07: Pull complete 2025-09-07T08:08:01.9253269Z 4f4fb700ef54: Pull complete 2025-09-07T08:08:07.2568044Z 40a8e39faeda: Pull complete 2025-09-07T08:08:32.6416587Z d3ad4df1ba3a: Verifying Checksum 2025-09-07T08:08:32.6417004Z d3ad4df1ba3a: Download complete 2025-09-07T08:08:38.6312389Z d895771c9fac: Pull complete 2025-09-07T08:08:41.9052685Z c4ee04f39d49: Pull complete 2025-09-07T08:08:45.5642066Z 3690c9826e48: Pull complete 2025-09-07T08:08:48.6972922Z 57cbc5013733: Pull complete 2025-09-07T08:08:51.6879024Z f5f4b06b58bb: Pull complete 2025-09-07T08:08:54.3249827Z f59713ce4bf4: Pull complete 2025-09-07T08:08:57.0158863Z fe0486521517: Pull complete 2025-09-07T08:19:04.5596886Z 8c21cc3715a2: Pull complete 2025-09-07T08:19:10.9864674Z d37c58456a6a: Pull complete 2025-09-07T08:19:16.3464521Z d042f63abc13: Pull complete 2025-09-07T08:19:20.3405134Z 621284a9c05a: Pull complete 2025-09-07T08:19:24.7407182Z 85f605d2dd3a: Pull complete 2025-09-07T08:19:51.4216435Z 381b5539e598: Pull complete 2025-09-07T08:19:55.2455507Z a487c0c80029: Pull complete 2025-09-07T08:19:59.8356407Z 48bcb81e2566: Pull complete 2025-09-07T08:20:07.5468294Z e261928c0043: Pull complete 2025-09-07T08:20:10.9814189Z 0fea55428091: Pull complete 2025-09-07T08:20:14.8437478Z b4291bccbb84: Pull complete 2025-09-07T08:20:18.1435259Z ddc91b09189a: Pull complete 2025-09-07T08:20:21.9703107Z 7540c7428627: Pull complete 2025-09-07T08:20:28.3771500Z 003c4e2598fb: Pull complete 2025-09-07T08:20:31.6343307Z 5687149362ae: Pull complete 2025-09-07T08:20:34.8406333Z cdd2cf54eb2a: Pull complete 2025-09-07T08:37:26.2690969Z d3ad4df1ba3a: Pull complete 2025-09-07T08:37:28.2773550Z 3c9055753b4c: Pull complete 2025-09-07T08:38:33.0444977Z 31cf8d0bd21c: Pull complete 2025-09-07T08:50:03.9779260Z 6623ea814971: Pull complete 2025-09-07T08:50:06.1912778Z 11696c3aa380: Pull complete 2025-09-07T08:50:08.4782764Z ef4d544e35ca: Pull complete 2025-09-07T08:50:12.8277915Z 5c5108865e5e: Pull complete 2025-09-07T08:50:17.7613402Z 9e97578e9edf: Pull complete 2025-09-07T08:50:20.7912684Z da5a91b54cb5: Pull complete 2025-09-07T08:50:25.2371331Z 1e93be219e89: Pull complete 2025-09-07T08:50:29.1363482Z 136825afebb5: Pull complete 2025-09-07T08:50:31.2317128Z 22b39805302d: Pull complete 2025-09-07T08:50:35.1784352Z d12add675e35: Pull complete 2025-09-07T08:50:37.3575501Z bc127046d33a: Pull complete 2025-09-07T08:50:41.8889952Z 951e8ce83841: Pull complete 2025-09-07T08:50:44.5085508Z 32340b97ae50: Pull complete 2025-09-07T08:50:49.2120549Z 5bbb04cd6b57: Pull complete 2025-09-07T08:50:51.9343859Z d8c4b845cfc7: Pull complete 2025-09-07T08:51:05.5994806Z b35c180f4d8d: Pull complete 2025-09-07T08:51:08.7678342Z 5f967b3c303a: Pull complete 2025-09-07T08:51:11.5969851Z 04770904f012: Pull complete 2025-09-07T08:51:14.4492957Z 73373941fb32: Pull complete 2025-09-07T08:51:18.7884939Z 9572e6cd907b: Pull complete 2025-09-07T08:51:22.5678703Z 64a544aba233: Pull complete 2025-09-07T08:51:27.9289999Z 7e35418a2499: Pull complete 2025-09-07T08:51:30.5259157Z 2ed8e82748d4: Pull complete 2025-09-07T08:51:39.2646502Z c988fbcccd70: Pull complete 2025-09-07T08:51:44.5466437Z Digest: sha256:f30843ff9ea9e117a2c8e6d207e85c9e77dfe682f1dfcdfea5b94178d1bf00b3 2025-09-07T08:51:45.5265830Z 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 2025-09-07T08:51:45.9767295Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:51:46.2915793Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:51:46.2917473Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:51:46.2936178Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:51:46.2936834Z env: 2025-09-07T08:51:46.2937126Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:51:46.2937701Z ##[endgroup] 2025-09-07T08:51:47.2279481Z ##[group]Run echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T08:51:47.2280258Z echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T08:51:47.2293493Z shell: /usr/bin/bash -e {0} 2025-09-07T08:51:47.2293825Z env: 2025-09-07T08:51:47.2294066Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:51:47.2294331Z ##[endgroup] 2025-09-07T08:51:47.7441977Z ##[group]Run echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T08:51:47.7443580Z echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T08:51:47.7459203Z shell: /usr/bin/bash -e {0} 2025-09-07T08:51:47.7459538Z env: 2025-09-07T08:51:47.7459787Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:51:47.7460150Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:51:47.7460527Z ##[endgroup] 2025-09-07T08:51:47.8041308Z Prepare all required actions 2025-09-07T08:51:48.0641595Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T08:51:48.0641995Z with: 2025-09-07T08:51:48.0642504Z github-token: *** 2025-09-07T08:51:48.3701925Z env: 2025-09-07T08:51:48.3702310Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:51:48.3702721Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:51:48.3703273Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:51:48.3703797Z ##[endgroup] 2025-09-07T08:51:48.6313204Z ##[group]Run set -eux 2025-09-07T08:51:48.6313511Z set -eux 2025-09-07T08:51:48.6313971Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T08:51:48.6328377Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:51:48.6328769Z env: 2025-09-07T08:51:48.6329002Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:51:48.6329349Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:51:48.6329852Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:51:48.6330454Z GITHUB_TOKEN: *** 2025-09-07T08:51:48.6330708Z ##[endgroup] 2025-09-07T08:51:48.9164762Z + python3 .github/scripts/get_workflow_job_id.py 17525309334 i-03028b1668c838483-1007 2025-09-07T08:51:49.7474394Z Setting output job-id=49775768414 2025-09-07T08:51:49.7475001Z Setting output job-name=cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 4, 5, linux.aws.a100) 2025-09-07T08:51:49.8054401Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T08:51:49.8055206Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T08:51:49.8056914Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T08:51:49.8058438Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T08:51:49.8075931Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:51:49.8076582Z env: 2025-09-07T08:51:49.8076829Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:51:49.8077242Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:51:49.8077733Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:51:49.8078146Z JOB_ID: 49775768414 2025-09-07T08:51:49.8078721Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 4, 5, linux.aws.a100) 2025-09-07T08:51:49.8079279Z WORKFLOW_NAME: inductor-A100-perf-nightly 2025-09-07T08:51:49.8079619Z WORKFLOW_RUN_ID: 17525309334 2025-09-07T08:51:49.8079920Z MONITOR_LOG_INTERVAL: 15 2025-09-07T08:51:49.8080350Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T08:51:49.8080706Z ##[endgroup] 2025-09-07T08:51:50.5361022Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:51:51.8675489Z Collecting psutil==5.9.8 2025-09-07T08:51:52.2000938Z 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) 2025-09-07T08:51:52.9293927Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.2/288.2 KB 567.1 kB/s eta 0:00:00 2025-09-07T08:51:53.2659763Z Collecting dataclasses_json==0.6.7 2025-09-07T08:51:53.2695134Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T08:51:53.9025042Z Collecting nvidia-ml-py==11.525.84 2025-09-07T08:51:53.9057083Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T08:51:55.1116877Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T08:51:55.1152515Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T08:51:56.2823604Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T08:51:56.5120960Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T08:51:56.7790615Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.9/50.9 KB 153.6 kB/s eta 0:00:00 2025-09-07T08:51:57.8876999Z Collecting packaging>=17.0 2025-09-07T08:51:57.8907651Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T08:51:58.2584436Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.5/66.5 KB 153.8 kB/s eta 0:00:00 2025-09-07T08:51:58.6079958Z Collecting typing-extensions>=3.7.4 2025-09-07T08:51:58.6110782Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T08:51:58.9378414Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 44.6/44.6 KB 105.9 kB/s eta 0:00:00 2025-09-07T08:51:59.4586033Z Collecting mypy-extensions>=0.3.0 2025-09-07T08:51:59.6904621Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T08:52:00.4800666Z Installing collected packages: nvidia-ml-py, typing-extensions, psutil, packaging, mypy-extensions, typing-inspect, marshmallow, dataclasses_json 2025-09-07T08:52:06.2081544Z 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 2025-09-07T08:52:06.5495331Z Prepare all required actions 2025-09-07T08:52:06.5495837Z Getting action download info 2025-09-07T08:52:07.1108053Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T08:52:10.0334261Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T08:52:20.3717116Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T08:52:20.3717496Z with: 2025-09-07T08:52:20.3717754Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:52:20.3718088Z s3-bucket: gha-artifacts 2025-09-07T08:52:20.3718354Z env: 2025-09-07T08:52:20.3718572Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:52:20.3718916Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:20.3719367Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:52:20.3719763Z ##[endgroup] 2025-09-07T08:52:20.5693861Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T08:52:20.5694232Z with: 2025-09-07T08:52:20.5694478Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:52:20.5694825Z s3-bucket: gha-artifacts 2025-09-07T08:52:20.5695103Z region: us-east-1 2025-09-07T08:52:20.5695324Z env: 2025-09-07T08:52:20.5695557Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:52:20.5695898Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:20.5696361Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:52:20.5696843Z ##[endgroup] 2025-09-07T08:52:21.2090117Z (node:9363) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T08:52:21.2090622Z 2025-09-07T08:52:21.2090818Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T08:52:21.2091377Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T08:52:21.2091959Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T08:52:21.3019282Z Found 1 objects with prefix pytorch/pytorch/17525309334/linux-jammy-cuda12.8-py3.10-gcc9-sm80/ 2025-09-07T08:52:21.3019974Z Starting download (1/1): /home/grace/_work/pytorch/pytorch/artifacts.zip 2025-09-07T08:52:30.5449339Z Finished download (1/1): /home/grace/_work/pytorch/pytorch/artifacts.zip 2025-09-07T08:52:30.5459940Z Artifact download has finished successfully 2025-09-07T08:52:30.5696661Z ##[group]Run unzip -o artifacts.zip 2025-09-07T08:52:30.5697029Z unzip -o artifacts.zip 2025-09-07T08:52:30.5709686Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:52:30.5710119Z env: 2025-09-07T08:52:30.5710357Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:52:30.5710695Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:30.5711170Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:52:30.5711575Z ##[endgroup] 2025-09-07T08:52:30.6197241Z Archive: artifacts.zip 2025-09-07T08:52:30.6198857Z creating: dist/ 2025-09-07T08:52:34.0995203Z inflating: dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T08:52:34.0995726Z creating: dist/vision/ 2025-09-07T08:52:34.1115633Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:52:34.1116527Z creating: dist/audio/ 2025-09-07T08:52:34.1173670Z inflating: dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T08:52:34.1174167Z creating: dist/torchrec/ 2025-09-07T08:52:34.1200235Z inflating: dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T08:52:34.1200655Z creating: dist/fbgemm_gpu/ 2025-09-07T08:52:35.0210244Z inflating: dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T08:52:35.0210802Z creating: dist/ao/ 2025-09-07T08:52:35.0253001Z inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T08:52:35.0386249Z inflating: dist/.ninja_log 2025-09-07T08:52:35.0386927Z creating: build/custom_test_artifacts/ 2025-09-07T08:52:35.0387753Z creating: build/custom_test_artifacts/custom-op-build/ 2025-09-07T08:52:35.0388266Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-09-07T08:52:35.0388873Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-09-07T08:52:35.0395316Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-09-07T08:52:35.0395993Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/ 2025-09-07T08:52:35.0396673Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeSystem.cmake 2025-09-07T08:52:35.0397409Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/ 2025-09-07T08:52:35.0398116Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/tmp/ 2025-09-07T08:52:35.0398928Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/CMakeCCompilerId.c 2025-09-07T08:52:35.0400115Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/a.out 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build/bin/TCPStoreTest 2025-09-07T08:52:43.1877975Z inflating: build/bin/FileStoreTest 2025-09-07T08:52:43.1935231Z inflating: build/bin/HashStoreTest 2025-09-07T08:52:43.1950727Z inflating: build/bin/ProcessGroupMPITest 2025-09-07T08:52:43.1953534Z inflating: build/bin/example_allreduce 2025-09-07T08:52:43.2009839Z inflating: build/bin/Dimname_test 2025-09-07T08:52:43.2648042Z inflating: build/bin/NamedTensor_test 2025-09-07T08:52:43.2716683Z inflating: build/bin/MaybeOwned_test 2025-09-07T08:52:43.2795079Z inflating: build/bin/Dict_test 2025-09-07T08:52:43.2859590Z inflating: build/bin/atest 2025-09-07T08:52:43.2922647Z inflating: build/bin/apply_utils_test 2025-09-07T08:52:43.2990991Z inflating: build/bin/basic 2025-09-07T08:52:43.3053381Z inflating: build/bin/cpu_generator_test 2025-09-07T08:52:43.3112155Z inflating: build/bin/broadcast_test 2025-09-07T08:52:43.3166867Z inflating: build/bin/cpu_allocator_test 2025-09-07T08:52:43.3225212Z inflating: build/bin/cpu_profiling_allocator_test 2025-09-07T08:52:43.3322357Z inflating: build/bin/cpu_rng_test 2025-09-07T08:52:43.3385039Z inflating: build/bin/extension_backend_test 2025-09-07T08:52:43.3439822Z inflating: build/bin/dlconvertor_test 2025-09-07T08:52:43.3498953Z inflating: build/bin/half_test 2025-09-07T08:52:43.3601808Z inflating: build/bin/ivalue_test 2025-09-07T08:52:43.3655514Z inflating: build/bin/lazy_tensor_test 2025-09-07T08:52:43.4303169Z inflating: build/bin/math_kernel_test 2025-09-07T08:52:43.4363855Z inflating: build/bin/memory_format_test 2025-09-07T08:52:43.4421035Z inflating: build/bin/memory_overlapping_test 2025-09-07T08:52:43.4478150Z inflating: build/bin/mobile_memory_cleanup 2025-09-07T08:52:43.4540189Z inflating: build/bin/native_test 2025-09-07T08:52:43.4596044Z inflating: build/bin/operators_test 2025-09-07T08:52:43.4650805Z inflating: build/bin/operator_name_test 2025-09-07T08:52:43.4706567Z inflating: build/bin/packedtensoraccessor_test 2025-09-07T08:52:43.4777616Z inflating: build/bin/pow_test 2025-09-07T08:52:43.4831533Z inflating: build/bin/reduce_ops_test 2025-09-07T08:52:43.4888957Z inflating: build/bin/reportMemoryUsage_test 2025-09-07T08:52:43.4950441Z inflating: build/bin/quantized_test 2025-09-07T08:52:43.5011915Z inflating: build/bin/scalar_tensor_test 2025-09-07T08:52:43.5074917Z inflating: build/bin/scalar_test 2025-09-07T08:52:43.5130068Z inflating: build/bin/StorageUtils_test 2025-09-07T08:52:43.5186129Z inflating: build/bin/stride_properties_test 2025-09-07T08:52:43.5270985Z inflating: build/bin/tensor_iterator_test 2025-09-07T08:52:43.5325538Z inflating: build/bin/thread_init_test 2025-09-07T08:52:43.5983057Z inflating: build/bin/test_parallel 2025-09-07T08:52:43.6042580Z inflating: build/bin/type_ptr_test 2025-09-07T08:52:43.6106480Z inflating: build/bin/type_test 2025-09-07T08:52:43.6164135Z inflating: build/bin/undefined_tensor_test 2025-09-07T08:52:43.6219198Z inflating: build/bin/verify_api_visibility 2025-09-07T08:52:43.6293494Z inflating: build/bin/legacy_vmap_test 2025-09-07T08:52:43.6348648Z inflating: build/bin/weakref_test 2025-09-07T08:52:43.6403750Z inflating: build/bin/wrapdim_test 2025-09-07T08:52:43.6459045Z inflating: build/bin/xla_tensor_test 2025-09-07T08:52:43.6524193Z inflating: build/bin/IListRef_test 2025-09-07T08:52:43.6635075Z inflating: build/bin/List_test 2025-09-07T08:52:43.6705494Z inflating: build/bin/KernelFunction_test 2025-09-07T08:52:43.6833097Z inflating: build/bin/kernel_function_legacy_test 2025-09-07T08:52:43.6934014Z inflating: build/bin/kernel_function_test 2025-09-07T08:52:43.8352378Z inflating: build/bin/kernel_lambda_legacy_test 2025-09-07T08:52:43.8463214Z inflating: build/bin/kernel_lambda_test 2025-09-07T08:52:43.8529131Z inflating: build/bin/kernel_stackbased_test 2025-09-07T08:52:43.8631133Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-09-07T08:52:43.8686734Z inflating: build/bin/CppSignature_test 2025-09-07T08:52:43.8748038Z inflating: build/bin/backend_fallback_test 2025-09-07T08:52:43.8800974Z inflating: build/bin/op_allowlist_test 2025-09-07T08:52:43.9107084Z inflating: build/bin/op_registration_test 2025-09-07T08:52:43.9177023Z inflating: build/bin/inline_container_test 2025-09-07T08:52:43.9233210Z inflating: build/bin/cuda_apply_test 2025-09-07T08:52:43.9296534Z inflating: build/bin/cuda_atomic_ops_test 2025-09-07T08:52:43.9353432Z inflating: build/bin/cuda_allocator_test 2025-09-07T08:52:43.9414792Z inflating: build/bin/cuda_caching_host_allocator_test 2025-09-07T08:52:43.9488829Z inflating: build/bin/cuda_complex_math_test 2025-09-07T08:52:43.9551798Z inflating: build/bin/cuda_complex_test 2025-09-07T08:52:43.9617677Z inflating: build/bin/cuda_cub_test 2025-09-07T08:52:43.9671644Z inflating: build/bin/cuda_device_test 2025-09-07T08:52:43.9740616Z inflating: build/bin/cuda_distributions_test 2025-09-07T08:52:43.9797836Z inflating: build/bin/cuda_dlconvertor_test 2025-09-07T08:52:43.9851926Z inflating: build/bin/cuda_exchange_device_test 2025-09-07T08:52:43.9912779Z inflating: build/bin/cuda_generator_test 2025-09-07T08:52:43.9967132Z inflating: build/bin/cuda_half_test 2025-09-07T08:52:44.0023217Z inflating: build/bin/cuda_integer_divider_test 2025-09-07T08:52:44.0076808Z inflating: build/bin/cuda_optional_test 2025-09-07T08:52:44.0132714Z inflating: build/bin/cuda_reportMemoryUsage_test 2025-09-07T08:52:44.0188444Z inflating: build/bin/cuda_packedtensoraccessor_test 2025-09-07T08:52:44.0241678Z inflating: build/bin/cuda_allocatorTraceTracker_test 2025-09-07T08:52:44.0306687Z inflating: build/bin/cuda_stream_test 2025-09-07T08:52:44.0364883Z inflating: build/bin/cuda_vectorized_test 2025-09-07T08:52:44.0418424Z inflating: build/bin/cuda_cudnn_test 2025-09-07T08:52:44.0808290Z inflating: build/bin/test_nativert 2025-09-07T08:52:44.0866892Z inflating: build/bin/test_dist_autograd 2025-09-07T08:52:44.1714700Z inflating: build/bin/test_cpp_rpc 2025-09-07T08:52:44.4059217Z inflating: build/bin/test_api 2025-09-07T08:52:44.4061618Z inflating: build/bin/parallel_benchmark 2025-09-07T08:52:44.4129727Z inflating: build/bin/ProcessGroupNCCLTest 2025-09-07T08:52:44.5551215Z inflating: build/bin/ProcessGroupNCCLErrorsTest 2025-09-07T08:52:44.7579601Z inflating: build/bin/test_jit 2025-09-07T08:52:44.7649663Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T08:52:44.7711938Z inflating: build/bin/ProcessGroupGlooAsyncTest 2025-09-07T08:52:44.8067834Z inflating: build/bin/test_lazy 2025-09-07T08:52:44.8071470Z inflating: build/bin/torch_shm_manager 2025-09-07T08:52:44.8606974Z creating: .additional_ci_files/ 2025-09-07T08:52:44.8700156Z inflating: .additional_ci_files/test-times.json 2025-09-07T08:52:44.9043148Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T08:52:44.9353972Z ##[group]Run rm artifacts.zip 2025-09-07T08:52:44.9354311Z rm artifacts.zip 2025-09-07T08:52:44.9367701Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:52:44.9368110Z env: 2025-09-07T08:52:44.9368403Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:52:44.9368756Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:44.9369306Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:52:44.9369722Z ##[endgroup] 2025-09-07T08:52:45.2645459Z ##[group]Run df -H 2025-09-07T08:52:45.2645720Z df -H 2025-09-07T08:52:45.2661112Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:52:45.2661514Z env: 2025-09-07T08:52:45.2661740Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:52:45.2662083Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:45.2662547Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:52:45.2662927Z ##[endgroup] 2025-09-07T08:52:45.4035996Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T08:52:45.4036417Z overlay 5.3T 528G 4.7T 11% / 2025-09-07T08:52:45.4036755Z tmpfs 68M 0 68M 0% /dev 2025-09-07T08:52:45.4037090Z shm 68M 0 68M 0% /dev/shm 2025-09-07T08:52:45.4037445Z /dev/root 5.3T 528G 4.7T 11% /home/grace/_work 2025-09-07T08:52:45.4038010Z tmpfs 121G 111k 121G 1% /run/docker.sock 2025-09-07T08:52:45.4038411Z tmpfs 603G 13k 603G 1% /proc/driver/nvidia 2025-09-07T08:52:45.4038886Z tmpfs 241G 1.7M 241G 1% /run/.ro2188864426/nvidia-persistenced/socket 2025-09-07T08:52:45.4039346Z tmpfs 603G 0 603G 0% /proc/acpi 2025-09-07T08:52:45.4039698Z tmpfs 603G 0 603G 0% /proc/scsi 2025-09-07T08:52:45.4040055Z tmpfs 603G 0 603G 0% /sys/firmware 2025-09-07T08:52:45.4072951Z Prepare all required actions 2025-09-07T08:52:45.4073735Z Getting action download info 2025-09-07T08:52:45.6799132Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T08:52:45.6799502Z with: 2025-09-07T08:52:45.6799713Z env: 2025-09-07T08:52:45.6799936Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:52:45.6800267Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:45.6800734Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:52:45.6801134Z ##[endgroup] 2025-09-07T08:52:45.7919799Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T08:52:45.7920215Z with: 2025-09-07T08:52:45.7920440Z name: td_results 2025-09-07T08:52:45.7920700Z s3-bucket: gha-artifacts 2025-09-07T08:52:45.7921046Z region: us-east-1 2025-09-07T08:52:45.7921268Z env: 2025-09-07T08:52:45.7921814Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:52:45.7922173Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:45.7923082Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:52:45.7923509Z ##[endgroup] 2025-09-07T08:52:46.2471365Z (node:9385) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T08:52:46.2471889Z 2025-09-07T08:52:46.2472083Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T08:52:46.2472644Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T08:52:46.2473215Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T08:52:46.3366425Z Found 0 objects with prefix pytorch/pytorch/17525309334/td_results/ 2025-09-07T08:52:46.3628778Z Artifact download has finished successfully 2025-09-07T08:52:46.4027120Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T08:52:46.4027500Z mkdir -p .additional_ci_files 2025-09-07T08:52:46.4027966Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T08:52:46.4040602Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:52:46.4041004Z env: 2025-09-07T08:52:46.4041232Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:52:46.4041565Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:46.4042031Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:52:46.4042430Z ##[endgroup] 2025-09-07T08:52:46.5766988Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T08:52:46.6262789Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T08:52:46.6263190Z .github/scripts/parse_ref.py 2025-09-07T08:52:46.6274918Z shell: /usr/bin/bash -e {0} 2025-09-07T08:52:46.6275215Z env: 2025-09-07T08:52:46.6275440Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:52:46.6275785Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:46.6276240Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:52:46.6276658Z ##[endgroup] 2025-09-07T08:52:46.6910396Z Setting output branch=main 2025-09-07T08:52:46.7045187Z Prepare all required actions 2025-09-07T08:52:46.7045830Z Getting action download info 2025-09-07T08:52:46.8501635Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T08:52:46.8502035Z with: 2025-09-07T08:52:46.8502441Z github-token: *** 2025-09-07T08:52:46.8508155Z 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"}]} 2025-09-07T08:52:46.8514409Z job-name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 4, 5, linux.aws.a100) 2025-09-07T08:52:46.8514915Z env: 2025-09-07T08:52:46.8515130Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:52:46.8515475Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:46.8515926Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:52:46.8516323Z ##[endgroup] 2025-09-07T08:52:46.8982784Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T08:52:46.8983117Z with: 2025-09-07T08:52:46.8983330Z shell: bash 2025-09-07T08:52:46.8983563Z timeout_minutes: 10 2025-09-07T08:52:46.8983803Z max_attempts: 5 2025-09-07T08:52:46.8984047Z retry_wait_seconds: 30 2025-09-07T08:52:46.8984871Z 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 2025-09-07T08:52:46.8985750Z polling_interval_seconds: 1 2025-09-07T08:52:46.8986029Z warning_on_retry: true 2025-09-07T08:52:46.8986298Z continue_on_error: false 2025-09-07T08:52:46.8986559Z env: 2025-09-07T08:52:46.8986770Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:52:46.8987091Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:46.8987560Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:52:46.8988133Z GITHUB_TOKEN: *** 2025-09-07T08:52:46.8988374Z ##[endgroup] 2025-09-07T08:52:47.0609873Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T08:52:47.3710844Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:52:47.7015019Z Collecting requests==2.27.1 2025-09-07T08:52:47.7516401Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T08:52:48.1009943Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.1/63.1 KB 152.7 kB/s eta 0:00:00 2025-09-07T08:52:48.4579673Z Collecting pyyaml==6.0.2 2025-09-07T08:52:48.4611889Z Downloading PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (751 kB) 2025-09-07T08:52:48.6445073Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 751.2/751.2 KB 4.1 MB/s eta 0:00:00 2025-09-07T08:52:48.6589654Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3/dist-packages (from requests==2.27.1) (3.3) 2025-09-07T08:52:48.6595746Z Requirement already satisfied: certifi>=2017.4.17 in /usr/lib/python3/dist-packages (from requests==2.27.1) (2020.6.20) 2025-09-07T08:52:49.0398672Z Collecting charset-normalizer~=2.0.0 2025-09-07T08:52:49.0431472Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T08:52:49.2345852Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3/dist-packages (from requests==2.27.1) (1.26.5) 2025-09-07T08:52:49.3134378Z Installing collected packages: pyyaml, charset-normalizer, requests 2025-09-07T08:52:49.7925238Z WARNING: The script normalizer is installed in '/home/grace/.local/bin' which is not on PATH. 2025-09-07T08:52:49.7926089Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T08:52:50.7274460Z Successfully installed charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T08:52:51.0611706Z Command completed after 1 attempt(s). 2025-09-07T08:52:51.1113083Z ##[group]Run set -x 2025-09-07T08:52:51.1113364Z set -x 2025-09-07T08:52:51.1113600Z  2025-09-07T08:52:51.1113982Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T08:52:51.1114488Z # in runner workspace 2025-09-07T08:52:51.1114892Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T08:52:51.1127947Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:52:51.1128579Z env: 2025-09-07T08:52:51.1128794Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:52:51.1129152Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:51.1129617Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:52:51.1130012Z ##[endgroup] 2025-09-07T08:52:51.1656297Z + python3 /home/grace/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T08:52:51.1807044Z Setting output branch=main 2025-09-07T08:52:51.2173193Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T08:52:51.2173643Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T08:52:51.2173996Z echo "Job name: ${JOB_NAME}" 2025-09-07T08:52:51.2174302Z  2025-09-07T08:52:51.2174694Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T08:52:51.2175179Z # in runner workspace 2025-09-07T08:52:51.2175622Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T08:52:51.2176132Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T08:52:51.2176492Z  --job-name "${JOB_NAME}" \ 2025-09-07T08:52:51.2182487Z  --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"}]}" \ 2025-09-07T08:52:51.2188414Z  --selected-test-configs "" \ 2025-09-07T08:52:51.2188761Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T08:52:51.2189077Z  --tag "${TAG}" \ 2025-09-07T08:52:51.2189386Z  --event-name "${EVENT_NAME}" \ 2025-09-07T08:52:51.2189722Z  --schedule "${SCHEDULE}" \ 2025-09-07T08:52:51.2190042Z  --branch "${HEAD_BRANCH}" 2025-09-07T08:52:51.2201911Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:52:51.2202295Z env: 2025-09-07T08:52:51.2202525Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:52:51.2203059Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:51.2203530Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:52:51.2204139Z GITHUB_TOKEN: *** 2025-09-07T08:52:51.2204577Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 4, 5, linux.aws.a100) 2025-09-07T08:52:51.2205090Z PR_NUMBER: 2025-09-07T08:52:51.2205323Z TAG: 2025-09-07T08:52:51.2205737Z EVENT_NAME: schedule 2025-09-07T08:52:51.2205982Z SCHEDULE: 0 7 * * 0 2025-09-07T08:52:51.2206237Z HEAD_BRANCH: main 2025-09-07T08:52:51.2206489Z ##[endgroup] 2025-09-07T08:52:51.2660419Z Workflow: inductor-A100-perf-nightly 2025-09-07T08:52:51.2660948Z Job name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 4, 5, linux.aws.a100) 2025-09-07T08:52:51.8555534Z Setting output keep-going=True 2025-09-07T08:52:51.8555919Z Setting output ci-verbose-test-logs=False 2025-09-07T08:52:51.8556288Z Setting output ci-test-showlocals=False 2025-09-07T08:52:51.8556651Z Setting output ci-no-test-timeout=False 2025-09-07T08:52:51.8556992Z Setting output ci-no-td=False 2025-09-07T08:52:51.8557301Z Setting output ci-td-distributed=False 2025-09-07T08:52:51.8557643Z Setting output is-unstable=False 2025-09-07T08:52:51.8557969Z Setting output reenabled-issues= 2025-09-07T08:52:51.8564405Z 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"}]} 2025-09-07T08:52:51.8570476Z Setting output is-test-matrix-empty=False 2025-09-07T08:52:51.9023316Z ##[group]Run echo "Filtered matrix:" 2025-09-07T08:52:51.9023683Z echo "Filtered matrix:" 2025-09-07T08:52:51.9029360Z 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"}]}" 2025-09-07T08:52:51.9035436Z  2025-09-07T08:52:51.9035654Z echo 2025-09-07T08:52:51.9035943Z echo "Is the current job unstable? False" 2025-09-07T08:52:51.9036294Z  2025-09-07T08:52:51.9036500Z echo 2025-09-07T08:52:51.9036777Z echo "Is keep-going label set? True" 2025-09-07T08:52:51.9037114Z  2025-09-07T08:52:51.9037324Z echo 2025-09-07T08:52:51.9037554Z echo "Reenabled issues? " 2025-09-07T08:52:51.9050026Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:52:51.9050423Z env: 2025-09-07T08:52:51.9050652Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:52:51.9050997Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:51.9051449Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:52:51.9051850Z ##[endgroup] 2025-09-07T08:52:52.1424611Z Filtered matrix: 2025-09-07T08:52:52.1431279Z {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}]} 2025-09-07T08:52:52.1437000Z 2025-09-07T08:52:52.1437141Z Is the current job unstable? False 2025-09-07T08:52:52.1437352Z 2025-09-07T08:52:52.1437462Z Is keep-going label set? True 2025-09-07T08:52:52.1437667Z 2025-09-07T08:52:52.1437761Z Reenabled issues? 2025-09-07T08:52:52.1871922Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T08:52:52.1872461Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T08:52:52.1884466Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:52:52.1884870Z env: 2025-09-07T08:52:52.1885107Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:52:52.1885451Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:52.1885922Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:52:52.1886308Z JOB_TIMEOUT: 1440 2025-09-07T08:52:52.1886730Z ##[endgroup] 2025-09-07T08:52:52.4708789Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:52:52.4709332Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:52:52.4709809Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:52:52.4721466Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:52:52.4721853Z env: 2025-09-07T08:52:52.4722084Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:52:52.4722430Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:52.4723183Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:52:52.4723567Z ##[endgroup] 2025-09-07T08:52:52.7057617Z ##[group]Run set -x 2025-09-07T08:52:52.7057996Z set -x 2025-09-07T08:52:52.7058232Z  2025-09-07T08:52:52.7058481Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T08:52:52.7058886Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T08:52:52.7059307Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T08:52:52.7059683Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T08:52:52.7060002Z else 2025-09-07T08:52:52.7060248Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T08:52:52.7060573Z fi 2025-09-07T08:52:52.7060797Z  2025-09-07T08:52:52.7061076Z # Leaving 1GB for the runner and other things 2025-09-07T08:52:52.7061661Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T08:52:52.7062576Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T08:52:52.7063305Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T08:52:52.7063842Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T08:52:52.7064277Z  2025-09-07T08:52:52.7064550Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T08:52:52.7064920Z  SHM_OPTS= 2025-09-07T08:52:52.7065170Z  JENKINS_USER= 2025-09-07T08:52:52.7065532Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T08:52:52.7066021Z  # if for some reason cleanup action doesn't stop container 2025-09-07T08:52:52.7066436Z  # when job is cancelled 2025-09-07T08:52:52.7066755Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T08:52:52.7067058Z else 2025-09-07T08:52:52.7067320Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T08:52:52.7067670Z  JENKINS_USER="--user jenkins" 2025-09-07T08:52:52.7067999Z  DOCKER_SHELL_CMD= 2025-09-07T08:52:52.7068261Z fi 2025-09-07T08:52:52.7068473Z  2025-09-07T08:52:52.7068818Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T08:52:52.7069369Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T08:52:52.7069990Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T08:52:52.7070546Z # shellcheck disable=SC2086,SC2090 2025-09-07T08:52:52.7070898Z container_name=$(docker run \ 2025-09-07T08:52:52.7071221Z  ${GPU_FLAG:-} \ 2025-09-07T08:52:52.7071539Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T08:52:52.7071885Z  -e BUILD_ENVIRONMENT \ 2025-09-07T08:52:52.7072193Z  -e PR_NUMBER \ 2025-09-07T08:52:52.7072480Z  -e GITHUB_ACTIONS \ 2025-09-07T08:52:52.7072784Z  -e GITHUB_REPOSITORY \ 2025-09-07T08:52:52.7073091Z  -e GITHUB_WORKFLOW \ 2025-09-07T08:52:52.7073387Z  -e GITHUB_JOB \ 2025-09-07T08:52:52.7073666Z  -e GITHUB_RUN_ID \ 2025-09-07T08:52:52.7073958Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T08:52:52.7074255Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T08:52:52.7074557Z  -e JOB_ID \ 2025-09-07T08:52:52.7075024Z  -e JOB_NAME \ 2025-09-07T08:52:52.7075301Z  -e BASE_SHA \ 2025-09-07T08:52:52.7075556Z  -e BRANCH \ 2025-09-07T08:52:52.7075818Z  -e SHA1 \ 2025-09-07T08:52:52.7076085Z  -e AWS_DEFAULT_REGION \ 2025-09-07T08:52:52.7076394Z  -e IN_WHEEL_TEST \ 2025-09-07T08:52:52.7076669Z  -e SHARD_NUMBER \ 2025-09-07T08:52:52.7076952Z  -e TEST_CONFIG \ 2025-09-07T08:52:52.7077243Z  -e NUM_TEST_SHARDS \ 2025-09-07T08:52:52.7077544Z  -e REENABLED_ISSUES \ 2025-09-07T08:52:52.7077845Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T08:52:52.7078325Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T08:52:52.7078641Z  -e TEST_SHOWLOCALS \ 2025-09-07T08:52:52.7078945Z  -e NO_TEST_TIMEOUT \ 2025-09-07T08:52:52.7079217Z  -e NO_TD \ 2025-09-07T08:52:52.7079483Z  -e TD_DISTRIBUTED \ 2025-09-07T08:52:52.7079776Z  -e PR_LABELS \ 2025-09-07T08:52:52.7080093Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T08:52:52.7080420Z  -e SCCACHE_BUCKET \ 2025-09-07T08:52:52.7080712Z  -e SCCACHE_REGION \ 2025-09-07T08:52:52.7081002Z  -e XLA_CUDA \ 2025-09-07T08:52:52.7081297Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T08:52:52.7081669Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T08:52:52.7082037Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T08:52:52.7082415Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T08:52:52.7082771Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T08:52:52.7083293Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T08:52:52.7083633Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T08:52:52.7083967Z  -e DASHBOARD_TAG \ 2025-09-07T08:52:52.7084264Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T08:52:52.7084637Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T08:52:52.7085058Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T08:52:52.7085488Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T08:52:52.7085892Z  --security-opt seccomp=unconfined \ 2025-09-07T08:52:52.7086242Z  --cap-add=SYS_PTRACE \ 2025-09-07T08:52:52.7086547Z  --ipc=host \ 2025-09-07T08:52:52.7086800Z  ${SHM_OPTS} \ 2025-09-07T08:52:52.7087064Z  --tty \ 2025-09-07T08:52:52.7087313Z  --detach \ 2025-09-07T08:52:52.7087580Z  --name="${container_name}" \ 2025-09-07T08:52:52.7087913Z  ${JENKINS_USER} \ 2025-09-07T08:52:52.7088276Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T08:52:52.7088689Z  -w /var/lib/jenkins/workspace \ 2025-09-07T08:52:52.7089022Z  "${DOCKER_IMAGE}" \ 2025-09-07T08:52:52.7089303Z  ${DOCKER_SHELL_CMD} 2025-09-07T08:52:52.7089581Z ) 2025-09-07T08:52:52.7089892Z # Propagate download.pytorch.org IP to container 2025-09-07T08:52:52.7090580Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T08:52:52.7091317Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T08:52:52.7091729Z  2025-09-07T08:52:52.7092006Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T08:52:52.7092605Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T08:52:52.7093148Z fi 2025-09-07T08:52:52.7093354Z  2025-09-07T08:52:52.7093866Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T08:52:52.7105841Z shell: /usr/bin/bash -e {0} 2025-09-07T08:52:52.7106131Z env: 2025-09-07T08:52:52.7106356Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:52:52.7106685Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:52.7107332Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:52:52.7107824Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:52:52.7108210Z PR_NUMBER: 2025-09-07T08:52:52.7108445Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T08:52:52.7108791Z GITHUB_WORKFLOW: inductor-A100-perf-nightly 2025-09-07T08:52:52.7109128Z GITHUB_JOB: test 2025-09-07T08:52:52.7109375Z GITHUB_RUN_ID: 17525309334 2025-09-07T08:52:52.7109644Z GITHUB_RUN_NUMBER: 5418 2025-09-07T08:52:52.7109913Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T08:52:52.7110166Z JOB_ID: 49775768414 2025-09-07T08:52:52.7110754Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 4, 5, linux.aws.a100) 2025-09-07T08:52:52.7111271Z BRANCH: main 2025-09-07T08:52:52.7111522Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:52:52.7111910Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:52:52.7112293Z TEST_CONFIG: inductor_huggingface_perf 2025-09-07T08:52:52.7112615Z SHARD_NUMBER: 4 2025-09-07T08:52:52.7112841Z NUM_TEST_SHARDS: 5 2025-09-07T08:52:52.7113092Z REENABLED_ISSUES: 2025-09-07T08:52:52.7113351Z CONTINUE_THROUGH_ERROR: True 2025-09-07T08:52:52.7113641Z VERBOSE_TEST_LOGS: False 2025-09-07T08:52:52.7113906Z TEST_SHOWLOCALS: False 2025-09-07T08:52:52.7114181Z NO_TEST_TIMEOUT: False 2025-09-07T08:52:52.7114432Z NO_TD: False 2025-09-07T08:52:52.7114648Z TD_DISTRIBUTED: False 2025-09-07T08:52:52.7114960Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T08:52:52.7115317Z SCCACHE_REGION: us-east-1 2025-09-07T08:52:52.7115577Z SHM_SIZE: 2g 2025-09-07T08:52:52.7116482Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:52:52.7117459Z XLA_CUDA: 2025-09-07T08:52:52.7117816Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:52:52.7118292Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T08:52:52.7118618Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T08:52:52.7119913Z 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 2025-09-07T08:52:52.7121433Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T08:52:52.7121845Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T08:52:52.7122263Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T08:52:52.7122757Z ARTIFACTS_FILE_SUFFIX: test-inductor_huggingface_perf-4-5-linux.aws.a100_49775768414 2025-09-07T08:52:52.7123409Z ##[endgroup] 2025-09-07T08:52:52.7636340Z + [[ inductor_huggingface_perf == \m\u\l\t\i\g\p\u ]] 2025-09-07T08:52:52.7636772Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *onnx* ]] 2025-09-07T08:52:52.7637149Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T08:52:52.7639672Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T08:52:52.7648541Z + TOTAL_AVAILABLE_MEMORY_IN_GB='1120.797 ' 2025-09-07T08:52:52.7648897Z + TOTAL_MEMORY_WITH_SWAP=1123 2025-09-07T08:52:52.7649264Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *\s\3\9\0\x* ]] 2025-09-07T08:52:52.7649655Z + SHM_OPTS=--shm-size=2g 2025-09-07T08:52:52.7649928Z + JENKINS_USER='--user jenkins' 2025-09-07T08:52:52.7650189Z + DOCKER_SHELL_CMD= 2025-09-07T08:52:52.7657018Z +++ nproc --ignore=2 2025-09-07T08:52:52.7670718Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e SCCACHE_SERVER_PORT=5233 -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/grace/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:11:33.0498353Z + container_name=6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T09:11:33.0500005Z + grep download.pytorch.org /etc/hosts 2025-09-07T09:11:33.0501727Z + docker exec -i 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T09:11:33.0860943Z + echo DOCKER_CONTAINER_ID=6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T09:11:33.0862889Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *\s\3\9\0\x* ]] 2025-09-07T09:11:33.0864946Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T09:11:33.0867613Z + docker exec -t 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T09:11:33.4863364Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T09:11:34.3090052Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.19.1) 2025-09-07T09:11:34.3093337Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (4.15.0) 2025-09-07T09:11:34.3098195Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.13.3) 2025-09-07T09:11:34.3103049Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2.8.8) 2025-09-07T09:11:34.3106088Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.1.6) 2025-09-07T09:11:34.3111050Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2025.3.0) 2025-09-07T09:11:34.3124666Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.3.0) 2025-09-07T09:11:34.3483965Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.22.4) 2025-09-07T09:11:34.3503268Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.3.0) 2025-09-07T09:11:34.3538958Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.0.2) 2025-09-07T09:11:35.2552556Z Installing collected packages: torch 2025-09-07T09:11:47.7827716Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. 