2025-09-07T08:55:42.3747724Z Current runner version: '2.328.0' 2025-09-07T08:55:42.3753411Z Runner name: 'i-0d3ed1ff3ccbeec77-1006' 2025-09-07T08:55:42.3754148Z Runner group name: 'default' 2025-09-07T08:55:42.3754859Z Machine name: '0933e9e7e45b' 2025-09-07T08:55:42.3757545Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T08:55:42.3759767Z Contents: read 2025-09-07T08:55:42.3760288Z Metadata: read 2025-09-07T08:55:42.3760860Z ##[endgroup] 2025-09-07T08:55:42.3762712Z Secret source: Actions 2025-09-07T08:55:42.3763346Z Prepare workflow directory 2025-09-07T08:55:42.4237650Z Prepare all required actions 2025-09-07T08:55:42.4272188Z Getting action download info 2025-09-07T08:55:42.7613502Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T08:55:43.3309355Z Download action repository 'pytorch/pytorch@main' (SHA:7a83cf430e97d83d6fb14880b9049e77ff725685) 2025-09-07T08:55:50.6372735Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T08:55:50.8370642Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T08:55:51.0031961Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T08:55:51.1532185Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T08:55:51.3560086Z Getting action download info 2025-09-07T08:55:51.4448056Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T08:55:51.6477966Z Getting action download info 2025-09-07T08:55:51.7665641Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T08:55:51.9482467Z Getting action download info 2025-09-07T08:55:52.0827857Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T08:55:52.2845724Z Getting action download info 2025-09-07T08:55:52.4071500Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T08:55:52.4075149Z ##[group] Inputs 2025-09-07T08:55:52.4075499Z build-environment: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T08:55:52.4080900Z test-matrix: {"include": [{"config": "inductor_huggingface_perf_cuda_h100", "shard": 1, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 2, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 3, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 4, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 5, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 1, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 2, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 3, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 4, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 5, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 6, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 7, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 1, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 2, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 3, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 4, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 5, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 6, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 7, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 8, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 9, "num_shards": 9, "runner": "linux.aws.h100"}]} 2025-09-07T08:55:52.4086471Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:55:52.4087187Z sync-tag: 2025-09-07T08:55:52.4088111Z timeout-minutes: 1440 2025-09-07T08:55:52.4088356Z use-gha: 2025-09-07T08:55:52.4089226Z 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 2025-09-07T08:55:52.4090153Z s3-bucket: gha-artifacts 2025-09-07T08:55:52.4090370Z aws-role-to-assume: 2025-09-07T08:55:52.4090899Z disable-monitor: false 2025-09-07T08:55:52.4091156Z monitor-log-interval: 15 2025-09-07T08:55:52.4091390Z monitor-data-collect-interval: 4 2025-09-07T08:55:52.4091637Z ##[endgroup] 2025-09-07T08:55:52.4091980Z Complete job name: test-weekly / test (inductor_torchbench_perf_cuda_h100, 5, 9, linux.aws.h100) 2025-09-07T08:55:52.4567783Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T08:55:52.4568475Z with: 2025-09-07T08:55:52.4568957Z github-secret: *** 2025-09-07T08:55:52.4569531Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T08:55:52.4570104Z activate-with-label: false 2025-09-07T08:55:52.4570328Z label: with-ssh 2025-09-07T08:55:52.4570511Z remove-existing-keys: true 2025-09-07T08:55:52.4570719Z fail-silently: true 2025-09-07T08:55:52.4571127Z env: 2025-09-07T08:55:52.4571306Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:55:52.4571513Z ##[endgroup] 2025-09-07T08:55:52.5650385Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T08:55:52.5651469Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T08:55:52.5843849Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T08:55:52.5844200Z with: 2025-09-07T08:55:52.5844376Z no-sudo: true 2025-09-07T08:55:52.5844566Z submodules: recursive 2025-09-07T08:55:52.5844842Z fetch-depth: 0 2025-09-07T08:55:52.5845020Z env: 2025-09-07T08:55:52.5845177Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:55:52.5845405Z ##[endgroup] 2025-09-07T08:55:52.5925969Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:55:52.5926727Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:55:52.5949484Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:55:52.5949795Z env: 2025-09-07T08:55:52.5949961Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:55:52.5950167Z ##[endgroup] 2025-09-07T08:55:52.6112113Z ##[group]Run actions/checkout@v4 2025-09-07T08:55:52.6112363Z with: 2025-09-07T08:55:52.6112566Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:55:52.6112818Z fetch-depth: 0 2025-09-07T08:55:52.6113014Z submodules: recursive 2025-09-07T08:55:52.6113209Z show-progress: false 2025-09-07T08:55:52.6113409Z repository: pytorch/pytorch 2025-09-07T08:55:52.6114016Z token: *** 2025-09-07T08:55:52.6114193Z ssh-strict: true 2025-09-07T08:55:52.6114373Z ssh-user: git 2025-09-07T08:55:52.6114549Z persist-credentials: true 2025-09-07T08:55:52.6114755Z clean: true 2025-09-07T08:55:52.6114947Z sparse-checkout-cone-mode: true 2025-09-07T08:55:52.6115168Z fetch-tags: false 2025-09-07T08:55:52.6115329Z lfs: false 2025-09-07T08:55:52.6115497Z set-safe-directory: true 2025-09-07T08:55:52.6115692Z env: 2025-09-07T08:55:52.6115845Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:55:52.6116023Z ##[endgroup] 2025-09-07T08:55:52.7089925Z Syncing repository: pytorch/pytorch 2025-09-07T08:55:52.7091168Z ##[group]Getting Git version info 2025-09-07T08:55:52.7091543Z Working directory is '/home/frank/_work/pytorch/pytorch' 2025-09-07T08:55:52.7092046Z [command]/usr/bin/git version 2025-09-07T08:55:52.7092291Z git version 2.51.0 2025-09-07T08:55:52.7112909Z ##[endgroup] 2025-09-07T08:55:52.7123856Z Temporarily overriding HOME='/home/frank/_work/_temp/1417dab8-a07f-4360-bcb3-6225d6205344' before making global git config changes 2025-09-07T08:55:52.7124757Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T08:55:52.7128853Z [command]/usr/bin/git config --global --add safe.directory /home/frank/_work/pytorch/pytorch 2025-09-07T08:55:52.7160437Z Deleting the contents of '/home/frank/_work/pytorch/pytorch' 2025-09-07T08:55:52.7163455Z ##[group]Initializing the repository 2025-09-07T08:55:52.7166391Z [command]/usr/bin/git init /home/frank/_work/pytorch/pytorch 2025-09-07T08:55:52.7213819Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T08:55:52.7214418Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T08:55:52.7215052Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T08:55:52.7215460Z hint: 2025-09-07T08:55:52.7215763Z hint: git config --global init.defaultBranch 2025-09-07T08:55:52.7216098Z hint: 2025-09-07T08:55:52.7216437Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T08:55:52.7216985Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T08:55:52.7217524Z hint: 2025-09-07T08:55:52.7217736Z hint: git branch -m 2025-09-07T08:55:52.7217982Z hint: 2025-09-07T08:55:52.7218333Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-09-07T08:55:52.7218940Z Initialized empty Git repository in /home/frank/_work/pytorch/pytorch/.git/ 2025-09-07T08:55:52.7224668Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T08:55:52.7262779Z ##[endgroup] 2025-09-07T08:55:52.7263221Z ##[group]Disabling automatic garbage collection 2025-09-07T08:55:52.7265741Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T08:55:52.7292511Z ##[endgroup] 2025-09-07T08:55:52.7292887Z ##[group]Setting up auth 2025-09-07T08:55:52.7298567Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T08:55:52.7325317Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T08:55:52.7556304Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T08:55:52.7582623Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T08:55:52.7815642Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T08:55:52.7853202Z ##[endgroup] 2025-09-07T08:55:52.7853567Z ##[group]Fetching the repository 2025-09-07T08:55:52.7860340Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T08:56:35.6237090Z From https://github.com/pytorch/pytorch 2025-09-07T08:56:35.6238153Z * [new branch] 160583 -> origin/160583 2025-09-07T08:56:35.6238636Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T08:56:35.6242087Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T08:56:35.6242717Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T08:56:35.6243367Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T08:56:35.6243962Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T08:56:35.6244600Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T08:56:35.6245116Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T08:56:35.6245559Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T08:56:35.6246030Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T08:56:35.6246494Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T08:56:35.6246940Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T08:56:35.6247575Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T08:56:35.6248066Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T08:56:35.6248514Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T08:56:35.6248961Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T08:56:35.6249517Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T08:56:35.6250041Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T08:56:35.6250508Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T08:56:35.6250958Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T08:56:35.6251393Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T08:56:35.6251776Z * [new branch] addsimde -> origin/addsimde 2025-09-07T08:56:35.6252706Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T08:56:35.6253148Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T08:56:35.6253514Z * [new branch] adi/test -> origin/adi/test 2025-09-07T08:56:35.6253998Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T08:56:35.6254405Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T08:56:35.6254821Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T08:56:35.6255447Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T08:56:35.6255904Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T08:56:35.6256284Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T08:56:35.6256709Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T08:56:35.6257144Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T08:56:35.6257716Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T08:56:35.6258141Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T08:56:35.6258886Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T08:56:35.6259312Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T08:56:35.6259712Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T08:56:35.6260202Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T08:56:35.6260708Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T08:56:35.6261134Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T08:56:35.6261561Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T08:56:35.6261979Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T08:56:35.6262433Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T08:56:35.6263208Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T08:56:35.6263689Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T08:56:35.6264105Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T08:56:35.6264506Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T08:56:35.6264907Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T08:56:35.6265293Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T08:56:35.6265689Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T08:56:35.6266087Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-09-07T08:56:35.6266484Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-09-07T08:56:35.6266880Z * [new branch] aoti-cuda-alloc -> origin/aoti-cuda-alloc 2025-09-07T08:56:35.6267421Z * [new branch] aoti_target_windows -> origin/aoti_target_windows 2025-09-07T08:56:35.6267806Z * [new branch] aoti_weight_sharing -> origin/aoti_weight_sharing 2025-09-07T08:56:35.6268256Z * [new branch] atalman-inductor-perf-cu124 -> origin/atalman-inductor-perf-cu124 2025-09-07T08:56:35.6268960Z * [new branch] atalman-inductor-perf-cu124.1 -> origin/atalman-inductor-perf-cu124.1 2025-09-07T08:56:35.6269444Z * [new branch] atalman-patch-1 -> origin/atalman-patch-1 2025-09-07T08:56:35.6269833Z * [new branch] atalman-patch-3 -> origin/atalman-patch-3 2025-09-07T08:56:35.6270211Z * [new branch] atalman-patch-4 -> origin/atalman-patch-4 2025-09-07T08:56:35.6270601Z * [new branch] atalman-patch-5 -> origin/atalman-patch-5 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2025-09-07T08:56:35.7435313Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T08:56:35.7435659Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T08:56:35.7435793Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T08:56:35.7436036Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T08:56:35.7436179Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T08:56:35.7436322Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T08:56:35.7436456Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T08:56:35.7436600Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T08:56:35.7436732Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T08:56:35.7436864Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T08:56:35.7437009Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T08:56:35.7437143Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T08:56:35.7437409Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T08:56:35.7437597Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T08:56:35.7437783Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T08:56:35.7437968Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T08:56:35.7438289Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T08:56:35.7438456Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T08:56:35.7438613Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T08:56:35.7438779Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T08:56:35.7438938Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T08:56:35.7439101Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T08:56:35.7439279Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T08:56:35.7439431Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T08:56:35.7439589Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T08:56:35.7439736Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T08:56:35.7439903Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T08:56:35.7440050Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T08:56:35.7440197Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T08:56:35.7440352Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T08:56:35.7440496Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T08:56:35.7440660Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T08:56:35.7440808Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T08:56:35.7440964Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T08:56:35.7441109Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T08:56:35.7441234Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T08:56:35.7441365Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T08:56:35.7441484Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T08:56:35.7441752Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T08:56:35.7441883Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T08:56:35.7442185Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T08:56:35.7442438Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T08:56:35.7442628Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T08:56:35.7442825Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T08:56:35.7443003Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T08:56:35.7443163Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T08:56:35.7443316Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T08:56:35.7443469Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T08:56:35.7443628Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T08:56:35.7443776Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 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2025-09-07T08:56:35.7445558Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T08:56:35.7445694Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T08:56:35.7445840Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T08:56:35.7445984Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T08:56:35.7446119Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T08:56:35.7446253Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T08:56:35.7446401Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T08:56:35.7446541Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T08:56:35.7446680Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T08:56:35.7446813Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T08:56:35.7446946Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T08:56:35.7447089Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T08:56:35.7447485Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T08:56:35.7447647Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T08:56:35.7447785Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T08:56:35.7447942Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T08:56:35.7448080Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T08:56:35.7448212Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T08:56:35.7448352Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T08:56:35.7448491Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T08:56:35.7448631Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T08:56:35.7448768Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T08:56:35.7448906Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T08:56:35.7449047Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T08:56:35.7449179Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T08:56:35.7449509Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T08:56:35.7449648Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T08:56:35.7449789Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T08:56:35.7449922Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-09-07T08:56:35.7450055Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T08:56:35.7450196Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T08:56:35.7450335Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T08:56:35.7450478Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T08:56:35.7450613Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T08:56:35.7450751Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T08:56:35.7450889Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T08:56:35.7451020Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T08:56:35.7451162Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T08:56:35.7451296Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T08:56:35.7451446Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T08:56:35.7451591Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T08:56:35.7451727Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T08:56:35.7451867Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T08:56:35.7452000Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T08:56:35.7452145Z * [new tag] ciflow/inductor/160928 -> ciflow/inductor/160928 2025-09-07T08:56:35.7452290Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T08:56:35.7452436Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T08:56:35.7452572Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T08:56:35.7452705Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T08:56:35.7452974Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T08:56:35.7453124Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T08:56:35.7453272Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T08:56:35.7453408Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T08:56:35.7453547Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T08:56:35.7453690Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T08:56:35.7453822Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T08:56:35.7453962Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T08:56:35.7454097Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T08:56:35.7454241Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T08:56:35.7454378Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T08:56:35.7454512Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T08:56:35.7454653Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T08:56:35.7454998Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T08:56:35.7455145Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T08:56:35.7455278Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T08:56:35.7455413Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T08:56:35.7455552Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T08:56:35.7455694Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T08:56:35.7455834Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T08:56:35.7455968Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T08:56:35.7456120Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T08:56:35.7456259Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T08:56:35.7456394Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T08:56:35.7456537Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T08:56:35.7456669Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T08:56:35.7456806Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T08:56:35.7456947Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T08:56:35.7457079Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T08:56:35.7457218Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T08:56:35.7457489Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T08:56:35.7457640Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T08:56:35.7457774Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T08:56:35.7457921Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T08:56:35.7458058Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T08:56:35.7458192Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T08:56:35.7458332Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T08:56:35.7458617Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T08:56:35.7458770Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T08:56:35.7458911Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T08:56:35.7459049Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T08:56:35.7459190Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T08:56:35.7459324Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T08:56:35.7459465Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T08:56:35.7459601Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T08:56:35.7459740Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T08:56:35.7459881Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T08:56:35.7460017Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T08:56:35.7460158Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T08:56:35.7460290Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T08:56:35.7460582Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T08:56:35.7460716Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T08:56:35.7460862Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T08:56:35.7461001Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T08:56:35.7461147Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T08:56:35.7461293Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T08:56:35.7461431Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T08:56:35.7461571Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T08:56:35.7461702Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T08:56:35.7461841Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T08:56:35.7461981Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T08:56:35.7462114Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T08:56:35.7462254Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T08:56:35.7462390Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T08:56:35.7462529Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T08:56:35.7462671Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T08:56:35.7462813Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T08:56:35.7462959Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T08:56:35.7463097Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T08:56:35.7463236Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T08:56:35.7463368Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T08:56:35.7463500Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T08:56:35.7463643Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T08:56:35.7463877Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T08:56:35.7464022Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T08:56:35.7464158Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T08:56:35.7464292Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T08:56:35.7464437Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T08:56:35.7464570Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T08:56:35.7464708Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T08:56:35.7464847Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T08:56:35.7464986Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T08:56:35.7465123Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T08:56:35.7465258Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T08:56:35.7465411Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T08:56:35.7465546Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T08:56:35.7465796Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T08:56:35.7465933Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T08:56:35.7466070Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T08:56:35.7466213Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T08:56:35.7466352Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T08:56:35.7466495Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T08:56:35.7466630Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T08:56:35.7466770Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T08:56:35.7466907Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T08:56:35.7467046Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T08:56:35.7467186Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T08:56:35.7467457Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T08:56:35.7467606Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T08:56:35.7467739Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T08:56:35.7467880Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T08:56:35.7468022Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T08:56:35.7468155Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T08:56:35.7468294Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T08:56:35.7468434Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T08:56:35.7468585Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T08:56:35.7468721Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T08:56:35.7468856Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T08:56:35.7468994Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T08:56:35.7469128Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T08:56:35.7469425Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T08:56:35.7469567Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T08:56:35.7469707Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T08:56:35.7469853Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T08:56:35.7469992Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T08:56:35.7470130Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T08:56:35.7470262Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T08:56:35.7470404Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T08:56:35.7470536Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T08:56:35.7470682Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T08:56:35.7470825Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T08:56:35.7470959Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T08:56:35.7471096Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T08:56:35.7471411Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T08:56:35.7471566Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T08:56:35.7471702Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T08:56:35.7471833Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T08:56:35.7471970Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T08:56:35.7472107Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T08:56:35.7472262Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T08:56:35.7472405Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T08:56:35.7472544Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T08:56:35.7472714Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T08:56:35.7472868Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T08:56:35.7473024Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T08:56:35.7473157Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T08:56:35.7473287Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T08:56:35.7473410Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T08:56:35.7473541Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T08:56:35.7473666Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T08:56:35.7473783Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T08:56:35.7473931Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T08:56:35.7474067Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T08:56:35.7474223Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T08:56:35.7474432Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T08:56:35.7474629Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T08:56:35.7474894Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T08:56:35.7475042Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T08:56:35.7475188Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T08:56:35.7475324Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T08:56:35.7475462Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T08:56:35.7475610Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T08:56:35.7475752Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T08:56:35.7475895Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T08:56:35.7476035Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T08:56:35.7476194Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T08:56:35.7476379Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T08:56:35.7476552Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T08:56:35.7476724Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T08:56:35.7476997Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T08:56:35.7477184Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T08:56:35.7477464Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T08:56:35.7477623Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T08:56:35.7477770Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T08:56:35.7477911Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T08:56:35.7478052Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T08:56:35.7478186Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T08:56:35.7478329Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T08:56:35.7478470Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T08:56:35.7478602Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T08:56:35.7478743Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T08:56:35.7478876Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T08:56:35.7479017Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T08:56:35.7479152Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T08:56:35.7479286Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T08:56:35.7479423Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T08:56:35.7479559Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T08:56:35.7479696Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T08:56:35.7479815Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T08:56:35.7479950Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T08:56:35.7488558Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T08:56:35.7488791Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T08:56:35.7489173Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T08:56:35.7489321Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T08:56:35.7489461Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T08:56:35.7489586Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T08:56:35.7489714Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T08:56:35.7489846Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T08:56:35.7489966Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T08:56:35.7490093Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T08:56:35.7490216Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T08:56:35.7490341Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T08:56:35.7490490Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T08:56:35.7490617Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T08:56:35.7491006Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T08:56:35.7491308Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T08:56:35.7491453Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T08:56:35.7491577Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T08:56:35.7491704Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T08:56:35.7491835Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T08:56:35.7491965Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T08:56:35.7492096Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T08:56:35.7492221Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T08:56:35.7492343Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T08:56:35.7492478Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T08:56:35.7492820Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T08:56:35.7492953Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T08:56:35.7493079Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T08:56:35.7493213Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T08:56:35.7493336Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T08:56:35.7493471Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T08:56:35.7493829Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T08:56:35.7494006Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T08:56:35.7494144Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T08:56:35.7494265Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T08:56:35.7494391Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T08:56:35.7494523Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T08:56:35.7494641Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T08:56:35.7494882Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T08:56:35.7495123Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T08:56:35.7495257Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T08:56:35.7495380Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T08:56:35.7495508Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T08:56:35.7495636Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T08:56:35.7495757Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T08:56:35.7495885Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T08:56:35.7496006Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T08:56:35.7496139Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T08:56:35.7496260Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T08:56:35.7496381Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T08:56:35.7496512Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T08:56:35.7496752Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T08:56:35.7496883Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T08:56:35.7497016Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T08:56:35.7497146Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T08:56:35.7497409Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T08:56:35.7497551Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T08:56:35.7497684Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T08:56:35.7497804Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T08:56:35.7497933Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T08:56:35.7498056Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T08:56:35.7498182Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T08:56:35.7498311Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T08:56:35.7498434Z * [new tag] ciflow/trunk/160483 -> ciflow/trunk/160483 2025-09-07T08:56:35.7498566Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T08:56:35.7498693Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T08:56:35.7498820Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T08:56:35.7498951Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T08:56:35.7499074Z * [new tag] ciflow/trunk/160928 -> ciflow/trunk/160928 2025-09-07T08:56:35.7499205Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T08:56:35.7499332Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T08:56:35.7499456Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T08:56:35.7499588Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T08:56:35.7499709Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T08:56:35.7499852Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T08:56:35.7500152Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T08:56:35.7500308Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T08:56:35.7500441Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T08:56:35.7500565Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T08:56:35.7500704Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T08:56:35.7500828Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T08:56:35.7500956Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T08:56:35.7501078Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T08:56:35.7501200Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T08:56:35.7501331Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T08:56:35.7501459Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T08:56:35.7501586Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T08:56:35.7501705Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T08:56:35.7501832Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T08:56:35.7502111Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T08:56:35.7502235Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T08:56:35.7502381Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T08:56:35.7502506Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T08:56:35.7502638Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T08:56:35.7502763Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T08:56:35.7502885Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T08:56:35.7503015Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T08:56:35.7503138Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T08:56:35.7503276Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T08:56:35.7503412Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T08:56:35.7503544Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T08:56:35.7503668Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T08:56:35.7503791Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T08:56:35.7503923Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T08:56:35.7504049Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T08:56:35.7504180Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T08:56:35.7504302Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T08:56:35.7504436Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T08:56:35.7504570Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T08:56:35.7504693Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T08:56:35.7504829Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T08:56:35.7504949Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T08:56:35.7505077Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T08:56:35.7505298Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T08:56:35.7505426Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T08:56:35.7505561Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T08:56:35.7505683Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T08:56:35.7505828Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T08:56:35.7505954Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T08:56:35.7506076Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T08:56:35.7506216Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T08:56:35.7506341Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T08:56:35.7506473Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T08:56:35.7506595Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T08:56:35.7506728Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T08:56:35.7506850Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T08:56:35.7507087Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T08:56:35.7507227Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T08:56:35.7507501Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T08:56:35.7507637Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T08:56:35.7507760Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T08:56:35.7507892Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T08:56:35.7508037Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T08:56:35.7508159Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T08:56:35.7508286Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T08:56:35.7508406Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T08:56:35.7508538Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T08:56:35.7508661Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T08:56:35.7508782Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T08:56:35.7508910Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T08:56:35.7509034Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T08:56:35.7509165Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T08:56:35.7509287Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T08:56:35.7509408Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T08:56:35.7509535Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T08:56:35.7509663Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T08:56:35.7509794Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T08:56:35.7509918Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T08:56:35.7510044Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T08:56:35.7510177Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T08:56:35.7510336Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T08:56:35.7510632Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T08:56:35.7510774Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T08:56:35.7510905Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T08:56:35.7511024Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T08:56:35.7511158Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T08:56:35.7511286Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T08:56:35.7511406Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T08:56:35.7511533Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T08:56:35.7511650Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T08:56:35.7511771Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T08:56:35.7511896Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T08:56:35.7512014Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T08:56:35.7512139Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T08:56:35.7512401Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T08:56:35.7512528Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T08:56:35.7512647Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T08:56:35.7512766Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T08:56:35.7512902Z * [new tag] cslpull75 -> cslpull75 2025-09-07T08:56:35.7513015Z * [new tag] cslpull76 -> cslpull76 2025-09-07T08:56:35.7513130Z * [new tag] cslpull77 -> cslpull77 2025-09-07T08:56:35.7513236Z * [new tag] cslpull78 -> cslpull78 2025-09-07T08:56:35.7513340Z * [new tag] cslpull79 -> cslpull79 2025-09-07T08:56:35.7513450Z * [new tag] cslpull80 -> cslpull80 2025-09-07T08:56:35.7513572Z * [new tag] cslpull81 -> cslpull81 2025-09-07T08:56:35.7513688Z * [new tag] cslpull82 -> cslpull82 2025-09-07T08:56:35.7513798Z * [new tag] cslpull83 -> cslpull83 2025-09-07T08:56:35.7513907Z * [new tag] cslpull84 -> cslpull84 2025-09-07T08:56:35.7514011Z * [new tag] cslpull85 -> cslpull85 2025-09-07T08:56:35.7514114Z * [new tag] cslpull86 -> cslpull86 2025-09-07T08:56:35.7514230Z * [new tag] cslpull87 -> cslpull87 2025-09-07T08:56:35.7514335Z * [new tag] cslpull88 -> cslpull88 2025-09-07T08:56:35.7514446Z * [new tag] cslpull89 -> cslpull89 2025-09-07T08:56:35.7514555Z * [new tag] cslpull90 -> cslpull90 2025-09-07T08:56:35.7514674Z * [new tag] cslpull91 -> cslpull91 2025-09-07T08:56:35.7514801Z * [new tag] cslpull92 -> cslpull92 2025-09-07T08:56:35.7514920Z * [new tag] flight_5 -> flight_5 2025-09-07T08:56:35.7515044Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T08:56:35.7515165Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T08:56:35.7515272Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T08:56:35.7515498Z * [new tag] forpull1 -> forpull1 2025-09-07T08:56:35.7515641Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T08:56:35.7515780Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T08:56:35.7515908Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T08:56:35.7516047Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T08:56:35.7516187Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T08:56:35.7516313Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T08:56:35.7516598Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T08:56:35.7516876Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T08:56:35.7517159Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T08:56:35.7517588Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T08:56:35.7517864Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T08:56:35.7518302Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T08:56:35.7518565Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T08:56:35.7518844Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T08:56:35.7519108Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T08:56:35.7519385Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T08:56:35.7519653Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T08:56:35.7519923Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T08:56:35.7520199Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T08:56:35.7520464Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T08:56:35.7520746Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T08:56:35.7521021Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T08:56:35.7521301Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T08:56:35.7521566Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T08:56:35.7521844Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T08:56:35.7522124Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T08:56:35.7522396Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T08:56:35.7522661Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T08:56:35.7523124Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T08:56:35.7523416Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T08:56:35.7523697Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T08:56:35.7523968Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T08:56:35.7524238Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T08:56:35.7524514Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T08:56:35.7524783Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T08:56:35.7525062Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T08:56:35.7525334Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T08:56:35.7525715Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T08:56:35.7525995Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T08:56:35.7526267Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T08:56:35.7526546Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T08:56:35.7526819Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T08:56:35.7527091Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T08:56:35.7527490Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T08:56:35.7527762Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T08:56:35.7528039Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T08:56:35.7528304Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T08:56:35.7528586Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T08:56:35.7528859Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T08:56:35.7529131Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T08:56:35.7529391Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T08:56:35.7529666Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T08:56:35.7529948Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T08:56:35.7530206Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T08:56:35.7530625Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T08:56:35.7530911Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T08:56:35.7531194Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T08:56:35.7531460Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T08:56:35.7531740Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T08:56:35.7532006Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T08:56:35.7532278Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T08:56:35.7532569Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T08:56:35.7532839Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T08:56:35.7533113Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T08:56:35.7533516Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T08:56:35.7533792Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T08:56:35.7534067Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T08:56:35.7534345Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T08:56:35.7534618Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T08:56:35.7534880Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T08:56:35.7535230Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T08:56:35.7535514Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T08:56:35.7535792Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T08:56:35.7536072Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T08:56:35.7536355Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T08:56:35.7536622Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T08:56:35.7536894Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T08:56:35.7537167Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T08:56:35.7537552Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T08:56:35.7537833Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T08:56:35.7538108Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T08:56:35.7538537Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T08:56:35.7538825Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T08:56:35.7539113Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T08:56:35.7539401Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T08:56:35.7539676Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T08:56:35.7539951Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T08:56:35.7540227Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T08:56:35.7540500Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T08:56:35.7540768Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T08:56:35.7541199Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T08:56:35.7541472Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T08:56:35.7541748Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T08:56:35.7542009Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T08:56:35.7542284Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T08:56:35.7542571Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T08:56:35.7542844Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T08:56:35.7543118Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T08:56:35.7543384Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T08:56:35.7543653Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T08:56:35.7543929Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T08:56:35.7544200Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T08:56:35.7544495Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T08:56:35.7544763Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T08:56:35.7545055Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T08:56:35.7545324Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T08:56:35.7545600Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T08:56:35.7545973Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T08:56:35.7546250Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T08:56:35.7546511Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T08:56:35.7546780Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T08:56:35.7547058Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T08:56:35.7547438Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T08:56:35.7547715Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T08:56:35.7547985Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T08:56:35.7548269Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T08:56:35.7548532Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T08:56:35.7548990Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T08:56:35.7549275Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T08:56:35.7549538Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T08:56:35.7549823Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T08:56:35.7550079Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T08:56:35.7550356Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T08:56:35.7550624Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T08:56:35.7550905Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T08:56:35.7551175Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T08:56:35.7551439Z * [new tag] trunk/7a83cf430e97d83d6fb14880b9049e77ff725685 -> trunk/7a83cf430e97d83d6fb14880b9049e77ff725685 2025-09-07T08:56:35.7551723Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T08:56:35.7551985Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T08:56:35.7552250Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T08:56:35.7552510Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T08:56:35.7552800Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T08:56:35.7553072Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T08:56:35.7553496Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T08:56:35.7553778Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T08:56:35.7554048Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T08:56:35.7554327Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T08:56:35.7554601Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T08:56:35.7554888Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T08:56:35.7555159Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T08:56:35.7555440Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T08:56:35.7555708Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T08:56:35.7555972Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T08:56:35.7556359Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T08:56:35.7556625Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T08:56:35.7556894Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T08:56:35.7557167Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T08:56:35.7557589Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T08:56:35.7557865Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T08:56:35.7558133Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T08:56:35.7558410Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T08:56:35.7558670Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T08:56:35.7558944Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T08:56:35.7559211Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:56:35.7559488Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T08:56:35.7559755Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T08:56:35.7560025Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T08:56:35.7560287Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T08:56:35.7560555Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T08:56:35.7560825Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T08:56:35.7561245Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T08:56:35.7561535Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T08:56:35.7561810Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T08:56:35.7562101Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T08:56:35.7562371Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T08:56:35.7562639Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T08:56:35.7562895Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T08:56:35.7563173Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T08:56:35.7563450Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T08:56:35.7563714Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T08:56:35.7564129Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T08:56:35.7564418Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T08:56:35.7564694Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T08:56:35.7564967Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T08:56:35.7565225Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T08:56:35.7565498Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T08:56:35.7565765Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T08:56:35.7566033Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T08:56:35.7566296Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T08:56:35.7566572Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T08:56:35.7566856Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T08:56:35.7567129Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T08:56:35.7567533Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T08:56:35.7567816Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T08:56:35.7568099Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T08:56:35.7568370Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T08:56:35.7568796Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T08:56:35.7569069Z * [new tag] trunk/ada43ed39c80b746b4822c92640a1882619e2795 -> trunk/ada43ed39c80b746b4822c92640a1882619e2795 