2025-09-07T07:45:24.7284045Z Current runner version: '2.328.0' 2025-09-07T07:45:24.7290636Z Runner name: 'i-0d3ed1ff3ccbeec77-1007' 2025-09-07T07:45:24.7291504Z Runner group name: 'default' 2025-09-07T07:45:24.7292305Z Machine name: 'abe47d1c7e02' 2025-09-07T07:45:24.7294920Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T07:45:24.7297094Z Contents: read 2025-09-07T07:45:24.7297874Z Metadata: read 2025-09-07T07:45:24.7298381Z ##[endgroup] 2025-09-07T07:45:24.7300403Z Secret source: Actions 2025-09-07T07:45:24.7301062Z Prepare workflow directory 2025-09-07T07:45:24.8088887Z Prepare all required actions 2025-09-07T07:45:24.8123557Z Getting action download info 2025-09-07T07:45:25.1487677Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T07:46:11.8714757Z Download action repository 'pytorch/pytorch@main' (SHA:ada43ed39c80b746b4822c92640a1882619e2795) 2025-09-07T07:48:30.4433047Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T07:48:34.4311800Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T07:48:35.8960781Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T07:48:36.4591613Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:48:37.7073593Z Getting action download info 2025-09-07T07:48:37.8418182Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T07:48:40.0264487Z Getting action download info 2025-09-07T07:48:40.1452898Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T07:48:40.7037715Z Getting action download info 2025-09-07T07:48:40.7960737Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T07:48:41.6816131Z Getting action download info 2025-09-07T07:48:41.7948921Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:48:41.7952681Z ##[group] Inputs 2025-09-07T07:48:41.7953014Z build-environment: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T07:48:41.7958304Z 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"}]} 2025-09-07T07:48:41.7963915Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:48:41.7964647Z sync-tag: 2025-09-07T07:48:41.7965339Z timeout-minutes: 1440 2025-09-07T07:48:41.7965562Z use-gha: 2025-09-07T07:48:41.7966446Z dashboard-tag: training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T07:48:41.7967539Z s3-bucket: gha-artifacts 2025-09-07T07:48:41.7967751Z aws-role-to-assume: 2025-09-07T07:48:41.7968280Z disable-monitor: false 2025-09-07T07:48:41.7968534Z monitor-log-interval: 15 2025-09-07T07:48:41.7968757Z monitor-data-collect-interval: 4 2025-09-07T07:48:41.7968998Z ##[endgroup] 2025-09-07T07:48:41.7969317Z Complete job name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 1, 5, linux.aws.h100) 2025-09-07T07:48:41.8633391Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T07:48:41.8634058Z with: 2025-09-07T07:48:41.8634514Z github-secret: *** 2025-09-07T07:48:41.8635066Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T07:48:41.8635626Z activate-with-label: false 2025-09-07T07:48:41.8635840Z label: with-ssh 2025-09-07T07:48:41.8636030Z remove-existing-keys: true 2025-09-07T07:48:41.8636244Z fail-silently: true 2025-09-07T07:48:41.8636633Z env: 2025-09-07T07:48:41.8636831Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:41.8637040Z ##[endgroup] 2025-09-07T07:48:41.9693097Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T07:48:41.9693802Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T07:48:42.0100901Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T07:48:42.0101259Z with: 2025-09-07T07:48:42.0101424Z no-sudo: true 2025-09-07T07:48:42.0101597Z submodules: recursive 2025-09-07T07:48:42.0101786Z fetch-depth: 0 2025-09-07T07:48:42.0101946Z env: 2025-09-07T07:48:42.0102123Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:42.0102418Z ##[endgroup] 2025-09-07T07:48:42.1146241Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:48:42.1147070Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:48:42.1170849Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:48:42.1171218Z env: 2025-09-07T07:48:42.1171405Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:42.1171621Z ##[endgroup] 2025-09-07T07:48:42.2359645Z ##[group]Run actions/checkout@v4 2025-09-07T07:48:42.2359881Z with: 2025-09-07T07:48:42.2360069Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:48:42.2360307Z fetch-depth: 0 2025-09-07T07:48:42.2360478Z submodules: recursive 2025-09-07T07:48:42.2360659Z show-progress: false 2025-09-07T07:48:42.2360862Z repository: pytorch/pytorch 2025-09-07T07:48:42.2361418Z token: *** 2025-09-07T07:48:42.2361586Z ssh-strict: true 2025-09-07T07:48:42.2361753Z ssh-user: git 2025-09-07T07:48:42.2361927Z persist-credentials: true 2025-09-07T07:48:42.2362119Z clean: true 2025-09-07T07:48:42.2362297Z sparse-checkout-cone-mode: true 2025-09-07T07:48:42.2362508Z fetch-tags: false 2025-09-07T07:48:42.2362665Z lfs: false 2025-09-07T07:48:42.2362824Z set-safe-directory: true 2025-09-07T07:48:42.2363005Z env: 2025-09-07T07:48:42.2363164Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:42.2363356Z ##[endgroup] 2025-09-07T07:48:42.3309035Z Syncing repository: pytorch/pytorch 2025-09-07T07:48:42.3310184Z ##[group]Getting Git version info 2025-09-07T07:48:42.3310528Z Working directory is '/home/grace/_work/pytorch/pytorch' 2025-09-07T07:48:42.3311010Z [command]/usr/bin/git version 2025-09-07T07:48:42.3320298Z git version 2.51.0 2025-09-07T07:48:42.3343893Z ##[endgroup] 2025-09-07T07:48:42.3355017Z Temporarily overriding HOME='/home/grace/_work/_temp/296f223a-aabd-4639-b488-bca937f94c80' before making global git config changes 2025-09-07T07:48:42.3355698Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:48:42.3360006Z [command]/usr/bin/git config --global --add safe.directory /home/grace/_work/pytorch/pytorch 2025-09-07T07:48:42.3514907Z Deleting the contents of '/home/grace/_work/pytorch/pytorch' 2025-09-07T07:48:42.3518321Z ##[group]Initializing the repository 2025-09-07T07:48:42.3521235Z [command]/usr/bin/git init /home/grace/_work/pytorch/pytorch 2025-09-07T07:48:42.4934300Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T07:48:42.4934997Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T07:48:42.4935529Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T07:48:42.4935943Z hint: 2025-09-07T07:48:42.4936244Z hint: git config --global init.defaultBranch 2025-09-07T07:48:42.4936564Z hint: 2025-09-07T07:48:42.4936877Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T07:48:42.4937683Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T07:48:42.4938088Z hint: 2025-09-07T07:48:42.4938291Z hint: git branch -m 2025-09-07T07:48:42.4938523Z hint: 2025-09-07T07:48:42.4938853Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-09-07T07:48:42.4939436Z Initialized empty Git repository in /home/grace/_work/pytorch/pytorch/.git/ 2025-09-07T07:48:42.4947589Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T07:48:42.6366102Z ##[endgroup] 2025-09-07T07:48:42.6371919Z ##[group]Disabling automatic garbage collection 2025-09-07T07:48:42.6372251Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:48:42.7003251Z ##[endgroup] 2025-09-07T07:48:42.7003628Z ##[group]Setting up auth 2025-09-07T07:48:42.7009087Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:48:42.7038216Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T07:48:42.7301459Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:48:42.7328900Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T07:48:42.7572937Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:48:42.8139177Z ##[endgroup] 2025-09-07T07:48:42.8139563Z ##[group]Fetching the repository 2025-09-07T07:48:42.8145885Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:49:31.3284043Z From https://github.com/pytorch/pytorch 2025-09-07T07:49:31.3286788Z * [new branch] 160583 -> origin/160583 2025-09-07T07:49:31.3287778Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T07:49:31.3288267Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T07:49:31.3288895Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T07:49:31.3289448Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T07:49:31.3290100Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T07:49:31.3290679Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T07:49:31.3291283Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T07:49:31.3291816Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T07:49:31.3292311Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T07:49:31.3292808Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T07:49:31.3293280Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T07:49:31.3293744Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T07:49:31.3294238Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T07:49:31.3294677Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T07:49:31.3295327Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T07:49:31.3295973Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T07:49:31.3296547Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T07:49:31.3297061Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T07:49:31.3297707Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T07:49:31.3298189Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T07:49:31.3298616Z * [new branch] addsimde -> origin/addsimde 2025-09-07T07:49:31.3299491Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T07:49:31.3299955Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T07:49:31.3300348Z * [new branch] adi/test -> origin/adi/test 2025-09-07T07:49:31.3300764Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T07:49:31.3301197Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T07:49:31.3301645Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T07:49:31.3302116Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T07:49:31.3302569Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T07:49:31.3303030Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T07:49:31.3303514Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T07:49:31.3303999Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T07:49:31.3304430Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T07:49:31.3304925Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T07:49:31.3305705Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T07:49:31.3306188Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T07:49:31.3306702Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T07:49:31.3307243Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T07:49:31.3307990Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T07:49:31.3308448Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T07:49:31.3308939Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T07:49:31.3309403Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T07:49:31.3309915Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T07:49:31.3310354Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T07:49:31.3310793Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T07:49:31.3311254Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T07:49:31.3311702Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T07:49:31.3312146Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T07:49:31.3312566Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T07:49:31.3313028Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T07:49:31.3313474Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-09-07T07:49:31.3313923Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-09-07T07:49:31.3314371Z * [new branch] aoti-cuda-alloc -> origin/aoti-cuda-alloc 2025-09-07T07:49:31.3314775Z * [new branch] aoti_target_windows -> origin/aoti_target_windows 2025-09-07T07:49:31.3315206Z * [new branch] aoti_weight_sharing -> origin/aoti_weight_sharing 2025-09-07T07:49:31.3315721Z * [new branch] atalman-inductor-perf-cu124 -> origin/atalman-inductor-perf-cu124 2025-09-07T07:49:31.3316427Z * [new branch] atalman-inductor-perf-cu124.1 -> origin/atalman-inductor-perf-cu124.1 2025-09-07T07:49:31.3316945Z * [new branch] atalman-patch-1 -> origin/atalman-patch-1 2025-09-07T07:49:31.3317532Z * [new branch] atalman-patch-3 -> origin/atalman-patch-3 2025-09-07T07:49:31.3317976Z * [new branch] atalman-patch-4 -> origin/atalman-patch-4 2025-09-07T07:49:31.3318410Z * [new branch] atalman-patch-5 -> origin/atalman-patch-5 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2025-09-07T07:49:31.4450405Z * [new branch] xmfan/ca_fix_polyfills -> origin/xmfan/ca_fix_polyfills 2025-09-07T07:49:31.4450536Z * [new branch] xmfan/ca_jan3 -> origin/xmfan/ca_jan3 2025-09-07T07:49:31.4450673Z * [new branch] xmfan/ca_jun18 -> origin/xmfan/ca_jun18 2025-09-07T07:49:31.4450808Z * [new branch] xmfan/ca_jun24 -> origin/xmfan/ca_jun24 2025-09-07T07:49:31.4450949Z * [new branch] xmfan/ca_mem_base -> origin/xmfan/ca_mem_base 2025-09-07T07:49:31.4451091Z * [new branch] xmfan/ca_mem_fix -> origin/xmfan/ca_mem_fix 2025-09-07T07:49:31.4451241Z * [new branch] xmfan/ca_memory_fix -> origin/xmfan/ca_memory_fix 2025-09-07T07:49:31.4451417Z * [new branch] xmfan/ca_memory_fix_rebased -> origin/xmfan/ca_memory_fix_rebased 2025-09-07T07:49:31.4451613Z * [new branch] xmfan/ca_memory_fix_rebased2 -> origin/xmfan/ca_memory_fix_rebased2 2025-09-07T07:49:31.4451766Z * [new branch] xmfan/ca_move_to_cuda -> origin/xmfan/ca_move_to_cuda 2025-09-07T07:49:31.4451904Z * [new branch] xmfan/ca_nested -> origin/xmfan/ca_nested 2025-09-07T07:49:31.4452049Z * [new branch] xmfan/ca_overhead -> origin/xmfan/ca_overhead 2025-09-07T07:49:31.4452232Z * [new branch] xmfan/ca_overhead_0eba7e5451 -> origin/xmfan/ca_overhead_0eba7e5451 2025-09-07T07:49:31.4452365Z * [new branch] xmfan/ca_scalar -> origin/xmfan/ca_scalar 2025-09-07T07:49:31.4452532Z * [new branch] xmfan/ca_subclass_mem_fix -> origin/xmfan/ca_subclass_mem_fix 2025-09-07T07:49:31.4452681Z * [new branch] xmfan/ca_warm_mem -> origin/xmfan/ca_warm_mem 2025-09-07T07:49:31.4452835Z * [new branch] xmfan/ca_warm_mem_base -> origin/xmfan/ca_warm_mem_base 2025-09-07T07:49:31.4452976Z * [new branch] xmfan/cacu_jun18 -> origin/xmfan/cacu_jun18 2025-09-07T07:49:31.4453110Z * [new branch] xmfan/cacu_jun19 -> origin/xmfan/cacu_jun19 2025-09-07T07:49:31.4453243Z * [new branch] xmfan/cacu_jun4 -> origin/xmfan/cacu_jun4 2025-09-07T07:49:31.4453505Z * [new branch] xmfan/cacu_may27 -> origin/xmfan/cacu_may27 2025-09-07T07:49:31.4453695Z * [new branch] xmfan/disable_duck_shape -> origin/xmfan/disable_duck_shape 2025-09-07T07:49:31.4453903Z * [new branch] xmfan/fca_cpp_node_passthrough -> origin/xmfan/fca_cpp_node_passthrough 2025-09-07T07:49:31.4454053Z * [new branch] xmfan/issue_123374 -> origin/xmfan/issue_123374 2025-09-07T07:49:31.4454384Z * [new branch] xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T07:49:31.4454685Z * [new branch] xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T07:49:31.4454923Z * [new branch] xmfan/segfault_test -> origin/xmfan/segfault_test 2025-09-07T07:49:31.4455076Z * [new branch] xmfan/single_step -> origin/xmfan/single_step 2025-09-07T07:49:31.4455217Z * [new branch] xmfan/sth_0829 -> origin/xmfan/sth_0829 2025-09-07T07:49:31.4455354Z * [new branch] xmfan/test -> origin/xmfan/test 2025-09-07T07:49:31.4455532Z * [new branch] yguo/debug-0226-constexpr -> origin/yguo/debug-0226-constexpr 2025-09-07T07:49:31.4455817Z * [new branch] yguo/new_latest_changes -> origin/yguo/new_latest_changes 2025-09-07T07:49:31.4456004Z * [new branch] yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes 2025-09-07T07:49:31.4456154Z * [new branch] yihan_quantization -> origin/yihan_quantization 2025-09-07T07:49:31.4456361Z * [new branch] yiming/add_jit_trace_benchmark -> origin/yiming/add_jit_trace_benchmark 2025-09-07T07:49:31.4456553Z * [new branch] yiming/add_nativert_benchmark -> origin/yiming/add_nativert_benchmark 2025-09-07T07:49:31.4456703Z * [new branch] yiming/bootcamp -> origin/yiming/bootcamp 2025-09-07T07:49:31.4456851Z * [new branch] zainr/canary-test -> origin/zainr/canary-test 2025-09-07T07:49:31.4457036Z * [new branch] zainr/cleanup-gh-runners -> origin/zainr/cleanup-gh-runners 2025-09-07T07:49:31.4457194Z * [new branch] zainr/git-push-v2 -> origin/zainr/git-push-v2 2025-09-07T07:49:31.4457606Z * [new branch] zainr/pull-migration-c -> origin/zainr/pull-migration-c 2025-09-07T07:49:31.4457743Z * [new branch] zainr/test -> origin/zainr/test 2025-09-07T07:49:31.4457875Z * [new branch] zainr/test2 -> origin/zainr/test2 2025-09-07T07:49:31.4458018Z * [new branch] zainr/unstable -> origin/zainr/unstable 2025-09-07T07:49:31.4458173Z * [new branch] zainr/unstable-xla -> origin/zainr/unstable-xla 2025-09-07T07:49:31.4458331Z * [new branch] zasdfgbnm-patch-3 -> origin/zasdfgbnm-patch-3 2025-09-07T07:49:31.4458458Z * [new branch] zb2p -> origin/zb2p 2025-09-07T07:49:31.4458620Z * [new branch] zero_grad_optimization -> origin/zero_grad_optimization 2025-09-07T07:49:31.4458809Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-09-07T07:49:31.4458971Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-09-07T07:49:31.4459133Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-09-07T07:49:31.4459260Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T07:49:31.4459599Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T07:49:31.4459722Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T07:49:31.4460027Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T07:49:31.4460180Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T07:49:31.4460310Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T07:49:31.4460440Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T07:49:31.4460575Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T07:49:31.4460701Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T07:49:31.4460831Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T07:49:31.4460960Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T07:49:31.4461091Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T07:49:31.4461224Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T07:49:31.4461400Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T07:49:31.4461571Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T07:49:31.4461738Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T07:49:31.4462077Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T07:49:31.4462228Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T07:49:31.4462380Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T07:49:31.4462527Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T07:49:31.4462677Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T07:49:31.4462830Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T07:49:31.4462996Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T07:49:31.4463144Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T07:49:31.4463294Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T07:49:31.4463440Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T07:49:31.4463582Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T07:49:31.4463721Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T07:49:31.4463865Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T07:49:31.4464006Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T07:49:31.4464146Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T07:49:31.4464281Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T07:49:31.4464420Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T07:49:31.4464563Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T07:49:31.4464698Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T07:49:31.4464818Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T07:49:31.4464934Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T07:49:31.4465046Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T07:49:31.4465277Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T07:49:31.4465406Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T07:49:31.4465690Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T07:49:31.4465932Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T07:49:31.4466121Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T07:49:31.4466297Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T07:49:31.4466467Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T07:49:31.4466619Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T07:49:31.4466771Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T07:49:31.4466927Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T07:49:31.4467071Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T07:49:31.4467217Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T07:49:31.4467660Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T07:49:31.4467797Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T07:49:31.4467931Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T07:49:31.4468061Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T07:49:31.4468192Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T07:49:31.4468323Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T07:49:31.4468450Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T07:49:31.4468579Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T07:49:31.4468716Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T07:49:31.4468852Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T07:49:31.4468979Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T07:49:31.4469108Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T07:49:31.4469233Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T07:49:31.4469358Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T07:49:31.4469490Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T07:49:31.4469616Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T07:49:31.4469750Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T07:49:31.4469876Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T07:49:31.4470008Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T07:49:31.4470135Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T07:49:31.4470262Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T07:49:31.4470392Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T07:49:31.4470519Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T07:49:31.4470800Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T07:49:31.4470947Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T07:49:31.4471074Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T07:49:31.4471205Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T07:49:31.4471334Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T07:49:31.4471464Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T07:49:31.4471589Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T07:49:31.4471717Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T07:49:31.4471843Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T07:49:31.4471969Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T07:49:31.4472106Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T07:49:31.4472233Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T07:49:31.4472369Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T07:49:31.4472631Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T07:49:31.4472758Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T07:49:31.4472897Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T07:49:31.4473028Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T07:49:31.4473157Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T07:49:31.4473283Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T07:49:31.4473418Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T07:49:31.4473551Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T07:49:31.4473677Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T07:49:31.4473804Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T07:49:31.4473936Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T07:49:31.4474065Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T07:49:31.4474202Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T07:49:31.4474329Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T07:49:31.4474458Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T07:49:31.4474587Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T07:49:31.4474726Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T07:49:31.4474862Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T07:49:31.4474993Z * [new tag] ciflow/inductor/160928 -> ciflow/inductor/160928 2025-09-07T07:49:31.4475123Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T07:49:31.4475253Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T07:49:31.4475382Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T07:49:31.4475508Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T07:49:31.4475638Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T07:49:31.4475872Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T07:49:31.4476014Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T07:49:31.4476144Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T07:49:31.4476270Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T07:49:31.4476406Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T07:49:31.4476532Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T07:49:31.4476660Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T07:49:31.4476787Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T07:49:31.4476913Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T07:49:31.4477053Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T07:49:31.4477185Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T07:49:31.4477449Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T07:49:31.4477579Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T07:49:31.4477862Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T07:49:31.4477996Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T07:49:31.4478123Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T07:49:31.4478252Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T07:49:31.4478378Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T07:49:31.4478510Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T07:49:31.4478637Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T07:49:31.4478763Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T07:49:31.4478892Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T07:49:31.4479025Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T07:49:31.4479160Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T07:49:31.4479292Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T07:49:31.4479419Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T07:49:31.4479549Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T07:49:31.4479680Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T07:49:31.4479810Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T07:49:31.4479946Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T07:49:31.4480077Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T07:49:31.4480205Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T07:49:31.4480332Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T07:49:31.4480471Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T07:49:31.4480597Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T07:49:31.4480727Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T07:49:31.4480852Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T07:49:31.4481143Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T07:49:31.4481289Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T07:49:31.4481417Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T07:49:31.4481561Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T07:49:31.4481689Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T07:49:31.4481817Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T07:49:31.4481947Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T07:49:31.4482071Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T07:49:31.4482200Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T07:49:31.4482330Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T07:49:31.4482457Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T07:49:31.4482593Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T07:49:31.4482718Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T07:49:31.4482972Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T07:49:31.4483100Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T07:49:31.4483228Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T07:49:31.4483354Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T07:49:31.4483485Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T07:49:31.4483620Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T07:49:31.4483755Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T07:49:31.4483885Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T07:49:31.4484011Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T07:49:31.4484144Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T07:49:31.4484268Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T07:49:31.4484398Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T07:49:31.4484524Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T07:49:31.4484649Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T07:49:31.4484780Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T07:49:31.4484915Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T07:49:31.4485042Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T07:49:31.4485178Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T07:49:31.4485312Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T07:49:31.4485442Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T07:49:31.4485565Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T07:49:31.4485695Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T07:49:31.4485833Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T07:49:31.4486072Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T07:49:31.4486210Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T07:49:31.4486338Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T07:49:31.4486468Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T07:49:31.4486600Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T07:49:31.4486729Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T07:49:31.4486854Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T07:49:31.4486979Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T07:49:31.4487111Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T07:49:31.4487246Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T07:49:31.4487507Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T07:49:31.4487633Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T07:49:31.4487763Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T07:49:31.4488049Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T07:49:31.4488180Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T07:49:31.4488308Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T07:49:31.4488433Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T07:49:31.4488563Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T07:49:31.4488694Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T07:49:31.4488820Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T07:49:31.4488948Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T07:49:31.4489074Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T07:49:31.4489211Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T07:49:31.4489336Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T07:49:31.4489466Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T07:49:31.4489591Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T07:49:31.4489719Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T07:49:31.4489849Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T07:49:31.4489978Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T07:49:31.4490110Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T07:49:31.4490247Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T07:49:31.4490378Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T07:49:31.4490508Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T07:49:31.4490636Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T07:49:31.4490764Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T07:49:31.4490892Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T07:49:31.4491022Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T07:49:31.4491304Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T07:49:31.4491436Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T07:49:31.4491571Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T07:49:31.4491698Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T07:49:31.4491834Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T07:49:31.4491959Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T07:49:31.4492085Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T07:49:31.4492215Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T07:49:31.4492354Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T07:49:31.4492489Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T07:49:31.4492615Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T07:49:31.4492746Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T07:49:31.4492871Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T07:49:31.4493117Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T07:49:31.4493251Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T07:49:31.4493379Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T07:49:31.4493508Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T07:49:31.4493633Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T07:49:31.4493774Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T07:49:31.4493916Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T07:49:31.4494058Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T07:49:31.4494212Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T07:49:31.4494364Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T07:49:31.4494514Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T07:49:31.4494644Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T07:49:31.4494762Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T07:49:31.4494954Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T07:49:31.4495078Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T07:49:31.4495194Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T07:49:31.4495306Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T07:49:31.4495441Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T07:49:31.4495589Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T07:49:31.4495741Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T07:49:31.4495946Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T07:49:31.4496133Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T07:49:31.4496279Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T07:49:31.4496524Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T07:49:31.4496672Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T07:49:31.4496809Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T07:49:31.4496939Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T07:49:31.4527093Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T07:49:31.4527491Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T07:49:31.4527659Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T07:49:31.4527821Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T07:49:31.4527988Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T07:49:31.4528179Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T07:49:31.4528348Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T07:49:31.4528514Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T07:49:31.4528669Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T07:49:31.4529092Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T07:49:31.4529256Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T07:49:31.4529394Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T07:49:31.4529528Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T07:49:31.4529658Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T07:49:31.4529791Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T07:49:31.4529920Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T07:49:31.4530047Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T07:49:31.4530179Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T07:49:31.4530314Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T07:49:31.4530454Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T07:49:31.4530591Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T07:49:31.4530724Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T07:49:31.4530859Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T07:49:31.4530989Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T07:49:31.4531126Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T07:49:31.4531249Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T07:49:31.4531372Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T07:49:31.4531490Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T07:49:31.4531600Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T07:49:31.4531712Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T07:49:31.4531825Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T07:49:31.4531942Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T07:49:31.4532198Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T07:49:31.4532332Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T07:49:31.4532453Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T07:49:31.4532568Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T07:49:31.4532685Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T07:49:31.4532799Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T07:49:31.4532913Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T07:49:31.4533027Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T07:49:31.4533141Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T07:49:31.4533274Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T07:49:31.4533394Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T07:49:31.4533773Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T07:49:31.4533901Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T07:49:31.4534132Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T07:49:31.4534267Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T07:49:31.4534390Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T07:49:31.4534513Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T07:49:31.4534632Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T07:49:31.4534757Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T07:49:31.4534955Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T07:49:31.4535076Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T07:49:31.4535194Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T07:49:31.4535535Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T07:49:31.4535663Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T07:49:31.4535785Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T07:49:31.4535906Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T07:49:31.4536027Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T07:49:31.4536149Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T07:49:31.4536502Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T07:49:31.4536670Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T07:49:31.4536809Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T07:49:31.4536927Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T07:49:31.4537043Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T07:49:31.4537162Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T07:49:31.4537422Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T07:49:31.4537548Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T07:49:31.4537877Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T07:49:31.4538016Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T07:49:31.4538140Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T07:49:31.4538257Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T07:49:31.4538381Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T07:49:31.4538496Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T07:49:31.4538613Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T07:49:31.4538727Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T07:49:31.4538842Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T07:49:31.4538974Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T07:49:31.4539092Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T07:49:31.4539212Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T07:49:31.4539329Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T07:49:31.4539610Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T07:49:31.4539731Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T07:49:31.4539847Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T07:49:31.4539968Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T07:49:31.4540082Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T07:49:31.4540200Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T07:49:31.4540320Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T07:49:31.4540435Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T07:49:31.4540559Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T07:49:31.4540676Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T07:49:31.4540799Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T07:49:31.4540914Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T07:49:31.4541030Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T07:49:31.4541148Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T07:49:31.4541261Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T07:49:31.4541390Z * [new tag] ciflow/trunk/160928 -> ciflow/trunk/160928 