2025-09-07T09:11:48.5370819Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T09:11:48.5371622Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T09:11:48.5372482Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-09-07T09:11:48.5373356Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T09:11:48.5374215Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T09:11:48.5375185Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T09:11:48.5376444Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T09:11:49.6921213Z + export TERM=vt100 2025-09-07T09:11:49.6921651Z + TERM=vt100 2025-09-07T09:11:49.6924503Z ++ dirname .ci/pytorch/test.sh 2025-09-07T09:11:49.6934721Z + source .ci/pytorch/common.sh 2025-09-07T09:11:49.6939305Z +++ dirname .ci/pytorch/common.sh 2025-09-07T09:11:49.6947641Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T09:11:49.6949074Z +++ declare -f -t trap_add 2025-09-07T09:11:49.6953742Z ++ set -ex -o pipefail 2025-09-07T09:11:49.6954293Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *rocm* ]] 2025-09-07T09:11:49.6954865Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T09:11:49.6958253Z ++ dirname .ci/pytorch/test.sh 2025-09-07T09:11:49.6966955Z + source .ci/pytorch/common-build.sh 2025-09-07T09:11:49.6968474Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *win-* ]] 2025-09-07T09:11:49.6977004Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T09:11:49.6985681Z +++ cd .ci/pytorch 2025-09-07T09:11:49.6986376Z +++ pwd -P 2025-09-07T09:11:49.6988862Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T09:11:49.7003320Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *-pch* ]] 2025-09-07T09:11:49.7003756Z ++ which sccache 2025-09-07T09:11:49.7004155Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T09:11:49.7004631Z ++ sccache --stop-server 2025-09-07T09:11:49.7033182Z ++ true 2025-09-07T09:11:49.7033498Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T09:11:49.7044007Z ++ trap_add sccache_epilogue EXIT 2025-09-07T09:11:49.7044451Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T09:11:49.7044839Z ++ shift 2025-09-07T09:11:49.7045140Z ++ for trap_add_name in "$@" 2025-09-07T09:11:49.7052693Z ++++ trap -p EXIT 2025-09-07T09:11:49.7055222Z +++ eval 'extract_trap_cmd ' 2025-09-07T09:11:49.7055686Z ++++ extract_trap_cmd 2025-09-07T09:11:49.7056092Z ++++ printf '%s\n' '' 2025-09-07T09:11:49.7056568Z +++ printf '%s\n' sccache_epilogue 2025-09-07T09:11:49.7058021Z ++ trap -- ' 2025-09-07T09:11:49.7058407Z sccache_epilogue' EXIT 2025-09-07T09:11:49.7058758Z ++ [[ -n 1 ]] 2025-09-07T09:11:49.7059277Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T09:11:49.7060018Z Skipping sccache server initialization, setting environment variables 2025-09-07T09:11:49.7060593Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:11:49.7060969Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:11:49.7061453Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:11:49.7062019Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:11:49.7062603Z ++ export RUST_LOG=sccache::server=error 2025-09-07T09:11:49.7063006Z ++ RUST_LOG=sccache::server=error 2025-09-07T09:11:49.7063546Z ++ sccache --zero-stats 2025-09-07T09:11:50.5483734Z Statistics zeroed. 2025-09-07T09:11:50.5488352Z ++ which ccache 2025-09-07T09:11:50.5503344Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *rocm* ]] 2025-09-07T09:11:50.5504083Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *s390x* ]] 2025-09-07T09:11:50.5504741Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T09:11:50.5507861Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T09:11:50.5519563Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T09:11:50.5520147Z + trap_add cleanup_workspace EXIT 2025-09-07T09:11:50.5520640Z + trap_add_cmd=cleanup_workspace 2025-09-07T09:11:50.5521720Z + shift 2025-09-07T09:11:50.5522139Z + for trap_add_name in "$@" 2025-09-07T09:11:50.5528911Z +++ trap -p EXIT 2025-09-07T09:11:50.5531868Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T09:11:50.5532483Z sccache_epilogue'\'' EXIT' 2025-09-07T09:11:50.5533088Z +++ extract_trap_cmd trap -- ' 2025-09-07T09:11:50.5533619Z sccache_epilogue' EXIT 2025-09-07T09:11:50.5534058Z +++ printf '%s\n' ' 2025-09-07T09:11:50.5534530Z sccache_epilogue' 2025-09-07T09:11:50.5535051Z ++ printf '%s\n' cleanup_workspace 2025-09-07T09:11:50.5535625Z + trap -- ' 2025-09-07T09:11:50.5535999Z sccache_epilogue 2025-09-07T09:11:50.5536384Z cleanup_workspace' EXIT 2025-09-07T09:11:50.5537310Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T09:12:06.3155073Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T09:12:06.3173871Z + echo 'Environment variables:' 2025-09-07T09:12:06.3174294Z Environment variables: 2025-09-07T09:12:06.3174604Z + env 2025-09-07T09:12:06.3182902Z GITHUB_WORKSPACE=/home/grace/_work/pytorch/pytorch 2025-09-07T09:12:06.3183613Z CONTINUE_THROUGH_ERROR=True 2025-09-07T09:12:06.3184104Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T09:12:06.3188331Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T09:12:06.3188825Z HOSTNAME=6ce40884fac4 2025-09-07T09:12:06.3189598Z GITHUB_PATH=/home/grace/_work/_temp/_runner_file_commands/add_path_967b936c-71d3-4267-8234-f3a3808f20ef 2025-09-07T09:12:06.3190443Z GITHUB_ACTION=__run_2 2025-09-07T09:12:06.3190891Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T09:12:06.3191345Z GITHUB_RUN_NUMBER=5418 2025-09-07T09:12:06.3191803Z TEST_CONFIG=inductor_huggingface_perf 2025-09-07T09:12:06.3192353Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T09:12:06.3192887Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T09:12:06.3193368Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:12:06.3193999Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T09:12:06.3194490Z GITHUB_TRIGGERING_ACTOR=desertfire 2025-09-07T09:12:06.3194990Z GITHUB_REF_TYPE=branch 2025-09-07T09:12:06.3195555Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:12:06.3196062Z XLA_CUDA= 2025-09-07T09:12:06.3196461Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T09:12:06.3197101Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T09:12:06.3197739Z *** 2025-09-07T09:12:06.3198119Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T09:12:06.3198546Z GITHUB_ACTIONS=true 2025-09-07T09:12:06.3198974Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:12:06.3199523Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:12:06.3200144Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:12:06.3200701Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:12:06.3201652Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly.yml@refs/heads/main 2025-09-07T09:12:06.3202535Z UCC_HOME=/usr 2025-09-07T09:12:06.3203228Z VERBOSE_TEST_LOGS=False 2025-09-07T09:12:06.3203631Z GITHUB_REF=refs/heads/main 2025-09-07T09:12:06.3204076Z SHARD_NUMBER=4 2025-09-07T09:12:06.3204485Z GITHUB_REF_PROTECTED=true 2025-09-07T09:12:06.3204937Z HOME=/var/lib/jenkins 2025-09-07T09:12:06.3205325Z SCCACHE_SERVER_PORT=5233 2025-09-07T09:12:06.3205859Z GITHUB_API_URL=https://api.github.com 2025-09-07T09:12:06.3206392Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T09:12:06.3206853Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T09:12:06.3207249Z USE_SYSTEM_NCCL=1 2025-09-07T09:12:06.3207573Z NUM_TEST_SHARDS=5 2025-09-07T09:12:06.3207896Z UCX_HOME=/usr 2025-09-07T09:12:06.3208586Z GITHUB_STATE=/home/grace/_work/_temp/_runner_file_commands/save_state_967b936c-71d3-4267-8234-f3a3808f20ef 2025-09-07T09:12:06.3209409Z JOB_NAME=cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 4, 5, linux.aws.a100) 2025-09-07T09:12:06.3210290Z GITHUB_ENV=/home/grace/_work/_temp/_runner_file_commands/set_env_967b936c-71d3-4267-8234-f3a3808f20ef 2025-09-07T09:12:06.3211044Z GITHUB_EVENT_PATH=/home/grace/_work/_temp/_github_workflow/event.json 2025-09-07T09:12:06.3211576Z GITHUB_EVENT_NAME=schedule 2025-09-07T09:12:06.3213317Z DASHBOARD_TAG=training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T09:12:06.3214675Z GITHUB_RUN_ID=17525309334 2025-09-07T09:12:06.3215038Z INSTALLED_OPENBLAS= 2025-09-07T09:12:06.3215666Z GITHUB_STEP_SUMMARY=/home/grace/_work/_temp/_runner_file_commands/step_summary_967b936c-71d3-4267-8234-f3a3808f20ef 2025-09-07T09:12:06.3216360Z GITHUB_ACTOR=desertfire 2025-09-07T09:12:06.3216656Z PR_NUMBER= 2025-09-07T09:12:06.3216960Z DESIRED_CUDA=12.8.1 2025-09-07T09:12:06.3217377Z GITHUB_RUN_ATTEMPT=1 2025-09-07T09:12:06.3217921Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T09:12:06.3218324Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T09:12:06.3218770Z TERM=vt100 2025-09-07T09:12:06.3219078Z INSTALLED_VISION=yes 2025-09-07T09:12:06.3219405Z BRANCH=main 2025-09-07T09:12:06.3219675Z SCCACHE_REGION=us-east-1 2025-09-07T09:12:06.3220040Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T09:12:06.3220417Z CUDA_PATH=/usr/local/cuda 2025-09-07T09:12:06.3220946Z GITHUB_ACTION_PATH=/home/grace/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T09:12:06.3221502Z GITHUB_SERVER_URL=https://github.com 2025-09-07T09:12:06.3221945Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T09:12:06.3222385Z REENABLED_ISSUES= 2025-09-07T09:12:06.3222696Z DOCS= 2025-09-07T09:12:06.3222939Z SHLVL=1 2025-09-07T09:12:06.3223225Z MAX_JOBS=10 2025-09-07T09:12:06.3223530Z GITHUB_ACTOR_ID=3659962 2025-09-07T09:12:06.3223955Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:12:06.3224393Z GITHUB_REF_NAME=main 2025-09-07T09:12:06.3224861Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T09:12:06.3225381Z GITHUB_JOB=test 2025-09-07T09:12:06.3225799Z NO_TEST_TIMEOUT=False 2025-09-07T09:12:06.3226223Z TD_DISTRIBUTED=False 2025-09-07T09:12:06.3226695Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T09:12:06.3227102Z GITHUB_RETENTION_DAYS=90 2025-09-07T09:12:06.3227457Z OPENSSL_DIR=/opt/openssl 2025-09-07T09:12:06.3227776Z GITHUB_ACTION_REPOSITORY= 2025-09-07T09:12:06.3228662Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T09:12:06.3229577Z GITHUB_BASE_REF= 2025-09-07T09:12:06.3229905Z INSTALLED_ACL= 2025-09-07T09:12:06.3230371Z ARTIFACTS_FILE_SUFFIX=test-inductor_huggingface_perf-4-5-linux.aws.a100_49775768414 2025-09-07T09:12:06.3231036Z CI=true 2025-09-07T09:12:06.3231349Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T09:12:06.3231773Z RUST_LOG=sccache::server=error 2025-09-07T09:12:06.3232100Z JOB_ID=49775768414 2025-09-07T09:12:06.3232421Z GITHUB_HEAD_REF= 2025-09-07T09:12:06.3232753Z GITHUB_ACTION_REF= 2025-09-07T09:12:06.3233137Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T09:12:06.3233541Z TEST_SHOWLOCALS=False 2025-09-07T09:12:06.3233930Z GITHUB_WORKFLOW=inductor-A100-perf-nightly 2025-09-07T09:12:06.3234362Z DEBIAN_FRONTEND=noninteractive 2025-09-07T09:12:06.3235004Z GITHUB_OUTPUT=/home/grace/_work/_temp/_runner_file_commands/set_output_967b936c-71d3-4267-8234-f3a3808f20ef 2025-09-07T09:12:06.3235616Z NO_TD=False 2025-09-07T09:12:06.3235941Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T09:12:06.3236344Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T09:12:06.3236749Z _=/usr/bin/env 2025-09-07T09:12:06.3237117Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T09:12:06.3473350Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-09-07T09:12:06.3474095Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-09-07T09:12:06.3474797Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-09-07T09:12:06.3475488Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-09-07T09:12:06.3476253Z + BUILD_DIR=build 2025-09-07T09:12:06.3476598Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T09:12:06.3476992Z + BUILD_BIN_DIR=build/bin 2025-09-07T09:12:06.3477339Z + SHARD_NUMBER=4 2025-09-07T09:12:06.3477617Z + NUM_TEST_SHARDS=5 2025-09-07T09:12:06.3477964Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:12:06.3478368Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:12:06.3478772Z + export VALGRIND=ON 2025-09-07T09:12:06.3479187Z + VALGRIND=ON 2025-09-07T09:12:06.3479654Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *clang9* ]] 2025-09-07T09:12:06.3480228Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *xpu* ]] 2025-09-07T09:12:06.3480673Z + detect_cuda_arch 2025-09-07T09:12:06.3481195Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *cuda* ]] 2025-09-07T09:12:06.3481658Z + command -v nvidia-smi 2025-09-07T09:12:06.3482010Z /usr/bin/nvidia-smi 2025-09-07T09:12:06.3482738Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-09-07T09:12:06.3483427Z ++ tail -n 1 2025-09-07T09:12:06.3733055Z + TORCH_CUDA_ARCH_LIST=8.0 2025-09-07T09:12:06.3733464Z + export TORCH_CUDA_ARCH_LIST 2025-09-07T09:12:06.3733905Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *s390x* ]] 2025-09-07T09:12:06.3734548Z + [[ 0 == \1 ]] 2025-09-07T09:12:06.3734852Z + [[ True == \1 ]] 2025-09-07T09:12:06.3735255Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *bazel* ]] 2025-09-07T09:12:06.3737118Z ++ realpath build/custom_test_artifacts 2025-09-07T09:12:06.3745733Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T09:12:06.3746295Z + [[ -n '' ]] 2025-09-07T09:12:06.3761241Z + echo 'Environment variables' 2025-09-07T09:12:06.3761662Z Environment variables 2025-09-07T09:12:06.3761994Z + env 2025-09-07T09:12:06.3762414Z GITHUB_WORKSPACE=/home/grace/_work/pytorch/pytorch 2025-09-07T09:12:06.3763032Z CONTINUE_THROUGH_ERROR=True 2025-09-07T09:12:06.3763484Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T09:12:06.3764195Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T09:12:06.3764569Z HOSTNAME=6ce40884fac4 2025-09-07T09:12:06.3765130Z GITHUB_PATH=/home/grace/_work/_temp/_runner_file_commands/add_path_967b936c-71d3-4267-8234-f3a3808f20ef 2025-09-07T09:12:06.3765778Z GITHUB_ACTION=__run_2 2025-09-07T09:12:06.3766124Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T09:12:06.3766519Z GITHUB_RUN_NUMBER=5418 2025-09-07T09:12:06.3766839Z TEST_CONFIG=inductor_huggingface_perf 2025-09-07T09:12:06.3767256Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T09:12:06.3767670Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T09:12:06.3768068Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:12:06.3768534Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T09:12:06.3768839Z GITHUB_TRIGGERING_ACTOR=desertfire 2025-09-07T09:12:06.3769156Z GITHUB_REF_TYPE=branch 2025-09-07T09:12:06.3769468Z TORCH_CUDA_ARCH_LIST=8.0 2025-09-07T09:12:06.3769827Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:12:06.3770202Z XLA_CUDA= 2025-09-07T09:12:06.3770508Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T09:12:06.3770994Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T09:12:06.3771610Z *** 2025-09-07T09:12:06.3771868Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T09:12:06.3772174Z GITHUB_ACTIONS=true 2025-09-07T09:12:06.3772480Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:12:06.3772838Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:12:06.3773308Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:12:06.3773756Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:12:06.3774446Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly.yml@refs/heads/main 2025-09-07T09:12:06.3775044Z UCC_HOME=/usr 2025-09-07T09:12:06.3775310Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:12:06.3775665Z VERBOSE_TEST_LOGS=False 2025-09-07T09:12:06.3775996Z GITHUB_REF=refs/heads/main 2025-09-07T09:12:06.3776290Z SHARD_NUMBER=4 2025-09-07T09:12:06.3776609Z GITHUB_REF_PROTECTED=true 2025-09-07T09:12:06.3776961Z HOME=/var/lib/jenkins 2025-09-07T09:12:06.3777396Z SCCACHE_SERVER_PORT=5233 2025-09-07T09:12:06.3783263Z GITHUB_API_URL=https://api.github.com 2025-09-07T09:12:06.3783688Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T09:12:06.3784125Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T09:12:06.3784559Z USE_SYSTEM_NCCL=1 2025-09-07T09:12:06.3784807Z NUM_TEST_SHARDS=5 2025-09-07T09:12:06.3785116Z UCX_HOME=/usr 2025-09-07T09:12:06.3785687Z GITHUB_STATE=/home/grace/_work/_temp/_runner_file_commands/save_state_967b936c-71d3-4267-8234-f3a3808f20ef 2025-09-07T09:12:06.3786533Z JOB_NAME=cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 4, 5, linux.aws.a100) 2025-09-07T09:12:06.3787314Z GITHUB_ENV=/home/grace/_work/_temp/_runner_file_commands/set_env_967b936c-71d3-4267-8234-f3a3808f20ef 2025-09-07T09:12:06.3788197Z GITHUB_EVENT_PATH=/home/grace/_work/_temp/_github_workflow/event.json 2025-09-07T09:12:06.3788715Z GITHUB_EVENT_NAME=schedule 2025-09-07T09:12:06.3790076Z DASHBOARD_TAG=training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T09:12:06.3791470Z GITHUB_RUN_ID=17525309334 2025-09-07T09:12:06.3791757Z INSTALLED_OPENBLAS= 2025-09-07T09:12:06.3792365Z GITHUB_STEP_SUMMARY=/home/grace/_work/_temp/_runner_file_commands/step_summary_967b936c-71d3-4267-8234-f3a3808f20ef 2025-09-07T09:12:06.3793055Z GITHUB_ACTOR=desertfire 2025-09-07T09:12:06.3793382Z PR_NUMBER= 2025-09-07T09:12:06.3793631Z DESIRED_CUDA=12.8.1 2025-09-07T09:12:06.3793883Z GITHUB_RUN_ATTEMPT=1 2025-09-07T09:12:06.3794205Z VALGRIND=ON 2025-09-07T09:12:06.3794525Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T09:12:06.3794915Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T09:12:06.3795335Z TERM=vt100 2025-09-07T09:12:06.3795627Z INSTALLED_VISION=yes 2025-09-07T09:12:06.3795946Z BRANCH=main 2025-09-07T09:12:06.3796223Z SCCACHE_REGION=us-east-1 2025-09-07T09:12:06.3796589Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T09:12:06.3796978Z CUDA_PATH=/usr/local/cuda 2025-09-07T09:12:06.3797510Z GITHUB_ACTION_PATH=/home/grace/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T09:12:06.3798041Z GITHUB_SERVER_URL=https://github.com 2025-09-07T09:12:06.3798485Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T09:12:06.3798916Z REENABLED_ISSUES= 2025-09-07T09:12:06.3799188Z DOCS= 2025-09-07T09:12:06.3799421Z SHLVL=1 2025-09-07T09:12:06.3799687Z MAX_JOBS=10 2025-09-07T09:12:06.3799970Z GITHUB_ACTOR_ID=3659962 2025-09-07T09:12:06.3800398Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:12:06.3800829Z GITHUB_REF_NAME=main 2025-09-07T09:12:06.3801324Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T09:12:06.3801854Z GITHUB_JOB=test 2025-09-07T09:12:06.3802164Z NO_TEST_TIMEOUT=False 2025-09-07T09:12:06.3802460Z TD_DISTRIBUTED=False 2025-09-07T09:12:06.3802812Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T09:12:06.3803375Z GITHUB_RETENTION_DAYS=90 2025-09-07T09:12:06.3803687Z OPENSSL_DIR=/opt/openssl 2025-09-07T09:12:06.3804011Z GITHUB_ACTION_REPOSITORY= 2025-09-07T09:12:06.3804890Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T09:12:06.3805800Z GITHUB_BASE_REF= 2025-09-07T09:12:06.3806117Z INSTALLED_ACL= 2025-09-07T09:12:06.3806618Z ARTIFACTS_FILE_SUFFIX=test-inductor_huggingface_perf-4-5-linux.aws.a100_49775768414 2025-09-07T09:12:06.3807148Z CI=true 2025-09-07T09:12:06.3807451Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T09:12:06.3807858Z RUST_LOG=sccache::server=error 2025-09-07T09:12:06.3808221Z JOB_ID=49775768414 2025-09-07T09:12:06.3808498Z GITHUB_HEAD_REF= 2025-09-07T09:12:06.3808821Z GITHUB_ACTION_REF= 2025-09-07T09:12:06.3809195Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T09:12:06.3809625Z TEST_SHOWLOCALS=False 2025-09-07T09:12:06.3809889Z GITHUB_WORKFLOW=inductor-A100-perf-nightly 2025-09-07T09:12:06.3810313Z DEBIAN_FRONTEND=noninteractive 2025-09-07T09:12:06.3811158Z GITHUB_OUTPUT=/home/grace/_work/_temp/_runner_file_commands/set_output_967b936c-71d3-4267-8234-f3a3808f20ef 2025-09-07T09:12:06.3811809Z NO_TD=False 2025-09-07T09:12:06.3812092Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T09:12:06.3812491Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T09:12:06.3812898Z _=/usr/bin/env 2025-09-07T09:12:06.3813215Z + echo 'Testing pytorch' 2025-09-07T09:12:06.3813526Z Testing pytorch 2025-09-07T09:12:06.3813855Z + export LANG=C.UTF-8 2025-09-07T09:12:06.3814187Z + LANG=C.UTF-8 2025-09-07T09:12:06.3814455Z + PR_NUMBER= 2025-09-07T09:12:06.3814810Z + [[ inductor_huggingface_perf == \d\e\f\a\u\l\t ]] 2025-09-07T09:12:06.3815536Z + [[ inductor_huggingface_perf == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T09:12:06.3816039Z + [[ inductor_huggingface_perf == \s\l\o\w ]] 2025-09-07T09:12:06.3816565Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *slow-gradcheck* ]] 2025-09-07T09:12:06.3817091Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *cuda* ]] 2025-09-07T09:12:06.3817680Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T09:12:06.3818127Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T09:12:06.3818561Z + [[ inductor_huggingface_perf == *crossref* ]] 2025-09-07T09:12:06.3819002Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *rocm* ]] 2025-09-07T09:12:06.3819502Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *xpu* ]] 2025-09-07T09:12:06.3820016Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *-bazel-* ]] 2025-09-07T09:12:06.3820485Z + pip_install ninja==1.10.2 2025-09-07T09:12:06.3820905Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T09:12:06.3821463Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T09:12:06.8005748Z Collecting ninja==1.10.2 2025-09-07T09:12:06.8167253Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T09:12:07.3437325Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T09:12:08.2883065Z Installing collected packages: ninja 2025-09-07T09:12:08.2883617Z Attempting uninstall: ninja 2025-09-07T09:12:08.2893219Z Found existing installation: ninja 1.11.1.3 2025-09-07T09:12:08.2912978Z Uninstalling ninja-1.11.1.3: 2025-09-07T09:12:08.5635817Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T09:12:08.9041022Z Successfully installed ninja-1.10.2 2025-09-07T09:12:09.0276328Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T09:12:09.0278254Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T09:12:09.0279373Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *aarch64* ]] 2025-09-07T09:12:09.0279862Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *asan* ]] 2025-09-07T09:12:09.0280412Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *-debug* ]] 2025-09-07T09:12:09.0280936Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *-bazel-* ]] 2025-09-07T09:12:09.0281631Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm80. Expect the assertion to pass' 2025-09-07T09:12:09.0282437Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm80. Expect the assertion to pass 2025-09-07T09:12:09.0283355Z + cd test 2025-09-07T09:12:09.0283801Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T09:12:09.6245398Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:12:09.6246972Z import pynvml # type: ignore[import] 2025-09-07T09:12:10.8314773Z + [[ inductor_huggingface_perf == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T09:12:10.8315942Z + [[ inductor_huggingface_perf == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T09:12:10.8316557Z + [[ inductor_huggingface_perf == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T09:12:10.8318649Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T09:12:10.8319894Z + [[ inductor_huggingface_perf == *pr_time_benchmarks* ]] 2025-09-07T09:12:10.8320409Z + [[ inductor_huggingface_perf == *dynamo_eager* ]] 2025-09-07T09:12:10.8320957Z + [[ inductor_huggingface_perf == *aot_eager* ]] 2025-09-07T09:12:10.8321458Z + [[ inductor_huggingface_perf == *aot_inductor* ]] 2025-09-07T09:12:10.8321975Z + [[ inductor_huggingface_perf == *max_autotune_inductor* ]] 2025-09-07T09:12:10.8322757Z + [[ inductor_huggingface_perf == *inductor* ]] 2025-09-07T09:12:10.8323502Z + [[ inductor_huggingface_perf != *perf* ]] 2025-09-07T09:12:10.8323998Z + [[ inductor_huggingface_perf == *dynamic* ]] 2025-09-07T09:12:10.8324395Z + [[ inductor_huggingface_perf == *cpu* ]] 2025-09-07T09:12:10.8324903Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-09-07T09:12:10.8342754Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *libtorch* ]] 2025-09-07T09:12:10.8343313Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *-bazel-* ]] 2025-09-07T09:12:10.8345932Z + cd test 2025-09-07T09:12:10.8346641Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T09:12:11.4295908Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:12:11.4298769Z import pynvml # type: ignore[import] 2025-09-07T09:12:13.7969085Z PyTorch built with: 2025-09-07T09:12:13.7969454Z - GCC 9.5 2025-09-07T09:12:13.7969770Z - C++ Version: 201703 2025-09-07T09:12:13.7970448Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T09:12:13.7971300Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T09:12:13.7971810Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T09:12:13.7972255Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T09:12:13.7972690Z - NNPACK is enabled 2025-09-07T09:12:13.7973050Z - CPU capability usage: AVX512 2025-09-07T09:12:13.7973383Z - CUDA Runtime 12.8 2025-09-07T09:12:13.7973834Z - NVCC architecture flags: -gencode;arch=compute_80,code=sm_80 2025-09-07T09:12:13.7974324Z - CuDNN 90.8 2025-09-07T09:12:13.7979255Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=93fb23d6fae7c4e82c4239a1033e522088742634, CUDA_VERSION=12.8, CUDNN_VERSION=9.8.0, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=ON, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-09-07T09:12:13.7984379Z 2025-09-07T09:12:14.6381176Z + cd test 2025-09-07T09:12:14.6382196Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T09:12:15.2444766Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:12:15.2446638Z import pynvml # type: ignore[import] 2025-09-07T09:12:16.1487036Z ATen/Parallel: 2025-09-07T09:12:16.1487452Z at::get_num_threads() : 12 2025-09-07T09:12:16.1487813Z at::get_num_interop_threads() : 48 2025-09-07T09:12:16.1488218Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T09:12:16.1488622Z omp_get_max_threads() : 12 2025-09-07T09:12:16.1489304Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T09:12:16.1490348Z mkl_get_max_threads() : 12 2025-09-07T09:12:16.1490842Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T09:12:16.1491390Z std::thread::hardware_concurrency() : 96 2025-09-07T09:12:16.1491809Z Environment variables: 2025-09-07T09:12:16.1492164Z OMP_NUM_THREADS : [not set] 2025-09-07T09:12:16.1492489Z MKL_NUM_THREADS : [not set] 2025-09-07T09:12:16.1492824Z ATen parallel backend: OpenMP 2025-09-07T09:12:16.1493011Z 2025-09-07T09:12:16.4868297Z + [[ inductor_huggingface_perf == *numpy_2* ]] 2025-09-07T09:12:16.4868865Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *aarch64* ]] 2025-09-07T09:12:16.4869358Z + [[ inductor_huggingface_perf == *backward* ]] 2025-09-07T09:12:16.4869809Z + [[ inductor_huggingface_perf == *xla* ]] 2025-09-07T09:12:16.4870196Z + [[ inductor_huggingface_perf == *vllm* ]] 2025-09-07T09:12:16.4870642Z + [[ inductor_huggingface_perf == *executorch* ]] 2025-09-07T09:12:16.4871129Z + [[ inductor_huggingface_perf == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T09:12:16.4871684Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *libtorch* ]] 2025-09-07T09:12:16.4872149Z + [[ inductor_huggingface_perf == distributed ]] 2025-09-07T09:12:16.4872650Z + [[ inductor_huggingface_perf == *operator_benchmark* ]] 2025-09-07T09:12:16.4873167Z + [[ inductor_huggingface_perf == *inductor_distributed* ]] 2025-09-07T09:12:16.4873680Z + [[ inductor_huggingface_perf == *inductor-halide* ]] 2025-09-07T09:12:16.4874159Z + [[ inductor_huggingface_perf == *inductor-triton-cpu* ]] 2025-09-07T09:12:16.4874684Z + [[ inductor_huggingface_perf == *inductor-micro-benchmark* ]] 2025-09-07T09:12:16.4875204Z + [[ inductor_huggingface_perf == *huggingface* ]] 2025-09-07T09:12:16.4875642Z + install_torchvision 2025-09-07T09:12:16.4875990Z + local orig_preload 2025-09-07T09:12:16.4876286Z + local commit 2025-09-07T09:12:16.4876607Z ++ get_pinned_commit vision 2025-09-07T09:12:16.4876992Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T09:12:16.4886043Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T09:12:16.4886504Z + orig_preload= 2025-09-07T09:12:16.4886839Z + '[' -n '' ']' 2025-09-07T09:12:16.4887238Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *cuda* ]] 2025-09-07T09:12:16.4887719Z + export FORCE_CUDA=1 2025-09-07T09:12:16.4888019Z + FORCE_CUDA=1 2025-09-07T09:12:16.4888337Z + export WITH_CUDA=1 2025-09-07T09:12:16.4888638Z + WITH_CUDA=1 2025-09-07T09:12:16.4889253Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T09:12:16.4890151Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T09:12:16.4890735Z + local wheel_dir=dist/vision 2025-09-07T09:12:16.4891057Z + local found_whl=0 2025-09-07T09:12:16.4891396Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:12:16.4891866Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T09:12:16.4892376Z + found_whl=1 2025-09-07T09:12:16.4892651Z + break 2025-09-07T09:12:16.4892941Z + '[' 1 == 0 ']' 2025-09-07T09:12:16.4893216Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:12:16.4893805Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:12:16.4894570Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl') 2025-09-07T09:12:16.4895396Z + local args 2025-09-07T09:12:16.4895889Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T09:12:16.4896434Z + for path in "${args[@]}" 2025-09-07T09:12:16.4897001Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl' 2025-09-07T09:12:16.4897857Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:12:16.4898746Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:12:16.8470055Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:12:16.8596862Z Installing collected packages: torchvision 2025-09-07T09:12:17.9810776Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T09:12:18.0297331Z + '[' -n '' ']' 2025-09-07T09:12:18.0297955Z + id=3 2025-09-07T09:12:18.0298472Z + test_dynamo_benchmark huggingface 3 2025-09-07T09:12:18.0300667Z ++ pwd 2025-09-07T09:12:18.0303347Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:12:18.0304185Z + local suite=huggingface 2025-09-07T09:12:18.0304755Z + shift 2025-09-07T09:12:18.0305224Z + local shard_id=3 2025-09-07T09:12:18.0305729Z + shift 2025-09-07T09:12:18.0306255Z + [[ inductor_huggingface_perf == *perf_compare* ]] 2025-09-07T09:12:18.0307065Z + [[ inductor_huggingface_perf == *perf* ]] 2025-09-07T09:12:18.0307802Z + [[ inductor_huggingface_perf == *b200* ]] 2025-09-07T09:12:18.0308625Z + test_single_dynamo_benchmark dashboard huggingface 3 2025-09-07T09:12:18.0309364Z ++ pwd 2025-09-07T09:12:18.0310064Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:12:18.0311050Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:12:18.0325526Z + local name=dashboard 2025-09-07T09:12:18.0326094Z + shift 2025-09-07T09:12:18.0326590Z + local suite=huggingface 2025-09-07T09:12:18.0327162Z + shift 2025-09-07T09:12:18.0327577Z + local shard_id=3 2025-09-07T09:12:18.0328092Z + shift 2025-09-07T09:12:18.0328569Z + partition_flags=() 2025-09-07T09:12:18.0329133Z + local partition_flags 2025-09-07T09:12:18.0329698Z + [[ -n 5 ]] 2025-09-07T09:12:18.0330136Z + [[ -n 3 ]] 2025-09-07T09:12:18.0330974Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T09:12:18.0332105Z + [[ inductor_huggingface_perf == *perf_compare* ]] 2025-09-07T09:12:18.0332922Z + [[ inductor_huggingface_perf == *perf* ]] 2025-09-07T09:12:18.0333969Z + test_perf_for_dashboard huggingface --device cuda --total-partitions 5 --partition-id 3 2025-09-07T09:12:18.0335024Z ++ pwd 2025-09-07T09:12:18.0335695Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:12:18.0336628Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:12:18.0344879Z + local suite=huggingface 2025-09-07T09:12:18.0345407Z + shift 2025-09-07T09:12:18.0345899Z + local backend=inductor 2025-09-07T09:12:18.0346473Z + modes=() 2025-09-07T09:12:18.0346943Z + local modes 2025-09-07T09:12:18.0349246Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *training-true* ]] 2025-09-07T09:12:18.0351962Z + modes+=(training) 2025-09-07T09:12:18.0354515Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *inference-true* ]] 2025-09-07T09:12:18.0357228Z + modes+=(inference) 2025-09-07T09:12:18.0357810Z + targets=('accuracy' 'performance') 2025-09-07T09:12:18.0358420Z + local targets 2025-09-07T09:12:18.0358942Z + local device=cuda 2025-09-07T09:12:18.0359507Z + [[ inductor_huggingface_perf == *cpu* ]] 2025-09-07T09:12:18.0360272Z + [[ inductor_huggingface_perf == *cuda_a10g* ]] 2025-09-07T09:12:18.0360989Z + [[ inductor_huggingface_perf == *h100* ]] 2025-09-07T09:12:18.0362184Z + [[ inductor_huggingface_perf == *b200* ]] 2025-09-07T09:12:18.0363245Z + [[ inductor_huggingface_perf == *rocm* ]] 2025-09-07T09:12:18.0363960Z + for mode in "${modes[@]}" 2025-09-07T09:12:18.0364531Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:12:18.0365206Z + [[ training == \t\r\a\i\n\i\n\g ]] 2025-09-07T09:12:18.0365846Z + dtype=amp 2025-09-07T09:12:18.0366361Z + for target in "${targets[@]}" 2025-09-07T09:12:18.0366987Z + target_flag=('--accuracy') 2025-09-07T09:12:18.0367519Z + local target_flag 2025-09-07T09:12:18.0368084Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T09:12:18.0368762Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T09:12:18.0369769Z + target_flag+=(--no-translation-validation) 2025-09-07T09:12:18.0372477Z + [[ 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* ]] 2025-09-07T09:12:18.0377062Z + [[ 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* ]] 2025-09-07T09:12:18.0382246Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 3 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_accuracy.csv 2025-09-07T09:12:19.1168239Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:12:19.1169737Z import pynvml # type: ignore[import] 2025-09-07T09:12:22.6753234Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:12:22.6754868Z from pkg_resources import resource_filename 2025-09-07T09:12:23.1391167Z 2025-09-07T09:12:23.1392266Z config.json: 0% 0.00/694 [00:00 will be ignored 2025-09-07T09:16:21.6437044Z pass 2025-09-07T09:16:26.8783843Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:16:26.8787090Z import pynvml # type: ignore[import] 2025-09-07T09:16:30.2832404Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:16:30.2835307Z from pkg_resources import resource_filename 2025-09-07T09:16:30.8938696Z 2025-09-07T09:16:30.9109265Z loading model: 0it [00:00, ?it/s]If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:16:30.9111273Z WARNING:transformers.models.megatron_bert.modeling_megatron_bert:If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:16:36.2959260Z 2025-09-07T09:16:36.2959744Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:16:36.2960251Z cuda train MegatronBertForCausalLM 2025-09-07T09:17:35.0951160Z W0907 09:17:35.094000 2556 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:18:51.1722323Z pass 2025-09-07T09:18:58.7652411Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:18:58.7653911Z import pynvml # type: ignore[import] 2025-09-07T09:19:02.2235631Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:19:02.2237365Z from pkg_resources import resource_filename 2025-09-07T09:19:02.8908921Z 2025-09-07T09:19:08.0748630Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:19:08.0749105Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:19:08.0749540Z cuda train MegatronBertForQuestionAnswering 2025-09-07T09:20:08.3912227Z W0907 09:20:08.388000 3383 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:21:21.2472616Z pass 2025-09-07T09:21:29.1911385Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:21:29.1914006Z import pynvml # type: ignore[import] 2025-09-07T09:21:32.6212530Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:21:32.6215501Z from pkg_resources import resource_filename 2025-09-07T09:21:33.2420013Z 2025-09-07T09:21:35.4872287Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:21:35.4872691Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:21:35.4873029Z cuda train MobileBertForMaskedLM 2025-09-07T09:23:22.6995055Z pass 2025-09-07T09:23:29.6852412Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:23:29.6856078Z import pynvml # type: ignore[import] 2025-09-07T09:23:33.4406199Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:23:33.4407836Z from pkg_resources import resource_filename 2025-09-07T09:23:34.0707134Z 2025-09-07T09:23:35.6963193Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:23:35.6963595Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:23:35.6964389Z cuda train MobileBertForQuestionAnswering 2025-09-07T09:25:23.1870987Z pass 2025-09-07T09:25:30.1217784Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:25:30.1220436Z import pynvml # type: ignore[import] 2025-09-07T09:25:33.9295330Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:25:33.9296907Z from pkg_resources import resource_filename 2025-09-07T09:25:34.6090450Z 2025-09-07T09:25:37.2214956Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:25:37.2215355Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:25:37.2215686Z cuda train OPTForCausalLM 2025-09-07T09:25:48.7359217Z pass 2025-09-07T09:25:51.4904611Z accuracy pass_rate=100.00% 2025-09-07T09:25:51.4911940Z calls_captured gmean=645.68x mean=1306.444x 2025-09-07T09:25:51.4916418Z unique_graphs gmean=2.46x mean=3.556x 2025-09-07T09:25:51.4921036Z graph_breaks gmean=4.93x mean=5.222x 2025-09-07T09:25:51.4925521Z unique_graph_breaks gmean=4.04x mean=4.111x 2025-09-07T09:25:51.4929876Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:25:51.4934088Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:25:51.4938614Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:25:51.4940072Z compilation_latency mean=72.162 seconds 2025-09-07T09:25:52.7592623Z + [[ 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* ]] 2025-09-07T09:25:52.7595178Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 5 --partition-id 3 --output /var/lib/jenkins/workspace/test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_accuracy.csv 2025-09-07T09:25:53.9141980Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:25:53.9144113Z import pynvml # type: ignore[import] 2025-09-07T09:25:57.4636810Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:25:57.4638365Z from pkg_resources import resource_filename 2025-09-07T09:25:59.6360427Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:25:59.6362333Z import pynvml # type: ignore[import] 2025-09-07T09:26:03.0188643Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:26:03.0190197Z from pkg_resources import resource_filename 2025-09-07T09:26:03.6192246Z 2025-09-07T09:26:15.0113097Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:26:15.0113989Z loading model: 0it [00:11, ?it/s] 2025-09-07T09:26:15.0114347Z cuda train M2M100ForConditionalGeneration 2025-09-07T09:27:15.9250628Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T09:27:15.9251895Z pred = mod(**cloned_inputs) 2025-09-07T09:27:15.9252610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 1404, in forward 2025-09-07T09:27:15.9253327Z outputs = self.model( 2025-09-07T09:27:15.9253977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 1279, in forward 2025-09-07T09:27:15.9254698Z decoder_outputs = self.decoder( 2025-09-07T09:27:15.9255404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 1044, in forward 2025-09-07T09:27:15.9256145Z inputs_embeds = self.embed_tokens(input_ids) 2025-09-07T09:27:15.9256873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 96, in forward 2025-09-07T09:27:15.9257704Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:27:15.9257988Z 2025-09-07T09:27:15.9257993Z 2025-09-07T09:27:16.7898890Z pass 2025-09-07T09:27:22.8826246Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:27:22.8827708Z import pynvml # type: ignore[import] 2025-09-07T09:27:26.3980377Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:27:26.3981942Z from pkg_resources import resource_filename 2025-09-07T09:27:27.0181445Z 2025-09-07T09:27:31.5859489Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:27:31.5859880Z loading model: 0it [00:04, ?it/s] 2025-09-07T09:27:31.5860217Z cuda train MBartForCausalLM 2025-09-07T09:27:41.0601048Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mbart/modeling_mbart.py", line 107, in forward 2025-09-07T09:27:41.0603728Z return super().forward(position_ids + self.offset) 2025-09-07T09:27:41.0604218Z 2025-09-07T09:27:41.0604227Z 2025-09-07T09:27:41.2501172Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mbart/modeling_mbart.py", line 121, in forward 2025-09-07T09:27:41.2503688Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:27:41.2504167Z 2025-09-07T09:27:42.0543118Z 2025-09-07T09:27:42.0543882Z pass 2025-09-07T09:27:45.8072683Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:27:45.8075284Z import pynvml # type: ignore[import] 2025-09-07T09:27:49.5561783Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:27:49.5565242Z from pkg_resources import resource_filename 2025-09-07T09:27:50.2649511Z 2025-09-07T09:27:57.9498705Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:27:57.9499080Z loading model: 0it [00:07, ?it/s] 2025-09-07T09:27:57.9499424Z cuda train MBartForConditionalGeneration 2025-09-07T09:28:04.4271377Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mbart/modeling_mbart.py", line 121, in forward 2025-09-07T09:28:04.4273692Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:28:04.4274192Z 2025-09-07T09:28:04.4274215Z 2025-09-07T09:28:07.2202710Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mbart/modeling_mbart.py", line 107, in forward 2025-09-07T09:28:07.2204250Z return super().forward(position_ids + self.offset) 2025-09-07T09:28:07.2204525Z 2025-09-07T09:28:07.2204530Z 2025-09-07T09:28:12.5521748Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mbart/modeling_mbart.py", line 107, in forward 2025-09-07T09:28:12.5524467Z return super().forward(position_ids + self.offset) 2025-09-07T09:28:12.5524979Z 2025-09-07T09:28:12.5524988Z 2025-09-07T09:28:16.1436132Z pass 2025-09-07T09:28:20.2012047Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:28:20.2013451Z import pynvml # type: ignore[import] 2025-09-07T09:28:23.8347505Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:28:23.8349095Z from pkg_resources import resource_filename 2025-09-07T09:28:24.4476335Z 2025-09-07T09:28:29.3666321Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:28:29.3666692Z loading model: 0it [00:04, ?it/s] 2025-09-07T09:28:29.3667047Z cuda train MT5ForConditionalGeneration 2025-09-07T09:29:18.6375412Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T09:29:18.6376695Z pred = mod(**cloned_inputs) 2025-09-07T09:29:18.6377485Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 1787, in forward 2025-09-07T09:29:18.6378193Z decoder_outputs = self.decoder( 2025-09-07T09:29:18.6378872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 1079, in forward 2025-09-07T09:29:18.6379979Z layer_outputs = layer_module( 2025-09-07T09:29:18.6380598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:29:18.6381256Z return super().