2025-09-07T08:56:35.7569356Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T08:56:35.7569640Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T08:56:35.7569919Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T08:56:35.7570186Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T08:56:35.7570457Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T08:56:35.7570736Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T08:56:35.7571004Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T08:56:35.7571282Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T08:56:35.7571692Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T08:56:35.7571986Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T08:56:35.7572255Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T08:56:35.7572516Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T08:56:35.7572791Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T08:56:35.7573071Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T08:56:35.7573344Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T08:56:35.7573617Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T08:56:35.7573885Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T08:56:35.7574153Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T08:56:35.7574437Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T08:56:35.7574699Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T08:56:35.7575049Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T08:56:35.7575341Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T08:56:35.7575602Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T08:56:35.7575878Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T08:56:35.7576151Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T08:56:35.7576557Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T08:56:35.7576844Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T08:56:35.7577109Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T08:56:35.7577522Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T08:56:35.7577808Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T08:56:35.7578077Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T08:56:35.7578337Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T08:56:35.7578604Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T08:56:35.7578873Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T08:56:35.7579332Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T08:56:35.7579600Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T08:56:35.7579871Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T08:56:35.7580139Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T08:56:35.7580422Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T08:56:35.7580701Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T08:56:35.7580969Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T08:56:35.7581250Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T08:56:35.7581517Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T08:56:35.7581780Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T08:56:35.7582056Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T08:56:35.7582320Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T08:56:35.7582607Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T08:56:35.7582874Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T08:56:35.7583150Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T08:56:35.7583416Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T08:56:35.7583690Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T08:56:35.7584096Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T08:56:35.7584369Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T08:56:35.7584654Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T08:56:35.7584924Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T08:56:35.7585190Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T08:56:35.7585460Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T08:56:35.7585728Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T08:56:35.7586004Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T08:56:35.7586295Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T08:56:35.7586576Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T08:56:35.7586954Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T08:56:35.7587229Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T08:56:35.7587618Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T08:56:35.7587914Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T08:56:35.7588179Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T08:56:35.7588452Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T08:56:35.7588726Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T08:56:35.7588991Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T08:56:35.7589259Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T08:56:35.7589526Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T08:56:35.7589806Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T08:56:35.7590063Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T08:56:35.7590328Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T08:56:35.7590605Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T08:56:35.7590907Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T08:56:35.7591176Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T08:56:35.7591452Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T08:56:35.7591875Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T08:56:35.7592154Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T08:56:35.7592422Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T08:56:35.7592694Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T08:56:35.7592960Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T08:56:35.7593232Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T08:56:35.7593509Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T08:56:35.7593795Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T08:56:35.7594065Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T08:56:35.7594478Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T08:56:35.7594764Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T08:56:35.7595046Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T08:56:35.7595319Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T08:56:35.7595597Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T08:56:35.7595861Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T08:56:35.7595974Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T08:56:35.7596092Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T08:56:35.7596191Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T08:56:35.7596295Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T08:56:35.7596413Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T08:56:35.7596517Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T08:56:35.7596621Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T08:56:35.7596723Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T08:56:35.7596837Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T08:56:35.7596938Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T08:56:35.7597044Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T08:56:35.7597152Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T08:56:35.7597381Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T08:56:35.7597491Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T08:56:35.7597590Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T08:56:35.7597693Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T08:56:35.7597790Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T08:56:35.7597900Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T08:56:35.7598169Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T08:56:35.7598280Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T08:56:35.7598402Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T08:56:35.7598505Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T08:56:35.7598609Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T08:56:35.7598723Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T08:56:35.7598822Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T08:56:35.7598947Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T08:56:35.7599057Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T08:56:35.7599162Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T08:56:35.7599274Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T08:56:35.7599385Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T08:56:35.7599502Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T08:56:35.7599613Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T08:56:35.7599718Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T08:56:35.7599984Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T08:56:35.7600092Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T08:56:35.7600205Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T08:56:35.7600310Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T08:56:35.7600421Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T08:56:35.7600535Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T08:56:35.7600653Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T08:56:35.7600763Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T08:56:35.7600867Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T08:56:35.7600980Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T08:56:35.7601090Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T08:56:35.7601207Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T08:56:35.7601320Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T08:56:35.7601423Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T08:56:35.7601529Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T08:56:35.7601635Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T08:56:35.7601748Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T08:56:35.7601865Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T08:56:35.7601973Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T08:56:35.7602087Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T08:56:35.7602196Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T08:56:35.7602306Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T08:56:35.7602407Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T08:56:35.7602511Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T08:56:35.7602621Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T08:56:35.7602722Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T08:56:35.7602955Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T08:56:35.7603065Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T08:56:35.7603183Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T08:56:35.7603290Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T08:56:35.7603400Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T08:56:35.7603507Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T08:56:35.7603615Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T08:56:35.7603720Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T08:56:35.7603825Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T08:56:35.7603926Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T08:56:35.7604030Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T08:56:35.7604136Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T08:56:35.7604242Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T08:56:35.7604341Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T08:56:35.7604451Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T08:56:35.7604682Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T08:56:35.7604788Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T08:56:35.7604912Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T08:56:35.7605019Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T08:56:35.7605120Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T08:56:35.7605234Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T08:56:35.7605340Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T08:56:35.7605449Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T08:56:35.7605554Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T08:56:35.7605666Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T08:56:35.7605777Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T08:56:35.7605881Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T08:56:35.7605991Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T08:56:35.7606095Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T08:56:35.7606201Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T08:56:35.7606304Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T08:56:35.7606409Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T08:56:35.7606519Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T08:56:35.7606621Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T08:56:35.7606727Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T08:56:35.7606845Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T08:56:35.7606954Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T08:56:35.7607063Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T08:56:35.7607162Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T08:56:35.7607406Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T08:56:35.7607527Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T08:56:35.7607633Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T08:56:35.7607907Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T08:56:35.7608025Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T08:56:35.7608141Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T08:56:35.7608246Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T08:56:35.7608372Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T08:56:35.7608480Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T08:56:35.7608582Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T08:56:35.7608693Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T08:56:35.7608791Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T08:56:35.7608906Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T08:56:35.7609019Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T08:56:35.7609122Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T08:56:35.7609234Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T08:56:35.7609344Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T08:56:35.7609600Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T08:56:35.7609706Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T08:56:35.7609808Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T08:56:35.7609921Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T08:56:35.7610027Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T08:56:35.7610138Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T08:56:35.7610248Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T08:56:35.7610357Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T08:56:35.7610462Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T08:56:35.7610562Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T08:56:35.7610671Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T08:56:35.7610788Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T08:56:35.7610900Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T08:56:35.7611006Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T08:56:35.7611107Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T08:56:35.7611219Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T08:56:35.7611324Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T08:56:35.7611437Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T08:56:35.7611539Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T08:56:35.7611644Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T08:56:35.7611753Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T08:56:35.7611866Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T08:56:35.7611973Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T08:56:35.7612075Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T08:56:35.7612183Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T08:56:35.7612288Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T08:56:35.7612390Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T08:56:35.7612607Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T08:56:35.7612713Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T08:56:35.7612834Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T08:56:35.7612939Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T08:56:35.7613046Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T08:56:35.7613150Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T08:56:35.7613252Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T08:56:35.7613360Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T08:56:35.7613462Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T08:56:35.7613566Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T08:56:35.7613678Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T08:56:35.7613781Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T08:56:35.7613888Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T08:56:35.7613989Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T08:56:35.7614193Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T08:56:35.7614299Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T08:56:35.7614403Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T08:56:35.7614522Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T08:56:35.7614623Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T08:56:35.7614731Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T08:56:35.7614841Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T08:56:35.7615023Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T08:56:35.7615135Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T08:56:35.7615240Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T08:56:35.7615353Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T08:56:35.7615464Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T08:56:35.7615572Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T08:56:35.7615681Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T08:56:35.7615783Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T08:56:35.7615902Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T08:56:35.7616009Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T08:56:35.7616129Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T08:56:35.7616237Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T08:56:35.7616344Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T08:56:35.7616456Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T08:56:35.7616562Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T08:56:35.7616684Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T08:56:35.7616791Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T08:56:35.7616895Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T08:56:35.7617001Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T08:56:35.7617105Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T08:56:35.7617478Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T08:56:35.7617604Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T08:56:35.7617724Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T08:56:35.7617836Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T08:56:35.7617946Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T08:56:35.7618057Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T08:56:35.7618159Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T08:56:35.7618268Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T08:56:35.7618368Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T08:56:35.7618471Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T08:56:35.7618582Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T08:56:35.7618697Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T08:56:35.7618803Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T08:56:35.7618908Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T08:56:35.7619026Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T08:56:35.7619292Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T08:56:35.7619400Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T08:56:35.7619509Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T08:56:35.7619612Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T08:56:35.7619719Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T08:56:35.7619838Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T08:56:35.7619948Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T08:56:35.7620061Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T08:56:35.7620159Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T08:56:35.7620271Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T08:56:35.7620377Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T08:56:35.7620480Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T08:56:35.7620591Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T08:56:35.7620693Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T08:56:35.7620804Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T08:56:35.7620907Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T08:56:35.7621026Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T08:56:35.7621141Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T08:56:35.7621250Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T08:56:35.7621362Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T08:56:35.7621466Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T08:56:35.7621572Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T08:56:35.7621701Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T08:56:35.7621804Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T08:56:35.7621916Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T08:56:35.7622030Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T08:56:35.7622297Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T08:56:35.7622415Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T08:56:35.7622530Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T08:56:35.7622643Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T08:56:35.7622750Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T08:56:35.7622858Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T08:56:35.7622963Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T08:56:35.7623066Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T08:56:35.7623178Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T08:56:35.7623282Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T08:56:35.7623395Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T08:56:35.7623494Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T08:56:35.7623604Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T08:56:35.7623706Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T08:56:35.7623809Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T08:56:35.7624044Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T08:56:35.7624147Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T08:56:35.7624254Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T08:56:35.7624355Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T08:56:35.7624469Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T08:56:35.7624587Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T08:56:35.7624717Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T08:56:35.7624845Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T08:56:36.4950386Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T08:56:36.4980221Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:56:36.4985376Z ##[endgroup] 2025-09-07T08:56:36.4985770Z ##[group]Determining the checkout info 2025-09-07T08:56:36.4986186Z ##[endgroup] 2025-09-07T08:56:36.4989278Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T08:56:36.5043161Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T08:56:36.5076906Z ##[group]Checking out the ref 2025-09-07T08:56:36.5080710Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:56:37.5420094Z Updating files: 86% (16691/19405) 2025-09-07T08:56:37.5545421Z Updating files: 87% (16883/19405) 2025-09-07T08:56:37.5643131Z Updating files: 88% (17077/19405) 2025-09-07T08:56:37.5776313Z Updating files: 89% (17271/19405) 2025-09-07T08:56:37.5937213Z Updating files: 90% (17465/19405) 2025-09-07T08:56:37.6045840Z Updating files: 91% (17659/19405) 2025-09-07T08:56:37.6180910Z Updating files: 92% (17853/19405) 2025-09-07T08:56:37.6354684Z Updating files: 93% (18047/19405) 2025-09-07T08:56:37.6543506Z 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You can look around, make experimental 2025-09-07T08:56:37.7636354Z changes and commit them, and you can discard any commits you make in this 2025-09-07T08:56:37.7636910Z state without impacting any branches by switching back to a branch. 2025-09-07T08:56:37.7637230Z 2025-09-07T08:56:37.7637661Z If you want to create a new branch to retain commits you create, you may 2025-09-07T08:56:37.7638178Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T08:56:37.7638546Z 2025-09-07T08:56:37.7638666Z git switch -c 2025-09-07T08:56:37.7638872Z 2025-09-07T08:56:37.7638980Z Or undo this operation with: 2025-09-07T08:56:37.7639160Z 2025-09-07T08:56:37.7639268Z git switch - 2025-09-07T08:56:37.7639400Z 2025-09-07T08:56:37.7639642Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T08:56:37.7639988Z 2025-09-07T08:56:37.7640174Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T08:56:37.7763251Z ##[endgroup] 2025-09-07T08:56:37.7763657Z ##[group]Setting up auth for fetching submodules 2025-09-07T08:56:37.7769684Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T08:56:37.7819205Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T08:56:37.7851408Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T08:56:37.7882764Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T08:56:37.7910353Z ##[endgroup] 2025-09-07T08:56:37.7910730Z ##[group]Fetching submodules 2025-09-07T08:56:37.7913418Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T08:56:37.8201320Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T08:56:37.8470892Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T08:56:37.8485946Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T08:56:37.8501546Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T08:56:37.8516458Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T08:56:37.8530682Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T08:56:37.8544958Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T08:56:37.8558692Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T08:56:37.8572444Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T08:56:37.8586371Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T08:56:37.8599996Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T08:56:37.8612823Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T08:56:37.8625737Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T08:56:37.8638960Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T08:56:37.8651511Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T08:56:37.8664543Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T08:56:37.8676389Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T08:56:37.8688532Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T08:56:37.8700331Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T08:56:37.8712341Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T08:56:37.8724490Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T08:56:37.8736959Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T08:56:37.8749193Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T08:56:37.8761213Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T08:56:37.8772853Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T08:56:37.8785103Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T08:56:37.8796468Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T08:56:37.8808885Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T08:56:37.8821300Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T08:56:37.8833619Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T08:56:37.8845057Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T08:56:37.8856826Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T08:56:37.8868904Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T08:56:37.8880667Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T08:56:37.8892921Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T08:56:37.8904708Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T08:56:37.8916199Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T08:56:37.8928633Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T08:56:37.8962167Z Cloning into '/home/frank/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T08:56:38.1574022Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T08:56:38.3755060Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T08:56:38.5812014Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T08:56:38.8260081Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T08:56:39.2079957Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T08:56:40.2044418Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T08:56:48.7867864Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T08:56:54.4504651Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T08:56:55.1597704Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T08:56:57.9765492Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T08:56:58.4543914Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T08:56:59.0250187Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T08:56:59.9712632Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T08:57:01.7481383Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T08:57:03.1564629Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T08:57:03.6388363Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T08:57:04.7439225Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T08:57:05.5959708Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T08:57:05.9671212Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T08:57:06.3424202Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T08:57:07.1356411Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T08:57:07.4580530Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T08:57:07.8540747Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T08:57:08.8845235Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T08:57:09.3283219Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T08:57:10.1445106Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T08:57:15.7365607Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T08:57:18.1336588Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T08:57:22.7243474Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T08:57:22.9630707Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T08:57:29.9324310Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T08:57:30.1287846Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T08:57:30.3594259Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T08:57:31.1674065Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T08:57:31.5303635Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T08:57:32.2682175Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T08:57:32.6611523Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T08:57:32.6741230Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T08:57:32.6846236Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T08:57:32.7111030Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T08:57:32.7879029Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T08:57:32.8413023Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T08:57:33.5863676Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T08:57:33.7396629Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T08:57:33.7432747Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T08:57:33.7466276Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T08:57:36.8489309Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T08:57:36.8735999Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T08:57:37.1957816Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T08:57:37.2450150Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T08:57:37.3414898Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T08:57:37.3848504Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T08:57:38.0155674Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T08:57:38.1642631Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T08:57:38.1685800Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T08:57:38.1702967Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T08:57:38.1719780Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T08:57:38.1735710Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T08:57:38.1751121Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T08:57:38.1766240Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T08:57:38.1780903Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T08:57:38.1812716Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T08:57:39.3377947Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T08:57:40.2295818Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T08:57:40.8010474Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T08:57:43.0883279Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T08:57:43.8567666Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T08:57:44.1494277Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T08:57:49.4224629Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T08:57:49.6867752Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T08:57:49.7849474Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T08:57:50.4280295Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T08:57:50.4737820Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T08:57:50.4868416Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T08:57:50.5916869Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T08:57:50.6647688Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T08:57:50.6680439Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T08:57:50.6693137Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T08:57:50.6726921Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T08:57:53.4816350Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T08:57:55.4856705Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T08:57:56.0650062Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T08:57:56.2099538Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T08:57:56.2420189Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T08:57:56.2816332Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T08:57:56.3076206Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T08:57:56.3515458Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T08:57:56.3658473Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T08:57:56.3687785Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T08:57:56.3717816Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T08:58:07.1923022Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T08:58:07.2138799Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T08:58:07.2988900Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T08:58:07.3016696Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T08:58:07.3027084Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T08:58:07.3038785Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T08:58:07.3067849Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T08:58:07.7924406Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T08:58:08.6432764Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T08:58:09.5092001Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T08:58:09.5126050Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T08:58:09.5142372Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T08:58:09.5158359Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T08:58:09.5173399Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T08:58:09.5188373Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T08:58:09.5202557Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T08:58:09.5216805Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T08:58:09.5230918Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T08:58:09.5261974Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T08:58:11.2200332Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T08:58:11.6156464Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T08:58:12.4349836Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T08:58:12.7181946Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T08:58:13.1231148Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T08:58:13.8928041Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T08:58:19.2715975Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T08:58:19.6995018Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T08:58:19.7185536Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T08:58:19.7561040Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T08:58:19.7706011Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T08:58:19.7734404Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T08:58:19.7764362Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T08:58:20.0773201Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T08:58:20.0974926Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T08:58:20.1385488Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T08:58:20.2482798Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T08:58:20.2661778Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T08:58:20.3009107Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T08:58:20.3590160Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T08:58:20.4032367Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T08:58:20.4431320Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T08:58:20.5586197Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T08:58:21.0373962Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T08:58:21.0430485Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T08:58:21.0464156Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T08:58:22.4460711Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T08:58:22.5215522Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T08:58:22.5559782Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T08:58:22.5805693Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T08:58:22.6036843Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T08:58:22.6131764Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T08:58:22.6284070Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T08:58:22.6586781Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T08:58:22.6848937Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T08:58:22.7185520Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T08:58:22.7195163Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T08:58:23.1589022Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T08:58:23.9378665Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T08:58:24.2570524Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T08:58:30.7783292Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T08:58:31.0384600Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T08:58:31.2587924Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T08:58:31.5563207Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T08:58:37.3758981Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T08:58:37.4179352Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T08:58:37.4389281Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T08:58:37.5551473Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T08:58:37.5698956Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T08:58:37.5863261Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T08:58:37.6038454Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T08:58:37.6067521Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T08:58:37.6080905Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T08:58:37.6110774Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-09-07T08:58:39.0516842Z Cloning into '/home/frank/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-09-07T08:58:40.0478566Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T08:58:40.0960688Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T08:58:40.6388666Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T08:58:40.6524900Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T08:58:40.9256579Z Submodule path 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2025-09-07T08:58:47.6025614Z 7e1e1fe3858c63c251c637ae41a20de425dde96f android/libs/fbjni (v0.1.0-12-g7e1e1fe) 2025-09-07T08:58:47.6110121Z 4dfe081cf6bcd15db339cf2680b9281b8451eeb3 third_party/FP16 (4dfe081) 2025-09-07T08:58:47.6196312Z b408327ac2a15ec3e43352421954f5b1967701d1 third_party/FXdiv (b408327) 2025-09-07T08:58:47.6292407Z c07e3a0400713d546e0dea2d5466dd22ea389c73 third_party/NNPACK (c07e3a0) 2025-09-07T08:58:47.6348053Z 2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07 third_party/NVTX (v3.1.0-263-g2942f16) 2025-09-07T08:58:47.6431533Z 1d8f600fd424278486eade7ed3e877c99f0846b1 third_party/VulkanMemoryAllocator (v2.1.0-982-g1d8f600) 2025-09-07T08:58:47.6894937Z 51a0103656eff6fc9bfd39a4597923c4b542c883 third_party/XNNPACK (remotes/origin/ds/ndk-1243-g51a0103656) 2025-09-07T08:58:47.6936189Z 01aae101b9e5e94d6c16a9514c9fb8df99c93150 third_party/aiter (v0.1.1-92-g01aae101) 2025-09-07T08:58:47.6965936Z 299e5928955cc62af9968370293b916f5130916f third_party/benchmark (v1.9.3) 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http.https://github.com/.extraheader 2025-09-07T08:58:49.4302360Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T08:58:49.4329672Z http.https://github.com/.extraheader 2025-09-07T08:58:49.4375435Z Entering 'third_party/ittapi' 2025-09-07T08:58:49.4431631Z http.https://github.com/.extraheader 2025-09-07T08:58:49.4480478Z Entering 'third_party/kineto' 2025-09-07T08:58:49.4508003Z http.https://github.com/.extraheader 2025-09-07T08:58:49.4542641Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T08:58:49.4569748Z http.https://github.com/.extraheader 2025-09-07T08:58:49.4604729Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T08:58:49.4631183Z http.https://github.com/.extraheader 2025-09-07T08:58:49.4668269Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T08:58:49.4695632Z http.https://github.com/.extraheader 2025-09-07T08:58:49.4731672Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T08:58:49.4759663Z http.https://github.com/.extraheader 2025-09-07T08:58:49.4796177Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T08:58:49.4822536Z http.https://github.com/.extraheader 2025-09-07T08:58:49.4856593Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T08:58:49.4884040Z http.https://github.com/.extraheader 2025-09-07T08:58:49.4921425Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T08:58:49.4949821Z http.https://github.com/.extraheader 2025-09-07T08:58:49.4986141Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T08:58:49.5013166Z http.https://github.com/.extraheader 2025-09-07T08:58:49.5049711Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T08:58:49.5075832Z http.https://github.com/.extraheader 2025-09-07T08:58:49.5112752Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T08:58:49.5139004Z http.https://github.com/.extraheader 2025-09-07T08:58:49.5178345Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T08:58:49.5204628Z http.https://github.com/.extraheader 2025-09-07T08:58:49.5238739Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T08:58:49.5265133Z http.https://github.com/.extraheader 2025-09-07T08:58:49.5302570Z Entering 'third_party/kleidiai' 2025-09-07T08:58:49.5331300Z http.https://github.com/.extraheader 2025-09-07T08:58:49.5367227Z Entering 'third_party/mimalloc' 2025-09-07T08:58:49.5394810Z http.https://github.com/.extraheader 2025-09-07T08:58:49.5431394Z Entering 'third_party/nlohmann' 2025-09-07T08:58:49.5459788Z http.https://github.com/.extraheader 2025-09-07T08:58:49.5497515Z Entering 'third_party/onnx' 2025-09-07T08:58:49.5526644Z http.https://github.com/.extraheader 2025-09-07T08:58:49.5578758Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T08:58:49.5606265Z http.https://github.com/.extraheader 2025-09-07T08:58:49.5646696Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T08:58:49.5675497Z http.https://github.com/.extraheader 2025-09-07T08:58:49.5713615Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T08:58:49.5740461Z http.https://github.com/.extraheader 2025-09-07T08:58:49.5774671Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T08:58:49.5800286Z http.https://github.com/.extraheader 2025-09-07T08:58:49.5833663Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T08:58:49.5861973Z http.https://github.com/.extraheader 2025-09-07T08:58:49.5897205Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T08:58:49.5924699Z http.https://github.com/.extraheader 2025-09-07T08:58:49.5961285Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T08:58:49.5986726Z http.https://github.com/.extraheader 2025-09-07T08:58:49.6021371Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T08:58:49.6046963Z http.https://github.com/.extraheader 2025-09-07T08:58:49.6080381Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T08:58:49.6106454Z http.https://github.com/.extraheader 2025-09-07T08:58:49.6138960Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T08:58:49.6165912Z http.https://github.com/.extraheader 2025-09-07T08:58:49.6203595Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T08:58:49.6231865Z http.https://github.com/.extraheader 2025-09-07T08:58:49.6269958Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T08:58:49.6296093Z http.https://github.com/.extraheader 2025-09-07T08:58:49.6350983Z Entering 'third_party/pocketfft' 2025-09-07T08:58:49.6379799Z http.https://github.com/.extraheader 2025-09-07T08:58:49.6415863Z Entering 'third_party/protobuf' 2025-09-07T08:58:49.6444327Z http.https://github.com/.extraheader 2025-09-07T08:58:49.6482866Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T08:58:49.6511730Z http.https://github.com/.extraheader 2025-09-07T08:58:49.6547381Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T08:58:49.6574123Z http.https://github.com/.extraheader 2025-09-07T08:58:49.6612864Z Entering 'third_party/psimd' 2025-09-07T08:58:49.6642541Z http.https://github.com/.extraheader 2025-09-07T08:58:49.6678155Z Entering 'third_party/pthreadpool' 2025-09-07T08:58:49.6706989Z http.https://github.com/.extraheader 2025-09-07T08:58:49.6742465Z Entering 'third_party/pybind11' 2025-09-07T08:58:49.6769911Z http.https://github.com/.extraheader 2025-09-07T08:58:49.6805312Z Entering 'third_party/python-peachpy' 2025-09-07T08:58:49.6834762Z http.https://github.com/.extraheader 2025-09-07T08:58:49.6871246Z Entering 'third_party/sleef' 2025-09-07T08:58:49.6899915Z http.https://github.com/.extraheader 2025-09-07T08:58:49.6936132Z Entering 'third_party/tensorpipe' 2025-09-07T08:58:49.6963603Z http.https://github.com/.extraheader 2025-09-07T08:58:49.6998481Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T08:58:49.7026955Z http.https://github.com/.extraheader 2025-09-07T08:58:49.7062396Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T08:58:49.7087656Z http.https://github.com/.extraheader 2025-09-07T08:58:49.7121518Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T08:58:49.7147420Z http.https://github.com/.extraheader 2025-09-07T08:58:49.7181610Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T08:58:49.7209275Z http.https://github.com/.extraheader 2025-09-07T08:58:49.7241861Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T08:58:49.7269234Z http.https://github.com/.extraheader 2025-09-07T08:58:49.7332004Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T08:58:49.7371320Z ##[endgroup] 2025-09-07T08:58:49.7371661Z ##[group]Fetching the repository 2025-09-07T08:58:49.7378507Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T08:58:50.2095875Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T08:58:50.2124917Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:58:50.2130243Z ##[endgroup] 2025-09-07T08:58:50.2130667Z ##[group]Determining the checkout info 2025-09-07T08:58:50.2131276Z ##[endgroup] 2025-09-07T08:58:50.2135282Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T08:58:50.2345405Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T08:58:50.2377551Z ##[group]Checking out the ref 2025-09-07T08:58:50.2381891Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:58:50.2709785Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T08:58:50.2719480Z ##[endgroup] 2025-09-07T08:58:50.2719844Z ##[group]Setting up auth for fetching submodules 2025-09-07T08:58:50.2724647Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T08:58:50.2766558Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T08:58:50.2798307Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T08:58:50.2828613Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T08:58:50.2856424Z ##[endgroup] 2025-09-07T08:58:50.2856934Z ##[group]Fetching submodules 2025-09-07T08:58:50.2860742Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T08:58:50.3144083Z Synchronizing submodule url for 'android/libs/fbjni' 2025-09-07T08:58:50.3169154Z Synchronizing submodule url for 'third_party/FP16' 2025-09-07T08:58:50.3193557Z Synchronizing submodule url for 'third_party/FXdiv' 2025-09-07T08:58:50.3217944Z Synchronizing submodule url for 'third_party/NNPACK' 2025-09-07T08:58:50.3242727Z Synchronizing submodule url for 'third_party/NVTX' 2025-09-07T08:58:50.3267580Z Synchronizing submodule url for 'third_party/VulkanMemoryAllocator' 2025-09-07T08:58:50.3292406Z Synchronizing submodule url for 'third_party/XNNPACK' 2025-09-07T08:58:50.3330380Z Synchronizing submodule url for 'third_party/aiter' 2025-09-07T08:58:50.3354066Z Synchronizing submodule url for 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T08:58:50.3387741Z Synchronizing submodule url for 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Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T08:58:50.4206105Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T08:58:50.4229412Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T08:58:50.4252346Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T08:58:50.4276717Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T08:58:50.4308710Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T08:58:50.4330530Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T08:58:50.4355206Z Synchronizing submodule url for 'third_party/kleidiai' 2025-09-07T08:58:50.4380565Z Synchronizing submodule url for 'third_party/mimalloc' 2025-09-07T08:58:50.4405051Z Synchronizing submodule url for 'third_party/nlohmann' 2025-09-07T08:58:50.4431207Z Synchronizing submodule url for 'third_party/onnx' 2025-09-07T08:58:50.4470000Z Synchronizing submodule url for 'third_party/onnx/third_party/pybind11' 2025-09-07T08:58:50.4500675Z Synchronizing submodule url for 'third_party/opentelemetry-cpp' 2025-09-07T08:58:50.4524820Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T08:58:50.4546797Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T08:58:50.4568737Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T08:58:50.4591497Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T08:58:50.4614260Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T08:58:50.4638295Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T08:58:50.4659873Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T08:58:50.4680462Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T08:58:50.4704492Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T08:58:50.4730852Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T08:58:50.4771816Z Synchronizing submodule url for 'third_party/pocketfft' 2025-09-07T08:58:50.4796130Z Synchronizing submodule url for 'third_party/protobuf' 2025-09-07T08:58:50.4822580Z Synchronizing submodule url for 'third_party/protobuf/third_party/benchmark' 2025-09-07T08:58:50.4844754Z Synchronizing submodule url for 'third_party/protobuf/third_party/googletest' 2025-09-07T08:58:50.4871784Z Synchronizing submodule url for 'third_party/psimd' 2025-09-07T08:58:50.4896441Z Synchronizing submodule url for 'third_party/pthreadpool' 2025-09-07T08:58:50.4921066Z Synchronizing submodule url for 'third_party/pybind11' 2025-09-07T08:58:50.4945989Z Synchronizing submodule url for 'third_party/python-peachpy' 2025-09-07T08:58:50.4970524Z Synchronizing submodule url for 'third_party/sleef' 2025-09-07T08:58:50.4995085Z Synchronizing submodule url for 'third_party/tensorpipe' 2025-09-07T08:58:50.5018145Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/googletest' 2025-09-07T08:58:50.5041122Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libnop' 2025-09-07T08:58:50.5063567Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libuv' 2025-09-07T08:58:50.5085994Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T08:58:50.5109046Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T08:58:50.5146755Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T08:58:50.5548710Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T08:58:50.5675578Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T08:58:50.5774531Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T08:58:50.5995680Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T08:58:50.6784425Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T08:58:50.7121984Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T08:58:51.4861944Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T08:58:51.6843060Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T08:58:51.9590259Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T08:58:51.9802738Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T08:58:52.2065438Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T08:58:52.2599953Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T08:58:52.3762645Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T08:58:52.4207854Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T08:58:52.4400762Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T08:58:52.5658262Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T08:58:52.6218586Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T08:58:52.8839969Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T08:58:53.0014894Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T08:58:53.5582791Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T08:58:53.5941915Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T08:58:53.6073227Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T08:58:53.7042096Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T08:58:53.7775259Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T08:58:54.0155546Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T08:58:54.0937145Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T08:58:54.3029409Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T08:58:54.3310157Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T08:58:54.3680099Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T08:58:54.3892672Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T08:58:54.4231485Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T08:58:54.4370909Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T08:58:54.7422615Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T08:58:54.7631339Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T08:58:54.8452652Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T08:58:54.9807490Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T08:58:55.1764989Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T08:58:55.1933976Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T08:58:55.2235232Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T08:58:55.2383191Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T08:58:55.2504510Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T08:58:55.3173414Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T08:58:55.3542371Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T08:58:55.4388532Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T08:58:55.4549280Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T08:58:55.4827015Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T08:58:55.5166204Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T08:58:55.5598705Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T08:58:55.6090203Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T08:58:55.7178874Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T08:58:55.7622078Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T08:58:55.7940046Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T08:58:55.8557974Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T08:58:55.8736859Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T08:58:55.9069396Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T08:58:55.9198412Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T08:58:56.0161344Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T08:58:56.0309354Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T08:58:56.0450749Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T08:58:56.0591127Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T08:58:56.1186785Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T08:58:56.1528376Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T08:58:56.4215201Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T08:58:56.4350223Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T08:58:56.6704089Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-09-07T08:58:56.6848893Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-09-07T08:58:56.7243846Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-09-07T08:58:56.7351653Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-09-07T08:58:56.7497901Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-09-07T08:58:56.7835746Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8' 2025-09-07T08:58:56.8250421Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-09-07T08:58:56.8707671Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-09-07T08:58:56.8926506Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075' 2025-09-07T08:58:56.9260459Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-09-07T08:58:56.9415583Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-09-07T08:58:56.9914329Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-09-07T08:58:57.0150863Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' 2025-09-07T08:58:57.0249470Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' 2025-09-07T08:58:57.0300686Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-09-07T08:58:57.0565135Z Entering 'android/libs/fbjni' 2025-09-07T08:58:57.0609804Z Entering 'third_party/FP16' 2025-09-07T08:58:57.0653466Z Entering 'third_party/FXdiv' 2025-09-07T08:58:57.0696921Z Entering 'third_party/NNPACK' 2025-09-07T08:58:57.0740930Z Entering 'third_party/NVTX' 2025-09-07T08:58:57.0792102Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T08:58:57.0836155Z Entering 'third_party/XNNPACK' 2025-09-07T08:58:57.0893969Z Entering 'third_party/aiter' 2025-09-07T08:58:57.0937670Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T08:58:57.0989433Z Entering 'third_party/benchmark' 2025-09-07T08:58:57.1033391Z Entering 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2025-09-07T08:58:57.2724635Z Entering 'third_party/mimalloc' 2025-09-07T08:58:57.2768207Z Entering 'third_party/nlohmann' 2025-09-07T08:58:57.2813552Z Entering 'third_party/onnx' 2025-09-07T08:58:57.2874119Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T08:58:57.2923352Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T08:58:57.2969618Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T08:58:57.3011859Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T08:58:57.3053451Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T08:58:57.3092753Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T08:58:57.3134607Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T08:58:57.3173973Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T08:58:57.3213185Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T08:58:57.3252527Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T08:58:57.3296410Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T08:58:57.3340908Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T08:58:57.3402561Z Entering 'third_party/pocketfft' 2025-09-07T08:58:57.3447601Z Entering 'third_party/protobuf' 2025-09-07T08:58:57.3493197Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T08:58:57.3534017Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T08:58:57.3577539Z Entering 'third_party/psimd' 2025-09-07T08:58:57.3621280Z Entering 'third_party/pthreadpool' 2025-09-07T08:58:57.3663871Z Entering 'third_party/pybind11' 2025-09-07T08:58:57.3707489Z Entering 'third_party/python-peachpy' 2025-09-07T08:58:57.3751200Z Entering 'third_party/sleef' 2025-09-07T08:58:57.3794504Z Entering 'third_party/tensorpipe' 2025-09-07T08:58:57.4119748Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T08:58:57.4162600Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T08:58:57.4202532Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T08:58:57.4243230Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T08:58:57.4282818Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T08:58:57.4353229Z ##[endgroup] 2025-09-07T08:58:57.4353592Z ##[group]Persisting credentials for submodules 2025-09-07T08:58:57.4354399Z [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' || :" 2025-09-07T08:58:57.4617101Z Entering 'android/libs/fbjni' 2025-09-07T08:58:57.4648399Z url.https://github.com/.insteadof 2025-09-07T08:58:57.4648709Z url.https://github.com/.insteadof 2025-09-07T08:58:57.4686572Z Entering 'third_party/FP16' 2025-09-07T08:58:57.4714801Z url.https://github.com/.insteadof 2025-09-07T08:58:57.4715091Z url.https://github.com/.insteadof 2025-09-07T08:58:57.4753706Z Entering 'third_party/FXdiv' 2025-09-07T08:58:57.4781532Z url.https://github.com/.insteadof 2025-09-07T08:58:57.4781841Z url.https://github.com/.insteadof 2025-09-07T08:58:57.4817715Z Entering 'third_party/NNPACK' 2025-09-07T08:58:57.4845012Z url.https://github.com/.insteadof 2025-09-07T08:58:57.4845338Z url.https://github.com/.insteadof 2025-09-07T08:58:57.4882276Z Entering 'third_party/NVTX' 2025-09-07T08:58:57.4909856Z url.https://github.com/.insteadof 2025-09-07T08:58:57.4910162Z url.https://github.com/.insteadof 2025-09-07T08:58:57.4947473Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T08:58:57.4975367Z url.https://github.com/.insteadof 2025-09-07T08:58:57.4975649Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5011173Z Entering 'third_party/XNNPACK' 2025-09-07T08:58:57.5039812Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5040119Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5089325Z Entering 'third_party/aiter' 2025-09-07T08:58:57.5118132Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5118419Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5155772Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T08:58:57.5184447Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5184753Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5229645Z Entering 'third_party/benchmark' 2025-09-07T08:58:57.5257936Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5258212Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5294358Z Entering 'third_party/composable_kernel' 2025-09-07T08:58:57.5322263Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5322523Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5366292Z Entering 'third_party/cpp-httplib' 2025-09-07T08:58:57.5394412Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5394700Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5430750Z Entering 'third_party/cpuinfo' 2025-09-07T08:58:57.5458502Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5458843Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5494683Z Entering 'third_party/cudnn_frontend' 2025-09-07T08:58:57.5523761Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5524046Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5559964Z Entering 'third_party/cutlass' 2025-09-07T08:58:57.5588917Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5589279Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5632588Z Entering 'third_party/fbgemm' 2025-09-07T08:58:57.5660927Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5661200Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5698578Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T08:58:57.5724072Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5724381Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5759959Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T08:58:57.5788994Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5789312Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5831996Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T08:58:57.5860559Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5860872Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5895996Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T08:58:57.5923463Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5923727Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5967577Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T08:58:57.5996476Z url.https://github.com/.insteadof 2025-09-07T08:58:57.5996775Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6031983Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T08:58:57.6060632Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6060959Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6095433Z Entering 'third_party/fbgemm/external/json' 2025-09-07T08:58:57.6122755Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6123039Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6162387Z Entering 'third_party/flash-attention' 2025-09-07T08:58:57.6190426Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6190692Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6225971Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T08:58:57.6252123Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6252402Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6295818Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T08:58:57.6322861Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6323136Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6370580Z Entering 'third_party/flatbuffers' 2025-09-07T08:58:57.6398012Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6398278Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6436280Z Entering 'third_party/fmt' 2025-09-07T08:58:57.6463469Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6463749Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6498819Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T08:58:57.6525993Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6526244Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6561926Z Entering 'third_party/gloo' 2025-09-07T08:58:57.6590796Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6591050Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6626993Z Entering 'third_party/googletest' 2025-09-07T08:58:57.6654263Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6654656Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6688422Z Entering 'third_party/ideep' 2025-09-07T08:58:57.6714371Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6714663Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6746804Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T08:58:57.6771791Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6772059Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6812614Z Entering 'third_party/ittapi' 2025-09-07T08:58:57.6838475Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6838757Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6884149Z Entering 'third_party/kineto' 2025-09-07T08:58:57.6910202Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6910508Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6943445Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T08:58:57.6968628Z url.https://github.com/.insteadof 2025-09-07T08:58:57.6968909Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7001924Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T08:58:57.7028285Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7028582Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7063412Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T08:58:57.7088205Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7088470Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7125084Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T08:58:57.7152602Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7152888Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7188922Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T08:58:57.7215929Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7216203Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7249843Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T08:58:57.7278080Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7278355Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7317603Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T08:58:57.7346172Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7346481Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7382260Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T08:58:57.7409780Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7410038Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7446907Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T08:58:57.7473712Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7473971Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7509886Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T08:58:57.7538723Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7539060Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7577065Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T08:58:57.7604965Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7605226Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7639690Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T08:58:57.7667427Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7667699Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7707373Z Entering 'third_party/kleidiai' 2025-09-07T08:58:57.7736431Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7736689Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7772465Z Entering 'third_party/mimalloc' 2025-09-07T08:58:57.7801089Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7801354Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7837000Z Entering 'third_party/nlohmann' 2025-09-07T08:58:57.7864411Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7864706Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7900891Z Entering 'third_party/onnx' 2025-09-07T08:58:57.7928215Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7928472Z url.https://github.com/.insteadof 2025-09-07T08:58:57.7977858Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T08:58:57.8009964Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8010484Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8051510Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T08:58:57.8080287Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8080557Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8119185Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T08:58:57.8147150Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8147567Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8185100Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T08:58:57.8213204Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8213488Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8250753Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T08:58:57.8277015Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8277445Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8313840Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T08:58:57.8342878Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8343167Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8380102Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T08:58:57.8406333Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8406601Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8440288Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T08:58:57.8466535Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8466813Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8500716Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T08:58:57.8526795Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8527069Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8560135Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T08:58:57.8587687Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8587966Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8624859Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T08:58:57.8651081Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8651321Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8688996Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T08:58:57.8716898Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8717207Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8771280Z Entering 'third_party/pocketfft' 2025-09-07T08:58:57.8799786Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8800078Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8836260Z Entering 'third_party/protobuf' 2025-09-07T08:58:57.8864702Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8864979Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8906245Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T08:58:57.8933364Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8933673Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8967850Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T08:58:57.8994314Z