2025-09-07T07:49:31.4541505Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T07:49:31.4541626Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T07:49:31.4541744Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T07:49:31.4541861Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T07:49:31.4541982Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T07:49:31.4542102Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T07:49:31.4542220Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T07:49:31.4542335Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T07:49:31.4542572Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T07:49:31.4542704Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T07:49:31.4542823Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T07:49:31.4542945Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T07:49:31.4543067Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T07:49:31.4543182Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T07:49:31.4543299Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T07:49:31.4543413Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T07:49:31.4543532Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T07:49:31.4543647Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T07:49:31.4543770Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T07:49:31.4543884Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T07:49:31.4543999Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T07:49:31.4544117Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T07:49:31.4544341Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T07:49:31.4544463Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T07:49:31.4544579Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T07:49:31.4544702Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T07:49:31.4544818Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T07:49:31.4544939Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T07:49:31.4545077Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T07:49:31.4545195Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T07:49:31.4545317Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T07:49:31.4545436Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T07:49:31.4545552Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T07:49:31.4545671Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T07:49:31.4545788Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T07:49:31.4545909Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T07:49:31.4546026Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T07:49:31.4546149Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T07:49:31.4546266Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T07:49:31.4546383Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T07:49:31.4546501Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T07:49:31.4546621Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T07:49:31.4546743Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T07:49:31.4546858Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T07:49:31.4546973Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T07:49:31.4547095Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T07:49:31.4547475Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T07:49:31.4547625Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T07:49:31.4547745Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T07:49:31.4547863Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T07:49:31.4547987Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T07:49:31.4548102Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T07:49:31.4548221Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T07:49:31.4548335Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T07:49:31.4548454Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T07:49:31.4548573Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T07:49:31.4548690Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T07:49:31.4548809Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T07:49:31.4548921Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T07:49:31.4549208Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T07:49:31.4549326Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T07:49:31.4549443Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T07:49:31.4549570Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T07:49:31.4549687Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T07:49:31.4549807Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T07:49:31.4549926Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T07:49:31.4550043Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T07:49:31.4550159Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T07:49:31.4550272Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T07:49:31.4550393Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T07:49:31.4550507Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T07:49:31.4550625Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T07:49:31.4550741Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T07:49:31.4550854Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T07:49:31.4550978Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T07:49:31.4551093Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T07:49:31.4551210Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T07:49:31.4551324Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T07:49:31.4551460Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T07:49:31.4551579Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T07:49:31.4551698Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T07:49:31.4551840Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T07:49:31.4551971Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T07:49:31.4552098Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T07:49:31.4552342Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T07:49:31.4552469Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T07:49:31.4552585Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T07:49:31.4552697Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T07:49:31.4552815Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T07:49:31.4552925Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T07:49:31.4553036Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T07:49:31.4553147Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T07:49:31.4553259Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T07:49:31.4553377Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T07:49:31.4553487Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T07:49:31.4553605Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T07:49:31.4553718Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T07:49:31.4553936Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T07:49:31.4554063Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T07:49:31.4554174Z * [new tag] cslpull75 -> cslpull75 2025-09-07T07:49:31.4554280Z * [new tag] cslpull76 -> cslpull76 2025-09-07T07:49:31.4554383Z * [new tag] cslpull77 -> cslpull77 2025-09-07T07:49:31.4554487Z * [new tag] cslpull78 -> cslpull78 2025-09-07T07:49:31.4554590Z * [new tag] cslpull79 -> cslpull79 2025-09-07T07:49:31.4554701Z * [new tag] cslpull80 -> cslpull80 2025-09-07T07:49:31.4554803Z * [new tag] cslpull81 -> cslpull81 2025-09-07T07:49:31.4554912Z * [new tag] cslpull82 -> cslpull82 2025-09-07T07:49:31.4555020Z * [new tag] cslpull83 -> cslpull83 2025-09-07T07:49:31.4555119Z * [new tag] cslpull84 -> cslpull84 2025-09-07T07:49:31.4555216Z * [new tag] cslpull85 -> cslpull85 2025-09-07T07:49:31.4555319Z * [new tag] cslpull86 -> cslpull86 2025-09-07T07:49:31.4555418Z * [new tag] cslpull87 -> cslpull87 2025-09-07T07:49:31.4555520Z * [new tag] cslpull88 -> cslpull88 2025-09-07T07:49:31.4555622Z * [new tag] cslpull89 -> cslpull89 2025-09-07T07:49:31.4555720Z * [new tag] cslpull90 -> cslpull90 2025-09-07T07:49:31.4555822Z * [new tag] cslpull91 -> cslpull91 2025-09-07T07:49:31.4555919Z * [new tag] cslpull92 -> cslpull92 2025-09-07T07:49:31.4556029Z * [new tag] flight_5 -> flight_5 2025-09-07T07:49:31.4556140Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T07:49:31.4556245Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T07:49:31.4556345Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T07:49:31.4556447Z * [new tag] forpull1 -> forpull1 2025-09-07T07:49:31.4556578Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T07:49:31.4556699Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T07:49:31.4556949Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T07:49:31.4557081Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T07:49:31.4557214Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T07:49:31.4557473Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T07:49:31.4557747Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T07:49:31.4558023Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T07:49:31.4558300Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T07:49:31.4558582Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T07:49:31.4558845Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T07:49:31.4559108Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T07:49:31.4559528Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T07:49:31.4559798Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T07:49:31.4560061Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T07:49:31.4560323Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T07:49:31.4560590Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T07:49:31.4560843Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T07:49:31.4561126Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T07:49:31.4561390Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T07:49:31.4561656Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T07:49:31.4561931Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T07:49:31.4562200Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T07:49:31.4562461Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T07:49:31.4562722Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T07:49:31.4563001Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T07:49:31.4563260Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T07:49:31.4563517Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T07:49:31.4563778Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T07:49:31.4564177Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T07:49:31.4564464Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T07:49:31.4564721Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T07:49:31.4564995Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T07:49:31.4565266Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T07:49:31.4565528Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T07:49:31.4565793Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T07:49:31.4566063Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T07:49:31.4566328Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T07:49:31.4566591Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T07:49:31.4566977Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T07:49:31.4567248Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T07:49:31.4567639Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T07:49:31.4567903Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T07:49:31.4568158Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T07:49:31.4568418Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T07:49:31.4568686Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T07:49:31.4568950Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T07:49:31.4569212Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T07:49:31.4569476Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T07:49:31.4569743Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T07:49:31.4570007Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T07:49:31.4570260Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T07:49:31.4570528Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T07:49:31.4570780Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T07:49:31.4571039Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T07:49:31.4571304Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T07:49:31.4571710Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T07:49:31.4571988Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T07:49:31.4572258Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T07:49:31.4572527Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T07:49:31.4572794Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T07:49:31.4573055Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T07:49:31.4573324Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T07:49:31.4573585Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T07:49:31.4573840Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T07:49:31.4574257Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T07:49:31.4574524Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T07:49:31.4574785Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T07:49:31.4575126Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T07:49:31.4575391Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T07:49:31.4575652Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T07:49:31.4575927Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T07:49:31.4576196Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T07:49:31.4576462Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T07:49:31.4576724Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T07:49:31.4576991Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T07:49:31.4577378Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T07:49:31.4577657Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T07:49:31.4577924Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T07:49:31.4578184Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T07:49:31.4578453Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T07:49:31.4578710Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T07:49:31.4579131Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T07:49:31.4579413Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T07:49:31.4579690Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T07:49:31.4579968Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T07:49:31.4580228Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T07:49:31.4580500Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T07:49:31.4580757Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T07:49:31.4581027Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T07:49:31.4581297Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T07:49:31.4581554Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T07:49:31.4581987Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T07:49:31.4582239Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T07:49:31.4582503Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T07:49:31.4582773Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T07:49:31.4583043Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T07:49:31.4583298Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T07:49:31.4583564Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T07:49:31.4583824Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T07:49:31.4584097Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T07:49:31.4584357Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T07:49:31.4584624Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T07:49:31.4584889Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T07:49:31.4585153Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T07:49:31.4585428Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T07:49:31.4585695Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T07:49:31.4585950Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T07:49:31.4586313Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T07:49:31.4586585Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T07:49:31.4586845Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T07:49:31.4587109Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T07:49:31.4587493Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T07:49:31.4587751Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T07:49:31.4588011Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T07:49:31.4588270Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T07:49:31.4588530Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T07:49:31.4588786Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T07:49:31.4589206Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T07:49:31.4589463Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T07:49:31.4589730Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T07:49:31.4589983Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T07:49:31.4590241Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T07:49:31.4590502Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T07:49:31.4590766Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T07:49:31.4591038Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T07:49:31.4591297Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T07:49:31.4591553Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T07:49:31.4591815Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T07:49:31.4592062Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T07:49:31.4592330Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T07:49:31.4592590Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T07:49:31.4592860Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T07:49:31.4593134Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T07:49:31.4593396Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T07:49:31.4593793Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T07:49:31.4594073Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T07:49:31.4594349Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T07:49:31.4594617Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T07:49:31.4594890Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T07:49:31.4595147Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T07:49:31.4595409Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T07:49:31.4595673Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T07:49:31.4595931Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T07:49:31.4596196Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T07:49:31.4596597Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T07:49:31.4596864Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T07:49:31.4597131Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T07:49:31.4597525Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T07:49:31.4597790Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T07:49:31.4598046Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T07:49:31.4598313Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T07:49:31.4598582Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:31.4598852Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T07:49:31.4599113Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T07:49:31.4599378Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T07:49:31.4599634Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T07:49:31.4599896Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T07:49:31.4600159Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T07:49:31.4600420Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T07:49:31.4600690Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T07:49:31.4601108Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T07:49:31.4601393Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T07:49:31.4601664Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T07:49:31.4601937Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T07:49:31.4602194Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T07:49:31.4602470Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T07:49:31.4602738Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T07:49:31.4602999Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T07:49:31.4603261Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T07:49:31.4603529Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T07:49:31.4603958Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T07:49:31.4604225Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T07:49:31.4604480Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T07:49:31.4604745Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T07:49:31.4605006Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T07:49:31.4605279Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T07:49:31.4605540Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T07:49:31.4605805Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T07:49:31.4606073Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T07:49:31.4606338Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T07:49:31.4606604Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T07:49:31.4606872Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T07:49:31.4607139Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T07:49:31.4607551Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T07:49:31.4607835Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T07:49:31.4608091Z * [new tag] trunk/ada43ed39c80b746b4822c92640a1882619e2795 -> trunk/ada43ed39c80b746b4822c92640a1882619e2795 