__call__(*args, **kwargs) 2025-09-07T09:29:18.6381945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 559, in forward 2025-09-07T09:29:18.6382628Z self_attention_outputs = self.layer[0]( 2025-09-07T09:29:18.6383318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 475, in forward 2025-09-07T09:29:18.6384016Z attention_output = self.SelfAttention( 2025-09-07T09:29:18.6384881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 414, in forward 2025-09-07T09:29:18.6385575Z position_bias = self.compute_bias( 2025-09-07T09:29:18.6386260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 338, in compute_bias 2025-09-07T09:29:18.6387244Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T09:29:18.6387755Z 2025-09-07T09:29:18.6387760Z 2025-09-07T09:29:18.9328986Z W0907 09:29:18.931000 6135 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:29:52.2285897Z pass 2025-09-07T09:29:57.7721092Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:29:57.7724125Z import pynvml # type: ignore[import] 2025-09-07T09:30:01.2275184Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:30:01.2278041Z from pkg_resources import resource_filename 2025-09-07T09:30:01.8427318Z 2025-09-07T09:30:01.8598944Z loading model: 0it [00:00, ?it/s]If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:30:01.8600935Z WARNING:transformers.models.megatron_bert.modeling_megatron_bert:If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:30:07.1501357Z 2025-09-07T09:30:07.1501826Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:30:07.1502249Z cuda train MegatronBertForCausalLM 2025-09-07T09:31:05.8263028Z 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 2025-09-07T09:31:05.8264302Z pred = mod(**cloned_inputs) 2025-09-07T09:31:05.8265068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 1064, in forward 2025-09-07T09:31:05.8265845Z outputs = self.bert( 2025-09-07T09:31:05.8266568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 849, in forward 2025-09-07T09:31:05.8267337Z embedding_output = self.embeddings( 2025-09-07T09:31:05.8268126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 172, in forward 2025-09-07T09:31:05.8268994Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T09:31:05.8269306Z 2025-09-07T09:31:05.8269310Z 2025-09-07T09:31:06.2261534Z W0907 09:31:06.224000 6272 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:32:23.2453183Z pass 2025-09-07T09:32:30.3687453Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:32:30.3688958Z import pynvml # type: ignore[import] 2025-09-07T09:32:33.9016099Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:32:33.9018820Z from pkg_resources import resource_filename 2025-09-07T09:32:34.7144086Z 2025-09-07T09:32:39.6992793Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:32:39.6993219Z loading model: 0it [00:04, ?it/s] 2025-09-07T09:32:39.6993565Z cuda train MegatronBertForQuestionAnswering 2025-09-07T09:33:39.5895049Z 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 2025-09-07T09:33:39.5896326Z pred = mod(**cloned_inputs) 2025-09-07T09:33:39.5897091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 1597, in forward 2025-09-07T09:33:39.5897920Z outputs = self.bert( 2025-09-07T09:33:39.5898679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 849, in forward 2025-09-07T09:33:39.5899455Z embedding_output = self.embeddings( 2025-09-07T09:33:39.5900232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 172, in forward 2025-09-07T09:33:39.5901106Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T09:33:39.5901416Z 2025-09-07T09:33:39.5901421Z 2025-09-07T09:33:40.0015147Z W0907 09:33:39.999000 6409 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:34:59.7650120Z pass 2025-09-07T09:35:06.8995831Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:35:06.8997259Z import pynvml # type: ignore[import] 2025-09-07T09:35:10.6030313Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:35:10.6032043Z from pkg_resources import resource_filename 2025-09-07T09:35:11.2287488Z 2025-09-07T09:35:13.3794428Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:35:13.3794812Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:35:13.3795153Z cuda train MobileBertForMaskedLM 2025-09-07T09:37:01.2595695Z 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 2025-09-07T09:37:01.2597834Z pred = mod(**cloned_inputs) 2025-09-07T09:37:01.2599061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 976, in forward 2025-09-07T09:37:01.2600984Z outputs = self.mobilebert( 2025-09-07T09:37:01.2602175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 791, in forward 2025-09-07T09:37:01.2603810Z embedding_output = self.embeddings( 2025-09-07T09:37:01.2605015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 213, in forward 2025-09-07T09:37:01.2606412Z token_type_embeddings = self.token_type_embeddings(token_type_ids) 2025-09-07T09:37:01.2606966Z 2025-09-07T09:37:01.2606974Z 2025-09-07T09:37:02.6152387Z pass 2025-09-07T09:37:09.5827830Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:37:09.5829263Z import pynvml # type: ignore[import] 2025-09-07T09:37:13.1049093Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:37:13.1050645Z from pkg_resources import resource_filename 2025-09-07T09:37:13.8335549Z 2025-09-07T09:37:15.4203358Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:37:15.4203761Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:37:15.4204121Z cuda train MobileBertForQuestionAnswering 2025-09-07T09:39:01.4326657Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T09:39:01.4327979Z pred = mod(**cloned_inputs) 2025-09-07T09:39:01.4328727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 1242, in forward 2025-09-07T09:39:01.4329506Z outputs = self.mobilebert( 2025-09-07T09:39:01.4330231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 791, in forward 2025-09-07T09:39:01.4330983Z embedding_output = self.embeddings( 2025-09-07T09:39:01.4331731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 213, in forward 2025-09-07T09:39:01.4332597Z token_type_embeddings = self.token_type_embeddings(token_type_ids) 2025-09-07T09:39:01.4332932Z 2025-09-07T09:39:01.4332937Z 2025-09-07T09:39:02.7714615Z pass 2025-09-07T09:39:08.9225622Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:39:08.9227066Z import pynvml # type: ignore[import] 2025-09-07T09:39:12.3773140Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:39:12.3774691Z from pkg_resources import resource_filename 2025-09-07T09:39:13.0049900Z 2025-09-07T09:39:15.7358901Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:39:15.7359317Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:39:15.7359651Z cuda train OPTForCausalLM 2025-09-07T09:39:25.6561120Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/opt/modeling_opt.py", line 76, in forward 2025-09-07T09:39:25.6563029Z return super().forward(position_ids + self.offset) 2025-09-07T09:39:25.6563318Z 2025-09-07T09:39:25.6563323Z 2025-09-07T09:39:26.5741941Z pass 2025-09-07T09:39:29.0742647Z accuracy pass_rate=100.00% 2025-09-07T09:39:29.0750102Z calls_captured gmean=645.68x mean=1306.444x 2025-09-07T09:39:29.0754598Z unique_graphs gmean=2.46x mean=3.556x 2025-09-07T09:39:29.0758543Z graph_breaks gmean=4.93x mean=5.222x 2025-09-07T09:39:29.0762975Z unique_graph_breaks gmean=4.04x mean=4.111x 2025-09-07T09:39:29.0767198Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:39:29.0771875Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:39:29.0775283Z cudagraph_skips gmean=1.22x mean=1.333x 2025-09-07T09:39:29.0776349Z compilation_latency mean=71.832 seconds 2025-09-07T09:39:30.3271328Z + [[ 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* ]] 2025-09-07T09:39:30.3276421Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --dynamic-shapes --dynamic-batch-only --device cuda --total-partitions 5 --partition-id 3 --output /var/lib/jenkins/workspace/test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_accuracy.csv 2025-09-07T09:39:31.4031772Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:39:31.4034360Z import pynvml # type: ignore[import] 2025-09-07T09:39:34.9380841Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:39:34.9383870Z from pkg_resources import resource_filename 2025-09-07T09:39:37.1395024Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:39:37.1396443Z import pynvml # type: ignore[import] 2025-09-07T09:39:40.5685766Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:39:40.5687329Z from pkg_resources import resource_filename 2025-09-07T09:39:41.1759244Z 2025-09-07T09:39:52.7289876Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:39:52.7290276Z loading model: 0it [00:11, ?it/s] 2025-09-07T09:39:52.7290623Z cuda train M2M100ForConditionalGeneration 2025-09-07T09:40:04.9370525Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T09:40:04.9371776Z pred = mod(**cloned_inputs) 2025-09-07T09:40:04.9372503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 1404, in forward 2025-09-07T09:40:04.9373212Z outputs = self.model( 2025-09-07T09:40:04.9373876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 1279, in forward 2025-09-07T09:40:04.9374593Z decoder_outputs = self.decoder( 2025-09-07T09:40:04.9375716Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 1044, in forward 2025-09-07T09:40:04.9376456Z inputs_embeds = self.embed_tokens(input_ids) 2025-09-07T09:40:04.9377271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 96, in forward 2025-09-07T09:40:04.9378029Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:40:04.9378300Z 2025-09-07T09:40:04.9378305Z 2025-09-07T09:40:06.6434520Z pass 2025-09-07T09:40:10.6247869Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:40:10.6249288Z import pynvml # type: ignore[import] 2025-09-07T09:40:14.1264771Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:40:14.1266374Z from pkg_resources import resource_filename 2025-09-07T09:40:14.7540395Z 2025-09-07T09:40:19.3610650Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:40:19.3611040Z loading model: 0it [00:04, ?it/s] 2025-09-07T09:40:19.3611374Z cuda train MBartForCausalLM 2025-09-07T09:40:24.2497564Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mbart/modeling_mbart.py", line 121, in forward 2025-09-07T09:40:24.2498831Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:40:24.2499104Z 2025-09-07T09:40:24.2499126Z 2025-09-07T09:40:24.4581907Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mbart/modeling_mbart.py", line 107, in forward 2025-09-07T09:40:24.4583105Z return super().forward(position_ids + self.offset) 2025-09-07T09:40:24.4583367Z 2025-09-07T09:40:24.4583371Z 2025-09-07T09:40:26.4476369Z pass 2025-09-07T09:40:30.0970530Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:40:30.0973038Z import pynvml # type: ignore[import] 2025-09-07T09:40:33.5230896Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:40:33.5232528Z from pkg_resources import resource_filename 2025-09-07T09:40:34.1650437Z 2025-09-07T09:40:41.9966594Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:40:41.9966991Z loading model: 0it [00:07, ?it/s] 2025-09-07T09:40:41.9967327Z cuda train MBartForConditionalGeneration 2025-09-07T09:40:48.2672980Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mbart/modeling_mbart.py", line 121, in forward 2025-09-07T09:40:48.2675325Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:40:48.2675812Z 2025-09-07T09:40:48.2675835Z 2025-09-07T09:40:48.3333191Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mbart/modeling_mbart.py", line 107, in forward 2025-09-07T09:40:48.3336050Z return super().forward(position_ids + self.offset) 2025-09-07T09:40:48.3336509Z 2025-09-07T09:40:48.3336517Z 2025-09-07T09:40:49.0943789Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mbart/modeling_mbart.py", line 107, in forward 2025-09-07T09:40:49.0946031Z return super().forward(position_ids + self.offset) 2025-09-07T09:40:49.0946526Z 2025-09-07T09:40:49.0946534Z 2025-09-07T09:40:53.9129739Z pass 2025-09-07T09:40:57.6068312Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:40:57.6071027Z import pynvml # type: ignore[import] 2025-09-07T09:41:01.0672450Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:41:01.0675374Z from pkg_resources import resource_filename 2025-09-07T09:41:01.6776780Z 2025-09-07T09:41:06.5947726Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:41:06.5948130Z loading model: 0it [00:04, ?it/s] 2025-09-07T09:41:06.5948517Z cuda train MT5ForConditionalGeneration 2025-09-07T09:41:17.6999610Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T09:41:17.7001937Z pred = mod(**cloned_inputs) 2025-09-07T09:41:17.7003458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 1787, in forward 2025-09-07T09:41:17.7004713Z decoder_outputs = self.decoder( 2025-09-07T09:41:17.7005918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 1079, in forward 2025-09-07T09:41:17.7007122Z layer_outputs = layer_module( 2025-09-07T09:41:17.7008223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:41:17.7009407Z return super().__call__(*args, **kwargs) 2025-09-07T09:41:17.7010666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 559, in forward 2025-09-07T09:41:17.7011955Z self_attention_outputs = self.layer[0]( 2025-09-07T09:41:17.7013174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 475, in forward 2025-09-07T09:41:17.7014448Z attention_output = self.SelfAttention( 2025-09-07T09:41:17.7015674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 414, in forward 2025-09-07T09:41:17.7016917Z position_bias = self.compute_bias( 2025-09-07T09:41:17.7018237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 338, in compute_bias 2025-09-07T09:41:17.7020019Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T09:41:17.7020912Z 2025-09-07T09:41:17.7020920Z 2025-09-07T09:41:18.7686206Z W0907 09:41:18.767000 7249 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:41:26.8535414Z pass 2025-09-07T09:41:30.6786702Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:41:30.6788633Z import pynvml # type: ignore[import] 2025-09-07T09:41:34.1703218Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:41:34.1705197Z from pkg_resources import resource_filename 2025-09-07T09:41:34.7833953Z 2025-09-07T09:41:34.8005922Z loading model: 0it [00:00, ?it/s]If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:41:34.8007006Z WARNING:transformers.models.megatron_bert.modeling_megatron_bert:If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:41:40.0079845Z 2025-09-07T09:41:40.0080290Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:41:40.0080714Z cuda train MegatronBertForCausalLM 2025-09-07T09:41:52.5656708Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T09:41:52.5658138Z pred = mod(**cloned_inputs) 2025-09-07T09:41:52.5658946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 1064, in forward 2025-09-07T09:41:52.5659724Z outputs = self.bert( 2025-09-07T09:41:52.5660454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 849, in forward 2025-09-07T09:41:52.5661238Z embedding_output = self.embeddings( 2025-09-07T09:41:52.5662010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 172, in forward 2025-09-07T09:41:52.5662873Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T09:41:52.5663194Z 2025-09-07T09:41:52.5663198Z 2025-09-07T09:41:54.0294229Z W0907 09:41:54.028000 7357 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:42:10.0027695Z pass 2025-09-07T09:42:14.0074584Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:42:14.0077218Z import pynvml # type: ignore[import] 2025-09-07T09:42:17.4608511Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:42:17.4610213Z from pkg_resources import resource_filename 2025-09-07T09:42:18.1182742Z 2025-09-07T09:42:23.6833316Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:42:23.6833942Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:42:23.6834532Z cuda train MegatronBertForQuestionAnswering 2025-09-07T09:42:36.1040206Z 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 2025-09-07T09:42:36.1042545Z pred = mod(**cloned_inputs) 2025-09-07T09:42:36.1044274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 1597, in forward 2025-09-07T09:42:36.1046210Z outputs = self.bert( 2025-09-07T09:42:36.1047526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 849, in forward 2025-09-07T09:42:36.1048964Z embedding_output = self.embeddings( 2025-09-07T09:42:36.1050348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 172, in forward 2025-09-07T09:42:36.1051947Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T09:42:36.1052515Z 2025-09-07T09:42:36.1052524Z 2025-09-07T09:42:37.4697342Z W0907 09:42:37.468000 7445 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:42:53.9171451Z pass 2025-09-07T09:42:58.2259363Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:42:58.2262162Z import pynvml # type: ignore[import] 2025-09-07T09:43:01.9109037Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:43:01.9112006Z from pkg_resources import resource_filename 2025-09-07T09:43:02.5091096Z 2025-09-07T09:43:04.4464566Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:43:04.4464982Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:43:04.4465331Z cuda train MobileBertForMaskedLM 2025-09-07T09:43:23.9870492Z 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 2025-09-07T09:43:23.9871786Z pred = mod(**cloned_inputs) 2025-09-07T09:43:23.9872533Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 976, in forward 2025-09-07T09:43:23.9873292Z outputs = self.mobilebert( 2025-09-07T09:43:23.9874018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 791, in forward 2025-09-07T09:43:23.9874770Z embedding_output = self.embeddings( 2025-09-07T09:43:23.9875542Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 213, in forward 2025-09-07T09:43:23.9876404Z token_type_embeddings = self.token_type_embeddings(token_type_ids) 2025-09-07T09:43:23.9876732Z 2025-09-07T09:43:23.9876753Z 2025-09-07T09:43:27.3628051Z pass 2025-09-07T09:43:31.2387896Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:43:31.2390497Z import pynvml # type: ignore[import] 2025-09-07T09:43:34.6859853Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:43:34.6862798Z from pkg_resources import resource_filename 2025-09-07T09:43:35.2903860Z 2025-09-07T09:43:37.2733150Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:43:37.2733541Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:43:37.2734374Z cuda train MobileBertForQuestionAnswering 2025-09-07T09:43:56.5081951Z 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 2025-09-07T09:43:56.5084634Z pred = mod(**cloned_inputs) 2025-09-07T09:43:56.5085989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 1242, in forward 2025-09-07T09:43:56.5087380Z outputs = self.mobilebert( 2025-09-07T09:43:56.5089212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 791, in forward 2025-09-07T09:43:56.5090684Z embedding_output = self.embeddings( 2025-09-07T09:43:56.5092096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 213, in forward 2025-09-07T09:43:56.5093716Z token_type_embeddings = self.token_type_embeddings(token_type_ids) 2025-09-07T09:43:56.5094326Z 2025-09-07T09:43:56.5094335Z 2025-09-07T09:43:59.8066653Z pass 2025-09-07T09:44:03.7412304Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:44:03.7413792Z import pynvml # type: ignore[import] 2025-09-07T09:44:07.1494754Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:44:07.1496303Z from pkg_resources import resource_filename 2025-09-07T09:44:07.9283505Z 2025-09-07T09:44:11.1568094Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:44:11.1568489Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:44:11.1568811Z cuda train OPTForCausalLM 2025-09-07T09:44:16.7552027Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/opt/modeling_opt.py", line 76, in forward 2025-09-07T09:44:16.7553240Z return super().forward(position_ids + self.offset) 2025-09-07T09:44:16.7553523Z 2025-09-07T09:44:16.7553528Z 2025-09-07T09:44:18.5364219Z pass 2025-09-07T09:44:21.1442672Z accuracy pass_rate=100.00% 2025-09-07T09:44:21.1448450Z calls_captured gmean=645.68x mean=1306.444x 2025-09-07T09:44:21.1453274Z unique_graphs gmean=2.46x mean=3.556x 2025-09-07T09:44:21.1457531Z graph_breaks gmean=4.93x mean=5.222x 2025-09-07T09:44:21.1462027Z unique_graph_breaks gmean=4.04x mean=4.111x 2025-09-07T09:44:21.1466396Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:44:21.1470736Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:44:21.1475049Z cudagraph_skips gmean=1.22x mean=1.333x 2025-09-07T09:44:21.1476333Z compilation_latency mean=15.106 seconds 2025-09-07T09:44:22.3541068Z + [[ 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* ]] 2025-09-07T09:44:22.3542511Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T09:44:22.3544014Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 3 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_accuracy.csv 2025-09-07T09:44:23.6142513Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:44:23.6144447Z import pynvml # type: ignore[import] 2025-09-07T09:44:27.1401157Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:44:27.1403350Z from pkg_resources import resource_filename 2025-09-07T09:44:29.4687981Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:44:29.4689428Z import pynvml # type: ignore[import] 2025-09-07T09:44:32.9908544Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:44:32.9910110Z from pkg_resources import resource_filename 2025-09-07T09:44:33.6227055Z 2025-09-07T09:44:45.1160217Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:44:45.1160604Z loading model: 0it [00:11, ?it/s] 2025-09-07T09:44:45.1160978Z cuda train M2M100ForConditionalGeneration 2025-09-07T09:47:27.8502921Z pass 2025-09-07T09:47:33.8378620Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:47:33.8380072Z import pynvml # type: ignore[import] 2025-09-07T09:47:37.4106800Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:47:37.4108350Z from pkg_resources import resource_filename 2025-09-07T09:47:38.0283170Z 2025-09-07T09:47:42.5173109Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:47:42.5173532Z loading model: 0it [00:04, ?it/s] 2025-09-07T09:47:42.5173850Z cuda train MBartForCausalLM 2025-09-07T09:48:09.3801242Z pass 2025-09-07T09:48:13.2314725Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:48:13.2316258Z import pynvml # type: ignore[import] 2025-09-07T09:48:16.6983931Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:48:16.6985497Z from pkg_resources import resource_filename 2025-09-07T09:48:17.3144575Z 2025-09-07T09:48:25.3036902Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:48:25.3037287Z loading model: 0it [00:07, ?it/s] 2025-09-07T09:48:25.3037645Z cuda train MBartForConditionalGeneration 2025-09-07T09:48:58.1372619Z pass 2025-09-07T09:49:02.3080063Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:49:02.3082004Z import pynvml # type: ignore[import] 2025-09-07T09:49:05.9658399Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:49:05.9659943Z from pkg_resources import resource_filename 2025-09-07T09:49:06.5728679Z 2025-09-07T09:49:11.5607375Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:49:11.5607970Z loading model: 0it [00:04, ?it/s] 2025-09-07T09:49:11.5608556Z cuda train MT5ForConditionalGeneration 2025-09-07T09:51:05.2095524Z W0907 09:51:05.208000 9705 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:51:53.6726695Z pass 2025-09-07T09:52:00.7737219Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:52:00.7738712Z import pynvml # type: ignore[import] 2025-09-07T09:52:04.2053084Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:52:04.2054732Z from pkg_resources import resource_filename 2025-09-07T09:52:04.8967806Z 2025-09-07T09:52:04.9138088Z loading model: 0it [00:00, ?it/s]If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:52:04.9139189Z WARNING:transformers.models.megatron_bert.modeling_megatron_bert:If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T09:52:10.2386414Z 2025-09-07T09:52:10.2386857Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:52:10.2387279Z cuda train MegatronBertForCausalLM 2025-09-07T09:54:29.4675346Z W0907 09:54:29.466000 10132 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:56:38.8037354Z pass 2025-09-07T09:56:48.0412791Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:56:48.0414968Z import pynvml # type: ignore[import] 2025-09-07T09:56:51.4624366Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:56:51.4627228Z from pkg_resources import resource_filename 2025-09-07T09:56:52.1264924Z 2025-09-07T09:56:57.4173474Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:56:57.4173865Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:56:57.4174215Z cuda train MegatronBertForQuestionAnswering 2025-09-07T09:59:14.2927654Z W0907 09:59:14.291000 10479 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:01:17.8176052Z pass 2025-09-07T10:01:27.4487325Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:01:27.4489206Z import pynvml # type: ignore[import] 2025-09-07T10:01:30.9832327Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T10:01:30.9833960Z from pkg_resources import resource_filename 2025-09-07T10:01:31.6077851Z 2025-09-07T10:01:33.5270164Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:01:33.5270538Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:01:33.5270875Z cuda train MobileBertForMaskedLM 2025-09-07T10:08:58.9852251Z pass 2025-09-07T10:09:06.9181359Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:09:06.9183979Z import pynvml # type: ignore[import] 2025-09-07T10:09:10.3990250Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T10:09:10.3991826Z from pkg_resources import resource_filename 2025-09-07T10:09:11.1542774Z 2025-09-07T10:09:13.2335513Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:09:13.2335886Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:09:13.2336244Z cuda train MobileBertForQuestionAnswering 2025-09-07T10:16:27.5994375Z pass 2025-09-07T10:16:35.5149880Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:16:35.5151412Z import pynvml # type: ignore[import] 2025-09-07T10:16:38.9886614Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T10:16:38.9888269Z from pkg_resources import resource_filename 2025-09-07T10:16:39.6004790Z 2025-09-07T10:16:42.2114299Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:16:42.2114781Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:16:42.2115206Z cuda train OPTForCausalLM 2025-09-07T10:17:05.8116656Z pass 2025-09-07T10:17:08.5154746Z accuracy pass_rate=100.00% 2025-09-07T10:17:08.5160970Z calls_captured gmean=645.68x mean=1306.444x 2025-09-07T10:17:08.5165774Z unique_graphs gmean=2.46x mean=3.556x 2025-09-07T10:17:08.5170189Z graph_breaks gmean=4.93x mean=5.222x 2025-09-07T10:17:08.5174603Z unique_graph_breaks gmean=4.04x mean=4.111x 2025-09-07T10:17:08.5179390Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:17:08.5183453Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:17:08.5187716Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T10:17:08.5188946Z compilation_latency mean=199.633 seconds 2025-09-07T10:17:09.7388206Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freezing_cudagraphs-true* ]] 2025-09-07T10:17:09.7389787Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:17:09.7391737Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freeze_autotune_cudagraphs-true* ]] 2025-09-07T10:17:09.7393253Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:17:09.7394653Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *aotinductor-true* ]] 2025-09-07T10:17:09.7396280Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:17:09.7397727Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *maxautotune-true* ]] 2025-09-07T10:17:09.7399188Z + TORCHINDUCTOR_MAX_AUTOTUNE=1 2025-09-07T10:17:09.7400673Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 5 --partition-id 3 --output /var/lib/jenkins/workspace/test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_accuracy.csv 2025-09-07T10:17:10.9997426Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:17:10.9999791Z import pynvml # type: ignore[import] 2025-09-07T10:17:14.5319657Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T10:17:14.5322331Z from pkg_resources import resource_filename 2025-09-07T10:17:16.7319036Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:17:16.7321413Z import pynvml # type: ignore[import] 2025-09-07T10:17:20.1772816Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T10:17:20.1775846Z from pkg_resources import resource_filename 2025-09-07T10:17:20.8066587Z 2025-09-07T10:17:32.2311293Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:17:32.2311816Z loading model: 0it [00:11, ?it/s] 2025-09-07T10:17:32.2312247Z cuda train M2M100ForConditionalGeneration 2025-09-07T10:18:15.8779130Z Autotune Choices Stats: 2025-09-07T10:18:15.8780679Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.021503999829292297, "best_triton_pos": 1, "best_triton_time": 0.02252800017595291, "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"} 2025-09-07T10:18:15.8785981Z AUTOTUNE mm(128x1024, 1024x4096) 2025-09-07T10:18:15.8786461Z strides: [1024, 1], [1, 1024] 2025-09-07T10:18:15.8786866Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:15.8787270Z mm 0.0215 ms 100.0% 2025-09-07T10:18:15.8788023Z triton_mm_79 0.0225 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:18:15.8789638Z 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 2025-09-07T10:18:15.8790905Z triton_mm_73 0.0236 ms 91.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:18:15.8792158Z triton_mm_80 0.0236 ms 91.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:15.8793578Z triton_mm_76 0.0246 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:15.8794836Z triton_mm_82 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 2025-09-07T10:18:15.8796089Z triton_mm_85 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 2025-09-07T10:18:15.8797297Z triton_mm_89 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=5, num_warps=8 2025-09-07T10:18:15.8798554Z triton_mm_88 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 2025-09-07T10:18:15.8799667Z SingleProcess AUTOTUNE benchmarking takes 0.2862 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:18:17.6508352Z Autotune Choices Stats: 2025-09-07T10:18:17.6509649Z {"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} 2025-09-07T10:18:17.6515068Z AUTOTUNE mm(128x1024, 1024x1024) 2025-09-07T10:18:17.6515513Z strides: [1024, 1], [1, 1024] 2025-09-07T10:18:17.6515909Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:17.6516766Z 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 2025-09-07T10:18:17.6517559Z mm 0.0133 ms 92.3% 2025-09-07T10:18:17.6518343Z 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 2025-09-07T10:18:17.6519590Z 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 2025-09-07T10:18:17.6520834Z 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 2025-09-07T10:18:17.6522056Z 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 2025-09-07T10:18:17.6523538Z 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 2025-09-07T10:18:17.6524800Z 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 2025-09-07T10:18:17.6526007Z 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 2025-09-07T10:18:17.6527608Z 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 2025-09-07T10:18:17.6528704Z SingleProcess AUTOTUNE benchmarking takes 0.2659 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:18:18.0165400Z Autotune Choices Stats: 2025-09-07T10:18:18.0167315Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "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"} 2025-09-07T10:18:18.0173232Z AUTOTUNE mm(128x4096, 4096x1024) 2025-09-07T10:18:18.0173631Z strides: [4096, 1], [1, 4096] 2025-09-07T10:18:18.0174021Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:18.0174436Z mm 0.0256 ms 100.0% 2025-09-07T10:18:18.0175204Z 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 2025-09-07T10:18:18.0176454Z 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 2025-09-07T10:18:18.0177777Z triton_mm_92 0.0389 ms 65.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:18.0178987Z 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 2025-09-07T10:18:18.0180227Z 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 2025-09-07T10:18:18.0181471Z triton_mm_97 0.0430 ms 59.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:18:18.0182710Z triton_mm_101 0.0502 ms 51.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:18.0183965Z triton_mm_100 0.0573 ms 44.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:18.0185205Z triton_mm_103 0.0584 ms 43.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:18.0186261Z SingleProcess AUTOTUNE benchmarking takes 0.3642 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:18:18.8017374Z Autotune Choices Stats: 2025-09-07T10:18:18.8018708Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_3472", "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": 0.2539519965648651, "best_triton_pos": 0} 2025-09-07T10:18:18.8025943Z AUTOTUNE mm(128x1024, 1024x128112) 2025-09-07T10:18:18.8026351Z strides: [1024, 1], [1, 1024] 2025-09-07T10:18:18.8026704Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:18.8027586Z triton_mm_3472 0.2540 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:18.8028874Z triton_mm_3473 0.2580 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:18.8030564Z triton_mm_3467 0.2652 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 2025-09-07T10:18:18.8031384Z mm 0.2673 ms 95.0% 2025-09-07T10:18:18.8032145Z triton_mm_3463 0.3113 ms 81.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:18:18.8033551Z triton_mm_3469 0.3246 ms 78.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:18.8034815Z triton_mm_3471 0.3420 ms 74.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:18.8036072Z triton_mm_3466 0.3492 ms 72.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:18.8037325Z triton_mm_3464 0.3523 ms 72.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:18.8038578Z triton_mm_3465 0.3533 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 2025-09-07T10:18:18.8039676Z SingleProcess AUTOTUNE benchmarking takes 0.7063 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:18:48.2524170Z Autotune Choices Stats: 2025-09-07T10:18:48.2525434Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_3489", "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": 0.2959359884262085, "best_triton_pos": 0} 2025-09-07T10:18:48.2532775Z AUTOTUNE mm(128112x128, 128x1024) 2025-09-07T10:18:48.2533077Z strides: [1, 128128], [1024, 1] 2025-09-07T10:18:48.2533397Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:48.2534178Z triton_mm_3489 0.2959 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:48.2535381Z triton_mm_3483 0.3072 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:48.2536576Z triton_mm_3490 0.3205 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:48.2537867Z triton_mm_3486 0.3226 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 2025-09-07T10:18:48.2539050Z triton_mm_3485 0.3379 ms 87.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:48.2540232Z triton_mm_3488 0.3523 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:18:48.2540991Z mm 0.3635 ms 81.4% 2025-09-07T10:18:48.2541687Z triton_mm_3480 0.3686 ms 80.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:18:48.2542867Z triton_mm_3484 0.3779 ms 78.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:48.2544037Z triton_mm_3487 0.3871 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 2025-09-07T10:18:48.2545403Z SingleProcess AUTOTUNE benchmarking takes 0.7082 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:18:48.8359832Z Autotune Choices Stats: 2025-09-07T10:18:48.8361061Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_3537", "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} 2025-09-07T10:18:48.8369301Z AUTOTUNE mm(1024x128, 128x4096) 2025-09-07T10:18:48.8369620Z strides: [1, 1024], [4096, 1] 2025-09-07T10:18:48.8369910Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:48.8370674Z triton_mm_3537 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 2025-09-07T10:18:48.8371891Z triton_mm_3539 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 2025-09-07T10:18:48.8373080Z triton_mm_3538 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 2025-09-07T10:18:48.8374252Z triton_mm_3541 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 2025-09-07T10:18:48.8375421Z triton_mm_3534 0.0195 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:18:48.8376604Z triton_mm_3540 0.0195 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=3, num_warps=4 2025-09-07T10:18:48.8377861Z triton_mm_3543 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 2025-09-07T10:18:48.8379055Z triton_mm_3544 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 2025-09-07T10:18:48.8379799Z mm 0.0205 ms 85.0% 2025-09-07T10:18:48.8380483Z triton_mm_3535 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 2025-09-07T10:18:48.8381496Z SingleProcess AUTOTUNE benchmarking takes 0.2573 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:18:49.3170954Z Autotune Choices Stats: 2025-09-07T10:18:49.3172136Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_3576", "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} 2025-09-07T10:18:49.3180639Z AUTOTUNE mm(4096x128, 128x1024) 2025-09-07T10:18:49.3181006Z strides: [1, 4096], [1024, 1] 2025-09-07T10:18:49.3181305Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:49.3182059Z triton_mm_3576 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 2025-09-07T10:18:49.3183275Z triton_mm_3573 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 2025-09-07T10:18:49.3184450Z triton_mm_3574 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 2025-09-07T10:18:49.3185859Z triton_mm_3575 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 2025-09-07T10:18:49.3187038Z triton_mm_3577 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 2025-09-07T10:18:49.3188213Z triton_mm_3570 0.0195 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:18:49.3189569Z triton_mm_3579 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 2025-09-07T10:18:49.3190759Z triton_mm_3580 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 2025-09-07T10:18:49.3191928Z triton_mm_3571 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 2025-09-07T10:18:49.3193106Z triton_mm_3572 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 2025-09-07T10:18:49.3194130Z SingleProcess AUTOTUNE benchmarking takes 0.2585 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:18:50.1306453Z Autotune Choices Stats: 2025-09-07T10:18:50.1307704Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_3607", "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} 2025-09-07T10:18:50.1315815Z AUTOTUNE mm(1024x128, 128x1024) 2025-09-07T10:18:50.1316136Z strides: [1, 1024], [1024, 1] 2025-09-07T10:18:50.1316439Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:50.1317200Z triton_mm_3607 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 2025-09-07T10:18:50.1318380Z triton_mm_3608 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:50.1319593Z triton_mm_3609 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 2025-09-07T10:18:50.1320783Z triton_mm_3611 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:50.1321977Z triton_mm_3612 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 2025-09-07T10:18:50.1323433Z triton_mm_3613 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 2025-09-07T10:18:50.1324640Z triton_mm_3615 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 2025-09-07T10:18:50.1325850Z triton_mm_3616 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 2025-09-07T10:18:50.1327027Z triton_mm_3604 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 2025-09-07T10:18:50.1328570Z triton_mm_3606 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 2025-09-07T10:18:50.1329600Z SingleProcess AUTOTUNE benchmarking takes 0.2343 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:18:52.2023951Z Autotune Choices Stats: 2025-09-07T10:18:52.2026862Z {"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_3521", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:18:52.2034209Z AUTOTUNE mm(128x1024, 1024x4096) 2025-09-07T10:18:52.2034689Z strides: [1024, 1], [4096, 1] 2025-09-07T10:18:52.2035160Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:52.2035626Z mm 0.0195 ms 100.0% 2025-09-07T10:18:52.2036709Z triton_mm_3521 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 2025-09-07T10:18:52.2038543Z triton_mm_3523 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 2025-09-07T10:18:52.2040403Z triton_mm_3520 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 2025-09-07T10:18:52.2042164Z triton_mm_3517 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 2025-09-07T10:18:52.2044589Z triton_mm_3511 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 2025-09-07T10:18:52.2046624Z triton_mm_3518 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 2025-09-07T10:18:52.2048785Z triton_mm_3527 0.0246 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 2025-09-07T10:18:52.2051000Z triton_mm_3512 0.0256 ms 76.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:52.2053083Z triton_mm_3519 0.0256 ms 76.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:52.2054971Z SingleProcess AUTOTUNE benchmarking takes 0.2681 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:18:56.0042100Z Autotune Choices Stats: 2025-09-07T10:18:56.0043985Z {"num_choices": 29, "num_triton_choices": 18, "best_kernel": "decompose_k_mm_3_split_1", "best_kernel_desc": "k_split=3", "best_time": 0.2590720057487488, "best_triton_pos": 7, "best_triton_time": 0.5140479803085327, "best_triton_kernel": "triton_mm_3496", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:18:56.0065514Z AUTOTUNE mm(128x128112, 128112x1024) 2025-09-07T10:18:56.0065902Z strides: [128128, 1], [1024, 1] 2025-09-07T10:18:56.0066210Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:56.0066564Z decompose_k_mm_3_split_1 0.2591 ms 100.0% k_split=3 2025-09-07T10:18:56.0066970Z decompose_k_mm_6_split_3 0.3215 ms 80.6% k_split=6 2025-09-07T10:18:56.0067377Z decompose_k_mm_2_split_0 0.3441 ms 75.3% k_split=2 2025-09-07T10:18:56.0068074Z mm 0.3615 ms 71.7% 2025-09-07T10:18:56.0068369Z decompose_k_mm_34_split_9 0.3635 ms 71.3% k_split=34 2025-09-07T10:18:56.0068777Z decompose_k_mm_17_split_7 0.3973 ms 65.2% k_split=17 2025-09-07T10:18:56.0069181Z decompose_k_mm_24_split_8 0.4137 ms 62.6% k_split=24 2025-09-07T10:18:56.0070001Z triton_mm_3496 0.5140 ms 50.