url.https://github.com/.insteadof 2025-09-07T08:58:57.8994599Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9031549Z Entering 'third_party/psimd' 2025-09-07T08:58:57.9059369Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9059640Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9094966Z Entering 'third_party/pthreadpool' 2025-09-07T08:58:57.9121742Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9122015Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9156281Z Entering 'third_party/pybind11' 2025-09-07T08:58:57.9182946Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9183221Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9218013Z Entering 'third_party/python-peachpy' 2025-09-07T08:58:57.9244303Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9244591Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9279880Z Entering 'third_party/sleef' 2025-09-07T08:58:57.9306366Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9306637Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9342720Z Entering 'third_party/tensorpipe' 2025-09-07T08:58:57.9369620Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9369908Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9403649Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T08:58:57.9430928Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9431214Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9465012Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T08:58:57.9491923Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9492198Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9525519Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T08:58:57.9556826Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9557205Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9593154Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T08:58:57.9620320Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9620640Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9655733Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T08:58:57.9682652Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9682947Z url.https://github.com/.insteadof 2025-09-07T08:58:57.9748649Z [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" 2025-09-07T08:58:58.0019495Z Entering 'android/libs/fbjni' 2025-09-07T08:58:58.0062471Z file:/home/frank/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T08:58:58.0084355Z Entering 'third_party/FP16' 2025-09-07T08:58:58.0125583Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T08:58:58.0147115Z Entering 'third_party/FXdiv' 2025-09-07T08:58:58.0189125Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T08:58:58.0211303Z Entering 'third_party/NNPACK' 2025-09-07T08:58:58.0252292Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-09-07T08:58:58.0291229Z Entering 'third_party/NVTX' 2025-09-07T08:58:58.0338729Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-09-07T08:58:58.0360919Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T08:58:58.0433166Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-09-07T08:58:58.0454633Z Entering 'third_party/XNNPACK' 2025-09-07T08:58:58.0497480Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-09-07T08:58:58.0537750Z Entering 'third_party/aiter' 2025-09-07T08:58:58.0580216Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-09-07T08:58:58.0602125Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T08:58:58.0641706Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-09-07T08:58:58.0673613Z Entering 'third_party/benchmark' 2025-09-07T08:58:58.0714585Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-09-07T08:58:58.0736111Z Entering 'third_party/composable_kernel' 2025-09-07T08:58:58.0776645Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-09-07T08:58:58.0805918Z Entering 'third_party/cpp-httplib' 2025-09-07T08:58:58.0846901Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2025-09-07T08:58:58.0868588Z Entering 'third_party/cpuinfo' 2025-09-07T08:58:58.0910052Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-09-07T08:58:58.0932155Z Entering 'third_party/cudnn_frontend' 2025-09-07T08:58:58.0973230Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-09-07T08:58:58.0995026Z Entering 'third_party/cutlass' 2025-09-07T08:58:58.1036230Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-09-07T08:58:58.1065582Z Entering 'third_party/fbgemm' 2025-09-07T08:58:58.1107185Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-09-07T08:58:58.1130025Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T08:58:58.1171468Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-09-07T08:58:58.1192998Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T08:58:58.1234340Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-09-07T08:58:58.1262907Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T08:58:58.1303571Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-09-07T08:58:58.1327245Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T08:58:58.1368270Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-09-07T08:58:58.1399647Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T08:58:58.1440054Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-09-07T08:58:58.1460797Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T08:58:58.1500974Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-09-07T08:58:58.1521009Z Entering 'third_party/fbgemm/external/json' 2025-09-07T08:58:58.1561276Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-09-07T08:58:58.1585882Z Entering 'third_party/flash-attention' 2025-09-07T08:58:58.1627857Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-09-07T08:58:58.1648827Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T08:58:58.1689250Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-09-07T08:58:58.1715811Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T08:58:58.1755211Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-09-07T08:58:58.1785422Z Entering 'third_party/flatbuffers' 2025-09-07T08:58:58.1827011Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-09-07T08:58:58.1851408Z Entering 'third_party/fmt' 2025-09-07T08:58:58.1892260Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-09-07T08:58:58.1913728Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T08:58:58.1956004Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-09-07T08:58:58.1977836Z Entering 'third_party/gloo' 2025-09-07T08:58:58.2018175Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-09-07T08:58:58.2040485Z Entering 'third_party/googletest' 2025-09-07T08:58:58.2080493Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-09-07T08:58:58.2102479Z Entering 'third_party/ideep' 2025-09-07T08:58:58.2143001Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-09-07T08:58:58.2162890Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T08:58:58.2205223Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-09-07T08:58:58.2234554Z Entering 'third_party/ittapi' 2025-09-07T08:58:58.2276786Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T08:58:58.2298425Z Entering 'third_party/kineto' 2025-09-07T08:58:58.2341473Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-09-07T08:58:58.2361830Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T08:58:58.2403037Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-09-07T08:58:58.2422986Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T08:58:58.2462565Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-09-07T08:58:58.2484575Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T08:58:58.2526969Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T08:58:58.2548599Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T08:58:58.2589408Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-09-07T08:58:58.2610464Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T08:58:58.2652967Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-09-07T08:58:58.2673034Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T08:58:58.2714915Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2025-09-07T08:58:58.2738296Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T08:58:58.2781475Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T08:58:58.2801798Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T08:58:58.2844199Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T08:58:58.2865691Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T08:58:58.2906240Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2025-09-07T08:58:58.2928325Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T08:58:58.2968876Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2025-09-07T08:58:58.2992784Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T08:58:58.3032386Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2025-09-07T08:58:58.3052544Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T08:58:58.3091883Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T08:58:58.3116244Z Entering 'third_party/kleidiai' 2025-09-07T08:58:58.3158705Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-09-07T08:58:58.3181047Z Entering 'third_party/mimalloc' 2025-09-07T08:58:58.3223210Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T08:58:58.3245488Z Entering 'third_party/nlohmann' 2025-09-07T08:58:58.3286467Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T08:58:58.3309827Z Entering 'third_party/onnx' 2025-09-07T08:58:58.3350489Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T08:58:58.3386696Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T08:58:58.3429682Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T08:58:58.3454373Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T08:58:58.3496051Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T08:58:58.3518847Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T08:58:58.3559471Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T08:58:58.3580710Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T08:58:58.3620114Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T08:58:58.3640684Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T08:58:58.3682020Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T08:58:58.3702738Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T08:58:58.3744301Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T08:58:58.3766671Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T08:58:58.3808637Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T08:58:58.3830013Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T08:58:58.3871895Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2025-09-07T08:58:58.3892866Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T08:58:58.3932399Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2025-09-07T08:58:58.3952548Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T08:58:58.3993407Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2025-09-07T08:58:58.4015356Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T08:58:58.4054637Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-09-07T08:58:58.4077557Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T08:58:58.4118132Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T08:58:58.4159094Z Entering 'third_party/pocketfft' 2025-09-07T08:58:58.4202105Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T08:58:58.4223200Z Entering 'third_party/protobuf' 2025-09-07T08:58:58.4264946Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T08:58:58.4288221Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T08:58:58.4328976Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-09-07T08:58:58.4350103Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T08:58:58.4391048Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-09-07T08:58:58.4414178Z Entering 'third_party/psimd' 2025-09-07T08:58:58.4455955Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2025-09-07T08:58:58.4477808Z Entering 'third_party/pthreadpool' 2025-09-07T08:58:58.4520955Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2025-09-07T08:58:58.4543763Z Entering 'third_party/pybind11' 2025-09-07T08:58:58.4585306Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2025-09-07T08:58:58.4606868Z Entering 'third_party/python-peachpy' 2025-09-07T08:58:58.4649344Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2025-09-07T08:58:58.4670521Z Entering 'third_party/sleef' 2025-09-07T08:58:58.4712211Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2025-09-07T08:58:58.4733871Z Entering 'third_party/tensorpipe' 2025-09-07T08:58:58.4776427Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2025-09-07T08:58:58.4797939Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T08:58:58.4838232Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2025-09-07T08:58:58.4858357Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T08:58:58.4897142Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-09-07T08:58:58.4916912Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T08:58:58.4955816Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-09-07T08:58:58.4975886Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T08:58:58.5014838Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-09-07T08:58:58.5033688Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T08:58:58.5074799Z file:/home/frank/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-09-07T08:58:58.5354361Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T08:58:58.5615155Z Entering 'android/libs/fbjni' 2025-09-07T08:58:58.5659933Z Entering 'third_party/FP16' 2025-09-07T08:58:58.5703409Z Entering 'third_party/FXdiv' 2025-09-07T08:58:58.5747134Z Entering 'third_party/NNPACK' 2025-09-07T08:58:58.5790490Z Entering 'third_party/NVTX' 2025-09-07T08:58:58.5834439Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T08:58:58.5878060Z Entering 'third_party/XNNPACK' 2025-09-07T08:58:58.5935109Z Entering 'third_party/aiter' 2025-09-07T08:58:58.5980323Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T08:58:58.6031146Z Entering 'third_party/benchmark' 2025-09-07T08:58:58.6075488Z Entering 'third_party/composable_kernel' 2025-09-07T08:58:58.6127805Z Entering 'third_party/cpp-httplib' 2025-09-07T08:58:58.6171275Z Entering 'third_party/cpuinfo' 2025-09-07T08:58:58.6216005Z Entering 'third_party/cudnn_frontend' 2025-09-07T08:58:58.6259592Z Entering 'third_party/cutlass' 2025-09-07T08:58:58.6312334Z Entering 'third_party/fbgemm' 2025-09-07T08:58:58.6363201Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T08:58:58.6405325Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T08:58:58.6453486Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T08:58:58.6494961Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T08:58:58.6543623Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T08:58:58.6585511Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T08:58:58.6625944Z Entering 'third_party/fbgemm/external/json' 2025-09-07T08:58:58.6671130Z Entering 'third_party/flash-attention' 2025-09-07T08:58:58.6717043Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T08:58:58.6766520Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T08:58:58.6818598Z Entering 'third_party/flatbuffers' 2025-09-07T08:58:58.6865337Z Entering 'third_party/fmt' 2025-09-07T08:58:58.6908679Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T08:58:58.6952077Z Entering 'third_party/gloo' 2025-09-07T08:58:58.6995798Z Entering 'third_party/googletest' 2025-09-07T08:58:58.7039496Z Entering 'third_party/ideep' 2025-09-07T08:58:58.7082884Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T08:58:58.7131892Z Entering 'third_party/ittapi' 2025-09-07T08:58:58.7175259Z Entering 'third_party/kineto' 2025-09-07T08:58:58.7218361Z Entering 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'third_party/psimd' 2025-09-07T08:58:58.8659807Z Entering 'third_party/pthreadpool' 2025-09-07T08:58:58.8703180Z Entering 'third_party/pybind11' 2025-09-07T08:58:58.8746903Z Entering 'third_party/python-peachpy' 2025-09-07T08:58:58.8791125Z Entering 'third_party/sleef' 2025-09-07T08:58:58.8835145Z Entering 'third_party/tensorpipe' 2025-09-07T08:58:58.8878761Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T08:58:58.8920307Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T08:58:58.8961318Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T08:58:58.9002437Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T08:58:58.9041948Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T08:58:58.9105818Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-07T08:58:58.9365608Z Entering 'android/libs/fbjni' 2025-09-07T08:58:58.9409212Z Entering 'third_party/FP16' 2025-09-07T08:58:58.9452387Z Entering 'third_party/FXdiv' 2025-09-07T08:58:58.9494972Z Entering 'third_party/NNPACK' 2025-09-07T08:58:58.9538863Z Entering 'third_party/NVTX' 2025-09-07T08:58:58.9582810Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T08:58:58.9626149Z Entering 'third_party/XNNPACK' 2025-09-07T08:58:58.9683645Z Entering 'third_party/aiter' 2025-09-07T08:58:58.9726372Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T08:58:58.9778978Z Entering 'third_party/benchmark' 2025-09-07T08:58:58.9822516Z Entering 'third_party/composable_kernel' 2025-09-07T08:58:58.9873767Z Entering 'third_party/cpp-httplib' 2025-09-07T08:58:58.9916790Z Entering 'third_party/cpuinfo' 2025-09-07T08:58:58.9960192Z Entering 'third_party/cudnn_frontend' 2025-09-07T08:58:59.0003893Z Entering 'third_party/cutlass' 2025-09-07T08:58:59.0055207Z Entering 'third_party/fbgemm' 2025-09-07T08:58:59.0100428Z Entering 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2025-09-07T08:58:59.0737191Z Entering 'third_party/googletest' 2025-09-07T08:58:59.0780672Z Entering 'third_party/ideep' 2025-09-07T08:58:59.0822796Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T08:58:59.0871560Z Entering 'third_party/ittapi' 2025-09-07T08:58:59.0915044Z Entering 'third_party/kineto' 2025-09-07T08:58:59.0957193Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T08:58:59.1000037Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T08:58:59.1041303Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T08:58:59.1082570Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T08:58:59.1123991Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T08:58:59.1163854Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T08:58:59.1208787Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T08:58:59.1250266Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T08:58:59.1291526Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T08:58:59.1334828Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T08:58:59.1378596Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T08:58:59.1419292Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T08:58:59.1461559Z Entering 'third_party/kleidiai' 2025-09-07T08:58:59.1505985Z Entering 'third_party/mimalloc' 2025-09-07T08:58:59.1556470Z Entering 'third_party/nlohmann' 2025-09-07T08:58:59.1606167Z Entering 'third_party/onnx' 2025-09-07T08:58:59.1666432Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T08:58:59.1715426Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T08:58:59.1761700Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T08:58:59.1805181Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T08:58:59.1845401Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T08:58:59.1885558Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T08:58:59.1927439Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T08:58:59.1968486Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T08:58:59.2008124Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T08:58:59.2050289Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T08:58:59.2090830Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T08:58:59.2134850Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T08:58:59.2196661Z Entering 'third_party/pocketfft' 2025-09-07T08:58:59.2243349Z Entering 'third_party/protobuf' 2025-09-07T08:58:59.2290963Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T08:58:59.2331977Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T08:58:59.2376589Z Entering 'third_party/psimd' 2025-09-07T08:58:59.2423262Z Entering 'third_party/pthreadpool' 2025-09-07T08:58:59.2469226Z Entering 'third_party/pybind11' 2025-09-07T08:58:59.2515754Z Entering 'third_party/python-peachpy' 2025-09-07T08:58:59.2561078Z Entering 'third_party/sleef' 2025-09-07T08:58:59.2606992Z Entering 'third_party/tensorpipe' 2025-09-07T08:58:59.2653399Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T08:58:59.2693326Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T08:58:59.2733458Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T08:58:59.2774034Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T08:58:59.2813139Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T08:58:59.2875734Z ##[endgroup] 2025-09-07T08:58:59.2920027Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T08:58:59.2948435Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:58:59.3112089Z Prepare all required actions 2025-09-07T08:58:59.3112545Z Getting action download info 2025-09-07T08:58:59.4391680Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T08:58:59.4391933Z env: 2025-09-07T08:58:59.4392100Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:58:59.4392288Z ##[endgroup] 2025-09-07T08:58:59.4427000Z ##[group]Run set -euo pipefail 2025-09-07T08:58:59.4427477Z set -euo pipefail 2025-09-07T08:58:59.4427716Z function get_ec2_metadata() { 2025-09-07T08:58:59.4428006Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T08:58:59.4428466Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T08:58:59.4428882Z  category=$1 2025-09-07T08:58:59.4429155Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T08:58:59.4429715Z  runner_name_str=i-0d3ed1ff3ccbeec77-1006 2025-09-07T08:58:59.4430017Z  if [[ -f /.inarc ]]; then 2025-09-07T08:58:59.4430281Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T08:58:59.4430557Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T08:58:59.4430899Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T08:58:59.4431209Z  else 2025-09-07T08:58:59.4431820Z  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}" 2025-09-07T08:58:59.4432455Z  fi 2025-09-07T08:58:59.4432610Z } 2025-09-07T08:58:59.4432806Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T08:58:59.4433112Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T08:58:59.4433460Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T08:58:59.4433759Z echo "system info $(uname -a)" 2025-09-07T08:58:59.4449422Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:58:59.4449713Z env: 2025-09-07T08:58:59.4449877Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:58:59.4450069Z ##[endgroup] 2025-09-07T08:58:59.4493063Z ami-id: ARC Runner, no info on ec2 metadata 2025-09-07T08:58:59.4499008Z instance-id: ARC Runner, no info on ec2 metadata 2025-09-07T08:58:59.4504577Z instance-type: ARC Runner, no info on ec2 metadata 2025-09-07T08:58:59.4516560Z system info Linux 0933e9e7e45b 6.8.0-1018-aws #19~22.04.1-Ubuntu SMP Wed Oct 9 16:48:22 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T08:58:59.4535456Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:58:59.4536160Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:58:59.4550747Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:58:59.4551037Z env: 2025-09-07T08:58:59.4551204Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:58:59.4551395Z ##[endgroup] 2025-09-07T08:58:59.4651575Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T08:58:59.4651995Z with: 2025-09-07T08:58:59.4652274Z shell: bash 2025-09-07T08:58:59.4652579Z timeout_minutes: 5 2025-09-07T08:58:59.4652891Z max_attempts: 3 2025-09-07T08:58:59.4653197Z retry_wait_seconds: 30 2025-09-07T08:58:59.4656661Z command: AWS_ACCOUNT_ID=$(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 2025-09-07T08:58:59.4659918Z polling_interval_seconds: 1 2025-09-07T08:58:59.4660310Z warning_on_retry: true 2025-09-07T08:58:59.4660671Z continue_on_error: false 2025-09-07T08:58:59.4661007Z env: 2025-09-07T08:58:59.4661280Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:58:59.4661630Z AWS_RETRY_MODE: standard 2025-09-07T08:58:59.4661991Z AWS_MAX_ATTEMPTS: 5 2025-09-07T08:58:59.4662338Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T08:58:59.4662729Z ##[endgroup] 2025-09-07T08:59:00.8050219Z 2025-09-07T08:59:00.8050796Z WARNING! Your credentials are stored unencrypted in '/home/frank/.docker/config.json'. 2025-09-07T08:59:00.8051314Z Configure a credential helper to remove this warning. See 2025-09-07T08:59:00.8051682Z https://docs.docker.com/go/credential-store/ 2025-09-07T08:59:00.8052191Z 2025-09-07T08:59:00.8052271Z Login Succeeded 2025-09-07T08:59:01.5392081Z Command completed after 1 attempt(s). 2025-09-07T08:59:01.5473424Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:59:01.5473840Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:59:01.5474170Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:59:01.5490463Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:59:01.5490751Z env: 2025-09-07T08:59:01.5490923Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:59:01.5491120Z ##[endgroup] 2025-09-07T08:59:01.5577123Z ##[group]Run set +e 2025-09-07T08:59:01.5577520Z set +e 2025-09-07T08:59:01.5577702Z set -x 2025-09-07T08:59:01.5577875Z  2025-09-07T08:59:01.5578059Z PT_DOMAIN=download.pytorch.org 2025-09-07T08:59:01.5578502Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T08:59:01.5579071Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T08:59:01.5579468Z # one is returned at random 2025-09-07T08:59:01.5579765Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T08:59:01.5580039Z  2025-09-07T08:59:01.5580221Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T08:59:01.5580535Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T08:59:01.5580914Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T08:59:01.5581196Z  2025-09-07T08:59:01.5581363Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T08:59:01.5581643Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T08:59:01.5581909Z  exit 1 2025-09-07T08:59:01.5582083Z  fi 2025-09-07T08:59:01.5582241Z fi 2025-09-07T08:59:01.5582402Z  2025-09-07T08:59:01.5582595Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T08:59:01.5583011Z  # Clean up any old records first 2025-09-07T08:59:01.5583279Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T08:59:01.5583518Z fi 2025-09-07T08:59:01.5583678Z  2025-09-07T08:59:01.5583909Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T08:59:01.5584194Z cat /etc/hosts 2025-09-07T08:59:01.5600081Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:59:01.5600367Z env: 2025-09-07T08:59:01.5600534Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:59:01.5600730Z ##[endgroup] 2025-09-07T08:59:01.5632150Z + PT_DOMAIN=download.pytorch.org 2025-09-07T08:59:01.5638472Z ++ dig -4 +short download.pytorch.org 2025-09-07T08:59:01.5639866Z ++ tail -n1 2025-09-07T08:59:01.5854835Z + RESOLVED_IP=18.160.10.76 2025-09-07T08:59:01.5855356Z + '[' -z 18.160.10.76 ']' 2025-09-07T08:59:01.5855663Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T08:59:01.5871679Z + echo '18.160.10.76 download.pytorch.org' 2025-09-07T08:59:01.5872385Z + sudo tee -a /etc/hosts 2025-09-07T08:59:01.5936007Z 18.160.10.76 download.pytorch.org 2025-09-07T08:59:01.5944161Z + cat /etc/hosts 2025-09-07T08:59:01.5953137Z 127.0.0.1 localhost 2025-09-07T08:59:01.5958015Z ::1 localhost ip6-localhost ip6-loopback 2025-09-07T08:59:01.5958343Z fe00:: ip6-localnet 2025-09-07T08:59:01.5958561Z ff00:: ip6-mcastprefix 2025-09-07T08:59:01.5958769Z ff02::1 ip6-allnodes 2025-09-07T08:59:01.5958980Z ff02::2 ip6-allrouters 2025-09-07T08:59:01.5959189Z 172.17.0.2 0933e9e7e45b 2025-09-07T08:59:01.5959414Z 18.160.10.76 download.pytorch.org 2025-09-07T08:59:01.5977590Z ##[group]Run set +x 2025-09-07T08:59:01.5977827Z set +x 2025-09-07T08:59:01.5977997Z  2025-09-07T08:59:01.5978157Z max_attempts=30 2025-09-07T08:59:01.5978359Z delay=10 2025-09-07T08:59:01.5978529Z attempt=1 2025-09-07T08:59:01.5978941Z  2025-09-07T08:59:01.5979134Z for attempt in $(seq 1 $max_attempts); do 2025-09-07T08:59:01.5979526Z  echo "Attempt $attempt of $max_attempts: Checking if Docker daemon is running..." 2025-09-07T08:59:01.5979898Z  if docker info > /dev/null 2>&1; then 2025-09-07T08:59:01.5980222Z  echo "Docker is running. Proceeding with the next steps" 2025-09-07T08:59:01.5980514Z  exit 0 2025-09-07T08:59:01.5980680Z  else 2025-09-07T08:59:01.5980869Z  echo "Docker is not running yet." 2025-09-07T08:59:01.5981127Z  echo "Retrying in $delay seconds..." 2025-09-07T08:59:01.5981366Z  sleep $delay 2025-09-07T08:59:01.5981547Z  fi 2025-09-07T08:59:01.5981705Z done 2025-09-07T08:59:01.5981952Z echo "Reached maximum attempts to connect to Docker. Exiting." 2025-09-07T08:59:01.5982246Z exit 1 2025-09-07T08:59:01.5996902Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:59:01.5997196Z env: 2025-09-07T08:59:01.5997501Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:59:01.5997696Z ##[endgroup] 2025-09-07T08:59:01.6040684Z Attempt 1 of 30: Checking if Docker daemon is running... 2025-09-07T08:59:01.6455271Z Docker is running. Proceeding with the next steps 2025-09-07T08:59:01.6596077Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T08:59:01.6596601Z with: 2025-09-07T08:59:01.6597391Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:59:01.6598125Z use-custom-docker-registry: true 2025-09-07T08:59:01.6598356Z docker-build-dir: .ci/docker 2025-09-07T08:59:01.6598568Z docker-build-script: ./build.sh 2025-09-07T08:59:01.6598784Z working-directory: . 2025-09-07T08:59:01.6599037Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T08:59:01.6599349Z force-push: false 2025-09-07T08:59:01.6599513Z env: 2025-09-07T08:59:01.6599667Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:59:01.6599863Z ##[endgroup] 2025-09-07T08:59:01.6615998Z ##[group]Run set -ex 2025-09-07T08:59:01.6616231Z set -ex 2025-09-07T08:59:01.6616396Z  2025-09-07T08:59:01.6616717Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T08:59:01.6617194Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T08:59:01.6617759Z # job could then download the pre-built image as usual 2025-09-07T08:59:01.6618251Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T08:59:01.6618703Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T08:59:01.6618941Z else 2025-09-07T08:59:01.6619129Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T08:59:01.6619459Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T08:59:01.6619749Z  2025-09-07T08:59:01.6620169Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T08:59:01.6620621Z  exit 0 2025-09-07T08:59:01.6620777Z fi 2025-09-07T08:59:01.6620925Z  2025-09-07T08:59:01.6621172Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T08:59:01.6621711Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T08:59:01.6622096Z  # use it as it is, but first let's extract the tag 2025-09-07T08:59:01.6622451Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T08:59:01.6622819Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T08:59:01.6623424Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T08:59:01.6623718Z else 2025-09-07T08:59:01.6623919Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T08:59:01.6624193Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T08:59:01.6624479Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T08:59:01.6624721Z  fi 2025-09-07T08:59:01.6625046Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T08:59:01.6625476Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T08:59:01.6625933Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T08:59:01.6626434Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T08:59:01.6626738Z fi 2025-09-07T08:59:01.6642218Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:59:01.6642513Z env: 2025-09-07T08:59:01.6642676Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:59:01.6642874Z REPO_NAME: pytorch 2025-09-07T08:59:01.6643788Z 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 2025-09-07T08:59:01.6644518Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T08:59:01.6644737Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T08:59:01.6645014Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T08:59:01.6645311Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T08:59:01.6645525Z CUSTOM_TAG_PREFIX: 2025-09-07T08:59:01.6645704Z ##[endgroup] 2025-09-07T08:59:01.6678159Z + [[ -d .ci/docker ]] 2025-09-07T08:59:01.6678381Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T08:59:01.6678597Z + [[ true == \t\r\u\e ]] 2025-09-07T08:59:01.6678782Z + echo skip=false 2025-09-07T08:59:01.6679647Z + [[ 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* ]] 2025-09-07T08:59:01.6685464Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:59:01.6686903Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T08:59:01.6700835Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:59:01.6701649Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:59:01.6702651Z + 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 2025-09-07T08:59:01.6722834Z ##[group]Run set +e 2025-09-07T08:59:01.6723074Z set +e 2025-09-07T08:59:01.6723238Z set -x 2025-09-07T08:59:01.6723392Z  2025-09-07T08:59:01.6723538Z login() { 2025-09-07T08:59:01.6723899Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T08:59:01.6724276Z } 2025-09-07T08:59:01.6724430Z  2025-09-07T08:59:01.6724575Z retry () { 2025-09-07T08:59:01.6724772Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T08:59:01.6724998Z } 2025-09-07T08:59:01.6725145Z  2025-09-07T08:59:01.6725302Z retry login "${DOCKER_REGISTRY}" 2025-09-07T08:59:01.6725521Z  2025-09-07T08:59:01.6725682Z START_TIME=$(date +%s) 2025-09-07T08:59:01.6725902Z # Wait up to 120 minutes 2025-09-07T08:59:01.6726171Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T08:59:01.6726738Z  # Check if image already exists, if it does then skip building it 2025-09-07T08:59:01.6727100Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T08:59:01.6727548Z  exit 0 2025-09-07T08:59:01.6727827Z  fi 2025-09-07T08:59:01.6727989Z  2025-09-07T08:59:01.6728267Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T08:59:01.6728737Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T08:59:01.6729198Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T08:59:01.6729562Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T08:59:01.6729855Z  # It's a Docker build job, let's build the image 2025-09-07T08:59:01.6730113Z  break 2025-09-07T08:59:01.6730284Z  else 2025-09-07T08:59:01.6730541Z  # It's a regular build job, wait for the image to become available 2025-09-07T08:59:01.6730835Z  sleep 300 2025-09-07T08:59:01.6731017Z  fi 2025-09-07T08:59:01.6731179Z done 2025-09-07T08:59:01.6731333Z  2025-09-07T08:59:01.6731791Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T08:59:01.6732215Z # be empty. The default action would be to continue rebuild the image 2025-09-07T08:59:01.6732590Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T08:59:01.6732913Z  # if we're on the base branch then use the parent commit 2025-09-07T08:59:01.6733197Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T08:59:01.6733422Z else 2025-09-07T08:59:01.6733673Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T08:59:01.6734017Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T08:59:01.6734282Z fi 2025-09-07T08:59:01.6734430Z  2025-09-07T08:59:01.6734678Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T08:59:01.6734937Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T08:59:01.6735174Z  2025-09-07T08:59:01.6735503Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T08:59:01.6735892Z  exit 0 2025-09-07T08:59:01.6736051Z fi 2025-09-07T08:59:01.6736193Z  2025-09-07T08:59:01.6736408Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T08:59:01.6736891Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T08:59:01.6737424Z  exit 1 2025-09-07T08:59:01.6737588Z fi 2025-09-07T08:59:01.6737737Z  2025-09-07T08:59:01.6737998Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T08:59:01.6738474Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T08:59:01.6738892Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T08:59:01.6739382Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T08:59:01.6739921Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T08:59:01.6740247Z fi 2025-09-07T08:59:01.6740393Z  2025-09-07T08:59:01.6740581Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T08:59:01.6755074Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:59:01.6755349Z env: 2025-09-07T08:59:01.6755503Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:59:01.6755703Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T08:59:01.6755950Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:59:01.6756867Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:59:01.6758006Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:59:01.6758573Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T08:59:01.6758858Z DOCKER_PUSH: 2025-09-07T08:59:01.6759026Z ##[endgroup] 2025-09-07T08:59:01.6789169Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T08:59:01.6789574Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T08:59:01.6792340Z + aws ecr get-login-password --region us-east-1 2025-09-07T08:59:01.6793621Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T08:59:02.3439426Z 2025-09-07T08:59:02.3440106Z WARNING! Your credentials are stored unencrypted in '/home/frank/.docker/config.json'. 2025-09-07T08:59:02.3440693Z Configure a credential helper to remove this warning. See 2025-09-07T08:59:02.3441083Z https://docs.docker.com/go/credential-store/ 2025-09-07T08:59:02.3441377Z Login Succeeded 2025-09-07T08:59:02.3441506Z 2025-09-07T08:59:02.3462515Z ++ date +%s 2025-09-07T08:59:02.3473121Z + START_TIME=1757235542 2025-09-07T08:59:02.3477567Z ++ date +%s 2025-09-07T08:59:02.3486397Z + [[ 1757228342 -lt 1757235542 ]] 2025-09-07T08:59:02.3487458Z + 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 2025-09-07T08:59:02.5504205Z { 2025-09-07T08:59:02.5504430Z "schemaVersion": 2, 2025-09-07T08:59:02.5504796Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T08:59:02.5505179Z "config": { 2025-09-07T08:59:02.5505468Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T08:59:02.5505838Z "size": 31375, 2025-09-07T08:59:02.5506195Z "digest": "sha256:29d1d8a31b215537637bab7c99e18c255840b899cf7023e4e3cb5efa3270aef8" 2025-09-07T08:59:02.5506613Z }, 2025-09-07T08:59:02.5506784Z "layers": [ 2025-09-07T08:59:02.5506956Z { 2025-09-07T08:59:02.5507409Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5507779Z "size": 30448359, 2025-09-07T08:59:02.5508148Z "digest": "sha256:e6fdc8487bfe6d764301ef3634bc6c043841dc3ab05ca14f81e69c0f92562d46" 2025-09-07T08:59:02.5508547Z }, 2025-09-07T08:59:02.5508714Z { 2025-09-07T08:59:02.5508991Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5509350Z "size": 1554, 2025-09-07T08:59:02.5509701Z "digest": "sha256:171dcef20c49de4bc9268f60e02f111b72c638b0f24c3c5636c5013029db6d30" 2025-09-07T08:59:02.5510105Z }, 2025-09-07T08:59:02.5510264Z { 2025-09-07T08:59:02.5510534Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5510881Z "size": 313297922, 2025-09-07T08:59:02.5511251Z "digest": "sha256:4c92b3f72f1df31fe9f487fc1c27fcf1ba475ffb43abd69056306d1247786e40" 2025-09-07T08:59:02.5511624Z }, 2025-09-07T08:59:02.5511779Z { 2025-09-07T08:59:02.5512026Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5512344Z "size": 792, 2025-09-07T08:59:02.5512681Z "digest": "sha256:744f9ba90a6582eb601b3c20409bb10d6dad635dd118c3975f79721f4c82747c" 2025-09-07T08:59:02.5513079Z }, 2025-09-07T08:59:02.5513242Z { 2025-09-07T08:59:02.5513483Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5513808Z "size": 106, 2025-09-07T08:59:02.5514245Z "digest": "sha256:d3c08322a3326e45849dd80264a047c4f42ba4a2419d35c919542e2890e23934" 2025-09-07T08:59:02.5514603Z }, 2025-09-07T08:59:02.5514746Z { 2025-09-07T08:59:02.5514989Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5515715Z "size": 704, 2025-09-07T08:59:02.5516032Z "digest": "sha256:ffd43b71f3ccf3ba563606231cb1d191eb9dd0052f422d54835e6af350525170" 2025-09-07T08:59:02.5516395Z }, 2025-09-07T08:59:02.5516541Z { 2025-09-07T08:59:02.5516794Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5517123Z "size": 1215, 2025-09-07T08:59:02.5517574Z "digest": "sha256:830692b57f6e2758398ec80c3b67a20441d12696b54ed14f2ecebf926198f7d6" 2025-09-07T08:59:02.5517951Z }, 2025-09-07T08:59:02.5518097Z { 2025-09-07T08:59:02.5518344Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5518665Z "size": 482, 2025-09-07T08:59:02.5518976Z "digest": "sha256:5bad36d184686719399be50830a98939d7dbda2313fb407df5915217483fc6a3" 2025-09-07T08:59:02.5519335Z }, 2025-09-07T08:59:02.5519491Z { 2025-09-07T08:59:02.5519738Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5520069Z "size": 110343614, 2025-09-07T08:59:02.5520413Z "digest": "sha256:0e34fdd9ac5c39eb0a9d2c2d258b26f42bb79d7dc0a22014bf201daa2e033eb4" 2025-09-07T08:59:02.5520752Z }, 2025-09-07T08:59:02.5520881Z { 2025-09-07T08:59:02.5521105Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5521390Z "size": 4786, 2025-09-07T08:59:02.5521887Z "digest": "sha256:3c868a62868ef54f82ac11be8dabe1b4365d000bacfe4c104e08022fc96dd767" 2025-09-07T08:59:02.5522240Z }, 2025-09-07T08:59:02.5522373Z { 2025-09-07T08:59:02.5522596Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5522882Z "size": 1710, 2025-09-07T08:59:02.5523160Z "digest": "sha256:62170a22dd571d55ffccac64c0be17f4006d2498cfbf7c6289325f0899cba005" 2025-09-07T08:59:02.5523485Z }, 2025-09-07T08:59:02.5523619Z { 2025-09-07T08:59:02.5523842Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5524121Z "size": 724, 2025-09-07T08:59:02.5524418Z "digest": "sha256:553c1d23b6c4dbd8ab136d0c3659460391ffa14cb9b43be9d7b2f47f90895697" 2025-09-07T08:59:02.5524753Z }, 2025-09-07T08:59:02.5524889Z { 2025-09-07T08:59:02.5525103Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5525393Z "size": 543, 2025-09-07T08:59:02.5525679Z "digest": "sha256:9408d557a804a7dce00897e03ce9f4f447281eb38ce4bc331098a1f1a5ff0d30" 2025-09-07T08:59:02.5526004Z }, 2025-09-07T08:59:02.5526145Z { 2025-09-07T08:59:02.5526370Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5526658Z "size": 3241148049, 2025-09-07T08:59:02.5526960Z "digest": "sha256:df607cfc7c07db6d442e0274e2be8cdc507df8716717363aa92f2fea069bdd9a" 2025-09-07T08:59:02.5527606Z }, 2025-09-07T08:59:02.5527744Z { 2025-09-07T08:59:02.5527978Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5528270Z "size": 32, 2025-09-07T08:59:02.5528553Z "digest": 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"sha256:32340b97ae50ba7b2918ab40d6f4a8db875afee69318f484e4deb0a1e2ec4beb" 2025-09-07T08:59:02.5591860Z }, 2025-09-07T08:59:02.5591988Z { 2025-09-07T08:59:02.5592223Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5592510Z "size": 32, 2025-09-07T08:59:02.5592789Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T08:59:02.5593109Z }, 2025-09-07T08:59:02.5593241Z { 2025-09-07T08:59:02.5593476Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5593763Z "size": 109, 2025-09-07T08:59:02.5594044Z "digest": "sha256:5bbb04cd6b57ae13d7cf05ab9e9b4ed9752833ee2dba4eeaac47bde6022c4725" 2025-09-07T08:59:02.5594388Z }, 2025-09-07T08:59:02.5594520Z { 2025-09-07T08:59:02.5594743Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5595025Z "size": 1897, 2025-09-07T08:59:02.5595316Z "digest": "sha256:d8c4b845cfc7ca7cc0604f472bf6da8b1f1d4e98dff3c76e1985a7013a5b9e3f" 2025-09-07T08:59:02.5595653Z }, 2025-09-07T08:59:02.5595787Z { 2025-09-07T08:59:02.5596002Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5596292Z "size": 243440375, 2025-09-07T08:59:02.5596591Z "digest": "sha256:b35c180f4d8ddc2396eac4a6b893f438481a8163ceb0b88f203488bc5f2a8ba4" 2025-09-07T08:59:02.5596919Z }, 2025-09-07T08:59:02.5597047Z { 2025-09-07T08:59:02.5597393Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5597688Z "size": 106, 2025-09-07T08:59:02.5597964Z "digest": "sha256:5f967b3c303a99e609441551f7c8988cca4fd464c0c3127506bff8509583091b" 2025-09-07T08:59:02.5598279Z }, 2025-09-07T08:59:02.5598581Z { 2025-09-07T08:59:02.5598806Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5599099Z "size": 166, 2025-09-07T08:59:02.5599370Z "digest": "sha256:04770904f012e5584f1c19a0bc92d9863baaebf08bf75b4a9981f2b7795c8953" 2025-09-07T08:59:02.5599696Z }, 2025-09-07T08:59:02.5599835Z { 2025-09-07T08:59:02.5600056Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5600338Z "size": 7943, 2025-09-07T08:59:02.5600627Z "digest": "sha256:73373941fb321b4cb4a171b1423a68a4c7fedada3a1498868d7efe93cb03170e" 2025-09-07T08:59:02.5600954Z }, 2025-09-07T08:59:02.5601085Z { 2025-09-07T08:59:02.5601298Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5601584Z "size": 8072, 2025-09-07T08:59:02.5601882Z "digest": "sha256:9572e6cd907bfa4888456dbccc6e22146a0044374585f3fa0a8ced19b831ed62" 2025-09-07T08:59:02.5602205Z }, 2025-09-07T08:59:02.5602333Z { 2025-09-07T08:59:02.5602562Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5602847Z "size": 304, 2025-09-07T08:59:02.5603130Z "digest": "sha256:64a544aba233551e38898f138dd6ba3161ccdb9554e0ffb5b9d8f0f7fe4a7fa8" 2025-09-07T08:59:02.5603450Z }, 2025-09-07T08:59:02.5603583Z { 2025-09-07T08:59:02.5603934Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5604233Z "size": 13362696, 2025-09-07T08:59:02.5604515Z "digest": "sha256:7e35418a24997de5428763c93826679486760a1a9563209ae64de66ba45f99c1" 2025-09-07T08:59:02.5604831Z }, 2025-09-07T08:59:02.5604963Z { 2025-09-07T08:59:02.5605181Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5605461Z "size": 108, 2025-09-07T08:59:02.5605742Z "digest": "sha256:2ed8e82748d4a1131f41d9e41322f47a6ffef67a5a2b7bf5392237db5c035c61" 2025-09-07T08:59:02.5606068Z }, 2025-09-07T08:59:02.5606202Z { 2025-09-07T08:59:02.5606416Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5606713Z "size": 54145663, 2025-09-07T08:59:02.5607004Z "digest": "sha256:c988fbcccd708fb158a81c429d32e1060a7e40924fc3c987c629fa69d9484717" 2025-09-07T08:59:02.5607462Z }, 2025-09-07T08:59:02.5607593Z { 2025-09-07T08:59:02.5607819Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T08:59:02.5608106Z "size": 32, 2025-09-07T08:59:02.5608401Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T08:59:02.5608733Z } 2025-09-07T08:59:02.5608867Z ] 2025-09-07T08:59:02.5609000Z } 2025-09-07T08:59:02.5609159Z + exit 0 2025-09-07T08:59:02.5645519Z ##[group]Run set -eux 2025-09-07T08:59:02.5645747Z set -eux 2025-09-07T08:59:02.5646053Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T08:59:02.5647050Z 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 2025-09-07T08:59:02.5664588Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:59:02.5664883Z env: 2025-09-07T08:59:02.5665054Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:59:02.5665250Z ##[endgroup] 2025-09-07T08:59:02.5701134Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T08:59:02.5703561Z + jq --raw-output .SecretString 2025-09-07T08:59:02.5704204Z + jq -r .docker_hub_readonly_token 2025-09-07T08:59:02.5705405Z + docker login --username pytorchbot --password-stdin 2025-09-07T08:59:03.2638230Z 2025-09-07T08:59:03.2638872Z WARNING! Your credentials are stored unencrypted in '/home/frank/.docker/config.json'. 2025-09-07T08:59:03.2639456Z Configure a credential helper to remove this warning. See 2025-09-07T08:59:03.2639874Z https://docs.docker.com/go/credential-store/ 2025-09-07T08:59:03.2640108Z 2025-09-07T08:59:03.2640197Z Login Succeeded 2025-09-07T08:59:03.2723660Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T08:59:03.2723974Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T08:59:03.2724275Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T08:59:03.2740139Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:59:03.2740434Z env: 2025-09-07T08:59:03.2740605Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:59:03.2741292Z 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 2025-09-07T08:59:03.2741997Z ##[endgroup] 2025-09-07T08:59:03.2776758Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:59:03.2812000Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T08:59:03.2812346Z with: 2025-09-07T08:59:03.2812985Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:59:03.2813762Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T08:59:03.2814067Z env: 2025-09-07T08:59:03.2814231Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:59:03.2814430Z ##[endgroup] 2025-09-07T08:59:03.2826905Z ##[group]Run set -x 2025-09-07T08:59:03.2827103Z set -x 2025-09-07T08:59:03.2827449Z set +e 2025-09-07T08:59:03.2827615Z  2025-09-07T08:59:03.2827765Z login() { 2025-09-07T08:59:03.2828130Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T08:59:03.2828508Z } 2025-09-07T08:59:03.2828661Z  2025-09-07T08:59:03.2828834Z retry () { 2025-09-07T08:59:03.2829033Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T08:59:03.2829254Z } 2025-09-07T08:59:03.2829410Z  2025-09-07T08:59:03.2829576Z retry login "${DOCKER_REGISTRY}" 2025-09-07T08:59:03.2829795Z  2025-09-07T08:59:03.2830140Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T08:59:03.2830618Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T08:59:03.2830889Z  2025-09-07T08:59:03.2831040Z set -e 2025-09-07T08:59:03.2831281Z # ignore output since only exit code is used for conditional 2025-09-07T08:59:03.2831635Z # only pull docker image if it's not available locally 2025-09-07T08:59:03.2832024Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T08:59:03.2832389Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T08:59:03.2832624Z fi 2025-09-07T08:59:03.2846677Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:59:03.2846976Z env: 2025-09-07T08:59:03.2847136Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:59:03.2847946Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:59:03.2848707Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T08:59:03.2848984Z ##[endgroup] 2025-09-07T08:59:03.2879432Z + set +e 2025-09-07T08:59:03.2879800Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T08:59:03.2880257Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T08:59:03.2883059Z + aws ecr get-login-password --region us-east-1 2025-09-07T08:59:03.2884600Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T08:59:03.9365457Z 2025-09-07T08:59:03.9365808Z WARNING! Your credentials are stored unencrypted in '/home/frank/.docker/config.json'. 2025-09-07T08:59:03.9366368Z Configure a credential helper to remove this warning. See 2025-09-07T08:59:03.9367100Z https://docs.docker.com/go/credential-store/ 2025-09-07T08:59:03.9367522Z 2025-09-07T08:59:03.9367611Z Login Succeeded 2025-09-07T08:59:03.9395177Z ++ 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 2025-09-07T08:59:03.9396166Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T08:59:04.1502394Z + IMAGE_SIZE=36183.606596946716 2025-09-07T08:59:04.1502757Z + echo 'Compressed size of image in MB: 36183.606596946716' 2025-09-07T08:59:04.1503078Z + set -e 2025-09-07T08:59:04.1503304Z Compressed size of image in MB: 36183.606596946716 2025-09-07T08:59:04.1504607Z + 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 2025-09-07T08:59:04.1632793Z + 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 2025-09-07T08:59:04.1634020Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:59:04.4068382Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T08:59:04.4069153Z e6fdc8487bfe: Pulling fs layer 2025-09-07T08:59:04.4069416Z 171dcef20c49: Pulling fs layer 2025-09-07T08:59:04.4069658Z 4c92b3f72f1d: Pulling fs layer 2025-09-07T08:59:04.4069888Z 744f9ba90a65: Pulling fs layer 2025-09-07T08:59:04.4070136Z d3c08322a332: Pulling fs layer 2025-09-07T08:59:04.4070373Z ffd43b71f3cc: Pulling fs layer 2025-09-07T08:59:04.4070612Z 830692b57f6e: Pulling fs layer 2025-09-07T08:59:04.4070838Z 5bad36d18468: Pulling fs layer 2025-09-07T08:59:04.4071086Z 0e34fdd9ac5c: Pulling fs layer 2025-09-07T08:59:04.4071314Z ffd43b71f3cc: Waiting 2025-09-07T08:59:04.4071507Z 830692b57f6e: Waiting 2025-09-07T08:59:04.4071691Z 3c868a62868e: Pulling fs layer 2025-09-07T08:59:04.4071903Z 5bad36d18468: Waiting 2025-09-07T08:59:04.4072093Z 62170a22dd57: Pulling fs layer 2025-09-07T08:59:04.4072302Z 744f9ba90a65: Waiting 2025-09-07T08:59:04.4072479Z d3c08322a332: Waiting 2025-09-07T08:59:04.4072660Z 3c868a62868e: Waiting 2025-09-07T08:59:04.4072871Z 553c1d23b6c4: Pulling fs layer 2025-09-07T08:59:04.4073101Z 9408d557a804: Pulling fs layer 2025-09-07T08:59:04.4073303Z 62170a22dd57: Waiting 2025-09-07T08:59:04.4073487Z 0e34fdd9ac5c: Waiting 2025-09-07T08:59:04.4073672Z 553c1d23b6c4: Waiting 2025-09-07T08:59:04.4073868Z df607cfc7c07: Pulling fs layer 2025-09-07T08:59:04.4074088Z 4f4fb700ef54: Pulling fs layer 2025-09-07T08:59:04.4074302Z df607cfc7c07: Waiting 2025-09-07T08:59:04.4074495Z 40a8e39faeda: Pulling fs layer 2025-09-07T08:59:04.4074721Z d895771c9fac: Pulling fs layer 2025-09-07T08:59:04.4074923Z 9408d557a804: Waiting 2025-09-07T08:59:04.4075100Z 4f4fb700ef54: Waiting 2025-09-07T08:59:04.4075279Z 40a8e39faeda: Waiting 2025-09-07T08:59:04.4075456Z d895771c9fac: Waiting 2025-09-07T08:59:04.4075638Z c4ee04f39d49: Pulling fs layer 2025-09-07T08:59:04.4075849Z 3690c9826e48: Pulling fs layer 2025-09-07T08:59:04.4076058Z 57cbc5013733: Pulling fs layer 2025-09-07T08:59:04.4076269Z f5f4b06b58bb: Pulling fs layer 2025-09-07T08:59:04.4076480Z f59713ce4bf4: Pulling fs layer 2025-09-07T08:59:04.4076692Z fe0486521517: Pulling fs layer 2025-09-07T08:59:04.4076897Z c4ee04f39d49: Waiting 2025-09-07T08:59:04.4077084Z 8c21cc3715a2: Pulling fs layer 2025-09-07T08:59:04.4077423Z f5f4b06b58bb: Waiting 2025-09-07T08:59:04.4077610Z 3690c9826e48: Waiting 2025-09-07T08:59:04.4077799Z d37c58456a6a: Pulling fs layer 2025-09-07T08:59:04.4078008Z f59713ce4bf4: Waiting 2025-09-07T08:59:04.4078180Z fe0486521517: Waiting 2025-09-07T08:59:04.4078364Z d042f63abc13: Pulling fs layer 2025-09-07T08:59:04.4078869Z 8c21cc3715a2: Waiting 2025-09-07T08:59:04.4079060Z 621284a9c05a: Pulling fs layer 2025-09-07T08:59:04.4079261Z d042f63abc13: Waiting 2025-09-07T08:59:04.4079439Z d37c58456a6a: Waiting 2025-09-07T08:59:04.4079625Z 85f605d2dd3a: Pulling fs layer 2025-09-07T08:59:04.4079832Z 57cbc5013733: Waiting 2025-09-07T08:59:04.4080187Z 381b5539e598: Pulling fs layer 2025-09-07T08:59:04.4080405Z 621284a9c05a: Waiting 2025-09-07T08:59:04.4080592Z a487c0c80029: Pulling fs layer 2025-09-07T08:59:04.4080813Z 48bcb81e2566: Pulling fs layer 2025-09-07T08:59:04.4081020Z e261928c0043: Pulling fs layer 2025-09-07T08:59:04.4081222Z 0fea55428091: Pulling fs layer 2025-09-07T08:59:04.4081414Z b4291bccbb84: Pulling fs layer 2025-09-07T08:59:04.4081600Z e261928c0043: Waiting 2025-09-07T08:59:04.4081963Z ddc91b09189a: Pulling fs layer 2025-09-07T08:59:04.4082164Z 85f605d2dd3a: Waiting 2025-09-07T08:59:04.4082327Z 381b5539e598: Waiting 2025-09-07T08:59:04.4082496Z 7540c7428627: Pulling fs layer 2025-09-07T08:59:04.4082685Z 0fea55428091: Waiting 2025-09-07T08:59:04.4082859Z b4291bccbb84: Waiting 2025-09-07T08:59:04.4083039Z a487c0c80029: Waiting 2025-09-07T08:59:04.4083199Z 48bcb81e2566: Waiting 2025-09-07T08:59:04.4083373Z 003c4e2598fb: Pulling fs layer 2025-09-07T08:59:04.4083578Z 7540c7428627: Waiting 2025-09-07T08:59:04.4083741Z ddc91b09189a: Waiting 2025-09-07T08:59:04.4083912Z 5687149362ae: Pulling fs layer 2025-09-07T08:59:04.4084103Z cdd2cf54eb2a: Pulling fs layer 2025-09-07T08:59:04.4084302Z d3ad4df1ba3a: Pulling fs layer 2025-09-07T08:59:04.4084501Z 3c9055753b4c: Pulling fs layer 2025-09-07T08:59:04.4084698Z 31cf8d0bd21c: Pulling fs layer 2025-09-07T08:59:04.4084899Z 6623ea814971: Pulling fs layer 2025-09-07T08:59:04.4085090Z 11696c3aa380: Pulling fs layer 2025-09-07T08:59:04.4085283Z ef4d544e35ca: Pulling fs layer 2025-09-07T08:59:04.4085472Z 3c9055753b4c: Waiting 2025-09-07T08:59:04.4085634Z 5c5108865e5e: Pulling fs layer 2025-09-07T08:59:04.4085818Z 6623ea814971: Waiting 2025-09-07T08:59:04.4085988Z 31cf8d0bd21c: Waiting 2025-09-07T08:59:04.4086153Z 11696c3aa380: Waiting 2025-09-07T08:59:04.4086307Z 5687149362ae: Waiting 2025-09-07T08:59:04.4086484Z 9e97578e9edf: Pulling fs layer 2025-09-07T08:59:04.4086678Z 003c4e2598fb: Waiting 2025-09-07T08:59:04.4086843Z cdd2cf54eb2a: Waiting 2025-09-07T08:59:04.4087003Z d3ad4df1ba3a: Waiting 2025-09-07T08:59:04.4087165Z 5c5108865e5e: Waiting 2025-09-07T08:59:04.4087471Z ef4d544e35ca: Waiting 2025-09-07T08:59:04.4087654Z da5a91b54cb5: Pulling fs layer 2025-09-07T08:59:04.4087847Z 9e97578e9edf: Waiting 2025-09-07T08:59:04.4088019Z 1e93be219e89: Pulling fs layer 2025-09-07T08:59:04.4088206Z da5a91b54cb5: Waiting 2025-09-07T08:59:04.4088373Z 1e93be219e89: Waiting 2025-09-07T08:59:04.4088538Z 136825afebb5: Pulling fs layer 2025-09-07T08:59:04.4088731Z 22b39805302d: Pulling fs layer 2025-09-07T08:59:04.4088927Z d12add675e35: Pulling fs layer 2025-09-07T08:59:04.4089116Z bc127046d33a: Pulling fs layer 2025-09-07T08:59:04.4089304Z 136825afebb5: Waiting 2025-09-07T08:59:04.4089483Z 951e8ce83841: Pulling fs layer 2025-09-07T08:59:04.4089675Z 32340b97ae50: Pulling fs layer 2025-09-07T08:59:04.4089856Z d12add675e35: Waiting 2025-09-07T08:59:04.4090031Z 5bbb04cd6b57: Pulling fs layer 2025-09-07T08:59:04.4090221Z 951e8ce83841: Waiting 2025-09-07T08:59:04.4090383Z 32340b97ae50: Waiting 2025-09-07T08:59:04.4090548Z d8c4b845cfc7: Pulling fs layer 2025-09-07T08:59:04.4090737Z bc127046d33a: Waiting 2025-09-07T08:59:04.4090909Z 5bbb04cd6b57: Waiting 2025-09-07T08:59:04.4091072Z d8c4b845cfc7: Waiting 2025-09-07T08:59:04.4091239Z b35c180f4d8d: Pulling fs layer 2025-09-07T08:59:04.4091440Z 5f967b3c303a: Pulling fs layer 2025-09-07T08:59:04.4091639Z 22b39805302d: Waiting 2025-09-07T08:59:04.4091816Z 04770904f012: Pulling fs layer 2025-09-07T08:59:04.4092001Z 73373941fb32: Pulling fs layer 2025-09-07T08:59:04.4092205Z 9572e6cd907b: Pulling fs layer 2025-09-07T08:59:04.4092402Z 64a544aba233: Pulling fs layer 2025-09-07T08:59:04.4092597Z 7e35418a2499: Pulling fs layer 2025-09-07T08:59:04.4092939Z b35c180f4d8d: Waiting 2025-09-07T08:59:04.4093106Z 73373941fb32: Waiting 2025-09-07T08:59:04.4093279Z 2ed8e82748d4: Pulling fs layer 2025-09-07T08:59:04.4093468Z 9572e6cd907b: Waiting 2025-09-07T08:59:04.4093624Z 64a544aba233: Waiting 2025-09-07T08:59:04.4093797Z c988fbcccd70: Pulling fs layer 2025-09-07T08:59:04.4093990Z 04770904f012: Waiting 2025-09-07T08:59:04.4094150Z 7e35418a2499: Waiting 2025-09-07T08:59:04.4094305Z c988fbcccd70: Waiting 2025-09-07T08:59:04.4094468Z 5f967b3c303a: Waiting 2025-09-07T08:59:04.4094747Z 2ed8e82748d4: Waiting 2025-09-07T08:59:04.4840057Z 171dcef20c49: Verifying Checksum 2025-09-07T08:59:04.4840557Z 171dcef20c49: Download complete 2025-09-07T08:59:04.6011032Z 744f9ba90a65: Download complete 2025-09-07T08:59:04.6566147Z d3c08322a332: Verifying Checksum 2025-09-07T08:59:04.6566772Z d3c08322a332: Download complete 2025-09-07T08:59:04.7339530Z ffd43b71f3cc: Download complete 2025-09-07T08:59:04.7738465Z e6fdc8487bfe: Verifying Checksum 2025-09-07T08:59:04.7738755Z e6fdc8487bfe: Download complete 2025-09-07T08:59:04.8210925Z 830692b57f6e: Download complete 2025-09-07T08:59:04.8565754Z 5bad36d18468: Download complete 2025-09-07T08:59:04.9390508Z 3c868a62868e: Download complete 2025-09-07T08:59:05.0015721Z 62170a22dd57: Download complete 2025-09-07T08:59:05.0844031Z 553c1d23b6c4: Verifying Checksum 2025-09-07T08:59:05.0844352Z 553c1d23b6c4: Download complete 2025-09-07T08:59:05.1566166Z 9408d557a804: Download complete 2025-09-07T08:59:05.4972773Z e6fdc8487bfe: Pull complete 2025-09-07T08:59:05.5340286Z 171dcef20c49: Pull complete 2025-09-07T08:59:05.9880824Z 0e34fdd9ac5c: Verifying Checksum 2025-09-07T08:59:05.9881166Z 0e34fdd9ac5c: Download complete 2025-09-07T08:59:05.9961746Z 4f4fb700ef54: Verifying Checksum 2025-09-07T08:59:05.9962021Z 4f4fb700ef54: Download complete 2025-09-07T08:59:06.1165185Z 40a8e39faeda: Verifying Checksum 2025-09-07T08:59:06.1165461Z 40a8e39faeda: Download complete 2025-09-07T08:59:06.7148850Z d895771c9fac: Verifying Checksum 2025-09-07T08:59:06.7149178Z d895771c9fac: Download complete 2025-09-07T08:59:06.7964817Z c4ee04f39d49: Verifying Checksum 2025-09-07T08:59:06.7965283Z c4ee04f39d49: Download complete 2025-09-07T08:59:06.8928859Z 3690c9826e48: Verifying Checksum 2025-09-07T08:59:06.8929331Z 3690c9826e48: Download complete 2025-09-07T08:59:06.9697829Z 57cbc5013733: Download complete 2025-09-07T08:59:07.0446124Z f5f4b06b58bb: Verifying Checksum 2025-09-07T08:59:07.0446518Z f5f4b06b58bb: Download complete 2025-09-07T08:59:07.1527755Z f59713ce4bf4: Verifying Checksum 2025-09-07T08:59:07.1528081Z f59713ce4bf4: Download complete 2025-09-07T08:59:07.2328693Z fe0486521517: Verifying Checksum 2025-09-07T08:59:07.2328998Z fe0486521517: Download complete 2025-09-07T08:59:07.6068127Z 4c92b3f72f1d: Verifying Checksum 2025-09-07T08:59:07.6068425Z 4c92b3f72f1d: Download complete 2025-09-07T08:59:07.6919361Z d37c58456a6a: Verifying Checksum 2025-09-07T08:59:07.6919648Z d37c58456a6a: Download complete 2025-09-07T08:59:08.1291208Z d042f63abc13: Verifying Checksum 2025-09-07T08:59:08.1291550Z d042f63abc13: Download complete 2025-09-07T08:59:08.2146224Z 621284a9c05a: Download complete 2025-09-07T08:59:08.2953279Z 85f605d2dd3a: Download complete 2025-09-07T08:59:12.9737821Z 381b5539e598: Verifying Checksum 2025-09-07T08:59:12.9738190Z 381b5539e598: Download complete 2025-09-07T08:59:13.0815016Z a487c0c80029: Download complete 2025-09-07T08:59:13.1656432Z 48bcb81e2566: Verifying Checksum 2025-09-07T08:59:13.1656760Z 48bcb81e2566: Download complete 2025-09-07T08:59:13.2502078Z e261928c0043: Verifying Checksum 2025-09-07T08:59:13.2502416Z e261928c0043: Download complete 2025-09-07T08:59:13.3312389Z 0fea55428091: Verifying Checksum 2025-09-07T08:59:13.3312797Z 0fea55428091: Download complete 2025-09-07T08:59:13.5921772Z b4291bccbb84: Verifying Checksum 2025-09-07T08:59:13.5922143Z b4291bccbb84: Download complete 2025-09-07T08:59:13.6761480Z ddc91b09189a: Verifying Checksum 2025-09-07T08:59:13.6761749Z ddc91b09189a: Download complete 2025-09-07T08:59:13.7430902Z 7540c7428627: Verifying Checksum 2025-09-07T08:59:13.7431549Z 7540c7428627: Download complete 2025-09-07T08:59:13.8013530Z 003c4e2598fb: Verifying Checksum 2025-09-07T08:59:13.8013819Z 003c4e2598fb: Download complete 2025-09-07T08:59:13.8737874Z 5687149362ae: Verifying Checksum 2025-09-07T08:59:13.8738174Z 5687149362ae: Download complete 2025-09-07T08:59:13.9610541Z cdd2cf54eb2a: Download complete 2025-09-07T08:59:14.0516818Z 4c92b3f72f1d: Pull complete 2025-09-07T08:59:14.0933807Z 744f9ba90a65: Pull complete 2025-09-07T08:59:14.1360045Z d3c08322a332: Pull complete 2025-09-07T08:59:14.1764920Z ffd43b71f3cc: Pull complete 2025-09-07T08:59:14.2163231Z 830692b57f6e: Pull complete 2025-09-07T08:59:14.2567200Z 5bad36d18468: Pull complete 2025-09-07T08:59:15.8213434Z 0e34fdd9ac5c: Pull complete 2025-09-07T08:59:15.8644537Z 3c868a62868e: Pull complete 2025-09-07T08:59:15.9034828Z 62170a22dd57: Pull complete 2025-09-07T08:59:15.9432767Z 553c1d23b6c4: Pull complete 2025-09-07T08:59:15.9818238Z 9408d557a804: Pull complete 2025-09-07T08:59:37.6181934Z df607cfc7c07: Download complete 2025-09-07T08:59:37.7026868Z 3c9055753b4c: Download complete 2025-09-07T08:59:41.2940991Z 31cf8d0bd21c: Verifying Checksum 2025-09-07T08:59:41.2941366Z 31cf8d0bd21c: Download complete 2025-09-07T09:00:15.1435646Z df607cfc7c07: Pull complete 2025-09-07T09:00:17.5414076Z 4f4fb700ef54: Pull complete 2025-09-07T09:00:19.8197210Z 40a8e39faeda: Pull complete 2025-09-07T09:00:22.4400654Z d895771c9fac: Pull complete 2025-09-07T09:00:24.1592663Z c4ee04f39d49: Pull complete 2025-09-07T09:00:26.6548596Z 3690c9826e48: Pull complete 2025-09-07T09:00:29.2091757Z 57cbc5013733: Pull complete 2025-09-07T09:00:31.7497157Z f5f4b06b58bb: Pull complete 2025-09-07T09:00:34.3896000Z f59713ce4bf4: Pull complete 2025-09-07T09:00:37.1426092Z fe0486521517: Pull complete 2025-09-07T09:04:27.7105793Z 8c21cc3715a2: Verifying Checksum 2025-09-07T09:04:27.7106162Z 8c21cc3715a2: Download complete 2025-09-07T09:04:27.7962345Z 11696c3aa380: Verifying Checksum 2025-09-07T09:04:27.7962657Z 11696c3aa380: Download complete 2025-09-07T09:04:27.8810729Z ef4d544e35ca: Verifying Checksum 2025-09-07T09:04:27.8811040Z ef4d544e35ca: Download complete 2025-09-07T09:04:27.9668565Z 5c5108865e5e: Download complete 2025-09-07T09:04:28.0456697Z 9e97578e9edf: Verifying Checksum 2025-09-07T09:04:28.0457241Z 9e97578e9edf: Download complete 2025-09-07T09:04:28.1376516Z da5a91b54cb5: Download complete 2025-09-07T09:04:28.2178352Z 1e93be219e89: Download complete 2025-09-07T09:04:28.2788390Z 136825afebb5: Verifying Checksum 2025-09-07T09:04:28.2788676Z 136825afebb5: Download complete 2025-09-07T09:04:28.3545580Z 22b39805302d: Verifying Checksum 2025-09-07T09:04:28.3545856Z 22b39805302d: Download complete 2025-09-07T09:04:28.4408732Z d12add675e35: Download complete 2025-09-07T09:04:28.5279654Z bc127046d33a: Verifying Checksum 2025-09-07T09:04:28.5280007Z bc127046d33a: Download complete 2025-09-07T09:04:28.7926542Z 951e8ce83841: Verifying Checksum 2025-09-07T09:04:28.7927027Z 951e8ce83841: Download complete 2025-09-07T09:04:28.8808431Z 32340b97ae50: Download complete 2025-09-07T09:04:28.9616721Z 5bbb04cd6b57: Verifying Checksum 2025-09-07T09:04:28.9617052Z 5bbb04cd6b57: Download complete 2025-09-07T09:04:29.0526481Z d8c4b845cfc7: Verifying Checksum 2025-09-07T09:04:29.0526817Z d8c4b845cfc7: Download complete 2025-09-07T09:04:31.5501342Z b35c180f4d8d: Verifying Checksum 2025-09-07T09:04:31.5501666Z b35c180f4d8d: Download complete 2025-09-07T09:04:31.6325792Z 5f967b3c303a: Verifying Checksum 2025-09-07T09:04:31.6326129Z 5f967b3c303a: Download complete 2025-09-07T09:04:31.7099070Z 04770904f012: Verifying Checksum 2025-09-07T09:04:31.7099375Z 04770904f012: Download complete 2025-09-07T09:04:31.7896923Z 73373941fb32: Verifying Checksum 2025-09-07T09:04:31.7897456Z 73373941fb32: Download complete 2025-09-07T09:04:31.8704817Z 9572e6cd907b: Verifying Checksum 2025-09-07T09:04:31.8705161Z 9572e6cd907b: Download complete 2025-09-07T09:04:31.9551923Z 64a544aba233: Download complete 2025-09-07T09:04:32.1491717Z 7e35418a2499: Verifying Checksum 2025-09-07T09:04:32.1492588Z 7e35418a2499: Download complete 2025-09-07T09:04:32.2042014Z 2ed8e82748d4: Verifying Checksum 2025-09-07T09:04:32.2042356Z 2ed8e82748d4: Download complete 2025-09-07T09:04:32.8995893Z c988fbcccd70: Verifying Checksum 2025-09-07T09:04:32.8996293Z c988fbcccd70: Download complete 2025-09-07T09:04:34.9781900Z 6623ea814971: Verifying Checksum 2025-09-07T09:04:34.9782224Z 6623ea814971: Download complete 2025-09-07T09:04:40.7101671Z d3ad4df1ba3a: Verifying Checksum 2025-09-07T09:04:40.7102054Z d3ad4df1ba3a: Download complete 2025-09-07T09:05:22.1053539Z 8c21cc3715a2: Pull complete 2025-09-07T09:05:26.5467842Z d37c58456a6a: Pull complete 2025-09-07T09:05:30.9926387Z d042f63abc13: Pull complete 2025-09-07T09:05:34.1417613Z 621284a9c05a: Pull complete 2025-09-07T09:05:38.2297851Z 85f605d2dd3a: Pull complete 2025-09-07T09:05:47.1695579Z 381b5539e598: Pull complete 2025-09-07T09:05:49.7170775Z a487c0c80029: Pull complete 2025-09-07T09:05:52.5335093Z 48bcb81e2566: Pull complete 2025-09-07T09:05:58.6185787Z e261928c0043: Pull complete 2025-09-07T09:06:00.3750893Z 0fea55428091: Pull complete 2025-09-07T09:06:03.2421143Z b4291bccbb84: Pull complete 2025-09-07T09:06:06.4568772Z ddc91b09189a: Pull complete 2025-09-07T09:06:09.2164164Z 7540c7428627: Pull complete 2025-09-07T09:06:15.4862934Z 003c4e2598fb: Pull complete 2025-09-07T09:06:18.6459737Z 5687149362ae: Pull complete 2025-09-07T09:06:20.2023535Z cdd2cf54eb2a: Pull complete 2025-09-07T09:08:15.0922526Z d3ad4df1ba3a: Pull complete 2025-09-07T09:08:17.5361194Z 3c9055753b4c: Pull complete 2025-09-07T09:08:20.5845869Z 31cf8d0bd21c: Pull complete 2025-09-07T09:09:40.0999549Z 6623ea814971: Pull complete 2025-09-07T09:09:44.1947592Z 11696c3aa380: Pull complete 2025-09-07T09:09:48.4217133Z ef4d544e35ca: Pull complete 2025-09-07T09:09:54.1101411Z 5c5108865e5e: Pull complete 2025-09-07T09:10:01.2006205Z 9e97578e9edf: Pull complete 2025-09-07T09:10:05.4563063Z da5a91b54cb5: Pull complete 2025-09-07T09:10:10.7819687Z 1e93be219e89: Pull complete 2025-09-07T09:10:14.4320479Z 136825afebb5: Pull complete 2025-09-07T09:10:17.4381058Z 22b39805302d: Pull complete 2025-09-07T09:10:21.5023840Z d12add675e35: Pull complete 2025-09-07T09:10:25.5643766Z bc127046d33a: Pull complete 2025-09-07T09:10:32.2661155Z 951e8ce83841: Pull complete 2025-09-07T09:10:34.5548894Z 32340b97ae50: Pull complete 2025-09-07T09:10:41.0315463Z 5bbb04cd6b57: Pull complete 2025-09-07T09:10:43.7832141Z d8c4b845cfc7: Pull complete 2025-09-07T09:10:52.9092675Z b35c180f4d8d: Pull complete 2025-09-07T09:10:55.2465064Z 5f967b3c303a: Pull complete 2025-09-07T09:10:56.1425727Z 04770904f012: Pull complete 2025-09-07T09:10:57.3147534Z 73373941fb32: Pull complete 2025-09-07T09:11:00.2237240Z 9572e6cd907b: Pull complete 2025-09-07T09:11:03.3608425Z 64a544aba233: Pull complete 2025-09-07T09:11:07.6803119Z 7e35418a2499: Pull complete 2025-09-07T09:11:10.3704159Z 2ed8e82748d4: Pull complete 2025-09-07T09:11:14.6118675Z c988fbcccd70: Pull complete 2025-09-07T09:11:19.9624024Z Digest: sha256:f30843ff9ea9e117a2c8e6d207e85c9e77dfe682f1dfcdfea5b94178d1bf00b3 2025-09-07T09:11:20.6546880Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:11:20.8464099Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:11:20.9086132Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:11:20.9086903Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:11:20.9103192Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:11:20.9103490Z env: 2025-09-07T09:11:20.9103649Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:11:20.9104107Z ##[endgroup] 2025-09-07T09:11:21.2868338Z ##[group]Run echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T09:11:21.2868977Z echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T09:11:21.2884761Z shell: /usr/bin/bash -e {0} 2025-09-07T09:11:21.2884986Z env: 2025-09-07T09:11:21.2885148Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:11:21.2885343Z ##[endgroup] 2025-09-07T09:11:21.3477715Z ##[group]Run echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T09:11:21.3478534Z echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T09:11:21.3493786Z shell: /usr/bin/bash -e {0} 2025-09-07T09:11:21.3494012Z env: 2025-09-07T09:11:21.3494176Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:11:21.3494428Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:11:21.3494770Z ##[endgroup] 2025-09-07T09:11:21.3933789Z Prepare all required actions 2025-09-07T09:11:21.4778985Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T09:11:21.4779309Z with: 2025-09-07T09:11:21.4779952Z github-token: *** 2025-09-07T09:11:21.4780174Z env: 2025-09-07T09:11:21.4780371Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:11:21.4780686Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:11:21.4781118Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T09:11:21.4781527Z ##[endgroup] 2025-09-07T09:11:21.9231488Z ##[group]Run set -eux 2025-09-07T09:11:21.9231809Z set -eux 2025-09-07T09:11:21.9232201Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T09:11:21.9249368Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:11:21.9249673Z env: 2025-09-07T09:11:21.9249843Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:11:21.9250097Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:11:21.9250498Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T09:11:21.9251118Z GITHUB_TOKEN: *** 2025-09-07T09:11:21.9251307Z ##[endgroup] 2025-09-07T09:11:22.0241241Z + python3 .github/scripts/get_workflow_job_id.py 17525296438 i-0d3ed1ff3ccbeec77-1006 2025-09-07T09:11:22.8335269Z Setting output job-id=49775781860 2025-09-07T09:11:22.8335830Z Setting output job-name=test-weekly / test (inductor_torchbench_perf_cuda_h100, 5, 9, linux.aws.h100) 2025-09-07T09:11:23.0404977Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T09:11:23.0405580Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T09:11:23.0406308Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T09:11:23.0406950Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:11:23.0422589Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:11:23.0422883Z env: 2025-09-07T09:11:23.0423044Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:11:23.0423301Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:11:23.0423640Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T09:11:23.0423912Z JOB_ID: 49775781860 2025-09-07T09:11:23.0424259Z JOB_NAME: test-weekly / test (inductor_torchbench_perf_cuda_h100, 5, 9, linux.aws.h100) 2025-09-07T09:11:23.0424657Z WORKFLOW_NAME: inductor-perf-nightly-h100 2025-09-07T09:11:23.0424900Z WORKFLOW_RUN_ID: 17525296438 2025-09-07T09:11:23.0425107Z MONITOR_LOG_INTERVAL: 15 2025-09-07T09:11:23.0425309Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T09:11:23.0425518Z ##[endgroup] 2025-09-07T09:11:23.3671308Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T09:11:24.0495045Z Collecting psutil==5.9.8 2025-09-07T09:11:24.1797458Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-09-07T09:11:24.6431770Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.2/288.2 KB 603.0 kB/s eta 0:00:00 2025-09-07T09:11:25.1280940Z Collecting dataclasses_json==0.6.7 2025-09-07T09:11:25.1306955Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T09:11:26.2128958Z Collecting nvidia-ml-py==11.525.84 2025-09-07T09:11:26.2155158Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T09:11:27.0987189Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T09:11:27.2805125Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T09:11:28.3803448Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T09:11:28.3831189Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T09:11:28.8534870Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.9/50.9 KB 86.8 kB/s eta 0:00:00 2025-09-07T09:11:29.4692640Z Collecting packaging>=17.0 2025-09-07T09:11:29.4717923Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T09:11:29.9075049Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.5/66.5 KB 129.6 kB/s eta 0:00:00 2025-09-07T09:11:30.4559512Z Collecting mypy-extensions>=0.3.0 2025-09-07T09:11:30.4584031Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T09:11:31.3964777Z Collecting typing-extensions>=3.7.4 2025-09-07T09:11:31.3991775Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T09:11:31.8771371Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 44.6/44.6 KB 72.2 kB/s eta 0:00:00 2025-09-07T09:11:31.9397808Z Installing collected packages: nvidia-ml-py, typing-extensions, psutil, packaging, mypy-extensions, typing-inspect, marshmallow, dataclasses_json 2025-09-07T09:11:37.1690553Z Successfully installed dataclasses_json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-09-07T09:11:37.2272188Z Prepare all required actions 2025-09-07T09:11:37.2272547Z Getting action download info 2025-09-07T09:11:37.3756151Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T09:11:39.0898200Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T09:11:40.6606077Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T09:11:40.6606371Z with: 2025-09-07T09:11:40.6606581Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:11:40.6606834Z s3-bucket: gha-artifacts 2025-09-07T09:11:40.6607028Z env: 2025-09-07T09:11:40.6607191Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:11:40.6608409Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:11:40.6608746Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T09:11:40.6609030Z ##[endgroup] 2025-09-07T09:11:40.6729605Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T09:11:40.6729862Z with: 2025-09-07T09:11:40.6730063Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:11:40.6730308Z s3-bucket: gha-artifacts 2025-09-07T09:11:40.6730521Z region: us-east-1 2025-09-07T09:11:40.6730678Z env: 2025-09-07T09:11:40.6730846Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:11:40.6731097Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:11:40.6731438Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T09:11:40.6731714Z ##[endgroup] 2025-09-07T09:11:41.1529877Z (node:7887) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T09:11:41.1530248Z 2025-09-07T09:11:41.1530407Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T09:11:41.1530814Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T09:11:41.1531262Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T09:11:41.2418606Z Found 1 objects with prefix pytorch/pytorch/17525296438/linux-jammy-cuda12.8-py3.10-gcc9-sm90/ 2025-09-07T09:11:41.2419666Z Starting download (1/1): /home/frank/_work/pytorch/pytorch/artifacts.zip 2025-09-07T09:11:54.2663941Z Finished download (1/1): /home/frank/_work/pytorch/pytorch/artifacts.zip 2025-09-07T09:11:54.2671953Z Artifact download has finished successfully 2025-09-07T09:11:54.3060037Z ##[group]Run unzip -o artifacts.zip 2025-09-07T09:11:54.3060323Z unzip -o artifacts.zip 2025-09-07T09:11:54.3075906Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:11:54.3076200Z env: 2025-09-07T09:11:54.3076368Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:11:54.3076628Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:11:54.3076969Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T09:11:54.3077248Z ##[endgroup] 2025-09-07T09:11:54.5766014Z Archive: artifacts.zip 2025-09-07T09:11:54.5767591Z creating: dist/ 2025-09-07T09:11:56.4389664Z inflating: dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T09:11:56.4390145Z creating: dist/vision/ 2025-09-07T09:11:56.4498776Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:11:56.4499260Z creating: dist/audio/ 2025-09-07T09:11:56.4554831Z inflating: dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T09:11:56.4555558Z creating: dist/torchrec/ 2025-09-07T09:11:56.4578843Z inflating: dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T09:11:56.4579488Z creating: dist/fbgemm_gpu/ 2025-09-07T09:11:57.2866399Z inflating: dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T09:11:57.2866855Z creating: dist/ao/ 2025-09-07T09:11:57.2904768Z inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T09:11:57.3023846Z inflating: dist/.ninja_log 2025-09-07T09:11:57.3024740Z creating: build/custom_test_artifacts/ 2025-09-07T09:11:57.3025616Z creating: build/custom_test_artifacts/custom-op-build/ 2025-09-07T09:11:57.3026101Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-09-07T09:11:57.3026636Z creating: 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build/bin/dlconvertor_test 2025-09-07T09:12:05.6848535Z inflating: build/bin/extension_backend_test 2025-09-07T09:12:05.6901047Z inflating: build/bin/half_test 2025-09-07T09:12:05.6948298Z inflating: build/bin/lazy_tensor_test 2025-09-07T09:12:05.7000013Z inflating: build/bin/memory_format_test 2025-09-07T09:12:05.7051202Z inflating: build/bin/math_kernel_test 2025-09-07T09:12:05.7140892Z inflating: build/bin/ivalue_test 2025-09-07T09:12:05.7191378Z inflating: build/bin/memory_overlapping_test 2025-09-07T09:12:05.7241376Z inflating: build/bin/mobile_memory_cleanup 2025-09-07T09:12:05.7294319Z inflating: build/bin/native_test 2025-09-07T09:12:05.7342500Z inflating: build/bin/operator_name_test 2025-09-07T09:12:05.7390901Z inflating: build/bin/operators_test 2025-09-07T09:12:05.7440229Z inflating: build/bin/packedtensoraccessor_test 2025-09-07T09:12:05.7503725Z inflating: build/bin/pow_test 2025-09-07T09:12:05.7557840Z inflating: build/bin/quantized_test 2025-09-07T09:12:05.7604969Z inflating: build/bin/reduce_ops_test 2025-09-07T09:12:05.7653703Z inflating: build/bin/reportMemoryUsage_test 2025-09-07T09:12:05.7706998Z inflating: build/bin/scalar_tensor_test 2025-09-07T09:12:05.7763073Z inflating: build/bin/scalar_test 2025-09-07T09:12:05.7811370Z inflating: build/bin/StorageUtils_test 2025-09-07T09:12:05.7861240Z inflating: build/bin/stride_properties_test 2025-09-07T09:12:05.7935315Z inflating: build/bin/tensor_iterator_test 2025-09-07T09:12:05.7986471Z inflating: build/bin/test_parallel 2025-09-07T09:12:05.8034512Z inflating: build/bin/thread_init_test 2025-09-07T09:12:05.8975995Z inflating: build/bin/type_ptr_test 2025-09-07T09:12:05.9034174Z inflating: build/bin/type_test 2025-09-07T09:12:05.9083619Z inflating: build/bin/undefined_tensor_test 2025-09-07T09:12:05.9130763Z inflating: build/bin/verify_api_visibility 2025-09-07T09:12:05.9196380Z inflating: build/bin/legacy_vmap_test 2025-09-07T09:12:05.9245356Z inflating: build/bin/weakref_test 2025-09-07T09:12:05.9293996Z inflating: build/bin/xla_tensor_test 2025-09-07T09:12:05.9342860Z inflating: build/bin/wrapdim_test 2025-09-07T09:12:05.9398926Z inflating: build/bin/IListRef_test 2025-09-07T09:12:05.9511032Z inflating: build/bin/kernel_function_legacy_test 2025-09-07T09:12:05.9610742Z inflating: build/bin/List_test 2025-09-07T09:12:05.9672862Z inflating: build/bin/KernelFunction_test 2025-09-07T09:12:05.9762413Z inflating: build/bin/kernel_function_test 2025-09-07T09:12:05.9880470Z inflating: build/bin/kernel_lambda_legacy_test 2025-09-07T09:12:05.9976291Z inflating: build/bin/kernel_lambda_test 2025-09-07T09:12:06.0033975Z inflating: build/bin/kernel_stackbased_test 2025-09-07T09:12:06.0124205Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-09-07T09:12:06.0172823Z inflating: build/bin/CppSignature_test 2025-09-07T09:12:06.0225003Z inflating: build/bin/backend_fallback_test 2025-09-07T09:12:06.0271095Z inflating: build/bin/op_allowlist_test 2025-09-07T09:12:06.0544982Z inflating: build/bin/op_registration_test 2025-09-07T09:12:06.0607182Z inflating: build/bin/inline_container_test 2025-09-07T09:12:06.0659703Z inflating: build/bin/cuda_allocator_test 2025-09-07T09:12:06.0710070Z inflating: build/bin/cuda_apply_test 2025-09-07T09:12:06.0766471Z inflating: build/bin/cuda_atomic_ops_test 2025-09-07T09:12:06.0820868Z inflating: build/bin/cuda_caching_host_allocator_test 2025-09-07T09:12:06.0886855Z inflating: build/bin/cuda_complex_math_test 2025-09-07T09:12:06.0943025Z inflating: build/bin/cuda_complex_test 2025-09-07T09:12:06.1002105Z inflating: build/bin/cuda_cub_test 2025-09-07T09:12:06.1049232Z inflating: build/bin/cuda_device_test 2025-09-07T09:12:06.1110585Z inflating: build/bin/cuda_distributions_test 2025-09-07T09:12:06.1160566Z inflating: build/bin/cuda_dlconvertor_test 2025-09-07T09:12:06.1208270Z inflating: build/bin/cuda_exchange_device_test 2025-09-07T09:12:06.1258531Z inflating: build/bin/cuda_half_test 2025-09-07T09:12:06.1312337Z inflating: build/bin/cuda_generator_test 2025-09-07T09:12:06.1361283Z inflating: build/bin/cuda_integer_divider_test 2025-09-07T09:12:06.1408628Z inflating: build/bin/cuda_optional_test 2025-09-07T09:12:06.1458123Z inflating: build/bin/cuda_packedtensoraccessor_test 2025-09-07T09:12:06.1507645Z inflating: build/bin/cuda_reportMemoryUsage_test 2025-09-07T09:12:06.1554955Z inflating: build/bin/cuda_allocatorTraceTracker_test 2025-09-07T09:12:06.1612767Z inflating: build/bin/cuda_stream_test 2025-09-07T09:12:06.1660063Z inflating: build/bin/cuda_cudnn_test 2025-09-07T09:12:06.1709371Z inflating: build/bin/cuda_vectorized_test 2025-09-07T09:12:06.2055902Z inflating: build/bin/test_nativert 2025-09-07T09:12:06.2107847Z inflating: build/bin/test_dist_autograd 2025-09-07T09:12:06.2172774Z inflating: build/bin/test_cpp_rpc 2025-09-07T09:12:06.3249981Z inflating: build/bin/test_api 2025-09-07T09:12:06.3252236Z inflating: build/bin/parallel_benchmark 2025-09-07T09:12:06.3314539Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T09:12:06.3374640Z inflating: build/bin/ProcessGroupNCCLTest 2025-09-07T09:12:06.3429352Z inflating: build/bin/ProcessGroupGlooAsyncTest 2025-09-07T09:12:06.3490255Z inflating: build/bin/ProcessGroupNCCLErrorsTest 2025-09-07T09:12:06.4494603Z inflating: build/bin/test_jit 2025-09-07T09:12:06.4817665Z inflating: build/bin/test_lazy 2025-09-07T09:12:06.4821168Z inflating: build/bin/torch_shm_manager 2025-09-07T09:12:06.4822068Z creating: .additional_ci_files/ 2025-09-07T09:12:06.4902152Z inflating: .additional_ci_files/test-times.json 2025-09-07T09:12:06.5210342Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T09:12:06.5435821Z ##[group]Run rm artifacts.zip 2025-09-07T09:12:06.5436099Z rm artifacts.zip 2025-09-07T09:12:06.5451822Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:12:06.5452110Z env: 2025-09-07T09:12:06.5452266Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:12:06.5452514Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:12:06.5452859Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T09:12:06.5453151Z ##[endgroup] 2025-09-07T09:12:06.9743758Z ##[group]Run df -H 2025-09-07T09:12:06.9743964Z df -H 2025-09-07T09:12:06.9758577Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:12:06.9758853Z env: 2025-09-07T09:12:06.9759017Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:12:06.9759274Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:12:06.9759610Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T09:12:06.9759909Z ##[endgroup] 2025-09-07T09:12:07.0702312Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T09:12:07.0702678Z overlay 7.3T 701G 6.6T 10% / 2025-09-07T09:12:07.0702964Z tmpfs 68M 0 68M 0% /dev 2025-09-07T09:12:07.0703273Z shm 68M 0 68M 0% /dev/shm 2025-09-07T09:12:07.0703604Z /dev/root 7.3T 701G 6.6T 10% /home/frank/_work 2025-09-07T09:12:07.0703987Z tmpfs 215G 111k 215G 1% /run/docker.sock 2025-09-07T09:12:07.0704353Z tmpfs 1.1T 13k 1.1T 1% /proc/driver/nvidia 2025-09-07T09:12:07.0705264Z tmpfs 430G 2.9M 430G 1% /run/.ro526724568/nvidia-persistenced/socket 2025-09-07T09:12:07.0705717Z tmpfs 1.1T 0 1.1T 0% /proc/acpi 2025-09-07T09:12:07.0706087Z tmpfs 1.1T 0 1.1T 0% /proc/scsi 2025-09-07T09:12:07.0706392Z tmpfs 1.1T 0 1.1T 0% /sys/firmware 2025-09-07T09:12:07.0736246Z Prepare all required actions 2025-09-07T09:12:07.0736725Z Getting action download info 2025-09-07T09:12:07.3994627Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T09:12:07.3994937Z with: 2025-09-07T09:12:07.3995111Z env: 2025-09-07T09:12:07.3995291Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:12:07.3995576Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:12:07.3995979Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T09:12:07.3996316Z ##[endgroup] 2025-09-07T09:12:07.4055598Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T09:12:07.4055867Z with: 2025-09-07T09:12:07.4056026Z name: td_results 2025-09-07T09:12:07.4056201Z s3-bucket: gha-artifacts 2025-09-07T09:12:07.4056393Z region: us-east-1 2025-09-07T09:12:07.4056549Z env: 2025-09-07T09:12:07.4056701Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:12:07.4056954Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:12:07.4057470Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T09:12:07.4057759Z ##[endgroup] 2025-09-07T09:12:07.8191253Z (node:7908) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T09:12:07.8191684Z 2025-09-07T09:12:07.8191870Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T09:12:07.8192341Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T09:12:07.8192826Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T09:12:07.9002312Z Found 0 objects with prefix pytorch/pytorch/17525296438/td_results/ 2025-09-07T09:12:07.9007381Z Artifact download has finished successfully 2025-09-07T09:12:07.9669564Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T09:12:07.9669865Z mkdir -p .additional_ci_files 2025-09-07T09:12:07.9670187Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T09:12:07.9685741Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:12:07.9686038Z env: 2025-09-07T09:12:07.9686211Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:12:07.9686464Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:12:07.9686789Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T09:12:07.9687067Z ##[endgroup] 2025-09-07T09:12:08.0139242Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T09:12:08.0893802Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T09:12:08.0894136Z .github/scripts/parse_ref.py 2025-09-07T09:12:08.0908492Z shell: /usr/bin/bash -e {0} 2025-09-07T09:12:08.0908728Z env: 2025-09-07T09:12:08.0908889Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:12:08.0909148Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:12:08.0909497Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T09:12:08.0909788Z ##[endgroup] 2025-09-07T09:12:08.2394223Z Setting output branch=main 2025-09-07T09:12:08.2491402Z Prepare all required actions 2025-09-07T09:12:08.2491731Z Getting action download info 2025-09-07T09:12:08.4149431Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T09:12:08.4149793Z with: 2025-09-07T09:12:08.4150205Z github-token: *** 2025-09-07T09:12:08.4156103Z test-matrix: {"include": [{"config": "inductor_huggingface_perf_cuda_h100", "shard": 1, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 2, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 3, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 4, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 5, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 1, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 2, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 3, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 4, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 5, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 6, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 7, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 1, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 2, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 3, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 4, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 5, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 6, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 7, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 8, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 9, "num_shards": 9, "runner": "linux.aws.h100"}]} 2025-09-07T09:12:08.4161747Z job-name: test-weekly / test (inductor_torchbench_perf_cuda_h100, 5, 9, linux.aws.h100) 2025-09-07T09:12:08.4162099Z env: 2025-09-07T09:12:08.4162260Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:12:08.4162516Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:12:08.4162849Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T09:12:08.4163126Z ##[endgroup] 2025-09-07T09:12:08.7187071Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T09:12:08.7187877Z with: 2025-09-07T09:12:08.7188146Z shell: bash 2025-09-07T09:12:08.7188425Z timeout_minutes: 10 2025-09-07T09:12:08.7188745Z max_attempts: 5 2025-09-07T09:12:08.7189049Z retry_wait_seconds: 30 2025-09-07T09:12:08.7190065Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T09:12:08.7191136Z polling_interval_seconds: 1 2025-09-07T09:12:08.7191511Z warning_on_retry: true 2025-09-07T09:12:08.7191850Z continue_on_error: false 2025-09-07T09:12:08.7192179Z env: 2025-09-07T09:12:08.7192452Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:12:08.7192884Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:12:08.7193450Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T09:12:08.7194176Z GITHUB_TOKEN: *** 2025-09-07T09:12:08.7194487Z ##[endgroup] 2025-09-07T09:12:08.7931674Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T09:12:09.0565564Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T09:12:09.6084484Z Collecting requests==2.27.1 2025-09-07T09:12:09.7771236Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T09:12:10.2221453Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.1/63.1 KB 119.6 kB/s eta 0:00:00 2025-09-07T09:12:10.6905788Z Collecting pyyaml==6.0.2 2025-09-07T09:12:10.6938601Z Downloading PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (751 kB) 2025-09-07T09:12:11.1284711Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 751.2/751.2 KB 1.7 MB/s eta 0:00:00 2025-09-07T09:12:11.1396286Z Requirement already satisfied: certifi>=2017.4.17 in /usr/lib/python3/dist-packages (from requests==2.27.1) (2020.6.20) 2025-09-07T09:12:11.1402269Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3/dist-packages (from requests==2.27.1) (1.26.5) 2025-09-07T09:12:11.6966379Z Collecting charset-normalizer~=2.0.0 2025-09-07T09:12:11.6993580Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T09:12:12.0923279Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3/dist-packages (from requests==2.27.1) (3.3) 2025-09-07T09:12:12.1607809Z Installing collected packages: pyyaml, charset-normalizer, requests 2025-09-07T09:12:12.6453247Z WARNING: The script normalizer is installed in '/home/frank/.local/bin' which is not on PATH. 2025-09-07T09:12:12.6454051Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T09:12:13.9013984Z Successfully installed charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T09:12:14.7939558Z Command completed after 1 attempt(s). 2025-09-07T09:12:14.8115445Z ##[group]Run set -x 2025-09-07T09:12:14.8115692Z set -x 2025-09-07T09:12:14.8115874Z  2025-09-07T09:12:14.8116200Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T09:12:14.8116594Z # in runner workspace 2025-09-07T09:12:14.8116906Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T09:12:14.8132652Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:12:14.8132950Z env: 2025-09-07T09:12:14.8133108Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:12:14.8133361Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:12:14.8133709Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T09:12:14.8134001Z ##[endgroup] 2025-09-07T09:12:14.8185723Z + python3 /home/frank/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T09:12:14.8333420Z Setting output branch=main 2025-09-07T09:12:14.9075394Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T09:12:14.9075803Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T09:12:14.9076102Z echo "Job name: ${JOB_NAME}" 2025-09-07T09:12:14.9076387Z  2025-09-07T09:12:14.9076759Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T09:12:14.9077201Z # in runner workspace 2025-09-07T09:12:14.9077816Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T09:12:14.9078248Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T09:12:14.9078498Z  --job-name "${JOB_NAME}" \ 2025-09-07T09:12:14.9083607Z  --test-matrix "{"include": [{"config": "inductor_huggingface_perf_cuda_h100", "shard": 1, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 2, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 3, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 4, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 5, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 1, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 2, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 3, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 4, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 5, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 6, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 7, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 1, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 2, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 3, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 4, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 5, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 6, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 7, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 8, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 9, "num_shards": 9, "runner": "linux.aws.h100"}]}" \ 2025-09-07T09:12:14.9089031Z  --selected-test-configs "" \ 2025-09-07T09:12:14.9089273Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T09:12:14.9089499Z  --tag "${TAG}" \ 2025-09-07T09:12:14.9089719Z  --event-name "${EVENT_NAME}" \ 2025-09-07T09:12:14.9089950Z  --schedule "${SCHEDULE}" \ 2025-09-07T09:12:14.9090176Z  --branch "${HEAD_BRANCH}" 2025-09-07T09:12:14.9104809Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:12:14.9105103Z env: 2025-09-07T09:12:14.9105267Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:12:14.9105514Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:12:14.9105851Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T09:12:14.9106318Z GITHUB_TOKEN: *** 2025-09-07T09:12:14.9106642Z JOB_NAME: test-weekly / test (inductor_torchbench_perf_cuda_h100, 5, 9, linux.aws.h100) 2025-09-07T09:12:14.9106994Z PR_NUMBER: 2025-09-07T09:12:14.9107168Z TAG: 2025-09-07T09:12:14.9107474Z EVENT_NAME: schedule 2025-09-07T09:12:14.9107661Z SCHEDULE: 0 7 * * 0 2025-09-07T09:12:14.9107837Z HEAD_BRANCH: main 2025-09-07T09:12:14.9108002Z ##[endgroup] 2025-09-07T09:12:14.9860499Z Workflow: inductor-perf-nightly-h100 2025-09-07T09:12:14.9860911Z Job name: test-weekly / test (inductor_torchbench_perf_cuda_h100, 5, 9, linux.aws.h100) 2025-09-07T09:12:15.1456799Z Setting output keep-going=True 2025-09-07T09:12:15.1457140Z Setting output ci-verbose-test-logs=False 2025-09-07T09:12:15.1457663Z Setting output ci-test-showlocals=False 2025-09-07T09:12:15.1457996Z Setting output ci-no-test-timeout=False 2025-09-07T09:12:15.1458279Z Setting output ci-no-td=False 2025-09-07T09:12:15.1458564Z Setting output ci-td-distributed=False 2025-09-07T09:12:15.1458855Z Setting output is-unstable=False 2025-09-07T09:12:15.1459127Z Setting output reenabled-issues= 2025-09-07T09:12:15.1465453Z Setting output test-matrix={"include": [{"config": "inductor_huggingface_perf_cuda_h100", "shard": 1, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 2, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 3, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 4, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 5, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 1, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 2, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 3, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 4, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 5, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 6, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 7, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 1, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 2, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 3, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 4, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 5, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 6, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 7, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 8, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 9, "num_shards": 9, "runner": "linux.aws.h100"}]} 2025-09-07T09:12:15.1471379Z Setting output is-test-matrix-empty=False 2025-09-07T09:12:15.1920968Z ##[group]Run echo "Filtered matrix:" 2025-09-07T09:12:15.1921255Z echo "Filtered matrix:" 2025-09-07T09:12:15.1926581Z echo "{"include": [{"config": "inductor_huggingface_perf_cuda_h100", "shard": 1, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 2, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 3, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 4, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 5, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 1, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 2, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 3, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 4, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 5, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 6, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 7, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 1, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 2, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 3, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 4, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 5, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 6, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 7, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 8, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 9, "num_shards": 9, "runner": "linux.aws.h100"}]}" 2025-09-07T09:12:15.1931937Z  2025-09-07T09:12:15.1932095Z echo 2025-09-07T09:12:15.1932307Z echo "Is the current job unstable? False" 2025-09-07T09:12:15.1932547Z  2025-09-07T09:12:15.1932695Z echo 2025-09-07T09:12:15.1932879Z echo "Is keep-going label set? True" 2025-09-07T09:12:15.1933111Z  2025-09-07T09:12:15.1933253Z echo 2025-09-07T09:12:15.1933428Z echo "Reenabled issues? " 2025-09-07T09:12:15.1949389Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:12:15.1949687Z env: 2025-09-07T09:12:15.1949846Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:12:15.1950103Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:12:15.1950438Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T09:12:15.1950736Z ##[endgroup] 2025-09-07T09:12:15.2703207Z Filtered matrix: 2025-09-07T09:12:15.2708919Z {include: [{config: inductor_huggingface_perf_cuda_h100, shard: 1, num_shards: 5, runner: linux.aws.h100}, {config: inductor_huggingface_perf_cuda_h100, shard: 2, num_shards: 5, runner: linux.aws.h100}, {config: inductor_huggingface_perf_cuda_h100, shard: 3, num_shards: 5, runner: linux.aws.h100}, {config: inductor_huggingface_perf_cuda_h100, shard: 4, num_shards: 5, runner: linux.aws.h100}, {config: inductor_huggingface_perf_cuda_h100, shard: 5, num_shards: 5, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 1, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 2, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 3, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 4, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 5, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 6, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 7, num_shards: 7, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 1, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 2, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 3, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 4, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 5, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 6, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 7, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 8, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 9, num_shards: 9, runner: linux.aws.h100}]} 2025-09-07T09:12:15.2714426Z 2025-09-07T09:12:15.2714516Z Is the current job unstable? False 2025-09-07T09:12:15.2714685Z 2025-09-07T09:12:15.2714772Z Is keep-going label set? True 2025-09-07T09:12:15.2714925Z 2025-09-07T09:12:15.2714998Z Reenabled issues? 2025-09-07T09:12:15.3463044Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T09:12:15.3463487Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T09:12:15.3478015Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:12:15.3478296Z env: 2025-09-07T09:12:15.3478465Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:12:15.3478726Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:12:15.3479074Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T09:12:15.3479355Z JOB_TIMEOUT: 1440 2025-09-07T09:12:15.3479530Z ##[endgroup] 2025-09-07T09:12:15.4493327Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:12:15.4493758Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:12:15.4494097Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:12:15.4508802Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:12:15.4509096Z env: 2025-09-07T09:12:15.4509261Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:12:15.4509514Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:12:15.4509841Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T09:12:15.4510126Z ##[endgroup] 2025-09-07T09:12:15.5263140Z ##[group]Run set -x 2025-09-07T09:12:15.5263715Z set -x 2025-09-07T09:12:15.5263925Z  2025-09-07T09:12:15.5264156Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T09:12:15.5264521Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T09:12:15.5264890Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T09:12:15.5265232Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T09:12:15.5265505Z else 2025-09-07T09:12:15.5265739Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T09:12:15.5266024Z fi 2025-09-07T09:12:15.5266209Z  2025-09-07T09:12:15.5266445Z # Leaving 1GB for the runner and other things 2025-09-07T09:12:15.5266987Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T09:12:15.5267979Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T09:12:15.5268647Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T09:12:15.5269144Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T09:12:15.5269464Z  2025-09-07T09:12:15.5269679Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T09:12:15.5269940Z  SHM_OPTS= 2025-09-07T09:12:15.5270120Z  JENKINS_USER= 2025-09-07T09:12:15.5270381Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T09:12:15.5270727Z  # if for some reason cleanup action doesn't stop container 2025-09-07T09:12:15.5271028Z  # when job is cancelled 2025-09-07T09:12:15.5271269Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T09:12:15.5271480Z else 2025-09-07T09:12:15.5271673Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T09:12:15.5271923Z  JENKINS_USER="--user jenkins" 2025-09-07T09:12:15.5272163Z  DOCKER_SHELL_CMD= 2025-09-07T09:12:15.5272357Z fi 2025-09-07T09:12:15.5272516Z  2025-09-07T09:12:15.5272759Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T09:12:15.5273140Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T09:12:15.5273573Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T09:12:15.5273949Z # shellcheck disable=SC2086,SC2090 2025-09-07T09:12:15.5274194Z container_name=$(docker run \ 2025-09-07T09:12:15.5274427Z  ${GPU_FLAG:-} \ 2025-09-07T09:12:15.5274656Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T09:12:15.5274914Z  -e BUILD_ENVIRONMENT \ 2025-09-07T09:12:15.5275134Z  -e PR_NUMBER \ 2025-09-07T09:12:15.5275331Z  -e GITHUB_ACTIONS \ 2025-09-07T09:12:15.5275544Z  -e GITHUB_REPOSITORY \ 2025-09-07T09:12:15.5275762Z  -e GITHUB_WORKFLOW \ 2025-09-07T09:12:15.5275981Z  -e GITHUB_JOB \ 2025-09-07T09:12:15.5276182Z  -e GITHUB_RUN_ID \ 2025-09-07T09:12:15.5276390Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T09:12:15.5276602Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T09:12:15.5276821Z  -e JOB_ID \ 2025-09-07T09:12:15.5277009Z  -e JOB_NAME \ 2025-09-07T09:12:15.5277198Z  -e BASE_SHA \ 2025-09-07T09:12:15.5277525Z  -e BRANCH \ 2025-09-07T09:12:15.5277717Z  -e SHA1 \ 2025-09-07T09:12:15.5277907Z  -e AWS_DEFAULT_REGION \ 2025-09-07T09:12:15.5278122Z  -e IN_WHEEL_TEST \ 2025-09-07T09:12:15.5278314Z  -e SHARD_NUMBER \ 2025-09-07T09:12:15.5278522Z  -e TEST_CONFIG \ 2025-09-07T09:12:15.5278724Z  -e NUM_TEST_SHARDS \ 2025-09-07T09:12:15.5278942Z  -e REENABLED_ISSUES \ 2025-09-07T09:12:15.5279160Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T09:12:15.5279625Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T09:12:15.5279986Z  -e TEST_SHOWLOCALS \ 2025-09-07T09:12:15.5280192Z  -e NO_TEST_TIMEOUT \ 2025-09-07T09:12:15.5280384Z  -e NO_TD \ 2025-09-07T09:12:15.5280575Z  -e TD_DISTRIBUTED \ 2025-09-07T09:12:15.5280782Z  -e PR_LABELS \ 2025-09-07T09:12:15.5281005Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T09:12:15.5281245Z  -e SCCACHE_BUCKET \ 2025-09-07T09:12:15.5281468Z  -e SCCACHE_REGION \ 2025-09-07T09:12:15.5281677Z  -e XLA_CUDA \ 2025-09-07T09:12:15.5281894Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T09:12:15.5282165Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T09:12:15.5282432Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T09:12:15.5282703Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T09:12:15.5282953Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T09:12:15.5283199Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T09:12:15.5283449Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T09:12:15.5283686Z  -e DASHBOARD_TAG \ 2025-09-07T09:12:15.5283896Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T09:12:15.5284157Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T09:12:15.5284454Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T09:12:15.5284755Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T09:12:15.5285041Z  --security-opt seccomp=unconfined \ 2025-09-07T09:12:15.5285295Z  --cap-add=SYS_PTRACE \ 2025-09-07T09:12:15.5285507Z  --ipc=host \ 2025-09-07T09:12:15.5285691Z  ${SHM_OPTS} \ 2025-09-07T09:12:15.5285877Z  --tty \ 2025-09-07T09:12:15.5286051Z  --detach \ 2025-09-07T09:12:15.5286243Z  --name="${container_name}" \ 2025-09-07T09:12:15.5286466Z  ${JENKINS_USER} \ 2025-09-07T09:12:15.5286727Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T09:12:15.5287022Z  -w /var/lib/jenkins/workspace \ 2025-09-07T09:12:15.5287383Z  "${DOCKER_IMAGE}" \ 2025-09-07T09:12:15.5287589Z  ${DOCKER_SHELL_CMD} 2025-09-07T09:12:15.5287786Z ) 2025-09-07T09:12:15.5288012Z # Propagate download.pytorch.org IP to container 2025-09-07T09:12:15.5288519Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T09:12:15.5289028Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T09:12:15.5289314Z  2025-09-07T09:12:15.5289509Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T09:12:15.5289924Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T09:12:15.5290293Z fi 2025-09-07T09:12:15.5290445Z  2025-09-07T09:12:15.5290806Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T09:12:15.5304897Z shell: /usr/bin/bash -e {0} 2025-09-07T09:12:15.5305117Z env: 2025-09-07T09:12:15.5305279Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:12:15.5305530Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:12:15.5305871Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T09:12:15.5306219Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:12:15.5306498Z PR_NUMBER: 2025-09-07T09:12:15.5306674Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T09:12:15.5306939Z GITHUB_WORKFLOW: inductor-perf-nightly-h100 2025-09-07T09:12:15.5307189Z GITHUB_JOB: test 2025-09-07T09:12:15.5307513Z GITHUB_RUN_ID: 17525296438 2025-09-07T09:12:15.5307708Z GITHUB_RUN_NUMBER: 662 2025-09-07T09:12:15.5307904Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T09:12:15.5308090Z JOB_ID: 49775781860 2025-09-07T09:12:15.5308579Z JOB_NAME: test-weekly / test (inductor_torchbench_perf_cuda_h100, 5, 9, linux.aws.h100) 2025-09-07T09:12:15.5309082Z BRANCH: main 2025-09-07T09:12:15.5309268Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:12:15.5309549Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:12:15.5309829Z TEST_CONFIG: inductor_torchbench_perf_cuda_h100 2025-09-07T09:12:15.5310084Z SHARD_NUMBER: 5 2025-09-07T09:12:15.5310256Z NUM_TEST_SHARDS: 9 2025-09-07T09:12:15.5310434Z REENABLED_ISSUES: 2025-09-07T09:12:15.5310611Z CONTINUE_THROUGH_ERROR: True 2025-09-07T09:12:15.5310812Z VERBOSE_TEST_LOGS: False 2025-09-07T09:12:15.5310994Z TEST_SHOWLOCALS: False 2025-09-07T09:12:15.5311178Z NO_TEST_TIMEOUT: False 2025-09-07T09:12:15.5311352Z NO_TD: False 2025-09-07T09:12:15.5311510Z TD_DISTRIBUTED: False 2025-09-07T09:12:15.5311730Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T09:12:15.5311993Z SCCACHE_REGION: us-east-1 2025-09-07T09:12:15.5312181Z SHM_SIZE: 2g 2025-09-07T09:12:15.5312830Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:12:15.5313505Z XLA_CUDA: 2025-09-07T09:12:15.5313756Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T09:12:15.5314083Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T09:12:15.5314315Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T09:12:15.5315217Z 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 2025-09-07T09:12:15.5316283Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T09:12:15.5316587Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T09:12:15.5316893Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T09:12:15.5317410Z ARTIFACTS_FILE_SUFFIX: test-inductor_torchbench_perf_cuda_h100-5-9-linux.aws.h100_49775781860 2025-09-07T09:12:15.5317798Z ##[endgroup] 2025-09-07T09:12:15.5603910Z + [[ inductor_torchbench_perf_cuda_h100 == \m\u\l\t\i\g\p\u ]] 2025-09-07T09:12:15.5604316Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *onnx* ]] 2025-09-07T09:12:15.5604645Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T09:12:15.5607961Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T09:12:15.5619864Z + TOTAL_AVAILABLE_MEMORY_IN_GB='1998.949 ' 2025-09-07T09:12:15.5620167Z + TOTAL_MEMORY_WITH_SWAP=2001 2025-09-07T09:12:15.5620500Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *\s\3\9\0\x* ]] 2025-09-07T09:12:15.5620861Z + SHM_OPTS=--shm-size=2g 2025-09-07T09:12:15.5621108Z + JENKINS_USER='--user jenkins' 2025-09-07T09:12:15.5621359Z + DOCKER_SHELL_CMD= 2025-09-07T09:12:15.5628396Z +++ nproc --ignore=2 2025-09-07T09:12:15.5643308Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e SCCACHE_SERVER_PORT=5232 -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=22 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=1998g --memory-swap=2001g --env-file=/tmp/github_env_17525296438 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --tty --detach --name= --user jenkins -v /home/frank/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:18:27.2664313Z + container_name=442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T09:18:27.2667237Z + grep download.pytorch.org /etc/hosts 2025-09-07T09:18:27.2668889Z + docker exec -i 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T09:18:27.3265188Z + echo DOCKER_CONTAINER_ID=442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T09:18:27.3267021Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *\s\3\9\0\x* ]] 2025-09-07T09:18:27.3269739Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T09:18:27.3272284Z + docker exec -t 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T09:18:27.7332915Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T09:18:28.0279654Z 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) 2025-09-07T09:18:28.0282579Z 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) 2025-09-07T09:18:28.0286100Z 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) 2025-09-07T09:18:28.0290314Z 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) 2025-09-07T09:18:28.0293387Z 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) 2025-09-07T09:18:28.0297139Z 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) 2025-09-07T09:18:28.0309223Z 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) 2025-09-07T09:18:28.0624966Z 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) 2025-09-07T09:18:28.0642103Z 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) 2025-09-07T09:18:28.0673900Z 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) 2025-09-07T09:18:28.8678351Z Installing collected packages: torch 2025-09-07T09:18:39.2882716Z 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. 2025-09-07T09:18:39.2883597Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T09:18:39.2883998Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T09:18:39.2884455Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-09-07T09:18:39.2885014Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T09:18:39.2885686Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T09:18:39.2886351Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T09:18:39.2887683Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T09:18:39.3592857Z + export TERM=vt100 2025-09-07T09:18:39.3593114Z + TERM=vt100 2025-09-07T09:18:39.3596236Z ++ dirname .ci/pytorch/test.sh 2025-09-07T09:18:39.3636520Z + source .ci/pytorch/common.sh 2025-09-07T09:18:39.3641204Z +++ dirname .ci/pytorch/common.sh 2025-09-07T09:18:39.3650175Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T09:18:39.3651194Z +++ declare -f -t trap_add 2025-09-07T09:18:39.3654580Z ++ set -ex -o pipefail 2025-09-07T09:18:39.3655073Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T09:18:39.3655376Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T09:18:39.3659204Z ++ dirname .ci/pytorch/test.sh 2025-09-07T09:18:39.3669145Z + source .ci/pytorch/common-build.sh 2025-09-07T09:18:39.3670649Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *win-* ]] 2025-09-07T09:18:39.3677979Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T09:18:39.3685735Z +++ cd .ci/pytorch 2025-09-07T09:18:39.3686016Z +++ pwd -P 2025-09-07T09:18:39.3688468Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T09:18:39.3688857Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-pch* ]] 2025-09-07T09:18:39.3689142Z ++ which sccache 2025-09-07T09:18:39.3702240Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T09:18:39.3702513Z ++ sccache --stop-server 2025-09-07T09:18:39.3729992Z ++ true 2025-09-07T09:18:39.3730212Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T09:18:39.3739830Z ++ trap_add sccache_epilogue EXIT 2025-09-07T09:18:39.3740062Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T09:18:39.3740272Z ++ shift 2025-09-07T09:18:39.3740442Z ++ for trap_add_name in "$@" 2025-09-07T09:18:39.3748119Z ++++ trap -p EXIT 2025-09-07T09:18:39.3750643Z +++ eval 'extract_trap_cmd ' 2025-09-07T09:18:39.3750891Z ++++ extract_trap_cmd 2025-09-07T09:18:39.3751122Z ++++ printf '%s\n' '' 2025-09-07T09:18:39.3751345Z +++ printf '%s\n' sccache_epilogue 2025-09-07T09:18:39.3753877Z ++ trap -- ' 2025-09-07T09:18:39.3754087Z sccache_epilogue' EXIT 2025-09-07T09:18:39.3754315Z ++ [[ -n 1 ]] 2025-09-07T09:18:39.3754655Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T09:18:39.3755189Z Skipping sccache server initialization, setting environment variables 2025-09-07T09:18:39.3755570Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:18:39.3755824Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:18:39.3756127Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:18:39.3756513Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:18:39.3756854Z ++ export RUST_LOG=sccache::server=error 2025-09-07T09:18:39.3757128Z ++ RUST_LOG=sccache::server=error 2025-09-07T09:18:39.3757558Z ++ sccache --zero-stats 2025-09-07T09:18:39.4699959Z Statistics zeroed. 2025-09-07T09:18:39.4709241Z ++ which ccache 2025-09-07T09:18:39.4723129Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *rocm* ]] 2025-09-07T09:18:39.4723483Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *s390x* ]] 2025-09-07T09:18:39.4723814Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T09:18:39.4726809Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T09:18:39.4738912Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T09:18:39.4739170Z + trap_add cleanup_workspace EXIT 2025-09-07T09:18:39.4739418Z + trap_add_cmd=cleanup_workspace 2025-09-07T09:18:39.4739644Z + shift 2025-09-07T09:18:39.4739813Z + for trap_add_name in "$@" 2025-09-07T09:18:39.4747636Z +++ trap -p EXIT 2025-09-07T09:18:39.4750183Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T09:18:39.4750440Z sccache_epilogue'\'' EXIT' 2025-09-07T09:18:39.4750668Z +++ extract_trap_cmd trap -- ' 2025-09-07T09:18:39.4750885Z sccache_epilogue' EXIT 2025-09-07T09:18:39.4751090Z +++ printf '%s\n' ' 2025-09-07T09:18:39.4751275Z sccache_epilogue' 2025-09-07T09:18:39.4751475Z ++ printf '%s\n' cleanup_workspace 2025-09-07T09:18:39.4753283Z + trap -- ' 2025-09-07T09:18:39.4753492Z sccache_epilogue 2025-09-07T09:18:39.4753695Z cleanup_workspace' EXIT 2025-09-07T09:18:39.4754265Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T09:18:40.3196135Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T09:18:40.3226616Z + echo 'Environment variables:' 2025-09-07T09:18:40.3226964Z Environment variables: 2025-09-07T09:18:40.3227194Z + env 2025-09-07T09:18:40.3236964Z GITHUB_WORKSPACE=/home/frank/_work/pytorch/pytorch 2025-09-07T09:18:40.3237626Z CONTINUE_THROUGH_ERROR=True 2025-09-07T09:18:40.3238015Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:18:40.3240946Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T09:18:40.3241276Z HOSTNAME=442c9c893ab7 2025-09-07T09:18:40.3241764Z GITHUB_PATH=/home/frank/_work/_temp/_runner_file_commands/add_path_8bb8d754-f173-4168-8a39-bec08fc2c261 2025-09-07T09:18:40.3242289Z GITHUB_ACTION=__run_2 2025-09-07T09:18:40.3242537Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T09:18:40.3242828Z GITHUB_RUN_NUMBER=662 2025-09-07T09:18:40.3243096Z TEST_CONFIG=inductor_torchbench_perf_cuda_h100 2025-09-07T09:18:40.3243451Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T09:18:40.3243780Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T09:18:40.3244070Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:18:40.3244451Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T09:18:40.3244727Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T09:18:40.3245013Z GITHUB_REF_TYPE=branch 2025-09-07T09:18:40.3245278Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:18:40.3245592Z XLA_CUDA= 2025-09-07T09:18:40.3245794Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T09:18:40.3246171Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T09:18:40.3246574Z *** 2025-09-07T09:18:40.3246793Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T09:18:40.3247058Z GITHUB_ACTIONS=true 2025-09-07T09:18:40.3247525Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:18:40.3247846Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:18:40.3248222Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:18:40.3248641Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:18:40.3249252Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-h100.yml@refs/heads/main 2025-09-07T09:18:40.3249814Z UCC_HOME=/usr 2025-09-07T09:18:40.3250021Z VERBOSE_TEST_LOGS=False 2025-09-07T09:18:40.3250262Z GITHUB_REF=refs/heads/main 2025-09-07T09:18:40.3250494Z SHARD_NUMBER=5 2025-09-07T09:18:40.3250709Z GITHUB_REF_PROTECTED=true 2025-09-07T09:18:40.3250950Z HOME=/var/lib/jenkins 2025-09-07T09:18:40.3251173Z SCCACHE_SERVER_PORT=5232 2025-09-07T09:18:40.3251438Z GITHUB_API_URL=https://api.github.com 2025-09-07T09:18:40.3251746Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T09:18:40.3252060Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T09:18:40.3252363Z USE_SYSTEM_NCCL=1 2025-09-07T09:18:40.3252574Z NUM_TEST_SHARDS=9 2025-09-07T09:18:40.3252775Z UCX_HOME=/usr 2025-09-07T09:18:40.3253220Z GITHUB_STATE=/home/frank/_work/_temp/_runner_file_commands/save_state_8bb8d754-f173-4168-8a39-bec08fc2c261 2025-09-07T09:18:40.3253906Z JOB_NAME=test-weekly / test (inductor_torchbench_perf_cuda_h100, 5, 9, linux.aws.h100) 2025-09-07T09:18:40.3254568Z GITHUB_ENV=/home/frank/_work/_temp/_runner_file_commands/set_env_8bb8d754-f173-4168-8a39-bec08fc2c261 2025-09-07T09:18:40.3255308Z GITHUB_EVENT_PATH=/home/frank/_work/_temp/_github_workflow/event.json 2025-09-07T09:18:40.3255699Z GITHUB_EVENT_NAME=schedule 2025-09-07T09:18:40.3256871Z 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 2025-09-07T09:18:40.3258205Z GITHUB_RUN_ID=17525296438 2025-09-07T09:18:40.3258438Z INSTALLED_OPENBLAS= 2025-09-07T09:18:40.3258945Z GITHUB_STEP_SUMMARY=/home/frank/_work/_temp/_runner_file_commands/step_summary_8bb8d754-f173-4168-8a39-bec08fc2c261 2025-09-07T09:18:40.3259390Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T09:18:40.3259589Z PR_NUMBER= 2025-09-07T09:18:40.3259740Z DESIRED_CUDA=12.8.1 2025-09-07T09:18:40.3260386Z GITHUB_RUN_ATTEMPT=1 2025-09-07T09:18:40.3260920Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T09:18:40.3261170Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T09:18:40.3261417Z TERM=vt100 2025-09-07T09:18:40.3261571Z INSTALLED_VISION=yes 2025-09-07T09:18:40.3261740Z BRANCH=main 2025-09-07T09:18:40.3261897Z SCCACHE_REGION=us-east-1 2025-09-07T09:18:40.3262093Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T09:18:40.3262296Z CUDA_PATH=/usr/local/cuda 2025-09-07T09:18:40.3262614Z GITHUB_ACTION_PATH=/home/frank/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T09:18:40.3262967Z GITHUB_SERVER_URL=https://github.com 2025-09-07T09:18:40.3263229Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T09:18:40.3263478Z REENABLED_ISSUES= 2025-09-07T09:18:40.3263639Z DOCS= 2025-09-07T09:18:40.3263775Z SHLVL=1 2025-09-07T09:18:40.3263934Z MAX_JOBS=22 2025-09-07T09:18:40.3264092Z GITHUB_ACTOR_ID=97764156 2025-09-07T09:18:40.3264351Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:18:40.3264622Z GITHUB_REF_NAME=main 2025-09-07T09:18:40.3264893Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T09:18:40.3265199Z GITHUB_JOB=test 2025-09-07T09:18:40.3265370Z NO_TEST_TIMEOUT=False 2025-09-07T09:18:40.3265549Z TD_DISTRIBUTED=False 2025-09-07T09:18:40.3265748Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T09:18:40.3265972Z GITHUB_RETENTION_DAYS=90 2025-09-07T09:18:40.3266169Z OPENSSL_DIR=/opt/openssl 2025-09-07T09:18:40.3266360Z GITHUB_ACTION_REPOSITORY= 2025-09-07T09:18:40.3266910Z 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 2025-09-07T09:18:40.3267635Z GITHUB_BASE_REF= 2025-09-07T09:18:40.3267805Z INSTALLED_ACL= 2025-09-07T09:18:40.3268132Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_perf_cuda_h100-5-9-linux.aws.h100_49775781860 2025-09-07T09:18:40.3268500Z CI=true 2025-09-07T09:18:40.3268679Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T09:18:40.3268923Z RUST_LOG=sccache::server=error 2025-09-07T09:18:40.3269119Z JOB_ID=49775781860 2025-09-07T09:18:40.3269281Z GITHUB_HEAD_REF= 2025-09-07T09:18:40.3269451Z GITHUB_ACTION_REF= 2025-09-07T09:18:40.3269660Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T09:18:40.3269919Z TEST_SHOWLOCALS=False 2025-09-07T09:18:40.3270130Z GITHUB_WORKFLOW=inductor-perf-nightly-h100 2025-09-07T09:18:40.3270376Z DEBIAN_FRONTEND=noninteractive 2025-09-07T09:18:40.3270760Z GITHUB_OUTPUT=/home/frank/_work/_temp/_runner_file_commands/set_output_8bb8d754-f173-4168-8a39-bec08fc2c261 2025-09-07T09:18:40.3271156Z NO_TD=False 2025-09-07T09:18:40.3271318Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T09:18:40.3271540Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T09:18:40.3271761Z _=/usr/bin/env 2025-09-07T09:18:40.3271991Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T09:18:40.3513893Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-09-07T09:18:40.3514597Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-09-07T09:18:40.3515237Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-09-07T09:18:40.3515893Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-09-07T09:18:40.3516371Z + BUILD_DIR=build 2025-09-07T09:18:40.3516627Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T09:18:40.3516942Z + BUILD_BIN_DIR=build/bin 2025-09-07T09:18:40.3517217Z + SHARD_NUMBER=5 2025-09-07T09:18:40.3517645Z + NUM_TEST_SHARDS=9 2025-09-07T09:18:40.3517911Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:18:40.3518253Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:18:40.3518572Z + export VALGRIND=ON 2025-09-07T09:18:40.3518839Z + VALGRIND=ON 2025-09-07T09:18:40.3519136Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *clang9* ]] 2025-09-07T09:18:40.3519527Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *xpu* ]] 2025-09-07T09:18:40.3520242Z + detect_cuda_arch 2025-09-07T09:18:40.3520524Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T09:18:40.3521059Z + command -v nvidia-smi 2025-09-07T09:18:40.3521294Z /usr/bin/nvidia-smi 2025-09-07T09:18:40.3525556Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-09-07T09:18:40.3527058Z ++ tail -n 1 2025-09-07T09:18:40.3823807Z + TORCH_CUDA_ARCH_LIST=9.0 2025-09-07T09:18:40.3824083Z + export TORCH_CUDA_ARCH_LIST 2025-09-07T09:18:40.3824406Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *s390x* ]] 2025-09-07T09:18:40.3824734Z + [[ 0 == \1 ]] 2025-09-07T09:18:40.3824932Z + [[ True == \1 ]] 2025-09-07T09:18:40.3825205Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *bazel* ]] 2025-09-07T09:18:40.3829007Z ++ realpath build/custom_test_artifacts 2025-09-07T09:18:40.3838838Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T09:18:40.3839298Z + [[ -n '' ]] 2025-09-07T09:18:40.3839508Z + echo 'Environment variables' 2025-09-07T09:18:40.3839780Z Environment variables 2025-09-07T09:18:40.3840000Z + env 2025-09-07T09:18:40.3847188Z GITHUB_WORKSPACE=/home/frank/_work/pytorch/pytorch 2025-09-07T09:18:40.3847657Z CONTINUE_THROUGH_ERROR=True 2025-09-07T09:18:40.3847996Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:18:40.3848534Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T09:18:40.3848811Z HOSTNAME=442c9c893ab7 2025-09-07T09:18:40.3849278Z GITHUB_PATH=/home/frank/_work/_temp/_runner_file_commands/add_path_8bb8d754-f173-4168-8a39-bec08fc2c261 2025-09-07T09:18:40.3860894Z GITHUB_ACTION=__run_2 2025-09-07T09:18:40.3861173Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T09:18:40.3861447Z GITHUB_RUN_NUMBER=662 2025-09-07T09:18:40.3861699Z TEST_CONFIG=inductor_torchbench_perf_cuda_h100 2025-09-07T09:18:40.3862011Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T09:18:40.3862304Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T09:18:40.3862586Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:18:40.3863017Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T09:18:40.3863299Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T09:18:40.3863590Z GITHUB_REF_TYPE=branch 2025-09-07T09:18:40.3863809Z TORCH_CUDA_ARCH_LIST=9.0 2025-09-07T09:18:40.3864069Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:18:40.3864350Z XLA_CUDA= 2025-09-07T09:18:40.3864547Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T09:18:40.3864899Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T09:18:40.3865339Z *** 2025-09-07T09:18:40.3865524Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T09:18:40.3865780Z GITHUB_ACTIONS=true 2025-09-07T09:18:40.3865998Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:18:40.3866289Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:18:40.3866617Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:18:40.3866934Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:18:40.3867699Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-h100.yml@refs/heads/main 2025-09-07T09:18:40.3868218Z UCC_HOME=/usr 2025-09-07T09:18:40.3868423Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:18:40.3868664Z VERBOSE_TEST_LOGS=False 2025-09-07T09:18:40.3868885Z GITHUB_REF=refs/heads/main 2025-09-07T09:18:40.3869105Z SHARD_NUMBER=5 2025-09-07T09:18:40.3869285Z GITHUB_REF_PROTECTED=true 2025-09-07T09:18:40.3869478Z HOME=/var/lib/jenkins 2025-09-07T09:18:40.3869655Z SCCACHE_SERVER_PORT=5232 2025-09-07T09:18:40.3869884Z GITHUB_API_URL=https://api.github.com 2025-09-07T09:18:40.3870140Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T09:18:40.3870404Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T09:18:40.3870644Z USE_SYSTEM_NCCL=1 2025-09-07T09:18:40.3870811Z NUM_TEST_SHARDS=9 2025-09-07T09:18:40.3870975Z UCX_HOME=/usr 2025-09-07T09:18:40.3871326Z GITHUB_STATE=/home/frank/_work/_temp/_runner_file_commands/save_state_8bb8d754-f173-4168-8a39-bec08fc2c261 2025-09-07T09:18:40.3871853Z JOB_NAME=test-weekly / test (inductor_torchbench_perf_cuda_h100, 5, 9, linux.aws.h100) 2025-09-07T09:18:40.3872657Z GITHUB_ENV=/home/frank/_work/_temp/_runner_file_commands/set_env_8bb8d754-f173-4168-8a39-bec08fc2c261 2025-09-07T09:18:40.3873312Z GITHUB_EVENT_PATH=/home/frank/_work/_temp/_github_workflow/event.json 2025-09-07T09:18:40.3873617Z GITHUB_EVENT_NAME=schedule 2025-09-07T09:18:40.3874494Z 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 2025-09-07T09:18:40.3875386Z GITHUB_RUN_ID=17525296438 2025-09-07T09:18:40.3875574Z INSTALLED_OPENBLAS= 2025-09-07T09:18:40.3875957Z GITHUB_STEP_SUMMARY=/home/frank/_work/_temp/_runner_file_commands/step_summary_8bb8d754-f173-4168-8a39-bec08fc2c261 2025-09-07T09:18:40.3876398Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T09:18:40.3876599Z PR_NUMBER= 2025-09-07T09:18:40.3876764Z DESIRED_CUDA=12.8.1 2025-09-07T09:18:40.3876940Z GITHUB_RUN_ATTEMPT=1 2025-09-07T09:18:40.3877114Z VALGRIND=ON 2025-09-07T09:18:40.3877428Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T09:18:40.3877689Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T09:18:40.3877949Z TERM=vt100 2025-09-07T09:18:40.3878106Z INSTALLED_VISION=yes 2025-09-07T09:18:40.3878279Z BRANCH=main 2025-09-07T09:18:40.3878442Z SCCACHE_REGION=us-east-1 2025-09-07T09:18:40.3878658Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T09:18:40.3878864Z CUDA_PATH=/usr/local/cuda 2025-09-07T09:18:40.3879181Z GITHUB_ACTION_PATH=/home/frank/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T09:18:40.3879548Z GITHUB_SERVER_URL=https://github.com 2025-09-07T09:18:40.3879813Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T09:18:40.3880059Z REENABLED_ISSUES= 2025-09-07T09:18:40.3880215Z DOCS= 2025-09-07T09:18:40.3880359Z SHLVL=1 2025-09-07T09:18:40.3880504Z MAX_JOBS=22 2025-09-07T09:18:40.3880658Z GITHUB_ACTOR_ID=97764156 2025-09-07T09:18:40.3880906Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:18:40.3881180Z GITHUB_REF_NAME=main 2025-09-07T09:18:40.3881459Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T09:18:40.3881760Z GITHUB_JOB=test 2025-09-07T09:18:40.3881930Z NO_TEST_TIMEOUT=False 2025-09-07T09:18:40.3882109Z TD_DISTRIBUTED=False 2025-09-07T09:18:40.3882316Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T09:18:40.3882528Z GITHUB_RETENTION_DAYS=90 2025-09-07T09:18:40.3882718Z OPENSSL_DIR=/opt/openssl 2025-09-07T09:18:40.3882908Z GITHUB_ACTION_REPOSITORY= 2025-09-07T09:18:40.3883465Z 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 2025-09-07T09:18:40.3884025Z GITHUB_BASE_REF= 2025-09-07T09:18:40.3884185Z INSTALLED_ACL= 2025-09-07T09:18:40.3884508Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_perf_cuda_h100-5-9-linux.aws.h100_49775781860 2025-09-07T09:18:40.3884880Z CI=true 2025-09-07T09:18:40.3885045Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T09:18:40.3885276Z RUST_LOG=sccache::server=error 2025-09-07T09:18:40.3885478Z JOB_ID=49775781860 2025-09-07T09:18:40.3885649Z GITHUB_HEAD_REF= 2025-09-07T09:18:40.3885807Z GITHUB_ACTION_REF= 2025-09-07T09:18:40.3886017Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T09:18:40.3886269Z TEST_SHOWLOCALS=False 2025-09-07T09:18:40.3886481Z GITHUB_WORKFLOW=inductor-perf-nightly-h100 2025-09-07T09:18:40.3886722Z