2025-09-07T07:49:31.4608360Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T07:49:31.4608783Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T07:49:31.4609060Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T07:49:31.4609318Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T07:49:31.4609589Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T07:49:31.4609857Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T07:49:31.4610114Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T07:49:31.4610392Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T07:49:31.4610651Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T07:49:31.4610922Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T07:49:31.4611363Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T07:49:31.4611624Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T07:49:31.4611884Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T07:49:31.4612157Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T07:49:31.4612428Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T07:49:31.4612688Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T07:49:31.4612949Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T07:49:31.4613217Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T07:49:31.4613487Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T07:49:31.4613747Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T07:49:31.4614016Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T07:49:31.4614293Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T07:49:31.4614548Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T07:49:31.4614898Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T07:49:31.4615273Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T07:49:31.4615544Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T07:49:31.4615811Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T07:49:31.4616188Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T07:49:31.4616471Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T07:49:31.4616734Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T07:49:31.4616995Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T07:49:31.4617248Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T07:49:31.4617778Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T07:49:31.4618042Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T07:49:31.4618316Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T07:49:31.4618572Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T07:49:31.4618839Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T07:49:31.4619271Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T07:49:31.4619548Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T07:49:31.4619813Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T07:49:31.4620077Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T07:49:31.4620345Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T07:49:31.4620608Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T07:49:31.4620872Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T07:49:31.4621132Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T07:49:31.4621387Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T07:49:31.4621659Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T07:49:31.4621921Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T07:49:31.4622185Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T07:49:31.4622455Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T07:49:31.4622723Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T07:49:31.4622976Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T07:49:31.4623234Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T07:49:31.4623494Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T07:49:31.4623880Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T07:49:31.4624156Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T07:49:31.4624420Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T07:49:31.4624686Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T07:49:31.4624951Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T07:49:31.4625230Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T07:49:31.4625503Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T07:49:31.4625769Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T07:49:31.4626027Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T07:49:31.4626405Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T07:49:31.4626678Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T07:49:31.4626935Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T07:49:31.4627201Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T07:49:31.4627594Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T07:49:31.4627861Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T07:49:31.4628117Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T07:49:31.4628383Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T07:49:31.4628648Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T07:49:31.4628899Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T07:49:31.4629154Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T07:49:31.4629420Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T07:49:31.4629698Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T07:49:31.4629958Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T07:49:31.4630229Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T07:49:31.4630496Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T07:49:31.4630770Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T07:49:31.4631173Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T07:49:31.4631448Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T07:49:31.4631709Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T07:49:31.4631979Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T07:49:31.4632251Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T07:49:31.4632509Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T07:49:31.4632775Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T07:49:31.4633037Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T07:49:31.4633295Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T07:49:31.4633570Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T07:49:31.4633979Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T07:49:31.4634243Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T07:49:31.4634502Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T07:49:31.4634609Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T07:49:31.4634716Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T07:49:31.4634811Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T07:49:31.4634913Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T07:49:31.4635009Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T07:49:31.4635111Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T07:49:31.4635202Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T07:49:31.4635292Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T07:49:31.4635385Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T07:49:31.4635475Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T07:49:31.4635569Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T07:49:31.4635662Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T07:49:31.4635751Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T07:49:31.4635847Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T07:49:31.4635935Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T07:49:31.4636028Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T07:49:31.4636121Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T07:49:31.4636216Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T07:49:31.4636324Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T07:49:31.4636415Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T07:49:31.4636511Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T07:49:31.4636604Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T07:49:31.4636830Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T07:49:31.4636947Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T07:49:31.4637045Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T07:49:31.4637162Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T07:49:31.4637393Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T07:49:31.4637498Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T07:49:31.4637593Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T07:49:31.4637693Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T07:49:31.4637787Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T07:49:31.4637884Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T07:49:31.4637983Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T07:49:31.4638080Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T07:49:31.4638180Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T07:49:31.4638277Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T07:49:31.4638375Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T07:49:31.4638638Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T07:49:31.4638736Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T07:49:31.4638836Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T07:49:31.4638929Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T07:49:31.4639026Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T07:49:31.4639131Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T07:49:31.4639229Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T07:49:31.4639329Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T07:49:31.4639426Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T07:49:31.4639523Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T07:49:31.4639640Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T07:49:31.4639740Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T07:49:31.4639835Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T07:49:31.4639934Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T07:49:31.4640036Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T07:49:31.4640133Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T07:49:31.4640233Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T07:49:31.4640335Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T07:49:31.4640429Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T07:49:31.4640526Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T07:49:31.4640624Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T07:49:31.4640724Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T07:49:31.4640835Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T07:49:31.4640934Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T07:49:31.4641034Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T07:49:31.4641125Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T07:49:31.4641365Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T07:49:31.4641479Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T07:49:31.4641578Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T07:49:31.4641673Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T07:49:31.4641772Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T07:49:31.4641866Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T07:49:31.4641957Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T07:49:31.4642052Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T07:49:31.4642145Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T07:49:31.4642236Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T07:49:31.4642344Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T07:49:31.4642446Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T07:49:31.4642545Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T07:49:31.4642645Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T07:49:31.4642743Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T07:49:31.4642948Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T07:49:31.4643048Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T07:49:31.4643141Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T07:49:31.4643242Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T07:49:31.4643339Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T07:49:31.4643437Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T07:49:31.4643538Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T07:49:31.4643634Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T07:49:31.4643736Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T07:49:31.4643831Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T07:49:31.4643931Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T07:49:31.4644027Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T07:49:31.4644126Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T07:49:31.4644221Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T07:49:31.4644319Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T07:49:31.4644419Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T07:49:31.4644521Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T07:49:31.4644620Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T07:49:31.4644717Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T07:49:31.4644822Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T07:49:31.4644937Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T07:49:31.4645035Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T07:49:31.4645135Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T07:49:31.4645232Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T07:49:31.4645326Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T07:49:31.4645420Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T07:49:31.4645633Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T07:49:31.4645752Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T07:49:31.4645853Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T07:49:31.4645949Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T07:49:31.4646045Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T07:49:31.4646144Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T07:49:31.4646244Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T07:49:31.4646340Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T07:49:31.4646439Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T07:49:31.4646533Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T07:49:31.4646635Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T07:49:31.4646739Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T07:49:31.4646836Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T07:49:31.4646932Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T07:49:31.4647031Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T07:49:31.4647235Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T07:49:31.4647465Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T07:49:31.4647564Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T07:49:31.4647664Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T07:49:31.4647760Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T07:49:31.4647856Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T07:49:31.4647958Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T07:49:31.4648056Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T07:49:31.4648158Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T07:49:31.4648256Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T07:49:31.4648353Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T07:49:31.4648450Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T07:49:31.4648545Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T07:49:31.4648643Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T07:49:31.4648739Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T07:49:31.4648838Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T07:49:31.4648936Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T07:49:31.4649030Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T07:49:31.4649128Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T07:49:31.4649223Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T07:49:31.4649322Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T07:49:31.4649421Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T07:49:31.4649519Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T07:49:31.4649615Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T07:49:31.4649723Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T07:49:31.4649826Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T07:49:31.4649921Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T07:49:31.4650168Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T07:49:31.4650277Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T07:49:31.4650375Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T07:49:31.4650475Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T07:49:31.4650576Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T07:49:31.4650672Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T07:49:31.4650768Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T07:49:31.4650864Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T07:49:31.4650972Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T07:49:31.4651068Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T07:49:31.4651168Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T07:49:31.4651266Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T07:49:31.4651364Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T07:49:31.4651459Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T07:49:31.4651695Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T07:49:31.4651796Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T07:49:31.4651890Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T07:49:31.4651997Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T07:49:31.4652095Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T07:49:31.4652193Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T07:49:31.4652304Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T07:49:31.4652405Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T07:49:31.4652505Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T07:49:31.4652603Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T07:49:31.4652700Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T07:49:31.4652801Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T07:49:31.4652895Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T07:49:31.4652994Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T07:49:31.4653089Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T07:49:31.4653191Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T07:49:31.4653293Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T07:49:31.4653390Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T07:49:31.4653488Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T07:49:31.4653584Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T07:49:31.4653682Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T07:49:31.4653779Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T07:49:31.4653874Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T07:49:31.4653970Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T07:49:31.4654066Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T07:49:31.4654164Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T07:49:31.4654259Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T07:49:31.4654483Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T07:49:31.4654599Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T07:49:31.4654697Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T07:49:31.4654867Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T07:49:31.4654973Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T07:49:31.4655073Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T07:49:31.4655174Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T07:49:31.4655271Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T07:49:31.4655365Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T07:49:31.4655462Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T07:49:31.4655568Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T07:49:31.4655666Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T07:49:31.4655761Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T07:49:31.4655858Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T07:49:31.4656099Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T07:49:31.4656203Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T07:49:31.4656300Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T07:49:31.4656396Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T07:49:31.4656494Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T07:49:31.4656587Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T07:49:31.4656689Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T07:49:31.4656780Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T07:49:31.4656878Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T07:49:31.4656975Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T07:49:31.4657071Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T07:49:31.4657174Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T07:49:31.4657404Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T07:49:31.4657507Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T07:49:31.4657606Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T07:49:31.4657703Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T07:49:31.4657803Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T07:49:31.4657899Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T07:49:31.4657996Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T07:49:31.4658095Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T07:49:31.4658191Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T07:49:31.4658292Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T07:49:31.4658387Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T07:49:31.4658486Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T07:49:31.4658582Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T07:49:31.4658679Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T07:49:31.4658774Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T07:49:31.4659028Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T07:49:31.4659145Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T07:49:31.4659243Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T07:49:31.4659345Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T07:49:31.4659444Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T07:49:31.4659539Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T07:49:31.4659641Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T07:49:31.4659732Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T07:49:31.4659830Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T07:49:31.4659927Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T07:49:31.4660026Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T07:49:31.4660126Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T07:49:31.4660221Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T07:49:31.4660321Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T07:49:31.4660416Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T07:49:31.4660673Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T07:49:31.4660793Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T07:49:31.4660899Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T07:49:31.4661006Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T07:49:32.5747404Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:49:32.5778020Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:32.5782359Z ##[endgroup] 2025-09-07T07:49:32.5782753Z ##[group]Determining the checkout info 2025-09-07T07:49:32.5783528Z ##[endgroup] 2025-09-07T07:49:32.5787141Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:49:32.7696167Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:49:32.8104532Z ##[group]Checking out the ref 2025-09-07T07:49:32.8104929Z [command]/usr/bin/git checkout --progress 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You can look around, make experimental 2025-09-07T07:49:34.9619443Z changes and commit them, and you can discard any commits you make in this 2025-09-07T07:49:34.9620659Z state without impacting any branches by switching back to a branch. 