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:56.0070812Z decompose_k_mm_12_split_5 0.6154 ms 42.1% k_split=12 2025-09-07T10:18:56.0071204Z decompose_k_mm_8_split_4 0.6984 ms 37.1% k_split=8 2025-09-07T10:18:56.0071987Z SingleProcess AUTOTUNE benchmarking takes 2.5907 seconds and 0.0002 seconds precompiling for 29 choices 2025-09-07T10:18:56.3742948Z Autotune Choices Stats: 2025-09-07T10:18:56.3744160Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_3550", "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": 0.02457600086927414, "best_triton_pos": 0} 2025-09-07T10:18:56.3754755Z AUTOTUNE mm(128x4096, 4096x1024) 2025-09-07T10:18:56.3755109Z strides: [4096, 1], [1024, 1] 2025-09-07T10:18:56.3755402Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:56.3756188Z triton_mm_3550 0.0246 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:56.3756947Z mm 0.0266 ms 92.3% 2025-09-07T10:18:56.3757667Z triton_mm_3554 0.0307 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 2025-09-07T10:18:56.3758847Z triton_mm_3548 0.0379 ms 64.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:56.3760007Z triton_mm_3549 0.0399 ms 61.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:56.3761178Z triton_mm_3547 0.0440 ms 55.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:18:56.3762349Z triton_mm_3553 0.0440 ms 55.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:18:56.3763843Z triton_mm_3557 0.0481 ms 51.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:56.3765020Z triton_mm_3556 0.0594 ms 41.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:56.3766208Z triton_mm_3559 0.0625 ms 39.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:56.3767226Z SingleProcess AUTOTUNE benchmarking takes 0.3585 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:18:56.6296929Z Autotune Choices Stats: 2025-09-07T10:18:56.6299093Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_3586", "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} 2025-09-07T10:18:56.6309588Z AUTOTUNE mm(128x1024, 1024x1024) 2025-09-07T10:18:56.6310197Z strides: [1024, 1], [1024, 1] 2025-09-07T10:18:56.6310712Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:56.6312418Z triton_mm_3586 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 2025-09-07T10:18:56.6313788Z mm 0.0133 ms 92.3% 2025-09-07T10:18:56.6315028Z triton_mm_3590 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 2025-09-07T10:18:56.6317190Z triton_mm_3584 0.0143 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:56.6319569Z triton_mm_3585 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 2025-09-07T10:18:56.6321719Z triton_mm_3589 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 2025-09-07T10:18:56.6324127Z triton_mm_3583 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 2025-09-07T10:18:56.6326298Z triton_mm_3593 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 2025-09-07T10:18:56.6328473Z triton_mm_3595 0.0184 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:56.6330640Z triton_mm_3592 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 2025-09-07T10:18:56.6332505Z SingleProcess AUTOTUNE benchmarking takes 0.2549 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:19:04.1826063Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T10:19:04.1828470Z pred = mod(**cloned_inputs) 2025-09-07T10:19:04.1829731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 1404, in forward 2025-09-07T10:19:04.1831038Z outputs = self.model( 2025-09-07T10:19:04.1832276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 1279, in forward 2025-09-07T10:19:04.1833591Z decoder_outputs = self.decoder( 2025-09-07T10:19:04.1834864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 1044, in forward 2025-09-07T10:19:04.1836237Z inputs_embeds = self.embed_tokens(input_ids) 2025-09-07T10:19:04.1837592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 96, in forward 2025-09-07T10:19:04.1838978Z return super().forward(input_ids) * self.embed_scale 2025-09-07T10:19:04.1839473Z 2025-09-07T10:19:04.1839482Z 2025-09-07T10:19:05.7536377Z pass 2025-09-07T10:19:12.3395713Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:19:12.3397165Z import pynvml # type: ignore[import] 2025-09-07T10:19:15.7533818Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T10:19:15.7539975Z from pkg_resources import resource_filename 2025-09-07T10:19:16.3848394Z 2025-09-07T10:19:21.0419799Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:19:21.0420187Z loading model: 0it [00:04, ?it/s] 2025-09-07T10:19:31.6731153Z cuda train MBartForCausalLM 2025-09-07T10:19:31.6731574Z Autotune Choices Stats: 2025-09-07T10:19:31.6733251Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_83", "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": 0.055296000093221664, "best_triton_pos": 0} 2025-09-07T10:19:31.6774973Z AUTOTUNE addmm(1024x4096, 1024x1024, 1024x4096) 2025-09-07T10:19:31.6775333Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:19:31.6775691Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:19:31.6776499Z triton_mm_83 0.0553 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:31.6777757Z triton_mm_88 0.0594 ms 93.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:31.6778931Z triton_mm_81 0.0604 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:31.6780097Z triton_mm_84 0.0625 ms 88.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:31.6781262Z triton_mm_82 0.0645 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 2025-09-07T10:19:31.6782424Z triton_mm_87 0.0655 ms 84.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:31.6783164Z addmm 0.0666 ms 83.1% 2025-09-07T10:19:31.6783860Z triton_mm_89 0.0666 ms 83.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:19:31.6785027Z triton_mm_85 0.0707 ms 78.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:19:31.6786182Z triton_mm_79 0.0748 ms 74.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:19:31.6787193Z SingleProcess AUTOTUNE benchmarking takes 0.7371 seconds and 1.5605 seconds precompiling for 20 choices 2025-09-07T10:19:33.0754306Z Autotune Choices Stats: 2025-09-07T10:19:33.0755790Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.023552000522613525, "best_triton_pos": 1, "best_triton_time": 0.02457600086927414, "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"} 2025-09-07T10:19:33.0803289Z AUTOTUNE mm(1024x1024, 1024x1024) 2025-09-07T10:19:33.0803626Z strides: [1024, 1], [1, 1024] 2025-09-07T10:19:33.0803940Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:33.0804265Z mm 0.0236 ms 100.0% 2025-09-07T10:19:33.0804962Z triton_mm_11 0.0246 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 2025-09-07T10:19:33.0806144Z triton_mm_17 0.0246 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:19:33.0807637Z triton_mm_16 0.0256 ms 92.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:33.0808790Z triton_mm_7 0.0266 ms 88.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:19:33.0810092Z triton_mm_12 0.0276 ms 85.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:33.0811252Z triton_mm_9 0.0287 ms 82.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:33.0812397Z triton_mm_13 0.0287 ms 82.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:19:33.0813570Z triton_mm_15 0.0287 ms 82.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:33.0814729Z triton_mm_8 0.0297 ms 79.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:19:33.0815737Z SingleProcess AUTOTUNE benchmarking takes 0.2931 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:19:33.3980268Z Autotune Choices Stats: 2025-09-07T10:19:33.3981779Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.021503999829292297, "best_triton_pos": 1, "best_triton_time": 0.025599999353289604, "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"} 2025-09-07T10:19:33.4016061Z AUTOTUNE addmm(1024x1024, 1024x1024, 1024x1024) 2025-09-07T10:19:33.4016423Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:19:33.4016780Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:19:33.4017138Z bias_addmm 0.0215 ms 100.0% 2025-09-07T10:19:33.4017941Z triton_mm_65 0.0256 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:33.4019131Z triton_mm_71 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=5, num_warps=8 2025-09-07T10:19:33.4020301Z 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 2025-09-07T10:19:33.4021464Z 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 2025-09-07T10:19:33.4022619Z 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 2025-09-07T10:19:33.4023764Z triton_mm_63 0.0297 ms 72.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:33.4024921Z triton_mm_64 0.0297 ms 72.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:19:33.4026078Z triton_mm_67 0.0297 ms 72.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:19:33.4027525Z triton_mm_69 0.0297 ms 72.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:33.4028540Z SingleProcess AUTOTUNE benchmarking takes 0.3188 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:19:33.8664190Z Autotune Choices Stats: 2025-09-07T10:19:33.8666004Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "addmm", "best_time": 0.06348799914121628, "best_triton_pos": 2, "best_triton_time": 0.07372800260782242, "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"} 2025-09-07T10:19:33.8730480Z AUTOTUNE addmm(1024x1024, 1024x4096, 4096x1024) 2025-09-07T10:19:33.8730843Z strides: [0, 1], [4096, 1], [1, 4096] 2025-09-07T10:19:33.8731223Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:19:33.8731572Z addmm 0.0635 ms 100.0% 2025-09-07T10:19:33.8731842Z bias_addmm 0.0655 ms 96.9% 2025-09-07T10:19:33.8732571Z triton_mm_101 0.0737 ms 86.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:33.8733758Z triton_mm_106 0.0768 ms 82.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:33.8734943Z triton_mm_98 0.0809 ms 78.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:19:33.8736096Z triton_mm_97 0.0819 ms 77.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:19:33.8737257Z triton_mm_107 0.0829 ms 76.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:19:33.8738506Z triton_mm_99 0.0881 ms 72.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:33.8739675Z triton_mm_102 0.0881 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=3, num_warps=4 2025-09-07T10:19:33.8740839Z triton_mm_100 0.0952 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 2025-09-07T10:19:33.8741850Z SingleProcess AUTOTUNE benchmarking takes 0.4706 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:19:37.5167350Z Autotune Choices Stats: 2025-09-07T10:19:37.5168863Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.4413439929485321, "best_triton_pos": 1, "best_triton_time": 0.5990399718284607, "best_triton_kernel": "triton_mm_123", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:19:37.5269513Z AUTOTUNE mm(1024x1024, 1024x50272) 2025-09-07T10:19:37.5269895Z strides: [1024, 1], [50304, 1] 2025-09-07T10:19:37.5270198Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:37.5270509Z mm 0.4413 ms 100.0% 2025-09-07T10:19:37.5271216Z triton_mm_123 0.5990 ms 73.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:37.5272414Z triton_mm_124 0.6195 ms 71.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:37.5273968Z triton_mm_117 0.6339 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 2025-09-07T10:19:37.5275143Z triton_mm_125 0.6943 ms 63.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:19:37.5276318Z triton_mm_120 0.7168 ms 61.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:37.5277656Z triton_mm_118 0.7301 ms 60.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:19:37.5278828Z triton_mm_119 0.7465 ms 59.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:37.5280013Z triton_mm_122 0.7936 ms 55.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:19:37.5281166Z triton_mm_121 0.8335 ms 52.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:19:37.5282181Z SingleProcess AUTOTUNE benchmarking takes 0.7546 seconds and 0.9673 seconds precompiling for 19 choices 2025-09-07T10:19:40.5462614Z Autotune Choices Stats: 2025-09-07T10:19:40.5464161Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.40959998965263367, "best_triton_pos": 1, "best_triton_time": 0.8028159737586975, "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"} 2025-09-07T10:19:40.5567990Z AUTOTUNE mm(50265x1024, 1024x1024) 2025-09-07T10:19:40.5568310Z strides: [1, 50304], [1024, 1] 2025-09-07T10:19:40.5568604Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:40.5568917Z mm 0.4096 ms 100.0% 2025-09-07T10:19:40.5569617Z triton_mm_142 0.8028 ms 51.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:40.5570819Z triton_mm_135 0.8745 ms 46.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:40.5571994Z triton_mm_140 0.8847 ms 46.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:19:40.5573156Z triton_mm_141 0.9144 ms 44.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:40.5574334Z triton_mm_137 0.9861 ms 41.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:40.5575507Z triton_mm_143 1.1182 ms 36.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:19:40.5576688Z triton_mm_138 1.1397 ms 35.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:40.5577903Z triton_mm_132 1.1684 ms 35.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:19:40.5579423Z triton_mm_131 1.2298 ms 33.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:19:40.5580445Z SingleProcess AUTOTUNE benchmarking takes 0.8214 seconds and 0.4774 seconds precompiling for 19 choices 2025-09-07T10:19:42.5360447Z Autotune Choices Stats: 2025-09-07T10:19:42.5362311Z {"num_choices": 24, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.44441598653793335, "best_triton_pos": 3, "best_triton_time": 0.8826879858970642, "best_triton_kernel": "triton_mm_160", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:19:42.5385718Z AUTOTUNE mm(1024x50272, 50272x1024) 2025-09-07T10:19:42.5386063Z strides: [50304, 1], [1024, 1] 2025-09-07T10:19:42.5386359Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:42.5386670Z mm 0.4444 ms 100.0% 2025-09-07T10:19:42.5386993Z decompose_k_mm_4_split_1 0.5212 ms 85.3% k_split=4 2025-09-07T10:19:42.5387404Z decompose_k_mm_2_split_0 0.6195 ms 71.7% k_split=2 2025-09-07T10:19:42.5388209Z triton_mm_160 0.8827 ms 50.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:42.5389408Z triton_mm_155 0.8940 ms 49.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:42.5390600Z triton_mm_161 0.9134 ms 48.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:19:42.5391781Z triton_mm_151 0.9216 ms 48.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:19:42.5392970Z triton_mm_159 0.9329 ms 47.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:42.5394140Z triton_mm_153 1.0271 ms 43.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:42.5395302Z triton_mm_152 1.1530 ms 38.5% 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 2025-09-07T10:19:42.5396322Z SingleProcess AUTOTUNE benchmarking takes 1.6908 seconds and 0.0003 seconds precompiling for 24 choices 2025-09-07T10:19:45.5716150Z Autotune Choices Stats: 2025-09-07T10:19:45.5717618Z {"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": 0.05119999870657921, "best_triton_pos": 0} 2025-09-07T10:19:45.5735713Z AUTOTUNE mm(1024x1024, 1024x4096) 2025-09-07T10:19:45.5736502Z strides: [1, 1024], [4096, 1] 2025-09-07T10:19:45.5736862Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:45.5737764Z triton_mm_191 0.0512 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:45.5738998Z triton_mm_196 0.0573 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:45.5739747Z mm 0.0584 ms 87.7% 2025-09-07T10:19:45.5740430Z triton_mm_190 0.0594 ms 86.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:19:45.5741986Z triton_mm_189 0.0604 ms 84.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:45.5743184Z triton_mm_192 0.0604 ms 84.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:45.5744355Z triton_mm_195 0.0604 ms 84.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:45.5745753Z triton_mm_193 0.0614 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:19:45.5746943Z triton_mm_197 0.0614 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:19:45.5748155Z triton_mm_187 0.0707 ms 72.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:19:45.5749175Z SingleProcess AUTOTUNE benchmarking takes 0.4011 seconds and 0.0960 seconds precompiling for 19 choices 2025-09-07T10:19:46.8579801Z Autotune Choices Stats: 2025-09-07T10:19:46.8581315Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.048128001391887665, "best_triton_pos": 1, "best_triton_time": 0.05222399905323982, "best_triton_kernel": "triton_mm_227", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:19:46.8598024Z AUTOTUNE mm(4096x1024, 1024x1024) 2025-09-07T10:19:46.8598435Z strides: [1, 4096], [1024, 1] 2025-09-07T10:19:46.8598810Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:46.8599193Z mm 0.0481 ms 100.0% 2025-09-07T10:19:46.8599965Z triton_mm_227 0.0522 ms 92.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:46.8601222Z triton_mm_228 0.0573 ms 83.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:46.8602467Z triton_mm_232 0.0573 ms 83.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:46.8603991Z triton_mm_226 0.0594 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=4, num_warps=8 2025-09-07T10:19:46.8605235Z triton_mm_231 0.0594 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:46.8606491Z triton_mm_225 0.0604 ms 79.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:46.8607730Z triton_mm_229 0.0614 ms 78.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:19:46.8608982Z triton_mm_233 0.0614 ms 78.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:19:46.8610207Z triton_mm_223 0.0707 ms 68.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:19:46.8611291Z SingleProcess AUTOTUNE benchmarking takes 0.4210 seconds and 0.8392 seconds precompiling for 19 choices 2025-09-07T10:19:47.2943417Z Autotune Choices Stats: 2025-09-07T10:19:47.2944923Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.050175998359918594, "best_triton_pos": 1, "best_triton_time": 0.05222399905323982, "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"} 2025-09-07T10:19:47.2962320Z AUTOTUNE mm(1024x1024, 1024x4096) 2025-09-07T10:19:47.2963078Z strides: [1024, 1], [4096, 1] 2025-09-07T10:19:47.2963729Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:47.2964487Z mm 0.0502 ms 100.0% 2025-09-07T10:19:47.2965213Z triton_mm_173 0.0522 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:47.2966393Z triton_mm_178 0.0563 ms 89.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:47.2967590Z triton_mm_174 0.0584 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 2025-09-07T10:19:47.2968767Z triton_mm_177 0.0584 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 2025-09-07T10:19:47.2969945Z triton_mm_171 0.0594 ms 84.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:47.2971113Z triton_mm_172 0.0594 ms 84.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:19:47.2972281Z triton_mm_179 0.0614 ms 81.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:19:47.2973456Z triton_mm_175 0.0625 ms 80.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:19:47.2974605Z triton_mm_169 0.0707 ms 71.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:19:47.2975616Z SingleProcess AUTOTUNE benchmarking takes 0.4132 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:19:47.8945124Z Autotune Choices Stats: 2025-09-07T10:19:47.8946625Z {"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_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"} 2025-09-07T10:19:47.8963973Z AUTOTUNE mm(1024x1024, 1024x1024) 2025-09-07T10:19:47.8964325Z strides: [1, 1024], [1024, 1] 2025-09-07T10:19:47.8964619Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:47.8964933Z mm 0.0225 ms 100.0% 2025-09-07T10:19:47.8965650Z triton_mm_263 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 2025-09-07T10:19:47.8966874Z triton_mm_269 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 2025-09-07T10:19:47.8968063Z triton_mm_268 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 2025-09-07T10:19:47.8969582Z triton_mm_259 0.0266 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:19:47.8970736Z triton_mm_260 0.0276 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:19:47.8971912Z triton_mm_261 0.0276 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:47.8973238Z triton_mm_262 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 2025-09-07T10:19:47.8974410Z triton_mm_264 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 2025-09-07T10:19:47.8975577Z triton_mm_265 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 2025-09-07T10:19:47.8976597Z SingleProcess AUTOTUNE benchmarking takes 0.2825 seconds and 0.0006 seconds precompiling for 19 choices 2025-09-07T10:19:49.2800905Z Autotune Choices Stats: 2025-09-07T10:19:49.2802430Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.05632000043988228, "best_triton_pos": 1, "best_triton_time": 0.07065600156784058, "best_triton_kernel": "triton_mm_209", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:19:49.2820771Z AUTOTUNE mm(1024x4096, 4096x1024) 2025-09-07T10:19:49.2821091Z strides: [4096, 1], [1024, 1] 2025-09-07T10:19:49.2821398Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:49.2821717Z mm 0.0563 ms 100.0% 2025-09-07T10:19:49.2822414Z triton_mm_209 0.0707 ms 79.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:49.2823593Z triton_mm_215 0.0727 ms 77.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:19:49.2824764Z triton_mm_205 0.0788 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 2025-09-07T10:19:49.2825927Z triton_mm_207 0.0799 ms 70.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:49.2827089Z triton_mm_214 0.0799 ms 70.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:49.2828254Z triton_mm_206 0.0819 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 2025-09-07T10:19:49.2829409Z triton_mm_213 0.0891 ms 63.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:49.2830589Z triton_mm_210 0.0901 ms 62.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:49.2831752Z triton_mm_211 0.0952 ms 59.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:19:49.2832765Z SingleProcess AUTOTUNE benchmarking takes 0.4249 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:19:49.5604223Z Autotune Choices Stats: 2025-09-07T10:19:49.5605751Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.020479999482631683, "best_triton_pos": 1, "best_triton_time": 0.023552000522613525, "best_triton_kernel": "triton_mm_245", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:19:49.5624241Z AUTOTUNE mm(1024x1024, 1024x1024) 2025-09-07T10:19:49.5624559Z strides: [1024, 1], [1024, 1] 2025-09-07T10:19:49.5624868Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:49.5625542Z mm 0.0205 ms 100.0% 2025-09-07T10:19:49.5626235Z triton_mm_245 0.0236 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:49.5627420Z triton_mm_251 0.0246 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:19:49.5628609Z triton_mm_241 0.0266 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:19:49.5629768Z triton_mm_243 0.0266 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:49.5630951Z triton_mm_250 0.0266 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:49.5632134Z triton_mm_247 0.0276 ms 74.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:19:49.5633311Z triton_mm_249 0.0276 ms 74.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:49.5634468Z triton_mm_244 0.0287 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:19:49.5635636Z triton_mm_246 0.0287 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:19:49.5636658Z SingleProcess AUTOTUNE benchmarking takes 0.2795 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:19:51.0710067Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mbart/modeling_mbart.py", line 107, in forward 2025-09-07T10:19:51.0711365Z return super().forward(position_ids + self.offset) 2025-09-07T10:19:51.0711634Z 2025-09-07T10:19:51.0711639Z 2025-09-07T10:19:51.3822287Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mbart/modeling_mbart.py", line 121, in forward 2025-09-07T10:19:51.3823549Z return super().forward(input_ids) * self.embed_scale 2025-09-07T10:19:51.3823824Z 2025-09-07T10:19:51.3823829Z 2025-09-07T10:19:52.2817460Z pass 2025-09-07T10:19:56.3382682Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:19:56.3384081Z import pynvml # type: ignore[import] 2025-09-07T10:19:59.8410412Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T10:19:59.8412330Z from pkg_resources import resource_filename 2025-09-07T10:20:00.4659622Z 2025-09-07T10:20:08.1241694Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:20:08.1242083Z loading model: 0it [00:07, ?it/s] 2025-09-07T10:20:08.1242436Z cuda train MBartForConditionalGeneration 2025-09-07T10:20:14.3201179Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mbart/modeling_mbart.py", line 121, in forward 2025-09-07T10:20:14.3203617Z return super().forward(input_ids) * self.embed_scale 2025-09-07T10:20:14.3204043Z 2025-09-07T10:20:14.3204051Z 2025-09-07T10:20:19.1026912Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mbart/modeling_mbart.py", line 107, in forward 2025-09-07T10:20:19.1028988Z return super().forward(position_ids + self.offset) 2025-09-07T10:20:19.1029434Z 2025-09-07T10:20:19.1029441Z 2025-09-07T10:20:31.1452361Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mbart/modeling_mbart.py", line 107, in forward 2025-09-07T10:20:31.1453645Z return super().forward(position_ids + self.offset) 2025-09-07T10:20:31.1453926Z 2025-09-07T10:20:31.1453931Z 2025-09-07T10:20:34.3799533Z pass 2025-09-07T10:20:38.3072480Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:20:38.3075192Z import pynvml # type: ignore[import] 2025-09-07T10:20:41.7441107Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T10:20:41.7444401Z from pkg_resources import resource_filename 2025-09-07T10:20:42.3481457Z 2025-09-07T10:20:47.2392533Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:20:47.2392951Z loading model: 0it [00:04, ?it/s] 2025-09-07T10:20:47.2393307Z cuda train MT5ForConditionalGeneration 2025-09-07T10:21:25.6351410Z Autotune Choices Stats: 2025-09-07T10:21:25.6352640Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_131", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:21:25.6372288Z AUTOTUNE mm(128x512, 512x1024) 2025-09-07T10:21:25.6372591Z strides: [512, 1], [1, 512] 2025-09-07T10:21:25.6372882Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:25.6373640Z triton_mm_131 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:25.6374384Z mm 0.0113 ms 90.9% 2025-09-07T10:21:25.6375084Z triton_mm_128 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:21:25.6376233Z triton_mm_129 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:21:25.6377818Z triton_mm_130 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:21:25.6378979Z triton_mm_135 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:25.6380136Z triton_mm_134 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:21:25.6381554Z triton_mm_138 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:25.6382722Z triton_mm_137 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:25.6383896Z triton_mm_140 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:25.6384897Z SingleProcess AUTOTUNE benchmarking takes 0.2597 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:21:26.9615679Z Autotune Choices Stats: 2025-09-07T10:21:26.9616928Z {"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": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:21:26.9637186Z AUTOTUNE mm(128x512, 512x384) 2025-09-07T10:21:26.9637493Z strides: [512, 1], [1, 512] 2025-09-07T10:21:26.9637795Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:26.9638562Z triton_mm_4 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:26.9639312Z mm 0.0113 ms 90.9% 2025-09-07T10:21:26.9639989Z triton_mm_1 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:21:26.9641143Z triton_mm_2 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:21:26.9642290Z triton_mm_3 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:21:26.9643679Z triton_mm_7 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:21:26.9644822Z triton_mm_8 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:26.9645990Z triton_mm_11 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:26.9647151Z triton_mm_10 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:26.9648308Z triton_mm_13 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:26.9649320Z SingleProcess AUTOTUNE benchmarking takes 0.2575 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:21:27.2158135Z Autotune Choices Stats: 2025-09-07T10:21:27.2159303Z {"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": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:21:27.2180669Z AUTOTUNE bmm(6x128x64, 6x64x128) 2025-09-07T10:21:27.2180983Z strides: [64, 384, 1], [64, 1, 384] 2025-09-07T10:21:27.2181301Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:27.2182338Z triton_bmm_55 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:21:27.2183529Z triton_bmm_56 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:21:27.2184729Z triton_bmm_57 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:21:27.2185903Z triton_bmm_58 0.0072 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 2025-09-07T10:21:27.2186644Z bmm 0.0082 ms 87.5% 2025-09-07T10:21:27.2187309Z triton_bmm_54 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:21:27.2188466Z triton_bmm_60 0.0082 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 2025-09-07T10:21:27.2189620Z triton_bmm_61 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:21:27.2190778Z triton_bmm_62 0.0082 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=5, num_warps=4 2025-09-07T10:21:27.2191934Z triton_bmm_63 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:27.2192948Z SingleProcess AUTOTUNE benchmarking takes 0.2522 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:21:27.4569970Z Autotune Choices Stats: 2025-09-07T10:21:27.4571404Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "bmm", "best_time": 0.008191999979317188, "best_triton_pos": 1, "best_triton_time": 0.008191999979317188, "best_triton_kernel": "triton_bmm_74", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4"} 2025-09-07T10:21:27.4593687Z AUTOTUNE bmm(6x128x128, 6x128x64) 2025-09-07T10:21:27.4594059Z strides: [16384, 128, 1], [64, 384, 1] 2025-09-07T10:21:27.4594390Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:27.4594699Z bmm 0.0082 ms 100.0% 2025-09-07T10:21:27.4595421Z triton_bmm_74 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:21:27.4596613Z triton_bmm_75 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:21:27.4597778Z triton_bmm_76 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:21:27.4598956Z triton_bmm_77 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:27.4600488Z triton_bmm_80 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 2025-09-07T10:21:27.4601652Z triton_bmm_82 0.0082 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 2025-09-07T10:21:27.4603358Z triton_bmm_83 0.0082 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 2025-09-07T10:21:27.4604538Z 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 2025-09-07T10:21:27.4605691Z 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 2025-09-07T10:21:27.4606719Z SingleProcess AUTOTUNE benchmarking takes 0.2406 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:21:27.7072293Z Autotune Choices Stats: 2025-09-07T10:21:27.7073451Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_92", "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} 2025-09-07T10:21:27.7095558Z AUTOTUNE mm(128x384, 384x512) 2025-09-07T10:21:27.7095907Z strides: [384, 1], [1, 384] 2025-09-07T10:21:27.7096195Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:27.7096971Z triton_mm_92 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 2025-09-07T10:21:27.7098248Z triton_mm_95 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:27.7098997Z mm 0.0102 ms 90.0% 2025-09-07T10:21:27.7099684Z triton_mm_93 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 2025-09-07T10:21:27.7100831Z triton_mm_94 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 2025-09-07T10:21:27.7101980Z triton_mm_98 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:21:27.7103137Z triton_mm_99 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 2025-09-07T10:21:27.7104305Z triton_mm_101 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:27.7105474Z triton_mm_102 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:27.7106650Z triton_mm_104 0.0123 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:27.7107667Z SingleProcess AUTOTUNE benchmarking takes 0.2488 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:21:27.9764427Z Autotune Choices Stats: 2025-09-07T10:21:27.9765634Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_149", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:21:27.9792143Z AUTOTUNE mm(128x1024, 1024x512) 2025-09-07T10:21:27.9792461Z strides: [1024, 1], [1, 1024] 2025-09-07T10:21:27.9792764Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:27.9793523Z triton_mm_149 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:27.9794254Z mm 0.0133 ms 84.6% 2025-09-07T10:21:27.9795139Z triton_mm_153 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 2025-09-07T10:21:27.9796310Z triton_mm_146 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 2025-09-07T10:21:27.9797482Z triton_mm_147 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 2025-09-07T10:21:27.9798636Z triton_mm_148 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 2025-09-07T10:21:27.9799790Z triton_mm_152 0.0164 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 2025-09-07T10:21:27.9800932Z triton_mm_156 0.0174 ms 64.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:27.9802099Z triton_mm_155 0.0205 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=4, num_warps=8 2025-09-07T10:21:27.9803483Z triton_mm_158 0.0205 ms 55.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:27.9804496Z SingleProcess AUTOTUNE benchmarking takes 0.2682 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:21:28.8458658Z Autotune Choices Stats: 2025-09-07T10:21:28.8459895Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_3496", "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": 0.2590720057487488, "best_triton_pos": 0} 2025-09-07T10:21:28.8482296Z AUTOTUNE mm(128x512, 512x250112) 2025-09-07T10:21:28.8482630Z strides: [512, 1], [1, 512] 2025-09-07T10:21:28.8483115Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:28.8483905Z triton_mm_3496 0.2591 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:28.8484668Z mm 0.2693 ms 96.2% 2025-09-07T10:21:28.8485366Z triton_mm_3497 0.2724 ms 95.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:21:28.8486551Z triton_mm_3491 0.2734 ms 94.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:28.8487723Z triton_mm_3495 0.2970 ms 87.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:28.8488913Z triton_mm_3493 0.3154 ms 82.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:28.8490386Z triton_mm_3489 0.3195 ms 81.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:28.8491561Z triton_mm_3490 0.3195 ms 81.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:28.8492886Z triton_mm_3487 0.3287 ms 78.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:21:28.8494065Z triton_mm_3492 0.3359 ms 77.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:28.8495079Z SingleProcess AUTOTUNE benchmarking takes 0.7224 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:21:57.3297101Z Autotune Choices Stats: 2025-09-07T10:21:57.3298418Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_3510", "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": 0.30003198981285095, "best_triton_pos": 0} 2025-09-07T10:21:57.3322540Z AUTOTUNE mm(250112x128, 128x512) 2025-09-07T10:21:57.3323039Z strides: [1, 250112], [512, 1] 2025-09-07T10:21:57.3323358Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:57.3324163Z triton_mm_3510 0.3000 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 2025-09-07T10:21:57.3325365Z triton_mm_3507 0.3062 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:57.3326566Z triton_mm_3513 0.3072 ms 97.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:57.3327760Z triton_mm_3514 0.3185 ms 94.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:57.3328939Z triton_mm_3509 0.3410 ms 88.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:57.3330118Z triton_mm_3511 0.3697 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:57.3331285Z triton_mm_3512 0.3697 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:21:57.3332035Z mm 0.3809 ms 78.8% 2025-09-07T10:21:57.3332715Z triton_mm_3504 0.3830 ms 78.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:21:57.3333886Z triton_mm_3508 0.3942 ms 76.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:57.3334906Z SingleProcess AUTOTUNE benchmarking takes 0.7058 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:21:57.8673856Z Autotune Choices Stats: 2025-09-07T10:21:57.8675046Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_3543", "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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:21:57.8697925Z AUTOTUNE mm(512x128, 128x1024) 2025-09-07T10:21:57.8698313Z strides: [1, 512], [1024, 1] 2025-09-07T10:21:57.8698610Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:57.8699380Z triton_mm_3543 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=3, num_warps=4 2025-09-07T10:21:57.8700596Z triton_mm_3544 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 2025-09-07T10:21:57.8701992Z triton_mm_3545 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 2025-09-07T10:21:57.8703186Z triton_mm_3546 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:57.8704389Z triton_mm_3547 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:57.8705567Z triton_mm_3536 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 2025-09-07T10:21:57.8706739Z triton_mm_3538 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:57.8707910Z triton_mm_3541 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:21:57.8709080Z triton_mm_3542 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 2025-09-07T10:21:57.8710247Z triton_mm_3549 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:57.8711273Z SingleProcess AUTOTUNE benchmarking takes 0.2353 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:21:58.3188223Z Autotune Choices Stats: 2025-09-07T10:21:58.3189501Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_3578", "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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:21:58.3219461Z AUTOTUNE mm(1024x128, 128x512) 2025-09-07T10:21:58.3219850Z strides: [1, 1024], [512, 1] 2025-09-07T10:21:58.3220155Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:58.3220934Z triton_mm_3578 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:58.3222138Z triton_mm_3579 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=3, num_warps=4 2025-09-07T10:21:58.3223338Z triton_mm_3580 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 2025-09-07T10:21:58.3224525Z triton_mm_3581 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 2025-09-07T10:21:58.3225713Z triton_mm_3582 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:58.3227218Z triton_mm_3583 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:58.3227955Z mm 0.0102 ms 90.0% 2025-09-07T10:21:58.3228649Z triton_mm_3574 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:58.3229992Z triton_mm_3577 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:21:58.3231180Z triton_mm_3585 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:58.3232204Z SingleProcess AUTOTUNE benchmarking takes 0.2353 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:21:59.1029797Z Autotune Choices Stats: 2025-09-07T10:21:59.1031020Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_3644", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:21:59.1055174Z AUTOTUNE mm(512x128, 128x384) 2025-09-07T10:21:59.1055477Z strides: [1, 512], [384, 1] 2025-09-07T10:21:59.1055774Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:59.1056555Z triton_mm_3644 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:21:59.1057804Z triton_mm_3645 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:21:59.1059013Z triton_mm_3646 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:59.1060209Z triton_mm_3649 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 2025-09-07T10:21:59.1060950Z mm 0.0092 ms 88.9% 2025-09-07T10:21:59.1061637Z triton_mm_3643 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 2025-09-07T10:21:59.1062803Z triton_mm_3650 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 2025-09-07T10:21:59.1063981Z triton_mm_3651 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:59.1065156Z triton_mm_3652 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:59.1066325Z triton_mm_3653 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:59.1067333Z SingleProcess AUTOTUNE benchmarking takes 0.2339 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:21:59.5601571Z Autotune Choices Stats: 2025-09-07T10:21:59.5602785Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_3751", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:21:59.5627816Z AUTOTUNE mm(384x128, 128x512) 2025-09-07T10:21:59.5628162Z strides: [1, 384], [512, 1] 2025-09-07T10:21:59.5628464Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:59.5629229Z triton_mm_3751 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:21:59.5630426Z triton_mm_3752 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:21:59.5631967Z triton_mm_3753 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:59.5633173Z triton_mm_3756 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 2025-09-07T10:21:59.5634386Z triton_mm_3757 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:59.5635139Z mm 0.0092 ms 88.9% 2025-09-07T10:21:59.5635812Z triton_mm_3750 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 2025-09-07T10:21:59.5636999Z triton_mm_3758 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:59.5638186Z triton_mm_3759 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:59.5639354Z triton_mm_3760 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:59.5640387Z SingleProcess AUTOTUNE benchmarking takes 0.2376 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:21:59.8448163Z Autotune Choices Stats: 2025-09-07T10:21:59.8449680Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.008191999979317188, "best_triton_pos": 1, "best_triton_time": 0.008191999979317188, "best_triton_kernel": "triton_mm_3787", "best_triton_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"} 2025-09-07T10:21:59.8474363Z AUTOTUNE mm(384x128, 128x512) 2025-09-07T10:21:59.8474754Z strides: [128, 1], [512, 1] 2025-09-07T10:21:59.8475051Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:59.8475348Z mm 0.0082 ms 100.0% 2025-09-07T10:21:59.8476059Z triton_mm_3787 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:21:59.8477276Z triton_mm_3788 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:21:59.8478463Z triton_mm_3789 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:59.8479656Z triton_mm_3792 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 2025-09-07T10:21:59.8480850Z triton_mm_3793 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:59.8482362Z triton_mm_3786 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 2025-09-07T10:21:59.8483738Z triton_mm_3794 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:59.8484922Z triton_mm_3795 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:59.8486277Z triton_mm_3796 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:59.8487296Z SingleProcess AUTOTUNE benchmarking takes 0.2320 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:22:01.0951363Z Autotune Choices Stats: 2025-09-07T10:22:01.0952604Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_3556", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:22:01.0978440Z AUTOTUNE mm(128x512, 512x1024) 2025-09-07T10:22:01.0978752Z strides: [512, 1], [1024, 1] 2025-09-07T10:22:01.0979059Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:01.0979860Z triton_mm_3556 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:01.0981064Z triton_mm_3560 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:01.0981813Z mm 0.0113 ms 90.9% 2025-09-07T10:22:01.0982486Z triton_mm_3554 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:22:01.0983664Z triton_mm_3555 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:22:01.0984831Z triton_mm_3559 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:22:01.0986007Z triton_mm_3553 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:22:01.0987182Z triton_mm_3563 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:01.0988360Z triton_mm_3562 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:22:01.0989537Z triton_mm_3565 0.0143 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:22:01.0990537Z SingleProcess AUTOTUNE benchmarking takes 0.2496 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:22:05.6672439Z Autotune Choices Stats: 2025-09-07T10:22:05.6673985Z {"num_choices": 27, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.2611199915409088, "best_triton_pos": 9, "best_triton_time": 0.9676799774169922, "best_triton_kernel": "triton_mm_3520", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:22:05.6713999Z AUTOTUNE mm(128x250112, 250112x512) 2025-09-07T10:22:05.6714338Z strides: [250112, 1], [512, 1] 2025-09-07T10:22:05.6714642Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:05.6714938Z mm 0.2611 ms 100.0% 2025-09-07T10:22:05.6715242Z decompose_k_mm_4_split_1 0.3021 ms 86.4% k_split=4 2025-09-07T10:22:05.6715647Z decompose_k_mm_16_split_3 0.3389 ms 77.0% k_split=16 2025-09-07T10:22:05.6716050Z decompose_k_mm_32_split_4 0.3564 ms 73.3% k_split=32 2025-09-07T10:22:05.6716447Z decompose_k_mm_8_split_2 0.3820 ms 68.4% k_split=8 2025-09-07T10:22:05.6716840Z decompose_k_mm_128_split_6 0.3901 ms 66.9% k_split=128 2025-09-07T10:22:05.6717472Z decompose_k_mm_2_split_0 0.4710 ms 55.4% k_split=2 2025-09-07T10:22:05.6717879Z decompose_k_mm_64_split_5 0.4915 ms 53.1% k_split=64 2025-09-07T10:22:05.6718289Z decompose_k_mm_256_split_7 0.5745 ms 45.5% k_split=256 2025-09-07T10:22:05.6719086Z triton_mm_3520 0.9677 ms 27.