DEBIAN_FRONTEND=noninteractive 2025-09-07T09:18:40.3887116Z GITHUB_OUTPUT=/home/frank/_work/_temp/_runner_file_commands/set_output_8bb8d754-f173-4168-8a39-bec08fc2c261 2025-09-07T09:18:40.3887643Z NO_TD=False 2025-09-07T09:18:40.3887816Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T09:18:40.3888040Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T09:18:40.3888256Z _=/usr/bin/env 2025-09-07T09:18:40.3888428Z + echo 'Testing pytorch' 2025-09-07T09:18:40.3888627Z Testing pytorch 2025-09-07T09:18:40.3888799Z + export LANG=C.UTF-8 2025-09-07T09:18:40.3888982Z + LANG=C.UTF-8 2025-09-07T09:18:40.3889141Z + PR_NUMBER= 2025-09-07T09:18:40.3889546Z + [[ inductor_torchbench_perf_cuda_h100 == \d\e\f\a\u\l\t ]] 2025-09-07T09:18:40.3890033Z + [[ inductor_torchbench_perf_cuda_h100 == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T09:18:40.3890360Z + [[ inductor_torchbench_perf_cuda_h100 == \s\l\o\w ]] 2025-09-07T09:18:40.3890687Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *slow-gradcheck* ]] 2025-09-07T09:18:40.3891020Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T09:18:40.3891308Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T09:18:40.3891555Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T09:18:40.3891818Z + [[ inductor_torchbench_perf_cuda_h100 == *crossref* ]] 2025-09-07T09:18:40.3892127Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T09:18:40.3892421Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *xpu* ]] 2025-09-07T09:18:40.3892716Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *-bazel-* ]] 2025-09-07T09:18:40.3892991Z + pip_install ninja==1.10.2 2025-09-07T09:18:40.3893252Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T09:18:40.3893589Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T09:18:40.8052358Z Collecting ninja==1.10.2 2025-09-07T09:18:40.8374641Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T09:18:40.8681864Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T09:18:41.6738761Z Installing collected packages: ninja 2025-09-07T09:18:41.6739250Z Attempting uninstall: ninja 2025-09-07T09:18:41.6746850Z Found existing installation: ninja 1.11.1.3 2025-09-07T09:18:41.6768289Z Uninstalling ninja-1.11.1.3: 2025-09-07T09:18:41.7060635Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T09:18:41.7794477Z Successfully installed ninja-1.10.2 2025-09-07T09:18:41.8462409Z + 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 2025-09-07T09:18:41.8464078Z + 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 2025-09-07T09:18:41.8465135Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *aarch64* ]] 2025-09-07T09:18:41.8465590Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *asan* ]] 2025-09-07T09:18:41.8466021Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-debug* ]] 2025-09-07T09:18:41.8466461Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *-bazel-* ]] 2025-09-07T09:18:41.8467088Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm90. Expect the assertion to pass' 2025-09-07T09:18:41.8468183Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm90. Expect the assertion to pass 2025-09-07T09:18:41.8468704Z + cd test 2025-09-07T09:18:41.8469058Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T09:18:42.3539165Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:18:42.3543123Z import pynvml # type: ignore[import] 2025-09-07T09:18:43.3448863Z + [[ inductor_torchbench_perf_cuda_h100 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T09:18:43.3449525Z + [[ inductor_torchbench_perf_cuda_h100 == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T09:18:43.3450180Z + [[ inductor_torchbench_perf_cuda_h100 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T09:18:43.3452843Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T09:18:43.3453531Z + [[ inductor_torchbench_perf_cuda_h100 == *pr_time_benchmarks* ]] 2025-09-07T09:18:43.3453959Z + [[ inductor_torchbench_perf_cuda_h100 == *dynamo_eager* ]] 2025-09-07T09:18:43.3454328Z + [[ inductor_torchbench_perf_cuda_h100 == *aot_eager* ]] 2025-09-07T09:18:43.3455125Z + [[ inductor_torchbench_perf_cuda_h100 == *aot_inductor* ]] 2025-09-07T09:18:43.3455757Z + [[ inductor_torchbench_perf_cuda_h100 == *max_autotune_inductor* ]] 2025-09-07T09:18:43.3456155Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor* ]] 2025-09-07T09:18:43.3456494Z + [[ inductor_torchbench_perf_cuda_h100 != *perf* ]] 2025-09-07T09:18:43.3456827Z + [[ inductor_torchbench_perf_cuda_h100 == *dynamic* ]] 2025-09-07T09:18:43.3457147Z + [[ inductor_torchbench_perf_cuda_h100 == *cpu* ]] 2025-09-07T09:18:43.3457711Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-09-07T09:18:43.3471405Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *libtorch* ]] 2025-09-07T09:18:43.3471795Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-bazel-* ]] 2025-09-07T09:18:43.3475267Z + cd test 2025-09-07T09:18:43.3475799Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T09:18:43.8371925Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:18:43.8375775Z import pynvml # type: ignore[import] 2025-09-07T09:18:45.3890686Z PyTorch built with: 2025-09-07T09:18:45.3891063Z - GCC 9.5 2025-09-07T09:18:45.3891322Z - C++ Version: 201703 2025-09-07T09:18:45.3891979Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T09:18:45.3892814Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T09:18:45.3893330Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T09:18:45.3893729Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T09:18:45.3894125Z - NNPACK is enabled 2025-09-07T09:18:45.3894442Z - CPU capability usage: AVX2 2025-09-07T09:18:45.3894778Z - CUDA Runtime 12.8 2025-09-07T09:18:45.3895287Z - NVCC architecture flags: -gencode;arch=compute_90,code=sm_90 2025-09-07T09:18:45.3895798Z - CuDNN 90.8 2025-09-07T09:18:45.3902119Z - 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, 2025-09-07T09:18:45.3908167Z 2025-09-07T09:18:46.2638042Z + cd test 2025-09-07T09:18:46.2638410Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T09:18:46.7849103Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:18:46.7850234Z import pynvml # type: ignore[import] 2025-09-07T09:18:47.5409507Z ATen/Parallel: 2025-09-07T09:18:47.5409838Z at::get_num_threads() : 24 2025-09-07T09:18:47.5410127Z at::get_num_interop_threads() : 96 2025-09-07T09:18:47.5410417Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T09:18:47.5411224Z omp_get_max_threads() : 24 2025-09-07T09:18:47.5411966Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T09:18:47.5412419Z mkl_get_max_threads() : 24 2025-09-07T09:18:47.5412706Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T09:18:47.5413039Z std::thread::hardware_concurrency() : 192 2025-09-07T09:18:47.5413273Z Environment variables: 2025-09-07T09:18:47.5413468Z OMP_NUM_THREADS : [not set] 2025-09-07T09:18:47.5413672Z MKL_NUM_THREADS : [not set] 2025-09-07T09:18:47.5413878Z ATen parallel backend: OpenMP 2025-09-07T09:18:47.5414016Z 2025-09-07T09:18:47.8222661Z + [[ inductor_torchbench_perf_cuda_h100 == *numpy_2* ]] 2025-09-07T09:18:47.8223080Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *aarch64* ]] 2025-09-07T09:18:47.8223450Z + [[ inductor_torchbench_perf_cuda_h100 == *backward* ]] 2025-09-07T09:18:47.8223786Z + [[ inductor_torchbench_perf_cuda_h100 == *xla* ]] 2025-09-07T09:18:47.8224127Z + [[ inductor_torchbench_perf_cuda_h100 == *vllm* ]] 2025-09-07T09:18:47.8224482Z + [[ inductor_torchbench_perf_cuda_h100 == *executorch* ]] 2025-09-07T09:18:47.8224859Z + [[ inductor_torchbench_perf_cuda_h100 == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T09:18:47.8225258Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *libtorch* ]] 2025-09-07T09:18:47.8225621Z + [[ inductor_torchbench_perf_cuda_h100 == distributed ]] 2025-09-07T09:18:47.8226005Z + [[ inductor_torchbench_perf_cuda_h100 == *operator_benchmark* ]] 2025-09-07T09:18:47.8226434Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor_distributed* ]] 2025-09-07T09:18:47.8226850Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor-halide* ]] 2025-09-07T09:18:47.8227975Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor-triton-cpu* ]] 2025-09-07T09:18:47.8228488Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor-micro-benchmark* ]] 2025-09-07T09:18:47.8228920Z + [[ inductor_torchbench_perf_cuda_h100 == *huggingface* ]] 2025-09-07T09:18:47.8229270Z + [[ inductor_torchbench_perf_cuda_h100 == *timm* ]] 2025-09-07T09:18:47.8229615Z + [[ inductor_torchbench_perf_cuda_h100 == cachebench ]] 2025-09-07T09:18:47.8229986Z + [[ inductor_torchbench_perf_cuda_h100 == verify_cachebench ]] 2025-09-07T09:18:47.8230369Z + [[ inductor_torchbench_perf_cuda_h100 == *torchbench* ]] 2025-09-07T09:18:47.8230674Z + install_torchaudio 2025-09-07T09:18:47.8230878Z + local commit 2025-09-07T09:18:47.8231077Z ++ get_pinned_commit audio 2025-09-07T09:18:47.8231320Z ++ cat .github/ci_commit_pins/audio.txt 2025-09-07T09:18:47.8242653Z + commit=2e300559e4e123928a22187b8f59a5b56f57ddc8 2025-09-07T09:18:47.8243246Z + pip_build_and_install git+https://github.com/pytorch/audio.git@2e300559e4e123928a22187b8f59a5b56f57ddc8 dist/audio 2025-09-07T09:18:47.8243965Z + local build_target=git+https://github.com/pytorch/audio.git@2e300559e4e123928a22187b8f59a5b56f57ddc8 2025-09-07T09:18:47.8244424Z + local wheel_dir=dist/audio 2025-09-07T09:18:47.8244644Z + local found_whl=0 2025-09-07T09:18:47.8244856Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:18:47.8245235Z + [[ -f dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T09:18:47.8245591Z + found_whl=1 2025-09-07T09:18:47.8245761Z + break 2025-09-07T09:18:47.8245912Z + '[' 1 == 0 ']' 2025-09-07T09:18:47.8246101Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:18:47.8246478Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T09:18:47.8246984Z + args=('dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl') 2025-09-07T09:18:47.8247486Z + local args 2025-09-07T09:18:47.8247793Z + [[ dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T09:18:47.8248172Z + for path in "${args[@]}" 2025-09-07T09:18:47.8248534Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl' 2025-09-07T09:18:47.8249054Z Installing dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T09:18:47.8250054Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T09:18:48.1650022Z Processing ./dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T09:18:48.1710509Z Installing collected packages: torchaudio 2025-09-07T09:18:48.9000621Z Successfully installed torchaudio-2.8.0a0+2e30055 2025-09-07T09:18:48.9314481Z + install_torchvision 2025-09-07T09:18:48.9314883Z + local orig_preload 2025-09-07T09:18:48.9315240Z + local commit 2025-09-07T09:18:48.9321133Z ++ get_pinned_commit vision 2025-09-07T09:18:48.9321631Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T09:18:48.9335603Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T09:18:48.9335878Z + orig_preload= 2025-09-07T09:18:48.9336081Z + '[' -n '' ']' 2025-09-07T09:18:48.9336318Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T09:18:48.9336614Z + export FORCE_CUDA=1 2025-09-07T09:18:48.9336805Z + FORCE_CUDA=1 2025-09-07T09:18:48.9337011Z + export WITH_CUDA=1 2025-09-07T09:18:48.9337214Z + WITH_CUDA=1 2025-09-07T09:18:48.9338052Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T09:18:48.9338768Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T09:18:48.9339220Z + local wheel_dir=dist/vision 2025-09-07T09:18:48.9339437Z + local found_whl=0 2025-09-07T09:18:48.9339635Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:18:48.9340000Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T09:18:48.9340357Z + found_whl=1 2025-09-07T09:18:48.9340524Z + break 2025-09-07T09:18:48.9340692Z + '[' 1 == 0 ']' 2025-09-07T09:18:48.9340892Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:18:48.9341302Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:18:48.9341877Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl') 2025-09-07T09:18:48.9342270Z + local args 2025-09-07T09:18:48.9342607Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T09:18:48.9343024Z + for path in "${args[@]}" 2025-09-07T09:18:48.9343424Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl' 2025-09-07T09:18:48.9344011Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:18:48.9344682Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:18:49.2742353Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:18:49.2828828Z Installing collected packages: torchvision 2025-09-07T09:18:49.7284022Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T09:18:49.7644365Z + '[' -n '' ']' 2025-09-07T09:18:49.7644784Z + id=4 2025-09-07T09:18:49.7645016Z + pip_install opencv-python==4.8.0.74 2025-09-07T09:18:49.7645394Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T09:18:49.7645820Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74 2025-09-07T09:18:50.2262275Z Collecting opencv-python==4.8.0.74 2025-09-07T09:18:50.2585771Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) 2025-09-07T09:18:50.2760268Z Requirement already satisfied: numpy>=1.21.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opencv-python==4.8.0.74) (1.22.4) 2025-09-07T09:18:50.2883957Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB) 2025-09-07T09:18:51.4724112Z Installing collected packages: opencv-python 2025-09-07T09:18:51.4724518Z Attempting uninstall: opencv-python 2025-09-07T09:18:51.4735372Z Found existing installation: opencv-python 4.11.0.86 2025-09-07T09:18:51.4822095Z Uninstalling opencv-python-4.11.0.86: 2025-09-07T09:18:51.6590175Z Successfully uninstalled opencv-python-4.11.0.86 2025-09-07T09:18:52.5770018Z Successfully installed opencv-python-4.8.0.74 2025-09-07T09:18:52.6668091Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor_torchbench_smoketest_perf* ]] 2025-09-07T09:18:52.6668659Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor_torchbench_cpu_smoketest_perf* ]] 2025-09-07T09:18:52.6669170Z + [[ inductor_torchbench_perf_cuda_h100 == *torchbench_gcp_smoketest* ]] 2025-09-07T09:18:52.6669572Z + [[ inductor_torchbench_perf_cuda_h100 != *cpu* ]] 2025-09-07T09:18:52.6669869Z + install_torchrec_and_fbgemm 2025-09-07T09:18:52.6670108Z + local torchrec_commit 2025-09-07T09:18:52.6672108Z ++ get_pinned_commit torchrec 2025-09-07T09:18:52.6672377Z ++ cat .github/ci_commit_pins/torchrec.txt 2025-09-07T09:18:52.6685585Z + torchrec_commit=6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-09-07T09:18:52.6685884Z + local fbgemm_commit 2025-09-07T09:18:52.6688957Z ++ get_pinned_commit fbgemm 2025-09-07T09:18:52.6689221Z ++ cat .github/ci_commit_pins/fbgemm.txt 2025-09-07T09:18:52.6700391Z + fbgemm_commit=de731af65b4f04696e85c729e3282450b51b95fd 2025-09-07T09:18:52.6700723Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T09:18:52.6701000Z + pip_uninstall torchrec-nightly 2025-09-07T09:18:52.6701240Z + pip3 uninstall -y torchrec-nightly 2025-09-07T09:18:53.0176275Z WARNING: Skipping torchrec-nightly as it is not installed. 2025-09-07T09:18:53.0528823Z + pip_uninstall fbgemm-gpu-nightly 2025-09-07T09:18:53.0529199Z + pip3 uninstall -y fbgemm-gpu-nightly 2025-09-07T09:18:53.4034423Z WARNING: Skipping fbgemm-gpu-nightly as it is not installed. 2025-09-07T09:18:53.4387998Z + pip_install setuptools-git-versioning scikit-build pyre-extensions 2025-09-07T09:18:53.4388484Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T09:18:53.4389010Z + python3 -m pip install --progress-bar off setuptools-git-versioning scikit-build pyre-extensions 2025-09-07T09:18:53.7816381Z Requirement already satisfied: setuptools-git-versioning in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.1.0) 2025-09-07T09:18:53.7818676Z Requirement already satisfied: scikit-build in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.18.1) 2025-09-07T09:18:53.7821062Z Requirement already satisfied: pyre-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.0.32) 2025-09-07T09:18:53.7832392Z Requirement already satisfied: packaging in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (25.0) 2025-09-07T09:18:53.7835461Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (80.9.0) 2025-09-07T09:18:53.7841745Z Requirement already satisfied: tomli>=2.0.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (2.2.1) 2025-09-07T09:18:53.7883197Z Requirement already satisfied: distro in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from scikit-build) (1.9.0) 2025-09-07T09:18:53.7891513Z Requirement already satisfied: wheel>=0.32.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from scikit-build) (0.45.1) 2025-09-07T09:18:53.7898580Z Requirement already satisfied: typing-inspect in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (0.9.0) 2025-09-07T09:18:53.7901552Z Requirement already satisfied: typing-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (4.15.0) 2025-09-07T09:18:53.7977914Z Requirement already satisfied: mypy-extensions>=0.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from typing-inspect->pyre-extensions) (1.1.0) 2025-09-07T09:18:54.6953172Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T09:18:54.6954070Z + pip_build_and_install git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 dist/torchrec 2025-09-07T09:18:54.6955559Z + local build_target=git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-09-07T09:18:54.6956376Z + local wheel_dir=dist/torchrec 2025-09-07T09:18:54.6956631Z + local found_whl=0 2025-09-07T09:18:54.6956865Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:18:54.6957202Z + [[ -f dist/torchrec/torchrec-0.3.2-py3-none-any.whl ]] 2025-09-07T09:18:54.6957728Z + found_whl=1 2025-09-07T09:18:54.6957924Z + break 2025-09-07T09:18:54.6958100Z + '[' 1 == 0 ']' 2025-09-07T09:18:54.6958324Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:18:54.6958679Z + pip_install_whl dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T09:18:54.6959117Z + args=('dist/torchrec/torchrec-0.3.2-py3-none-any.whl') 2025-09-07T09:18:54.6959434Z + local args 2025-09-07T09:18:54.6959715Z + [[ dist/torchrec/torchrec-0.3.2-py3-none-any.whl == *\ * ]] 2025-09-07T09:18:54.6960069Z + for path in "${args[@]}" 2025-09-07T09:18:54.6960406Z + echo 'Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl' 2025-09-07T09:18:54.6960848Z Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T09:18:54.6961375Z + python3 -mpip install --no-index --no-deps dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T09:18:55.0391141Z Processing ./dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T09:18:55.0451396Z Installing collected packages: torchrec 2025-09-07T09:18:55.3284572Z Successfully installed torchrec-0.3.2 2025-09-07T09:18:55.3610823Z + pip_build_and_install git+https://github.com/pytorch/FBGEMM.git@de731af65b4f04696e85c729e3282450b51b95fd#subdirectory=fbgemm_gpu dist/fbgemm_gpu 2025-09-07T09:18:55.3611886Z + local build_target=git+https://github.com/pytorch/FBGEMM.git@de731af65b4f04696e85c729e3282450b51b95fd#subdirectory=fbgemm_gpu 2025-09-07T09:18:55.3612514Z + local wheel_dir=dist/fbgemm_gpu 2025-09-07T09:18:55.3612774Z + local found_whl=0 2025-09-07T09:18:55.3613004Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:18:55.3613413Z + [[ -f dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T09:18:55.3613813Z + found_whl=1 2025-09-07T09:18:55.3614031Z + break 2025-09-07T09:18:55.3614229Z + '[' 1 == 0 ']' 2025-09-07T09:18:55.3614444Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:18:55.3614972Z + pip_install_whl dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T09:18:55.3615538Z + args=('dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl') 2025-09-07T09:18:55.3615926Z + local args 2025-09-07T09:18:55.3616269Z + [[ dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T09:18:55.3616685Z + for path in "${args[@]}" 2025-09-07T09:18:55.3617098Z + echo 'Installing dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl' 2025-09-07T09:18:55.3618070Z Installing dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T09:18:55.3618738Z + python3 -mpip install --no-index --no-deps dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T09:18:55.7019453Z Processing ./dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T09:18:55.7893341Z Installing collected packages: fbgemm-gpu 2025-09-07T09:18:57.5845963Z Successfully installed fbgemm-gpu-0.4.1.post421 2025-09-07T09:18:57.6175918Z + PYTHONPATH=/torchbench 2025-09-07T09:18:57.6176231Z + test_dynamo_benchmark torchbench 4 2025-09-07T09:18:57.6183248Z ++ pwd 2025-09-07T09:18:57.6186224Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:18:57.6186613Z + local suite=torchbench 2025-09-07T09:18:57.6186837Z + shift 2025-09-07T09:18:57.6187023Z + local shard_id=4 2025-09-07T09:18:57.6187227Z + shift 2025-09-07T09:18:57.6187820Z + [[ inductor_torchbench_perf_cuda_h100 == *perf_compare* ]] 2025-09-07T09:18:57.6188203Z + [[ inductor_torchbench_perf_cuda_h100 == *perf* ]] 2025-09-07T09:18:57.6188541Z + [[ inductor_torchbench_perf_cuda_h100 == *b200* ]] 2025-09-07T09:18:57.6188874Z + test_single_dynamo_benchmark dashboard torchbench 4 2025-09-07T09:18:57.6191217Z ++ pwd 2025-09-07T09:18:57.6193799Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:18:57.6194453Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:18:57.6212747Z + local name=dashboard 2025-09-07T09:18:57.6212952Z + shift 2025-09-07T09:18:57.6213123Z + local suite=torchbench 2025-09-07T09:18:57.6213317Z + shift 2025-09-07T09:18:57.6213470Z + local shard_id=4 2025-09-07T09:18:57.6213650Z + shift 2025-09-07T09:18:57.6213812Z + partition_flags=() 2025-09-07T09:18:57.6214043Z + local partition_flags 2025-09-07T09:18:57.6214278Z + [[ -n 9 ]] 2025-09-07T09:18:57.6214492Z + [[ -n 4 ]] 2025-09-07T09:18:57.6214986Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T09:18:57.6215503Z + [[ inductor_torchbench_perf_cuda_h100 == *perf_compare* ]] 2025-09-07T09:18:57.6215872Z + [[ inductor_torchbench_perf_cuda_h100 == *perf* ]] 2025-09-07T09:18:57.6216348Z + test_perf_for_dashboard torchbench --device cuda --total-partitions 9 --partition-id 4 2025-09-07T09:18:57.6218163Z ++ pwd 2025-09-07T09:18:57.6220032Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:18:57.6220469Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:18:57.6234730Z + local suite=torchbench 2025-09-07T09:18:57.6235123Z + shift 2025-09-07T09:18:57.6235347Z + local backend=inductor 2025-09-07T09:18:57.6235596Z + modes=() 2025-09-07T09:18:57.6235777Z + local modes 2025-09-07T09:18:57.6236909Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *training-true* ]] 2025-09-07T09:18:57.6238274Z + modes+=(training) 2025-09-07T09:18:57.6239392Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *inference-true* ]] 2025-09-07T09:18:57.6240553Z + modes+=(inference) 2025-09-07T09:18:57.6240806Z + targets=('accuracy' 'performance') 2025-09-07T09:18:57.6241070Z + local targets 2025-09-07T09:18:57.6241274Z + local device=cuda 2025-09-07T09:18:57.6241525Z + [[ inductor_torchbench_perf_cuda_h100 == *cpu* ]] 2025-09-07T09:18:57.6241893Z + [[ inductor_torchbench_perf_cuda_h100 == *cuda_a10g* ]] 2025-09-07T09:18:57.6242262Z + [[ inductor_torchbench_perf_cuda_h100 == *h100* ]] 2025-09-07T09:18:57.6242573Z + device=cuda_h100 2025-09-07T09:18:57.6242795Z + for mode in "${modes[@]}" 2025-09-07T09:18:57.6243055Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:18:57.6243328Z + [[ training == \t\r\a\i\n\i\n\g ]] 2025-09-07T09:18:57.6243588Z + dtype=amp 2025-09-07T09:18:57.6243800Z + for target in "${targets[@]}" 2025-09-07T09:18:57.6244078Z + target_flag=('--accuracy') 2025-09-07T09:18:57.6244339Z + local target_flag 2025-09-07T09:18:57.6244541Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T09:18:57.6244797Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T09:18:57.6245056Z + target_flag+=(--no-translation-validation) 2025-09-07T09:18:57.6246136Z + [[ 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* ]] 2025-09-07T09:18:57.6248131Z + [[ 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* ]] 2025-09-07T09:18:57.6250123Z + python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 9 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.csv 2025-09-07T09:18:58.1526548Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:18:58.1528264Z import pynvml # type: ignore[import] 2025-09-07T09:19:01.9923442Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:19:01.9924671Z import pynvml # type: ignore[import] 2025-09-07T09:19:04.4341024Z 2025-09-07T09:19:05.2089005Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:19:05.2089242Z 2025-09-07T09:19:05.2091514Z config.json: 0% 0.00/1.21k [00:00 will be ignored 2025-09-07T09:21:16.9918309Z pass 2025-09-07T09:21:22.3739954Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:21:22.3741160Z import pynvml # type: ignore[import] 2025-09-07T09:21:24.8581616Z 2025-09-07T09:21:25.6167741Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:21:25.6168100Z 2025-09-07T09:21:25.6170952Z config.json: 0% 0.00/1.21k [00:00 will be ignored 2025-09-07T09:22:06.5687759Z pass 2025-09-07T09:22:10.3513071Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:22:10.3515110Z import pynvml # type: ignore[import] 2025-09-07T09:22:12.9349155Z 2025-09-07T09:22:13.3754785Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:22:13.3755181Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:22:13.3755548Z cuda train hf_distil_whisper 2025-09-07T09:22:13.3761575Z Traceback (most recent call last): 2025-09-07T09:22:13.3762055Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T09:22:13.3762524Z ) = runner.load_model( 2025-09-07T09:22:13.3762981Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 325, in load_model 2025-09-07T09:22:13.3763468Z benchmark = benchmark_cls( 2025-09-07T09:22:13.3763841Z File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__ 2025-09-07T09:22:13.3764287Z obj = type.__call__(cls, *args, **kwargs) 2025-09-07T09:22:13.3764787Z File "/torchbench/torchbenchmark/models/hf_distil_whisper/__init__.py", line 13, in __init__ 2025-09-07T09:22:13.3765418Z raise NotImplementedError("Training is not implemented.") 2025-09-07T09:22:13.3765788Z NotImplementedError: Training is not implemented. 2025-09-07T09:22:13.3765995Z 2025-09-07T09:22:13.3766074Z model_fail_to_load 2025-09-07T09:22:14.8872466Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:22:14.8874129Z import pynvml # type: ignore[import] 2025-09-07T09:22:17.6476403Z 2025-09-07T09:22:18.2936560Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:22:18.2936924Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:22:18.2937420Z cuda train lennard_jones 2025-09-07T09:22:25.1416736Z W0907 09:22:25.140000 3272 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:22:27.9736088Z pass 2025-09-07T09:22:30.6265401Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:22:30.6267220Z import pynvml # type: ignore[import] 2025-09-07T09:22:33.0850166Z 2025-09-07T09:22:33.8178366Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:22:33.8178732Z 2025-09-07T09:22:33.8179685Z config.json: 0.00B [00:00, ?B/s] 2025-09-07T09:22:33.8180113Z config.json: 1.16kB [00:00, 7.85MB/s] 2025-09-07T09:23:43.5932874Z 2025-09-07T09:23:43.5933321Z loading model: 0it [01:10, ?it/s] 2025-09-07T09:23:43.5933760Z cuda train llava 2025-09-07T09:23:43.5952858Z Traceback (most recent call last): 2025-09-07T09:23:43.5953361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T09:23:43.5953842Z self.model_iter_fn(model, example_inputs) 2025-09-07T09:23:43.5954360Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 489, in forward_and_backward_pass 2025-09-07T09:23:43.5954838Z pred = mod(**cloned_inputs) 2025-09-07T09:23:43.5955323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:23:43.5955842Z return self._call_impl(*args, **kwargs) 2025-09-07T09:23:43.5956332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:23:43.5956796Z return forward_call(*args, **kwargs) 2025-09-07T09:23:43.6282015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T09:23:43.6283275Z output = func(self, *args, **kwargs) 2025-09-07T09:23:43.6283927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llava/modeling_llava.py", line 436, in forward 2025-09-07T09:23:43.6284535Z outputs = self.model( 2025-09-07T09:23:43.6285086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:23:43.6285678Z return self._call_impl(*args, **kwargs) 2025-09-07T09:23:43.6286226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:23:43.6286772Z return forward_call(*args, **kwargs) 2025-09-07T09:23:43.6287551Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T09:23:43.6288104Z output = func(self, *args, **kwargs) 2025-09-07T09:23:43.6288702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llava/modeling_llava.py", line 289, in forward 2025-09-07T09:23:43.6289336Z outputs = self.language_model( 2025-09-07T09:23:43.6289884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:23:43.6290460Z return self._call_impl(*args, **kwargs) 2025-09-07T09:23:43.6290992Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:23:43.6291527Z return forward_call(*args, **kwargs) 2025-09-07T09:23:43.6292049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T09:23:43.6292580Z outputs = func(self, *args, **kwargs) 2025-09-07T09:23:43.6293217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 390, in forward 2025-09-07T09:23:43.6293778Z hidden_states = decoder_layer( 2025-09-07T09:23:43.6294218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:23:43.6294668Z return super().__call__(*args, **kwargs) 2025-09-07T09:23:43.6295238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:23:43.6295717Z return self._call_impl(*args, **kwargs) 2025-09-07T09:23:43.6296156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:23:43.6296596Z return forward_call(*args, **kwargs) 2025-09-07T09:23:43.6297084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward 2025-09-07T09:23:43.6297705Z hidden_states, _ = self.self_attn( 2025-09-07T09:23:43.6298171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:23:43.6298641Z return self._call_impl(*args, **kwargs) 2025-09-07T09:23:43.6299085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:23:43.6299521Z return forward_call(*args, **kwargs) 2025-09-07T09:23:43.6299994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward 2025-09-07T09:23:43.6300588Z query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin) 2025-09-07T09:23:43.6301231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb 2025-09-07T09:23:43.6301776Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T09:23:43.6303630Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 79.10 GiB of which 29.88 MiB is free. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 78.42 GiB is allocated by PyTorch, and 11.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-09-07T09:23:43.6305381Z 2025-09-07T09:23:43.6305537Z The above exception was the direct cause of the following exception: 2025-09-07T09:23:43.6305766Z 2025-09-07T09:23:43.6305850Z Traceback (most recent call last): 2025-09-07T09:23:43.6306198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T09:23:43.6306541Z ) = runner.load_model( 2025-09-07T09:23:43.6306891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T09:23:43.6307440Z self.validate_model(model, example_inputs) 2025-09-07T09:23:43.6307840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T09:23:43.6308242Z raise RuntimeError("Eager run failed") from e 2025-09-07T09:23:43.6308492Z RuntimeError: Eager run failed 2025-09-07T09:23:43.6308630Z 2025-09-07T09:23:43.6308697Z eager_fail_to_run 2025-09-07T09:23:45.2122510Z accuracy pass_rate=57.14% 2025-09-07T09:23:45.2129603Z calls_captured gmean=0.00x mean=612.286x 2025-09-07T09:23:45.2133952Z unique_graphs gmean=0.00x mean=1.571x 2025-09-07T09:23:45.2136442Z graph_breaks gmean=0.00x mean=3.429x 2025-09-07T09:23:45.2140522Z unique_graph_breaks gmean=0.00x mean=2.857x 2025-09-07T09:23:45.2143701Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:23:45.2146831Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:23:45.2150204Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:23:45.2151072Z compilation_latency mean=20.896 seconds 2025-09-07T09:23:46.1290900Z + [[ 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* ]] 2025-09-07T09:23:46.1294010Z + python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 9 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.csv 2025-09-07T09:23:46.6697512Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:23:46.6698761Z import pynvml # type: ignore[import] 2025-09-07T09:23:50.7685121Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:23:50.7686858Z import pynvml # type: ignore[import] 2025-09-07T09:23:53.4622967Z 2025-09-07T09:23:56.9358841Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:23:56.9359205Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:23:56.9359519Z cuda train hf_T5 2025-09-07T09:24:26.5291647Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 489, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-09-07T09:24:26.5292648Z pred = mod(**cloned_inputs) 2025-09-07T09:24:26.5293635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward 2025-09-07T09:24:26.5294182Z decoder_outputs = self.decoder( 2025-09-07T09:24:26.5295001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward 2025-09-07T09:24:26.5295527Z layer_outputs = layer_module( 2025-09-07T09:24:26.5296004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:24:26.5296505Z return super().__call__(*args, **kwargs) 2025-09-07T09:24:26.5297017Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward 2025-09-07T09:24:26.5298043Z self_attention_outputs = self.layer[0]( 2025-09-07T09:24:26.5298544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward 2025-09-07T09:24:26.5299050Z attention_output = self.SelfAttention( 2025-09-07T09:24:26.5299543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 539, in forward 2025-09-07T09:24:26.5300031Z position_bias = self.compute_bias( 2025-09-07T09:24:26.5300520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 463, in compute_bias 2025-09-07T09:24:26.5301217Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T09:24:26.5301588Z 2025-09-07T09:24:26.5301592Z 2025-09-07T09:24:27.3348583Z pass 2025-09-07T09:24:31.0311631Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:24:31.0312791Z import pynvml # type: ignore[import] 2025-09-07T09:24:33.6253099Z 2025-09-07T09:24:38.8935149Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:24:38.8935559Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:24:38.8935885Z cuda train hf_T5_base 2025-09-07T09:25:31.9424236Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 489, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-09-07T09:25:31.9427181Z pred = mod(**cloned_inputs) 2025-09-07T09:25:31.9428368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward 2025-09-07T09:25:31.9429204Z decoder_outputs = self.decoder( 2025-09-07T09:25:31.9430003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward 2025-09-07T09:25:31.9430834Z layer_outputs = layer_module( 2025-09-07T09:25:31.9431593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:25:31.9432386Z return super().__call__(*args, **kwargs) 2025-09-07T09:25:31.9433192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward 2025-09-07T09:25:31.9434001Z self_attention_outputs = self.layer[0]( 2025-09-07T09:25:31.9434814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward 2025-09-07T09:25:31.9435638Z attention_output = self.SelfAttention( 2025-09-07T09:25:31.9436445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 539, in forward 2025-09-07T09:25:31.9437460Z position_bias = self.compute_bias( 2025-09-07T09:25:31.9438292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 463, in compute_bias 2025-09-07T09:25:31.9439885Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T09:25:31.9440758Z 2025-09-07T09:25:31.9440763Z 2025-09-07T09:25:32.8953882Z W0907 09:25:32.894000 4031 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-09-07T09:26:07.3009259Z pass 2025-09-07T09:26:13.0161181Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:26:13.0162664Z import pynvml # type: ignore[import] 2025-09-07T09:26:15.7867944Z 2025-09-07T09:26:26.1278434Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:26:26.1278963Z loading model: 0it [00:10, ?it/s] 2025-09-07T09:26:26.1279422Z cuda train hf_T5_large 2025-09-07T09:26:26.3822731Z pass_due_to_skip 2025-09-07T09:26:28.4900424Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:26:28.4902328Z import pynvml # type: ignore[import] 2025-09-07T09:26:31.1557150Z 2025-09-07T09:26:33.9619493Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:26:33.9619861Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:26:33.9620176Z cuda train hf_Whisper 2025-09-07T09:26:47.7781620Z W0907 09:26:47.777000 4366 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-09-07T09:26:56.2601274Z pass 2025-09-07T09:26:59.8582633Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:26:59.8584437Z import pynvml # type: ignore[import] 2025-09-07T09:27:02.3650536Z 2025-09-07T09:27:02.7838690Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:27:02.7839049Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:27:02.7839358Z cuda train hf_distil_whisper 2025-09-07T09:27:02.7844501Z Traceback (most recent call last): 2025-09-07T09:27:02.7844956Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T09:27:02.7845441Z ) = runner.load_model( 2025-09-07T09:27:02.7845939Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 325, in load_model 2025-09-07T09:27:02.7846361Z benchmark = benchmark_cls( 2025-09-07T09:27:02.7846682Z File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__ 2025-09-07T09:27:02.7847033Z obj = type.__call__(cls, *args, **kwargs) 2025-09-07T09:27:02.7847810Z File "/torchbench/torchbenchmark/models/hf_distil_whisper/__init__.py", line 13, in __init__ 2025-09-07T09:27:02.7848309Z raise NotImplementedError("Training is not implemented.") 2025-09-07T09:27:02.7848650Z NotImplementedError: Training is not implemented. 2025-09-07T09:27:02.7848846Z 2025-09-07T09:27:02.7848921Z model_fail_to_load 2025-09-07T09:27:04.2880060Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:27:04.2881310Z import pynvml # type: ignore[import] 2025-09-07T09:27:06.7490600Z 2025-09-07T09:27:07.4020000Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:27:07.4020355Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:27:07.4020637Z cuda train lennard_jones 2025-09-07T09:27:10.7465379Z W0907 09:27:10.745000 4677 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:27:12.5219713Z pass 2025-09-07T09:27:15.4235445Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:27:15.4236700Z import pynvml # type: ignore[import] 2025-09-07T09:27:17.9024525Z 2025-09-07T09:28:27.7980892Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:28:27.7981439Z loading model: 0it [01:09, ?it/s] 2025-09-07T09:28:27.7981946Z cuda train llava 2025-09-07T09:28:27.8002152Z Traceback (most recent call last): 2025-09-07T09:28:27.8002694Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T09:28:27.8003198Z self.model_iter_fn(model, example_inputs) 2025-09-07T09:28:27.8003725Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 489, in forward_and_backward_pass 2025-09-07T09:28:27.8004246Z pred = mod(**cloned_inputs) 2025-09-07T09:28:27.8004761Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:28:27.8005309Z return self._call_impl(*args, **kwargs) 2025-09-07T09:28:27.8005831Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:28:27.8006320Z return forward_call(*args, **kwargs) 2025-09-07T09:28:27.8006800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T09:28:27.8007476Z output = func(self, *args, **kwargs) 2025-09-07T09:28:27.8008033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llava/modeling_llava.py", line 436, in forward 2025-09-07T09:28:27.8008585Z outputs = self.model( 2025-09-07T09:28:27.8009061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:28:27.8009584Z return self._call_impl(*args, **kwargs) 2025-09-07T09:28:27.8010062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:28:27.8010548Z return forward_call(*args, **kwargs) 2025-09-07T09:28:27.8011014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T09:28:27.8011494Z output = func(self, *args, **kwargs) 2025-09-07T09:28:27.8012025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llava/modeling_llava.py", line 289, in forward 2025-09-07T09:28:27.8012570Z outputs = self.language_model( 2025-09-07T09:28:27.8013063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:28:27.8013539Z return self._call_impl(*args, **kwargs) 2025-09-07T09:28:27.8013998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:28:27.8014432Z return forward_call(*args, **kwargs) 2025-09-07T09:28:27.8014962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T09:28:27.8015400Z outputs = func(self, *args, **kwargs) 2025-09-07T09:28:27.8015869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 390, in forward 2025-09-07T09:28:27.8016344Z hidden_states = decoder_layer( 2025-09-07T09:28:27.8016764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:28:27.8017208Z return super().__call__(*args, **kwargs) 2025-09-07T09:28:27.8018238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:28:27.8018982Z return self._call_impl(*args, **kwargs) 2025-09-07T09:28:27.8019440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:28:27.8019882Z return forward_call(*args, **kwargs) 2025-09-07T09:28:27.8020364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward 2025-09-07T09:28:27.8020848Z hidden_states, _ = self.self_attn( 2025-09-07T09:28:27.8021322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:28:27.8021796Z return self._call_impl(*args, **kwargs) 2025-09-07T09:28:27.8022244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:28:27.8022696Z return forward_call(*args, **kwargs) 2025-09-07T09:28:27.8023177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward 2025-09-07T09:28:27.8023773Z query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin) 2025-09-07T09:28:27.8024418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb 2025-09-07T09:28:27.8024960Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T09:28:27.8026642Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 79.10 GiB of which 29.88 MiB is free. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 78.42 GiB is allocated by PyTorch, and 11.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-09-07T09:28:27.8028332Z 2025-09-07T09:28:27.8028485Z The above exception was the direct cause of the following exception: 2025-09-07T09:28:27.8028717Z 2025-09-07T09:28:27.8028806Z Traceback (most recent call last): 2025-09-07T09:28:27.8029153Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T09:28:27.8029516Z ) = runner.load_model( 2025-09-07T09:28:27.8029862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T09:28:27.8030269Z self.validate_model(model, example_inputs) 2025-09-07T09:28:27.8030666Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T09:28:27.8031067Z raise RuntimeError("Eager run failed") from e 2025-09-07T09:28:27.8031317Z RuntimeError: Eager run failed 2025-09-07T09:28:27.8031459Z 2025-09-07T09:28:27.8031528Z eager_fail_to_run 2025-09-07T09:28:29.3259761Z accuracy pass_rate=57.14% 2025-09-07T09:28:29.3270091Z calls_captured gmean=0.00x mean=612.286x 2025-09-07T09:28:29.3273322Z unique_graphs gmean=0.00x mean=1.571x 2025-09-07T09:28:29.3276657Z graph_breaks gmean=0.00x mean=3.429x 2025-09-07T09:28:29.3280103Z unique_graph_breaks gmean=0.00x mean=2.857x 2025-09-07T09:28:29.3283220Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:28:29.3286317Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:28:29.3289749Z cudagraph_skips gmean=0.00x mean=0.286x 2025-09-07T09:28:29.3290773Z compilation_latency mean=19.993 seconds 2025-09-07T09:28:30.1673193Z + [[ 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* ]] 2025-09-07T09:28:30.1676373Z + python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --training --amp --backend inductor --dynamic-shapes --dynamic-batch-only --device cuda --total-partitions 9 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_accuracy.csv 2025-09-07T09:28:30.6787097Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:28:30.6790151Z import pynvml # type: ignore[import] 2025-09-07T09:28:34.3859263Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:28:34.3861012Z import pynvml # type: ignore[import] 2025-09-07T09:28:36.8641669Z 2025-09-07T09:28:40.4454545Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:28:40.4455131Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:28:40.4455516Z cuda train hf_T5 2025-09-07T09:28:50.4972355Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 489, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-09-07T09:28:50.4974189Z pred = mod(**cloned_inputs) 2025-09-07T09:28:50.4975193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward 2025-09-07T09:28:50.4976186Z decoder_outputs = self.decoder( 2025-09-07T09:28:50.4977142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward 2025-09-07T09:28:50.4978552Z layer_outputs = layer_module( 2025-09-07T09:28:50.4979423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:28:50.4980267Z return super().__call__(*args, **kwargs) 2025-09-07T09:28:50.4981041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward 2025-09-07T09:28:50.4981818Z self_attention_outputs = self.layer[0]( 2025-09-07T09:28:50.4982575Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward 2025-09-07T09:28:50.4983337Z attention_output = self.SelfAttention( 2025-09-07T09:28:50.4984088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 539, in forward 2025-09-07T09:28:50.4984842Z position_bias = self.compute_bias( 2025-09-07T09:28:50.4985609Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 463, in compute_bias 2025-09-07T09:28:50.4986705Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T09:28:50.4987466Z 2025-09-07T09:28:50.4987472Z 2025-09-07T09:28:51.9592255Z pass 2025-09-07T09:28:55.1446371Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:28:55.1448020Z import pynvml # type: ignore[import] 2025-09-07T09:28:57.6395368Z 2025-09-07T09:29:02.7789623Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:29:02.7789949Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:29:02.7790227Z cuda train hf_T5_base 2025-09-07T09:29:15.7910831Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 489, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-09-07T09:29:15.7912183Z pred = mod(**cloned_inputs) 2025-09-07T09:29:15.7912762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward 2025-09-07T09:29:15.7913336Z decoder_outputs = self.decoder( 2025-09-07T09:29:15.7913892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward 2025-09-07T09:29:15.7914450Z layer_outputs = layer_module( 2025-09-07T09:29:15.7914961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:29:15.7915503Z return super().__call__(*args, **kwargs) 2025-09-07T09:29:15.7916060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward 2025-09-07T09:29:15.7916630Z self_attention_outputs = self.layer[0]( 2025-09-07T09:29:15.7917205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward 2025-09-07T09:29:15.7918124Z attention_output = self.SelfAttention( 2025-09-07T09:29:15.7918664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 539, in forward 2025-09-07T09:29:15.7919178Z position_bias = self.compute_bias( 2025-09-07T09:29:15.7919705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 463, in compute_bias 2025-09-07T09:29:15.7920447Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T09:29:15.7920841Z 2025-09-07T09:29:15.7920845Z 2025-09-07T09:29:17.1253848Z W0907 09:29:17.124000 5287 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-09-07T09:29:22.9732985Z pass 2025-09-07T09:29:26.2404724Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:29:26.2406883Z import pynvml # type: ignore[import] 2025-09-07T09:29:28.7307951Z 2025-09-07T09:29:38.3230631Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:29:38.3230958Z loading model: 0it [00:09, ?it/s] 2025-09-07T09:29:38.3231243Z cuda train hf_T5_large 2025-09-07T09:29:38.3557080Z pass_due_to_skip 2025-09-07T09:29:40.2839686Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:29:40.2841206Z import pynvml # type: ignore[import] 2025-09-07T09:29:42.7118802Z 2025-09-07T09:29:45.2703102Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:29:45.2703433Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:29:45.2703716Z cuda train hf_Whisper 2025-09-07T09:29:51.4084316Z W0907 09:29:51.407000 5633 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-09-07T09:29:53.2357711Z pass 2025-09-07T09:29:56.1788402Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:29:56.1790182Z import pynvml # type: ignore[import] 2025-09-07T09:29:58.6363104Z 2025-09-07T09:29:59.0746813Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:29:59.0747781Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:29:59.0748206Z cuda train hf_distil_whisper 2025-09-07T09:29:59.0753156Z Traceback (most recent call last): 2025-09-07T09:29:59.0753822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T09:29:59.0754463Z ) = runner.load_model( 2025-09-07T09:29:59.0755124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 325, in load_model 2025-09-07T09:29:59.0755848Z benchmark = benchmark_cls( 2025-09-07T09:29:59.0756400Z File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__ 2025-09-07T09:29:59.0757010Z obj = type.__call__(cls, *args, **kwargs) 2025-09-07T09:29:59.0757884Z File "/torchbench/torchbenchmark/models/hf_distil_whisper/__init__.py", line 13, in __init__ 2025-09-07T09:29:59.0758692Z raise NotImplementedError("Training is not implemented.") 2025-09-07T09:29:59.0759275Z NotImplementedError: Training is not implemented. 2025-09-07T09:29:59.0759623Z 2025-09-07T09:29:59.0759737Z model_fail_to_load 2025-09-07T09:30:00.4410963Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:30:00.4412846Z import pynvml # type: ignore[import] 2025-09-07T09:30:02.9045706Z 2025-09-07T09:30:03.5348658Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:30:03.5349098Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:30:03.5349513Z cuda train lennard_jones 2025-09-07T09:30:07.7206496Z W0907 09:30:07.719000 5986 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:30:08.2046069Z pass 2025-09-07T09:30:11.1867614Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:30:11.1869409Z import pynvml # type: ignore[import] 2025-09-07T09:30:13.6213454Z 2025-09-07T09:31:23.1062031Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:31:23.1062464Z loading model: 0it [01:09, ?it/s] 2025-09-07T09:31:23.1067971Z cuda train llava 2025-09-07T09:31:23.1079513Z Traceback (most recent call last): 2025-09-07T09:31:23.1080185Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T09:31:23.1080864Z self.model_iter_fn(model, example_inputs) 2025-09-07T09:31:23.1081606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 489, in forward_and_backward_pass 2025-09-07T09:31:23.1082341Z pred = mod(**cloned_inputs) 2025-09-07T09:31:23.1083117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:31:23.1083897Z return self._call_impl(*args, **kwargs) 2025-09-07T09:31:23.1084592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:31:23.1085295Z return forward_call(*args, **kwargs) 2025-09-07T09:31:23.1085984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T09:31:23.1086692Z output = func(self, *args, **kwargs) 2025-09-07T09:31:23.1087624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llava/modeling_llava.py", line 436, in forward 2025-09-07T09:31:23.1088396Z outputs = self.model( 2025-09-07T09:31:23.1089121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:31:23.1090336Z return self._call_impl(*args, **kwargs) 2025-09-07T09:31:23.1091268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:31:23.1091977Z return forward_call(*args, **kwargs) 2025-09-07T09:31:23.1092661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T09:31:23.1093451Z output = func(self, *args, **kwargs) 2025-09-07T09:31:23.1094215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llava/modeling_llava.py", line 289, in forward 2025-09-07T09:31:23.1095086Z outputs = self.language_model( 2025-09-07T09:31:23.1095814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:31:23.1096562Z return self._call_impl(*args, **kwargs) 2025-09-07T09:31:23.1097376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:31:23.1097907Z return forward_call(*args, **kwargs) 2025-09-07T09:31:23.1098418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T09:31:23.1098940Z outputs = func(self, *args, **kwargs) 2025-09-07T09:31:23.1099506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 390, in forward 2025-09-07T09:31:23.1100086Z hidden_states = decoder_layer( 2025-09-07T09:31:23.1100592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:31:23.1101137Z return super().__call__(*args, **kwargs) 2025-09-07T09:31:23.1101690Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:31:23.1102253Z return self._call_impl(*args, **kwargs) 2025-09-07T09:31:23.1102776Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:31:23.1103302Z return forward_call(*args, **kwargs) 2025-09-07T09:31:23.1103870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward 2025-09-07T09:31:23.1104454Z hidden_states, _ = self.self_attn( 2025-09-07T09:31:23.1104997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:31:23.1105559Z return self._call_impl(*args, **kwargs) 2025-09-07T09:31:23.1106071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:31:23.1106589Z return forward_call(*args, **kwargs) 2025-09-07T09:31:23.1107160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward 2025-09-07T09:31:23.1107932Z query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin) 2025-09-07T09:31:23.1108620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb 2025-09-07T09:31:23.1109189Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T09:31:23.1110914Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 79.10 GiB of which 29.88 MiB is free. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 78.42 GiB is allocated by PyTorch, and 11.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-09-07T09:31:23.1112601Z 2025-09-07T09:31:23.1112926Z The above exception was the direct cause of the following exception: 2025-09-07T09:31:23.1113295Z 2025-09-07T09:31:23.1113388Z Traceback (most recent call last): 2025-09-07T09:31:23.1113754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T09:31:23.1114130Z ) = runner.load_model( 2025-09-07T09:31:23.1114501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T09:31:23.1114927Z self.validate_model(model, example_inputs) 2025-09-07T09:31:23.1115342Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T09:31:23.1115760Z raise RuntimeError("Eager run failed") from e 2025-09-07T09:31:23.1116032Z RuntimeError: Eager run failed 2025-09-07T09:31:23.1116177Z 2025-09-07T09:31:23.1116245Z eager_fail_to_run 2025-09-07T09:31:24.8079566Z accuracy pass_rate=57.14% 2025-09-07T09:31:24.8090641Z calls_captured gmean=0.00x mean=612.286x 2025-09-07T09:31:24.8093897Z unique_graphs gmean=0.00x mean=1.571x 2025-09-07T09:31:24.8097473Z graph_breaks gmean=0.00x mean=3.429x 2025-09-07T09:31:24.8100713Z unique_graph_breaks gmean=0.00x mean=2.857x 2025-09-07T09:31:24.8103807Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:31:24.8106906Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:31:24.8110330Z cudagraph_skips gmean=0.00x mean=0.286x 2025-09-07T09:31:24.8111366Z compilation_latency mean=5.419 seconds 2025-09-07T09:31:25.6405273Z + [[ 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* ]] 2025-09-07T09:31:25.6407676Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T09:31:25.6409508Z + python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 9 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_accuracy.csv 2025-09-07T09:31:26.1890700Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:31:26.1892479Z import pynvml # type: ignore[import] 2025-09-07T09:31:29.8903607Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:31:29.8905464Z import pynvml # type: ignore[import] 2025-09-07T09:31:32.5522445Z 2025-09-07T09:31:35.6851780Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:31:35.6852348Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:31:35.6852830Z cuda train hf_T5 2025-09-07T09:32:45.4488475Z pass 2025-09-07T09:32:49.4905038Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:32:49.4906828Z import pynvml # type: ignore[import] 2025-09-07T09:32:52.0134654Z 2025-09-07T09:32:56.7249756Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:32:56.7250308Z loading model: 0it [00:04, ?it/s] 2025-09-07T09:32:56.7250786Z cuda train hf_T5_base 2025-09-07T09:34:58.9684944Z W0907 09:34:58.967000 7455 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-09-07T09:35:55.1549647Z pass 2025-09-07T09:36:02.5977109Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:36:02.5979450Z import pynvml # type: ignore[import] 2025-09-07T09:36:05.0949014Z 2025-09-07T09:36:15.6319578Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:36:15.6319937Z loading model: 0it [00:10, ?it/s] 2025-09-07T09:36:15.6320245Z cuda train hf_T5_large 2025-09-07T09:36:15.6565640Z pass_due_to_skip 2025-09-07T09:36:17.5471759Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:36:17.5473189Z import pynvml # type: ignore[import] 2025-09-07T09:36:20.0804078Z 2025-09-07T09:36:22.5898130Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:36:22.5898508Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:36:22.5898811Z cuda train hf_Whisper 2025-09-07T09:36:59.8531810Z W0907 09:36:59.852000 8280 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-09-07T09:37:14.9873664Z pass 2025-09-07T09:37:18.9231519Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:37:18.9234334Z import pynvml # type: ignore[import] 2025-09-07T09:37:21.6264381Z 2025-09-07T09:37:22.0491911Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:37:22.0492284Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:37:22.0492631Z cuda train hf_distil_whisper 2025-09-07T09:37:22.0497114Z Traceback (most recent call last): 2025-09-07T09:37:22.0497767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T09:37:22.0498223Z ) = runner.load_model( 2025-09-07T09:37:22.0498702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 325, in load_model 2025-09-07T09:37:22.0499209Z benchmark = benchmark_cls( 2025-09-07T09:37:22.0499590Z File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__ 2025-09-07T09:37:22.0500007Z obj = type.__call__(cls, *args, **kwargs) 2025-09-07T09:37:22.0500591Z File "/torchbench/torchbenchmark/models/hf_distil_whisper/__init__.py", line 13, in __init__ 2025-09-07T09:37:22.0501155Z raise NotImplementedError("Training is not implemented.") 2025-09-07T09:37:22.0501540Z NotImplementedError: Training is not implemented. 2025-09-07T09:37:22.0501767Z 2025-09-07T09:37:22.0501845Z model_fail_to_load 2025-09-07T09:37:23.6441236Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:37:23.6442609Z import pynvml # type: ignore[import] 2025-09-07T09:37:26.2688309Z 2025-09-07T09:37:26.9023895Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:37:26.9024225Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:37:26.9024512Z cuda train lennard_jones 2025-09-07T09:37:35.9611551Z W0907 09:37:35.960000 9529 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:37:40.0848714Z pass 2025-09-07T09:37:42.8868825Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:37:42.8870279Z import pynvml # type: ignore[import] 2025-09-07T09:37:45.6309895Z 2025-09-07T09:38:54.5938861Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:38:54.5939275Z loading model: 0it [01:08, ?it/s] 2025-09-07T09:38:54.5939623Z cuda train llava 2025-09-07T09:38:54.5959174Z Traceback (most recent call last): 2025-09-07T09:38:54.5959793Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T09:38:54.5960341Z self.model_iter_fn(model, example_inputs) 2025-09-07T09:38:54.5960945Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 489, in forward_and_backward_pass 2025-09-07T09:38:54.5961511Z pred = mod(**cloned_inputs) 2025-09-07T09:38:54.5962088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:38:54.5962710Z return self._call_impl(*args, **kwargs) 2025-09-07T09:38:54.5963291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:38:54.5963837Z return forward_call(*args, **kwargs) 2025-09-07T09:38:54.5964407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T09:38:54.5964952Z output = func(self, *args, **kwargs) 2025-09-07T09:38:54.5965551Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llava/modeling_llava.py", line 436, in forward 2025-09-07T09:38:54.5966149Z outputs = self.model( 2025-09-07T09:38:54.5966691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:38:54.5967485Z return self._call_impl(*args, **kwargs) 2025-09-07T09:38:54.5968057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:38:54.5968607Z return forward_call(*args, **kwargs) 2025-09-07T09:38:54.5969184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T09:38:54.5969741Z output = func(self, *args, **kwargs) 2025-09-07T09:38:54.5970268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llava/modeling_llava.py", line 289, in forward 2025-09-07T09:38:54.5970811Z outputs = self.language_model( 2025-09-07T09:38:54.5971311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:38:54.5971833Z return self._call_impl(*args, **kwargs) 2025-09-07T09:38:54.5972311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:38:54.5972789Z return forward_call(*args, **kwargs) 2025-09-07T09:38:54.5973270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T09:38:54.5973761Z outputs = func(self, *args, **kwargs) 2025-09-07T09:38:54.5974297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 390, in forward 2025-09-07T09:38:54.5974952Z hidden_states = decoder_layer( 2025-09-07T09:38:54.5975425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:38:54.5975928Z return super().__call__(*args, **kwargs) 2025-09-07T09:38:54.5976440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:38:54.5976963Z return self._call_impl(*args, **kwargs) 2025-09-07T09:38:54.5977547Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:38:54.5978491Z return forward_call(*args, **kwargs) 2025-09-07T09:38:54.5979251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward 2025-09-07T09:38:54.5979788Z hidden_states, _ = self.self_attn( 2025-09-07T09:38:54.5980231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:38:54.5980691Z return self._call_impl(*args, **kwargs) 2025-09-07T09:38:54.5981116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:38:54.5981554Z return forward_call(*args, **kwargs) 2025-09-07T09:38:54.5982028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward 2025-09-07T09:38:54.5982607Z query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin) 2025-09-07T09:38:54.5983244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb 2025-09-07T09:38:54.5983789Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T09:38:54.5985400Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 79.10 GiB of which 29.88 MiB is free. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 78.42 GiB is allocated by PyTorch, and 11.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-09-07T09:38:54.5986895Z 2025-09-07T09:38:54.5987053Z The above exception was the direct cause of the following exception: 2025-09-07T09:38:54.5987423Z 2025-09-07T09:38:54.5987511Z Traceback (most recent call last): 2025-09-07T09:38:54.5987865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T09:38:54.5988223Z ) = runner.load_model( 2025-09-07T09:38:54.5988570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T09:38:54.5988976Z self.validate_model(model, example_inputs) 2025-09-07T09:38:54.5989384Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T09:38:54.5989790Z raise RuntimeError("Eager run failed") from e 2025-09-07T09:38:54.5990057Z RuntimeError: Eager run failed 2025-09-07T09:38:54.5990194Z 2025-09-07T09:38:54.5990259Z eager_fail_to_run 2025-09-07T09:38:56.3290477Z accuracy pass_rate=57.14% 2025-09-07T09:38:56.3296209Z calls_captured gmean=0.00x mean=612.286x 2025-09-07T09:38:56.3300373Z unique_graphs gmean=0.00x mean=1.571x 2025-09-07T09:38:56.3302977Z graph_breaks gmean=0.00x mean=3.429x 2025-09-07T09:38:56.3314741Z unique_graph_breaks gmean=0.00x mean=2.857x 2025-09-07T09:38:56.3318127Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:38:56.3321545Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:38:56.3324753Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:38:56.3325889Z compilation_latency mean=43.977 seconds 2025-09-07T09:38:57.2705376Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freezing_cudagraphs-true* ]] 2025-09-07T09:38:57.2706576Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:38:57.2708194Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freeze_autotune_cudagraphs-true* ]] 2025-09-07T09:38:57.2709345Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:38:57.2710919Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *aotinductor-true* ]] 2025-09-07T09:38:57.2712209Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:38:57.2713275Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *maxautotune-true* ]] 2025-09-07T09:38:57.2714344Z + TORCHINDUCTOR_MAX_AUTOTUNE=1 2025-09-07T09:38:57.2715450Z + python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 9 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_accuracy.csv 2025-09-07T09:38:57.8561740Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:38:57.8563549Z import pynvml # type: ignore[import] 2025-09-07T09:39:01.8673610Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:39:01.8675444Z import pynvml # type: ignore[import] 2025-09-07T09:39:04.8873993Z 2025-09-07T09:39:09.6407528Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:39:09.6407923Z loading model: 0it [00:04, ?it/s] 2025-09-07T09:39:09.6415903Z cuda train hf_T5 2025-09-07T09:39:38.1992144Z Autotune Choices Stats: 2025-09-07T09:39:38.1993682Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.021247999742627144, "best_triton_pos": 1, "best_triton_time": 0.02284800074994564, "best_triton_kernel": "triton_mm_130", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:39:38.3946941Z AUTOTUNE mm(4096x512, 512x2048) 2025-09-07T09:39:38.3947629Z strides: [512, 1], [1, 512] 2025-09-07T09:39:38.3947904Z dtypes: torch.float16, torch.float16 2025-09-07T09:39:38.3948173Z mm 0.0212 ms 100.0% 2025-09-07T09:39:38.3948788Z triton_mm_130 0.0228 ms 93.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:38.3949810Z triton_mm_129 0.0256 ms 83.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:38.3950809Z triton_mm_131 0.0268 ms 79.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:39:38.3951775Z triton_mm_124 0.0278 ms 76.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:38.3952786Z triton_mm_122 0.0320 ms 66.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:38.3953765Z triton_mm_123 0.0321 ms 66.