2025-09-07T07:49:34.9621380Z 2025-09-07T07:49:34.9621835Z If you want to create a new branch to retain commits you create, you may 2025-09-07T07:49:34.9623043Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T07:49:34.9623751Z 2025-09-07T07:49:34.9624026Z git switch -c 2025-09-07T07:49:34.9624502Z 2025-09-07T07:49:34.9624758Z Or undo this operation with: 2025-09-07T07:49:34.9625208Z 2025-09-07T07:49:34.9625420Z git switch - 2025-09-07T07:49:34.9626353Z 2025-09-07T07:49:34.9627095Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T07:49:34.9628088Z 2025-09-07T07:49:34.9628337Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:49:34.9733109Z ##[endgroup] 2025-09-07T07:49:34.9733510Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:49:34.9738978Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:49:35.1416886Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:49:35.1450590Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:49:35.2369936Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:49:35.2768713Z ##[endgroup] 2025-09-07T07:49:35.2769186Z ##[group]Fetching submodules 2025-09-07T07:49:35.2771571Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:49:35.7851197Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:49:35.9631723Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T07:49:36.0810076Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T07:49:36.1999515Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T07:49:36.3185370Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T07:49:36.4300254Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T07:49:36.5384541Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T07:49:36.6565907Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T07:49:36.7785960Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T07:49:36.8976746Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T07:49:37.0215569Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T07:49:37.1388760Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T07:49:37.2650432Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T07:49:37.3878935Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T07:49:37.5039499Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T07:49:37.9236324Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T07:49:37.9260320Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T07:49:37.9419865Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T07:49:38.0533446Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T07:49:38.1674707Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:49:38.2989175Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T07:49:38.4122835Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T07:49:38.5392529Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T07:49:38.6088275Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T07:49:38.7297934Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T07:49:38.8324564Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T07:49:39.2844489Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T07:49:39.2874652Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T07:49:39.4444825Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T07:49:39.5598001Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T07:49:39.6730346Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T07:49:39.7829685Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T07:49:40.1362311Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T07:49:40.1374191Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T07:49:40.1402226Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T07:49:40.2444129Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T07:49:40.3347714Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T07:49:40.4644335Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T07:49:40.4689066Z Cloning into '/home/grace/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T07:49:42.6750078Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T07:49:44.3621174Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T07:49:46.5920318Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T07:49:49.0505190Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T07:49:52.0483121Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T07:49:56.1795779Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T07:50:12.0913204Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T07:50:18.7247192Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T07:50:20.7810491Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T07:50:26.5180787Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T07:50:29.0020538Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T07:50:31.6383949Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T07:50:34.5849196Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T07:50:38.5616358Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T07:50:42.2654894Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T07:50:44.3915442Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T07:50:48.3126937Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T07:50:51.2236031Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T07:50:53.5913239Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T07:50:55.3637411Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T07:50:58.2336514Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T07:51:00.0552078Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T07:51:01.8121307Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T07:51:05.9594678Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T07:51:07.7723541Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T07:51:10.4745844Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T07:51:23.2040738Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T07:51:28.4344518Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T07:51:35.5963319Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T07:51:37.2120704Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T07:51:48.0694160Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T07:51:48.2856444Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T07:51:48.5333814Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T07:51:49.3313575Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T07:51:49.6472841Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T07:51:50.4049793Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T07:51:50.8179393Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:51:50.8314159Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:51:50.8420985Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:51:50.8699522Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:51:50.9490075Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:51:51.0022873Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:51:51.7873567Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:51:51.9472801Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:51:51.9507994Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:51:51.9543565Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T07:51:55.4627989Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:51:55.4885633Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:51:55.8255710Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:51:55.8759412Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:51:55.9738969Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:51:56.0183761Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:51:56.6672416Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:51:56.8386917Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:51:56.8414314Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T07:51:56.8419849Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:51:56.8424812Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:51:56.8429983Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T07:51:56.8434776Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T07:51:56.8440194Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:51:56.8445460Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T07:51:56.8477120Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T07:51:58.0640038Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T07:51:58.9552846Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T07:52:01.5820120Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T07:52:14.8846995Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T07:52:18.2724209Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T07:52:19.2964096Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T07:52:35.4185510Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:52:35.9417984Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:52:36.0601706Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:52:37.0090542Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:52:37.1385708Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:52:37.1904601Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:52:37.6941784Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:52:37.8155620Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:52:37.9625869Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:52:38.0438750Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:52:38.0476986Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T07:52:43.3800966Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T07:52:48.3344797Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:52:49.1719074Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:52:49.5940214Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:52:49.7281781Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:52:49.7784719Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:52:50.1760465Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:52:50.2789294Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:52:50.3589672Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:52:50.4793995Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T07:52:50.4827926Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T07:53:16.2206835Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:53:16.2874539Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:53:16.5966070Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:53:16.7116222Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:53:16.7713185Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:53:16.8221324Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:53:16.8254687Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T07:53:19.8103814Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T07:53:24.3019633Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T07:53:27.9107667Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:53:28.0901376Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:53:28.3095616Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:53:28.4877619Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:53:28.5941655Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:53:28.7157376Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:53:28.7951320Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:53:29.0857014Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:53:29.2083388Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:53:29.2128739Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T07:53:32.2031233Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T07:53:34.0534956Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T07:53:36.6935554Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T07:53:38.0745664Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T07:53:40.3378427Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T07:53:43.1175520Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T07:53:57.4101401Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T07:53:59.6449890Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:53:59.7512075Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:53:59.9595562Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:54:00.0391921Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:54:00.1044621Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:54:00.1078340Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T07:54:02.5933435Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:54:02.6732294Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:54:02.7375705Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:54:03.1699272Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:54:03.2455216Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:54:03.3584223Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:54:03.4762192Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:54:03.8077569Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:54:03.9200788Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:54:04.1656187Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:54:05.1242882Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:54:05.2954189Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T07:54:05.5476350Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T07:54:07.9671121Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:54:08.0860737Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:54:08.2240331Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:54:08.4921044Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:54:08.5840269Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:54:08.5880854Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:54:08.6339852Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:54:08.8511890Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:54:08.9470480Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:54:09.0857778Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:54:09.0895396Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T07:54:11.0593190Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T07:54:13.7295640Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T07:54:15.4893235Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T07:54:30.4003258Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T07:54:31.8709616Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T07:54:33.5830936Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T07:54:35.2547620Z Cloning into '/home/grace/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T07:54:47.5157497Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:54:47.6010684Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:54:47.6783273Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:54:47.8600644Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:54:47.9370230Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:54:48.0281669Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:54:48.1073339Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:54:48.1913727Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:54:48.3100031Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 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file:/home/grace/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:55:18.7736097Z Entering 'third_party/FP16' 2025-09-07T07:55:18.8115473Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:55:18.8136595Z Entering 'third_party/FXdiv' 2025-09-07T07:55:18.8402043Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:55:18.8423231Z Entering 'third_party/NNPACK' 2025-09-07T07:55:18.8861601Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-09-07T07:55:18.8882758Z Entering 'third_party/NVTX' 2025-09-07T07:55:18.9250749Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-09-07T07:55:18.9272663Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:55:18.9536946Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-09-07T07:55:18.9559507Z Entering 'third_party/XNNPACK' 2025-09-07T07:55:18.9956228Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-09-07T07:55:18.9991221Z Entering 'third_party/aiter' 2025-09-07T07:55:19.0369763Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-09-07T07:55:19.0391283Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:55:19.0790301Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-09-07T07:55:19.0823952Z Entering 'third_party/benchmark' 2025-09-07T07:55:19.1179174Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:55:19.1200692Z Entering 'third_party/composable_kernel' 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file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2025-09-07T07:55:20.3711619Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:55:20.4071740Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2025-09-07T07:55:20.4093039Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:55:20.4491146Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T07:55:20.4515763Z Entering 'third_party/kleidiai' 2025-09-07T07:55:20.4708646Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-09-07T07:55:20.4732113Z Entering 'third_party/mimalloc' 2025-09-07T07:55:20.5096972Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T07:55:20.5119004Z Entering 'third_party/nlohmann' 2025-09-07T07:55:20.5506972Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T07:55:20.5530312Z Entering 'third_party/onnx' 2025-09-07T07:55:20.5958296Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T07:55:20.5993940Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:55:20.6219727Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:55:20.6246568Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:55:20.6524289Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T07:55:20.6546238Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:55:20.9494623Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:55:20.9517064Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:55:20.9789237Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:55:20.9810016Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:55:21.0139336Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T07:55:21.0161525Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:55:21.0565566Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T07:55:21.0589539Z Entering 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2025-09-07T07:55:30.9061378Z submodules: recursive 2025-09-07T07:55:30.9061564Z show-progress: false 2025-09-07T07:55:30.9061761Z repository: pytorch/pytorch 2025-09-07T07:55:30.9062069Z token: *** 2025-09-07T07:55:30.9062238Z ssh-strict: true 2025-09-07T07:55:30.9062408Z ssh-user: git 2025-09-07T07:55:30.9062590Z persist-credentials: true 2025-09-07T07:55:30.9062778Z clean: true 2025-09-07T07:55:30.9062955Z sparse-checkout-cone-mode: true 2025-09-07T07:55:30.9063422Z fetch-tags: false 2025-09-07T07:55:30.9063602Z lfs: false 2025-09-07T07:55:30.9063763Z set-safe-directory: true 2025-09-07T07:55:30.9063970Z env: 2025-09-07T07:55:30.9064125Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:55:30.9064309Z ##[endgroup] 2025-09-07T07:55:30.9972356Z Syncing repository: pytorch/pytorch 2025-09-07T07:55:30.9976034Z ##[group]Getting Git version info 2025-09-07T07:55:30.9976521Z Working directory is '/home/grace/_work/pytorch/pytorch' 2025-09-07T07:55:31.0016497Z [command]/usr/bin/git version 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2025-09-07T07:55:31.0951485Z 7e1e1fe3858c63c251c637ae41a20de425dde96f android/libs/fbjni (v0.1.0-12-g7e1e1fe) 2025-09-07T07:55:31.1037456Z 4dfe081cf6bcd15db339cf2680b9281b8451eeb3 third_party/FP16 (4dfe081) 2025-09-07T07:55:31.1125087Z b408327ac2a15ec3e43352421954f5b1967701d1 third_party/FXdiv (b408327) 2025-09-07T07:55:31.1225620Z c07e3a0400713d546e0dea2d5466dd22ea389c73 third_party/NNPACK (c07e3a0) 2025-09-07T07:55:31.1281301Z 2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07 third_party/NVTX (v3.1.0-263-g2942f16) 2025-09-07T07:55:31.1367725Z 1d8f600fd424278486eade7ed3e877c99f0846b1 third_party/VulkanMemoryAllocator (v2.1.0-982-g1d8f600) 2025-09-07T07:55:31.1832884Z 