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:05.6720117Z SingleProcess AUTOTUNE benchmarking takes 2.3805 seconds and 0.0003 seconds precompiling for 27 choices 2025-09-07T10:22:05.9345509Z Autotune Choices Stats: 2025-09-07T10:22:05.9346655Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_3592", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:22:05.9375034Z AUTOTUNE mm(128x1024, 1024x512) 2025-09-07T10:22:05.9375375Z strides: [1024, 1], [512, 1] 2025-09-07T10:22:05.9375668Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:05.9376431Z triton_mm_3592 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:05.9377194Z mm 0.0133 ms 84.6% 2025-09-07T10:22:05.9377952Z triton_mm_3596 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 2025-09-07T10:22:05.9379137Z triton_mm_3590 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 2025-09-07T10:22:05.9380302Z triton_mm_3591 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 2025-09-07T10:22:05.9381490Z triton_mm_3589 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 2025-09-07T10:22:05.9382660Z triton_mm_3595 0.0164 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 2025-09-07T10:22:05.9383832Z triton_mm_3599 0.0174 ms 64.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:05.9384993Z triton_mm_3601 0.0184 ms 61.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:22:05.9386174Z triton_mm_3598 0.0195 ms 57.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:22:05.9387196Z SingleProcess AUTOTUNE benchmarking takes 0.2646 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:22:06.1858338Z Autotune Choices Stats: 2025-09-07T10:22:06.1859507Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_3662", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:22:06.1887807Z AUTOTUNE mm(128x512, 512x384) 2025-09-07T10:22:06.1888126Z strides: [512, 1], [384, 1] 2025-09-07T10:22:06.1888423Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:06.1889186Z triton_mm_3662 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:22:06.1890592Z triton_mm_3664 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:06.1891780Z triton_mm_3668 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:06.1892545Z mm 0.0113 ms 90.9% 2025-09-07T10:22:06.1893234Z triton_mm_3661 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:22:06.1894403Z triton_mm_3663 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:22:06.1895577Z triton_mm_3667 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:22:06.1896747Z triton_mm_3671 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:06.1898025Z triton_mm_3670 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:22:06.1899202Z triton_mm_3673 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:22:06.1900221Z SingleProcess AUTOTUNE benchmarking takes 0.2496 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:22:06.4223244Z Autotune Choices Stats: 2025-09-07T10:22:06.4224692Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "bmm", "best_time": 0.008191999979317188, "best_triton_pos": 1, "best_triton_time": 0.008191999979317188, "best_triton_kernel": "triton_bmm_3679", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4"} 2025-09-07T10:22:06.4257405Z AUTOTUNE bmm(6x128x128, 6x128x64) 2025-09-07T10:22:06.4257726Z strides: [16384, 1, 128], [64, 384, 1] 2025-09-07T10:22:06.4258055Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:06.4258366Z bmm 0.0082 ms 100.0% 2025-09-07T10:22:06.4259077Z triton_bmm_3679 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:22:06.4260283Z triton_bmm_3680 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:22:06.4261488Z triton_bmm_3681 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:22:06.4262684Z triton_bmm_3682 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:06.4263861Z triton_bmm_3685 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 2025-09-07T10:22:06.4265295Z triton_bmm_3687 0.0082 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 2025-09-07T10:22:06.4266482Z triton_bmm_3688 0.0082 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 2025-09-07T10:22:06.4267818Z triton_bmm_3689 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 2025-09-07T10:22:06.4269007Z triton_bmm_3686 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 2025-09-07T10:22:06.4270026Z SingleProcess AUTOTUNE benchmarking takes 0.2363 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:22:06.6369261Z Autotune Choices Stats: 2025-09-07T10:22:06.6370706Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "bmm", "best_time": 0.008191999979317188, "best_triton_pos": 1, "best_triton_time": 0.008191999979317188, "best_triton_kernel": "triton_bmm_3716", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4"} 2025-09-07T10:22:06.6401040Z AUTOTUNE bmm(6x64x128, 6x128x128) 2025-09-07T10:22:06.6401432Z strides: [64, 1, 384], [16384, 128, 1] 2025-09-07T10:22:06.6401763Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:06.6402075Z bmm 0.0082 ms 100.0% 2025-09-07T10:22:06.6402786Z triton_bmm_3716 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:22:06.6404298Z triton_bmm_3717 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:22:06.6405497Z triton_bmm_3718 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:22:06.6406703Z triton_bmm_3719 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:06.6407907Z triton_bmm_3722 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 2025-09-07T10:22:06.6409110Z triton_bmm_3723 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:06.6410308Z triton_bmm_3727 0.0082 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 2025-09-07T10:22:06.6411502Z triton_bmm_3728 0.0082 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 2025-09-07T10:22:06.6412701Z triton_bmm_3724 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:06.6413728Z SingleProcess AUTOTUNE benchmarking takes 0.2118 seconds and 0.0003 seconds precompiling for 17 choices 2025-09-07T10:22:06.8841987Z Autotune Choices Stats: 2025-09-07T10:22:06.8843382Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_3771", "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} 2025-09-07T10:22:06.8873406Z AUTOTUNE mm(128x384, 384x512) 2025-09-07T10:22:06.8873716Z strides: [384, 1], [512, 1] 2025-09-07T10:22:06.8874014Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:06.8874768Z triton_mm_3771 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:06.8875522Z mm 0.0102 ms 90.0% 2025-09-07T10:22:06.8876435Z triton_mm_3768 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 2025-09-07T10:22:06.8877621Z triton_mm_3769 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 2025-09-07T10:22:06.8878794Z triton_mm_3770 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 2025-09-07T10:22:06.8879959Z triton_mm_3774 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:22:06.8881117Z triton_mm_3775 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 2025-09-07T10:22:06.8882298Z triton_mm_3778 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:06.8883614Z triton_mm_3777 0.0123 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:22:06.8884803Z triton_mm_3780 0.0123 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:22:06.8885825Z SingleProcess AUTOTUNE benchmarking takes 0.2441 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:22:07.1292887Z Autotune Choices Stats: 2025-09-07T10:22:07.1294031Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_3807", "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} 2025-09-07T10:22:07.1467513Z AUTOTUNE mm(128x384, 384x512) 2025-09-07T10:22:07.1467826Z strides: [1, 128], [512, 1] 2025-09-07T10:22:07.1468123Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:07.1468898Z triton_mm_3807 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:07.1469654Z mm 0.0102 ms 90.0% 2025-09-07T10:22:07.1470332Z triton_mm_3804 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 2025-09-07T10:22:07.1471498Z triton_mm_3805 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 2025-09-07T10:22:07.1472659Z triton_mm_3806 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 2025-09-07T10:22:07.1473823Z triton_mm_3810 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:22:07.1475249Z triton_mm_3811 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 2025-09-07T10:22:07.1476424Z triton_mm_3814 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:07.1477733Z triton_mm_3813 0.0123 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:22:07.1478896Z triton_mm_3816 0.0123 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:22:07.1479912Z SingleProcess AUTOTUNE benchmarking takes 0.2588 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:22:12.9811632Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T10:22:12.9812891Z pred = mod(**cloned_inputs) 2025-09-07T10:22:12.9813560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 1787, in forward 2025-09-07T10:22:12.9814258Z decoder_outputs = self.decoder( 2025-09-07T10:22:12.9814956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 1079, in forward 2025-09-07T10:22:12.9815634Z layer_outputs = layer_module( 2025-09-07T10:22:12.9816235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T10:22:12.9816891Z return super().__call__(*args, **kwargs) 2025-09-07T10:22:12.9817668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 559, in forward 2025-09-07T10:22:12.9818367Z self_attention_outputs = self.layer[0]( 2025-09-07T10:22:12.9819039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 475, in forward 2025-09-07T10:22:12.9819734Z attention_output = self.SelfAttention( 2025-09-07T10:22:12.9820416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 414, in forward 2025-09-07T10:22:12.9821105Z position_bias = self.compute_bias( 2025-09-07T10:22:12.9821814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 338, in compute_bias 2025-09-07T10:22:12.9822773Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T10:22:12.9823282Z 2025-09-07T10:22:12.9823291Z 2025-09-07T10:22:13.9483275Z W0907 10:22:13.947000 19144 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:22:48.3012835Z pass 2025-09-07T10:22:54.7974460Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:22:54.7975953Z import pynvml # type: ignore[import] 2025-09-07T10:22:58.3128562Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T10:22:58.3131047Z from pkg_resources import resource_filename 2025-09-07T10:22:59.0210043Z 2025-09-07T10:22:59.0383916Z loading model: 0it [00:00, ?it/s]If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T10:22:59.0386119Z WARNING:transformers.models.megatron_bert.modeling_megatron_bert:If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-09-07T10:23:04.7009221Z 2025-09-07T10:23:04.7009698Z loading model: 0it [00:05, ?it/s] 2025-09-07T10:23:04.7010113Z cuda train MegatronBertForCausalLM 2025-09-07T10:23:51.3135729Z Autotune Choices Stats: 2025-09-07T10:23:51.3137774Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.03379200026392937, "best_triton_pos": 1, "best_triton_time": 0.03481600061058998, "best_triton_kernel": "triton_mm_120", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:23:51.3168319Z AUTOTUNE addmm(512x4096, 512x1024, 1024x4096) 2025-09-07T10:23:51.3168680Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:23:51.3169041Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:23:51.3169415Z bias_addmm 0.0338 ms 100.0% 2025-09-07T10:23:51.3170126Z triton_mm_120 0.0348 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:51.3171311Z triton_mm_121 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 2025-09-07T10:23:51.3172479Z triton_mm_118 0.0379 ms 89.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:51.3173216Z addmm 0.0410 ms 82.5% 2025-09-07T10:23:51.3173906Z triton_mm_116 0.0410 ms 82.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:23:51.3175056Z triton_mm_119 0.0410 ms 82.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:23:51.3176224Z triton_mm_125 0.0410 ms 82.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:51.3177467Z triton_mm_115 0.0430 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 2025-09-07T10:23:51.3178639Z triton_mm_122 0.0440 ms 76.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:23:51.3179666Z SingleProcess AUTOTUNE benchmarking takes 0.3722 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T10:23:52.9465904Z Autotune Choices Stats: 2025-09-07T10:23:52.9467402Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.01945599913597107, "best_triton_pos": 1, "best_triton_time": 0.01945599913597107, "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"} 2025-09-07T10:23:52.9495925Z AUTOTUNE addmm(512x1024, 512x1024, 1024x1024) 2025-09-07T10:23:52.9496321Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:23:52.9496687Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:23:52.9497051Z bias_addmm 0.0195 ms 100.0% 2025-09-07T10:23:52.9497824Z triton_mm_11 0.0195 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:52.9503457Z triton_mm_7 0.0215 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:23:52.9504602Z triton_mm_10 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 2025-09-07T10:23:52.9505763Z triton_mm_13 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 2025-09-07T10:23:52.9507118Z triton_mm_8 0.0225 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:23:52.9508274Z triton_mm_1 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 2025-09-07T10:23:52.9509019Z addmm 0.0246 ms 79.2% 2025-09-07T10:23:52.9509711Z triton_mm_4 0.0246 ms 79.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:23:52.9510892Z triton_mm_17 0.0246 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 2025-09-07T10:23:52.9511900Z SingleProcess AUTOTUNE benchmarking takes 0.3252 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:23:53.2465530Z Autotune Choices Stats: 2025-09-07T10:23:53.2466680Z {"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": 0.015359999611973763, "best_triton_pos": 0} 2025-09-07T10:23:53.2497101Z AUTOTUNE bmm(16x512x64, 16x64x512) 2025-09-07T10:23:53.2497494Z strides: [64, 1024, 1], [64, 1, 1024] 2025-09-07T10:23:53.2497819Z dtypes: torch.float16, torch.float16 2025-09-07T10:23:53.2498560Z triton_bmm_61 0.0154 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:23:53.2499750Z triton_bmm_66 0.0154 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:23:53.2500937Z triton_bmm_62 0.0164 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:23:53.2502099Z triton_bmm_63 0.0164 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:53.2503267Z triton_bmm_65 0.0164 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:53.2504435Z triton_bmm_67 0.0164 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:53.2505593Z triton_bmm_58 0.0174 ms 88.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:23:53.2506756Z triton_bmm_60 0.0174 ms 88.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:23:53.2507904Z triton_bmm_64 0.0174 ms 88.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:23:53.2509298Z triton_bmm_68 0.0174 ms 88.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:23:53.2510315Z SingleProcess AUTOTUNE benchmarking takes 0.2951 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:23:53.5293559Z Autotune Choices Stats: 2025-09-07T10:23:53.5294945Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_89", "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=3, num_warps=4", "best_time": 0.018432000651955605, "best_triton_pos": 0} 2025-09-07T10:23:53.5324691Z AUTOTUNE bmm(16x512x512, 16x512x64) 2025-09-07T10:23:53.5325035Z strides: [262144, 512, 1], [64, 1024, 1] 2025-09-07T10:23:53.5325368Z dtypes: torch.float16, torch.float16 2025-09-07T10:23:53.5326137Z triton_bmm_89 0.0184 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 2025-09-07T10:23:53.5327320Z triton_bmm_74 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:23:53.5328478Z triton_bmm_80 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 2025-09-07T10:23:53.5329642Z triton_bmm_84 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=4 2025-09-07T10:23:53.5330781Z triton_bmm_90 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:23:53.5331943Z triton_bmm_83 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:23:53.5333111Z triton_bmm_87 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:23:53.5333849Z bmm 0.0215 ms 85.7% 2025-09-07T10:23:53.5334530Z triton_bmm_75 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 2025-09-07T10:23:53.5335691Z triton_bmm_81 0.0215 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:23:53.5336695Z SingleProcess AUTOTUNE benchmarking takes 0.2822 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:23:53.9504538Z Autotune Choices Stats: 2025-09-07T10:23:53.9506027Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.03891199827194214, "best_triton_pos": 2, "best_triton_time": 0.05222399905323982, "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"} 2025-09-07T10:23:53.9535982Z AUTOTUNE addmm(512x1024, 512x4096, 4096x1024) 2025-09-07T10:23:53.9536384Z strides: [0, 1], [4096, 1], [1, 4096] 2025-09-07T10:23:53.9536767Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:23:53.9537129Z bias_addmm 0.0389 ms 100.0% 2025-09-07T10:23:53.9537495Z addmm 0.0440 ms 88.4% 2025-09-07T10:23:53.9538211Z triton_mm_138 0.0522 ms 74.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:53.9539693Z triton_mm_135 0.0543 ms 71.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:23:53.9540858Z triton_mm_134 0.0584 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:23:53.9542004Z triton_mm_137 0.0584 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 2025-09-07T10:23:53.9543336Z triton_mm_140 0.0594 ms 65.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:23:53.9544507Z triton_mm_128 0.0676 ms 57.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:23:53.9545698Z triton_mm_143 0.0748 ms 52.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:53.9546870Z triton_mm_139 0.0788 ms 49.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:53.9547890Z SingleProcess AUTOTUNE benchmarking takes 0.4187 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:23:54.9572518Z Autotune Choices Stats: 2025-09-07T10:23:54.9574059Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.1454080045223236, "best_triton_pos": 1, "best_triton_time": 0.17612800002098083, "best_triton_kernel": "triton_mm_3514", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:23:54.9607665Z AUTOTUNE addmm(512x29056, 512x1024, 1024x29056) 2025-09-07T10:23:54.9608042Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:23:54.9608401Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:23:54.9608757Z bias_addmm 0.1454 ms 100.0% 2025-09-07T10:23:54.9609492Z triton_mm_3514 0.1761 ms 82.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:54.9610695Z triton_mm_3513 0.1792 ms 81.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:54.9611883Z triton_mm_3507 0.2017 ms 72.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:54.9613072Z triton_mm_3510 0.2028 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 2025-09-07T10:23:54.9614247Z triton_mm_3509 0.2079 ms 70.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:54.9615423Z triton_mm_3515 0.2079 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 2025-09-07T10:23:54.9616586Z triton_mm_3505 0.2509 ms 58.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:23:54.9617804Z triton_mm_3508 0.2550 ms 57.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:23:54.9619307Z triton_mm_3511 0.2632 ms 55.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:23:54.9620324Z SingleProcess AUTOTUNE benchmarking takes 0.7066 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:24:25.2450111Z Autotune Choices Stats: 2025-09-07T10:24:25.2455104Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.13619199395179749, "best_triton_pos": 1, "best_triton_time": 0.17203199863433838, "best_triton_kernel": "triton_mm_3549", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:24:25.2493271Z AUTOTUNE mm(29056x512, 512x1024) 2025-09-07T10:24:25.2493768Z strides: [1, 29056], [1024, 1] 2025-09-07T10:24:25.2494249Z dtypes: torch.float16, torch.float16 2025-09-07T10:24:25.2494814Z mm 0.1362 ms 100.0% 2025-09-07T10:24:25.2496116Z triton_mm_3549 0.1720 ms 79.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:24:25.2498441Z triton_mm_3550 0.1741 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=3, num_warps=4 2025-09-07T10:24:25.2500704Z triton_mm_3543 0.1833 ms 74.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:24:25.2502984Z triton_mm_3545 0.1997 ms 68.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:24:25.2505042Z triton_mm_3546 0.2028 ms 67.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:24:25.2507249Z triton_mm_3551 0.2273 ms 59.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:24:25.2509493Z triton_mm_3544 0.2294 ms 59.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:24:25.2511781Z triton_mm_3548 0.2304 ms 59.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:24:25.2513978Z triton_mm_3547 0.2324 ms 58.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:24:25.2515759Z SingleProcess AUTOTUNE benchmarking takes 0.6627 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:24:25.8579395Z Autotune Choices Stats: 2025-09-07T10:24:25.8581437Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_3617", "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} 2025-09-07T10:24:25.8614530Z AUTOTUNE mm(1024x512, 512x4096) 2025-09-07T10:24:25.8615055Z strides: [1, 1024], [4096, 1] 2025-09-07T10:24:25.8615614Z dtypes: torch.float16, torch.float16 2025-09-07T10:24:25.8617107Z triton_mm_3617 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 2025-09-07T10:24:25.8618587Z mm 0.0328 ms 96.9% 2025-09-07T10:24:25.8619881Z triton_mm_3622 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 2025-09-07T10:24:25.8622406Z triton_mm_3621 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 2025-09-07T10:24:25.8624610Z triton_mm_3615 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 2025-09-07T10:24:25.8626815Z triton_mm_3616 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 2025-09-07T10:24:25.8629368Z triton_mm_3618 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 2025-09-07T10:24:25.8631617Z triton_mm_3619 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 2025-09-07T10:24:25.8633709Z triton_mm_3623 0.0399 ms 79.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:24:25.8635863Z triton_mm_3612 0.0440 ms 72.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:24:25.8637789Z SingleProcess AUTOTUNE benchmarking takes 0.3123 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:24:26.1964023Z Autotune Choices Stats: 2025-09-07T10:24:26.1965517Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.03174399957060814, "best_triton_pos": 1, "best_triton_time": 0.03174399957060814, "best_triton_kernel": "triton_mm_3653", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:24:26.1997390Z AUTOTUNE mm(4096x512, 512x1024) 2025-09-07T10:24:26.1997698Z strides: [1, 4096], [1024, 1] 2025-09-07T10:24:26.1998003Z dtypes: torch.float16, torch.float16 2025-09-07T10:24:26.1998297Z mm 0.0317 ms 100.0% 2025-09-07T10:24:26.1999007Z triton_mm_3653 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 2025-09-07T10:24:26.2007841Z triton_mm_3657 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 2025-09-07T10:24:26.2009073Z triton_mm_3658 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 2025-09-07T10:24:26.2010273Z triton_mm_3651 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 2025-09-07T10:24:26.2011468Z triton_mm_3654 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 2025-09-07T10:24:26.2012647Z triton_mm_3652 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 2025-09-07T10:24:26.2013812Z triton_mm_3655 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 2025-09-07T10:24:26.2015003Z triton_mm_3659 0.0399 ms 79.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:24:26.2016481Z triton_mm_3649 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 2025-09-07T10:24:26.2017617Z SingleProcess AUTOTUNE benchmarking takes 0.3130 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:24:27.0393065Z Autotune Choices Stats: 2025-09-07T10:24:27.0396392Z {"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_3597", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:24:27.0428435Z AUTOTUNE mm(512x1024, 1024x4096) 2025-09-07T10:24:27.0429020Z strides: [1024, 1], [4096, 1] 2025-09-07T10:24:27.0429564Z dtypes: torch.float16, torch.float16 2025-09-07T10:24:27.0430132Z mm 0.0307 ms 100.0% 2025-09-07T10:24:27.0431446Z triton_mm_3597 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 2025-09-07T10:24:27.0433740Z triton_mm_3599 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 2025-09-07T10:24:27.0436055Z triton_mm_3600 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 2025-09-07T10:24:27.0438389Z triton_mm_3598 0.0379 ms 81.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:24:27.0440689Z triton_mm_3604 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 2025-09-07T10:24:27.0443322Z triton_mm_3601 0.0399 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:24:27.0445638Z triton_mm_3595 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 2025-09-07T10:24:27.0447937Z triton_mm_3603 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 2025-09-07T10:24:27.0450291Z triton_mm_3605 0.0430 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 2025-09-07T10:24:27.0452294Z SingleProcess AUTOTUNE benchmarking takes 0.3181 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:24:28.1630829Z Autotune Choices Stats: 2025-09-07T10:24:28.1632324Z {"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_3832", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:24:28.1665935Z AUTOTUNE mm(1024x512, 512x1024) 2025-09-07T10:24:28.1666244Z strides: [512, 1], [1024, 1] 2025-09-07T10:24:28.1666531Z dtypes: torch.float16, torch.float16 2025-09-07T10:24:28.1666868Z mm 0.0164 ms 100.0% 2025-09-07T10:24:28.1667590Z triton_mm_3832 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 2025-09-07T10:24:28.1668799Z triton_mm_3837 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:24:28.1670327Z triton_mm_3838 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:24:28.1671517Z triton_mm_3830 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 2025-09-07T10:24:28.1672836Z triton_mm_3833 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 2025-09-07T10:24:28.1674008Z triton_mm_3828 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 2025-09-07T10:24:28.1675176Z triton_mm_3831 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 2025-09-07T10:24:28.1676359Z triton_mm_3836 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 2025-09-07T10:24:28.1677541Z triton_mm_3834 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 2025-09-07T10:24:28.1678558Z SingleProcess AUTOTUNE benchmarking takes 0.2587 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:24:28.7026498Z Autotune Choices Stats: 2025-09-07T10:24:28.7027973Z {"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_3581", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:24:28.7065957Z AUTOTUNE mm(1024x512, 512x1024) 2025-09-07T10:24:28.7066301Z strides: [1, 1024], [1024, 1] 2025-09-07T10:24:28.7066607Z dtypes: torch.float16, torch.float16 2025-09-07T10:24:28.7066916Z mm 0.0164 ms 100.0% 2025-09-07T10:24:28.7067636Z triton_mm_3581 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 2025-09-07T10:24:28.7068857Z triton_mm_3579 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 2025-09-07T10:24:28.7070020Z triton_mm_3582 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 2025-09-07T10:24:28.7071216Z triton_mm_3586 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 2025-09-07T10:24:28.7072401Z triton_mm_3587 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 2025-09-07T10:24:28.7073565Z triton_mm_3577 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 2025-09-07T10:24:28.7074748Z triton_mm_3585 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 2025-09-07T10:24:28.7075921Z triton_mm_3580 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 2025-09-07T10:24:28.7077436Z triton_mm_3583 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 2025-09-07T10:24:28.7078449Z SingleProcess AUTOTUNE benchmarking takes 0.2652 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:24:31.1022640Z Autotune Choices Stats: 2025-09-07T10:24:31.1024564Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.1372160017490387, "best_triton_pos": 1, "best_triton_time": 0.30105599761009216, "best_triton_kernel": "triton_mm_3527", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:24:31.1056418Z AUTOTUNE mm(512x29056, 29056x1024) 2025-09-07T10:24:31.1056725Z strides: [29056, 1], [1024, 1] 2025-09-07T10:24:31.1057027Z dtypes: torch.float16, torch.float16 2025-09-07T10:24:31.1057438Z mm 0.1372 ms 100.0% 2025-09-07T10:24:31.1058141Z triton_mm_3527 0.3011 ms 45.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:24:31.1059319Z triton_mm_3524 0.3400 ms 40.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:24:31.1060498Z triton_mm_3523 0.3543 ms 38.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:24:31.1061669Z triton_mm_3526 0.3799 ms 36.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:24:31.1062841Z triton_mm_3520 0.3830 ms 35.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:24:31.1064020Z triton_mm_3529 0.4065 ms 33.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:24:31.1065193Z triton_mm_3517 0.4209 ms 32.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:24:31.1066380Z triton_mm_3533 0.4618 ms 29.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:24:31.1067558Z triton_mm_3525 0.4649 ms 29.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:24:31.1068557Z SingleProcess AUTOTUNE benchmarking takes 0.6912 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:24:31.3712609Z Autotune Choices Stats: 2025-09-07T10:24:31.3714064Z {"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_3563", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:24:31.3749432Z AUTOTUNE mm(512x1024, 1024x1024) 2025-09-07T10:24:31.3749737Z strides: [1024, 1], [1024, 1] 2025-09-07T10:24:31.3750049Z dtypes: torch.float16, torch.float16 2025-09-07T10:24:31.3750358Z mm 0.0164 ms 100.0% 2025-09-07T10:24:31.3751053Z triton_mm_3563 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 2025-09-07T10:24:31.3752230Z triton_mm_3562 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 2025-09-07T10:24:31.3753675Z triton_mm_3565 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 2025-09-07T10:24:31.3754848Z triton_mm_3559 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 2025-09-07T10:24:31.3756156Z triton_mm_3553 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 2025-09-07T10:24:31.3757344Z triton_mm_3560 0.0225 ms 72.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:24:31.3758533Z triton_mm_3556 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 2025-09-07T10:24:31.3759707Z triton_mm_3561 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 2025-09-07T10:24:31.3760891Z triton_mm_3569 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 2025-09-07T10:24:31.3761920Z SingleProcess AUTOTUNE benchmarking takes 0.2668 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:24:31.7471062Z Autotune Choices Stats: 2025-09-07T10:24:31.7472495Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.035840000957250595, "best_triton_pos": 1, "best_triton_time": 0.050175998359918594, "best_triton_kernel": "triton_mm_3635", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:24:31.7507022Z AUTOTUNE mm(512x4096, 4096x1024) 2025-09-07T10:24:31.7507321Z strides: [4096, 1], [1024, 1] 2025-09-07T10:24:31.7507622Z dtypes: torch.float16, torch.float16 2025-09-07T10:24:31.7507916Z mm 0.0358 ms 100.0% 2025-09-07T10:24:31.7508612Z triton_mm_3635 0.0502 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:24:31.7509803Z triton_mm_3631 0.0563 ms 63.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:24:31.7510972Z triton_mm_3632 0.0573 ms 62.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:24:31.7512150Z triton_mm_3634 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 2025-09-07T10:24:31.7513324Z triton_mm_3628 0.0614 ms 58.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:24:31.7514485Z triton_mm_3637 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 2025-09-07T10:24:31.7515668Z triton_mm_3625 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 2025-09-07T10:24:31.7516848Z triton_mm_3641 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 2025-09-07T10:24:31.7518286Z triton_mm_3633 0.0748 ms 47.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:24:31.7519298Z SingleProcess AUTOTUNE benchmarking takes 0.3734 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:24:32.0085786Z Autotune Choices Stats: 2025-09-07T10:24:32.0087291Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_3710", "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=4, num_warps=8", "best_time": 0.018432000651955605, "best_triton_pos": 0} 2025-09-07T10:24:32.0124095Z AUTOTUNE bmm(16x512x512, 16x512x64) 2025-09-07T10:24:32.0124431Z strides: [262144, 1, 512], [64, 1024, 1] 2025-09-07T10:24:32.0124767Z dtypes: torch.float16, torch.float16 2025-09-07T10:24:32.0125542Z triton_bmm_3710 0.0184 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 2025-09-07T10:24:32.0126752Z triton_bmm_3703 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 2025-09-07T10:24:32.0127934Z triton_bmm_3706 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 2025-09-07T10:24:32.0129110Z triton_bmm_3707 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=4 2025-09-07T10:24:32.0130295Z triton_bmm_3709 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:24:32.0131494Z triton_bmm_3712 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:24:32.0132677Z triton_bmm_3713 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:24:32.0133846Z triton_bmm_3705 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:24:32.0134587Z bmm 0.0215 ms 85.7% 2025-09-07T10:24:32.0135282Z triton_bmm_3697 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 2025-09-07T10:24:32.0136299Z SingleProcess AUTOTUNE benchmarking takes 0.2579 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:24:32.2415836Z Autotune Choices Stats: 2025-09-07T10:24:32.2417002Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_bmm_3743", "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} 2025-09-07T10:24:32.2454000Z AUTOTUNE bmm(16x64x512, 16x512x512) 2025-09-07T10:24:32.2454317Z strides: [64, 1, 1024], [262144, 512, 1] 2025-09-07T10:24:32.2454644Z dtypes: torch.float16, torch.float16 2025-09-07T10:24:32.2455428Z triton_bmm_3743 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 2025-09-07T10:24:32.2456634Z triton_bmm_3742 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 2025-09-07T10:24:32.2458114Z triton_bmm_3744 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:24:32.2459292Z triton_bmm_3746 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 2025-09-07T10:24:32.2460454Z triton_bmm_3740 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:24:32.2461779Z triton_bmm_3745 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:24:32.2462971Z triton_bmm_3748 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 2025-09-07T10:24:32.2463729Z bmm 0.0215 ms 85.7% 2025-09-07T10:24:32.2464428Z triton_bmm_3734 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 2025-09-07T10:24:32.2465612Z triton_bmm_3735 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 2025-09-07T10:24:32.2466627Z SingleProcess AUTOTUNE benchmarking takes 0.2313 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:24:32.5122754Z Autotune Choices Stats: 2025-09-07T10:24:32.5124435Z {"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_3814", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:24:32.5166975Z AUTOTUNE mm(512x1024, 1024x1024) 2025-09-07T10:24:32.5167302Z strides: [1, 512], [1024, 1] 2025-09-07T10:24:32.5167598Z dtypes: torch.float16, torch.float16 2025-09-07T10:24:32.5167896Z mm 0.0164 ms 100.0% 2025-09-07T10:24:32.5168598Z triton_mm_3814 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 2025-09-07T10:24:32.5169788Z triton_mm_3816 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 2025-09-07T10:24:32.5170963Z triton_mm_3810 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 2025-09-07T10:24:32.5172148Z triton_mm_3813 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 2025-09-07T10:24:32.5173318Z triton_mm_3811 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 2025-09-07T10:24:32.5174499Z triton_mm_3804 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 2025-09-07T10:24:32.5175662Z triton_mm_3812 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 2025-09-07T10:24:32.5176845Z triton_mm_3820 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 2025-09-07T10:24:32.5178408Z triton_mm_3815 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 2025-09-07T10:24:32.5179422Z SingleProcess AUTOTUNE benchmarking takes 0.2673 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:24:40.2504667Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T10:24:40.2506391Z pred = mod(**cloned_inputs) 2025-09-07T10:24:40.2507155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 1064, in forward 2025-09-07T10:24:40.2507938Z outputs = self.bert( 2025-09-07T10:24:40.2508667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 849, in forward 2025-09-07T10:24:40.2509465Z embedding_output = self.embeddings( 2025-09-07T10:24:40.2510241Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 172, in forward 2025-09-07T10:24:40.2511091Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T10:24:40.2511413Z 2025-09-07T10:24:40.2511418Z 2025-09-07T10:24:41.5916493Z W0907 10:24:41.590000 24183 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:25:59.8228887Z pass 2025-09-07T10:26:08.3032014Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:26:08.3034737Z import pynvml # type: ignore[import] 2025-09-07T10:26:11.7216105Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T10:26:11.7217782Z from pkg_resources import resource_filename 2025-09-07T10:26:12.3298530Z 2025-09-07T10:26:17.3609500Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:26:17.3609899Z loading model: 0it [00:05, ?it/s] 2025-09-07T10:26:17.3610276Z cuda train MegatronBertForQuestionAnswering 2025-09-07T10:27:03.3253078Z Autotune Choices Stats: 2025-09-07T10:27:03.3254315Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_3484", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:27:03.3293861Z AUTOTUNE mm(512x1024, 1024x2) 2025-09-07T10:27:03.3294165Z strides: [1024, 1], [1, 1024] 2025-09-07T10:27:03.3294471Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:03.3295242Z triton_mm_3484 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 2025-09-07T10:27:03.3296475Z triton_mm_3490 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 2025-09-07T10:27:03.3297707Z triton_mm_3482 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:27:03.3298869Z triton_mm_3483 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=5, num_warps=4 2025-09-07T10:27:03.3300412Z triton_mm_3495 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=5, num_warps=8 2025-09-07T10:27:03.3301574Z triton_mm_3481 0.0143 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:27:03.3302913Z triton_mm_3487 0.0143 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:27:03.3303658Z mm 0.0154 ms 66.7% 2025-09-07T10:27:03.3304346Z triton_mm_3489 0.0154 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:27:03.3305524Z triton_mm_3494 0.0154 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:27:03.3306538Z SingleProcess AUTOTUNE benchmarking takes 0.2429 seconds and 0.0003 seconds precompiling for 17 choices 2025-09-07T10:27:33.7473682Z Autotune Choices Stats: 2025-09-07T10:27:33.7476323Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_3514", "best_kernel_desc": "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", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:27:33.7514452Z AUTOTUNE mm(2x512, 512x1024) 2025-09-07T10:27:33.7514849Z strides: [1, 2], [1024, 1] 2025-09-07T10:27:33.7515149Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:33.7515917Z triton_mm_3514 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:27:33.7517122Z triton_mm_3515 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 2025-09-07T10:27:33.7518300Z