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:39:38.3955142Z triton_mm_127 0.0324 ms 65.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:39:38.3956307Z triton_mm_126 0.0324 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=3, num_warps=4 2025-09-07T09:39:38.3957215Z triton_mm_120 0.0338 ms 62.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:39:38.3958175Z SingleProcess AUTOTUNE benchmarking takes 0.7002 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:39:40.5240906Z Autotune Choices Stats: 2025-09-07T09:39:40.5243048Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01142400037497282, "best_triton_pos": 1, "best_triton_time": 0.01152000017464161, "best_triton_kernel": "triton_mm_11", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:39:40.5744588Z AUTOTUNE mm(4096x512, 512x512) 2025-09-07T09:39:40.5744848Z strides: [512, 1], [1, 512] 2025-09-07T09:39:40.5745102Z dtypes: torch.float16, torch.float16 2025-09-07T09:39:40.5745365Z mm 0.0114 ms 100.0% 2025-09-07T09:39:40.5745972Z triton_mm_11 0.0115 ms 99.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:40.5746952Z triton_mm_18 0.0115 ms 99.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:39:40.5748109Z triton_mm_17 0.0120 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 2025-09-07T09:39:40.5749084Z triton_mm_10 0.0126 ms 90.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:39:40.5750046Z triton_mm_7 0.0126 ms 90.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:39:40.5750993Z triton_mm_14 0.0128 ms 89.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:39:40.5751951Z triton_mm_12 0.0134 ms 85.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:39:40.5752907Z triton_mm_9 0.0137 ms 83.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:40.5753871Z triton_mm_13 0.0138 ms 82.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:40.5754710Z SingleProcess AUTOTUNE benchmarking takes 0.2867 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:39:40.8415458Z Autotune Choices Stats: 2025-09-07T09:39:40.8416404Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_68", "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": 0.03292800113558769, "best_triton_pos": 0} 2025-09-07T09:39:41.0408329Z AUTOTUNE bmm(32x1024x64, 32x64x1024) 2025-09-07T09:39:41.0408844Z strides: [65536, 64, 1], [65536, 1024, 1] 2025-09-07T09:39:41.0409319Z dtypes: torch.float16, torch.float16 2025-09-07T09:39:41.0411071Z triton_bmm_68 0.0329 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:41.0413263Z triton_bmm_73 0.0329 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:41.0414828Z triton_bmm_69 0.0330 ms 99.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:39:41.0415668Z triton_bmm_66 0.0332 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:41.0416514Z triton_bmm_70 0.0341 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:41.0417046Z bmm 0.0343 ms 96.0% 2025-09-07T09:39:41.0417844Z triton_bmm_65 0.0378 ms 87.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:39:41.0418695Z triton_bmm_71 0.0395 ms 83.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:39:41.0419542Z triton_bmm_75 0.0397 ms 83.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:39:41.0420383Z triton_bmm_74 0.0402 ms 81.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:41.0421121Z SingleProcess AUTOTUNE benchmarking takes 0.4639 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:39:41.2918858Z Autotune Choices Stats: 2025-09-07T09:39:41.2919926Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_83", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8", "best_time": 0.03855999931693077, "best_triton_pos": 0} 2025-09-07T09:39:41.5170644Z AUTOTUNE bmm(32x1024x1024, 32x1024x64) 2025-09-07T09:39:41.5171064Z strides: [1048576, 1024, 1], [65536, 64, 1] 2025-09-07T09:39:41.5171369Z dtypes: torch.float16, torch.float16 2025-09-07T09:39:41.5172063Z triton_bmm_83 0.0386 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:39:41.5173064Z triton_bmm_87 0.0386 ms 99.9% 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=4 2025-09-07T09:39:41.5174192Z triton_bmm_84 0.0393 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 2025-09-07T09:39:41.5175227Z triton_bmm_92 0.0393 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:41.5176134Z triton_bmm_93 0.0398 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:39:41.5177036Z triton_bmm_88 0.0398 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:39:41.5178014Z bmm 0.0399 ms 96.6% 2025-09-07T09:39:41.5178537Z triton_bmm_85 0.0410 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:41.5179938Z triton_bmm_89 0.0417 ms 92.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:41.5181050Z triton_bmm_86 0.0423 ms 91.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:39:41.5181848Z SingleProcess AUTOTUNE benchmarking takes 0.4749 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T09:39:41.7892075Z Autotune Choices Stats: 2025-09-07T09:39:41.7893429Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.020031999796628952, "best_triton_pos": 1, "best_triton_time": 0.022143999114632607, "best_triton_kernel": "triton_mm_150", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T09:39:41.9768687Z AUTOTUNE mm(4096x2048, 2048x512) 2025-09-07T09:39:41.9769021Z strides: [2048, 1], [1, 2048] 2025-09-07T09:39:41.9769306Z dtypes: torch.float16, torch.float16 2025-09-07T09:39:41.9769588Z mm 0.0200 ms 100.0% 2025-09-07T09:39:41.9770212Z triton_mm_150 0.0221 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:39:41.9771230Z triton_mm_143 0.0258 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:41.9772255Z triton_mm_144 0.0267 ms 75.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:39:41.9773263Z triton_mm_149 0.0274 ms 73.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:41.9774316Z triton_mm_139 0.0296 ms 67.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:39:41.9775284Z triton_mm_142 0.0306 ms 65.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:39:41.9776181Z triton_mm_146 0.0319 ms 62.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:39:41.9777072Z triton_mm_140 0.0344 ms 58.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:39:41.9778355Z triton_mm_141 0.0369 ms 54.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:41.9779155Z SingleProcess AUTOTUNE benchmarking takes 0.4581 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:39:42.7458010Z Autotune Choices Stats: 2025-09-07T09:39:42.7459258Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.22172799706459045, "best_triton_pos": 1, "best_triton_time": 0.28390398621559143, "best_triton_kernel": "triton_mm_2507", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:39:43.0651328Z AUTOTUNE mm(4096x512, 512x32128) 2025-09-07T09:39:43.0651606Z strides: [512, 1], [1, 512] 2025-09-07T09:39:43.0651871Z dtypes: torch.float16, torch.float16 2025-09-07T09:39:43.0652145Z mm 0.2217 ms 100.0% 2025-09-07T09:39:43.0653098Z triton_mm_2507 0.2839 ms 78.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:43.0654387Z triton_mm_2506 0.2956 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:43.0655495Z triton_mm_2501 0.3321 ms 66.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:43.0656486Z triton_mm_2508 0.3472 ms 63.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:39:43.0657772Z triton_mm_2504 0.4091 ms 54.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:39:43.0658754Z triton_mm_2503 0.4117 ms 53.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:43.0659738Z triton_mm_2499 0.4325 ms 51.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:39:43.0660705Z triton_mm_2500 0.4334 ms 51.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:39:43.0661669Z triton_mm_2497 0.4452 ms 49.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:39:43.0662527Z SingleProcess AUTOTUNE benchmarking takes 1.0180 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:40:00.9152970Z Autotune Choices Stats: 2025-09-07T09:40:00.9155081Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.18556800484657288, "best_triton_pos": 1, "best_triton_time": 0.22111999988555908, "best_triton_kernel": "triton_mm_2526", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:40:01.1343634Z AUTOTUNE mm(32128x4096, 4096x512) 2025-09-07T09:40:01.1343908Z strides: [1, 32128], [512, 1] 2025-09-07T09:40:01.1344164Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:01.1344422Z mm 0.1856 ms 100.0% 2025-09-07T09:40:01.1345017Z triton_mm_2526 0.2211 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 2025-09-07T09:40:01.1346033Z triton_mm_2525 0.2262 ms 82.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:01.1347056Z triton_mm_2527 0.2466 ms 75.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:01.1348398Z triton_mm_2521 0.2753 ms 67.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:40:01.1349391Z triton_mm_2518 0.2940 ms 63.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:01.1350373Z triton_mm_2520 0.2949 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 2025-09-07T09:40:01.1351671Z triton_mm_2519 0.3255 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 2025-09-07T09:40:01.1352570Z triton_mm_2522 0.3483 ms 53.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:01.1353696Z triton_mm_2523 0.3611 ms 51.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:01.1354486Z SingleProcess AUTOTUNE benchmarking takes 0.9046 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:40:01.6285873Z Autotune Choices Stats: 2025-09-07T09:40:01.6287434Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.020864000543951988, "best_triton_pos": 1, "best_triton_time": 0.022784000262618065, "best_triton_kernel": "triton_mm_2583", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:40:01.8385982Z AUTOTUNE mm(4096x512, 512x2048) 2025-09-07T09:40:01.8386264Z strides: [512, 1], [2048, 1] 2025-09-07T09:40:01.8386520Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:01.8386782Z mm 0.0209 ms 100.0% 2025-09-07T09:40:01.8387714Z triton_mm_2583 0.0228 ms 91.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:01.8388717Z triton_mm_2582 0.0230 ms 90.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:01.8389703Z triton_mm_2575 0.0263 ms 79.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:01.8390695Z triton_mm_2584 0.0263 ms 79.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:01.8391665Z triton_mm_2577 0.0277 ms 75.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:01.8392562Z triton_mm_2576 0.0286 ms 72.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:01.8393462Z triton_mm_2579 0.0300 ms 69.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:01.8394359Z triton_mm_2580 0.0306 ms 68.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:01.8395267Z triton_mm_2572 0.0328 ms 63.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:40:01.8396060Z SingleProcess AUTOTUNE benchmarking takes 0.4661 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:40:02.4530134Z Autotune Choices Stats: 2025-09-07T09:40:02.4531534Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.020096000283956528, "best_triton_pos": 1, "best_triton_time": 0.022495999932289124, "best_triton_kernel": "triton_mm_2559", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T09:40:02.5257544Z AUTOTUNE mm(512x4096, 4096x2048) 2025-09-07T09:40:02.5257835Z strides: [1, 512], [2048, 1] 2025-09-07T09:40:02.5258099Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:02.5258369Z mm 0.0201 ms 100.0% 2025-09-07T09:40:02.5259485Z triton_mm_2559 0.0225 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:40:02.5260929Z triton_mm_2565 0.0293 ms 68.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:02.5261928Z triton_mm_2555 0.0295 ms 68.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:40:02.5262914Z triton_mm_2558 0.0359 ms 55.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:02.5263888Z triton_mm_2554 0.0368 ms 54.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:40:02.5264882Z triton_mm_2564 0.0393 ms 51.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:02.5265891Z triton_mm_2561 0.0398 ms 50.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:02.5266884Z triton_mm_2557 0.0411 ms 48.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:02.5268029Z triton_mm_2551 0.0484 ms 41.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:40:02.5268890Z SingleProcess AUTOTUNE benchmarking takes 0.3582 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:40:02.9992906Z Autotune Choices Stats: 2025-09-07T09:40:02.9994287Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.021407999098300934, "best_triton_pos": 1, "best_triton_time": 0.02304000034928322, "best_triton_kernel": "triton_mm_2597", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T09:40:03.2086324Z AUTOTUNE mm(2048x4096, 4096x512) 2025-09-07T09:40:03.2088837Z strides: [1, 2048], [512, 1] 2025-09-07T09:40:03.2089117Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:03.2089365Z mm 0.0214 ms 100.0% 2025-09-07T09:40:03.2089904Z triton_mm_2597 0.0230 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:40:03.2090839Z triton_mm_2603 0.0294 ms 72.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:03.2091764Z triton_mm_2593 0.0301 ms 71.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:40:03.2092665Z triton_mm_2596 0.0355 ms 60.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:03.2093561Z triton_mm_2592 0.0366 ms 58.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:40:03.2094464Z triton_mm_2602 0.0391 ms 54.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:03.2095765Z triton_mm_2595 0.0409 ms 52.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:03.2096860Z triton_mm_2599 0.0413 ms 51.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:03.2097945Z triton_mm_2589 0.0490 ms 43.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:40:03.2098732Z SingleProcess AUTOTUNE benchmarking takes 0.4943 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:40:03.7983484Z Autotune Choices Stats: 2025-09-07T09:40:03.7984814Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.015359999611973763, "best_triton_pos": 1, "best_triton_time": 0.01568000018596649, "best_triton_kernel": "triton_mm_2627", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T09:40:03.8482476Z AUTOTUNE mm(512x4096, 4096x512) 2025-09-07T09:40:03.8482922Z strides: [1, 512], [512, 1] 2025-09-07T09:40:03.8483319Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:03.8483721Z mm 0.0154 ms 100.0% 2025-09-07T09:40:03.8484646Z triton_mm_2627 0.0157 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:40:03.8486174Z triton_mm_2631 0.0165 ms 93.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:40:03.8488112Z triton_mm_2635 0.0192 ms 79.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:40:03.8489647Z triton_mm_2641 0.0274 ms 56.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:03.8491215Z triton_mm_2626 0.0293 ms 52.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:03.8492261Z triton_mm_2625 0.0303 ms 50.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:03.8493103Z triton_mm_2630 0.0313 ms 49.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:40:03.8493946Z triton_mm_2634 0.0314 ms 48.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:03.8494889Z triton_mm_2640 0.0344 ms 44.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:03.8495648Z SingleProcess AUTOTUNE benchmarking takes 0.4085 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:40:05.6319994Z Autotune Choices Stats: 2025-09-07T09:40:05.6321335Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.18281599879264832, "best_triton_pos": 1, "best_triton_time": 0.2149440050125122, "best_triton_kernel": "triton_mm_2546", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T09:40:05.8294753Z AUTOTUNE mm(4096x32128, 32128x512) 2025-09-07T09:40:05.8295287Z strides: [32128, 1], [512, 1] 2025-09-07T09:40:05.8295682Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:05.8296083Z mm 0.1828 ms 100.0% 2025-09-07T09:40:05.8300671Z triton_mm_2546 0.2149 ms 85.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:05.8302583Z triton_mm_2540 0.2372 ms 77.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:40:05.8303583Z triton_mm_2545 0.2440 ms 74.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:05.8304569Z triton_mm_2539 0.2935 ms 62.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:05.8305569Z triton_mm_2542 0.3142 ms 58.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:05.8306546Z triton_mm_2538 0.3298 ms 55.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:05.8307697Z triton_mm_2536 0.3651 ms 50.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:40:05.8308702Z triton_mm_2544 0.3987 ms 45.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:05.8309682Z triton_mm_2537 0.4003 ms 45.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:05.8310536Z SingleProcess AUTOTUNE benchmarking takes 0.8880 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:40:06.0878140Z Autotune Choices Stats: 2025-09-07T09:40:06.0880237Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.020447999238967896, "best_triton_pos": 1, "best_triton_time": 0.021856000646948814, "best_triton_kernel": "triton_mm_2622", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T09:40:06.2959985Z AUTOTUNE mm(4096x2048, 2048x512) 2025-09-07T09:40:06.2960471Z strides: [2048, 1], [512, 1] 2025-09-07T09:40:06.2960899Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:06.2961354Z mm 0.0204 ms 100.0% 2025-09-07T09:40:06.2962382Z triton_mm_2622 0.0219 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:06.2963247Z triton_mm_2615 0.0249 ms 82.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:06.2964109Z triton_mm_2616 0.0256 ms 79.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:40:06.2964974Z triton_mm_2621 0.0261 ms 78.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:06.2965816Z triton_mm_2611 0.0291 ms 70.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:40:06.2966648Z triton_mm_2614 0.0296 ms 69.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:06.2967948Z triton_mm_2618 0.0307 ms 66.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:06.2968985Z triton_mm_2612 0.0333 ms 61.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:40:06.2969830Z triton_mm_2613 0.0356 ms 57.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:06.2970572Z SingleProcess AUTOTUNE benchmarking takes 0.4651 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:40:06.4979314Z Autotune Choices Stats: 2025-09-07T09:40:06.4980931Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_2660", "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": 0.011359999887645245, "best_triton_pos": 0} 2025-09-07T09:40:06.5282115Z AUTOTUNE mm(4096x512, 512x512) 2025-09-07T09:40:06.5282542Z strides: [512, 1], [512, 1] 2025-09-07T09:40:06.5282945Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:06.5284032Z triton_mm_2660 0.0114 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:06.5285087Z mm 0.0114 ms 99.7% 2025-09-07T09:40:06.5286038Z triton_mm_2659 0.0116 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:06.5288144Z triton_mm_2653 0.0117 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:06.5289740Z triton_mm_2652 0.0124 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=4, num_warps=8 2025-09-07T09:40:06.5291321Z triton_mm_2656 0.0127 ms 89.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:06.5292699Z triton_mm_2649 0.0128 ms 88.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:40:06.5293539Z triton_mm_2651 0.0135 ms 84.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:06.5294389Z triton_mm_2658 0.0138 ms 82.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:06.5295327Z triton_mm_2654 0.0139 ms 81.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:40:06.5296070Z SingleProcess AUTOTUNE benchmarking takes 0.2311 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:40:06.9177210Z Autotune Choices Stats: 2025-09-07T09:40:06.9178339Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_2672", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.03836800158023834, "best_triton_pos": 0} 2025-09-07T09:40:06.9195093Z AUTOTUNE bmm(32x1024x1024, 32x1024x64) 2025-09-07T09:40:06.9195364Z strides: [1048576, 1, 1024], [65536, 64, 1] 2025-09-07T09:40:06.9195618Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:06.9196508Z triton_bmm_2672 0.0384 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:06.9197844Z triton_bmm_2678 0.0385 ms 99.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:06.9198764Z triton_bmm_2675 0.0386 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:06.9199673Z triton_bmm_2677 0.0386 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:06.9200640Z triton_bmm_2671 0.0389 ms 98.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:06.9201545Z triton_bmm_2674 0.0389 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:06.9202460Z triton_bmm_2668 0.0390 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:40:06.9203360Z triton_bmm_2670 0.0390 ms 98.3% 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=3, num_warps=4 2025-09-07T09:40:06.9203927Z bmm 0.0391 ms 98.1% 2025-09-07T09:40:06.9204457Z triton_bmm_2669 0.0395 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:40:06.9205247Z SingleProcess AUTOTUNE benchmarking takes 0.3908 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:40:07.1809552Z Autotune Choices Stats: 2025-09-07T09:40:07.1810904Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "bmm", "best_time": 0.03363199904561043, "best_triton_pos": 1, "best_triton_time": 0.03385600075125694, "best_triton_kernel": "triton_bmm_2695", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:40:07.1819448Z AUTOTUNE bmm(32x1024x64, 32x64x1024) 2025-09-07T09:40:07.1819766Z strides: [65536, 64, 1], [65536, 1, 64] 2025-09-07T09:40:07.1820055Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:07.1820354Z bmm 0.0336 ms 100.0% 2025-09-07T09:40:07.1820972Z triton_bmm_2695 0.0339 ms 99.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:07.1822122Z triton_bmm_2688 0.0344 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:07.1823142Z triton_bmm_2692 0.0353 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:07.1824121Z triton_bmm_2687 0.0370 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=5, num_warps=4 2025-09-07T09:40:07.1825104Z triton_bmm_2690 0.0377 ms 89.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:07.1826088Z triton_bmm_2691 0.0385 ms 87.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:40:07.1827749Z triton_bmm_2696 0.0402 ms 83.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:07.1828983Z triton_bmm_2689 0.0403 ms 83.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:07.1829985Z triton_bmm_2697 0.0403 ms 83.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:07.1830846Z SingleProcess AUTOTUNE benchmarking takes 0.2620 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:40:07.4070105Z Autotune Choices Stats: 2025-09-07T09:40:07.4071078Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_2710", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.038495998829603195, "best_triton_pos": 0} 2025-09-07T09:40:07.4144243Z AUTOTUNE bmm(32x64x1024, 32x1024x1024) 2025-09-07T09:40:07.4144546Z strides: [65536, 1, 64], [1048576, 1024, 1] 2025-09-07T09:40:07.4144830Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:07.4145496Z triton_bmm_2710 0.0385 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:40:07.4146511Z triton_bmm_2708 0.0386 ms 99.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:07.4147759Z triton_bmm_2709 0.0386 ms 99.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:07.4148752Z triton_bmm_2705 0.0389 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:40:07.4149718Z triton_bmm_2712 0.0389 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:40:07.4150689Z triton_bmm_2714 0.0389 ms 98.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:07.4151661Z triton_bmm_2707 0.0390 ms 98.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:07.4152283Z bmm 0.0391 ms 98.4% 2025-09-07T09:40:07.4152844Z triton_bmm_2711 0.0393 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:07.4153766Z triton_bmm_2706 0.0397 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:40:07.4154562Z SingleProcess AUTOTUNE benchmarking takes 0.2316 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T09:40:07.8423452Z Autotune Choices Stats: 2025-09-07T09:40:07.8424414Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_2726", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.038336001336574554, "best_triton_pos": 0} 2025-09-07T09:40:07.8434137Z AUTOTUNE bmm(32x1024x1024, 32x1024x64) 2025-09-07T09:40:07.8434412Z strides: [1048576, 1024, 1], [65536, 1, 1024] 2025-09-07T09:40:07.8434677Z dtypes: torch.float16, torch.float16 2025-09-07T09:40:07.8435549Z triton_bmm_2726 0.0383 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:07.8436713Z triton_bmm_2722 0.0386 ms 99.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:40:07.8437927Z triton_bmm_2723 0.0392 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:40:07.8438847Z triton_bmm_2731 0.0396 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:07.8439760Z triton_bmm_2727 0.0396 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:40:07.8440676Z triton_bmm_2732 0.0397 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:40:07.8441259Z bmm 0.0399 ms 96.1% 2025-09-07T09:40:07.8441781Z triton_bmm_2724 0.0410 ms 93.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:07.8442697Z triton_bmm_2716 0.0418 ms 91.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:40:07.8443604Z triton_bmm_2728 0.0420 ms 91.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:40:07.8444406Z SingleProcess AUTOTUNE benchmarking takes 0.4286 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:40:13.2113570Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 489, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-09-07T09:40:13.2114937Z pred = mod(**cloned_inputs) 2025-09-07T09:40:13.2115555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward 2025-09-07T09:40:13.2116163Z decoder_outputs = self.decoder( 2025-09-07T09:40:13.2116734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward 2025-09-07T09:40:13.2117681Z layer_outputs = layer_module( 2025-09-07T09:40:13.2118235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:40:13.2118796Z return super().__call__(*args, **kwargs) 2025-09-07T09:40:13.2119376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward 2025-09-07T09:40:13.2119974Z self_attention_outputs = self.layer[0]( 2025-09-07T09:40:13.2120581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward 2025-09-07T09:40:13.2121186Z attention_output = self.SelfAttention( 2025-09-07T09:40:13.2121780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 539, in forward 2025-09-07T09:40:13.2122386Z position_bias = self.compute_bias( 2025-09-07T09:40:13.2122999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 463, in compute_bias 2025-09-07T09:40:13.2123864Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T09:40:13.2124268Z 2025-09-07T09:40:13.2124272Z 2025-09-07T09:40:14.7585867Z pass 2025-09-07T09:40:19.2005250Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:40:19.2007082Z import pynvml # type: ignore[import] 2025-09-07T09:40:21.7538981Z 2025-09-07T09:40:26.5814053Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:40:26.5814412Z loading model: 0it [00:04, ?it/s] 2025-09-07T09:40:26.5814721Z cuda train hf_T5_base 2025-09-07T09:41:05.9264438Z Autotune Choices Stats: 2025-09-07T09:41:05.9265727Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.03699199855327606, "best_triton_pos": 1, "best_triton_time": 0.04108799993991852, "best_triton_kernel": "triton_mm_130", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:41:05.9277067Z AUTOTUNE mm(4096x768, 768x3072) 2025-09-07T09:41:05.9277498Z strides: [768, 1], [1, 768] 2025-09-07T09:41:05.9277768Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:05.9278040Z mm 0.0370 ms 100.0% 2025-09-07T09:41:05.9278648Z triton_mm_130 0.0411 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:05.9279642Z triton_mm_129 0.0438 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 2025-09-07T09:41:05.9280624Z triton_mm_131 0.0475 ms 78.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:41:05.9281526Z triton_mm_124 0.0511 ms 72.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:05.9282417Z triton_mm_122 0.0598 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 2025-09-07T09:41:05.9283304Z triton_mm_123 0.0601 ms 61.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:05.9284198Z triton_mm_125 0.0602 ms 61.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:41:05.9285091Z triton_mm_127 0.0612 ms 60.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:05.9285983Z triton_mm_126 0.0617 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=3, num_warps=4 2025-09-07T09:41:05.9286782Z SingleProcess AUTOTUNE benchmarking takes 0.3700 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T09:41:08.9626533Z Autotune Choices Stats: 2025-09-07T09:41:08.9628214Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01532800029963255, "best_triton_pos": 1, "best_triton_time": 0.015552000142633915, "best_triton_kernel": "triton_mm_11", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:41:08.9684345Z AUTOTUNE mm(4096x768, 768x768) 2025-09-07T09:41:08.9684825Z strides: [768, 1], [1, 768] 2025-09-07T09:41:08.9685242Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:08.9685676Z mm 0.0153 ms 100.0% 2025-09-07T09:41:08.9687509Z triton_mm_11 0.0156 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:08.9689593Z triton_mm_17 0.0162 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:08.9691255Z triton_mm_16 0.0191 ms 80.1% 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 2025-09-07T09:41:08.9692462Z triton_mm_13 0.0192 ms 79.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:08.9693371Z triton_mm_18 0.0193 ms 79.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:41:08.9694284Z triton_mm_9 0.0195 ms 78.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:08.9695254Z triton_mm_10 0.0199 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:08.9696141Z triton_mm_14 0.0201 ms 76.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:08.9697037Z triton_mm_12 0.0209 ms 73.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:41:08.9697958Z SingleProcess AUTOTUNE benchmarking takes 0.2579 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:41:09.2816724Z Autotune Choices Stats: 2025-09-07T09:41:09.2818160Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_73", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.045632001012563705, "best_triton_pos": 0} 2025-09-07T09:41:09.3140895Z AUTOTUNE bmm(48x1024x64, 48x64x1024) 2025-09-07T09:41:09.3141515Z strides: [65536, 64, 1], [65536, 1024, 1] 2025-09-07T09:41:09.3142068Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:09.3142754Z triton_bmm_73 0.0456 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:09.3143772Z triton_bmm_69 0.0459 ms 99.4% 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=4, num_warps=4 2025-09-07T09:41:09.3144810Z triton_bmm_68 0.0460 ms 99.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:09.3145801Z triton_bmm_66 0.0461 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:09.3146408Z bmm 0.0482 ms 94.6% 2025-09-07T09:41:09.3146973Z triton_bmm_70 0.0485 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:09.3148070Z triton_bmm_65 0.0548 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=5, num_warps=4 2025-09-07T09:41:09.3149046Z triton_bmm_75 0.0564 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=5, num_warps=8 2025-09-07T09:41:09.3150389Z triton_bmm_71 0.0566 ms 80.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:09.3151572Z triton_bmm_67 0.0568 ms 80.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:09.3152353Z SingleProcess AUTOTUNE benchmarking takes 0.3421 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:41:09.5963564Z Autotune Choices Stats: 2025-09-07T09:41:09.5964555Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_87", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.051711998879909515, "best_triton_pos": 0} 2025-09-07T09:41:09.6001655Z AUTOTUNE bmm(48x1024x1024, 48x1024x64) 2025-09-07T09:41:09.6002067Z strides: [1048576, 1024, 1], [65536, 64, 1] 2025-09-07T09:41:09.6002387Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:09.6003056Z triton_bmm_87 0.0517 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:09.6004054Z triton_bmm_83 0.0519 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:41:09.6005028Z triton_bmm_84 0.0521 ms 99.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:41:09.6006011Z triton_bmm_93 0.0528 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:41:09.6006985Z triton_bmm_92 0.0530 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:09.6008346Z triton_bmm_88 0.0532 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:41:09.6008956Z bmm 0.0539 ms 96.0% 2025-09-07T09:41:09.6009533Z triton_bmm_85 0.0543 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:09.6010516Z triton_bmm_89 0.0569 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:09.6011573Z triton_bmm_90 0.0588 ms 87.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:09.6012397Z SingleProcess AUTOTUNE benchmarking takes 0.2855 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:41:09.9557723Z Autotune Choices Stats: 2025-09-07T09:41:09.9559118Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.03248000144958496, "best_triton_pos": 1, "best_triton_time": 0.0390079990029335, "best_triton_kernel": "triton_mm_143", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:41:09.9899717Z AUTOTUNE mm(4096x3072, 3072x768) 2025-09-07T09:41:09.9899989Z strides: [3072, 1], [1, 3072] 2025-09-07T09:41:09.9900257Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:09.9900549Z mm 0.0325 ms 100.0% 2025-09-07T09:41:09.9901180Z triton_mm_143 0.0390 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:09.9902525Z triton_mm_149 0.0405 ms 80.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:09.9903685Z triton_mm_150 0.0459 ms 70.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:41:09.9904660Z triton_mm_144 0.0482 ms 67.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:41:09.9905618Z triton_mm_141 0.0558 ms 58.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:09.9906577Z triton_mm_145 0.0563 ms 57.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:09.9907719Z triton_mm_148 0.0569 ms 57.1% 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 2025-09-07T09:41:09.9908691Z triton_mm_142 0.0626 ms 51.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:09.9909643Z triton_mm_139 0.0632 ms 51.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:41:09.9910474Z SingleProcess AUTOTUNE benchmarking takes 0.3882 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:41:10.9610499Z Autotune Choices Stats: 2025-09-07T09:41:10.9611808Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.3012799918651581, "best_triton_pos": 1, "best_triton_time": 0.3604159951210022, "best_triton_kernel": "triton_mm_4997", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:41:10.9906336Z AUTOTUNE mm(4096x768, 768x32128) 2025-09-07T09:41:10.9906734Z strides: [768, 1], [1, 768] 2025-09-07T09:41:10.9907079Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:10.9907905Z mm 0.3013 ms 100.0% 2025-09-07T09:41:10.9908758Z triton_mm_4997 0.3604 ms 83.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:10.9910183Z triton_mm_4996 0.4110 ms 73.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:10.9911611Z triton_mm_4998 0.4419 ms 68.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:41:10.9913007Z triton_mm_4991 0.4837 ms 62.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:10.9914397Z triton_mm_4993 0.6018 ms 50.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:10.9915783Z triton_mm_4994 0.6042 ms 49.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:10.9917184Z triton_mm_4992 0.6071 ms 49.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:41:10.9919031Z triton_mm_4989 0.6236 ms 48.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:10.9920617Z triton_mm_4990 0.6275 ms 48.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:10.9921776Z SingleProcess AUTOTUNE benchmarking takes 0.7555 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:41:43.7914803Z Autotune Choices Stats: 2025-09-07T09:41:43.7916144Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.2677760124206543, "best_triton_pos": 1, "best_triton_time": 0.3184640109539032, "best_triton_kernel": "triton_mm_5015", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:41:43.8399046Z AUTOTUNE mm(32128x4096, 4096x768) 2025-09-07T09:41:43.8399412Z strides: [1, 32128], [768, 1] 2025-09-07T09:41:43.8399719Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:43.8400019Z mm 0.2678 ms 100.0% 2025-09-07T09:41:43.8402264Z triton_mm_5015 0.3185 ms 84.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:43.8403215Z triton_mm_5017 0.3388 ms 79.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:41:43.8404125Z triton_mm_5016 0.3443 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:43.8405032Z triton_mm_5011 0.4148 ms 64.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:41:43.8405942Z triton_mm_5008 0.4653 ms 57.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:43.8406844Z triton_mm_5010 0.4670 ms 57.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:43.8407890Z triton_mm_5009 0.5120 ms 52.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:43.8408786Z triton_mm_5012 0.5339 ms 50.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:43.8409682Z triton_mm_5013 0.5498 ms 48.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:43.8410472Z SingleProcess AUTOTUNE benchmarking takes 0.7615 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:41:44.4330227Z Autotune Choices Stats: 2025-09-07T09:41:44.4331540Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.03711999952793121, "best_triton_pos": 1, "best_triton_time": 0.040192000567913055, "best_triton_kernel": "triton_mm_5073", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:41:44.4540845Z AUTOTUNE mm(4096x768, 768x3072) 2025-09-07T09:41:44.4541215Z strides: [768, 1], [3072, 1] 2025-09-07T09:41:44.4541517Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:44.4541799Z mm 0.0371 ms 100.0% 2025-09-07T09:41:44.4542567Z triton_mm_5073 0.0402 ms 92.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:44.4543988Z triton_mm_5072 0.0404 ms 91.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:44.4545198Z triton_mm_5074 0.0474 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 2025-09-07T09:41:44.4546183Z triton_mm_5067 0.0514 ms 72.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:44.4547165Z triton_mm_5065 0.0536 ms 69.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:44.4548525Z triton_mm_5066 0.0548 ms 67.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:44.4549509Z triton_mm_5070 0.0584 ms 63.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:44.4550472Z triton_mm_5069 0.0592 ms 62.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:44.4551447Z triton_mm_5071 0.0603 ms 61.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T09:41:44.4552313Z SingleProcess AUTOTUNE benchmarking takes 0.3670 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:41:45.2693773Z Autotune Choices Stats: 2025-09-07T09:41:45.2695209Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.032735999673604965, "best_triton_pos": 1, "best_triton_time": 0.042367998510599136, "best_triton_kernel": "triton_mm_5048", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:41:45.3076697Z AUTOTUNE mm(768x4096, 4096x3072) 2025-09-07T09:41:45.3076984Z strides: [1, 768], [3072, 1] 2025-09-07T09:41:45.3077248Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:45.3077684Z mm 0.0327 ms 100.0% 2025-09-07T09:41:45.3078312Z triton_mm_5048 0.0424 ms 77.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:45.3079366Z triton_mm_5054 0.0496 ms 66.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:45.3080382Z triton_mm_5047 0.0515 ms 63.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:45.3081420Z triton_mm_5049 0.0527 ms 62.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:41:45.3082455Z triton_mm_5051 0.0543 ms 60.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:45.3083414Z triton_mm_5055 0.0565 ms 58.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:41:45.3084326Z triton_mm_5046 0.0591 ms 55.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:45.3085528Z triton_mm_5053 0.0613 ms 53.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:45.3086639Z triton_mm_5050 0.0617 ms 53.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:45.3087581Z SingleProcess AUTOTUNE benchmarking takes 0.3877 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:41:45.8545517Z Autotune Choices Stats: 2025-09-07T09:41:45.8546757Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.03206399828195572, "best_triton_pos": 1, "best_triton_time": 0.04467200115323067, "best_triton_kernel": "triton_mm_5086", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:41:45.8760463Z AUTOTUNE mm(3072x4096, 4096x768) 2025-09-07T09:41:45.8760747Z strides: [1, 3072], [768, 1] 2025-09-07T09:41:45.8761008Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:45.8761256Z mm 0.0321 ms 100.0% 2025-09-07T09:41:45.8761815Z triton_mm_5086 0.0447 ms 71.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:45.8762744Z triton_mm_5092 0.0480 ms 66.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:45.8763652Z triton_mm_5085 0.0518 ms 61.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:45.8764556Z triton_mm_5087 0.0529 ms 60.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:41:45.8765462Z triton_mm_5089 0.0550 ms 58.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:45.8766371Z triton_mm_5093 0.0571 ms 56.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:41:45.8767406Z triton_mm_5084 0.0580 ms 55.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:45.8768319Z triton_mm_5088 0.0588 ms 54.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:45.8769218Z triton_mm_5091 0.0588 ms 54.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:45.8770010Z SingleProcess AUTOTUNE benchmarking takes 0.3761 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:41:46.4826570Z Autotune Choices Stats: 2025-09-07T09:41:46.4828192Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01756799966096878, "best_triton_pos": 1, "best_triton_time": 0.01961600035429001, "best_triton_kernel": "triton_mm_5125", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T09:41:46.5032439Z AUTOTUNE mm(768x4096, 4096x768) 2025-09-07T09:41:46.5032681Z strides: [1, 768], [768, 1] 2025-09-07T09:41:46.5032958Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:46.5033267Z mm 0.0176 ms 100.0% 2025-09-07T09:41:46.5034510Z triton_mm_5125 0.0196 ms 89.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:41:46.5035830Z triton_mm_5131 0.0272 ms 64.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:41:46.5036832Z triton_mm_5121 0.0274 ms 64.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:41:46.5038041Z triton_mm_5124 0.0325 ms 54.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:46.5039031Z triton_mm_5120 0.0329 ms 53.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:41:46.5040013Z triton_mm_5117 0.0342 ms 51.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:41:46.5041011Z triton_mm_5130 0.0362 ms 48.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:46.5041994Z triton_mm_5123 0.0372 ms 47.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:46.5043011Z triton_mm_5127 0.0377 ms 46.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:46.5043792Z SingleProcess AUTOTUNE benchmarking takes 0.2964 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:41:49.4242989Z Autotune Choices Stats: 2025-09-07T09:41:49.4244420Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.25651198625564575, "best_triton_pos": 1, "best_triton_time": 0.3595840036869049, "best_triton_kernel": "triton_mm_5030", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T09:41:49.6085326Z AUTOTUNE mm(4096x32128, 32128x768) 2025-09-07T09:41:49.6085683Z strides: [32128, 1], [768, 1] 2025-09-07T09:41:49.6085960Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:49.6086235Z mm 0.2565 ms 100.0% 2025-09-07T09:41:49.6086861Z triton_mm_5030 0.3596 ms 71.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:41:49.6088063Z triton_mm_5035 0.3695 ms 69.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:49.6089081Z triton_mm_5036 0.4055 ms 63.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:41:49.6090076Z triton_mm_5034 0.4127 ms 62.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:49.6091048Z triton_mm_5027 0.4866 ms 52.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:49.6092021Z triton_mm_5029 0.5028 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 2025-09-07T09:41:49.6093022Z triton_mm_5028 0.5314 ms 48.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:49.6094515Z triton_mm_5031 0.5601 ms 45.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:49.6095772Z triton_mm_5026 0.5901 ms 43.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:41:49.6096566Z SingleProcess AUTOTUNE benchmarking takes 0.9148 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:41:49.9552260Z Autotune Choices Stats: 2025-09-07T09:41:49.9553462Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.03267199918627739, "best_triton_pos": 1, "best_triton_time": 0.039103999733924866, "best_triton_kernel": "triton_mm_5105", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:41:50.0513569Z AUTOTUNE mm(4096x3072, 3072x768) 2025-09-07T09:41:50.0513876Z strides: [3072, 1], [768, 1] 2025-09-07T09:41:50.0514190Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:50.0514500Z mm 0.0327 ms 100.0% 2025-09-07T09:41:50.0515243Z triton_mm_5105 0.0391 ms 83.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:50.0516245Z triton_mm_5111 0.0419 ms 78.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:50.0517624Z triton_mm_5106 0.0462 ms 70.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:41:50.0518632Z triton_mm_5104 0.0467 ms 69.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:50.0519614Z triton_mm_5112 0.0472 ms 69.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:41:50.0520578Z triton_mm_5103 0.0529 ms 61.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:50.0521550Z triton_mm_5107 0.0545 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=3, num_warps=4 2025-09-07T09:41:50.0522531Z triton_mm_5110 0.0548 ms 59.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:50.0523504Z triton_mm_5108 0.0572 ms 57.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:50.0524439Z SingleProcess AUTOTUNE benchmarking takes 0.4404 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:41:50.2785341Z Autotune Choices Stats: 2025-09-07T09:41:50.2786536Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01500799972563982, "best_triton_pos": 1, "best_triton_time": 0.01539199985563755, "best_triton_kernel": "triton_mm_5143", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:41:50.3531876Z AUTOTUNE mm(4096x768, 768x768) 2025-09-07T09:41:50.3532168Z strides: [768, 1], [768, 1] 2025-09-07T09:41:50.3532424Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:50.3532713Z mm 0.0150 ms 100.0% 2025-09-07T09:41:50.3533665Z triton_mm_5143 0.0154 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:50.3534977Z triton_mm_5149 0.0163 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 2025-09-07T09:41:50.3535974Z triton_mm_5142 0.0166 ms 90.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:50.3536959Z triton_mm_5141 0.0179 ms 83.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:50.3538116Z triton_mm_5145 0.0185 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:50.3539107Z triton_mm_5148 0.0185 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 2025-09-07T09:41:50.3540086Z triton_mm_5146 0.0187 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 2025-09-07T09:41:50.3541066Z triton_mm_5150 0.0196 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 2025-09-07T09:41:50.3542066Z triton_mm_5144 0.0204 ms 73.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:41:50.3542945Z SingleProcess AUTOTUNE benchmarking takes 0.3005 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:41:50.6237136Z Autotune Choices Stats: 2025-09-07T09:41:50.6238468Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_5164", "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": 0.05142400041222572, "best_triton_pos": 0} 2025-09-07T09:41:50.8042001Z AUTOTUNE bmm(48x1024x1024, 48x1024x64) 2025-09-07T09:41:50.8042308Z strides: [1048576, 1, 1024], [65536, 64, 1] 2025-09-07T09:41:50.8042610Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:50.8043296Z triton_bmm_5164 0.0514 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:50.8044345Z triton_bmm_5160 0.0516 ms 99.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:50.8045362Z triton_bmm_5168 0.0517 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:41:50.8046381Z triton_bmm_5162 0.0518 ms 99.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:50.8047692Z triton_bmm_5165 0.0520 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:50.8048726Z triton_bmm_5167 0.0521 ms 98.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:50.8049730Z triton_bmm_5158 0.0521 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:41:50.8051024Z triton_bmm_5159 0.0524 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:41:50.8052202Z triton_bmm_5163 0.0530 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:41:50.8052828Z bmm 0.0532 ms 96.6% 2025-09-07T09:41:50.8053290Z SingleProcess AUTOTUNE benchmarking takes 0.4495 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:41:51.1139751Z Autotune Choices Stats: 2025-09-07T09:41:51.1140661Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_5185", "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": 0.04700800031423569, "best_triton_pos": 0} 2025-09-07T09:41:51.2742454Z AUTOTUNE bmm(48x1024x64, 48x64x1024) 2025-09-07T09:41:51.2742783Z strides: [65536, 64, 1], [65536, 1, 64] 2025-09-07T09:41:51.2743084Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:51.2743762Z triton_bmm_5185 0.0470 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:51.2744506Z bmm 0.0481 ms 97.8% 2025-09-07T09:41:51.2745142Z triton_bmm_5178 0.0482 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:51.2746129Z triton_bmm_5182 0.0493 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:51.2747100Z triton_bmm_5177 0.0534 ms 88.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:41:51.2748460Z triton_bmm_5181 0.0548 ms 85.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:41:51.2749481Z triton_bmm_5180 0.0550 ms 85.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:51.2750465Z triton_bmm_5179 0.0564 ms 83.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:51.2751450Z triton_bmm_5183 0.0580 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:51.2752441Z triton_bmm_5187 0.0580 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:41:51.2753306Z SingleProcess AUTOTUNE benchmarking takes 0.4692 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:41:51.5332588Z Autotune Choices Stats: 2025-09-07T09:41:51.5333597Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_5197", "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": 0.05132799968123436, "best_triton_pos": 0} 2025-09-07T09:41:51.7425977Z AUTOTUNE bmm(48x64x1024, 48x1024x1024) 2025-09-07T09:41:51.7426251Z strides: [65536, 1, 64], [1048576, 1024, 1] 2025-09-07T09:41:51.7426518Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:51.7427121Z triton_bmm_5197 0.0513 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:51.7428624Z triton_bmm_5200 0.0516 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:41:51.7429730Z triton_bmm_5201 0.0517 ms 99.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:51.7430640Z triton_bmm_5204 0.0518 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:41:51.7431550Z triton_bmm_5199 0.0519 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:51.7432451Z triton_bmm_5198 0.0520 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:41:51.7433359Z triton_bmm_5195 0.0523 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:41:51.7434269Z triton_bmm_5196 0.0526 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:41:51.7434851Z bmm 0.0534 ms 96.2% 2025-09-07T09:41:51.7435375Z triton_bmm_5194 0.0537 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:41:51.7436160Z SingleProcess AUTOTUNE benchmarking takes 0.4676 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T09:41:52.0238710Z Autotune Choices Stats: 2025-09-07T09:41:52.0239739Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_5216", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.05190400034189224, "best_triton_pos": 0} 2025-09-07T09:41:52.2104915Z AUTOTUNE bmm(48x1024x1024, 48x1024x64) 2025-09-07T09:41:52.2105252Z strides: [1048576, 1024, 1], [65536, 1, 1024] 2025-09-07T09:41:52.2105544Z dtypes: torch.float16, torch.float16 2025-09-07T09:41:52.2106184Z triton_bmm_5216 0.0519 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:52.2107183Z triton_bmm_5212 0.0520 ms 99.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:41:52.2108347Z triton_bmm_5213 0.0520 ms 99.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:41:52.2109337Z triton_bmm_5217 0.0529 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=4, num_warps=4 2025-09-07T09:41:52.2110319Z triton_bmm_5222 0.0530 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:41:52.2111294Z triton_bmm_5221 0.0536 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:52.2111908Z bmm 0.0542 ms 95.8% 2025-09-07T09:41:52.2112469Z triton_bmm_5214 0.0562 ms 92.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:52.2113719Z triton_bmm_5206 0.0573 ms 90.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:41:52.2114880Z triton_bmm_5218 0.0577 ms 89.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:41:52.2115729Z SingleProcess AUTOTUNE benchmarking takes 0.4672 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:42:00.4125532Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 489, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-09-07T09:42:00.4126702Z pred = mod(**cloned_inputs) 2025-09-07T09:42:00.4127636Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward 2025-09-07T09:42:00.4128247Z decoder_outputs = self.decoder( 2025-09-07T09:42:00.4128835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward 2025-09-07T09:42:00.4129418Z layer_outputs = layer_module( 2025-09-07T09:42:00.4138152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:42:00.4138754Z return super().__call__(*args, **kwargs) 2025-09-07T09:42:00.4139304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward 2025-09-07T09:42:00.4139861Z self_attention_outputs = self.layer[0]( 2025-09-07T09:42:00.4140389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward 2025-09-07T09:42:00.4140924Z attention_output = self.SelfAttention( 2025-09-07T09:42:00.4141443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 539, in forward 2025-09-07T09:42:00.4141977Z position_bias = self.compute_bias( 2025-09-07T09:42:00.4142519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 463, in compute_bias 2025-09-07T09:42:00.4143266Z values = self.relative_attention_bias(relative_position_bucket) # shape (query_length, key_length, num_heads) 2025-09-07T09:42:00.4143662Z 2025-09-07T09:42:00.4143665Z 2025-09-07T09:42:01.9626629Z W0907 09:42:01.961000 14845 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-09-07T09:42:35.6851983Z pass 2025-09-07T09:42:42.9055675Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:42:42.9058212Z import pynvml # type: ignore[import] 2025-09-07T09:42:45.3649888Z 2025-09-07T09:42:55.0888665Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:42:55.0889038Z loading model: 0it [00:09, ?it/s] 2025-09-07T09:42:55.0889347Z cuda train hf_T5_large 2025-09-07T09:42:55.1108064Z pass_due_to_skip 2025-09-07T09:42:57.1280855Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:42:57.1281961Z import pynvml # type: ignore[import] 2025-09-07T09:42:59.6600207Z 2025-09-07T09:43:02.2098386Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:43:02.2098706Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:43:02.2098944Z cuda train hf_Whisper 2025-09-07T09:43:11.5816828Z Autotune Choices Stats: 2025-09-07T09:43:11.5819454Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.021376000717282295, "best_triton_pos": 1, "best_triton_time": 0.026655999943614006, "best_triton_kernel": "triton_mm_93", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:43:11.5882207Z AUTOTUNE addmm(6000x1536, 6000x384, 384x1536) 2025-09-07T09:43:11.5882543Z strides: [0, 1], [384, 1], [1, 384] 2025-09-07T09:43:11.5882876Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:43:11.5883224Z bias_addmm 0.0214 ms 100.0% 2025-09-07T09:43:11.5883917Z triton_mm_93 0.0267 ms 80.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:11.5885029Z triton_mm_87 0.0272 ms 78.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:11.5886095Z triton_mm_92 0.0288 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 2025-09-07T09:43:11.5887162Z triton_mm_89 0.0294 ms 72.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:11.5888439Z triton_mm_86 0.0300 ms 71.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:11.5889612Z triton_mm_90 0.0311 ms 68.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:11.5890689Z triton_mm_94 0.0320 ms 66.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:43:11.5891745Z triton_mm_85 0.0326 ms 65.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:11.5892775Z triton_mm_83 0.0344 ms 62.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:43:11.5893689Z SingleProcess AUTOTUNE benchmarking takes 0.3110 seconds and 0.0004 seconds precompiling for 21 choices 2025-09-07T09:43:12.1506860Z Autotune Choices Stats: 2025-09-07T09:43:12.1508697Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011231999844312668, "best_triton_pos": 1, "best_triton_time": 0.01190400030463934, "best_triton_kernel": "triton_mm_11", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:43:12.1534187Z AUTOTUNE mm(6000x384, 384x384) 2025-09-07T09:43:12.1534465Z strides: [384, 1], [1, 384] 2025-09-07T09:43:12.1534784Z dtypes: torch.float16, torch.float16 2025-09-07T09:43:12.1535094Z mm 0.0112 ms 100.0% 2025-09-07T09:43:12.1535739Z triton_mm_11 0.0119 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:12.1536800Z triton_mm_17 0.0130 ms 86.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:12.1537963Z triton_mm_13 0.0131 ms 86.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:12.1539448Z triton_mm_9 0.0131 ms 85.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:12.1540698Z triton_mm_16 0.0136 ms 82.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:12.1541751Z triton_mm_10 0.0136 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:12.1542788Z triton_mm_14 0.0138 ms 81.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:12.1543817Z triton_mm_7 0.0142 ms 78.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:43:12.1544853Z triton_mm_18 0.0152 ms 74.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:43:12.1545776Z SingleProcess AUTOTUNE benchmarking takes 0.2349 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:43:15.3485734Z Autotune Choices Stats: 2025-09-07T09:43:15.3487070Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01894400082528591, "best_triton_pos": 1, "best_triton_time": 0.02393599972128868, "best_triton_kernel": "triton_mm_106", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:43:15.3503833Z AUTOTUNE mm(6000x1536, 1536x384) 2025-09-07T09:43:15.3504092Z strides: [1536, 1], [1, 1536] 2025-09-07T09:43:15.3504346Z dtypes: torch.float16, torch.float16 2025-09-07T09:43:15.3504620Z mm 0.0189 ms 100.0% 2025-09-07T09:43:15.3505247Z triton_mm_106 0.0239 ms 79.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:15.3506250Z triton_mm_112 0.0249 ms 76.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:15.3507225Z triton_mm_113 0.0287 ms 66.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:43:15.3508355Z triton_mm_107 0.0287 ms 65.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:43:15.3509330Z triton_mm_109 0.0312 ms 60.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:15.3510295Z triton_mm_102 0.0316 ms 60.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:43:15.3511261Z triton_mm_105 0.0317 ms 59.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:15.3512222Z triton_mm_104 0.0323 ms 58.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:15.3513198Z triton_mm_108 0.0326 ms 58.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:15.3514044Z SingleProcess AUTOTUNE benchmarking takes 0.2619 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:43:15.6220971Z Autotune Choices Stats: 2025-09-07T09:43:15.6222674Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.010912000201642513, "best_triton_pos": 1, "best_triton_time": 0.011327999643981457, "best_triton_kernel": "triton_mm_463", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8"} 2025-09-07T09:43:15.6240542Z AUTOTUNE addmm(6000x256, 6000x384, 384x256) 2025-09-07T09:43:15.6240910Z strides: [0, 1], [384, 1], [1, 384] 2025-09-07T09:43:15.6241263Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:43:15.6241598Z bias_addmm 0.0109 ms 100.0% 2025-09-07T09:43:15.6242265Z triton_mm_463 0.0113 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:43:15.6243303Z triton_mm_467 0.0115 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:15.6244310Z triton_mm_473 0.0118 ms 92.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:15.6245309Z triton_mm_474 0.0119 ms 91.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:43:15.6246326Z triton_mm_466 0.0122 ms 89.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:15.6247553Z triton_mm_470 0.0122 ms 89.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:15.6248562Z triton_mm_465 0.0128 ms 85.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:15.6249552Z triton_mm_469 0.0130 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=3, num_warps=4 2025-09-07T09:43:15.6250611Z triton_mm_472 0.0134 ms 81.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:15.6251508Z SingleProcess AUTOTUNE benchmarking takes 0.2648 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T09:43:15.7923752Z Autotune Choices Stats: 2025-09-07T09:43:15.7924743Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_485", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1", "best_time": 0.006335999816656113, "best_triton_pos": 0} 2025-09-07T09:43:15.7942955Z AUTOTUNE addmm(4x2, 4x256, 256x2) 2025-09-07T09:43:15.7943231Z strides: [0, 1], [256, 1], [1, 256] 2025-09-07T09:43:15.7943531Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:43:15.7944223Z triton_mm_485 0.0063 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T09:43:15.7945207Z triton_mm_478 0.0067 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T09:43:15.7946175Z triton_mm_484 0.0067 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T09:43:15.7947642Z triton_mm_477 0.0068 ms 93.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T09:43:15.7948772Z triton_mm_481 0.0068 ms 93.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T09:43:15.7949731Z triton_mm_476 0.0070 ms 90.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T09:43:15.7950681Z triton_mm_483 0.0071 ms 89.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T09:43:15.7951627Z triton_mm_482 0.0075 ms 84.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T09:43:15.7952233Z bias_addmm 0.0080 ms 78.9% 2025-09-07T09:43:15.7952810Z triton_mm_480 0.0093 ms 68.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T09:43:15.7953655Z SingleProcess AUTOTUNE benchmarking takes 0.1696 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T09:43:27.1575427Z Autotune Choices Stats: 2025-09-07T09:43:27.1576769Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.019936000928282738, "best_triton_pos": 1, "best_triton_time": 0.022975999861955643, "best_triton_kernel": "triton_mm_564", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:43:27.1669718Z AUTOTUNE mm(6000x384, 384x1536) 2025-09-07T09:43:27.1669996Z strides: [384, 1], [1536, 1] 2025-09-07T09:43:27.1670247Z dtypes: torch.float16, torch.float16 2025-09-07T09:43:27.1670514Z mm 0.0199 ms 100.0% 2025-09-07T09:43:27.1671140Z triton_mm_564 0.0230 ms 86.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:27.1672157Z triton_mm_557 0.0238 ms 83.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:27.1673142Z triton_mm_565 0.0243 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 2025-09-07T09:43:27.1674117Z triton_mm_559 0.0250 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 2025-09-07T09:43:27.1675086Z triton_mm_558 0.0261 ms 76.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:27.1676063Z triton_mm_561 0.0271 ms 73.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:27.1677045Z triton_mm_562 0.0273 ms 73.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:27.1678183Z triton_mm_566 0.0278 ms 71.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:43:27.1679156Z triton_mm_555 0.0316 ms 63.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:43:27.1680009Z SingleProcess AUTOTUNE benchmarking takes 0.5270 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T09:43:27.8537037Z Autotune Choices Stats: 2025-09-07T09:43:27.8539268Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.02505600079894066, "best_triton_pos": 1, "best_triton_time": 0.029888000339269638, "best_triton_kernel": "triton_mm_579", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T09:43:27.8715500Z AUTOTUNE mm(384x6000, 6000x1536) 2025-09-07T09:43:27.8715787Z strides: [1, 384], [1536, 1] 2025-09-07T09:43:27.8716076Z dtypes: torch.float16, torch.float16 2025-09-07T09:43:27.8716369Z mm 0.0251 ms 100.0% 2025-09-07T09:43:27.8717057Z triton_mm_579 0.0299 ms 83.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:43:27.8718310Z triton_mm_575 0.0409 ms 61.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:43:27.8719381Z triton_mm_585 0.0436 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 2025-09-07T09:43:27.8720449Z triton_mm_578 0.0497 ms 50.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:27.8721504Z triton_mm_574 0.0500 ms 50.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:43:27.8722555Z triton_mm_571 0.0524 ms 47.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:43:27.8723616Z triton_mm_584 0.0538 ms 46.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:27.8724775Z triton_mm_577 0.0564 ms 44.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:27.8725762Z triton_mm_581 0.0565 ms 44.