51a0103656eff6fc9bfd39a4597923c4b542c883 third_party/XNNPACK (remotes/origin/ds/ndk-1243-g51a0103656) 2025-09-07T07:55:31.1876854Z 01aae101b9e5e94d6c16a9514c9fb8df99c93150 third_party/aiter (v0.1.1-92-g01aae101) 2025-09-07T07:55:31.1905312Z 299e5928955cc62af9968370293b916f5130916f third_party/benchmark (v1.9.3) 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http.https://github.com/.extraheader 2025-09-07T07:55:34.2875499Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:55:34.2902437Z http.https://github.com/.extraheader 2025-09-07T07:55:34.3210232Z Entering 'third_party/ittapi' 2025-09-07T07:55:34.3237870Z http.https://github.com/.extraheader 2025-09-07T07:55:34.3609576Z Entering 'third_party/kineto' 2025-09-07T07:55:34.3640615Z http.https://github.com/.extraheader 2025-09-07T07:55:34.4367805Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:55:34.4395730Z http.https://github.com/.extraheader 2025-09-07T07:55:34.4784348Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:55:34.4812056Z http.https://github.com/.extraheader 2025-09-07T07:55:34.5101653Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:55:34.5127740Z http.https://github.com/.extraheader 2025-09-07T07:55:34.5515453Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:55:34.5541730Z http.https://github.com/.extraheader 2025-09-07T07:55:34.5855766Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:55:34.5882005Z http.https://github.com/.extraheader 2025-09-07T07:55:34.6205216Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:55:34.6233486Z http.https://github.com/.extraheader 2025-09-07T07:55:34.6588644Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:55:34.6614560Z http.https://github.com/.extraheader 2025-09-07T07:55:34.7033936Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:55:34.7060037Z http.https://github.com/.extraheader 2025-09-07T07:55:34.7371442Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:55:34.7396935Z http.https://github.com/.extraheader 2025-09-07T07:55:34.7809233Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:55:34.7835126Z http.https://github.com/.extraheader 2025-09-07T07:55:34.8121358Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:55:34.8149341Z http.https://github.com/.extraheader 2025-09-07T07:55:34.8448186Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:55:34.8475044Z http.https://github.com/.extraheader 2025-09-07T07:55:34.8904402Z Entering 'third_party/kleidiai' 2025-09-07T07:55:34.8933776Z http.https://github.com/.extraheader 2025-09-07T07:55:34.9086444Z Entering 'third_party/mimalloc' 2025-09-07T07:55:34.9115836Z http.https://github.com/.extraheader 2025-09-07T07:55:34.9556706Z Entering 'third_party/nlohmann' 2025-09-07T07:55:34.9586659Z http.https://github.com/.extraheader 2025-09-07T07:55:35.0023932Z Entering 'third_party/onnx' 2025-09-07T07:55:35.0053872Z http.https://github.com/.extraheader 2025-09-07T07:55:35.0356505Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:55:35.0384699Z http.https://github.com/.extraheader 2025-09-07T07:55:35.0733504Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:55:35.0763664Z http.https://github.com/.extraheader 2025-09-07T07:55:35.1169962Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:55:35.1196139Z http.https://github.com/.extraheader 2025-09-07T07:55:35.1452608Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:55:35.1481002Z http.https://github.com/.extraheader 2025-09-07T07:55:35.1850615Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:55:35.1878368Z http.https://github.com/.extraheader 2025-09-07T07:55:35.2136448Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:55:35.2164854Z http.https://github.com/.extraheader 2025-09-07T07:55:35.2574999Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:55:35.2601646Z http.https://github.com/.extraheader 2025-09-07T07:55:35.3029941Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:55:35.3055852Z http.https://github.com/.extraheader 2025-09-07T07:55:35.3259151Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:55:35.3287618Z http.https://github.com/.extraheader 2025-09-07T07:55:35.4055837Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:55:35.4082995Z http.https://github.com/.extraheader 2025-09-07T07:55:35.4404753Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:55:35.4430698Z http.https://github.com/.extraheader 2025-09-07T07:55:35.4791803Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:55:35.4819023Z http.https://github.com/.extraheader 2025-09-07T07:55:35.5410439Z Entering 'third_party/pocketfft' 2025-09-07T07:55:35.5440267Z http.https://github.com/.extraheader 2025-09-07T07:55:35.5855453Z Entering 'third_party/protobuf' 2025-09-07T07:55:35.5885018Z http.https://github.com/.extraheader 2025-09-07T07:55:35.6211193Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:55:35.6238197Z http.https://github.com/.extraheader 2025-09-07T07:55:35.6993552Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:55:35.7021465Z http.https://github.com/.extraheader 2025-09-07T07:55:35.7268394Z Entering 'third_party/psimd' 2025-09-07T07:55:35.7298299Z http.https://github.com/.extraheader 2025-09-07T07:55:35.7735625Z Entering 'third_party/pthreadpool' 2025-09-07T07:55:35.7771211Z http.https://github.com/.extraheader 2025-09-07T07:55:35.8212353Z Entering 'third_party/pybind11' 2025-09-07T07:55:35.8240604Z http.https://github.com/.extraheader 2025-09-07T07:55:35.8467019Z Entering 'third_party/python-peachpy' 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:55:36.1208948Z http.https://github.com/.extraheader 2025-09-07T07:55:36.1531775Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:55:36.2637659Z ##[endgroup] 2025-09-07T07:55:36.2638058Z ##[group]Fetching the repository 2025-09-07T07:55:36.2646705Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:55:37.0206325Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:55:37.0235424Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:55:37.0241099Z ##[endgroup] 2025-09-07T07:55:37.0244087Z ##[group]Determining the checkout info 2025-09-07T07:55:37.0244497Z ##[endgroup] 2025-09-07T07:55:37.0245615Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:55:37.2092178Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:55:37.2452351Z ##[group]Checking out the ref 2025-09-07T07:55:37.2457206Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:55:37.3530722Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:55:37.3541550Z ##[endgroup] 2025-09-07T07:55:37.3541935Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:55:37.3546840Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:55:37.4974860Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:55:37.5006047Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:55:37.5850613Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:55:37.6245584Z ##[endgroup] 2025-09-07T07:55:37.6246017Z ##[group]Fetching submodules 2025-09-07T07:55:37.6249882Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:55:37.6960890Z Synchronizing submodule url for 'android/libs/fbjni' 2025-09-07T07:55:37.7880800Z Synchronizing submodule url for 'third_party/FP16' 2025-09-07T07:55:37.8610459Z Synchronizing submodule url for 'third_party/FXdiv' 2025-09-07T07:55:37.9360240Z Synchronizing submodule url for 'third_party/NNPACK' 2025-09-07T07:55:38.0408454Z Synchronizing submodule url for 'third_party/NVTX' 2025-09-07T07:55:38.1139985Z Synchronizing submodule url for 'third_party/VulkanMemoryAllocator' 2025-09-07T07:55:38.1911428Z Synchronizing submodule url for 'third_party/XNNPACK' 2025-09-07T07:55:38.2668810Z Synchronizing submodule url for 'third_party/aiter' 2025-09-07T07:55:38.3515090Z Synchronizing submodule url for 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:55:38.4296390Z Synchronizing submodule url for 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Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:55:40.7913791Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:55:40.8715871Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:55:41.1868813Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:55:41.2489057Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:55:41.3872907Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:55:41.4747987Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:55:41.4962592Z Synchronizing submodule url for 'third_party/kleidiai' 2025-09-07T07:55:41.5138439Z Synchronizing submodule url for 'third_party/mimalloc' 2025-09-07T07:55:41.5339099Z Synchronizing submodule url for 'third_party/nlohmann' 2025-09-07T07:55:41.5539223Z Synchronizing submodule url for 'third_party/onnx' 2025-09-07T07:55:41.5717995Z Synchronizing submodule url for 'third_party/onnx/third_party/pybind11' 2025-09-07T07:55:41.5933864Z Synchronizing submodule url for 'third_party/opentelemetry-cpp' 2025-09-07T07:55:41.6133885Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:55:41.6310989Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:55:41.6403879Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:55:41.6551263Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:55:41.6659933Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:55:41.6779174Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:55:41.6963678Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:55:41.7225777Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:55:41.7462686Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:55:41.7696319Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:55:41.7855426Z Synchronizing submodule url for 'third_party/pocketfft' 2025-09-07T07:55:41.8147072Z Synchronizing submodule url for 'third_party/protobuf' 2025-09-07T07:55:41.8397642Z Synchronizing submodule url for 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:55:41.8564120Z Synchronizing submodule url for 'third_party/protobuf/third_party/googletest' 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:55:42.8394941Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:55:42.9089278Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:55:42.9564623Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:55:43.0085886Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:55:43.0651459Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:55:43.1903556Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:55:43.2858554Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:55:44.5363921Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:55:44.7813461Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:55:45.0696751Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:55:45.1504698Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:55:45.8901574Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:55:46.0006559Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:55:46.1302326Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:55:46.1841392Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:55:47.1175400Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:55:47.4198882Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:55:47.4881064Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:55:47.7471462Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:55:47.8383797Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:55:48.7548861Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:55:48.7982398Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:55:49.0855465Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:55:49.1826691Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:55:49.2635790Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:55:49.5099542Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:55:50.0294840Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:55:50.2360460Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:55:50.2700484Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:55:50.3147742Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:55:50.3458668Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:55:50.3928183Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:55:50.4083876Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:55:50.7504080Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:55:50.7808235Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:55:50.8792351Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:55:51.0291384Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:55:51.2202436Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:55:51.2445750Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:55:51.2784881Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:55:51.3064757Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:55:51.3905144Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:55:51.4194498Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:55:51.5868918Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:55:51.6808140Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:55:51.7043905Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:55:51.7484353Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:55:51.7860586Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:55:51.8334070Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:55:51.8849497Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:55:51.9968080Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:55:52.1035477Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:55:52.1369179Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:55:52.1945409Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:55:52.2131227Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:55:52.2553967Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:55:52.2726030Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:55:52.6532745Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:55:52.6740376Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:55:52.6915250Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:55:52.7128239Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:55:52.9829826Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:55:53.0235044Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:55:53.1936478Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:55:53.2098572Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T07:55:53.4476924Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-09-07T07:55:53.8590407Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-09-07T07:55:53.9088304Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-09-07T07:55:53.9246150Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-09-07T07:55:53.9435172Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-09-07T07:55:53.9799152Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8' 2025-09-07T07:55:54.0267885Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-09-07T07:55:54.0742142Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-09-07T07:55:54.0970537Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075' 2025-09-07T07:55:54.1334373Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-09-07T07:55:54.1633090Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-09-07T07:55:54.2179819Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-09-07T07:55:54.2444912Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' 2025-09-07T07:55:54.2616920Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' 2025-09-07T07:55:54.2663138Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-09-07T07:55:54.2935794Z Entering 'android/libs/fbjni' 2025-09-07T07:55:54.3042850Z Entering 'third_party/FP16' 2025-09-07T07:55:54.3091350Z Entering 'third_party/FXdiv' 2025-09-07T07:55:54.3147821Z Entering 'third_party/NNPACK' 2025-09-07T07:55:54.3207874Z Entering 'third_party/NVTX' 2025-09-07T07:55:54.3263948Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:55:54.3320122Z Entering 'third_party/XNNPACK' 2025-09-07T07:55:54.3382423Z Entering 'third_party/aiter' 2025-09-07T07:55:54.3487029Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:55:54.3656468Z Entering 'third_party/benchmark' 2025-09-07T07:55:54.3705576Z Entering 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2025-09-07T07:55:54.6213222Z Entering 'third_party/mimalloc' 2025-09-07T07:55:54.6269950Z Entering 'third_party/nlohmann' 2025-09-07T07:55:54.6340148Z Entering 'third_party/onnx' 2025-09-07T07:55:54.6411403Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:55:54.6475895Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:55:54.6549180Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:55:54.6640747Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:55:54.6703575Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:55:54.6761074Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:55:54.6810688Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:55:54.6853449Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:55:54.6923358Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:55:54.6972760Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:55:54.7032273Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:55:54.7080143Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:55:54.7152101Z Entering 'third_party/pocketfft' 2025-09-07T07:55:54.7233511Z Entering 'third_party/protobuf' 2025-09-07T07:55:54.7283015Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:55:54.7348294Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:55:54.7404780Z Entering 'third_party/psimd' 2025-09-07T07:55:54.7461256Z Entering 'third_party/pthreadpool' 2025-09-07T07:55:54.7522854Z Entering 'third_party/pybind11' 2025-09-07T07:55:54.7570406Z Entering 'third_party/python-peachpy' 2025-09-07T07:55:54.7620094Z Entering 'third_party/sleef' 2025-09-07T07:55:54.7676847Z Entering 'third_party/tensorpipe' 2025-09-07T07:55:54.7723362Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:55:54.7817245Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:55:54.7886130Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:55:54.7933078Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:55:54.7977417Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:55:54.8072810Z ##[endgroup] 2025-09-07T07:55:54.8073334Z ##[group]Persisting credentials for submodules 2025-09-07T07:55:54.8081444Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :" 2025-09-07T07:55:54.8343787Z Entering 'android/libs/fbjni' 2025-09-07T07:55:54.8369440Z url.https://github.com/.insteadof 2025-09-07T07:55:54.8369830Z url.https://github.com/.insteadof 2025-09-07T07:55:54.8425860Z Entering 'third_party/FP16' 2025-09-07T07:55:54.8451290Z url.https://github.com/.insteadof 2025-09-07T07:55:54.8451689Z url.https://github.com/.insteadof 2025-09-07T07:55:54.8504427Z Entering 'third_party/FXdiv' 2025-09-07T07:55:54.8529723Z url.https://github.com/.insteadof 2025-09-07T07:55:54.8530122Z url.https://github.com/.insteadof 2025-09-07T07:55:54.8593574Z Entering 'third_party/NNPACK' 2025-09-07T07:55:54.8618910Z url.https://github.com/.insteadof 2025-09-07T07:55:54.8619297Z url.https://github.com/.insteadof 2025-09-07T07:55:54.8683879Z Entering 'third_party/NVTX' 2025-09-07T07:55:54.8709700Z url.https://github.com/.insteadof 2025-09-07T07:55:54.8710078Z url.https://github.com/.insteadof 2025-09-07T07:55:54.8808862Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:55:54.8836693Z url.https://github.com/.insteadof 2025-09-07T07:55:54.8837001Z url.https://github.com/.insteadof 2025-09-07T07:55:54.8879785Z Entering 'third_party/XNNPACK' 2025-09-07T07:55:54.8907013Z url.https://github.com/.insteadof 2025-09-07T07:55:54.8907408Z url.https://github.com/.insteadof 2025-09-07T07:55:54.8960094Z Entering 'third_party/aiter' 2025-09-07T07:55:54.8987912Z url.https://github.com/.insteadof 2025-09-07T07:55:54.8988192Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9024147Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:55:54.9051768Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9052041Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9123359Z Entering 'third_party/benchmark' 2025-09-07T07:55:54.9150865Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9151133Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9185843Z Entering 'third_party/composable_kernel' 2025-09-07T07:55:54.9213391Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9213683Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9346506Z Entering 'third_party/cpp-httplib' 2025-09-07T07:55:54.9374978Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9375278Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9436634Z Entering 'third_party/cpuinfo' 2025-09-07T07:55:54.9463918Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9464250Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9533725Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:55:54.9561303Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9561616Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9599269Z Entering 'third_party/cutlass' 2025-09-07T07:55:54.9626439Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9626711Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9681384Z Entering 'third_party/fbgemm' 2025-09-07T07:55:54.9708774Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9709321Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9755002Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:55:54.9782078Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9782374Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9825940Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:55:54.9852216Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9852494Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9894393Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:55:54.9920767Z