triton_mm_3516 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 2025-09-07T10:27:33.7519497Z triton_mm_3520 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:27:33.7520691Z triton_mm_3524 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:27:33.7521889Z triton_mm_3513 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 2025-09-07T10:27:33.7523272Z triton_mm_3519 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:27:33.7524455Z triton_mm_3523 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=3, num_warps=4 2025-09-07T10:27:33.7525632Z triton_mm_3526 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 2025-09-07T10:27:33.7526791Z triton_mm_3528 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:27:33.7527800Z SingleProcess AUTOTUNE benchmarking takes 0.2303 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:27:35.0230608Z Autotune Choices Stats: 2025-09-07T10:27:35.0231828Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_3497", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:27:35.0269307Z AUTOTUNE mm(512x2, 2x1024) 2025-09-07T10:27:35.0269649Z strides: [2, 1], [1024, 1] 2025-09-07T10:27:35.0269947Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:35.0271151Z triton_mm_3497 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:27:35.0272365Z triton_mm_3498 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 2025-09-07T10:27:35.0273561Z triton_mm_3500 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 2025-09-07T10:27:35.0274761Z triton_mm_3501 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 2025-09-07T10:27:35.0275950Z triton_mm_3502 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 2025-09-07T10:27:35.0277139Z triton_mm_3503 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 2025-09-07T10:27:35.0278341Z triton_mm_3504 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:27:35.0279536Z triton_mm_3505 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 2025-09-07T10:27:35.0280726Z triton_mm_3506 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=4 2025-09-07T10:27:35.0281907Z triton_mm_3507 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=3, num_warps=4 2025-09-07T10:27:35.0283154Z SingleProcess AUTOTUNE benchmarking takes 0.2049 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:27:43.2447806Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T10:27:43.2449108Z pred = mod(**cloned_inputs) 2025-09-07T10:27:43.2449864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 1597, in forward 2025-09-07T10:27:43.2451045Z outputs = self.bert( 2025-09-07T10:27:43.2451810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 849, in forward 2025-09-07T10:27:43.2452598Z embedding_output = self.embeddings( 2025-09-07T10:27:43.2453379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 172, in forward 2025-09-07T10:27:43.2454235Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T10:27:43.2454571Z 2025-09-07T10:27:43.2454576Z 2025-09-07T10:27:44.3435681Z W0907 10:27:44.342000 28303 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T10:29:00.5257293Z pass 2025-09-07T10:29:08.7158148Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:29:08.7160751Z import pynvml # type: ignore[import] 2025-09-07T10:29:12.0856947Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T10:29:12.0860901Z from pkg_resources import resource_filename 2025-09-07T10:29:12.7090489Z 2025-09-07T10:29:14.5019665Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:29:14.5020074Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:29:14.5020419Z cuda train MobileBertForMaskedLM 2025-09-07T10:30:34.4653555Z Autotune Choices Stats: 2025-09-07T10:30:34.4656235Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.008191999979317188, "best_triton_pos": 1, "best_triton_time": 0.008191999979317188, "best_triton_kernel": "triton_mm_161", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4"} 2025-09-07T10:30:34.4693940Z AUTOTUNE mm(128x128, 128x512) 2025-09-07T10:30:34.4694281Z strides: [128, 1], [1, 128] 2025-09-07T10:30:34.4694602Z dtypes: torch.float16, torch.float16 2025-09-07T10:30:34.4694907Z mm 0.0082 ms 100.0% 2025-09-07T10:30:34.4695630Z triton_mm_161 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:30:34.4696838Z triton_mm_162 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:30:34.4698096Z triton_mm_163 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:30:34.4699282Z triton_mm_164 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:30:34.4700467Z triton_mm_167 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 2025-09-07T10:30:34.4701633Z triton_mm_168 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:30:34.4702819Z triton_mm_169 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:30:34.4703988Z triton_mm_170 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:30:34.4705168Z triton_mm_171 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:30:34.4706191Z SingleProcess AUTOTUNE benchmarking takes 0.2520 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:30:37.9001882Z Autotune Choices Stats: 2025-09-07T10:30:37.9003616Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.010239999741315842, "best_triton_pos": 1, "best_triton_time": 0.010239999741315842, "best_triton_kernel": "triton_mm_37", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4"} 2025-09-07T10:30:37.9043266Z AUTOTUNE addmm(128x128, 128x512, 512x128) 2025-09-07T10:30:37.9043618Z strides: [0, 1], [512, 1], [1, 512] 2025-09-07T10:30:37.9043960Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:30:37.9044337Z bias_addmm 0.0102 ms 100.0% 2025-09-07T10:30:37.9045282Z triton_mm_37 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:30:37.9046479Z triton_mm_40 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:30:37.9047656Z triton_mm_38 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:30:37.9048799Z triton_mm_39 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:30:37.9049933Z triton_mm_43 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:30:37.9051083Z triton_mm_44 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:30:37.9052250Z triton_mm_47 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:30:37.9053408Z triton_mm_49 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:30:37.9054142Z addmm 0.0143 ms 71.4% 2025-09-07T10:30:37.9054679Z SingleProcess AUTOTUNE benchmarking takes 0.2890 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:30:38.4325503Z Autotune Choices Stats: 2025-09-07T10:30:38.4326740Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_143", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:30:38.4366461Z AUTOTUNE addmm(128x128, 128x128, 128x128) 2025-09-07T10:30:38.4366795Z strides: [0, 1], [128, 1], [1, 128] 2025-09-07T10:30:38.4367145Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:30:38.4367958Z triton_mm_143 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:30:38.4369148Z triton_mm_144 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:30:38.4370314Z triton_mm_145 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:30:38.4371488Z triton_mm_146 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:30:38.4372664Z triton_mm_150 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:30:38.4373722Z bias_addmm 0.0092 ms 88.9% 2025-09-07T10:30:38.4374418Z triton_mm_149 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 2025-09-07T10:30:38.4375582Z triton_mm_152 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:30:38.4376905Z triton_mm_153 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:30:38.4378170Z triton_mm_154 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:30:38.4379187Z SingleProcess AUTOTUNE benchmarking takes 0.2816 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:30:38.9582201Z Autotune Choices Stats: 2025-09-07T10:30:38.9583415Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_182", "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} 2025-09-07T10:30:38.9624372Z AUTOTUNE mm(128x512, 512x128) 2025-09-07T10:30:38.9624692Z strides: [512, 1], [1, 512] 2025-09-07T10:30:38.9624993Z dtypes: torch.float16, torch.float16 2025-09-07T10:30:38.9625785Z triton_mm_182 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:30:38.9626968Z triton_mm_179 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 2025-09-07T10:30:38.9628162Z triton_mm_180 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 2025-09-07T10:30:38.9629316Z triton_mm_181 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 2025-09-07T10:30:38.9630482Z triton_mm_186 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 2025-09-07T10:30:38.9631233Z mm 0.0113 ms 81.8% 2025-09-07T10:30:38.9631921Z triton_mm_185 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 2025-09-07T10:30:38.9633073Z triton_mm_189 0.0123 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:30:38.9634238Z triton_mm_188 0.0133 ms 69.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:30:38.9635406Z triton_mm_191 0.0133 ms 69.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:30:38.9636423Z SingleProcess AUTOTUNE benchmarking takes 0.2561 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:30:44.3627801Z Autotune Choices Stats: 2025-09-07T10:30:44.3629001Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_108", "best_kernel_desc": "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", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:30:44.3671218Z AUTOTUNE bmm(4x128x32, 4x32x128) 2025-09-07T10:30:44.3671573Z strides: [32, 128, 1], [32, 1, 128] 2025-09-07T10:30:44.3671894Z dtypes: torch.float16, torch.float16 2025-09-07T10:30:44.3672667Z triton_bmm_108 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:30:44.3673852Z triton_bmm_109 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:30:44.3675390Z triton_bmm_110 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:30:44.3676579Z triton_bmm_111 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:30:44.3677775Z triton_bmm_112 0.0072 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=4 2025-09-07T10:30:44.3678955Z triton_bmm_114 0.0072 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 2025-09-07T10:30:44.3680143Z triton_bmm_115 0.0072 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=8 2025-09-07T10:30:44.3681324Z triton_bmm_116 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:30:44.3682054Z bmm 0.0082 ms 87.5% 2025-09-07T10:30:44.3682744Z triton_bmm_113 0.0082 ms 87.5% 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 2025-09-07T10:30:44.3684000Z SingleProcess AUTOTUNE benchmarking takes 0.2326 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:30:44.5931531Z Autotune Choices Stats: 2025-09-07T10:30:44.5932698Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_127", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:30:44.5972403Z AUTOTUNE bmm(4x128x128, 4x128x32) 2025-09-07T10:30:44.5972739Z strides: [16384, 128, 1], [32, 128, 1] 2025-09-07T10:30:44.5973075Z dtypes: torch.float16, torch.float16 2025-09-07T10:30:44.5973830Z triton_bmm_127 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:30:44.5974596Z bmm 0.0082 ms 87.5% 2025-09-07T10:30:44.5975299Z triton_bmm_128 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:30:44.5976485Z triton_bmm_129 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:30:44.5977710Z triton_bmm_132 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:30:44.5978883Z triton_bmm_133 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:30:44.5980047Z triton_bmm_134 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:30:44.5981433Z triton_bmm_135 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:30:44.5982606Z triton_bmm_136 0.0082 ms 87.5% 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=4, num_warps=4 2025-09-07T10:30:44.5983909Z triton_bmm_137 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:30:44.5984934Z SingleProcess AUTOTUNE benchmarking takes 0.2296 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:30:45.1217865Z Autotune Choices Stats: 2025-09-07T10:30:45.1219364Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.010239999741315842, "best_triton_pos": 1, "best_triton_time": 0.010239999741315842, "best_triton_kernel": "triton_mm_7318", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:30:45.1261164Z AUTOTUNE addmm(128x512, 128x512, 512x512) 2025-09-07T10:30:45.1261507Z strides: [0, 1], [512, 1], [1, 512] 2025-09-07T10:30:45.1261856Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:30:45.1262224Z bias_addmm 0.0102 ms 100.0% 2025-09-07T10:30:45.1262971Z triton_mm_7318 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:30:45.1264161Z triton_mm_7315 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:30:45.1265330Z triton_mm_7316 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:30:45.1266497Z triton_mm_7317 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:30:45.1267666Z triton_mm_7322 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:30:45.1268840Z triton_mm_7321 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:30:45.1270010Z triton_mm_7325 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:30:45.1271194Z triton_mm_7324 0.0143 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:30:45.1272371Z triton_mm_7327 0.0143 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:30:45.1273373Z SingleProcess AUTOTUNE benchmarking takes 0.2856 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:30:45.4787212Z Autotune Choices Stats: 2025-09-07T10:30:45.4788429Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_7344", "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": 0.055296000093221664, "best_triton_pos": 0} 2025-09-07T10:30:45.4830057Z AUTOTUNE mm(128x512, 512x30522) 2025-09-07T10:30:45.4830420Z strides: [512, 1], [30528, 1] 2025-09-07T10:30:45.4830709Z dtypes: torch.float16, torch.float16 2025-09-07T10:30:45.4831477Z triton_mm_7344 0.0553 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 2025-09-07T10:30:45.4832672Z triton_mm_7345 0.0563 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:30:45.4834084Z triton_mm_7347 0.0563 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:30:45.4835276Z triton_mm_7341 0.0584 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:30:45.4836453Z triton_mm_7338 0.0594 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=2, num_warps=4 2025-09-07T10:30:45.4837632Z triton_mm_7343 0.0594 ms 93.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:30:45.4838794Z triton_mm_7348 0.0604 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:30:45.4839978Z triton_mm_7342 0.0635 ms 87.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:30:45.4841160Z triton_mm_7346 0.0686 ms 80.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:30:45.4842350Z triton_mm_7349 0.0686 ms 80.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:30:45.4843566Z SingleProcess AUTOTUNE benchmarking takes 0.3543 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:31:38.0684142Z Autotune Choices Stats: 2025-09-07T10:31:38.0685417Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_7365", "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": 0.05427199974656105, "best_triton_pos": 0} 2025-09-07T10:31:38.0730133Z AUTOTUNE mm(512x128, 128x30522) 2025-09-07T10:31:38.0730485Z strides: [1, 512], [30528, 1] 2025-09-07T10:31:38.0730792Z dtypes: torch.float16, torch.float16 2025-09-07T10:31:38.0731578Z triton_mm_7365 0.0543 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:38.0732812Z triton_mm_7358 0.0553 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:38.0733993Z triton_mm_7362 0.0553 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:38.0734732Z mm 0.0584 ms 93.0% 2025-09-07T10:31:38.0735436Z triton_mm_7359 0.0584 ms 93.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:38.0736616Z triton_mm_7366 0.0604 ms 89.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:38.0738242Z triton_mm_7364 0.0614 ms 88.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:31:38.0739423Z triton_mm_7356 0.0645 ms 84.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:31:38.0740609Z triton_mm_7363 0.0645 ms 84.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:31:38.0741960Z triton_mm_7361 0.0666 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:38.0742982Z SingleProcess AUTOTUNE benchmarking takes 0.3723 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:31:38.5669160Z Autotune Choices Stats: 2025-09-07T10:31:38.5670376Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_7412", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:31:38.5714063Z AUTOTUNE mm(512x128, 128x512) 2025-09-07T10:31:38.5714385Z strides: [1, 512], [512, 1] 2025-09-07T10:31:38.5714681Z dtypes: torch.float16, torch.float16 2025-09-07T10:31:38.5715463Z triton_mm_7412 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:38.5716235Z mm 0.0092 ms 88.9% 2025-09-07T10:31:38.5716925Z triton_mm_7405 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 2025-09-07T10:31:38.5718115Z triton_mm_7406 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 2025-09-07T10:31:38.5719290Z triton_mm_7408 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 2025-09-07T10:31:38.5720460Z triton_mm_7411 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 2025-09-07T10:31:38.5721632Z triton_mm_7413 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:38.5722791Z triton_mm_7414 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:31:38.5724180Z triton_mm_7415 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:38.5725365Z triton_mm_7416 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:38.5726385Z SingleProcess AUTOTUNE benchmarking takes 0.2382 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:31:39.0512356Z Autotune Choices Stats: 2025-09-07T10:31:39.0513579Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_7441", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:31:39.0556991Z AUTOTUNE mm(512x128, 128x128) 2025-09-07T10:31:39.0557303Z strides: [1, 512], [128, 1] 2025-09-07T10:31:39.0557601Z dtypes: torch.float16, torch.float16 2025-09-07T10:31:39.0558364Z triton_mm_7441 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:31:39.0559559Z triton_mm_7442 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:31:39.0560911Z triton_mm_7443 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:31:39.0562108Z triton_mm_7444 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:39.0563486Z triton_mm_7447 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 2025-09-07T10:31:39.0564681Z triton_mm_7448 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:39.0565437Z mm 0.0092 ms 88.9% 2025-09-07T10:31:39.0566117Z triton_mm_7449 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:39.0567295Z triton_mm_7450 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:31:39.0568450Z triton_mm_7451 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:39.0569478Z SingleProcess AUTOTUNE benchmarking takes 0.2373 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:31:39.4950478Z Autotune Choices Stats: 2025-09-07T10:31:39.4951977Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.008191999979317188, "best_triton_pos": 1, "best_triton_time": 0.008191999979317188, "best_triton_kernel": "triton_mm_7477", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4"} 2025-09-07T10:31:39.4995212Z AUTOTUNE mm(128x128, 128x512) 2025-09-07T10:31:39.4995519Z strides: [1, 128], [512, 1] 2025-09-07T10:31:39.4995818Z dtypes: torch.float16, torch.float16 2025-09-07T10:31:39.4996117Z mm 0.0082 ms 100.0% 2025-09-07T10:31:39.4996826Z triton_mm_7477 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:31:39.4998034Z triton_mm_7478 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:31:39.4999213Z triton_mm_7479 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:31:39.5000408Z triton_mm_7480 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:39.5001597Z triton_mm_7483 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 2025-09-07T10:31:39.5002768Z triton_mm_7484 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:39.5004668Z triton_mm_7485 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:39.5005851Z triton_mm_7486 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:31:39.5007186Z triton_mm_7487 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:39.5008219Z SingleProcess AUTOTUNE benchmarking takes 0.2371 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:31:42.2677448Z Autotune Choices Stats: 2025-09-07T10:31:42.2678668Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_7995", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:31:42.2724552Z AUTOTUNE mm(128x128, 128x512) 2025-09-07T10:31:42.2724858Z strides: [128, 1], [512, 1] 2025-09-07T10:31:42.2725154Z dtypes: torch.float16, torch.float16 2025-09-07T10:31:42.2725927Z triton_mm_7995 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:31:42.2727132Z triton_mm_7996 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:31:42.2728307Z triton_mm_7997 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:31:42.2729501Z triton_mm_7998 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:42.2730672Z triton_mm_8001 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 2025-09-07T10:31:42.2731856Z triton_mm_8002 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:42.2732604Z mm 0.0092 ms 88.9% 2025-09-07T10:31:42.2733291Z triton_mm_8003 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:42.2734465Z triton_mm_8004 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:31:42.2735639Z triton_mm_8005 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:42.2736640Z SingleProcess AUTOTUNE benchmarking takes 0.2377 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:31:46.1258667Z Autotune Choices Stats: 2025-09-07T10:31:46.1259904Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_7390", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:31:46.1307080Z AUTOTUNE mm(128x512, 512x512) 2025-09-07T10:31:46.1307404Z strides: [512, 1], [512, 1] 2025-09-07T10:31:46.1311930Z dtypes: torch.float16, torch.float16 2025-09-07T10:31:46.1312714Z triton_mm_7390 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:46.1313920Z triton_mm_7394 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:46.1314664Z mm 0.0113 ms 90.9% 2025-09-07T10:31:46.1315564Z triton_mm_7387 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:31:46.1316753Z triton_mm_7388 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:31:46.1317910Z triton_mm_7389 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:31:46.1319088Z triton_mm_7393 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:31:46.1320267Z triton_mm_7397 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:46.1321446Z triton_mm_7396 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:31:46.1322621Z triton_mm_7399 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:31:46.1323924Z SingleProcess AUTOTUNE benchmarking takes 0.2499 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:31:46.6616975Z Autotune Choices Stats: 2025-09-07T10:31:46.6618541Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.008191999979317188, "best_triton_pos": 1, "best_triton_time": 0.008191999979317188, "best_triton_kernel": "triton_mm_7765", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4"} 2025-09-07T10:31:46.6664706Z AUTOTUNE mm(128x128, 128x128) 2025-09-07T10:31:46.6665013Z strides: [1, 128], [128, 1] 2025-09-07T10:31:46.6665337Z dtypes: torch.float16, torch.float16 2025-09-07T10:31:46.6665634Z mm 0.0082 ms 100.0% 2025-09-07T10:31:46.6666342Z triton_mm_7765 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:31:46.6667549Z triton_mm_7766 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:31:46.6668736Z triton_mm_7767 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:31:46.6669924Z triton_mm_7768 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:46.6671125Z triton_mm_7771 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 2025-09-07T10:31:46.6672303Z triton_mm_7772 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:46.6673837Z triton_mm_7770 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 2025-09-07T10:31:46.6675015Z triton_mm_7773 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:46.6676191Z triton_mm_7774 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:31:46.6677373Z SingleProcess AUTOTUNE benchmarking takes 0.2346 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:31:47.1195437Z Autotune Choices Stats: 2025-09-07T10:31:47.1196905Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.008191999979317188, "best_triton_pos": 1, "best_triton_time": 0.008191999979317188, "best_triton_kernel": "triton_mm_7905", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4"} 2025-09-07T10:31:47.1244449Z AUTOTUNE mm(128x128, 128x128) 2025-09-07T10:31:47.1244779Z strides: [128, 1], [128, 1] 2025-09-07T10:31:47.1245082Z dtypes: torch.float16, torch.float16 2025-09-07T10:31:47.1245397Z mm 0.0082 ms 100.0% 2025-09-07T10:31:47.1246101Z triton_mm_7905 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:31:47.1247328Z triton_mm_7906 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:31:47.1248527Z triton_mm_7907 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:31:47.1249739Z triton_mm_7908 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:47.1250932Z triton_mm_7911 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 2025-09-07T10:31:47.1252132Z triton_mm_7912 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:47.1253319Z triton_mm_7910 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 2025-09-07T10:31:47.1254487Z triton_mm_7913 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:47.1255668Z triton_mm_7914 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:31:47.1256684Z SingleProcess AUTOTUNE benchmarking takes 0.2444 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:31:48.1760726Z Autotune Choices Stats: 2025-09-07T10:31:48.1762266Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.009216000325977802, "best_triton_pos": 1, "best_triton_time": 0.009216000325977802, "best_triton_kernel": "triton_mm_7570", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:31:48.1808013Z AUTOTUNE mm(128x512, 512x128) 2025-09-07T10:31:48.1808383Z strides: [512, 1], [128, 1] 2025-09-07T10:31:48.1809013Z dtypes: torch.float16, torch.float16 2025-09-07T10:31:48.1809328Z mm 0.0092 ms 100.0% 2025-09-07T10:31:48.1810044Z triton_mm_7570 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:48.1811237Z triton_mm_7567 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 2025-09-07T10:31:48.1812589Z triton_mm_7568 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 2025-09-07T10:31:48.1813755Z triton_mm_7569 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 2025-09-07T10:31:48.1814914Z triton_mm_7574 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 2025-09-07T10:31:48.1816093Z triton_mm_7573 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 2025-09-07T10:31:48.1817269Z triton_mm_7577 0.0123 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:48.1818515Z triton_mm_7576 0.0133 ms 69.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:31:48.1819698Z triton_mm_7579 0.0133 ms 69.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:31:48.1820718Z SingleProcess AUTOTUNE benchmarking takes 0.2467 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:31:54.6785547Z Autotune Choices Stats: 2025-09-07T10:31:54.6787021Z {"num_choices": 22, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.07168000191450119, "best_triton_pos": 4, "best_triton_time": 0.29286399483680725, "best_triton_kernel": "triton_mm_7372", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:31:54.6842448Z AUTOTUNE mm(128x30522, 30522x512) 2025-09-07T10:31:54.6842929Z strides: [30528, 1], [1, 30528] 2025-09-07T10:31:54.6843239Z dtypes: torch.float16, torch.float16 2025-09-07T10:31:54.6843554Z mm 0.0717 ms 100.0% 2025-09-07T10:31:54.6843848Z decompose_k_mm_3_split_1 0.1280 ms 56.0% k_split=3 2025-09-07T10:31:54.6844256Z decompose_k_mm_6_split_2 0.2048 ms 35.0% k_split=6 2025-09-07T10:31:54.6844679Z decompose_k_mm_2_split_0 0.2857 ms 25.1% k_split=2 2025-09-07T10:31:54.6845476Z triton_mm_7372 0.2929 ms 24.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:54.6846668Z triton_mm_7369 0.3113 ms 23.0% 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 2025-09-07T10:31:54.6847843Z triton_mm_7376 0.3994 ms 17.9% 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 2025-09-07T10:31:54.6849027Z triton_mm_7371 0.4198 ms 17.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:31:54.6850200Z triton_mm_7370 0.4209 ms 17.0% 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 2025-09-07T10:31:54.6851718Z triton_mm_7375 0.4239 ms 16.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:31:54.6852734Z SingleProcess AUTOTUNE benchmarking takes 1.1362 seconds and 0.0003 seconds precompiling for 22 choices 2025-09-07T10:31:54.9128308Z Autotune Choices Stats: 2025-09-07T10:31:54.9129922Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_7784", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:31:54.9182977Z AUTOTUNE bmm(4x128x128, 4x128x32) 2025-09-07T10:31:54.9183332Z strides: [16384, 1, 128], [32, 128, 1] 2025-09-07T10:31:54.9183646Z dtypes: torch.float16, torch.float16 2025-09-07T10:31:54.9184451Z triton_bmm_7784 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:54.9185213Z bmm 0.0082 ms 87.5% 2025-09-07T10:31:54.9185912Z triton_bmm_7785 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:31:54.9187115Z triton_bmm_7786 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:54.9188310Z triton_bmm_7789 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:31:54.9189484Z triton_bmm_7790 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:54.9190675Z triton_bmm_7791 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:31:54.9191847Z triton_bmm_7792 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:54.9193043Z triton_bmm_7793 0.0082 ms 87.5% 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=4, num_warps=4 2025-09-07T10:31:54.9194239Z triton_bmm_7794 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:54.9195274Z SingleProcess AUTOTUNE benchmarking takes 0.2280 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:31:55.1389481Z Autotune Choices Stats: 2025-09-07T10:31:55.1390935Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "bmm", "best_time": 0.008191999979317188, "best_triton_pos": 1, "best_triton_time": 0.008191999979317188, "best_triton_kernel": "triton_bmm_7817", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4"} 2025-09-07T10:31:55.1439380Z AUTOTUNE bmm(4x32x128, 4x128x128) 2025-09-07T10:31:55.1439746Z strides: [32, 1, 128], [16384, 128, 1] 2025-09-07T10:31:55.1440077Z dtypes: torch.float16, torch.float16 2025-09-07T10:31:55.1440386Z bmm 0.0082 ms 100.0% 2025-09-07T10:31:55.1441095Z triton_bmm_7817 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:31:55.1442570Z triton_bmm_7818 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:31:55.1443977Z triton_bmm_7819 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:55.1445171Z triton_bmm_7820 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:55.1446522Z triton_bmm_7823 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:31:55.1447729Z triton_bmm_7824 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:31:55.1448933Z triton_bmm_7825 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:55.1450130Z triton_bmm_7826 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:31:55.1451335Z triton_bmm_7827 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:31:55.1452363Z SingleProcess AUTOTUNE benchmarking takes 0.2234 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:32:08.4419462Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T10:32:08.4420774Z pred = mod(**cloned_inputs) 2025-09-07T10:32:08.4421522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 976, in forward 2025-09-07T10:32:08.4422289Z outputs = self.mobilebert( 2025-09-07T10:32:08.4423020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 791, in forward 2025-09-07T10:32:08.4423776Z embedding_output = self.embeddings( 2025-09-07T10:32:08.4424539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 213, in forward 2025-09-07T10:32:08.4425400Z token_type_embeddings = self.token_type_embeddings(token_type_ids) 2025-09-07T10:32:08.4425732Z 2025-09-07T10:32:08.4425737Z 2025-09-07T10:32:10.8669166Z pass 2025-09-07T10:32:20.3503630Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:32:20.3505086Z import pynvml # type: ignore[import] 2025-09-07T10:32:23.9815273Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T10:32:23.9816851Z from pkg_resources import resource_filename 2025-09-07T10:32:24.5992583Z 2025-09-07T10:32:26.1874209Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:32:26.1874609Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:32:26.1874959Z cuda train MobileBertForQuestionAnswering 2025-09-07T10:33:53.3938826Z Autotune Choices Stats: 2025-09-07T10:33:53.3941569Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_7316", "best_kernel_desc": "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", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:33:53.3990387Z AUTOTUNE mm(128x512, 512x2) 2025-09-07T10:33:53.3991163Z strides: [512, 1], [1, 512] 2025-09-07T10:33:53.3991826Z dtypes: torch.float16, torch.float16 2025-09-07T10:33:53.3993687Z triton_mm_7316 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:33:53.3997172Z triton_mm_7318 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:33:53.4000082Z triton_mm_7321 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:33:53.4003338Z triton_mm_7324 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:33:53.4006178Z triton_mm_7315 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:33:53.4009059Z triton_mm_7317 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:33:53.4011883Z triton_mm_7323 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:33:53.4014749Z triton_mm_7328 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:33:53.4017704Z triton_mm_7329 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:33:53.4019498Z mm 0.0113 ms 81.8% 2025-09-07T10:33:53.4020753Z SingleProcess AUTOTUNE benchmarking takes 0.2301 seconds and 0.0003 seconds precompiling for 17 choices 2025-09-07T10:34:49.1155775Z Autotune Choices Stats: 2025-09-07T10:34:49.1157323Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "mm", "best_time": 0.0071680000983178616, "best_triton_pos": 1, "best_triton_time": 0.0071680000983178616, "best_triton_kernel": "triton_mm_7330", "best_triton_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"} 2025-09-07T10:34:49.1209515Z AUTOTUNE mm(128x2, 2x512) 2025-09-07T10:34:49.1209803Z strides: [2, 1], [512, 1] 2025-09-07T10:34:49.1210098Z dtypes: torch.float16, torch.float16 2025-09-07T10:34:49.1210409Z mm 0.0072 ms 100.0% 2025-09-07T10:34:49.1211118Z triton_mm_7330 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 2025-09-07T10:34:49.1212297Z triton_mm_7331 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:34:49.1213490Z triton_mm_7332 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 2025-09-07T10:34:49.1214679Z triton_mm_7333 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 2025-09-07T10:34:49.1216256Z triton_mm_7334 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 2025-09-07T10:34:49.1217490Z triton_mm_7335 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 2025-09-07T10:34:49.1218678Z triton_mm_7336 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 2025-09-07T10:34:49.1220026Z triton_mm_7337 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 2025-09-07T10:34:49.1221241Z triton_mm_7338 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:34:49.1222270Z SingleProcess AUTOTUNE benchmarking takes 0.2134 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:34:53.2976724Z Autotune Choices Stats: 2025-09-07T10:34:53.2978021Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_7348", "best_kernel_desc": "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", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:34:53.3028065Z AUTOTUNE mm(2x128, 128x512) 2025-09-07T10:34:53.3028377Z strides: [1, 2], [512, 1] 2025-09-07T10:34:53.3028691Z dtypes: torch.float16, torch.float16 2025-09-07T10:34:53.3029437Z triton_mm_7348 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:34:53.3030640Z triton_mm_7349 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:34:53.3031839Z triton_mm_7347 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:34:53.3033012Z triton_mm_7350 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:34:53.3034186Z triton_mm_7353 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:34:53.3035353Z triton_mm_7355 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:34:53.3036533Z triton_mm_7356 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:34:53.3037706Z triton_mm_7357 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:34:53.3038863Z triton_mm_7359 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:34:53.3040032Z triton_mm_7360 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:34:53.3041043Z SingleProcess AUTOTUNE benchmarking takes 0.2214 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:35:07.3258818Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T10:35:07.3260508Z pred = mod(**cloned_inputs) 2025-09-07T10:35:07.3261253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 1242, in forward 2025-09-07T10:35:07.3262030Z outputs = self.mobilebert( 2025-09-07T10:35:07.3262744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 791, in forward 2025-09-07T10:35:07.3263702Z embedding_output = self.embeddings( 2025-09-07T10:35:07.3264461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 213, in forward 2025-09-07T10:35:07.3265328Z token_type_embeddings = self.token_type_embeddings(token_type_ids) 2025-09-07T10:35:07.3265661Z 2025-09-07T10:35:07.3265666Z 2025-09-07T10:35:09.3155909Z pass 2025-09-07T10:35:18.5429726Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:35:18.5431149Z import pynvml # type: ignore[import] 2025-09-07T10:35:21.9884279Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T10:35:21.9885850Z from pkg_resources import resource_filename 2025-09-07T10:35:22.6042388Z 2025-09-07T10:35:25.2116346Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:35:25.2116758Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:35:25.2117094Z cuda train OPTForCausalLM 2025-09-07T10:35:35.6556692Z Autotune Choices Stats: 2025-09-07T10:35:35.6558189Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.053247999399900436, "best_triton_pos": 1, "best_triton_time": 0.058368001133203506, "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"} 2025-09-07T10:35:35.6607815Z AUTOTUNE mm(2048x768, 768x3072) 2025-09-07T10:35:35.6608133Z strides: [768, 1], [1, 768] 2025-09-07T10:35:35.6608443Z dtypes: torch.float16, torch.float16 2025-09-07T10:35:35.6608752Z mm 0.0532 ms 100.0% 2025-09-07T10:35:35.6609448Z triton_mm_88 0.0584 ms 91.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:35.6610646Z triton_mm_87 0.0625 ms 85.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:35.6611811Z triton_mm_83 0.0645 ms 82.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:35.6612976Z triton_mm_89 0.0645 ms 82.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:35:35.6614128Z triton_mm_81 0.0655 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 2025-09-07T10:35:35.6615286Z triton_mm_84 0.0655 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 2025-09-07T10:35:35.6616802Z triton_mm_86 0.0737 ms 72.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:35:35.6618039Z triton_mm_85 0.0768 ms 69.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:35:35.6619203Z triton_mm_82 0.0778 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 2025-09-07T10:35:35.6620388Z SingleProcess AUTOTUNE benchmarking takes 0.4554 seconds and 1.4060 seconds precompiling for 19 choices 2025-09-07T10:35:37.2694632Z Autotune Choices Stats: 2025-09-07T10:35:37.2695831Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_17", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.021503999829292297, "best_triton_pos": 0} 2025-09-07T10:35:37.2745621Z AUTOTUNE mm(2048x768, 768x768) 2025-09-07T10:35:37.2745923Z strides: [768, 1], [1, 768] 2025-09-07T10:35:37.2746219Z dtypes: torch.float16, torch.float16 2025-09-07T10:35:37.2746969Z triton_mm_17 0.0215 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:35:37.2748163Z triton_mm_11 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 2025-09-07T10:35:37.2749335Z triton_mm_16 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=3, num_warps=4 2025-09-07T10:35:37.2750504Z triton_mm_9 0.0236 ms 91.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:37.2751674Z triton_mm_12 0.0236 ms 91.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:37.2752405Z mm 0.0246 ms 87.5% 2025-09-07T10:35:37.2753069Z triton_mm_10 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 2025-09-07T10:35:37.2754227Z triton_mm_13 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 2025-09-07T10:35:37.2755378Z triton_mm_15 0.0256 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:37.2756542Z triton_mm_7 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 2025-09-07T10:35:37.2757542Z SingleProcess AUTOTUNE benchmarking takes 0.2912 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:35:37.5947265Z Autotune Choices Stats: 2025-09-07T10:35:37.5948775Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.021503999829292297, "best_triton_pos": 1, "best_triton_time": 0.021503999829292297, "best_triton_kernel": "triton_mm_71", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:35:37.6001873Z AUTOTUNE addmm(2048x768, 2048x768, 768x768) 2025-09-07T10:35:37.6002203Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:35:37.6002557Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:35:37.6003477Z bias_addmm 0.0215 ms 100.0% 2025-09-07T10:35:37.6004220Z triton_mm_71 0.0215 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:35:37.6005410Z triton_mm_65 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 2025-09-07T10:35:37.6006730Z triton_mm_70 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 2025-09-07T10:35:37.6007896Z triton_mm_63 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 2025-09-07T10:35:37.6009055Z triton_mm_66 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 2025-09-07T10:35:37.6010222Z triton_mm_64 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 2025-09-07T10:35:37.6011379Z triton_mm_67 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 2025-09-07T10:35:37.6012546Z triton_mm_69 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 2025-09-07T10:35:37.6013702Z triton_mm_61 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 2025-09-07T10:35:37.6014690Z SingleProcess AUTOTUNE benchmarking takes 0.3219 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:35:38.0543919Z Autotune Choices Stats: 2025-09-07T10:35:38.0545405Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.05119999870657921, "best_triton_pos": 1, "best_triton_time": 0.06143999844789505, "best_triton_kernel": "triton_mm_106", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:35:38.0594632Z AUTOTUNE addmm(2048x768, 2048x3072, 3072x768) 2025-09-07T10:35:38.0594983Z strides: [0, 1], [3072, 1], [1, 3072] 2025-09-07T10:35:38.0595354Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:35:38.0595733Z bias_addmm 0.0512 ms 100.0% 2025-09-07T10:35:38.0596458Z triton_mm_106 0.0614 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:38.0597655Z triton_mm_101 0.0655 ms 78.