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:27.8726607Z SingleProcess AUTOTUNE benchmarking takes 0.3503 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:43:28.2436051Z Autotune Choices Stats: 2025-09-07T09:43:28.2437830Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.02470399998128414, "best_triton_pos": 1, "best_triton_time": 0.029823999851942062, "best_triton_kernel": "triton_mm_617", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T09:43:28.2512973Z AUTOTUNE mm(1536x6000, 6000x384) 2025-09-07T09:43:28.2513316Z strides: [1, 1536], [384, 1] 2025-09-07T09:43:28.2513566Z dtypes: torch.float16, torch.float16 2025-09-07T09:43:28.2513831Z mm 0.0247 ms 100.0% 2025-09-07T09:43:28.2514460Z triton_mm_617 0.0298 ms 82.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:43:28.2515717Z triton_mm_613 0.0413 ms 59.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:43:28.2516805Z triton_mm_623 0.0436 ms 56.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:43:28.2518474Z triton_mm_612 0.0479 ms 51.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:43:28.2519759Z triton_mm_616 0.0483 ms 51.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:28.2520851Z triton_mm_609 0.0524 ms 47.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:43:28.2521921Z triton_mm_622 0.0531 ms 46.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:28.2523079Z triton_mm_615 0.0543 ms 45.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:28.2524271Z triton_mm_619 0.0560 ms 44.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:28.2525177Z SingleProcess AUTOTUNE benchmarking takes 0.3334 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:43:28.6614607Z Autotune Choices Stats: 2025-09-07T09:43:28.6616036Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.015519999898970127, "best_triton_pos": 1, "best_triton_time": 0.020767999812960625, "best_triton_kernel": "triton_mm_708", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T09:43:28.6815896Z AUTOTUNE mm(384x6000, 6000x384) 2025-09-07T09:43:28.6816207Z strides: [1, 384], [384, 1] 2025-09-07T09:43:28.6816468Z dtypes: torch.float16, torch.float16 2025-09-07T09:43:28.6816759Z mm 0.0155 ms 100.0% 2025-09-07T09:43:28.6817549Z triton_mm_708 0.0208 ms 74.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:43:28.6818583Z triton_mm_704 0.0220 ms 70.5% 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 2025-09-07T09:43:28.6819568Z triton_mm_712 0.0280 ms 55.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:43:28.6820562Z triton_mm_718 0.0389 ms 39.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:43:28.6821560Z triton_mm_703 0.0392 ms 39.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:43:28.6822551Z triton_mm_702 0.0406 ms 38.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:43:28.6823525Z triton_mm_707 0.0428 ms 36.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:43:28.6824531Z triton_mm_711 0.0437 ms 35.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:28.6825643Z triton_mm_717 0.0488 ms 31.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:28.6826501Z SingleProcess AUTOTUNE benchmarking takes 0.3295 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:43:29.3292526Z Autotune Choices Stats: 2025-09-07T09:43:29.3294057Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.014911999925971031, "best_triton_pos": 1, "best_triton_time": 0.02051199972629547, "best_triton_kernel": "triton_mm_533", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T09:43:29.3595123Z AUTOTUNE mm(256x6000, 6000x384) 2025-09-07T09:43:29.3595454Z strides: [1, 256], [384, 1] 2025-09-07T09:43:29.3595765Z dtypes: torch.float16, torch.float16 2025-09-07T09:43:29.3596083Z mm 0.0149 ms 100.0% 2025-09-07T09:43:29.3596717Z triton_mm_533 0.0205 ms 72.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:43:29.3598213Z triton_mm_537 0.0219 ms 68.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:43:29.3599247Z triton_mm_541 0.0290 ms 51.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:43:29.3600290Z triton_mm_532 0.0383 ms 38.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:43:29.3601290Z triton_mm_531 0.0403 ms 37.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:43:29.3602272Z triton_mm_536 0.0420 ms 35.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:43:29.3603267Z triton_mm_540 0.0431 ms 34.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:29.3604293Z triton_mm_547 0.0434 ms 34.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:43:29.3605378Z triton_mm_539 0.0490 ms 30.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:29.3606166Z SingleProcess AUTOTUNE benchmarking takes 0.3386 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:43:29.6655506Z Autotune Choices Stats: 2025-09-07T09:43:29.6656646Z {"num_choices": 13, "num_triton_choices": 12, "best_kernel": "triton_mm_507", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.005727999843657017, "best_triton_pos": 0} 2025-09-07T09:43:29.6780509Z AUTOTUNE mm(2x4, 4x256) 2025-09-07T09:43:29.6780773Z strides: [1, 2], [256, 1] 2025-09-07T09:43:29.6781039Z dtypes: torch.float16, torch.float16 2025-09-07T09:43:29.6781725Z triton_mm_507 0.0057 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:43:29.6782736Z triton_mm_499 0.0058 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T09:43:29.6783743Z triton_mm_502 0.0058 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:43:29.6785208Z triton_mm_503 0.0058 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:29.6786424Z triton_mm_498 0.0058 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T09:43:29.6787567Z triton_mm_500 0.0058 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:43:29.6788549Z triton_mm_501 0.0058 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T09:43:29.6789524Z triton_mm_504 0.0058 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:29.6790509Z triton_mm_506 0.0058 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:43:29.6791500Z triton_mm_505 0.0058 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:29.6792361Z SingleProcess AUTOTUNE benchmarking takes 0.1304 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T09:43:30.2226309Z Autotune Choices Stats: 2025-09-07T09:43:30.2227687Z {"num_choices": 13, "num_triton_choices": 12, "best_kernel": "triton_mm_488", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.0055680000223219395, "best_triton_pos": 0} 2025-09-07T09:43:30.2249394Z AUTOTUNE mm(4x2, 2x256) 2025-09-07T09:43:30.2249724Z strides: [2, 1], [256, 1] 2025-09-07T09:43:30.2249985Z dtypes: torch.float16, torch.float16 2025-09-07T09:43:30.2250695Z triton_mm_488 0.0056 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:43:30.2251775Z triton_mm_490 0.0056 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:43:30.2252798Z triton_mm_491 0.0056 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:30.2253799Z triton_mm_495 0.0056 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:43:30.2254899Z triton_mm_494 0.0056 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:43:30.2255949Z triton_mm_487 0.0056 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T09:43:30.2256855Z triton_mm_489 0.0056 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T09:43:30.2257909Z triton_mm_492 0.0056 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:30.2258818Z triton_mm_496 0.0056 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T09:43:30.2260063Z triton_mm_486 0.0057 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T09:43:30.2261044Z SingleProcess AUTOTUNE benchmarking takes 0.1190 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T09:43:30.4179311Z Autotune Choices Stats: 2025-09-07T09:43:30.4180571Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010015999898314476, "best_triton_pos": 1, "best_triton_time": 0.01071999967098236, "best_triton_kernel": "triton_mm_519", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:43:30.4400605Z AUTOTUNE mm(6000x256, 256x384) 2025-09-07T09:43:30.4401010Z strides: [256, 1], [384, 1] 2025-09-07T09:43:30.4401405Z dtypes: torch.float16, torch.float16 2025-09-07T09:43:30.4401832Z mm 0.0100 ms 100.0% 2025-09-07T09:43:30.4402765Z triton_mm_519 0.0107 ms 93.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:30.4404254Z triton_mm_521 0.0108 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:30.4405847Z triton_mm_520 0.0110 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=4, num_warps=8 2025-09-07T09:43:30.4406834Z triton_mm_524 0.0110 ms 91.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:30.4408040Z triton_mm_523 0.0112 ms 89.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:30.4408943Z triton_mm_527 0.0112 ms 89.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:30.4409853Z triton_mm_526 0.0114 ms 87.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:30.4410752Z triton_mm_516 0.0125 ms 80.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:43:30.4411641Z triton_mm_517 0.0125 ms 80.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:43:30.4412424Z SingleProcess AUTOTUNE benchmarking takes 0.2146 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:43:30.6876484Z Autotune Choices Stats: 2025-09-07T09:43:30.6878119Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.018848000094294548, "best_triton_pos": 1, "best_triton_time": 0.023264000192284584, "best_triton_kernel": "triton_mm_597", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:43:30.7050391Z AUTOTUNE mm(6000x1536, 1536x384) 2025-09-07T09:43:30.7050669Z strides: [1536, 1], [384, 1] 2025-09-07T09:43:30.7050956Z dtypes: torch.float16, torch.float16 2025-09-07T09:43:30.7051232Z mm 0.0188 ms 100.0% 2025-09-07T09:43:30.7051834Z triton_mm_597 0.0233 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:30.7052824Z triton_mm_603 0.0244 ms 77.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:30.7054128Z triton_mm_596 0.0263 ms 71.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:30.7055449Z triton_mm_600 0.0280 ms 67.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:30.7056362Z triton_mm_604 0.0284 ms 66.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:43:30.7057200Z triton_mm_598 0.0285 ms 66.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:43:30.7058192Z triton_mm_595 0.0308 ms 61.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:30.7059029Z triton_mm_593 0.0317 ms 59.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:43:30.7059863Z triton_mm_599 0.0323 ms 58.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:30.7060592Z SingleProcess AUTOTUNE benchmarking takes 0.2638 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:43:30.9025953Z Autotune Choices Stats: 2025-09-07T09:43:30.9027166Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010816000401973724, "best_triton_pos": 1, "best_triton_time": 0.011680000461637974, "best_triton_kernel": "triton_mm_635", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:43:30.9247215Z AUTOTUNE mm(6000x384, 384x384) 2025-09-07T09:43:30.9247661Z strides: [384, 1], [384, 1] 2025-09-07T09:43:30.9247943Z dtypes: torch.float16, torch.float16 2025-09-07T09:43:30.9248226Z mm 0.0108 ms 100.0% 2025-09-07T09:43:30.9248859Z triton_mm_635 0.0117 ms 92.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:30.9249859Z triton_mm_634 0.0121 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=4, num_warps=8 2025-09-07T09:43:30.9250857Z triton_mm_641 0.0124 ms 87.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:30.9251842Z triton_mm_633 0.0124 ms 87.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:30.9252812Z triton_mm_638 0.0127 ms 85.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:43:30.9253796Z triton_mm_637 0.0129 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 2025-09-07T09:43:30.9254864Z triton_mm_640 0.0131 ms 82.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:43:30.9255948Z triton_mm_631 0.0140 ms 77.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:43:31.0949689Z triton_mm_642 0.0146 ms 74.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:43:31.0950865Z SingleProcess AUTOTUNE benchmarking takes 0.2190 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:43:36.0505993Z W0907 09:43:36.049000 18455 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-09-07T09:43:44.5876879Z pass 2025-09-07T09:43:48.5159772Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:43:48.5160918Z import pynvml # type: ignore[import] 2025-09-07T09:43:51.0063634Z 2025-09-07T09:43:51.4286292Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:43:51.4286839Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:43:51.4287754Z cuda train hf_distil_whisper 2025-09-07T09:43:51.4291844Z Traceback (most recent call last): 2025-09-07T09:43:51.4292525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T09:43:51.4293188Z ) = runner.load_model( 2025-09-07T09:43:51.4293852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 325, in load_model 2025-09-07T09:43:51.4294561Z benchmark = benchmark_cls( 2025-09-07T09:43:51.4295186Z File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__ 2025-09-07T09:43:51.4295781Z obj = type.__call__(cls, *args, **kwargs) 2025-09-07T09:43:51.4296485Z File "/torchbench/torchbenchmark/models/hf_distil_whisper/__init__.py", line 13, in __init__ 2025-09-07T09:43:51.4297510Z raise NotImplementedError("Training is not implemented.") 2025-09-07T09:43:51.4298110Z NotImplementedError: Training is not implemented. 2025-09-07T09:43:51.4298468Z 2025-09-07T09:43:51.4298603Z model_fail_to_load 2025-09-07T09:43:52.8394616Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:43:52.8395907Z import pynvml # type: ignore[import] 2025-09-07T09:43:55.3314121Z 2025-09-07T09:43:55.9571593Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:43:55.9571946Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:43:55.9572250Z cuda train lennard_jones 2025-09-07T09:44:00.0323618Z Autotune Choices Stats: 2025-09-07T09:44:00.0325154Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_mm_1", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1", "best_time": 0.005663999821990728, "best_triton_pos": 0} 2025-09-07T09:44:00.0351904Z AUTOTUNE mm(4x1, 1x16) 2025-09-07T09:44:00.0352342Z strides: [1, 1], [0, 1] 2025-09-07T09:44:00.0352717Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:00.0353656Z triton_mm_1 0.0057 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T09:44:00.0355128Z triton_mm_0 0.0057 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-07T09:44:00.0356558Z triton_mm_2 0.0057 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T09:44:00.0358360Z triton_mm_3 0.0057 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T09:44:00.0360331Z triton_mm_4 0.0057 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T09:44:00.0361590Z mm 0.0076 ms 75.0% 2025-09-07T09:44:00.0362259Z SingleProcess AUTOTUNE benchmarking takes 0.0660 seconds and 0.0259 seconds precompiling for 6 choices 2025-09-07T09:44:00.3083782Z Autotune Choices Stats: 2025-09-07T09:44:00.3084837Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_mm_9", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1", "best_time": 0.005760000087320805, "best_triton_pos": 0} 2025-09-07T09:44:00.3110024Z AUTOTUNE mm(4x16, 16x16) 2025-09-07T09:44:00.3110285Z strides: [16, 1], [1, 16] 2025-09-07T09:44:00.3110544Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:00.3111277Z triton_mm_9 0.0058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T09:44:00.3112352Z triton_mm_8 0.0058 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T09:44:00.3113398Z triton_mm_6 0.0059 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T09:44:00.3114441Z triton_mm_7 0.0059 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T09:44:00.3115433Z triton_mm_5 0.0060 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-07T09:44:00.3116035Z mm 0.0071 ms 81.4% 2025-09-07T09:44:00.3116483Z SingleProcess AUTOTUNE benchmarking takes 0.0685 seconds and 0.0007 seconds precompiling for 6 choices 2025-09-07T09:44:00.8672373Z Autotune Choices Stats: 2025-09-07T09:44:00.8673407Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_mm_22", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1", "best_time": 0.005919999908655882, "best_triton_pos": 0} 2025-09-07T09:44:00.8694691Z AUTOTUNE addmm(4x1, 4x16, 16x1) 2025-09-07T09:44:00.8695044Z strides: [1, 1], [16, 1], [1, 0] 2025-09-07T09:44:00.8695353Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:44:00.8696063Z triton_mm_22 0.0059 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T09:44:00.8697066Z triton_mm_20 0.0060 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-07T09:44:00.8698457Z triton_mm_21 0.0060 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T09:44:00.8699411Z triton_mm_24 0.0060 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T09:44:00.8700364Z triton_mm_23 0.0061 ms 97.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T09:44:00.8700971Z addmm 0.0096 ms 61.7% 2025-09-07T09:44:00.8701441Z SingleProcess AUTOTUNE benchmarking takes 0.0756 seconds and 0.0002 seconds precompiling for 6 choices 2025-09-07T09:44:02.0641547Z Autotune Choices Stats: 2025-09-07T09:44:02.0667181Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_mm_41", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1", "best_time": 0.005727999843657017, "best_triton_pos": 0} 2025-09-07T09:44:02.0669055Z AUTOTUNE mm(16x4, 4x16) 2025-09-07T09:44:02.0669331Z strides: [1, 16], [16, 1] 2025-09-07T09:44:02.0669633Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:02.0670389Z triton_mm_41 0.0057 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T09:44:02.0671457Z triton_mm_44 0.0057 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T09:44:02.0672502Z triton_mm_40 0.0058 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-07T09:44:02.0673552Z triton_mm_43 0.0058 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T09:44:02.0674603Z triton_mm_42 0.0058 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T09:44:02.0675256Z mm 0.0071 ms 80.3% 2025-09-07T09:44:02.0675734Z SingleProcess AUTOTUNE benchmarking takes 0.0640 seconds and 0.0181 seconds precompiling for 6 choices 2025-09-07T09:44:02.3357729Z Autotune Choices Stats: 2025-09-07T09:44:02.3359439Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_mm_25", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1", "best_time": 0.005632000043988228, "best_triton_pos": 0} 2025-09-07T09:44:02.3380051Z AUTOTUNE mm(4x1, 1x16) 2025-09-07T09:44:02.3380308Z strides: [1, 1], [16, 1] 2025-09-07T09:44:02.3380545Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:02.3381135Z triton_mm_25 0.0056 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-07T09:44:02.3382038Z triton_mm_26 0.0057 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T09:44:02.3382931Z triton_mm_27 0.0057 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T09:44:02.3383816Z triton_mm_29 0.0057 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T09:44:02.3384704Z triton_mm_28 0.0057 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T09:44:02.3385291Z mm 0.0075 ms 74.9% 2025-09-07T09:44:02.3385731Z SingleProcess AUTOTUNE benchmarking takes 0.0590 seconds and 0.0001 seconds precompiling for 6 choices 2025-09-07T09:44:02.5172157Z Autotune Choices Stats: 2025-09-07T09:44:02.5173187Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_mm_35", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1", "best_time": 0.006016000173985958, "best_triton_pos": 0} 2025-09-07T09:44:02.5194570Z AUTOTUNE mm(4x16, 16x16) 2025-09-07T09:44:02.5194807Z strides: [16, 1], [16, 1] 2025-09-07T09:44:02.5195122Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:02.5196266Z triton_mm_35 0.0060 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-07T09:44:02.5197817Z triton_mm_36 0.0060 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T09:44:02.5198819Z triton_mm_37 0.0060 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T09:44:02.5199797Z triton_mm_39 0.0060 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T09:44:02.5200761Z triton_mm_38 0.0061 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T09:44:02.5201369Z mm 0.0069 ms 87.0% 2025-09-07T09:44:02.5201829Z SingleProcess AUTOTUNE benchmarking takes 0.0601 seconds and 0.0002 seconds precompiling for 6 choices 2025-09-07T09:44:02.6188143Z Autotune Choices Stats: 2025-09-07T09:44:02.6189165Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_mm_32", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1", "best_time": 0.0058559998869895935, "best_triton_pos": 0} 2025-09-07T09:44:02.6212179Z AUTOTUNE mm(1x4, 4x16) 2025-09-07T09:44:02.6212421Z strides: [1, 1], [16, 1] 2025-09-07T09:44:02.6212676Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:02.6213330Z triton_mm_32 0.0059 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T09:44:02.6214365Z triton_mm_30 0.0059 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-07T09:44:02.6215567Z triton_mm_33 0.0059 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T09:44:02.6216521Z triton_mm_34 0.0059 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T09:44:02.6217720Z triton_mm_31 0.0059 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T09:44:02.6218326Z mm 0.0065 ms 89.7% 2025-09-07T09:44:02.6218758Z SingleProcess AUTOTUNE benchmarking takes 0.0579 seconds and 0.0001 seconds precompiling for 6 choices 2025-09-07T09:44:02.7743049Z Autotune Choices Stats: 2025-09-07T09:44:02.7744081Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_mm_69", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1", "best_time": 0.005919999908655882, "best_triton_pos": 0} 2025-09-07T09:44:02.7765689Z AUTOTUNE mm(16x4, 4x1) 2025-09-07T09:44:02.7765948Z strides: [1, 16], [1, 1] 2025-09-07T09:44:02.7766205Z dtypes: torch.float16, torch.float16 2025-09-07T09:44:02.7766889Z triton_mm_69 0.0059 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T09:44:02.7768272Z triton_mm_67 0.0060 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T09:44:02.7769314Z triton_mm_65 0.0060 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-07T09:44:02.7770630Z triton_mm_66 0.0060 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T09:44:02.7771811Z triton_mm_68 0.0060 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T09:44:02.7772437Z mm 0.0065 ms 91.1% 2025-09-07T09:44:02.7772897Z SingleProcess AUTOTUNE benchmarking takes 0.0588 seconds and 0.0002 seconds precompiling for 6 choices 2025-09-07T09:44:03.2269474Z W0907 09:44:03.226000 23063 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:44:04.4994320Z pass 2025-09-07T09:44:07.2265780Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:44:07.2267189Z import pynvml # type: ignore[import] 2025-09-07T09:44:09.6686078Z 2025-09-07T09:45:18.9902830Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:45:18.9903166Z loading model: 0it [01:09, ?it/s] 2025-09-07T09:45:18.9903448Z cuda train llava 2025-09-07T09:45:18.9922677Z Traceback (most recent call last): 2025-09-07T09:45:18.9923210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T09:45:18.9923695Z self.model_iter_fn(model, example_inputs) 2025-09-07T09:45:18.9924222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 489, in forward_and_backward_pass 2025-09-07T09:45:18.9924738Z pred = mod(**cloned_inputs) 2025-09-07T09:45:18.9925263Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:45:18.9925828Z return self._call_impl(*args, **kwargs) 2025-09-07T09:45:18.9926328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:45:18.9926816Z return forward_call(*args, **kwargs) 2025-09-07T09:45:18.9927553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T09:45:18.9928062Z output = func(self, *args, **kwargs) 2025-09-07T09:45:18.9928602Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llava/modeling_llava.py", line 436, in forward 2025-09-07T09:45:18.9929136Z outputs = self.model( 2025-09-07T09:45:18.9929638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:45:18.9930163Z return self._call_impl(*args, **kwargs) 2025-09-07T09:45:18.9930650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:45:18.9931145Z return forward_call(*args, **kwargs) 2025-09-07T09:45:18.9931625Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T09:45:18.9932110Z output = func(self, *args, **kwargs) 2025-09-07T09:45:18.9932644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llava/modeling_llava.py", line 289, in forward 2025-09-07T09:45:18.9933188Z outputs = self.language_model( 2025-09-07T09:45:18.9933687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:45:18.9934201Z return self._call_impl(*args, **kwargs) 2025-09-07T09:45:18.9934682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:45:18.9935266Z return forward_call(*args, **kwargs) 2025-09-07T09:45:18.9936155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T09:45:18.9936855Z outputs = func(self, *args, **kwargs) 2025-09-07T09:45:18.9937530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 390, in forward 2025-09-07T09:45:18.9938083Z hidden_states = decoder_layer( 2025-09-07T09:45:18.9938559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T09:45:18.9939058Z return super().__call__(*args, **kwargs) 2025-09-07T09:45:18.9939576Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:45:18.9940093Z return self._call_impl(*args, **kwargs) 2025-09-07T09:45:18.9940548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:45:18.9940988Z return forward_call(*args, **kwargs) 2025-09-07T09:45:18.9941479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward 2025-09-07T09:45:18.9941960Z hidden_states, _ = self.self_attn( 2025-09-07T09:45:18.9942418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:45:18.9942900Z return self._call_impl(*args, **kwargs) 2025-09-07T09:45:18.9943337Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:45:18.9943765Z return forward_call(*args, **kwargs) 2025-09-07T09:45:18.9944228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward 2025-09-07T09:45:18.9944817Z query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin) 2025-09-07T09:45:18.9945460Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb 2025-09-07T09:45:18.9946003Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T09:45:18.9947719Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 79.10 GiB of which 29.88 MiB is free. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 78.42 GiB is allocated by PyTorch, and 11.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-09-07T09:45:18.9949264Z 2025-09-07T09:45:18.9949422Z The above exception was the direct cause of the following exception: 2025-09-07T09:45:18.9949651Z 2025-09-07T09:45:18.9949735Z Traceback (most recent call last): 2025-09-07T09:45:18.9950081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T09:45:18.9950429Z ) = runner.load_model( 2025-09-07T09:45:18.9950782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T09:45:18.9951190Z self.validate_model(model, example_inputs) 2025-09-07T09:45:18.9951603Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T09:45:18.9952015Z raise RuntimeError("Eager run failed") from e 2025-09-07T09:45:18.9952266Z RuntimeError: Eager run failed 2025-09-07T09:45:18.9952408Z 2025-09-07T09:45:18.9952474Z eager_fail_to_run 2025-09-07T09:45:20.5449810Z accuracy pass_rate=57.14% 2025-09-07T09:45:20.5462395Z calls_captured gmean=0.00x mean=612.286x 2025-09-07T09:45:20.5465861Z unique_graphs gmean=0.00x mean=1.571x 2025-09-07T09:45:20.5469464Z graph_breaks gmean=0.00x mean=3.429x 2025-09-07T09:45:20.5473770Z unique_graph_breaks gmean=0.00x mean=2.857x 2025-09-07T09:45:20.5475836Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:45:20.5479259Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:45:20.5482257Z cudagraph_skips gmean=0.00x mean=0.286x 2025-09-07T09:45:20.5483581Z compilation_latency mean=33.874 seconds 2025-09-07T09:45:21.4462768Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *cudagraphs_low_precision-true* ]] 2025-09-07T09:45:21.4464094Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:45:21.4464360Z + for target in "${targets[@]}" 2025-09-07T09:45:21.4464610Z + target_flag=('--performance') 2025-09-07T09:45:21.4464849Z + local target_flag 2025-09-07T09:45:21.4465074Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T09:45:21.4465363Z + target_flag+=(--cold-start-latency) 2025-09-07T09:45:21.4466538Z + [[ 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* ]] 2025-09-07T09:45:21.4468932Z + [[ 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* ]] 2025-09-07T09:45:21.4471095Z + python benchmarks/dynamo/torchbench.py --performance --cold-start-latency --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 9 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance.csv 2025-09-07T09:45:21.9861421Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:45:21.9862595Z import pynvml # type: ignore[import] 2025-09-07T09:45:25.7731068Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:45:25.7732534Z import pynvml # type: ignore[import] 2025-09-07T09:45:28.2672762Z 2025-09-07T09:45:31.4629830Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:45:31.4630149Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:45:31.4630429Z cuda train hf_T5 2025-09-07T09:46:11.5455601Z 2025-09-07T09:46:11.7408485Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:48:01.3142402Z 2025-09-07T09:48:01.6107971Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:51:38.6610432Z 2025-09-07T09:51:39.0239492Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:52:23.8643684Z 2025-09-07T09:52:23.9768768Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:52:42.4142434Z 2025-09-07T09:52:42.5183099Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:55:40.4100418Z 2025-09-07T09:55:40.8045462Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:59:27.5665907Z 2025-09-07T09:59:28.0532914Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:00:11.3546122Z 2025-09-07T10:00:11.4644740Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:00:30.2661745Z 2025-09-07T10:00:30.3694911Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:03:34.7051706Z 2025-09-07T10:03:35.0986936Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:07:20.7261533Z 2025-09-07T10:07:21.2105714Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:08:08.9111203Z 2025-09-07T10:08:09.0213018Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:08:29.3685658Z 2025-09-07T10:08:29.4702372Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:13:24.6459003Z 2025-09-07T10:13:24.9403580Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:22:43.9923451Z 2025-09-07T10:22:44.3229586Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:23:40.4751851Z 2025-09-07T10:23:40.5790572Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:24:04.4720821Z 2025-09-07T10:24:04.5749907Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:28:26.6287686Z 2025-09-07T10:28:27.0734631Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:33:36.2053685Z 2025-09-07T10:33:36.6894309Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:34:43.1838258Z 2025-09-07T10:34:43.2942296Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:35:08.7152194Z 2025-09-07T10:35:08.8184844Z running benchmark: 0% 0/30 [00:00 2025-09-07T11:41:45.5821122Z and t.untyped_storage().data_ptr() not in existing_path_data_ptrs 2025-09-07T11:41:45.5821762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 103, in __torch_function__ 2025-09-07T11:41:45.5822193Z return func(*args, **kwargs) 2025-09-07T11:41:45.5823090Z RuntimeError: Error: accessing tensor output of CUDAGraphs that has been overwritten by a subsequent run. Stack trace: [Could not find stack trace]. To prevent overwriting, clone the tensor outside of torch.compile() or call torch.compiler.cudagraph_mark_step_begin() before each model invocation. 2025-09-07T11:41:45.5824006Z warmup_failed 2025-09-07T11:41:48.0020800Z Run failed with return code: 255 2025-09-07T11:41:48.0021124Z Output: None 2025-09-07T11:41:48.0021313Z Error: None 2025-09-07T11:41:48.5396748Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T11:41:48.5398861Z import pynvml # type: ignore[import] 2025-09-07T11:41:51.0765028Z 2025-09-07T11:42:31.6022561Z loading model: 0it [00:00, ?it/s] 2025-09-07T11:42:31.6022921Z loading model: 0it [00:40, ?it/s] 2025-09-07T11:42:31.6059785Z cuda eval llama_v2_7b_16h 2025-09-07T11:42:46.2644443Z 2025-09-07T11:42:46.3841840Z running benchmark: 0% 0/30 [00:00 2025-09-07T11:51:45.6651460Z and t.untyped_storage().data_ptr() not in existing_path_data_ptrs 2025-09-07T11:51:45.6652303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 103, in __torch_function__ 2025-09-07T11:51:45.6653040Z return func(*args, **kwargs) 2025-09-07T11:51:45.6654609Z RuntimeError: Error: accessing tensor output of CUDAGraphs that has been overwritten by a subsequent run. Stack trace: [Could not find stack trace]. To prevent overwriting, clone the tensor outside of torch.compile() or call torch.compiler.cudagraph_mark_step_begin() before each model invocation. 2025-09-07T11:51:45.6656307Z warmup_failed 2025-09-07T11:51:48.0974123Z Run failed with return code: 255 2025-09-07T11:51:48.0974668Z Output: None 2025-09-07T11:51:48.0975154Z Error: None 2025-09-07T11:51:48.6337872Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T11:51:48.6339809Z import pynvml # type: ignore[import] 2025-09-07T11:51:51.2273698Z 2025-09-07T11:52:31.1103832Z loading model: 0it [00:00, ?it/s] 2025-09-07T11:52:31.1104164Z loading model: 0it [00:39, ?it/s] 2025-09-07T11:52:31.1138746Z cuda eval llama_v2_7b_16h 2025-09-07T11:52:45.8526909Z 2025-09-07T11:52:45.9723848Z running benchmark: 0% 0/30 [00:00 2025-09-07T12:12:23.6515928Z and t.untyped_storage().data_ptr() not in existing_path_data_ptrs 2025-09-07T12:12:23.6516594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 103, in __torch_function__ 2025-09-07T12:12:23.6517153Z return func(*args, **kwargs) 2025-09-07T12:12:23.6518195Z RuntimeError: Error: accessing tensor output of CUDAGraphs that has been overwritten by a subsequent run. Stack trace: [Could not find stack trace]. To prevent overwriting, clone the tensor outside of torch.compile() or call torch.compiler.cudagraph_mark_step_begin() before each model invocation. 2025-09-07T12:12:23.6519114Z warmup_failed 2025-09-07T12:12:26.0095019Z Run failed with return code: 255 2025-09-07T12:12:26.0095339Z Output: None 2025-09-07T12:12:26.0095515Z Error: None 2025-09-07T12:12:26.5237591Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T12:12:26.5238669Z import pynvml # type: ignore[import] 2025-09-07T12:12:29.0764907Z 2025-09-07T12:13:09.0787784Z loading model: 0it [00:00, ?it/s] 2025-09-07T12:13:09.0790327Z loading model: 0it [00:40, ?it/s] 2025-09-07T12:13:09.0831744Z cuda eval llama_v2_7b_16h 2025-09-07T12:13:27.9060077Z 2025-09-07T12:13:28.0305633Z running benchmark: 0% 0/30 [00:00 2025-09-07T12:23:56.9031905Z and t.untyped_storage().data_ptr() not in existing_path_data_ptrs 2025-09-07T12:23:56.9032728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 103, in __torch_function__ 2025-09-07T12:23:56.9033447Z return func(*args, **kwargs) 2025-09-07T12:23:56.9034974Z RuntimeError: Error: accessing tensor output of CUDAGraphs that has been overwritten by a subsequent run. Stack trace: [Could not find stack trace]. To prevent overwriting, clone the tensor outside of torch.compile() or call torch.compiler.cudagraph_mark_step_begin() before each model invocation. 2025-09-07T12:23:56.9036672Z warmup_failed 2025-09-07T12:23:59.6937009Z Run failed with return code: 255 2025-09-07T12:23:59.6937532Z Output: None 2025-09-07T12:23:59.6937751Z Error: None 2025-09-07T12:24:00.2069793Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T12:24:00.2070850Z import pynvml # type: ignore[import] 2025-09-07T12:24:02.7006009Z 2025-09-07T12:24:42.3428857Z loading model: 0it [00:00, ?it/s] 2025-09-07T12:24:42.3429199Z loading model: 0it [00:39, ?it/s] 2025-09-07T12:24:42.3465675Z cuda eval llama_v2_7b_16h 2025-09-07T12:24:57.2796006Z Autotune Choices Stats: 2025-09-07T12:24:57.2797051Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_mm_22", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, 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", "best_time": 0.005888000130653381, "best_triton_pos": 0} 2025-09-07T12:24:57.2824085Z AUTOTUNE mm(64x1, 1x512) 2025-09-07T12:24:57.2824374Z strides: [1, 1], [0, 1] 2025-09-07T12:24:57.2824653Z dtypes: torch.float32, torch.float32 2025-09-07T12:24:57.2825332Z triton_mm_22 0.0059 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:24:57.2826343Z triton_mm_20 0.0059 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:24:57.2827816Z triton_mm_19 0.0061 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:24:57.2828805Z triton_mm_23 0.0062 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:24:57.2830173Z triton_mm_21 0.0063 ms 93.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:24:57.2831268Z triton_mm_24 0.0063 ms 93.4% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:24:57.2832228Z triton_mm_26 0.0063 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:24:57.2833171Z triton_mm_30 0.0063 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:24:57.2834117Z triton_mm_31 0.0063 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T12:24:57.2835058Z triton_mm_25 0.0064 ms 92.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:24:57.2835899Z SingleProcess AUTOTUNE benchmarking takes 0.1839 seconds and 0.0003 seconds precompiling for 16 choices 2025-09-07T12:24:58.3224277Z Autotune Choices Stats: 2025-09-07T12:24:58.3226349Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.07472000271081924, "best_triton_pos": 1, "best_triton_time": 0.07974400371313095, "best_triton_kernel": "triton_mm_16", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, 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"} 2025-09-07T12:24:58.3251150Z AUTOTUNE mm(512x4096, 4096x12288) 2025-09-07T12:24:58.3251578Z strides: [4096, 1], [12288, 1] 2025-09-07T12:24:58.3252015Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-07T12:24:58.3252448Z mm 0.0747 ms 100.0% 2025-09-07T12:24:58.3253415Z triton_mm_16 0.0797 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:24:58.3255164Z triton_mm_18 0.0882 ms 84.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T12:24:58.3256700Z triton_mm_17 0.0904 ms 82.6% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:24:58.3258268Z triton_mm_11 0.1047 ms 71.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:24:58.3259153Z triton_mm_12 0.1068 ms 69.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T12:24:58.3260034Z triton_mm_10 0.1235 ms 60.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T12:24:58.3260907Z triton_mm_9 0.1270 ms 58.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:24:58.3261781Z triton_mm_14 0.1442 ms 51.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T12:24:58.3262652Z triton_mm_8 0.1549 ms 48.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T12:24:58.3263422Z SingleProcess AUTOTUNE benchmarking takes 0.5232 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T12:24:58.6661097Z Autotune Choices Stats: 2025-09-07T12:24:58.6663530Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.03248000144958496, "best_triton_pos": 1, "best_triton_time": 0.03440000116825104, "best_triton_kernel": "triton_mm_52", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T12:24:58.6686941Z AUTOTUNE mm(512x4096, 4096x4096) 2025-09-07T12:24:58.6687178Z strides: [4096, 1], [1, 4096] 2025-09-07T12:24:58.6688103Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-07T12:24:58.6688548Z mm 0.0325 ms 100.0% 2025-09-07T12:24:58.6689500Z triton_mm_52 0.0344 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T12:24:58.6691061Z triton_mm_46 0.0404 ms 80.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T12:24:58.6692578Z triton_mm_45 0.0446 ms 72.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:24:58.6694098Z triton_mm_51 0.0453 ms 71.7% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:24:58.6695806Z triton_mm_41 0.0498 ms 65.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T12:24:58.6697564Z triton_mm_42 0.0540 ms 60.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T12:24:58.6698764Z triton_mm_48 0.0545 ms 59.6% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T12:24:58.6699714Z triton_mm_44 0.0546 ms 59.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T12:24:58.6700587Z triton_mm_43 0.0680 ms 47.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:24:58.6701358Z SingleProcess AUTOTUNE benchmarking takes 0.3427 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T12:24:59.3155576Z Autotune Choices Stats: 2025-09-07T12:24:59.3156774Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.13926400244235992, "best_triton_pos": 1, "best_triton_time": 0.15590399503707886, "best_triton_kernel": "triton_mm_69", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, 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"} 2025-09-07T12:24:59.3182916Z AUTOTUNE mm(512x4096, 4096x22016) 2025-09-07T12:24:59.3183207Z strides: [4096, 1], [22016, 1] 2025-09-07T12:24:59.3183482Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-07T12:24:59.3183763Z mm 0.1393 ms 100.0% 2025-09-07T12:24:59.3184371Z triton_mm_69 0.1559 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:24:59.3185347Z triton_mm_70 0.1567 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:24:59.3186313Z triton_mm_71 0.1680 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T12:24:59.3187761Z triton_mm_65 0.1948 ms 71.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T12:24:59.3188825Z triton_mm_64 0.2208 ms 63.1% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:24:59.3189785Z triton_mm_62 0.2296 ms 60.6% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:24:59.3190723Z triton_mm_63 0.2449 ms 56.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T12:24:59.3191671Z triton_mm_66 0.2546 ms 54.7% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:24:59.3192624Z triton_mm_67 0.2582 ms 53.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T12:24:59.3193465Z SingleProcess AUTOTUNE benchmarking takes 0.6488 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T12:24:59.8468959Z Autotune Choices Stats: 2025-09-07T12:24:59.8470164Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.06835199892520905, "best_triton_pos": 1, "best_triton_time": 0.07427199929952621, "best_triton_kernel": "triton_mm_90", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T12:24:59.8497113Z AUTOTUNE mm(512x11008, 11008x4096) 2025-09-07T12:24:59.8497877Z strides: [11008, 1], [1, 11008] 2025-09-07T12:24:59.8498283Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-07T12:24:59.8498559Z mm 0.0684 ms 100.0% 2025-09-07T12:24:59.8499197Z triton_mm_90 0.0743 ms 92.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T12:24:59.8500228Z triton_mm_84 0.0939 ms 72.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T12:24:59.8501201Z triton_mm_83 0.0988 ms 69.1% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:24:59.8502145Z triton_mm_89 0.1005 ms 68.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:24:59.8503102Z triton_mm_82 0.1288 ms 53.1% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T12:24:59.8504050Z triton_mm_86 0.1503 ms 45.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T12:24:59.8504994Z triton_mm_80 0.1553 ms 44.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T12:24:59.8505983Z triton_mm_81 0.1565 ms 43.7% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:24:59.8506933Z triton_mm_79 0.1605 ms 42.6% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T12:24:59.8508100Z SingleProcess AUTOTUNE benchmarking takes 0.5305 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T12:25:00.6100448Z Autotune Choices Stats: 2025-09-07T12:25:00.6102285Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.18320000171661377, "best_triton_pos": 1, "best_triton_time": 0.20851199328899384, "best_triton_kernel": "triton_mm_1248", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T12:25:00.6130013Z AUTOTUNE mm(512x4096, 4096x32000) 2025-09-07T12:25:00.6130385Z strides: [4096, 1], [1, 4096] 2025-09-07T12:25:00.6130679Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-07T12:25:00.6130981Z mm 0.1832 ms 100.0% 2025-09-07T12:25:00.6131628Z triton_mm_1248 0.2085 ms 87.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:25:00.6132679Z triton_mm_1249 0.2189 ms 83.7% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T12:25:00.6133681Z triton_mm_1243 0.2659 ms 68.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T12:25:00.6134777Z triton_mm_1247 0.2696 ms 68.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:25:00.6135760Z triton_mm_1242 0.2947 ms 62.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:25:00.6136717Z triton_mm_1240 0.3699 ms 49.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:25:00.6138714Z triton_mm_1241 0.3869 ms 47.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T12:25:00.6139622Z triton_mm_1244 0.3966 ms 46.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:25:00.6140521Z triton_mm_1245 0.3969 ms 46.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T12:25:00.6141321Z SingleProcess AUTOTUNE benchmarking takes 0.6902 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T12:25:05.2418969Z 2025-09-07T12:25:05.3678149Z running benchmark: 0% 0/30 [00:00", line 1, in 2025-09-07T12:32:10.9821702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 1593, in wrapped_fn 2025-09-07T12:32:10.9822231Z return tuple(flat_fn(*args)) 2025-09-07T12:32:10.9822683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/utils.py", line 187, in flat_fn 2025-09-07T12:32:10.9823133Z tree_out = fn(*args, **kwargs) 2025-09-07T12:32:10.9823646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_capture_wrappers.py", line 1354, in functional_call 2025-09-07T12:32:10.9824192Z out = mod(*args[params_len:], **kwargs) 2025-09-07T12:32:10.9824647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 843, in module_call_wrapper 2025-09-07T12:32:10.9825195Z return self.call_module(mod, forward, args, kwargs) 2025-09-07T12:32:10.9825704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py", line 1997, in call_module 2025-09-07T12:32:10.9826223Z return Tracer.call_module(self, m, forward, args, kwargs) 2025-09-07T12:32:10.9826708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 560, in call_module 2025-09-07T12:32:10.9827142Z ret_val = forward(*args, **kwargs) 2025-09-07T12:32:10.9827706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 836, in forward 2025-09-07T12:32:10.9828145Z return _orig_module_call(mod, *args, **kwargs) 2025-09-07T12:32:10.9828624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T12:32:10.9829088Z return self._call_impl(*args, **kwargs) 2025-09-07T12:32:10.9829522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T12:32:10.9829959Z return forward_call(*args, **kwargs) 2025-09-07T12:32:10.9830360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 1906, in forward 2025-09-07T12:32:10.9830772Z tree_out = mod(*args, **kwargs) 2025-09-07T12:32:10.9831211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 843, in module_call_wrapper 2025-09-07T12:32:10.9831692Z return self.call_module(mod, forward, args, kwargs) 2025-09-07T12:32:10.9832356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py", line 1997, in call_module 2025-09-07T12:32:10.9832949Z return Tracer.call_module(self, m, forward, args, kwargs) 2025-09-07T12:32:10.9833425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 560, in call_module 2025-09-07T12:32:10.9833862Z ret_val = forward(*args, **kwargs) 2025-09-07T12:32:10.9834285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 836, in forward 2025-09-07T12:32:10.9834724Z return _orig_module_call(mod, *args, **kwargs) 2025-09-07T12:32:10.9835212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T12:32:10.9835679Z return self._call_impl(*args, **kwargs) 2025-09-07T12:32:10.9836130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T12:32:10.9836571Z return forward_call(*args, **kwargs) 2025-09-07T12:32:10.9836998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T12:32:10.9837603Z output = func(self, *args, **kwargs) 2025-09-07T12:32:10.9838082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 460, in forward 2025-09-07T12:32:10.9838590Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T12:32:10.9839070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 843, in module_call_wrapper 2025-09-07T12:32:10.9839631Z return self.call_module(mod, forward, args, kwargs) 2025-09-07T12:32:10.9840133Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py", line 1997, in call_module 2025-09-07T12:32:10.9840650Z return Tracer.call_module(self, m, forward, args, kwargs) 2025-09-07T12:32:10.9841142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 560, in call_module 2025-09-07T12:32:10.9841572Z ret_val = forward(*args, **kwargs) 2025-09-07T12:32:10.9841980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 836, in forward 2025-09-07T12:32:10.9842423Z return _orig_module_call(mod, *args, **kwargs) 2025-09-07T12:32:10.9842894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T12:32:10.9843358Z return self._call_impl(*args, **kwargs) 2025-09-07T12:32:10.9843784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T12:32:10.9844218Z return forward_call(*args, **kwargs) 2025-09-07T12:32:10.9844646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T12:32:10.9845094Z outputs = func(self, *args, **kwargs) 2025-09-07T12:32:10.9845579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 377, in forward 2025-09-07T12:32:10.9846062Z causal_mask = create_causal_mask( 2025-09-07T12:32:10.9846522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 793, in create_causal_mask 2025-09-07T12:32:10.9846984Z causal_mask = mask_interface( 2025-09-07T12:32:10.9847571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 366, in sdpa_mask_recent_torch 2025-09-07T12:32:10.9848199Z causal_mask = _vmap_for_bhqkv(mask_function)(batch_arange, head_arange, cache_position, kv_arange) 2025-09-07T12:32:10.9848761Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py", line 208, in wrapped 2025-09-07T12:32:10.9849166Z return vmap_impl( 2025-09-07T12:32:10.9849677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/vmap.py", line 282, in vmap_impl 2025-09-07T12:32:10.9850181Z return _flat_vmap( 2025-09-07T12:32:10.9850562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/vmap.py", line 432, in _flat_vmap 2025-09-07T12:32:10.9851022Z batched_outputs = func(*batched_inputs, **kwargs) 2025-09-07T12:32:10.9851461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py", line 208, in wrapped 2025-09-07T12:32:10.9851870Z return vmap_impl( 2025-09-07T12:32:10.9852238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/vmap.py", line 282, in vmap_impl 2025-09-07T12:32:10.9852649Z return _flat_vmap( 2025-09-07T12:32:10.9853033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/vmap.py", line 432, in _flat_vmap 2025-09-07T12:32:10.9853465Z batched_outputs = func(*batched_inputs, **kwargs) 2025-09-07T12:32:10.9853903Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py", line 208, in wrapped 2025-09-07T12:32:10.9854312Z return vmap_impl( 2025-09-07T12:32:10.9854675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/vmap.py", line 282, in vmap_impl 2025-09-07T12:32:10.9855152Z return _flat_vmap( 2025-09-07T12:32:10.9855519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/vmap.py", line 432, in _flat_vmap 2025-09-07T12:32:10.9855953Z batched_outputs = func(*batched_inputs, **kwargs) 2025-09-07T12:32:10.9856378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py", line 208, in wrapped 2025-09-07T12:32:10.9856852Z return vmap_impl( 2025-09-07T12:32:10.9857203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/vmap.py", line 282, in vmap_impl 2025-09-07T12:32:10.9857756Z return _flat_vmap( 2025-09-07T12:32:10.9858128Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/vmap.py", line 432, in _flat_vmap 2025-09-07T12:32:10.9858568Z batched_outputs = func(*batched_inputs, **kwargs) 2025-09-07T12:32:10.9859009Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 49, in and_mask 2025-09-07T12:32:10.9859484Z result = result & mask(batch_idx, head_idx, q_idx, kv_idx) 2025-09-07T12:32:10.9859966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 134, in inner_mask 2025-09-07T12:32:10.9860523Z return packed_sequence_mask[batch_idx, q_idx] == packed_sequence_mask[batch_idx, kv_idx] 2025-09-07T12:32:10.9861154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/_trace_wrapped_higher_order_op.py", line 140, in __torch_function__ 2025-09-07T12:32:10.9861664Z return mod_index(args[0], index_args) 2025-09-07T12:32:10.9862073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 591, in apply 2025-09-07T12:32:10.9862510Z return custom_function_call(cls, *args, **kwargs) 2025-09-07T12:32:10.9862981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/autograd_function.py", line 49, in __call__ 2025-09-07T12:32:10.9863476Z return super().__call__(autograd_function, *args, **kwargs) 2025-09-07T12:32:10.9863896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 536, in __call__ 2025-09-07T12:32:10.9864263Z return wrapper() 2025-09-07T12:32:10.9864594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 527, in wrapper 2025-09-07T12:32:10.9864998Z return torch.overrides.handle_torch_function( 2025-09-07T12:32:10.9865456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py", line 1728, in handle_torch_function 2025-09-07T12:32:10.9865962Z result = mode.__torch_function__(public_api, types, args, kwargs) 2025-09-07T12:32:10.9866678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py", line 1409, in __torch_function__ 2025-09-07T12:32:10.9867386Z return func(*args, **kwargs) 2025-09-07T12:32:10.9867819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/autograd_function.py", line 49, in __call__ 2025-09-07T12:32:10.9868312Z return super().__call__(autograd_function, *args, **kwargs) 2025-09-07T12:32:10.9868735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 536, in __call__ 2025-09-07T12:32:10.9869098Z return wrapper() 2025-09-07T12:32:10.9869427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 527, in wrapper 2025-09-07T12:32:10.9869825Z return torch.overrides.handle_torch_function( 2025-09-07T12:32:10.9870275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py", line 1728, in handle_torch_function 2025-09-07T12:32:10.9870776Z result = mode.__torch_function__(public_api, types, args, kwargs) 2025-09-07T12:32:10.9871343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py", line 1479, in __torch_function__ 2025-09-07T12:32:10.9871842Z return func(*args, **kwargs) 2025-09-07T12:32:10.9872260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/autograd_function.py", line 49, in __call__ 2025-09-07T12:32:10.9872764Z return super().__call__(autograd_function, *args, **kwargs) 2025-09-07T12:32:10.9873189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 536, in __call__ 2025-09-07T12:32:10.9873553Z return wrapper() 2025-09-07T12:32:10.9873965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 527, in wrapper 2025-09-07T12:32:10.9874354Z return torch.overrides.handle_torch_function( 2025-09-07T12:32:10.9874812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py", line 1728, in handle_torch_function 2025-09-07T12:32:10.9875329Z result = mode.__torch_function__(public_api, types, args, kwargs) 2025-09-07T12:32:10.9875856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/non_strict_utils.py", line 1066, in __torch_function__ 2025-09-07T12:32:10.9876319Z return func(*args, **kwargs) 2025-09-07T12:32:10.9876727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/autograd_function.py", line 49, in __call__ 2025-09-07T12:32:10.9877211Z return super().__call__(autograd_function, *args, **kwargs) 2025-09-07T12:32:10.9877780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 536, in __call__ 2025-09-07T12:32:10.9878147Z return wrapper() 2025-09-07T12:32:10.9878458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 532, in wrapper 2025-09-07T12:32:10.9878831Z return self.dispatch( 2025-09-07T12:32:10.9879165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 493, in dispatch 2025-09-07T12:32:10.9879569Z assert type(curr_mode) in self.python_key_table, ( 2025-09-07T12:32:10.9880114Z AssertionError: Current active mode not registered 2025-09-07T12:32:10.9880610Z warmup_failed 2025-09-07T12:32:12.4629383Z Run failed with return code: 255 2025-09-07T12:32:12.4629681Z Output: None 2025-09-07T12:32:12.4629876Z Error: None 2025-09-07T12:32:12.9927000Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T12:32:12.9928966Z import pynvml # type: ignore[import] 2025-09-07T12:32:15.4224814Z 2025-09-07T12:33:34.8966029Z loading model: 0it [00:00, ?it/s] 2025-09-07T12:33:34.8966410Z loading model: 0it [01:19, ?it/s] 2025-09-07T12:33:34.9105519Z cuda eval llava 2025-09-07T12:36:16.6302630Z 2025-09-07T12:36:16.7448315Z running benchmark: 0% 0/30 [00:00 2025-09-07T12:45:04.4289013Z and t.untyped_storage().data_ptr() not in existing_path_data_ptrs 2025-09-07T12:45:04.4289522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 103, in __torch_function__ 2025-09-07T12:45:04.4289967Z return func(*args, **kwargs) 2025-09-07T12:45:04.4291014Z RuntimeError: Error: accessing tensor output of CUDAGraphs that has been overwritten by a subsequent run. Stack trace: [Could not find stack trace]. To prevent overwriting, clone the tensor outside of torch.compile() or call torch.compiler.cudagraph_mark_step_begin() before each model invocation. 2025-09-07T12:45:04.4292012Z warmup_failed 2025-09-07T12:45:07.1966625Z Run failed with return code: 255 2025-09-07T12:45:07.1967166Z Output: None 2025-09-07T12:45:07.1967977Z Error: None 2025-09-07T12:45:07.7123876Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T12:45:07.7124930Z import pynvml # type: ignore[import] 2025-09-07T12:45:10.2353392Z 2025-09-07T12:45:50.6240288Z loading model: 0it [00:00, ?it/s] 2025-09-07T12:45:50.6240820Z loading model: 0it [00:40, ?it/s] 2025-09-07T12:45:50.6274819Z cuda eval llama_v2_7b_16h 2025-09-07T12:46:04.4918043Z Autotune Choices Stats: 2025-09-07T12:46:04.4919399Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.06806399673223495, "best_triton_pos": 1, "best_triton_time": 0.08476799726486206, "best_triton_kernel": "triton_mm_128", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T12:46:04.5302457Z AUTOTUNE mm(512x4096, 4096x11008) 2025-09-07T12:46:04.5302902Z strides: [4096, 1], [1, 4096] 2025-09-07T12:46:04.5303167Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-07T12:46:04.5303435Z mm 0.0681 ms 100.0% 2025-09-07T12:46:04.5304060Z triton_mm_128 0.0848 ms 80.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T12:46:04.5305368Z triton_mm_126 0.0875 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:46:04.5306353Z triton_mm_127 0.0900 ms 75.6% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:46:04.5307503Z triton_mm_121 0.0925 ms 73.6% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:46:04.5308483Z triton_mm_122 0.1019 ms 66.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T12:46:04.5309439Z triton_mm_120 0.1278 ms 53.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T12:46:04.5310403Z triton_mm_118 0.1384 ms 49.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T12:46:04.5311368Z triton_mm_124 0.1389 ms 49.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T12:46:04.5312335Z triton_mm_119 0.1400 ms 48.6% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:46:04.5313178Z SingleProcess AUTOTUNE benchmarking takes 0.5502 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T12:46:05.1704463Z Autotune Choices Stats: 2025-09-07T12:46:05.1705470Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_mm_22", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, 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", "best_time": 0.005791999865323305, "best_triton_pos": 0} 2025-09-07T12:46:05.1725611Z AUTOTUNE mm(64x1, 1x512) 2025-09-07T12:46:05.1725876Z strides: [1, 0], [0, 1] 2025-09-07T12:46:05.1726539Z dtypes: torch.float32, torch.float32 2025-09-07T12:46:05.1727724Z triton_mm_22 0.0058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:46:05.1728756Z triton_mm_20 0.0059 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:46:05.1729734Z triton_mm_23 0.0061 ms 94.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:46:05.1730696Z triton_mm_21 0.0062 ms 93.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:46:05.1731656Z triton_mm_19 0.0062 ms 92.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:46:05.1732702Z triton_mm_24 0.0062 ms 92.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:46:05.1733582Z triton_mm_30 0.0063 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:46:05.1734453Z triton_mm_26 0.0063 ms 91.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:46:05.1735561Z triton_mm_31 0.0063 ms 91.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T12:46:05.1736446Z triton_mm_25 0.0063 ms 91.4% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:46:05.1737225Z SingleProcess AUTOTUNE benchmarking takes 0.1808 seconds and 0.0002 seconds precompiling for 16 choices 2025-09-07T12:46:06.8317770Z Autotune Choices Stats: 2025-09-07T12:46:06.8319844Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.032575998455286026, "best_triton_pos": 1, "best_triton_time": 0.034432001411914825, "best_triton_kernel": "triton_mm_18", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T12:46:06.8622158Z AUTOTUNE mm(512x4096, 4096x4096) 2025-09-07T12:46:06.8622627Z strides: [4096, 1], [1, 4096] 2025-09-07T12:46:06.8623164Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-07T12:46:06.8623663Z mm 0.0326 ms 100.0% 2025-09-07T12:46:06.8624275Z triton_mm_18 0.0344 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T12:46:06.8625259Z triton_mm_12 0.0407 ms 80.1% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T12:46:06.8626224Z triton_mm_11 0.0441 ms 73.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:46:06.8627172Z triton_mm_17 0.0451 ms 72.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:46:06.8628254Z triton_mm_7 0.0495 ms 65.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T12:46:06.8629604Z triton_mm_8 0.0540 ms 60.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T12:46:06.8630678Z triton_mm_10 0.0546 ms 59.7% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T12:46:06.8631636Z triton_mm_14 0.0550 ms 59.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T12:46:06.8632588Z triton_mm_9 0.0674 ms 48.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:46:06.8633433Z SingleProcess AUTOTUNE benchmarking takes 0.6745 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T12:46:07.4982640Z Autotune Choices Stats: 2025-09-07T12:46:07.4984480Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.06774400174617767, "best_triton_pos": 1, "best_triton_time": 0.07417599856853485, "best_triton_kernel": "triton_mm_147", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T12:46:07.5008734Z AUTOTUNE mm(512x11008, 11008x4096) 2025-09-07T12:46:07.5009201Z strides: [11008, 1], [1, 11008] 2025-09-07T12:46:07.5009630Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-07T12:46:07.5010076Z mm 0.0677 ms 100.0% 2025-09-07T12:46:07.5011042Z triton_mm_147 0.0742 ms 91.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T12:46:07.5013093Z triton_mm_141 0.0947 ms 71.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T12:46:07.5014422Z triton_mm_140 0.0992 ms 68.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:46:07.5015405Z triton_mm_146 0.1009 ms 67.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:46:07.5016328Z triton_mm_139 0.1287 ms 52.6% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T12:46:07.5017227Z triton_mm_143 0.1504 ms 45.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T12:46:07.5018396Z triton_mm_138 0.1559 ms 43.4% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:46:07.5019285Z triton_mm_137 0.1573 ms 43.1% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T12:46:07.5020174Z triton_mm_136 0.1605 ms 42.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T12:46:07.5020951Z SingleProcess AUTOTUNE benchmarking takes 0.6343 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T12:46:08.2763924Z Autotune Choices Stats: 2025-09-07T12:46:08.2765858Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.18185600638389587, "best_triton_pos": 1, "best_triton_time": 0.21158400177955627, "best_triton_kernel": "triton_mm_2160", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T12:46:08.2974622Z AUTOTUNE mm(512x4096, 4096x32000) 2025-09-07T12:46:08.2975394Z strides: [4096, 1], [1, 4096] 2025-09-07T12:46:08.2975825Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-07T12:46:08.2976265Z mm 0.1819 ms 100.0% 2025-09-07T12:46:08.2977237Z triton_mm_2160 0.2116 ms 85.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:46:08.2979057Z triton_mm_2161 0.2213 ms 82.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T12:46:08.2980612Z triton_mm_2155 0.2633 ms 69.1% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T12:46:08.2982248Z triton_mm_2159 0.2690 ms 67.6% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:46:08.2984044Z triton_mm_2154 0.2935 ms 62.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:46:08.2985050Z triton_mm_2152 0.3732 ms 48.7% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T12:46:08.2986010Z triton_mm_2153 0.3870 ms 47.