url.https://github.com/.insteadof 2025-09-07T07:55:54.9921073Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0003019Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:55:55.0029277Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0029554Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0082138Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:55:55.0109025Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0109312Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0147919Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:55:55.0173180Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0173448Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0210601Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:55:55.0236636Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0236916Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0309105Z Entering 'third_party/flash-attention' 2025-09-07T07:55:55.0336931Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0337242Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0421507Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:55:55.0448474Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0448708Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0500284Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:55:55.0525929Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0526228Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0591082Z Entering 'third_party/flatbuffers' 2025-09-07T07:55:55.0619048Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0619344Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0671333Z Entering 'third_party/fmt' 2025-09-07T07:55:55.0698902Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0699173Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0775904Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:55:55.0803490Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0803743Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0848579Z Entering 'third_party/gloo' 2025-09-07T07:55:55.0875825Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0876125Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0917484Z Entering 'third_party/googletest' 2025-09-07T07:55:55.0944911Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0945187Z url.https://github.com/.insteadof 2025-09-07T07:55:55.0991375Z Entering 'third_party/ideep' 2025-09-07T07:55:55.1018738Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1019025Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1061316Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:55:55.1088140Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1088419Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1152207Z Entering 'third_party/ittapi' 2025-09-07T07:55:55.1180919Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1181191Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1286865Z Entering 'third_party/kineto' 2025-09-07T07:55:55.1314636Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1314975Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1375724Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:55:55.1402883Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1403154Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1459467Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:55:55.1487136Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1487572Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1526481Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:55:55.1552778Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1553045Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1590717Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:55:55.1616970Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1617393Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1672530Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:55:55.1698716Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1698998Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1745442Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:55:55.1773173Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1773467Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1885436Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:55:55.1911867Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1912133Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1968773Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:55:55.1994668Z url.https://github.com/.insteadof 2025-09-07T07:55:55.1995012Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2072830Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:55:55.2098961Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2099236Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2181747Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:55:55.2209013Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2209311Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2269802Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:55:55.2296257Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2296538Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2348316Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:55:55.2374161Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2374454Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2417131Z Entering 'third_party/kleidiai' 2025-09-07T07:55:55.2444795Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2445087Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2487411Z Entering 'third_party/mimalloc' 2025-09-07T07:55:55.2514923Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2515269Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2561096Z Entering 'third_party/nlohmann' 2025-09-07T07:55:55.2588476Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2588749Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2636502Z Entering 'third_party/onnx' 2025-09-07T07:55:55.2664565Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2664896Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2797616Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:55:55.2826052Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2826334Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2880176Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:55:55.2908301Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2908577Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2971776Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:55:55.2999105Z url.https://github.com/.insteadof 2025-09-07T07:55:55.2999417Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3063194Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:55:55.3090601Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3181735Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3182107Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:55:55.3208430Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3208728Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3254878Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:55:55.3281497Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3281783Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3319663Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:55:55.3346138Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3346411Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3383899Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:55:55.3410997Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3411273Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3488326Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:55:55.3514077Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3514397Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3577662Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:55:55.3605318Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3605617Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3667974Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:55:55.3694381Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3694700Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3779461Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:55:55.3806640Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3806953Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3868497Z Entering 'third_party/pocketfft' 2025-09-07T07:55:55.3897046Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3897464Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3934990Z Entering 'third_party/protobuf' 2025-09-07T07:55:55.3962898Z url.https://github.com/.insteadof 2025-09-07T07:55:55.3963203Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4026522Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:55:55.4055463Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4055747Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4111733Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:55:55.4138383Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4138667Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4205593Z Entering 'third_party/psimd' 2025-09-07T07:55:55.4234105Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4234762Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4272069Z Entering 'third_party/pthreadpool' 2025-09-07T07:55:55.4299877Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4300157Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4356348Z Entering 'third_party/pybind11' 2025-09-07T07:55:55.4384299Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4384649Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4448236Z Entering 'third_party/python-peachpy' 2025-09-07T07:55:55.4475807Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4476089Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4559437Z Entering 'third_party/sleef' 2025-09-07T07:55:55.4587823Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4588115Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4694411Z Entering 'third_party/tensorpipe' 2025-09-07T07:55:55.4722444Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4722739Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4799401Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:55:55.4827594Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4827858Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4892452Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:55:55.4918767Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4919054Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4952933Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:55:55.4979233Z url.https://github.com/.insteadof 2025-09-07T07:55:55.4979531Z url.https://github.com/.insteadof 2025-09-07T07:55:55.5040264Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:55:55.5066070Z url.https://github.com/.insteadof 2025-09-07T07:55:55.5066334Z url.https://github.com/.insteadof 2025-09-07T07:55:55.5132353Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:55:55.5160237Z url.https://github.com/.insteadof 2025-09-07T07:55:55.5160517Z url.https://github.com/.insteadof 2025-09-07T07:55:55.5282703Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-09-07T07:55:55.5547469Z Entering 'android/libs/fbjni' 2025-09-07T07:55:55.5649125Z file:/home/grace/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:55:55.5670826Z Entering 'third_party/FP16' 2025-09-07T07:55:55.5720731Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:55:55.5743077Z Entering 'third_party/FXdiv' 2025-09-07T07:55:55.5833007Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:55:55.5854454Z Entering 'third_party/NNPACK' 2025-09-07T07:55:55.5905020Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-09-07T07:55:55.5926314Z Entering 'third_party/NVTX' 2025-09-07T07:55:55.5985763Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-09-07T07:55:55.6007875Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:55:55.6055174Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-09-07T07:55:55.6076677Z Entering 'third_party/XNNPACK' 2025-09-07T07:55:55.6116945Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-09-07T07:55:55.6152503Z Entering 'third_party/aiter' 2025-09-07T07:55:55.6236898Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-09-07T07:55:55.6259325Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:55:55.6304302Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-09-07T07:55:55.6334613Z Entering 'third_party/benchmark' 2025-09-07T07:55:55.6404766Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:55:55.6426460Z Entering 'third_party/composable_kernel' 2025-09-07T07:55:55.9576314Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-09-07T07:55:55.9604762Z Entering 'third_party/cpp-httplib' 2025-09-07T07:55:55.9654151Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2025-09-07T07:55:55.9675435Z Entering 'third_party/cpuinfo' 2025-09-07T07:55:55.9786820Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-09-07T07:55:55.9809258Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:55:55.9869702Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-09-07T07:55:55.9891044Z Entering 'third_party/cutlass' 2025-09-07T07:55:55.9956266Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-09-07T07:55:55.9987060Z Entering 'third_party/fbgemm' 2025-09-07T07:55:56.0039163Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-09-07T07:55:56.0062589Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:55:56.0125774Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-09-07T07:55:56.0146188Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:55:56.0230445Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-09-07T07:55:56.0257129Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:55:56.0300160Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-09-07T07:55:56.0320595Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:55:56.0376400Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-09-07T07:55:56.0405019Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:55:56.0492418Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-09-07T07:55:56.0513608Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:55:56.0587641Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-09-07T07:55:56.0607195Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:55:56.0673936Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-09-07T07:55:56.0698778Z Entering 'third_party/flash-attention' 2025-09-07T07:55:56.0762796Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-09-07T07:55:56.0783868Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:55:56.0852669Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-09-07T07:55:56.0878585Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:55:56.0950135Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-09-07T07:55:56.0980623Z Entering 'third_party/flatbuffers' 2025-09-07T07:55:56.1049069Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-09-07T07:55:56.1073381Z Entering 'third_party/fmt' 2025-09-07T07:55:56.1133987Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:55:56.1156962Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:55:56.1279051Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-09-07T07:55:56.1306207Z Entering 'third_party/gloo' 2025-09-07T07:55:56.1359263Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-09-07T07:55:56.1381010Z Entering 'third_party/googletest' 2025-09-07T07:55:56.1544594Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:55:56.1566494Z Entering 'third_party/ideep' 2025-09-07T07:55:56.1620739Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-09-07T07:55:56.1640804Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:55:56.1688263Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-09-07T07:55:56.1717798Z Entering 'third_party/ittapi' 2025-09-07T07:55:56.1761069Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T07:55:56.1782860Z Entering 'third_party/kineto' 2025-09-07T07:55:56.1844696Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-09-07T07:55:56.1865317Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:55:56.1927808Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-09-07T07:55:56.1947538Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:55:56.1990556Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-09-07T07:55:56.2012376Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:55:56.2053031Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T07:55:56.2073631Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:55:56.2175119Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:55:56.2195878Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:55:56.2284947Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-09-07T07:55:56.2304063Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:55:56.2417438Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2025-09-07T07:55:56.2441051Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:55:56.2538381Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T07:55:56.2559158Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:55:56.2623152Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:55:56.2643743Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:55:56.2729298Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2025-09-07T07:55:56.2751012Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:55:56.2902416Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2025-09-07T07:55:56.2925772Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:55:56.3062136Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2025-09-07T07:55:56.3082270Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:55:56.3152018Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T07:55:56.3175504Z Entering 'third_party/kleidiai' 2025-09-07T07:55:56.3262277Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-09-07T07:55:56.3283980Z Entering 'third_party/mimalloc' 2025-09-07T07:55:56.3325858Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T07:55:56.3347169Z Entering 'third_party/nlohmann' 2025-09-07T07:55:56.3438656Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T07:55:56.3461355Z Entering 'third_party/onnx' 2025-09-07T07:55:56.3538778Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T07:55:56.3574182Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:55:56.3771171Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:55:56.3796765Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:55:56.3843636Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T07:55:56.3865274Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:55:56.3936440Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:55:56.3957817Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:55:56.4015755Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:55:56.4036448Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:55:56.4126648Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T07:55:56.4147920Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:55:56.4200557Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T07:55:56.4222172Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:55:56.4327725Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T07:55:56.4347403Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:55:56.4446734Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2025-09-07T07:55:56.4467055Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:55:56.4582442Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2025-09-07T07:55:56.4601242Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:55:56.4647058Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2025-09-07T07:55:56.4669379Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:55:56.4710517Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-09-07T07:55:56.4733166Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:55:56.4822797Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T07:55:56.4862636Z Entering 'third_party/pocketfft' 2025-09-07T07:55:56.4912874Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T07:55:56.4934071Z Entering 'third_party/protobuf' 2025-09-07T07:55:56.4977565Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T07:55:56.5000733Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:55:56.5061080Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:55:56.5081479Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:55:56.5128745Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:55:56.5152509Z Entering 'third_party/psimd' 2025-09-07T07:55:56.5193399Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2025-09-07T07:55:56.5214684Z Entering 'third_party/pthreadpool' 2025-09-07T07:55:56.5279257Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2025-09-07T07:55:56.5300209Z Entering 'third_party/pybind11' 2025-09-07T07:55:56.5352997Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:55:56.5374484Z Entering 'third_party/python-peachpy' 2025-09-07T07:55:56.5444771Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2025-09-07T07:55:56.5465486Z Entering 'third_party/sleef' 2025-09-07T07:55:56.5515443Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2025-09-07T07:55:56.5537005Z Entering 'third_party/tensorpipe' 2025-09-07T07:55:56.5640970Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2025-09-07T07:55:56.5661359Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:55:56.5732613Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:55:56.5753093Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:55:56.5855646Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-09-07T07:55:56.5875555Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:55:56.5935913Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-09-07T07:55:56.5956557Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:55:56.6002225Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:55:56.6020917Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:55:56.6090125Z