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:38.0598828Z triton_mm_107 0.0666 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:35:38.0599574Z addmm 0.0686 ms 74.6% 2025-09-07T10:35:38.0600255Z triton_mm_102 0.0758 ms 67.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:38.0601425Z triton_mm_99 0.0768 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=3, num_warps=4 2025-09-07T10:35:38.0602600Z triton_mm_105 0.0768 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:38.0604256Z triton_mm_100 0.0788 ms 64.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:35:38.0605423Z triton_mm_103 0.0809 ms 63.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:35:38.0606436Z SingleProcess AUTOTUNE benchmarking takes 0.4582 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:35:42.0629008Z Autotune Choices Stats: 2025-09-07T10:35:42.0631209Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.6676480174064636, "best_triton_pos": 1, "best_triton_time": 0.8980479836463928, "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"} 2025-09-07T10:35:42.0683910Z AUTOTUNE mm(2048x768, 768x50272) 2025-09-07T10:35:42.0684259Z strides: [768, 1], [1, 768] 2025-09-07T10:35:42.0684559Z dtypes: torch.float16, torch.float16 2025-09-07T10:35:42.0684865Z mm 0.6676 ms 100.0% 2025-09-07T10:35:42.0685576Z triton_mm_124 0.8980 ms 74.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:42.0686775Z triton_mm_123 0.9646 ms 69.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:42.0687942Z triton_mm_117 0.9759 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=3, num_warps=4 2025-09-07T10:35:42.0689101Z triton_mm_119 1.0609 ms 62.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:42.0690276Z triton_mm_125 1.0824 ms 61.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:35:42.0691447Z triton_mm_120 1.0895 ms 61.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:42.0692614Z triton_mm_122 1.2124 ms 55.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:35:42.0693777Z triton_mm_121 1.2810 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 2025-09-07T10:35:42.0694934Z triton_mm_118 1.3179 ms 50.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:35:42.0695942Z SingleProcess AUTOTUNE benchmarking takes 0.8032 seconds and 1.2387 seconds precompiling for 19 choices 2025-09-07T10:35:44.5734639Z Autotune Choices Stats: 2025-09-07T10:35:44.5736174Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.5877760052680969, "best_triton_pos": 1, "best_triton_time": 0.8335360288619995, "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"} 2025-09-07T10:35:44.5794323Z AUTOTUNE mm(50272x2048, 2048x768) 2025-09-07T10:35:44.5794637Z strides: [1, 50304], [768, 1] 2025-09-07T10:35:44.5794935Z dtypes: torch.float16, torch.float16 2025-09-07T10:35:44.5795245Z mm 0.5878 ms 100.0% 2025-09-07T10:35:44.5796353Z triton_mm_142 0.8335 ms 70.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:44.5797544Z triton_mm_141 0.8530 ms 68.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:44.5798711Z triton_mm_135 0.9503 ms 61.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:44.5800038Z triton_mm_138 0.9974 ms 58.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:44.5801207Z triton_mm_137 1.0015 ms 58.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:44.5802384Z triton_mm_140 1.0619 ms 55.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:35:44.5803876Z triton_mm_143 1.0650 ms 55.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:35:44.5805046Z triton_mm_139 1.1551 ms 50.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:35:44.5806219Z triton_mm_136 1.2268 ms 47.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:35:44.5807217Z SingleProcess AUTOTUNE benchmarking takes 0.7996 seconds and 0.6596 seconds precompiling for 19 choices 2025-09-07T10:35:45.6559425Z Autotune Choices Stats: 2025-09-07T10:35:45.6560910Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.5857279896736145, "best_triton_pos": 1, "best_triton_time": 0.9768959879875183, "best_triton_kernel": "triton_mm_160", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:35:45.6614720Z AUTOTUNE mm(2048x50272, 50272x768) 2025-09-07T10:35:45.6615036Z strides: [50304, 1], [768, 1] 2025-09-07T10:35:45.6615345Z dtypes: torch.float16, torch.float16 2025-09-07T10:35:45.6615646Z mm 0.5857 ms 100.0% 2025-09-07T10:35:45.6616388Z triton_mm_160 0.9769 ms 60.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:45.6617637Z triton_mm_161 1.0179 ms 57.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:35:45.6618848Z triton_mm_159 1.0199 ms 57.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:45.6620028Z triton_mm_155 1.0496 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 2025-09-07T10:35:45.6621204Z triton_mm_153 1.1162 ms 52.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:45.6622352Z triton_mm_157 1.3660 ms 42.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:35:45.6623518Z triton_mm_154 1.3804 ms 42.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:35:45.6625030Z triton_mm_156 1.3834 ms 42.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:45.6626196Z triton_mm_151 1.4469 ms 40.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:35:45.6627208Z SingleProcess AUTOTUNE benchmarking takes 0.8173 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:35:48.5454128Z Autotune Choices Stats: 2025-09-07T10:35:48.5455591Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_178", "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": 0.05734400078654289, "best_triton_pos": 0} 2025-09-07T10:35:48.5511908Z AUTOTUNE mm(2048x768, 768x3072) 2025-09-07T10:35:48.5512397Z strides: [768, 1], [3072, 1] 2025-09-07T10:35:48.5512791Z dtypes: torch.float16, torch.float16 2025-09-07T10:35:48.5514022Z triton_mm_178 0.0573 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:48.5515255Z triton_mm_173 0.0584 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:48.5516473Z triton_mm_171 0.0594 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:48.5517738Z triton_mm_174 0.0604 ms 94.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:48.5518941Z triton_mm_177 0.0604 ms 94.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:48.5519689Z mm 0.0645 ms 88.9% 2025-09-07T10:35:48.5520403Z triton_mm_179 0.0666 ms 86.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:35:48.5521583Z triton_mm_172 0.0696 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:35:48.5522757Z triton_mm_176 0.0717 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:35:48.5524529Z triton_mm_175 0.0737 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:35:48.5525566Z SingleProcess AUTOTUNE benchmarking takes 0.4274 seconds and 0.1958 seconds precompiling for 19 choices 2025-09-07T10:35:49.4110518Z Autotune Choices Stats: 2025-09-07T10:35:49.4112496Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.05632000043988228, "best_triton_pos": 1, "best_triton_time": 0.062463998794555664, "best_triton_kernel": "triton_mm_189", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:35:49.4217313Z AUTOTUNE mm(768x2048, 2048x3072) 2025-09-07T10:35:49.4218130Z strides: [1, 768], [3072, 1] 2025-09-07T10:35:49.4218634Z dtypes: torch.float16, torch.float16 2025-09-07T10:35:49.4219077Z mm 0.0563 ms 100.0% 2025-09-07T10:35:49.4219948Z triton_mm_189 0.0625 ms 90.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:49.4221690Z triton_mm_191 0.0655 ms 85.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:49.4222955Z triton_mm_192 0.0676 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:49.4226937Z triton_mm_196 0.0696 ms 80.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:49.4228414Z triton_mm_193 0.0707 ms 79.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:35:49.4229795Z triton_mm_195 0.0727 ms 77.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:49.4231041Z triton_mm_187 0.0809 ms 69.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:35:49.4232296Z triton_mm_190 0.0809 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=4, num_warps=8 2025-09-07T10:35:49.4233576Z triton_mm_197 0.0829 ms 67.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:35:49.4234687Z SingleProcess AUTOTUNE benchmarking takes 0.5473 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:35:50.1317180Z Autotune Choices Stats: 2025-09-07T10:35:50.1318731Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.05632000043988228, "best_triton_pos": 1, "best_triton_time": 0.06143999844789505, "best_triton_kernel": "triton_mm_225", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:35:50.1375035Z AUTOTUNE mm(3072x2048, 2048x768) 2025-09-07T10:35:50.1375348Z strides: [1, 3072], [768, 1] 2025-09-07T10:35:50.1375652Z dtypes: torch.float16, torch.float16 2025-09-07T10:35:50.1375968Z mm 0.0563 ms 100.0% 2025-09-07T10:35:50.1376671Z triton_mm_225 0.0614 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 2025-09-07T10:35:50.1377928Z triton_mm_227 0.0625 ms 90.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:50.1379124Z triton_mm_228 0.0645 ms 87.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:50.1380303Z triton_mm_232 0.0686 ms 82.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:50.1381486Z triton_mm_229 0.0707 ms 79.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:35:50.1382674Z triton_mm_231 0.0717 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:50.1383832Z triton_mm_226 0.0758 ms 74.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:35:50.1385313Z triton_mm_223 0.0829 ms 67.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:35:50.1386481Z triton_mm_233 0.0829 ms 67.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:35:50.1387500Z SingleProcess AUTOTUNE benchmarking takes 0.4617 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:35:50.7439123Z Autotune Choices Stats: 2025-09-07T10:35:50.7440971Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.023552000522613525, "best_triton_pos": 1, "best_triton_time": 0.030719999223947525, "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"} 2025-09-07T10:35:50.7493978Z AUTOTUNE mm(768x2048, 2048x768) 2025-09-07T10:35:50.7494292Z strides: [1, 768], [768, 1] 2025-09-07T10:35:50.7494585Z dtypes: torch.float16, torch.float16 2025-09-07T10:35:50.7494883Z mm 0.0236 ms 100.0% 2025-09-07T10:35:50.7495577Z triton_mm_263 0.0307 ms 76.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:50.7496773Z triton_mm_260 0.0317 ms 74.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:35:50.7497989Z triton_mm_259 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 2025-09-07T10:35:50.7499148Z triton_mm_262 0.0338 ms 69.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:35:50.7500323Z triton_mm_265 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 2025-09-07T10:35:50.7501484Z triton_mm_261 0.0399 ms 59.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:50.7502641Z triton_mm_264 0.0399 ms 59.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:50.7503806Z triton_mm_268 0.0410 ms 57.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:50.7504966Z triton_mm_253 0.0420 ms 56.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:35:50.7505985Z SingleProcess AUTOTUNE benchmarking takes 0.3103 seconds and 0.2443 seconds precompiling for 19 choices 2025-09-07T10:35:51.8242421Z Autotune Choices Stats: 2025-09-07T10:35:51.8244156Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.05734400078654289, "best_triton_pos": 1, "best_triton_time": 0.05939200147986412, "best_triton_kernel": "triton_mm_215", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:35:51.8299989Z AUTOTUNE mm(2048x3072, 3072x768) 2025-09-07T10:35:51.8300317Z strides: [3072, 1], [768, 1] 2025-09-07T10:35:51.8300618Z dtypes: torch.float16, torch.float16 2025-09-07T10:35:51.8300918Z mm 0.0573 ms 100.0% 2025-09-07T10:35:51.8301966Z triton_mm_215 0.0594 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=5, num_warps=8 2025-09-07T10:35:51.8303147Z triton_mm_209 0.0635 ms 90.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:51.8304327Z triton_mm_214 0.0635 ms 90.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:51.8305682Z triton_mm_207 0.0707 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 2025-09-07T10:35:51.8306858Z triton_mm_213 0.0727 ms 78.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:51.8308037Z triton_mm_210 0.0748 ms 76.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:51.8309204Z triton_mm_211 0.0768 ms 74.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:35:51.8310364Z triton_mm_208 0.0799 ms 71.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:35:51.8311525Z triton_mm_205 0.0840 ms 68.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:35:51.8312540Z SingleProcess AUTOTUNE benchmarking takes 0.4117 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:35:52.1076466Z Autotune Choices Stats: 2025-09-07T10:35:52.1077601Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_250", "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": 0.021503999829292297, "best_triton_pos": 0} 2025-09-07T10:35:52.1133345Z AUTOTUNE mm(2048x768, 768x768) 2025-09-07T10:35:52.1133667Z strides: [768, 1], [768, 1] 2025-09-07T10:35:52.1133961Z dtypes: torch.float16, torch.float16 2025-09-07T10:35:52.1134741Z triton_mm_250 0.0215 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:52.1135943Z triton_mm_251 0.0215 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:35:52.1137119Z triton_mm_245 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 2025-09-07T10:35:52.1138350Z triton_mm_246 0.0236 ms 91.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:35:52.1139518Z triton_mm_243 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 2025-09-07T10:35:52.1140680Z triton_mm_244 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 2025-09-07T10:35:52.1141838Z triton_mm_249 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 2025-09-07T10:35:52.1142804Z mm 0.0256 ms 84.0% 2025-09-07T10:35:52.1143480Z triton_mm_247 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 2025-09-07T10:35:52.1144630Z triton_mm_241 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 2025-09-07T10:35:52.1145636Z SingleProcess AUTOTUNE benchmarking takes 0.2825 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:35:54.0855424Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/opt/modeling_opt.py", line 76, in forward 2025-09-07T10:35:54.0856665Z return super().forward(position_ids + self.offset) 2025-09-07T10:35:54.0856934Z 2025-09-07T10:35:54.0856953Z 2025-09-07T10:35:55.0146428Z pass 2025-09-07T10:35:57.9116154Z accuracy pass_rate=100.00% 2025-09-07T10:35:57.9121374Z calls_captured gmean=645.68x mean=1306.444x 2025-09-07T10:35:57.9126041Z unique_graphs gmean=2.46x mean=3.556x 2025-09-07T10:35:57.9130121Z graph_breaks gmean=4.93x mean=5.222x 2025-09-07T10:35:57.9134217Z unique_graph_breaks gmean=4.04x mean=4.111x 2025-09-07T10:35:57.9138431Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:35:57.9142507Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:35:57.9146556Z cudagraph_skips gmean=1.22x mean=1.333x 2025-09-07T10:35:57.9147819Z compilation_latency mean=105.306 seconds 2025-09-07T10:35:59.1140086Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *cudagraphs_low_precision-true* ]] 2025-09-07T10:35:59.1141591Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:35:59.1141923Z + for target in "${targets[@]}" 2025-09-07T10:35:59.1142229Z + target_flag=('--performance') 2025-09-07T10:35:59.1142524Z + local target_flag 2025-09-07T10:35:59.1142799Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T10:35:59.1143140Z + target_flag+=(--cold-start-latency) 2025-09-07T10:35:59.1144498Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freezing-true* ]] 2025-09-07T10:35:59.1146869Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *default-true* ]] 2025-09-07T10:35:59.1149393Z + python benchmarks/dynamo/huggingface.py --performance --cold-start-latency --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 3 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance.csv 2025-09-07T10:36:00.2454079Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:36:00.2455481Z import pynvml # type: ignore[import] 2025-09-07T10:36:03.6813999Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T10:36:03.6815557Z from pkg_resources import resource_filename 2025-09-07T10:36:05.8118881Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:36:05.8122131Z import pynvml # type: ignore[import] 2025-09-07T10:36:09.2216442Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T10:36:09.2219915Z from pkg_resources import resource_filename 2025-09-07T10:36:09.8724514Z 2025-09-07T10:36:22.5909122Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:36:22.5909519Z loading model: 0it [00:12, ?it/s] 2025-09-07T10:36:22.5909866Z cuda train M2M100ForConditionalGeneration 2025-09-07T10:36:40.5557686Z 2025-09-07T10:36:40.7272193Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:39:54.1484952Z 2025-09-07T10:39:54.3670898Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:42:38.6250322Z 2025-09-07T10:42:38.9455487Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:45:20.6181720Z 2025-09-07T10:45:20.9232519Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:55:03.9336258Z 2025-09-07T10:55:04.1967261Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:57:50.0255731Z 2025-09-07T10:57:50.3295895Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:00:36.2880182Z 2025-09-07T11:00:36.6838343Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:10:24.2435082Z 2025-09-07T11:10:24.5228207Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:13:09.0634856Z 2025-09-07T11:13:09.3771722Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:15:54.8639890Z 2025-09-07T11:15:55.2622346Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:27:45.0003810Z 2025-09-07T11:27:45.2117649Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:32:29.8401169Z 2025-09-07T11:32:30.0582222Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:37:11.9306888Z 2025-09-07T11:37:12.2392088Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T12:03:57.3694423Z 2025-09-07T12:03:57.6363709Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T12:07:08.4848391Z 2025-09-07T12:07:08.7877992Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T12:10:15.5920109Z 2025-09-07T12:10:16.0406644Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T14:25:38.0707229Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T14:25:38.0720103Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:25:38.0720488Z env: 2025-09-07T14:25:38.0720710Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:25:38.0721053Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:25:38.0721523Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:25:38.0722218Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:25:38.0722725Z ##[endgroup] 2025-09-07T14:25:38.0752965Z + [[ -n '' ]] 2025-09-07T14:25:38.0753321Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T14:25:38.3868755Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T14:25:39.2380383Z Collecting boto3==1.35.33 2025-09-07T14:25:39.2908880Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T14:25:39.3239593Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.1/139.1 KB 4.2 MB/s eta 0:00:00 2025-09-07T14:25:39.4880100Z Collecting psutil==7.0.0 2025-09-07T14:25:39.4918305Z 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) 2025-09-07T14:25:39.5064032Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 278.0/278.0 KB 21.5 MB/s eta 0:00:00 2025-09-07T14:25:39.5322447Z Collecting pynvml==12.0.0 2025-09-07T14:25:39.5368002Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T14:25:40.4646273Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T14:25:40.4684294Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T14:25:40.5800613Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.3/13.3 MB 118.3 MB/s eta 0:00:00 2025-09-07T14:25:40.6606125Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T14:25:40.6639457Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T14:25:40.7471058Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.2/83.2 KB 899.3 kB/s eta 0:00:00 2025-09-07T14:25:40.7733037Z Collecting jmespath<2.0.0,>=0.7.1 2025-09-07T14:25:40.7766294Z Downloading jmespath-1.0.1-py3-none-any.whl (20 kB) 2025-09-07T14:25:40.8285144Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T14:25:40.8340161Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T14:25:40.8407470Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.5/47.5 KB 7.7 MB/s eta 0:00:00 2025-09-07T14:25:40.8479127Z 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) 2025-09-07T14:25:40.8486895Z 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) 2025-09-07T14:25:41.2108584Z Installing collected packages: nvidia-ml-py, pynvml, psutil, jmespath, botocore, s3transfer, boto3 2025-09-07T14:25:41.2109305Z Attempting uninstall: nvidia-ml-py 2025-09-07T14:25:41.2115171Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T14:25:41.2152795Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T14:25:41.2176325Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T14:25:41.2885777Z Attempting uninstall: psutil 2025-09-07T14:25:41.2893760Z Found existing installation: psutil 5.9.8 2025-09-07T14:25:41.3041957Z Uninstalling psutil-5.9.8: 2025-09-07T14:25:41.3050548Z Successfully uninstalled psutil-5.9.8 2025-09-07T14:25:42.0484244Z 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 2025-09-07T14:25:42.1646616Z + DEVICE_NAME= 2025-09-07T14:25:42.1646897Z + DEVICE_TYPE= 2025-09-07T14:25:42.1647147Z + command -v nvidia-smi 2025-09-07T14:25:42.1647564Z + python3 -mpip install torch==2.7.1 2025-09-07T14:25:42.1647887Z /usr/bin/nvidia-smi 2025-09-07T14:25:42.4721953Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T14:25:42.7189112Z Collecting torch==2.7.1 2025-09-07T14:25:42.7708283Z Downloading torch-2.7.1-cp310-cp310-manylinux_2_28_x86_64.whl (821.2 MB) 2025-09-07T14:25:53.7455499Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 821.2/821.2 MB 1.4 MB/s eta 0:00:00 2025-09-07T14:25:55.9256049Z Collecting nvidia-curand-cu12==10.3.7.77 2025-09-07T14:25:55.9326020Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-09-07T14:25:56.3448069Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.3/56.3 MB 45.9 MB/s eta 0:00:00 2025-09-07T14:25:56.5288994Z Collecting networkx 2025-09-07T14:25:56.5325652Z Downloading networkx-3.4.2-py3-none-any.whl (1.7 MB) 2025-09-07T14:25:56.5515315Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 100.3 MB/s eta 0:00:00 2025-09-07T14:25:56.5800258Z Collecting nvidia-nccl-cu12==2.26.2 2025-09-07T14:25:56.5837830Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-09-07T14:25:58.9063556Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 201.3/201.3 MB 9.1 MB/s eta 0:00:00 2025-09-07T14:25:59.4395346Z Collecting triton==3.3.1 2025-09-07T14:25:59.4495173Z Downloading triton-3.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-09-07T14:26:00.7436086Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.6/155.6 MB 16.7 MB/s eta 0:00:00 2025-09-07T14:26:01.1560483Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-09-07T14:26:01.1619129Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-09-07T14:26:01.2337090Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.9/8.9 MB 127.7 MB/s eta 0:00:00 2025-09-07T14:26:01.2796097Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-09-07T14:26:01.2829195Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-09-07T14:26:01.4556389Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 87.3 MB/s eta 0:00:00 2025-09-07T14:26:01.5510899Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-09-07T14:26:01.5567636Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-09-07T14:26:01.5718139Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 85.9 MB/s eta 0:00:00 2025-09-07T14:26:01.5983515Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-09-07T14:26:01.6038099Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-09-07T14:26:06.6671082Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 393.1/393.1 MB 3.1 MB/s eta 0:00:00 2025-09-07T14:26:07.6794168Z Collecting sympy>=1.13.3 2025-09-07T14:26:07.6829264Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-09-07T14:26:07.7340210Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/6.3 MB 128.4 MB/s eta 0:00:00 2025-09-07T14:26:07.7768212Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-09-07T14:26:07.7840255Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-09-07T14:26:09.0058772Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 156.8/156.8 MB 15.9 MB/s eta 0:00:00 2025-09-07T14:26:09.4380792Z Collecting filelock 2025-09-07T14:26:09.4419550Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-09-07T14:26:09.4706555Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-09-07T14:26:09.4774601Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-09-07T14:26:09.6259247Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.7/19.7 MB 99.2 MB/s eta 0:00:00 2025-09-07T14:26:09.7020993Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-09-07T14:26:09.7083387Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-09-07T14:26:17.4658438Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 571.0/571.0 MB 2.1 MB/s eta 0:00:00 2025-09-07T14:26:18.8876987Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/grace/.local/lib/python3.10/site-packages (from torch==2.7.1) (4.15.0) 2025-09-07T14:26:19.0860830Z Collecting fsspec 2025-09-07T14:26:19.0900297Z Downloading fsspec-2025.9.0-py3-none-any.whl (199 kB) 2025-09-07T14:26:19.2447851Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.3/199.3 KB 1.2 MB/s eta 0:00:00 2025-09-07T14:26:19.3920256Z Collecting jinja2 2025-09-07T14:26:19.3963904Z Downloading jinja2-3.1.6-py3-none-any.whl (134 kB) 2025-09-07T14:26:19.5045901Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 134.9/134.9 KB 1.2 MB/s eta 0:00:00 2025-09-07T14:26:19.6494366Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-09-07T14:26:19.6587924Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-09-07T14:26:22.7415980Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 158.2/158.2 MB 4.3 MB/s eta 0:00:00 2025-09-07T14:26:23.2856149Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-09-07T14:26:23.2896747Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-09-07T14:26:26.4475546Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 216.6/216.6 MB 4.6 MB/s eta 0:00:00 2025-09-07T14:26:27.0138829Z Collecting nvidia-nvtx-cu12==12.6.77 2025-09-07T14:26:27.0173327Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-09-07T14:26:27.0243177Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 89.3/89.3 KB 15.6 MB/s eta 0:00:00 2025-09-07T14:26:27.0482347Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-09-07T14:26:27.0544195Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-09-07T14:26:29.0405491Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 200.2/200.2 MB 9.4 MB/s eta 0:00:00 2025-09-07T14:26:29.5626183Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-09-07T14:26:29.5664462Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-09-07T14:26:29.5899337Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 897.7/897.7 KB 42.7 MB/s eta 0:00:00 2025-09-07T14:26:29.6215745Z 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) 2025-09-07T14:26:29.6473139Z Collecting mpmath<1.4,>=1.1.0 2025-09-07T14:26:29.6507925Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-09-07T14:26:29.6626082Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 536.2/536.2 KB 54.0 MB/s eta 0:00:00 2025-09-07T14:26:29.8714055Z Collecting MarkupSafe>=2.0 2025-09-07T14:26:29.8755498Z Downloading MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20 kB) 2025-09-07T14:26:30.4931336Z 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 2025-09-07T14:26:35.4843891Z WARNING: The scripts proton and proton-viewer are installed in '/home/grace/.local/bin' which is not on PATH. 2025-09-07T14:26:35.4844864Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T14:26:39.6803133Z WARNING: The script isympy is installed in '/home/grace/.local/bin' which is not on PATH. 2025-09-07T14:26:39.6804295Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T14:27:16.9533874Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/grace/.local/bin' which is not on PATH. 2025-09-07T14:27:16.9534826Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T14:27:17.3668981Z 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 2025-09-07T14:27:17.9037781Z + echo DEVICE_NAME= 2025-09-07T14:27:17.9038474Z + echo DEVICE_TYPE= 2025-09-07T14:27:17.9084529Z ##[group]Run set -eux 2025-09-07T14:27:17.9084812Z set -eux 2025-09-07T14:27:17.9085044Z  2025-09-07T14:27:17.9085279Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T14:27:17.9085649Z  echo "Missing github-token input" 2025-09-07T14:27:17.9085986Z  exit 1 2025-09-07T14:27:17.9086224Z fi 2025-09-07T14:27:17.9099058Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:27:17.9099458Z env: 2025-09-07T14:27:17.9099683Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:17.9100029Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:17.9100640Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:17.9101243Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:17.9101759Z DEVICE_NAME: 2025-09-07T14:27:17.9101992Z DEVICE_TYPE: 2025-09-07T14:27:17.9102430Z GITHUB_TOKEN: *** 2025-09-07T14:27:17.9102658Z ##[endgroup] 2025-09-07T14:27:17.9214556Z + [[ -z *** ]] 2025-09-07T14:27:17.9422243Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T14:27:17.9422679Z with: 2025-09-07T14:27:17.9423102Z github-token: *** 2025-09-07T14:27:17.9423343Z env: 2025-09-07T14:27:17.9423566Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:17.9423911Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:17.9424364Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:17.9424965Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:17.9425484Z DEVICE_NAME: 2025-09-07T14:27:17.9425715Z DEVICE_TYPE: 2025-09-07T14:27:17.9425929Z ##[endgroup] 2025-09-07T14:27:17.9752633Z ##[group]Run set -eux 2025-09-07T14:27:17.9752930Z set -eux 2025-09-07T14:27:17.9753170Z  2025-09-07T14:27:17.9753648Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T14:27:17.9765945Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:27:17.9766339Z env: 2025-09-07T14:27:17.9766565Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:17.9766906Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:17.9767374Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:17.9767961Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:17.9768475Z DEVICE_NAME: 2025-09-07T14:27:17.9768711Z DEVICE_TYPE: 2025-09-07T14:27:17.9769204Z GITHUB_TOKEN: *** 2025-09-07T14:27:17.9769438Z ##[endgroup] 2025-09-07T14:27:17.9881471Z + python3 /home/grace/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525309334 i-03028b1668c838483-1007 2025-09-07T14:27:18.9510024Z setting job-id=49775768414 2025-09-07T14:27:18.9510623Z setting job-name=cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 4, 5, linux.aws.a100) 2025-09-07T14:27:18.9700494Z ##[group]Run set -eux 2025-09-07T14:27:18.9700785Z set -eux 2025-09-07T14:27:18.9701015Z  2025-09-07T14:27:18.9701237Z if [[ -n "" ]]; then 2025-09-07T14:27:18.9701504Z  source "" 2025-09-07T14:27:18.9701746Z fi 2025-09-07T14:27:18.9701959Z  2025-09-07T14:27:18.9702353Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T14:27:18.9702890Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T14:27:18.9703257Z  --repo "${REPO}" \ 2025-09-07T14:27:18.9703573Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T14:27:18.9703918Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T14:27:18.9704504Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T14:27:18.9704875Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T14:27:18.9705212Z  --job-id "${JOB_ID}" \ 2025-09-07T14:27:18.9705522Z  --job-name "${JOB_NAME}" 2025-09-07T14:27:18.9718390Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:27:18.9718788Z env: 2025-09-07T14:27:18.9719003Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:18.9719349Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:18.9719814Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:18.9720414Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:18.9720918Z DEVICE_NAME: 2025-09-07T14:27:18.9721160Z DEVICE_TYPE: 2025-09-07T14:27:18.9721514Z SCHEMA_VERSION: v3 2025-09-07T14:27:18.9721775Z REPO: pytorch/pytorch 2025-09-07T14:27:18.9722033Z HEAD_BRANCH: refs/heads/main 2025-09-07T14:27:18.9722379Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T14:27:18.9722741Z WORKFLOW_RUN_ID: 17525309334 2025-09-07T14:27:18.9723199Z RUN_ATTEMPT: 1 2025-09-07T14:27:18.9723424Z JOB_ID: 49775768414 2025-09-07T14:27:18.9723875Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 4, 5, linux.aws.a100) 2025-09-07T14:27:18.9724382Z ##[endgroup] 2025-09-07T14:27:18.9828540Z + [[ -n '' ]] 2025-09-07T14:27:18.9830568Z + python3 /home/grace/_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 49775768414 --job-name 'cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 4, 5, linux.aws.a100)' 2025-09-07T14:27:19.0145958Z ##[group]Run set -eux 2025-09-07T14:27:19.0146255Z set -eux 2025-09-07T14:27:19.0146493Z  2025-09-07T14:27:19.0146741Z if [[ -n "" ]]; then 2025-09-07T14:27:19.0147020Z  source "" 2025-09-07T14:27:19.0147262Z fi 2025-09-07T14:27:19.0147479Z  2025-09-07T14:27:19.0147879Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T14:27:19.0160984Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:27:19.0161389Z env: 2025-09-07T14:27:19.0161618Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:19.0161966Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:19.0162433Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:19.0163188Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:19.0163700Z DEVICE_NAME: 2025-09-07T14:27:19.0163939Z DEVICE_TYPE: 2025-09-07T14:27:19.0164170Z ##[endgroup] 2025-09-07T14:27:19.0275647Z + [[ -n '' ]] 2025-09-07T14:27:19.0276426Z + python3 /home/grace/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T14:27:20.0353929Z /home/grace/.local/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-09-07T14:27:20.0355166Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-09-07T14:27:21.3986116Z ##[group]Run set -eux 2025-09-07T14:27:21.3986402Z set -eux 2025-09-07T14:27:21.3986631Z  2025-09-07T14:27:21.3986875Z # TODO (huydhn): Implement this part 2025-09-07T14:27:21.3987278Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T14:27:21.3999905Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:27:21.4000314Z env: 2025-09-07T14:27:21.4000528Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:21.4000873Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:21.4001521Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:21.4002129Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:21.4002633Z DEVICE_NAME: 2025-09-07T14:27:21.4003004Z DEVICE_TYPE: 2025-09-07T14:27:21.4003232Z ##[endgroup] 2025-09-07T14:27:21.4100824Z + echo 'dependencies={}' 2025-09-07T14:27:21.4188555Z ##[group]Run set -eux 2025-09-07T14:27:21.4188843Z set -eux 2025-09-07T14:27:21.4189076Z  2025-09-07T14:27:21.4189295Z if [[ -n "" ]]; then 2025-09-07T14:27:21.4189561Z  source "" 2025-09-07T14:27:21.4189808Z fi 2025-09-07T14:27:21.4190018Z  2025-09-07T14:27:21.4190286Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T14:27:21.4190818Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T14:27:21.4191323Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T14:27:21.4191737Z  exit 0 2025-09-07T14:27:21.4191961Z fi 2025-09-07T14:27:21.4192163Z  2025-09-07T14:27:21.4192403Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T14:27:21.4192891Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T14:27:21.4193460Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T14:27:21.4193899Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T14:27:21.4194252Z  --runners "${RUNNER_INFO}" \ 2025-09-07T14:27:21.4194611Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T14:27:21.4194953Z  --dry-run 2025-09-07T14:27:21.4195205Z else 2025-09-07T14:27:21.4195578Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T14:27:21.4196148Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T14:27:21.4196595Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T14:27:21.4196967Z  --runners "${RUNNER_INFO}" \ 2025-09-07T14:27:21.4197320Z  --dependencies "${DEPENDENCIES}" 2025-09-07T14:27:21.4197635Z fi 2025-09-07T14:27:21.4209660Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:27:21.4210052Z env: 2025-09-07T14:27:21.4210276Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:21.4210605Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:21.4211077Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:21.4211680Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:21.4212190Z DEVICE_NAME: 2025-09-07T14:27:21.4212422Z DEVICE_TYPE: 2025-09-07T14:27:21.4212676Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T14:27:21.4213012Z DRY_RUN: false 2025-09-07T14:27:21.4214380Z BENCHMARK_METADATA: {"timestamp": 1757255239, "schema_version": "v3", "name": "cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 4, 5, linux.aws.a100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525309334, "run_attempt": 1, "job_id": 49775768414} 2025-09-07T14:27:21.4216451Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 1121, "extra_info": {"hostname": "5e63917eb52b"}, "name": "cuda", "type": "NVIDIA A100-SXM4-40GB", "gpu_count": 1, "avail_gpu_mem_in_gb": 39}] 2025-09-07T14:27:21.4217381Z DEPENDENCIES: {} 2025-09-07T14:27:21.4217649Z ##[endgroup] 2025-09-07T14:27:21.4306781Z + [[ -n '' ]] 2025-09-07T14:27:21.4307052Z + [[ ! -d test/test-reports ]] 2025-09-07T14:27:21.4307351Z + [[ false == \t\r\u\e ]] 2025-09-07T14:27:21.4310413Z + python3 /home/grace/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1757255239, "schema_version": "v3", "name": "cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 4, 5, linux.aws.a100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525309334, "run_attempt": 1, "job_id": 49775768414}' --runners '[{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 1121, "extra_info": {"hostname": "5e63917eb52b"}, "name": "cuda", "type": "NVIDIA A100-SXM4-40GB", "gpu_count": 1, "avail_gpu_mem_in_gb": 39}]' --dependencies '{}' 2025-09-07T14:27:21.5614354Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance.json 2025-09-07T14:27:21.5962080Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T14:27:21.8085497Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T14:27:21.9851272Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_max_autotune_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:27:22.0924177Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:27:22.2246799Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T14:27:22.3695472Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T14:27:22.4943317Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:27:22.6270711Z INFO:root:Upload test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:27:22.7972114Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T14:27:22.9210664Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T14:27:23.0606369Z 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/17525309334/49775768414/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:27:23.2498661Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T14:27:23.4048672Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_with_cudagraphs_huggingface_amp_training_cuda_accuracy.json 2025-09-07T14:27:23.5263315Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:27:23.6519558Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance.json 2025-09-07T14:27:23.7725216Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:27:23.8915667Z INFO:root:Upload test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T14:27:24.0204299Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_dynamic_huggingface_amp_training_cuda_accuracy.json 2025-09-07T14:27:24.1519151Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_max_autotune_huggingface_amp_training_cuda_performance.json 2025-09-07T14:27:24.2613580Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:27:24.3951592Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_dynamic_huggingface_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T14:27:24.5345012Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T14:27:24.6933932Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:27:24.8595572Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_no_cudagraphs_huggingface_amp_training_cuda_accuracy.json 2025-09-07T14:27:24.9477818Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T14:27:25.0739658Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:27:25.2027108Z INFO:root:Upload test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:27:25.3106551Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_max_autotune_huggingface_amp_training_cuda_accuracy.json 2025-09-07T14:27:25.4358039Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance.json 2025-09-07T14:27:25.5644032Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:27:25.7090123Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:27:25.8204099Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_dynamic_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:27:25.9254841Z INFO:root:Upload test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_export_huggingface_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:27:26.0251002Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_dynamic_huggingface_amp_training_cuda_performance.json 2025-09-07T14:27:26.1432399Z 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/17525309334/49775768414/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:27:26.2740232Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:27:26.4019430Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_cpp_wrapper_huggingface_amp_training_cuda_accuracy.json 2025-09-07T14:27:26.5329341Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T14:27:26.6507575Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_max_autotune_huggingface_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T14:27:26.7945487Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768414/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance.json 2025-09-07T14:27:26.9597284Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T14:27:26.9597700Z cat test/**/*_toprint.log || true 2025-09-07T14:27:26.9610610Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:27:26.9611009Z env: 2025-09-07T14:27:26.9611236Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:26.9611585Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:26.9612033Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:26.9612629Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:26.9613134Z DEVICE_NAME: 2025-09-07T14:27:26.9613370Z DEVICE_TYPE: 2025-09-07T14:27:26.9613598Z ##[endgroup] 2025-09-07T14:27:26.9796538Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T14:27:26.9932204Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T14:27:26.9932844Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T14:27:26.9951222Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:27:26.9951905Z env: 2025-09-07T14:27:26.9952278Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:26.9952890Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:26.9953735Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:26.9954834Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:26.9955800Z DEVICE_NAME: 2025-09-07T14:27:26.9956212Z DEVICE_TYPE: 2025-09-07T14:27:26.9956634Z MONITOR_SCRIPT_PID: 9347 2025-09-07T14:27:26.9957107Z ##[endgroup] 2025-09-07T14:27:27.0182838Z Prepare all required actions 2025-09-07T14:27:27.0183304Z Getting action download info 2025-09-07T14:27:27.1586506Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T14:27:27.9170440Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T14:27:30.0548001Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T14:27:30.0548384Z with: 2025-09-07T14:27:30.0548765Z file-suffix: test-inductor_huggingface_perf-4-5-linux.aws.a100_49775768414 2025-09-07T14:27:30.0549245Z s3-bucket: gha-artifacts 2025-09-07T14:27:30.0549496Z env: 2025-09-07T14:27:30.0549718Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:30.0550060Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:30.0550523Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:30.0551162Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:30.0551673Z DEVICE_NAME: 2025-09-07T14:27:30.0551893Z DEVICE_TYPE: 2025-09-07T14:27:30.0552127Z ##[endgroup] 2025-09-07T14:27:30.0970775Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T14:27:30.0971259Z # Remove any previous test jsons if they exist 2025-09-07T14:27:30.0971650Z rm -f test-jsons-*.zip 2025-09-07T14:27:30.0972210Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T14:27:30.0985408Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:27:30.0985812Z env: 2025-09-07T14:27:30.0986038Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:30.0986382Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:30.0986835Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:30.0987427Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:30.0987936Z DEVICE_NAME: 2025-09-07T14:27:30.0988183Z DEVICE_TYPE: 2025-09-07T14:27:30.0988568Z FILE_SUFFIX: test-inductor_huggingface_perf-4-5-linux.aws.a100_49775768414 2025-09-07T14:27:30.0989019Z ##[endgroup] 2025-09-07T14:27:30.1155522Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T14:27:30.1181819Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:27:30.1199502Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:27:30.1217433Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:27:30.1297869Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:27:30.1324061Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:27:30.1396454Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:27:30.1452007Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:27:30.1477944Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:27:30.1563401Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:27:30.1634753Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:27:30.1721103Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:27:30.1738816Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T14:27:30.1808179Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:27:30.1834238Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T14:27:30.1852197Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:27:30.1878024Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:27:30.1895399Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T14:27:30.1921566Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T14:27:30.1939871Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:27:30.2025984Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:27:30.2052271Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:27:30.2134516Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:27:30.2152389Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T14:27:30.2178568Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:27:30.2252822Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:27:30.2269867Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:27:30.2287784Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T14:27:30.2313907Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T14:27:30.2331784Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:27:30.2349497Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:27:30.2367340Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:27:30.2384719Z adding: test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:27:30.2411044Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T14:27:30.2493180Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:27:30.2566678Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:27:30.2584510Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T14:27:30.2610631Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:27:30.2707397Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:27:30.2733671Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:27:30.2870876Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T14:27:30.2871552Z # Remove any previous test reports if they exist 2025-09-07T14:27:30.2872186Z rm -f test-reports-*.zip 2025-09-07T14:27:30.2873275Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T14:27:30.2895206Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:27:30.2896117Z env: 2025-09-07T14:27:30.2896622Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:30.2897524Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:30.2898623Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:30.2900059Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:30.2901292Z DEVICE_NAME: 2025-09-07T14:27:30.2901840Z DEVICE_TYPE: 2025-09-07T14:27:30.2902731Z FILE_SUFFIX: test-inductor_huggingface_perf-4-5-linux.aws.a100_49775768414 2025-09-07T14:27:30.2903807Z ##[endgroup] 2025-09-07T14:27:30.3026825Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_accuracy.csv (deflated 56%) 2025-09-07T14:27:30.3028286Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 67%) 2025-09-07T14:27:30.3029952Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_accuracy.csv (deflated 55%) 2025-09-07T14:27:30.3031329Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance.csv (deflated 52%) 2025-09-07T14:27:30.3032756Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance.csv (deflated 50%) 2025-09-07T14:27:30.3034318Z adding: test/test-reports/inductor_cudagraphs_low_precision_huggingface_quant_inference_cuda_accuracy.csv (deflated 58%) 2025-09-07T14:27:30.3036084Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T14:27:30.3037734Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance.csv (deflated 50%) 2025-09-07T14:27:30.3039258Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance.csv (deflated 50%) 2025-09-07T14:27:30.3040554Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 58%) 2025-09-07T14:27:30.3042128Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 58%) 2025-09-07T14:27:30.3043981Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T14:27:30.3045540Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_accuracy.csv (deflated 55%) 2025-09-07T14:27:30.3046888Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 58%) 2025-09-07T14:27:30.3048689Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T14:27:30.3050471Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance.csv (deflated 51%) 2025-09-07T14:27:30.3052133Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance.csv (deflated 52%) 2025-09-07T14:27:30.3053608Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_accuracy.csv (deflated 55%) 2025-09-07T14:27:30.3055114Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_performance.csv (deflated 52%) 2025-09-07T14:27:30.3056801Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance.csv (deflated 51%) 2025-09-07T14:27:30.3058491Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T14:27:30.3060266Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T14:27:30.3061919Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 58%) 2025-09-07T14:27:30.3063588Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T14:27:30.3065503Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T14:27:30.3067115Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance.csv (deflated 52%) 2025-09-07T14:27:30.3068627Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 57%) 2025-09-07T14:27:30.3070176Z adding: test/test-reports/inductor_cudagraphs_low_precision_huggingface_quant_inference_cuda_performance.csv (deflated 52%) 2025-09-07T14:27:30.3071877Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T14:27:30.3073992Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T14:27:30.3075868Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T14:27:30.3077566Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T14:27:30.3079120Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_performance.csv (deflated 52%) 2025-09-07T14:27:30.3080873Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T14:27:30.3082663Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_accuracy.csv (deflated 55%) 2025-09-07T14:27:30.3084292Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_performance.csv (deflated 51%) 2025-09-07T14:27:30.3085859Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_performance.csv (deflated 50%) 2025-09-07T14:27:30.3087519Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T14:27:30.3089135Z adding: test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 58%) 2025-09-07T14:27:30.3090562Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 58%) 2025-09-07T14:27:30.3092312Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_performance.csv (deflated 50%) 2025-09-07T14:27:30.3093639Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_accuracy.csv (deflated 58%) 2025-09-07T14:27:30.3211144Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T14:27:30.3211864Z # Remove any previous usage logs if they exist 2025-09-07T14:27:30.3212442Z rm -f logs-*.zip 2025-09-07T14:27:30.3212972Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T14:27:30.3213926Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T14:27:30.3232880Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:27:30.3233621Z env: 2025-09-07T14:27:30.3234044Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:30.3234935Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:30.3235822Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:30.3236957Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:30.3237925Z DEVICE_NAME: 2025-09-07T14:27:30.3238379Z DEVICE_TYPE: 2025-09-07T14:27:30.3239113Z FILE_SUFFIX: test-inductor_huggingface_perf-4-5-linux.aws.a100_49775768414 2025-09-07T14:27:30.3239986Z ##[endgroup] 2025-09-07T14:27:30.3517415Z adding: usage_log.txt (deflated 93%) 2025-09-07T14:27:30.3531864Z 2025-09-07T14:27:30.3532454Z zip error: Nothing to do! (logs-test-inductor_huggingface_perf-4-5-linux.aws.a100_49775768414.zip) 2025-09-07T14:27:30.3647409Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T14:27:30.3647951Z # Remove any previous debugging artifacts if they exist 2025-09-07T14:27:30.3648364Z rm -f debug-*.zip 2025-09-07T14:27:30.3648659Z if [ -d 'test/debug' ]; then 2025-09-07T14:27:30.3649026Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T14:27:30.3649380Z fi 2025-09-07T14:27:30.3661760Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:27:30.3662157Z env: 2025-09-07T14:27:30.3662379Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:30.3662727Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:30.3663318Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:30.3663917Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:30.3664431Z DEVICE_NAME: 2025-09-07T14:27:30.3664657Z DEVICE_TYPE: 2025-09-07T14:27:30.3665041Z FILE_SUFFIX: test-inductor_huggingface_perf-4-5-linux.aws.a100_49775768414 2025-09-07T14:27:30.3665497Z ##[endgroup] 2025-09-07T14:27:30.4088672Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T14:27:30.4089017Z with: 2025-09-07T14:27:30.4089266Z s3-bucket: gha-artifacts 2025-09-07T14:27:30.4089597Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:27:30.4089963Z retention-days: 14 2025-09-07T14:27:30.4090210Z if-no-files-found: warn 2025-09-07T14:27:30.4090485Z path: test-jsons-*.zip 2025-09-07T14:27:30.4090746Z name: artifact 2025-09-07T14:27:30.4090983Z region: us-east-1 2025-09-07T14:27:30.4091212Z env: 2025-09-07T14:27:30.4091434Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:30.4091776Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:30.4092239Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:30.4092828Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:30.4093337Z DEVICE_NAME: 2025-09-07T14:27:30.4093566Z DEVICE_TYPE: 2025-09-07T14:27:30.4093791Z ##[endgroup] 2025-09-07T14:27:30.7467002Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T14:27:30.7467492Z With the provided path, there will be 1 file uploaded 2025-09-07T14:27:30.7467952Z Uploading to s3 prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:27:30.7475823Z Starting upload of test-jsons-test-inductor_huggingface_perf-4-5-linux.aws.a100_49775768414.zip 2025-09-07T14:27:30.8903723Z Finished upload of test-jsons-test-inductor_huggingface_perf-4-5-linux.aws.a100_49775768414.zip 2025-09-07T14:27:30.9216181Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T14:27:30.9216536Z with: 2025-09-07T14:27:30.9216769Z s3-bucket: gha-artifacts 2025-09-07T14:27:30.9217105Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:27:30.9217562Z retention-days: 14 2025-09-07T14:27:30.9217828Z if-no-files-found: error 2025-09-07T14:27:30.9218116Z path: test-reports-*.zip 2025-09-07T14:27:30.9218384Z name: artifact 2025-09-07T14:27:30.9218607Z region: us-east-1 2025-09-07T14:27:30.9218844Z env: 2025-09-07T14:27:30.9219055Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:30.9219607Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:30.9220066Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:30.9220676Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:30.9221183Z DEVICE_NAME: 2025-09-07T14:27:30.9221411Z DEVICE_TYPE: 2025-09-07T14:27:30.9221640Z ##[endgroup] 2025-09-07T14:27:31.2603191Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T14:27:31.2603712Z With the provided path, there will be 1 file uploaded 2025-09-07T14:27:31.2604163Z Uploading to s3 prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:27:31.2612285Z Starting upload of test-reports-test-inductor_huggingface_perf-4-5-linux.aws.a100_49775768414.zip 2025-09-07T14:27:31.3968269Z Finished upload of test-reports-test-inductor_huggingface_perf-4-5-linux.aws.a100_49775768414.zip 2025-09-07T14:27:31.4228458Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T14:27:31.4228816Z with: 2025-09-07T14:27:31.4229066Z s3-bucket: gha-artifacts 2025-09-07T14:27:31.4229397Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:27:31.4229749Z retention-days: 14 2025-09-07T14:27:31.4230023Z if-no-files-found: ignore 2025-09-07T14:27:31.4230300Z path: logs-*.zip 2025-09-07T14:27:31.4230542Z name: artifact 2025-09-07T14:27:31.4230767Z region: us-east-1 2025-09-07T14:27:31.4231001Z env: 2025-09-07T14:27:31.4231361Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:31.4231714Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:31.4232175Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:31.4232782Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:31.4233289Z DEVICE_NAME: 2025-09-07T14:27:31.4233526Z DEVICE_TYPE: 2025-09-07T14:27:31.4233757Z ##[endgroup] 2025-09-07T14:27:31.7615438Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T14:27:31.7615931Z With the provided path, there will be 1 file uploaded 2025-09-07T14:27:31.7616398Z Uploading to s3 prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:27:31.7624400Z Starting upload of logs-test-inductor_huggingface_perf-4-5-linux.aws.a100_49775768414.zip 2025-09-07T14:27:31.8882376Z Finished upload of logs-test-inductor_huggingface_perf-4-5-linux.aws.a100_49775768414.zip 2025-09-07T14:27:31.9173196Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T14:27:31.9173560Z with: 2025-09-07T14:27:31.9173773Z s3-bucket: gha-artifacts 2025-09-07T14:27:31.9174096Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:27:31.9174477Z retention-days: 14 2025-09-07T14:27:31.9174740Z if-no-files-found: ignore 2025-09-07T14:27:31.9175009Z path: debug-*.zip 2025-09-07T14:27:31.9175250Z name: artifact 2025-09-07T14:27:31.9175480Z region: us-east-1 2025-09-07T14:27:31.9175699Z env: 2025-09-07T14:27:31.9175915Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:31.9176258Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:31.9176739Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:31.9177436Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:31.9178091Z DEVICE_NAME: 2025-09-07T14:27:31.9178326Z DEVICE_TYPE: 2025-09-07T14:27:31.9178557Z ##[endgroup] 2025-09-07T14:27:32.2516972Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T14:27:32.3404264Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T14:27:32.3404953Z # shellcheck disable=SC2156 2025-09-07T14:27:32.3405928Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T14:27:32.3424577Z shell: /usr/bin/bash -e {0} 2025-09-07T14:27:32.3425055Z env: 2025-09-07T14:27:32.3425420Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:32.3425963Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:32.3426743Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:32.3427782Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:32.3428695Z DEVICE_NAME: 2025-09-07T14:27:32.3429075Z DEVICE_TYPE: 2025-09-07T14:27:32.3429427Z ##[endgroup] 2025-09-07T14:27:32.8408514Z Prepare all required actions 2025-09-07T14:27:32.8408957Z Getting action download info 2025-09-07T14:27:32.9683389Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T14:27:32.9683776Z with: 2025-09-07T14:27:32.9683998Z job_id: 49775768414 2025-09-07T14:27:32.9684453Z job_name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 4, 5, linux.aws.a100) 2025-09-07T14:27:32.9684987Z workflow_name: inductor-A100-perf-nightly 2025-09-07T14:27:32.9685329Z workflow_run_id: 17525309334 2025-09-07T14:27:32.9685609Z workflow_attempt: 1 2025-09-07T14:27:32.9685852Z env: 2025-09-07T14:27:32.9686054Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:32.9686394Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:32.9686857Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:32.9687461Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:32.9688015Z DEVICE_NAME: 2025-09-07T14:27:32.9688235Z DEVICE_TYPE: 2025-09-07T14:27:32.9688463Z ##[endgroup] 2025-09-07T14:27:32.9891249Z ##[group]Run echo "workflow_id: 17525309334" 2025-09-07T14:27:32.9891628Z echo "workflow_id: 17525309334" 2025-09-07T14:27:32.9891969Z echo "workflow_attempt: 1" 2025-09-07T14:27:32.9892360Z echo "workflow_Name: inductor-A100-perf-nightly" 2025-09-07T14:27:32.9892757Z echo "job_id: 49775768414" 2025-09-07T14:27:32.9893310Z echo "job_name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 4, 5, linux.aws.a100)" 2025-09-07T14:27:32.9893874Z echo "artifact_prefix: " 2025-09-07T14:27:32.9894192Z python3 --version 2025-09-07T14:27:32.9906868Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:27:32.9907266Z env: 2025-09-07T14:27:32.9907476Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:32.9907828Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:32.9908302Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:32.9908897Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:32.9909411Z DEVICE_NAME: 2025-09-07T14:27:32.9909627Z DEVICE_TYPE: 2025-09-07T14:27:32.9909853Z ##[endgroup] 2025-09-07T14:27:33.0022374Z workflow_id: 17525309334 2025-09-07T14:27:33.0022701Z workflow_attempt: 1 2025-09-07T14:27:33.0023032Z workflow_Name: inductor-A100-perf-nightly 2025-09-07T14:27:33.0023368Z job_id: 49775768414 2025-09-07T14:27:33.0023896Z job_name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 4, 5, linux.aws.a100) 2025-09-07T14:27:33.0024458Z artifact_prefix: 2025-09-07T14:27:33.0038817Z Python 3.10.12 2025-09-07T14:27:33.0231942Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T14:27:33.0232271Z with: 2025-09-07T14:27:33.0232487Z shell: bash 2025-09-07T14:27:33.0232861Z timeout_minutes: 5 2025-09-07T14:27:33.0233099Z max_attempts: 5 2025-09-07T14:27:33.0233359Z retry_wait_seconds: 30 2025-09-07T14:27:33.0233922Z 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 2025-09-07T14:27:33.0234539Z polling_interval_seconds: 1 2025-09-07T14:27:33.0234817Z warning_on_retry: true 2025-09-07T14:27:33.0235085Z continue_on_error: false 2025-09-07T14:27:33.0235345Z env: 2025-09-07T14:27:33.0235561Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:33.0235884Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:33.0236348Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:33.0236938Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:33.0237442Z DEVICE_NAME: 2025-09-07T14:27:33.0237671Z DEVICE_TYPE: 2025-09-07T14:27:33.0237884Z ##[endgroup] 2025-09-07T14:27:33.4111288Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T14:27:33.8059570Z Collecting python-dateutil==2.8.2 2025-09-07T14:27:33.8583155Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T14:27:34.0671473Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 247.7/247.7 KB 1.2 MB/s eta 0:00:00 2025-09-07T14:27:34.8230605Z Collecting boto3==1.35.42 2025-09-07T14:27:34.8266697Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T14:27:34.9501376Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.2/139.2 KB 1.1 MB/s eta 0:00:00 2025-09-07T14:27:35.3833607Z Collecting pandas==2.1.3 2025-09-07T14:27:35.3899706Z Downloading pandas-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T14:27:35.6252598Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.3/12.3 MB 45.6 MB/s eta 0:00:00 2025-09-07T14:27:35.6878950Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/grace/.local/lib/python3.10/site-packages (0.6.7) 2025-09-07T14:27:35.6897221Z Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil==2.8.2) (1.16.0) 2025-09-07T14:27:35.6946122Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /home/grace/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.0.1) 2025-09-07T14:27:35.6951662Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/grace/.local/lib/python3.10/site-packages (from boto3==1.35.42) (0.10.4) 2025-09-07T14:27:35.6957008Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/grace/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.35.99) 2025-09-07T14:27:35.8098145Z Collecting tzdata>=2022.1 2025-09-07T14:27:35.8131200Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T14:27:35.8415266Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 347.8/347.8 KB 12.8 MB/s eta 0:00:00 2025-09-07T14:27:35.9257860Z Collecting pytz>=2020.1 2025-09-07T14:27:35.9300749Z Downloading pytz-2025.2-py2.py3-none-any.whl (509 kB) 2025-09-07T14:27:36.0125795Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 509.2/509.2 KB 6.2 MB/s eta 0:00:00 2025-09-07T14:27:36.5788162Z Collecting numpy<2,>=1.22.4 2025-09-07T14:27:36.5829726Z Downloading 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boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 pytz-2025.2 tzdata-2025.2 2025-09-07T14:27:45.1102909Z Command completed after 1 attempt(s). 2025-09-07T14:27:45.1223275Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T14:27:45.1225471Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T14:27:45.1225997Z  --workflow-run-id "17525309334" \ 2025-09-07T14:27:45.1226408Z  --workflow-name "inductor-A100-perf-nightly" \ 2025-09-07T14:27:45.1226819Z  --workflow-run-attempt "1" \ 2025-09-07T14:27:45.1227150Z  --job-id "49775768414" \ 2025-09-07T14:27:45.1227677Z  --job-name "cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 4, 5, linux.aws.a100)" \ 2025-09-07T14:27:45.1228250Z  --local-path "" \ 2025-09-07T14:27:45.1228551Z  --artifact-prefix "" 2025-09-07T14:27:45.1241137Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:27:45.1241534Z env: 2025-09-07T14:27:45.1241758Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:27:45.1242097Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:27:45.1242559Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T14:27:45.1243431Z DOCKER_CONTAINER_ID: 6ce40884fac4e467f39328765c524faeb59de539a2e334eab6a94f571c246620 2025-09-07T14:27:45.1243926Z DEVICE_NAME: 2025-09-07T14:27:45.1244159Z DEVICE_TYPE: 2025-09-07T14:27:45.1244389Z ##[endgroup] 2025-09-07T14:27:48.8540894Z repo: pytorch/pytorch 2025-09-07T14:27:48.8541293Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T14:27:48.8541848Z Downloading logs-test-inductor_huggingface_perf-4-5-linux.aws.a100_49775768414.zip 2025-09-07T14:27:48.8542653Z extracting usage_log.txt from zip file logs-test-inductor_huggingface_perf-4-5-linux.aws.a100_49775768414.zip 2025-09-07T14:27:48.8543326Z Converted Log Model: UtilizationMetadata: 2025-09-07T14:27:48.8544851Z UtilizationMetadata(level='metadata', workflow_id='17525309334', job_id='49775768414', workflow_name='inductor-A100-perf-nightly', job_name='cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 4, 5, linux.aws.a100)', usage_collect_interval=4.0, data_model_version=1.5, start_at=1757235127, gpu_count=1, cpu_count=96, gpu_type='pynvml', error=None) 2025-09-07T14:27:48.8546457Z [Db Segments] detected pytest cmd: 5, generated segments: 5 2025-09-07T14:27:48.8546859Z [db model] Peek db timeseries 2025-09-07T14:27:48.8547122Z :{ 2025-09-07T14:27:48.8547332Z "created_at": 1757255268, 2025-09-07T14:27:48.8547618Z "type": "utilization", 2025-09-07T14:27:48.8547867Z "tags": [ 2025-09-07T14:27:48.8548091Z "record" 2025-09-07T14:27:48.8548312Z ], 2025-09-07T14:27:48.8548525Z "time_stamp": 1757235127, 2025-09-07T14:27:48.8549103Z "repo": "pytorch/pytorch", 2025-09-07T14:27:48.8549390Z "workflow_id": 17525309334, 2025-09-07T14:27:48.8549677Z "run_attempt": 1, 2025-09-07T14:27:48.8549928Z "job_id": 49775768414, 2025-09-07T14:27:48.8550226Z "workflow_name": "inductor-A100-perf-nightly", 2025-09-07T14:27:48.8550796Z "job_name": "cuda12.8-py3.10-gcc9-sm80 / test (inductor_huggingface_perf, 4, 5, linux.aws.a100)", 2025-09-07T14:27:48.8551309Z "json_data": "{}" 2025-09-07T14:27:48.8551550Z } 2025-09-07T14:27:48.8552047Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525309334/1/49775768414/metadata 2025-09-07T14:27:48.8552990Z Done! 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'third_party/FXdiv' 2025-09-07T14:27:49.6896884Z http.https://github.com/.extraheader 2025-09-07T14:27:49.6993068Z Entering 'third_party/NNPACK' 2025-09-07T14:27:49.7018128Z http.https://github.com/.extraheader 2025-09-07T14:27:49.7085085Z Entering 'third_party/NVTX' 2025-09-07T14:27:49.7109567Z http.https://github.com/.extraheader 2025-09-07T14:27:49.7208824Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T14:27:49.7233659Z http.https://github.com/.extraheader 2025-09-07T14:27:49.7294826Z Entering 'third_party/XNNPACK' 2025-09-07T14:27:49.7320211Z http.https://github.com/.extraheader 2025-09-07T14:27:49.7496408Z Entering 'third_party/aiter' 2025-09-07T14:27:49.7520279Z http.https://github.com/.extraheader 2025-09-07T14:27:49.7616487Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T14:27:49.7639929Z http.https://github.com/.extraheader 2025-09-07T14:27:49.7747508Z Entering 'third_party/benchmark' 2025-09-07T14:27:49.7772504Z http.https://github.com/.extraheader 2025-09-07T14:27:49.7901506Z Entering 'third_party/composable_kernel' 2025-09-07T14:27:49.7926001Z http.https://github.com/.extraheader 2025-09-07T14:27:49.7988743Z Entering 'third_party/cpp-httplib' 2025-09-07T14:27:49.8013219Z http.https://github.com/.extraheader 2025-09-07T14:27:49.8125720Z Entering 'third_party/cpuinfo' 2025-09-07T14:27:49.8151495Z http.https://github.com/.extraheader 2025-09-07T14:27:49.8243115Z Entering 'third_party/cudnn_frontend' 2025-09-07T14:27:49.8268474Z http.https://github.com/.extraheader 2025-09-07T14:27:49.8304904Z Entering 'third_party/cutlass' 2025-09-07T14:27:49.8330448Z http.https://github.com/.extraheader 2025-09-07T14:27:49.8401301Z Entering 'third_party/fbgemm' 2025-09-07T14:27:49.8427526Z http.https://github.com/.extraheader 2025-09-07T14:27:49.8478200Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T14:27:49.8502180Z http.https://github.com/.extraheader 2025-09-07T14:27:49.8568888Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T14:27:49.8593646Z http.https://github.com/.extraheader 2025-09-07T14:27:49.8644073Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T14:27:49.8667984Z http.https://github.com/.extraheader 2025-09-07T14:27:49.8853194Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T14:27:49.8878207Z http.https://github.com/.extraheader 2025-09-07T14:27:49.8950387Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T14:27:49.8975763Z http.https://github.com/.extraheader 2025-09-07T14:27:49.9084308Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T14:27:49.9108530Z http.https://github.com/.extraheader 2025-09-07T14:27:49.9239484Z Entering 'third_party/fbgemm/external/json' 2025-09-07T14:27:49.9263820Z http.https://github.com/.extraheader 2025-09-07T14:27:49.9366114Z Entering 'third_party/flash-attention' 2025-09-07T14:27:49.9391907Z http.https://github.com/.extraheader 2025-09-07T14:27:49.9491575Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T14:27:49.9515967Z http.https://github.com/.extraheader 2025-09-07T14:27:49.9608892Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T14:27:49.9633674Z http.https://github.com/.extraheader 2025-09-07T14:27:49.9700582Z Entering 'third_party/flatbuffers' 2025-09-07T14:27:49.9726181Z http.https://github.com/.extraheader 2025-09-07T14:27:49.9814145Z Entering 'third_party/fmt' 2025-09-07T14:27:49.9839122Z http.https://github.com/.extraheader 2025-09-07T14:27:49.9990035Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T14:27:50.0016240Z http.https://github.com/.extraheader 2025-09-07T14:27:50.0167047Z Entering 'third_party/gloo' 2025-09-07T14:27:50.0193555Z http.https://github.com/.extraheader 2025-09-07T14:27:50.0263872Z Entering 'third_party/googletest' 2025-09-07T14:27:50.0290744Z http.https://github.com/.extraheader 2025-09-07T14:27:50.0569913Z Entering 'third_party/ideep' 2025-09-07T14:27:50.0596050Z http.https://github.com/.extraheader 2025-09-07T14:27:50.0669029Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T14:27:50.0693331Z http.https://github.com/.extraheader 2025-09-07T14:27:50.0791954Z Entering 'third_party/ittapi' 2025-09-07T14:27:50.0818196Z http.https://github.com/.extraheader 2025-09-07T14:27:50.0904144Z Entering 'third_party/kineto' 2025-09-07T14:27:50.0930516Z http.https://github.com/.extraheader 2025-09-07T14:27:50.1052399Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T14:27:50.1076884Z http.https://github.com/.extraheader 2025-09-07T14:27:50.1172433Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T14:27:50.1196462Z http.https://github.com/.extraheader 2025-09-07T14:27:50.1265877Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T14:27:50.1289941Z http.https://github.com/.extraheader 2025-09-07T14:27:50.1383570Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T14:27:50.1407843Z http.https://github.com/.extraheader 2025-09-07T14:27:50.1504027Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T14:27:50.1528362Z http.https://github.com/.extraheader 2025-09-07T14:27:50.1701062Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T14:27:50.1726571Z http.https://github.com/.extraheader 2025-09-07T14:27:50.1769964Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T14:27:50.1794325Z http.https://github.com/.extraheader 2025-09-07T14:27:50.1849281Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T14:27:50.1873316Z http.https://github.com/.extraheader 2025-09-07T14:27:50.2012771Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T14:27:50.2038111Z http.https://github.com/.extraheader 2025-09-07T14:27:50.2108360Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T14:27:50.2133428Z http.https://github.com/.extraheader 2025-09-07T14:27:50.2204335Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T14:27:50.2228488Z http.https://github.com/.extraheader 2025-09-07T14:27:50.2410775Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T14:27:50.2434658Z http.https://github.com/.extraheader 2025-09-07T14:27:50.2561259Z Entering 'third_party/kleidiai' 2025-09-07T14:27:50.2587687Z http.https://github.com/.extraheader 2025-09-07T14:27:50.2712272Z Entering 'third_party/mimalloc' 2025-09-07T14:27:50.2738030Z http.https://github.com/.extraheader 2025-09-07T14:27:50.2779101Z Entering 'third_party/nlohmann' 2025-09-07T14:27:50.2804195Z http.https://github.com/.extraheader 2025-09-07T14:27:50.2872511Z Entering 'third_party/onnx' 2025-09-07T14:27:50.2898400Z http.https://github.com/.extraheader 2025-09-07T14:27:50.3102426Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T14:27:50.3126953Z http.https://github.com/.extraheader 2025-09-07T14:27:50.3231766Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T14:27:50.3256430Z http.https://github.com/.extraheader 2025-09-07T14:27:50.3336381Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T14:27:50.3360034Z http.https://github.com/.extraheader 2025-09-07T14:27:50.3435171Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T14:27:50.3458720Z http.https://github.com/.extraheader 2025-09-07T14:27:50.3590289Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T14:27:50.3614118Z http.https://github.com/.extraheader 2025-09-07T14:27:50.3811413Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T14:27:50.3833796Z http.https://github.com/.extraheader 2025-09-07T14:27:50.3873132Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T14:27:50.3896023Z http.https://github.com/.extraheader 2025-09-07T14:27:50.3984352Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T14:27:50.4007235Z http.https://github.com/.extraheader 2025-09-07T14:27:50.4084212Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T14:27:50.4112910Z http.https://github.com/.extraheader 2025-09-07T14:27:50.4172289Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T14:27:50.4196459Z http.https://github.com/.extraheader 2025-09-07T14:27:50.4240370Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T14:27:50.4266017Z http.https://github.com/.extraheader 2025-09-07T14:27:50.4445966Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T14:27:50.4469524Z http.https://github.com/.extraheader 2025-09-07T14:27:50.4574833Z Entering 'third_party/pocketfft' 2025-09-07T14:27:50.4599352Z http.https://github.com/.extraheader 2025-09-07T14:27:50.4652483Z Entering 'third_party/protobuf' 2025-09-07T14:27:50.4677061Z http.https://github.com/.extraheader 2025-09-07T14:27:50.4721797Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T14:27:50.4746123Z http.https://github.com/.extraheader 2025-09-07T14:27:50.4835983Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T14:27:50.4859763Z http.https://github.com/.extraheader 2025-09-07T14:27:50.4902731Z Entering 'third_party/psimd' 2025-09-07T14:27:50.4927994Z http.https://github.com/.extraheader 2025-09-07T14:27:50.5090279Z Entering 'third_party/pthreadpool' 2025-09-07T14:27:50.5115949Z http.https://github.com/.extraheader 2025-09-07T14:27:50.5149213Z Entering 'third_party/pybind11' 2025-09-07T14:27:50.5173810Z http.https://github.com/.extraheader 2025-09-07T14:27:50.5357431Z Entering 'third_party/python-peachpy' 2025-09-07T14:27:50.5383642Z http.https://github.com/.extraheader 2025-09-07T14:27:50.5462468Z Entering 'third_party/sleef' 2025-09-07T14:27:50.5488063Z http.https://github.com/.extraheader 2025-09-07T14:27:50.5530411Z Entering 'third_party/tensorpipe' 2025-09-07T14:27:50.5555037Z http.https://github.com/.extraheader 2025-09-07T14:27:50.5714909Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T14:27:50.5739361Z http.https://github.com/.extraheader 2025-09-07T14:27:50.5792990Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T14:27:50.5816984Z http.https://github.com/.extraheader 2025-09-07T14:27:50.5863909Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T14:27:50.5888476Z http.https://github.com/.extraheader 2025-09-07T14:27:50.6100097Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T14:27:50.6124982Z http.https://github.com/.extraheader 2025-09-07T14:27:50.6160105Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T14:27:50.6184371Z http.https://github.com/.extraheader 2025-09-07T14:27:50.6490440Z Post job cleanup. 2025-09-07T14:27:50.7480807Z [command]/usr/bin/git version 2025-09-07T14:27:50.7517408Z git version 2.51.0 2025-09-07T14:27:50.7559502Z Temporarily overriding HOME='/home/grace/_work/_temp/38410039-0e9b-4473-810e-467a8054d83d' before making global git config changes 2025-09-07T14:27:50.7560386Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T14:27:50.7564840Z [command]/usr/bin/git config --global --add safe.directory /home/grace/_work/pytorch/pytorch 2025-09-07T14:27:50.7649610Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T14:27:50.7683002Z [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' || :" 2025-09-07T14:27:50.7918245Z Entering 'android/libs/fbjni' 2025-09-07T14:27:50.7961313Z Entering 'third_party/FP16' 2025-09-07T14:27:50.8003060Z Entering 'third_party/FXdiv' 2025-09-07T14:27:50.8044510Z Entering 'third_party/NNPACK' 2025-09-07T14:27:50.8086880Z Entering 'third_party/NVTX' 2025-09-07T14:27:50.8129469Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T14:27:50.8172052Z Entering 'third_party/XNNPACK' 2025-09-07T14:27:50.8230725Z Entering 'third_party/aiter' 2025-09-07T14:27:50.8274635Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T14:27:50.8325861Z Entering 'third_party/benchmark' 2025-09-07T14:27:50.8369752Z Entering 'third_party/composable_kernel' 2025-09-07T14:27:50.8425033Z Entering 'third_party/cpp-httplib' 2025-09-07T14:27:50.8466775Z Entering 'third_party/cpuinfo' 2025-09-07T14:27:50.8510188Z Entering 'third_party/cudnn_frontend' 2025-09-07T14:27:50.8553068Z Entering 'third_party/cutlass' 2025-09-07T14:27:50.8605192Z Entering 'third_party/fbgemm' 2025-09-07T14:27:50.8652264Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T14:27:50.8692598Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T14:27:50.8741817Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T14:27:50.8783591Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T14:27:50.8836276Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T14:27:50.8877708Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T14:27:50.8918317Z Entering 'third_party/fbgemm/external/json' 2025-09-07T14:27:50.8962165Z Entering 'third_party/flash-attention' 2025-09-07T14:27:50.9007244Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T14:27:50.9054194Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T14:27:50.9104838Z Entering 'third_party/flatbuffers' 2025-09-07T14:27:50.9150403Z Entering 'third_party/fmt' 2025-09-07T14:27:50.9192992Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T14:27:50.9236022Z Entering 'third_party/gloo' 2025-09-07T14:27:50.9279986Z Entering 'third_party/googletest' 2025-09-07T14:27:50.9321915Z Entering 'third_party/ideep' 2025-09-07T14:27:50.9362603Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T14:27:50.9411003Z Entering 'third_party/ittapi' 2025-09-07T14:27:50.9453369Z Entering 'third_party/kineto' 2025-09-07T14:27:50.9497574Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T14:27:50.9536924Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T14:27:50.9578919Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T14:27:50.9619845Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T14:27:50.9660524Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T14:27:50.9700714Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T14:27:50.9744074Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T14:27:50.9785215Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T14:27:50.9825882Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T14:27:50.9867611Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T14:27:50.9911341Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T14:27:50.9952579Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T14:27:50.9994333Z Entering 'third_party/kleidiai' 2025-09-07T14:27:51.0037122Z Entering 'third_party/mimalloc' 2025-09-07T14:27:51.0079877Z Entering 'third_party/nlohmann' 2025-09-07T14:27:51.0123537Z Entering 'third_party/onnx' 2025-09-07T14:27:51.0185629Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T14:27:51.0229626Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T14:27:51.0273934Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T14:27:51.0313337Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T14:27:51.0353908Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T14:27:51.0393744Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T14:27:51.0435443Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T14:27:51.0475738Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T14:27:51.0515981Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T14:27:51.0556075Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T14:27:51.0598979Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T14:27:51.0641172Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T14:27:51.0704751Z Entering 'third_party/pocketfft' 2025-09-07T14:27:51.0748045Z Entering 'third_party/protobuf' 2025-09-07T14:27:51.0794302Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T14:27:51.0834997Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T14:27:51.0878403Z Entering 'third_party/psimd' 2025-09-07T14:27:51.0921525Z Entering 'third_party/pthreadpool' 2025-09-07T14:27:51.0964157Z Entering 'third_party/pybind11' 2025-09-07T14:27:51.1006898Z Entering 'third_party/python-peachpy' 2025-09-07T14:27:51.1049325Z Entering 'third_party/sleef' 2025-09-07T14:27:51.1091832Z Entering 'third_party/tensorpipe' 2025-09-07T14:27:51.1133962Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T14:27:51.1174201Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T14:27:51.1214461Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T14:27:51.1255170Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T14:27:51.1295094Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T14:27:51.1355366Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T14:27:51.1386245Z [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' || :" 2025-09-07T14:27:51.1605676Z Entering 'android/libs/fbjni' 2025-09-07T14:27:51.1646726Z Entering 'third_party/FP16' 2025-09-07T14:27:51.1689441Z Entering 'third_party/FXdiv' 2025-09-07T14:27:51.1729426Z Entering 'third_party/NNPACK' 2025-09-07T14:27:51.1772065Z Entering 'third_party/NVTX' 2025-09-07T14:27:51.1815482Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T14:27:51.1857846Z Entering 'third_party/XNNPACK' 2025-09-07T14:27:51.1916231Z Entering 'third_party/aiter' 2025-09-07T14:27:51.1960110Z 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