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T12:46:08.2987090Z triton_mm_2156 0.3979 ms 45.7% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T12:46:08.2988177Z triton_mm_2157 0.3990 ms 45.6% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T12:46:08.2989016Z SingleProcess AUTOTUNE benchmarking takes 0.7034 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T12:46:13.9067724Z 2025-09-07T12:46:14.0262163Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T12:48:24.9998255Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T12:48:25.0013906Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:48:25.0014190Z env: 2025-09-07T12:48:25.0014353Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:48:25.0014594Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:48:25.0015008Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:48:25.0015431Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:48:25.0015791Z ##[endgroup] 2025-09-07T12:48:25.2158260Z + [[ -n '' ]] 2025-09-07T12:48:25.2158557Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T12:48:25.4828356Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T12:48:26.5314463Z Collecting boto3==1.35.33 2025-09-07T12:48:26.5839512Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T12:48:27.0111868Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.1/139.1 KB 303.7 kB/s eta 0:00:00 2025-09-07T12:48:27.7423035Z Collecting psutil==7.0.0 2025-09-07T12:48:27.7512567Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-09-07T12:48:27.8647827Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 278.0/278.0 KB 2.4 MB/s eta 0:00:00 2025-09-07T12:48:27.9640662Z Collecting pynvml==12.0.0 2025-09-07T12:48:27.9819136Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T12:48:28.0948210Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T12:48:28.1030684Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T12:48:28.1458437Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.2/83.2 KB 1.8 MB/s eta 0:00:00 2025-09-07T12:48:29.4978507Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T12:48:29.5067868Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T12:48:30.1207700Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.3/13.3 MB 17.3 MB/s eta 0:00:00 2025-09-07T12:48:30.2430750Z Collecting jmespath<2.0.0,>=0.7.1 2025-09-07T12:48:30.2514155Z Downloading jmespath-1.0.1-py3-none-any.whl (20 kB) 2025-09-07T12:48:30.4727714Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T12:48:30.4817168Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T12:48:30.5625938Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.5/47.5 KB 475.1 kB/s eta 0:00:00 2025-09-07T12:48:30.5692005Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.26.5) 2025-09-07T12:48:30.5699359Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-09-07T12:48:30.8969299Z Installing collected packages: nvidia-ml-py, pynvml, psutil, jmespath, botocore, s3transfer, boto3 2025-09-07T12:48:30.8970781Z Attempting uninstall: nvidia-ml-py 2025-09-07T12:48:30.8974929Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T12:48:30.9011554Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T12:48:30.9037479Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T12:48:32.5662256Z Attempting uninstall: psutil 2025-09-07T12:48:32.5669637Z Found existing installation: psutil 5.9.8 2025-09-07T12:48:32.5839428Z Uninstalling psutil-5.9.8: 2025-09-07T12:48:32.5848972Z Successfully uninstalled psutil-5.9.8 2025-09-07T12:48:34.3461970Z Successfully installed boto3-1.35.33 botocore-1.35.99 jmespath-1.0.1 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-09-07T12:48:34.4505707Z + DEVICE_NAME= 2025-09-07T12:48:34.4506531Z + DEVICE_TYPE= 2025-09-07T12:48:34.4507211Z + command -v nvidia-smi 2025-09-07T12:48:34.4507658Z + python3 -mpip install torch==2.7.1 2025-09-07T12:48:34.4507944Z /usr/bin/nvidia-smi 2025-09-07T12:48:34.7195506Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T12:48:35.4308442Z Collecting torch==2.7.1 2025-09-07T12:48:35.4643565Z Downloading torch-2.7.1-cp310-cp310-manylinux_2_28_x86_64.whl (821.2 MB) 2025-09-07T12:48:54.4306150Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 821.2/821.2 MB 673.1 kB/s eta 0:00:00 2025-09-07T12:48:55.8510742Z Collecting networkx 2025-09-07T12:48:55.8544373Z Downloading networkx-3.4.2-py3-none-any.whl (1.7 MB) 2025-09-07T12:48:56.3767846Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 3.3 MB/s eta 0:00:00 2025-09-07T12:48:56.8153447Z Collecting filelock 2025-09-07T12:48:56.8183919Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-09-07T12:48:57.7042494Z Collecting jinja2 2025-09-07T12:48:57.7070486Z Downloading jinja2-3.1.6-py3-none-any.whl (134 kB) 2025-09-07T12:48:58.1352078Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 134.9/134.9 KB 292.6 kB/s eta 0:00:00 2025-09-07T12:48:58.5653158Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-09-07T12:48:58.5682589Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-09-07T12:49:05.4022992Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 216.6/216.6 MB 1.8 MB/s eta 0:00:00 2025-09-07T12:49:06.0519209Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-09-07T12:49:06.0549358Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-09-07T12:49:06.8297734Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.7/19.7 MB 14.1 MB/s eta 0:00:00 2025-09-07T12:49:07.1244977Z Collecting nvidia-nvtx-cu12==12.6.77 2025-09-07T12:49:07.1285011Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-09-07T12:49:07.4336371Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 89.3/89.3 KB 260.8 kB/s eta 0:00:00 2025-09-07T12:49:07.7552304Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-09-07T12:49:07.7579782Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-09-07T12:49:08.6180933Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 13.0 MB/s eta 0:00:00 2025-09-07T12:49:08.9631120Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-09-07T12:49:08.9660200Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-09-07T12:49:12.6968650Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 158.2/158.2 MB 3.4 MB/s eta 0:00:00 2025-09-07T12:49:13.0626682Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-09-07T12:49:13.0659414Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-09-07T12:49:13.4511786Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 3.0 MB/s eta 0:00:00 2025-09-07T12:49:13.8512616Z Collecting sympy>=1.13.3 2025-09-07T12:49:13.8567613Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-09-07T12:49:14.3132641Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/6.3 MB 13.8 MB/s eta 0:00:00 2025-09-07T12:49:14.3294261Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/frank/.local/lib/python3.10/site-packages (from torch==2.7.1) (4.15.0) 2025-09-07T12:49:14.6981935Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-09-07T12:49:14.7010478Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-09-07T12:49:24.0542085Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 393.1/393.1 MB 1.4 MB/s eta 0:00:00 2025-09-07T12:49:24.7726555Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-09-07T12:49:24.7758447Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-09-07T12:49:28.7225005Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 156.8/156.8 MB 3.2 MB/s eta 0:00:00 2025-09-07T12:49:29.1960009Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-09-07T12:49:29.1989085Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-09-07T12:49:35.5414332Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 200.2/200.2 MB 1.9 MB/s eta 0:00:00 2025-09-07T12:49:36.2046215Z Collecting fsspec 2025-09-07T12:49:36.2076561Z Downloading fsspec-2025.9.0-py3-none-any.whl (199 kB) 2025-09-07T12:49:36.6244168Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.3/199.3 KB 456.2 kB/s eta 0:00:00 2025-09-07T12:49:36.9584232Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-09-07T12:49:36.9620067Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-09-07T12:49:37.3024605Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 897.7/897.7 KB 2.6 MB/s eta 0:00:00 2025-09-07T12:49:37.6033085Z Collecting nvidia-curand-cu12==10.3.7.77 2025-09-07T12:49:37.6061771Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-09-07T12:49:39.6945235Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.3/56.3 MB 6.5 MB/s eta 0:00:00 2025-09-07T12:49:40.0483256Z Collecting nvidia-nccl-cu12==2.26.2 2025-09-07T12:49:40.1181389Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-09-07T12:49:48.0316034Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 201.3/201.3 MB 1.7 MB/s eta 0:00:00 2025-09-07T12:49:48.5981373Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-09-07T12:49:48.6010426Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-09-07T12:50:01.8199891Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 571.0/571.0 MB 970.4 kB/s eta 0:00:00 2025-09-07T12:50:02.9950456Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-09-07T12:50:02.9980522Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-09-07T12:50:03.8857193Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.9/8.9 MB 10.1 MB/s eta 0:00:00 2025-09-07T12:50:04.5398889Z Collecting triton==3.3.1 2025-09-07T12:50:04.5457006Z Downloading triton-3.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-09-07T12:50:08.5875580Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.6/155.6 MB 3.0 MB/s eta 0:00:00 2025-09-07T12:50:09.0052612Z Requirement already satisfied: setuptools>=40.8.0 in /usr/lib/python3/dist-packages (from triton==3.3.1->torch==2.7.1) (59.6.0) 2025-09-07T12:50:09.4268815Z Collecting mpmath<1.4,>=1.1.0 2025-09-07T12:50:09.4300756Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-09-07T12:50:09.4399420Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 536.2/536.2 KB 71.4 MB/s eta 0:00:00 2025-09-07T12:50:09.6138230Z Collecting MarkupSafe>=2.0 2025-09-07T12:50:09.6168085Z Downloading MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20 kB) 2025-09-07T12:50:09.9381698Z Installing collected packages: nvidia-cusparselt-cu12, mpmath, triton, sympy, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, networkx, MarkupSafe, fsspec, filelock, nvidia-cusparse-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, jinja2, nvidia-cusolver-cu12, torch 2025-09-07T12:50:14.0264163Z WARNING: The scripts proton and proton-viewer are installed in '/home/frank/.local/bin' which is not on PATH. 2025-09-07T12:50:14.0264980Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T12:50:17.6117074Z WARNING: The script isympy is installed in '/home/frank/.local/bin' which is not on PATH. 2025-09-07T12:50:17.6118181Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T12:50:52.2159425Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/frank/.local/bin' which is not on PATH. 2025-09-07T12:50:52.2160287Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T12:50:53.3237167Z Successfully installed MarkupSafe-3.0.2 filelock-3.19.1 fsspec-2025.9.0 jinja2-3.1.6 mpmath-1.3.0 networkx-3.4.2 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.5.1.17 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-cusparselt-cu12-0.6.3 nvidia-nccl-cu12-2.26.2 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.6.77 sympy-1.14.0 torch-2.7.1 triton-3.3.1 2025-09-07T12:50:54.0349423Z + echo DEVICE_NAME= 2025-09-07T12:50:54.0350069Z + echo DEVICE_TYPE= 2025-09-07T12:50:54.0834337Z ##[group]Run set -eux 2025-09-07T12:50:54.0834565Z set -eux 2025-09-07T12:50:54.0834739Z  2025-09-07T12:50:54.0834919Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T12:50:54.0835195Z  echo "Missing github-token input" 2025-09-07T12:50:54.0835443Z  exit 1 2025-09-07T12:50:54.0835618Z fi 2025-09-07T12:50:54.0851276Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:50:54.0851580Z env: 2025-09-07T12:50:54.0851747Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:50:54.0852009Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:50:54.0852350Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:50:54.0852796Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:50:54.0853175Z DEVICE_NAME: 2025-09-07T12:50:54.0853345Z DEVICE_TYPE: 2025-09-07T12:50:54.0853709Z GITHUB_TOKEN: *** 2025-09-07T12:50:54.0853896Z ##[endgroup] 2025-09-07T12:50:54.3201384Z + [[ -z *** ]] 2025-09-07T12:50:54.5557982Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T12:50:54.5558332Z with: 2025-09-07T12:50:54.5558743Z github-token: *** 2025-09-07T12:50:54.5558932Z env: 2025-09-07T12:50:54.5559094Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:50:54.5559355Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:50:54.5559709Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:50:54.5560163Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:50:54.5560562Z DEVICE_NAME: 2025-09-07T12:50:54.5560732Z DEVICE_TYPE: 2025-09-07T12:50:54.5560915Z ##[endgroup] 2025-09-07T12:50:54.7946348Z ##[group]Run set -eux 2025-09-07T12:50:54.7946615Z set -eux 2025-09-07T12:50:54.7946814Z  2025-09-07T12:50:54.7947224Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T12:50:54.7963266Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:50:54.7963552Z env: 2025-09-07T12:50:54.7963721Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:50:54.7963977Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:50:54.7964314Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:50:54.7964738Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:50:54.7965092Z DEVICE_NAME: 2025-09-07T12:50:54.7965439Z DEVICE_TYPE: 2025-09-07T12:50:54.7965738Z GITHUB_TOKEN: *** 2025-09-07T12:50:54.7965916Z ##[endgroup] 2025-09-07T12:50:55.0296681Z + python3 /home/frank/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525296438 i-0d3ed1ff3ccbeec77-1006 2025-09-07T12:50:55.8663913Z setting job-id=49775781860 2025-09-07T12:50:55.8664365Z setting job-name=test-weekly / test (inductor_torchbench_perf_cuda_h100, 5, 9, linux.aws.h100) 2025-09-07T12:50:55.9614545Z ##[group]Run set -eux 2025-09-07T12:50:55.9614758Z set -eux 2025-09-07T12:50:55.9615048Z  2025-09-07T12:50:55.9615215Z if [[ -n "" ]]; then 2025-09-07T12:50:55.9615417Z  source "" 2025-09-07T12:50:55.9615588Z fi 2025-09-07T12:50:55.9615741Z  2025-09-07T12:50:55.9616037Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T12:50:55.9616425Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T12:50:55.9616689Z  --repo "${REPO}" \ 2025-09-07T12:50:55.9616912Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T12:50:55.9617163Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T12:50:55.9617839Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T12:50:55.9618113Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T12:50:55.9618373Z  --job-id "${JOB_ID}" \ 2025-09-07T12:50:55.9618715Z  --job-name "${JOB_NAME}" 2025-09-07T12:50:55.9633236Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:50:55.9633519Z env: 2025-09-07T12:50:55.9633680Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:50:55.9633933Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:50:55.9634265Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:50:55.9634688Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:50:55.9635047Z DEVICE_NAME: 2025-09-07T12:50:55.9635223Z DEVICE_TYPE: 2025-09-07T12:50:55.9635390Z SCHEMA_VERSION: v3 2025-09-07T12:50:55.9635575Z REPO: pytorch/pytorch 2025-09-07T12:50:55.9635766Z HEAD_BRANCH: refs/heads/main 2025-09-07T12:50:55.9636006Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T12:50:55.9636259Z WORKFLOW_RUN_ID: 17525296438 2025-09-07T12:50:55.9636461Z RUN_ATTEMPT: 1 2025-09-07T12:50:55.9636638Z JOB_ID: 49775781860 2025-09-07T12:50:55.9636948Z JOB_NAME: test-weekly / test (inductor_torchbench_perf_cuda_h100, 5, 9, linux.aws.h100) 2025-09-07T12:50:55.9637422Z ##[endgroup] 2025-09-07T12:50:56.1986393Z + [[ -n '' ]] 2025-09-07T12:50:56.1988161Z + python3 /home/frank/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 93fb23d6fae7c4e82c4239a1033e522088742634 --workflow-id 17525296438 --run-attempt 1 --job-id 49775781860 --job-name 'test-weekly / test (inductor_torchbench_perf_cuda_h100, 5, 9, linux.aws.h100)' 2025-09-07T12:50:56.4314351Z ##[group]Run set -eux 2025-09-07T12:50:56.4314570Z set -eux 2025-09-07T12:50:56.4314739Z  2025-09-07T12:50:56.4314909Z if [[ -n "" ]]; then 2025-09-07T12:50:56.4315113Z  source "" 2025-09-07T12:50:56.4315287Z fi 2025-09-07T12:50:56.4315439Z  2025-09-07T12:50:56.4315753Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T12:50:56.4330107Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:50:56.4330405Z env: 2025-09-07T12:50:56.4330567Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:50:56.4330815Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:50:56.4331151Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:50:56.4331573Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:50:56.4332086Z DEVICE_NAME: 2025-09-07T12:50:56.4332245Z DEVICE_TYPE: 2025-09-07T12:50:56.4332405Z ##[endgroup] 2025-09-07T12:50:56.6675356Z + [[ -n '' ]] 2025-09-07T12:50:56.6675963Z + python3 /home/frank/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T12:50:57.4164576Z /home/frank/.local/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-09-07T12:50:57.4165734Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-09-07T12:50:59.0486767Z ##[group]Run set -eux 2025-09-07T12:50:59.0487000Z set -eux 2025-09-07T12:50:59.0487178Z  2025-09-07T12:50:59.0487537Z # TODO (huydhn): Implement this part 2025-09-07T12:50:59.0487857Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T12:50:59.0503522Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:50:59.0503814Z env: 2025-09-07T12:50:59.0503979Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:50:59.0504237Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:50:59.0504822Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:50:59.0505264Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:50:59.0505762Z DEVICE_NAME: 2025-09-07T12:50:59.0505926Z DEVICE_TYPE: 2025-09-07T12:50:59.0506089Z ##[endgroup] 2025-09-07T12:50:59.1421611Z + echo 'dependencies={}' 2025-09-07T12:50:59.2873549Z ##[group]Run set -eux 2025-09-07T12:50:59.2873802Z set -eux 2025-09-07T12:50:59.2873994Z  2025-09-07T12:50:59.2874178Z if [[ -n "" ]]; then 2025-09-07T12:50:59.2874413Z  source "" 2025-09-07T12:50:59.2874623Z fi 2025-09-07T12:50:59.2874797Z  2025-09-07T12:50:59.2875029Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T12:50:59.2875429Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T12:50:59.2875807Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T12:50:59.2876111Z  exit 0 2025-09-07T12:50:59.2876302Z fi 2025-09-07T12:50:59.2891123Z  2025-09-07T12:50:59.2891330Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T12:50:59.2891720Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T12:50:59.2892193Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T12:50:59.2892544Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T12:50:59.2892855Z  --runners "${RUNNER_INFO}" \ 2025-09-07T12:50:59.2893111Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T12:50:59.2893385Z  --dry-run 2025-09-07T12:50:59.2893573Z else 2025-09-07T12:50:59.2893853Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T12:50:59.2894259Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T12:50:59.2894576Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T12:50:59.2894827Z  --runners "${RUNNER_INFO}" \ 2025-09-07T12:50:59.2895159Z  --dependencies "${DEPENDENCIES}" 2025-09-07T12:50:59.2895394Z fi 2025-09-07T12:50:59.2909849Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:50:59.2910139Z env: 2025-09-07T12:50:59.2910301Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:50:59.2910551Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:50:59.2910879Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:50:59.2911292Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:50:59.2911657Z DEVICE_NAME: 2025-09-07T12:50:59.2911828Z DEVICE_TYPE: 2025-09-07T12:50:59.2912177Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T12:50:59.2912396Z DRY_RUN: false 2025-09-07T12:50:59.2913317Z BENCHMARK_METADATA: {"timestamp": 1757249456, "schema_version": "v3", "name": "test-weekly / test (inductor_torchbench_perf_cuda_h100, 5, 9, linux.aws.h100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525296438, "run_attempt": 1, "job_id": 49775781860} 2025-09-07T12:50:59.2914629Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 192, "avail_mem_in_gb": 1999, "extra_info": {"hostname": "0933e9e7e45b"}, "name": "cuda", "type": "NVIDIA H100 80GB HBM3", "gpu_count": 1, "avail_gpu_mem_in_gb": 79}] 2025-09-07T12:50:59.2915188Z DEPENDENCIES: {} 2025-09-07T12:50:59.2915362Z ##[endgroup] 2025-09-07T12:50:59.4209747Z + [[ -n '' ]] 2025-09-07T12:50:59.4209956Z + [[ ! -d test/test-reports ]] 2025-09-07T12:50:59.4210187Z + [[ false == \t\r\u\e ]] 2025-09-07T12:50:59.4212572Z + python3 /home/frank/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1757249456, "schema_version": "v3", "name": "test-weekly / test (inductor_torchbench_perf_cuda_h100, 5, 9, linux.aws.h100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525296438, "run_attempt": 1, "job_id": 49775781860}' --runners '[{"cpu_info": "x86_64", "cpu_count": 192, "avail_mem_in_gb": 1999, "extra_info": {"hostname": "0933e9e7e45b"}, "name": "cuda", "type": "NVIDIA H100 80GB HBM3", "gpu_count": 1, "avail_gpu_mem_in_gb": 79}]' --dependencies '{}' 2025-09-07T12:50:59.5379107Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_dynamic_torchbench_amp_training_cuda_h100_accuracy.json 2025-09-07T12:50:59.5732610Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T12:50:59.7494881Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.json 2025-09-07T12:50:59.8427045Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.json 2025-09-07T12:50:59.9461350Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:51:00.0558463Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:51:00.1776470Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:51:00.2643037Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_dynamic_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:51:00.3605452Z INFO:root:Upload test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_max_autotune_torchbench_amp_training_cuda_h100_accuracy.json 2025-09-07T12:51:00.4495132Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance.json 2025-09-07T12:51:00.5500953Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:51:00.6388068Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance.json 2025-09-07T12:51:00.7828508Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance.json 2025-09-07T12:51:00.8839528Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:51:00.9901456Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:51:01.0735056Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:51:01.1720907Z INFO:root:Upload test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:51:01.2657161Z INFO:root:Upload test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:51:01.3618776Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:51:01.4909851Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:51:01.6189502Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:51:01.7285229Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:51:01.8631492Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_dynamic_torchbench_amp_training_cuda_h100_performance.json 2025-09-07T12:51:01.9653393Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:51:02.0663461Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:51:02.1655651Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:51:02.2841510Z INFO:root:Upload test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:51:02.3726001Z INFO:root:Upload test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:51:02.4684458Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:51:02.5643001Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:51:02.6993600Z INFO:root:Upload test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:51:02.8050433Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:51:02.9200584Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:51:03.0373093Z INFO:root:Upload test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:51:03.1427001Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T12:51:03.3344857Z INFO:root:Upload test/test-reports/inductor_export_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_export_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:51:03.6050069Z INFO:root:Upload test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T12:51:03.7297893Z INFO:root:Upload test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance.json 2025-09-07T12:51:03.8483454Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:51:03.9824155Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_accuracy.json 2025-09-07T12:51:04.0903721Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781860/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T12:51:04.3181087Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T12:51:04.3181429Z cat test/**/*_toprint.log || true 2025-09-07T12:51:04.3196774Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:51:04.3197066Z env: 2025-09-07T12:51:04.3197242Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:51:04.3197653Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:51:04.3198000Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:51:04.3198417Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:51:04.3198795Z DEVICE_NAME: 2025-09-07T12:51:04.3198970Z DEVICE_TYPE: 2025-09-07T12:51:04.3199135Z ##[endgroup] 2025-09-07T12:51:04.5661603Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T12:51:04.7939051Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T12:51:04.7939352Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T12:51:04.7954007Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:51:04.7954297Z env: 2025-09-07T12:51:04.7954459Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:51:04.7954702Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:51:04.7955030Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:51:04.7955461Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:51:04.7955831Z DEVICE_NAME: 2025-09-07T12:51:04.7956006Z DEVICE_TYPE: 2025-09-07T12:51:04.7956176Z MONITOR_SCRIPT_PID: 7865 2025-09-07T12:51:04.7956362Z ##[endgroup] 2025-09-07T12:51:05.0401771Z Prepare all required actions 2025-09-07T12:51:05.0402138Z Getting action download info 2025-09-07T12:51:05.1752928Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T12:51:06.2940008Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T12:51:09.7343629Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T12:51:09.7343922Z with: 2025-09-07T12:51:09.7344246Z file-suffix: test-inductor_torchbench_perf_cuda_h100-5-9-linux.aws.h100_49775781860 2025-09-07T12:51:09.7344657Z s3-bucket: gha-artifacts 2025-09-07T12:51:09.7344869Z env: 2025-09-07T12:51:09.7345037Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:51:09.7345303Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:51:09.7345831Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:51:09.7346322Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:51:09.7346730Z DEVICE_NAME: 2025-09-07T12:51:09.7346902Z DEVICE_TYPE: 2025-09-07T12:51:09.7347075Z ##[endgroup] 2025-09-07T12:51:09.9316366Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T12:51:09.9316773Z # Remove any previous test jsons if they exist 2025-09-07T12:51:09.9317096Z rm -f test-jsons-*.zip 2025-09-07T12:51:09.9317786Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T12:51:09.9332952Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:51:09.9333240Z env: 2025-09-07T12:51:09.9333402Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:51:09.9333650Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:51:09.9333970Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:51:09.9334392Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:51:09.9334760Z DEVICE_NAME: 2025-09-07T12:51:09.9335017Z DEVICE_TYPE: 2025-09-07T12:51:09.9335308Z FILE_SUFFIX: test-inductor_torchbench_perf_cuda_h100-5-9-linux.aws.h100_49775781860 2025-09-07T12:51:09.9335636Z ##[endgroup] 2025-09-07T12:51:10.1495694Z adding: test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T12:51:10.1504285Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T12:51:10.1513117Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T12:51:10.1581446Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:51:10.1598738Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:51:10.1614456Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:51:10.1655616Z adding: test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:51:10.1664710Z adding: test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T12:51:10.1677069Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T12:51:10.1703091Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:51:10.1715468Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T12:51:10.1728194Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T12:51:10.1802448Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:51:10.1816784Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:51:10.1840442Z adding: test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:51:10.1863718Z adding: test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:51:10.1878757Z adding: test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:51:10.1944123Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:51:10.2009357Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:51:10.2083238Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:51:10.2108236Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:51:10.2120915Z adding: test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T12:51:10.2136342Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:51:10.2159887Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:51:10.2222277Z adding: test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:51:10.2241025Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T12:51:10.2279632Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:51:10.2296638Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:51:10.2312072Z adding: test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:51:10.2386932Z adding: test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:51:10.2425650Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:51:10.2448883Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:51:10.2495232Z adding: test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:51:10.2518247Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T12:51:10.2535083Z adding: test/test-reports/inductor_export_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:51:10.2549176Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T12:51:10.2561878Z adding: test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T12:51:10.2603356Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:51:10.2611856Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T12:51:10.2653506Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T12:51:10.3742024Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T12:51:10.3742431Z # Remove any previous test reports if they exist 2025-09-07T12:51:10.3742764Z rm -f test-reports-*.zip 2025-09-07T12:51:10.3743171Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T12:51:10.3759269Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:51:10.3759580Z env: 2025-09-07T12:51:10.3759934Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:51:10.3760194Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:51:10.3760545Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:51:10.3760994Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:51:10.3761373Z DEVICE_NAME: 2025-09-07T12:51:10.3761548Z DEVICE_TYPE: 2025-09-07T12:51:10.3761865Z FILE_SUFFIX: test-inductor_torchbench_perf_cuda_h100-5-9-linux.aws.h100_49775781860 2025-09-07T12:51:10.3762205Z ##[endgroup] 2025-09-07T12:51:10.5763131Z adding: test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T12:51:10.5764068Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T12:51:10.5764832Z adding: test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_accuracy.csv (deflated 50%) 2025-09-07T12:51:10.5765629Z adding: test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T12:51:10.5766447Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 55%) 2025-09-07T12:51:10.5767408Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T12:51:10.5768486Z adding: test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T12:51:10.5769369Z adding: test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T12:51:10.5770288Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T12:51:10.5771141Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 50%) 2025-09-07T12:51:10.5772006Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T12:51:10.5772842Z adding: test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance.csv (deflated 49%) 2025-09-07T12:51:10.5773602Z adding: test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 50%) 2025-09-07T12:51:10.5774531Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T12:51:10.5775584Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T12:51:10.5776393Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_accuracy.csv (deflated 50%) 2025-09-07T12:51:10.5777500Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T12:51:10.5778368Z adding: test/test-reports/inductor_cudagraphs_low_precision_torchbench_quant_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T12:51:10.5779160Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T12:51:10.5779882Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance.csv (deflated 49%) 2025-09-07T12:51:10.5780550Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T12:51:10.5781257Z adding: test/test-reports/inductor_cudagraphs_low_precision_torchbench_quant_inference_cuda_h100_performance.csv (deflated 50%) 2025-09-07T12:51:10.5782110Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T12:51:10.5782825Z adding: test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_performance.csv (deflated 49%) 2025-09-07T12:51:10.5783470Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T12:51:10.5784241Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T12:51:10.5784984Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance.csv (deflated 49%) 2025-09-07T12:51:10.5785646Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.csv (deflated 50%) 2025-09-07T12:51:10.5786380Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 50%) 2025-09-07T12:51:10.5787131Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 55%) 2025-09-07T12:51:10.5787921Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T12:51:10.5788600Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 50%) 2025-09-07T12:51:10.5789427Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T12:51:10.5790126Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance.csv (deflated 49%) 2025-09-07T12:51:10.5790783Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 61%) 2025-09-07T12:51:10.5791494Z adding: test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T12:51:10.5792177Z adding: test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_accuracy.csv (deflated 50%) 2025-09-07T12:51:10.5792868Z adding: test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T12:51:10.5793575Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 50%) 2025-09-07T12:51:10.5794226Z adding: test/test-reports/inductor_export_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 56%) 2025-09-07T12:51:10.5795068Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.csv (deflated 50%) 2025-09-07T12:51:10.5795708Z adding: test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T12:51:10.7930440Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T12:51:10.7930838Z # Remove any previous usage logs if they exist 2025-09-07T12:51:10.7931148Z rm -f logs-*.zip 2025-09-07T12:51:10.7931620Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T12:51:10.7932052Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T12:51:10.7946295Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:51:10.7946595Z env: 2025-09-07T12:51:10.7946762Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:51:10.7947007Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:51:10.7947506Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:51:10.7947949Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:51:10.7948324Z DEVICE_NAME: 2025-09-07T12:51:10.7948502Z DEVICE_TYPE: 2025-09-07T12:51:10.7948806Z FILE_SUFFIX: test-inductor_torchbench_perf_cuda_h100-5-9-linux.aws.h100_49775781860 2025-09-07T12:51:10.7949280Z ##[endgroup] 2025-09-07T12:51:11.0288511Z adding: usage_log.txt (deflated 92%) 2025-09-07T12:51:11.0309093Z 2025-09-07T12:51:11.0309462Z zip error: Nothing to do! (logs-test-inductor_torchbench_perf_cuda_h100-5-9-linux.aws.h100_49775781860.zip) 2025-09-07T12:51:11.2554684Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T12:51:11.2555147Z # Remove any previous debugging artifacts if they exist 2025-09-07T12:51:11.2555491Z rm -f debug-*.zip 2025-09-07T12:51:11.2555730Z if [ -d 'test/debug' ]; then 2025-09-07T12:51:11.2556054Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T12:51:11.2556351Z fi 2025-09-07T12:51:11.2570468Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:51:11.2570751Z env: 2025-09-07T12:51:11.2570906Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:51:11.2571159Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:51:11.2571502Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:51:11.2571934Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:51:11.2572307Z DEVICE_NAME: 2025-09-07T12:51:11.2572474Z DEVICE_TYPE: 2025-09-07T12:51:11.2572777Z FILE_SUFFIX: test-inductor_torchbench_perf_cuda_h100-5-9-linux.aws.h100_49775781860 2025-09-07T12:51:11.2573263Z ##[endgroup] 2025-09-07T12:51:11.5422528Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T12:51:11.5422772Z with: 2025-09-07T12:51:11.5422942Z s3-bucket: gha-artifacts 2025-09-07T12:51:11.5423189Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:51:11.5423449Z retention-days: 14 2025-09-07T12:51:11.5423629Z if-no-files-found: warn 2025-09-07T12:51:11.5423836Z path: test-jsons-*.zip 2025-09-07T12:51:11.5424032Z name: artifact 2025-09-07T12:51:11.5424204Z region: us-east-1 2025-09-07T12:51:11.5424362Z env: 2025-09-07T12:51:11.5424523Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:51:11.5424772Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:51:11.5425105Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:51:11.5425538Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:51:11.5425910Z DEVICE_NAME: 2025-09-07T12:51:11.5426080Z DEVICE_TYPE: 2025-09-07T12:51:11.5426246Z ##[endgroup] 2025-09-07T12:51:11.8402025Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T12:51:11.8402398Z With the provided path, there will be 1 file uploaded 2025-09-07T12:51:11.8402768Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:51:11.8411084Z Starting upload of test-jsons-test-inductor_torchbench_perf_cuda_h100-5-9-linux.aws.h100_49775781860.zip 2025-09-07T12:51:12.0166486Z Finished upload of test-jsons-test-inductor_torchbench_perf_cuda_h100-5-9-linux.aws.h100_49775781860.zip 2025-09-07T12:51:12.2475854Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T12:51:12.2476173Z with: 2025-09-07T12:51:12.2476363Z s3-bucket: gha-artifacts 2025-09-07T12:51:12.2476636Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:51:12.2477172Z retention-days: 14 2025-09-07T12:51:12.2477559Z if-no-files-found: error 2025-09-07T12:51:12.2477799Z path: test-reports-*.zip 2025-09-07T12:51:12.2478041Z name: artifact 2025-09-07T12:51:12.2478248Z region: us-east-1 2025-09-07T12:51:12.2478445Z env: 2025-09-07T12:51:12.2478625Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:51:12.2478924Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:51:12.2479324Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:51:12.2479777Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:51:12.2480149Z DEVICE_NAME: 2025-09-07T12:51:12.2480327Z DEVICE_TYPE: 2025-09-07T12:51:12.2480502Z ##[endgroup] 2025-09-07T12:51:12.5386180Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T12:51:12.5387036Z With the provided path, there will be 1 file uploaded 2025-09-07T12:51:12.5387882Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:51:12.5394957Z Starting upload of test-reports-test-inductor_torchbench_perf_cuda_h100-5-9-linux.aws.h100_49775781860.zip 2025-09-07T12:51:12.6625342Z Finished upload of test-reports-test-inductor_torchbench_perf_cuda_h100-5-9-linux.aws.h100_49775781860.zip 2025-09-07T12:51:12.7196220Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T12:51:12.7196649Z with: 2025-09-07T12:51:12.7196926Z s3-bucket: gha-artifacts 2025-09-07T12:51:12.7197513Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:51:12.7197951Z retention-days: 14 2025-09-07T12:51:12.7198285Z if-no-files-found: ignore 2025-09-07T12:51:12.7198636Z path: logs-*.zip 2025-09-07T12:51:12.7198933Z name: artifact 2025-09-07T12:51:12.7199211Z region: us-east-1 2025-09-07T12:51:12.7199498Z env: 2025-09-07T12:51:12.7199771Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:51:12.7200189Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:51:12.7200766Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:51:12.7201469Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:51:12.7202100Z DEVICE_NAME: 2025-09-07T12:51:12.7202377Z DEVICE_TYPE: 2025-09-07T12:51:12.7202815Z ##[endgroup] 2025-09-07T12:51:13.0158879Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T12:51:13.0159273Z With the provided path, there will be 1 file uploaded 2025-09-07T12:51:13.0159651Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:51:13.0167816Z Starting upload of logs-test-inductor_torchbench_perf_cuda_h100-5-9-linux.aws.h100_49775781860.zip 2025-09-07T12:51:13.1273013Z Finished upload of logs-test-inductor_torchbench_perf_cuda_h100-5-9-linux.aws.h100_49775781860.zip 2025-09-07T12:51:13.2785265Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T12:51:13.2785554Z with: 2025-09-07T12:51:13.2785756Z s3-bucket: gha-artifacts 2025-09-07T12:51:13.2786016Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T12:51:13.2786302Z retention-days: 14 2025-09-07T12:51:13.2786501Z if-no-files-found: ignore 2025-09-07T12:51:13.2786715Z path: debug-*.zip 2025-09-07T12:51:13.2786902Z name: artifact 2025-09-07T12:51:13.2787088Z region: us-east-1 2025-09-07T12:51:13.2787472Z env: 2025-09-07T12:51:13.2787650Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:51:13.2787920Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:51:13.2788282Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:51:13.2788750Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:51:13.2789156Z DEVICE_NAME: 2025-09-07T12:51:13.2789338Z DEVICE_TYPE: 2025-09-07T12:51:13.2789505Z ##[endgroup] 2025-09-07T12:51:13.7142772Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T12:51:13.8950802Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T12:51:13.8951112Z # shellcheck disable=SC2156 2025-09-07T12:51:13.8951567Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T12:51:13.8967547Z shell: /usr/bin/bash -e {0} 2025-09-07T12:51:13.8967781Z env: 2025-09-07T12:51:13.8967946Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:51:13.8968191Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:51:13.8968533Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:51:13.8968958Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:51:13.8969326Z DEVICE_NAME: 2025-09-07T12:51:13.8969493Z DEVICE_TYPE: 2025-09-07T12:51:13.8969665Z ##[endgroup] 2025-09-07T12:51:15.0052647Z Prepare all required actions 2025-09-07T12:51:15.0052984Z Getting action download info 2025-09-07T12:51:15.2804454Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T12:51:15.2804742Z with: 2025-09-07T12:51:15.2804920Z job_id: 49775781860 2025-09-07T12:51:15.2805243Z job_name: test-weekly / test (inductor_torchbench_perf_cuda_h100, 5, 9, linux.aws.h100) 2025-09-07T12:51:15.2805632Z workflow_name: inductor-perf-nightly-h100 2025-09-07T12:51:15.2805888Z workflow_run_id: 17525296438 2025-09-07T12:51:15.2806115Z workflow_attempt: 1 2025-09-07T12:51:15.2806305Z env: 2025-09-07T12:51:15.2806461Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:51:15.2806722Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:51:15.2807096Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:51:15.2807707Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:51:15.2808094Z DEVICE_NAME: 2025-09-07T12:51:15.2808288Z DEVICE_TYPE: 2025-09-07T12:51:15.2808451Z ##[endgroup] 2025-09-07T12:51:15.4884835Z ##[group]Run echo "workflow_id: 17525296438" 2025-09-07T12:51:15.4885119Z echo "workflow_id: 17525296438" 2025-09-07T12:51:15.4885369Z echo "workflow_attempt: 1" 2025-09-07T12:51:15.4885662Z echo "workflow_Name: inductor-perf-nightly-h100" 2025-09-07T12:51:15.4885959Z echo "job_id: 49775781860" 2025-09-07T12:51:15.4886344Z echo "job_name: test-weekly / test (inductor_torchbench_perf_cuda_h100, 5, 9, linux.aws.h100)" 2025-09-07T12:51:15.4886916Z echo "artifact_prefix: " 2025-09-07T12:51:15.4887150Z python3 --version 2025-09-07T12:51:15.4902729Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:51:15.4903032Z env: 2025-09-07T12:51:15.4903193Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:51:15.4903443Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:51:15.4903779Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:51:15.4904221Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:51:15.4904596Z DEVICE_NAME: 2025-09-07T12:51:15.4904759Z DEVICE_TYPE: 2025-09-07T12:51:15.4904918Z ##[endgroup] 2025-09-07T12:51:15.6032191Z workflow_id: 17525296438 2025-09-07T12:51:15.6032429Z workflow_attempt: 1 2025-09-07T12:51:15.6032659Z workflow_Name: inductor-perf-nightly-h100 2025-09-07T12:51:15.6032927Z job_id: 49775781860 2025-09-07T12:51:15.6033268Z job_name: test-weekly / test (inductor_torchbench_perf_cuda_h100, 5, 9, linux.aws.h100) 2025-09-07T12:51:15.6033640Z artifact_prefix: 2025-09-07T12:51:15.6047917Z Python 3.10.12 2025-09-07T12:51:15.8415800Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T12:51:15.8416042Z with: 2025-09-07T12:51:15.8416199Z shell: bash 2025-09-07T12:51:15.8416370Z timeout_minutes: 5 2025-09-07T12:51:15.8416568Z max_attempts: 5 2025-09-07T12:51:15.8416746Z retry_wait_seconds: 30 2025-09-07T12:51:15.8417176Z command: set -eu python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7 2025-09-07T12:51:15.8417768Z polling_interval_seconds: 1 2025-09-07T12:51:15.8417984Z warning_on_retry: true 2025-09-07T12:51:15.8418192Z continue_on_error: false 2025-09-07T12:51:15.8418375Z env: 2025-09-07T12:51:15.8418533Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:51:15.8418776Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:51:15.8419113Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:51:15.8419546Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:51:15.8419910Z DEVICE_NAME: 2025-09-07T12:51:15.8420083Z DEVICE_TYPE: 2025-09-07T12:51:15.8420247Z ##[endgroup] 2025-09-07T12:51:16.1820638Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T12:51:16.9291721Z Collecting python-dateutil==2.8.2 2025-09-07T12:51:16.9648690Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T12:51:17.6543466Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 247.7/247.7 KB 345.8 kB/s eta 0:00:00 2025-09-07T12:51:18.9123891Z Collecting boto3==1.35.42 2025-09-07T12:51:18.9160032Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T12:51:19.5579770Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.2/139.2 KB 201.5 kB/s eta 0:00:00 2025-09-07T12:51:20.5338572Z Collecting pandas==2.1.3 2025-09-07T12:51:20.5376899Z Downloading pandas-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T12:51:20.9802557Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.3/12.3 MB 24.0 MB/s eta 0:00:00 2025-09-07T12:51:21.0204845Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/frank/.local/lib/python3.10/site-packages (0.6.7) 2025-09-07T12:51:21.0220279Z Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil==2.8.2) (1.16.0) 2025-09-07T12:51:21.0263933Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/frank/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.35.99) 2025-09-07T12:51:21.0268763Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /home/frank/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.0.1) 2025-09-07T12:51:21.0273109Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/frank/.local/lib/python3.10/site-packages (from boto3==1.35.42) (0.10.4) 2025-09-07T12:51:21.5419695Z Collecting numpy<2,>=1.22.4 2025-09-07T12:51:21.5459291Z Downloading numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T12:51:21.9046950Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 18.2/18.2 MB 33.5 MB/s eta 0:00:00 2025-09-07T12:51:21.9881782Z Collecting tzdata>=2022.1 2025-09-07T12:51:21.9918131Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T12:51:22.0277632Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 347.8/347.8 KB 9.9 MB/s eta 0:00:00 2025-09-07T12:51:22.1233077Z Collecting pytz>=2020.1 2025-09-07T12:51:22.1265306Z Downloading pytz-2025.2-py2.py3-none-any.whl (509 kB) 2025-09-07T12:51:22.1632298Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 509.2/509.2 KB 14.5 MB/s eta 0:00:00 2025-09-07T12:51:22.1701282Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/frank/.local/lib/python3.10/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-09-07T12:51:22.1711052Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/frank/.local/lib/python3.10/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-09-07T12:51:22.1782639Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.26.5) 2025-09-07T12:51:22.1866435Z Requirement already satisfied: packaging>=17.0 in /home/frank/.local/lib/python3.10/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-09-07T12:51:22.1964589Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/frank/.local/lib/python3.10/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-09-07T12:51:22.1969521Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/frank/.local/lib/python3.10/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0) 2025-09-07T12:51:22.4766819Z Installing collected packages: pytz, tzdata, python-dateutil, numpy, pandas, boto3 2025-09-07T12:51:26.2853103Z WARNING: The script f2py is installed in '/home/frank/.local/bin' which is not on PATH. 2025-09-07T12:51:26.2854313Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T12:51:31.1792346Z Attempting uninstall: boto3 2025-09-07T12:51:31.1799248Z Found existing installation: boto3 1.35.33 2025-09-07T12:51:31.2019655Z Uninstalling boto3-1.35.33: 2025-09-07T12:51:31.2039385Z Successfully uninstalled boto3-1.35.33 2025-09-07T12:51:31.9128744Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 pytz-2025.2 tzdata-2025.2 2025-09-07T12:51:32.9279839Z Command completed after 1 attempt(s). 2025-09-07T12:51:33.1060063Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T12:51:33.1062755Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T12:51:33.1063165Z  --workflow-run-id "17525296438" \ 2025-09-07T12:51:33.1063475Z  --workflow-name "inductor-perf-nightly-h100" \ 2025-09-07T12:51:33.1063815Z  --workflow-run-attempt "1" \ 2025-09-07T12:51:33.1064066Z  --job-id "49775781860" \ 2025-09-07T12:51:33.1064458Z  --job-name "test-weekly / test (inductor_torchbench_perf_cuda_h100, 5, 9, linux.aws.h100)" \ 2025-09-07T12:51:33.1064856Z  --local-path "" \ 2025-09-07T12:51:33.1065082Z  --artifact-prefix "" 2025-09-07T12:51:33.1080781Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T12:51:33.1081073Z env: 2025-09-07T12:51:33.1081246Z GIT_DEFAULT_BRANCH: main 2025-09-07T12:51:33.1081488Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T12:51:33.1081825Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5232 2025-09-07T12:51:33.1082250Z DOCKER_CONTAINER_ID: 442c9c893ab7daeca828980c2b55cebf3eb2710373706e8b29dfc12b3a21afc9 2025-09-07T12:51:33.1082609Z DEVICE_NAME: 2025-09-07T12:51:33.1082773Z DEVICE_TYPE: 2025-09-07T12:51:33.1083087Z ##[endgroup] 2025-09-07T12:51:35.5511456Z repo: pytorch/pytorch 2025-09-07T12:51:35.5511795Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T12:51:35.5512329Z Downloading logs-test-inductor_torchbench_perf_cuda_h100-5-9-linux.aws.h100_49775781860.zip 2025-09-07T12:51:35.5513078Z extracting usage_log.txt from zip file logs-test-inductor_torchbench_perf_cuda_h100-5-9-linux.aws.h100_49775781860.zip 2025-09-07T12:51:35.5513692Z Converted Log Model: UtilizationMetadata: 2025-09-07T12:51:35.5515028Z UtilizationMetadata(level='metadata', workflow_id='17525296438', job_id='49775781860', workflow_name='inductor-perf-nightly-h100', job_name='test-weekly / test (inductor_torchbench_perf_cuda_h100, 5, 9, linux.aws.h100)', usage_collect_interval=4.0, data_model_version=1.5, start_at=1757236297, gpu_count=1, cpu_count=192, gpu_type='pynvml', error=None) 2025-09-07T12:51:35.5516431Z [Db Segments] detected pytest cmd: 4, generated segments: 4 2025-09-07T12:51:35.5516757Z [db model] Peek db timeseries 2025-09-07T12:51:35.5516973Z :{ 2025-09-07T12:51:35.5517130Z "created_at": 1757249495, 2025-09-07T12:51:35.5517687Z "type": "utilization", 2025-09-07T12:51:35.5517877Z "tags": [ 2025-09-07T12:51:35.5518035Z "record" 2025-09-07T12:51:35.5518209Z ], 2025-09-07T12:51:35.5518362Z "time_stamp": 1757236297, 2025-09-07T12:51:35.5518574Z "repo": "pytorch/pytorch", 2025-09-07T12:51:35.5518790Z "workflow_id": 17525296438, 2025-09-07T12:51:35.5519005Z "run_attempt": 1, 2025-09-07T12:51:35.5519186Z "job_id": 49775781860, 2025-09-07T12:51:35.5519833Z "workflow_name": "inductor-perf-nightly-h100", 2025-09-07T12:51:35.5520267Z "job_name": "test-weekly / test (inductor_torchbench_perf_cuda_h100, 5, 9, linux.aws.h100)", 2025-09-07T12:51:35.5520655Z "json_data": "{}" 2025-09-07T12:51:35.5520825Z } 2025-09-07T12:51:35.5521219Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525296438/1/49775781860/metadata 2025-09-07T12:51:35.5521978Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525296438/1/49775781860/metadata 2025-09-07T12:51:35.5522736Z Writing 877 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525296438/1/49775781860/time_series 2025-09-07T12:51:35.5523504Z Done! 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'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T12:51:40.7144722Z http.https://github.com/.extraheader 2025-09-07T12:51:40.7606905Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T12:51:40.7633919Z http.https://github.com/.extraheader 2025-09-07T12:51:40.7861103Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T12:51:40.7888905Z http.https://github.com/.extraheader 2025-09-07T12:51:40.7938057Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T12:51:40.7965172Z http.https://github.com/.extraheader 2025-09-07T12:51:40.8363730Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T12:51:40.8391152Z http.https://github.com/.extraheader 2025-09-07T12:51:40.8569404Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T12:51:40.8596090Z http.https://github.com/.extraheader 2025-09-07T12:51:40.8714699Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T12:51:40.8741682Z http.https://github.com/.extraheader 2025-09-07T12:51:40.9003807Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T12:51:40.9032305Z http.https://github.com/.extraheader 2025-09-07T12:51:40.9071028Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T12:51:40.9096717Z http.https://github.com/.extraheader 2025-09-07T12:51:40.9341894Z Entering 'third_party/kleidiai' 2025-09-07T12:51:40.9370029Z http.https://github.com/.extraheader 2025-09-07T12:51:40.9506219Z Entering 'third_party/mimalloc' 2025-09-07T12:51:40.9533945Z http.https://github.com/.extraheader 2025-09-07T12:51:40.9789779Z Entering 'third_party/nlohmann' 2025-09-07T12:51:40.9817811Z http.https://github.com/.extraheader 2025-09-07T12:51:40.9966231Z Entering 'third_party/onnx' 2025-09-07T12:51:40.9993238Z http.https://github.com/.extraheader 2025-09-07T12:51:41.0100517Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T12:51:41.0128557Z http.https://github.com/.extraheader 2025-09-07T12:51:41.0316990Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T12:51:41.0345113Z http.https://github.com/.extraheader 2025-09-07T12:51:41.0519746Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T12:51:41.0545943Z http.https://github.com/.extraheader 2025-09-07T12:51:41.0589950Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T12:51:41.0616562Z http.https://github.com/.extraheader 2025-09-07T12:51:41.0654160Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T12:51:41.0680823Z http.https://github.com/.extraheader 2025-09-07T12:51:41.0919177Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T12:51:41.0945650Z http.https://github.com/.extraheader 2025-09-07T12:51:41.1194333Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T12:51:41.1221152Z http.https://github.com/.extraheader 2025-09-07T12:51:41.1352611Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T12:51:41.1379338Z http.https://github.com/.extraheader 2025-09-07T12:51:41.1422363Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T12:51:41.1449160Z http.https://github.com/.extraheader 2025-09-07T12:51:41.1586826Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T12:51:41.1614258Z http.https://github.com/.extraheader 2025-09-07T12:51:41.1664554Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T12:51:41.1691627Z http.https://github.com/.extraheader 2025-09-07T12:51:41.1742106Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T12:51:41.1770385Z http.https://github.com/.extraheader 2025-09-07T12:51:41.2054417Z Entering 'third_party/pocketfft' 2025-09-07T12:51:41.2082249Z http.https://github.com/.extraheader 2025-09-07T12:51:41.2253215Z Entering 'third_party/protobuf' 2025-09-07T12:51:41.2280446Z http.https://github.com/.extraheader 2025-09-07T12:51:41.2322615Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T12:51:41.2349268Z http.https://github.com/.extraheader 2025-09-07T12:51:41.2385511Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T12:51:41.2412365Z http.https://github.com/.extraheader 2025-09-07T12:51:41.2462413Z Entering 'third_party/psimd' 2025-09-07T12:51:41.2490514Z http.https://github.com/.extraheader 2025-09-07T12:51:41.2542510Z Entering 'third_party/pthreadpool' 2025-09-07T12:51:41.2570159Z http.https://github.com/.extraheader 2025-09-07T12:51:41.2663480Z Entering 'third_party/pybind11' 2025-09-07T12:51:41.2691246Z http.https://github.com/.extraheader 2025-09-07T12:51:41.2832043Z Entering 'third_party/python-peachpy' 2025-09-07T12:51:41.2860398Z http.https://github.com/.extraheader 2025-09-07T12:51:41.3134857Z Entering 'third_party/sleef' 2025-09-07T12:51:41.3162738Z http.https://github.com/.extraheader 2025-09-07T12:51:41.3198222Z Entering 'third_party/tensorpipe' 2025-09-07T12:51:41.3225926Z http.https://github.com/.extraheader 2025-09-07T12:51:41.3270721Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T12:51:41.3296996Z http.https://github.com/.extraheader 2025-09-07T12:51:41.3432905Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T12:51:41.3460333Z http.https://github.com/.extraheader 2025-09-07T12:51:41.3655074Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T12:51:41.3681676Z http.https://github.com/.extraheader 2025-09-07T12:51:41.3723375Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T12:51:41.3750149Z http.https://github.com/.extraheader 2025-09-07T12:51:41.3804918Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T12:51:41.3831956Z http.https://github.com/.extraheader 2025-09-07T12:51:41.4029196Z Post job cleanup. 2025-09-07T12:51:41.4931432Z [command]/usr/bin/git version 2025-09-07T12:51:41.4967098Z git version 2.51.0 2025-09-07T12:51:41.5005537Z Temporarily overriding HOME='/home/frank/_work/_temp/5aa621ba-380d-4e78-bc74-7ade2dde4bef' before making global git config changes 2025-09-07T12:51:41.5006265Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T12:51:41.5010298Z [command]/usr/bin/git config --global --add safe.directory /home/frank/_work/pytorch/pytorch 2025-09-07T12:51:41.5058273Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T12:51:41.5101562Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T12:51:41.5376295Z Entering 'android/libs/fbjni' 2025-09-07T12:51:41.5428792Z Entering 'third_party/FP16' 2025-09-07T12:51:41.5479296Z Entering 'third_party/FXdiv' 2025-09-07T12:51:41.5527423Z Entering 'third_party/NNPACK' 2025-09-07T12:51:41.5578046Z Entering 'third_party/NVTX' 2025-09-07T12:51:41.5627589Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T12:51:41.5678512Z Entering 'third_party/XNNPACK' 2025-09-07T12:51:41.5742348Z Entering 'third_party/aiter' 2025-09-07T12:51:41.5792539Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T12:51:41.5849979Z Entering 'third_party/benchmark' 2025-09-07T12:51:41.5911559Z Entering 'third_party/composable_kernel' 2025-09-07T12:51:41.5961066Z Entering 'third_party/cpp-httplib' 2025-09-07T12:51:41.6010589Z Entering 'third_party/cpuinfo' 2025-09-07T12:51:41.6061386Z Entering 'third_party/cudnn_frontend' 2025-09-07T12:51:41.6111088Z Entering 'third_party/cutlass' 2025-09-07T12:51:41.6169802Z Entering 'third_party/fbgemm' 2025-09-07T12:51:41.6220833Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T12:51:41.6268674Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T12:51:41.6323613Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T12:51:41.6370837Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T12:51:41.6426501Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T12:51:41.6474315Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T12:51:41.6521829Z Entering 'third_party/fbgemm/external/json' 2025-09-07T12:51:41.6574250Z Entering 'third_party/flash-attention' 2025-09-07T12:51:41.6623175Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T12:51:41.6678150Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T12:51:41.6736514Z Entering 'third_party/flatbuffers' 2025-09-07T12:51:41.6788211Z Entering 'third_party/fmt' 2025-09-07T12:51:41.6837518Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T12:51:41.6886598Z Entering 'third_party/gloo' 2025-09-07T12:51:41.6936005Z Entering 'third_party/googletest' 2025-09-07T12:51:41.6985178Z Entering 'third_party/ideep' 2025-09-07T12:51:41.7033091Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T12:51:41.7088847Z Entering 'third_party/ittapi' 2025-09-07T12:51:41.7140219Z Entering 'third_party/kineto' 2025-09-07T12:51:41.7189666Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T12:51:41.7237139Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T12:51:41.7285555Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T12:51:41.7334451Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T12:51:41.7381101Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T12:51:41.7425800Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T12:51:41.7478610Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T12:51:41.7527576Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T12:51:41.7576679Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T12:51:41.7626064Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T12:51:41.7678164Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T12:51:41.7724402Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T12:51:41.7773928Z Entering 'third_party/kleidiai' 2025-09-07T12:51:41.7824772Z Entering 'third_party/mimalloc' 2025-09-07T12:51:41.7876006Z Entering 'third_party/nlohmann' 2025-09-07T12:51:41.7928590Z Entering 'third_party/onnx' 2025-09-07T12:51:41.7992080Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T12:51:41.8046119Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T12:51:41.8097067Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T12:51:41.8144580Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T12:51:41.8191411Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T12:51:41.8238922Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T12:51:41.8288969Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T12:51:41.8336641Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T12:51:41.8385503Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T12:51:41.8431890Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T12:51:41.8482270Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T12:51:41.8533541Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T12:51:41.8601635Z Entering 'third_party/pocketfft' 2025-09-07T12:51:41.8652566Z Entering 'third_party/protobuf' 2025-09-07T12:51:41.8705985Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T12:51:41.8753915Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T12:51:41.8805830Z Entering 'third_party/psimd' 2025-09-07T12:51:41.8854649Z Entering 'third_party/pthreadpool' 2025-09-07T12:51:41.8904272Z Entering 'third_party/pybind11' 2025-09-07T12:51:41.8956714Z Entering 'third_party/python-peachpy' 2025-09-07T12:51:41.9006735Z Entering 'third_party/sleef' 2025-09-07T12:51:41.9056780Z Entering 'third_party/tensorpipe' 2025-09-07T12:51:41.9106067Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T12:51:41.9153292Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T12:51:41.9200109Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T12:51:41.9247104Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T12:51:41.9292671Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T12:51:41.9367479Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T12:51:41.9401862Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T12:51:41.9666055Z Entering 'android/libs/fbjni' 2025-09-07T12:51:41.9715813Z Entering 'third_party/FP16' 2025-09-07T12:51:41.9767088Z Entering 'third_party/FXdiv' 2025-09-07T12:51:41.9815817Z Entering 'third_party/NNPACK' 2025-09-07T12:51:41.9866486Z Entering 'third_party/NVTX' 2025-09-07T12:51:41.9917980Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T12:51:41.9968356Z Entering 'third_party/XNNPACK' 2025-09-07T12:51:42.0032085Z Entering 'third_party/aiter' 2025-09-07T12:51:42.0083086Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T12:51:42.0141032Z Entering 'third_party/benchmark' 2025-09-07T12:51:42.0190333Z Entering 'third_party/composable_kernel' 2025-09-07T12:51:42.0246447Z Entering 'third_party/cpp-httplib' 2025-09-07T12:51:42.0295693Z Entering 'third_party/cpuinfo' 2025-09-07T12:51:42.0344900Z Entering 'third_party/cudnn_frontend' 2025-09-07T12:51:42.0393882Z Entering 'third_party/cutlass' 2025-09-07T12:51:42.0453332Z Entering 'third_party/fbgemm' 2025-09-07T12:51:42.0505210Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T12:51:42.0553949Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T12:51:42.0608525Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T12:51:42.0655906Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T12:51:42.0711494Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T12:51:42.0758544Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T12:51:42.0805469Z Entering 'third_party/fbgemm/external/json' 2025-09-07T12:51:42.0857219Z Entering 'third_party/flash-attention' 2025-09-07T12:51:42.0907038Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T12:51:42.0960895Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T12:51:42.1016679Z Entering 'third_party/flatbuffers' 2025-09-07T12:51:42.1068799Z Entering 'third_party/fmt' 2025-09-07T12:51:42.1117962Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T12:51:42.1167214Z Entering 'third_party/gloo' 2025-09-07T12:51:42.1216850Z Entering 'third_party/googletest' 2025-09-07T12:51:42.1265870Z Entering 'third_party/ideep' 2025-09-07T12:51:42.1313617Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T12:51:42.1369235Z Entering 'third_party/ittapi' 2025-09-07T12:51:42.1419573Z Entering 'third_party/kineto' 2025-09-07T12:51:42.1469329Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T12:51:42.1516029Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T12:51:42.1565779Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T12:51:42.1614241Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T12:51:42.1662038Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T12:51:42.1708474Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T12:51:42.1759910Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T12:51:42.1808105Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T12:51:42.1858671Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T12:51:42.1908297Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T12:51:42.1959961Z Entering 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