file:/home/grace/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-09-07T07:55:56.7880688Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T07:55:56.8149878Z Entering 'android/libs/fbjni' 2025-09-07T07:55:56.8196607Z Entering 'third_party/FP16' 2025-09-07T07:55:56.8244361Z Entering 'third_party/FXdiv' 2025-09-07T07:55:56.8346511Z Entering 'third_party/NNPACK' 2025-09-07T07:55:56.8398676Z Entering 'third_party/NVTX' 2025-09-07T07:55:56.8447237Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:55:56.8490971Z Entering 'third_party/XNNPACK' 2025-09-07T07:55:56.8552788Z Entering 'third_party/aiter' 2025-09-07T07:55:56.8601263Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:55:56.8716010Z Entering 'third_party/benchmark' 2025-09-07T07:55:56.8765449Z Entering 'third_party/composable_kernel' 2025-09-07T07:55:56.8822651Z Entering 'third_party/cpp-httplib' 2025-09-07T07:55:56.8870739Z Entering 'third_party/cpuinfo' 2025-09-07T07:55:56.8917237Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:55:56.8964643Z Entering 'third_party/cutlass' 2025-09-07T07:55:56.9022371Z Entering 'third_party/fbgemm' 2025-09-07T07:55:56.9077675Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:55:56.9176552Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:55:56.9233015Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:55:56.9280241Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:55:56.9335050Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:55:56.9383801Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:55:56.9430570Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:55:56.9480715Z Entering 'third_party/flash-attention' 2025-09-07T07:55:56.9532961Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:55:56.9593002Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:55:56.9649274Z Entering 'third_party/flatbuffers' 2025-09-07T07:55:56.9701069Z Entering 'third_party/fmt' 2025-09-07T07:55:56.9748580Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:55:56.9801870Z Entering 'third_party/gloo' 2025-09-07T07:55:56.9861618Z Entering 'third_party/googletest' 2025-09-07T07:55:56.9918012Z Entering 'third_party/ideep' 2025-09-07T07:55:57.0014150Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:55:57.0068407Z Entering 'third_party/ittapi' 2025-09-07T07:55:57.0114539Z Entering 'third_party/kineto' 2025-09-07T07:55:57.0159222Z Entering 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2025-09-07T07:55:57.4639859Z Entering 'third_party/googletest' 2025-09-07T07:55:57.4692643Z Entering 'third_party/ideep' 2025-09-07T07:55:57.4738699Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:55:57.4792056Z Entering 'third_party/ittapi' 2025-09-07T07:55:57.4841066Z Entering 'third_party/kineto' 2025-09-07T07:55:57.4932473Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:55:57.4972064Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:55:57.5022522Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:55:57.5064935Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:55:57.5109580Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:55:57.5149353Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:55:57.5195944Z Entering 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'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:55:57.5901566Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:55:57.5949049Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:55:57.5996928Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:55:57.6040924Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:55:57.6088278Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:55:57.6130143Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:55:57.6184310Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:55:57.6233711Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:55:57.6282566Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:55:57.6355490Z Entering 'third_party/pocketfft' 2025-09-07T07:55:57.6404865Z Entering 'third_party/protobuf' 2025-09-07T07:55:57.6519899Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:55:57.6565534Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:55:57.6677756Z Entering 'third_party/psimd' 2025-09-07T07:55:57.6724566Z Entering 'third_party/pthreadpool' 2025-09-07T07:55:57.6776753Z Entering 'third_party/pybind11' 2025-09-07T07:55:57.6875908Z Entering 'third_party/python-peachpy' 2025-09-07T07:55:57.6932095Z Entering 'third_party/sleef' 2025-09-07T07:55:57.6976339Z Entering 'third_party/tensorpipe' 2025-09-07T07:55:57.7047657Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:55:57.7111594Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:55:57.7153907Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:55:57.7200635Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:55:57.7252653Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:55:57.7328274Z ##[endgroup] 2025-09-07T07:55:57.7371425Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T07:55:57.7396770Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:55:57.7567794Z Prepare all required actions 2025-09-07T07:55:57.7568306Z Getting action download info 2025-09-07T07:55:57.9894091Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T07:55:57.9894348Z env: 2025-09-07T07:55:57.9894509Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:55:57.9894691Z ##[endgroup] 2025-09-07T07:55:58.0120106Z ##[group]Run set -euo pipefail 2025-09-07T07:55:58.0120437Z set -euo pipefail 2025-09-07T07:55:58.0120651Z function get_ec2_metadata() { 2025-09-07T07:55:58.0120934Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T07:55:58.0121426Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T07:55:58.0121829Z  category=$1 2025-09-07T07:55:58.0122091Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T07:55:58.0122408Z  runner_name_str=i-0d3ed1ff3ccbeec77-1007 2025-09-07T07:55:58.0122723Z  if [[ -f /.inarc ]]; then 2025-09-07T07:55:58.0122976Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T07:55:58.0123248Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T07:55:58.0123585Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T07:55:58.0123886Z  else 2025-09-07T07:55:58.0124494Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-09-07T07:55:58.0125397Z  fi 2025-09-07T07:55:58.0125542Z } 2025-09-07T07:55:58.0125730Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T07:55:58.0126033Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T07:55:58.0126370Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T07:55:58.0126671Z echo "system info $(uname -a)" 2025-09-07T07:55:58.0143591Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:55:58.0143889Z env: 2025-09-07T07:55:58.0144053Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:55:58.0144249Z ##[endgroup] 2025-09-07T07:55:58.0256469Z ami-id: ARC Runner, no info on ec2 metadata 2025-09-07T07:55:58.0262726Z instance-id: ARC Runner, no info on ec2 metadata 2025-09-07T07:55:58.0268410Z instance-type: ARC Runner, no info on ec2 metadata 2025-09-07T07:55:58.0279467Z system info Linux abe47d1c7e02 6.8.0-1018-aws #19~22.04.1-Ubuntu SMP Wed Oct 9 16:48:22 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T07:55:58.0298647Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:55:58.0299323Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:55:58.0315064Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:55:58.0315368Z env: 2025-09-07T07:55:58.0315520Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:55:58.0315714Z ##[endgroup] 2025-09-07T07:55:58.0483501Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:55:58.0483726Z with: 2025-09-07T07:55:58.0483870Z shell: bash 2025-09-07T07:55:58.0484031Z timeout_minutes: 5 2025-09-07T07:55:58.0484204Z max_attempts: 3 2025-09-07T07:55:58.0484371Z retry_wait_seconds: 30 2025-09-07T07:55:58.0486268Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-09-07T07:55:58.0488074Z polling_interval_seconds: 1 2025-09-07T07:55:58.0488289Z warning_on_retry: true 2025-09-07T07:55:58.0488476Z continue_on_error: false 2025-09-07T07:55:58.0488659Z env: 2025-09-07T07:55:58.0488807Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:55:58.0488985Z AWS_RETRY_MODE: standard 2025-09-07T07:55:58.0489167Z AWS_MAX_ATTEMPTS: 5 2025-09-07T07:55:58.0489348Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T07:55:58.0489542Z ##[endgroup] 2025-09-07T07:55:59.4078749Z 2025-09-07T07:55:59.4079516Z WARNING! Your credentials are stored unencrypted in '/home/grace/.docker/config.json'. 2025-09-07T07:55:59.4080281Z Configure a credential helper to remove this warning. See 2025-09-07T07:55:59.4080819Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:55:59.4081117Z 2025-09-07T07:55:59.4081230Z Login Succeeded 2025-09-07T07:56:00.1216410Z Command completed after 1 attempt(s). 2025-09-07T07:56:00.1289361Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:56:00.1289764Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:56:00.1290090Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:56:00.1306152Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:56:00.1306448Z env: 2025-09-07T07:56:00.1306616Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:56:00.1306814Z ##[endgroup] 2025-09-07T07:56:00.1398652Z ##[group]Run set +e 2025-09-07T07:56:00.1410776Z set +e 2025-09-07T07:56:00.1411263Z set -x 2025-09-07T07:56:00.1411446Z  2025-09-07T07:56:00.1411639Z PT_DOMAIN=download.pytorch.org 2025-09-07T07:56:00.1412084Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T07:56:00.1412629Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T07:56:00.1413009Z # one is returned at random 2025-09-07T07:56:00.1413317Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T07:56:00.1413595Z  2025-09-07T07:56:00.1413763Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:56:00.1414087Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T07:56:00.1414480Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T07:56:00.1414868Z  2025-09-07T07:56:00.1415048Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:56:00.1415331Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T07:56:00.1415590Z  exit 1 2025-09-07T07:56:00.1415754Z  fi 2025-09-07T07:56:00.1415902Z fi 2025-09-07T07:56:00.1416043Z  2025-09-07T07:56:00.1416227Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T07:56:00.1416487Z  # Clean up any old records first 2025-09-07T07:56:00.1416743Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T07:56:00.1416962Z fi 2025-09-07T07:56:00.1417109Z  2025-09-07T07:56:00.1417479Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T07:56:00.1417773Z cat /etc/hosts 2025-09-07T07:56:00.1432013Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:56:00.1432301Z env: 2025-09-07T07:56:00.1432461Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:56:00.1432650Z ##[endgroup] 2025-09-07T07:56:00.1465141Z + PT_DOMAIN=download.pytorch.org 2025-09-07T07:56:00.1469966Z ++ dig -4 +short download.pytorch.org 2025-09-07T07:56:00.1472049Z ++ tail -n1 2025-09-07T07:56:00.1665561Z + RESOLVED_IP=18.160.10.76 2025-09-07T07:56:00.1665882Z + '[' -z 18.160.10.76 ']' 2025-09-07T07:56:00.1666199Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T07:56:00.1681215Z + echo '18.160.10.76 download.pytorch.org' 2025-09-07T07:56:00.1681714Z + sudo tee -a /etc/hosts 2025-09-07T07:56:00.1747131Z 18.160.10.76 download.pytorch.org 2025-09-07T07:56:00.1755500Z + cat /etc/hosts 2025-09-07T07:56:00.1763751Z 127.0.0.1 localhost 2025-09-07T07:56:00.1769476Z ::1 localhost ip6-localhost ip6-loopback 2025-09-07T07:56:00.1769779Z fe00:: ip6-localnet 2025-09-07T07:56:00.1769977Z ff00:: ip6-mcastprefix 2025-09-07T07:56:00.1770173Z ff02::1 ip6-allnodes 2025-09-07T07:56:00.1770357Z ff02::2 ip6-allrouters 2025-09-07T07:56:00.1770543Z 172.17.0.2 abe47d1c7e02 2025-09-07T07:56:00.1770743Z 18.160.10.76 download.pytorch.org 2025-09-07T07:56:00.1791047Z ##[group]Run set +x 2025-09-07T07:56:00.1791291Z set +x 2025-09-07T07:56:00.1791445Z  2025-09-07T07:56:00.1791603Z max_attempts=30 2025-09-07T07:56:00.1791798Z delay=10 2025-09-07T07:56:00.1791959Z attempt=1 2025-09-07T07:56:00.1792118Z  2025-09-07T07:56:00.1792302Z for attempt in $(seq 1 $max_attempts); do 2025-09-07T07:56:00.1792821Z  echo "Attempt $attempt of $max_attempts: Checking if Docker daemon is running..." 2025-09-07T07:56:00.1793209Z  if docker info > /dev/null 2>&1; then 2025-09-07T07:56:00.1793528Z  echo "Docker is running. Proceeding with the next steps" 2025-09-07T07:56:00.1793807Z  exit 0 2025-09-07T07:56:00.1793974Z  else 2025-09-07T07:56:00.1794160Z  echo "Docker is not running yet." 2025-09-07T07:56:00.1794415Z  echo "Retrying in $delay seconds..." 2025-09-07T07:56:00.1794649Z  sleep $delay 2025-09-07T07:56:00.1794837Z  fi 2025-09-07T07:56:00.1795237Z done 2025-09-07T07:56:00.1795487Z echo "Reached maximum attempts to connect to Docker. Exiting." 2025-09-07T07:56:00.1795775Z exit 1 2025-09-07T07:56:00.1811389Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:56:00.1811683Z env: 2025-09-07T07:56:00.1811845Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:56:00.1812034Z ##[endgroup] 2025-09-07T07:56:00.1857089Z Attempt 1 of 30: Checking if Docker daemon is running... 2025-09-07T07:56:00.2248669Z Docker is running. Proceeding with the next steps 2025-09-07T07:56:00.2370442Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T07:56:00.2370802Z with: 2025-09-07T07:56:00.2371467Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:00.2372199Z use-custom-docker-registry: true 2025-09-07T07:56:00.2372439Z docker-build-dir: .ci/docker 2025-09-07T07:56:00.2372649Z docker-build-script: ./build.sh 2025-09-07T07:56:00.2372865Z working-directory: . 2025-09-07T07:56:00.2373119Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:56:00.2373400Z force-push: false 2025-09-07T07:56:00.2373568Z env: 2025-09-07T07:56:00.2373724Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:56:00.2373914Z ##[endgroup] 2025-09-07T07:56:00.2389728Z ##[group]Run set -ex 2025-09-07T07:56:00.2389965Z set -ex 2025-09-07T07:56:00.2390132Z  2025-09-07T07:56:00.2390464Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T07:56:00.2390946Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T07:56:00.2391358Z # job could then download the pre-built image as usual 2025-09-07T07:56:00.2391853Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T07:56:00.2392420Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T07:56:00.2392660Z else 2025-09-07T07:56:00.2392847Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:56:00.2393167Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:56:00.2393465Z  2025-09-07T07:56:00.2393878Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T07:56:00.2394344Z  exit 0 2025-09-07T07:56:00.2394502Z fi 2025-09-07T07:56:00.2394652Z  2025-09-07T07:56:00.2394898Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T07:56:00.2395328Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T07:56:00.2395701Z  # use it as it is, but first let's extract the tag 2025-09-07T07:56:00.2396065Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T07:56:00.2396439Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:56:00.2396791Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:56:00.2397074Z else 2025-09-07T07:56:00.2397598Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T07:56:00.2397884Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T07:56:00.2398166Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T07:56:00.2398403Z  fi 2025-09-07T07:56:00.2398721Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T07:56:00.2399151Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:56:00.2399601Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:56:00.2400331Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:56:00.2400628Z fi 2025-09-07T07:56:00.2415583Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:56:00.2415856Z env: 2025-09-07T07:56:00.2416022Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:56:00.2416223Z REPO_NAME: pytorch 2025-09-07T07:56:00.2417134Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:00.2418000Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:56:00.2418213Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T07:56:00.2418494Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:56:00.2418786Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T07:56:00.2419009Z CUSTOM_TAG_PREFIX: 2025-09-07T07:56:00.2419200Z ##[endgroup] 2025-09-07T07:56:00.2449390Z + [[ -d .ci/docker ]] 2025-09-07T07:56:00.2449604Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T07:56:00.2449821Z + [[ true == \t\r\u\e ]] 2025-09-07T07:56:00.2450001Z + echo skip=false 2025-09-07T07:56:00.2451395Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-09-07T07:56:00.2458145Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:00.2460288Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T07:56:00.2475161Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:00.2476201Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:00.2477687Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:00.2498358Z ##[group]Run set +e 2025-09-07T07:56:00.2498585Z set +e 2025-09-07T07:56:00.2498753Z set -x 2025-09-07T07:56:00.2498912Z  2025-09-07T07:56:00.2499061Z login() { 2025-09-07T07:56:00.2499512Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:56:00.2499883Z } 2025-09-07T07:56:00.2500044Z  2025-09-07T07:56:00.2500183Z retry () { 2025-09-07T07:56:00.2500376Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:56:00.2500607Z } 2025-09-07T07:56:00.2500746Z  2025-09-07T07:56:00.2500899Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:56:00.2501116Z  2025-09-07T07:56:00.2501264Z START_TIME=$(date +%s) 2025-09-07T07:56:00.2501470Z # Wait up to 120 minutes 2025-09-07T07:56:00.2501726Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T07:56:00.2502078Z  # Check if image already exists, if it does then skip building it 2025-09-07T07:56:00.2502426Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T07:56:00.2502680Z  exit 0 2025-09-07T07:56:00.2502843Z  fi 2025-09-07T07:56:00.2502988Z  2025-09-07T07:56:00.2503260Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T07:56:00.2503751Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T07:56:00.2504213Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T07:56:00.2504788Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T07:56:00.2505077Z  # It's a Docker build job, let's build the image 2025-09-07T07:56:00.2505338Z  break 2025-09-07T07:56:00.2505505Z  else 2025-09-07T07:56:00.2505758Z  # It's a regular build job, wait for the image to become available 2025-09-07T07:56:00.2506054Z  sleep 300 2025-09-07T07:56:00.2506230Z  fi 2025-09-07T07:56:00.2506385Z done 2025-09-07T07:56:00.2506532Z  2025-09-07T07:56:00.2506938Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T07:56:00.2507492Z # be empty. The default action would be to continue rebuild the image 2025-09-07T07:56:00.2507860Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T07:56:00.2508179Z  # if we're on the base branch then use the parent commit 2025-09-07T07:56:00.2508464Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T07:56:00.2508697Z else 2025-09-07T07:56:00.2508930Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T07:56:00.2509274Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T07:56:00.2509533Z fi 2025-09-07T07:56:00.2509676Z  2025-09-07T07:56:00.2509842Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T07:56:00.2510099Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:56:00.2510334Z  2025-09-07T07:56:00.2510677Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T07:56:00.2511071Z  exit 0 2025-09-07T07:56:00.2511229Z fi 2025-09-07T07:56:00.2511372Z  2025-09-07T07:56:00.2511584Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T07:56:00.2512063Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T07:56:00.2512472Z  exit 1 2025-09-07T07:56:00.2512625Z fi 2025-09-07T07:56:00.2512765Z  2025-09-07T07:56:00.2513010Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T07:56:00.2513467Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T07:56:00.2513881Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T07:56:00.2514361Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T07:56:00.2514899Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T07:56:00.2515215Z fi 2025-09-07T07:56:00.2515359Z  2025-09-07T07:56:00.2515544Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:56:00.2529791Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:56:00.2530077Z env: 2025-09-07T07:56:00.2530241Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:56:00.2530442Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:56:00.2530695Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:56:00.2531441Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:00.2532440Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:00.2533025Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:56:00.2533305Z DOCKER_PUSH: 2025-09-07T07:56:00.2533469Z ##[endgroup] 2025-09-07T07:56:00.2562564Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:56:00.2562888Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:56:00.2566138Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:56:00.2567124Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:56:00.9097054Z 2025-09-07T07:56:00.9097776Z WARNING! Your credentials are stored unencrypted in '/home/grace/.docker/config.json'. 2025-09-07T07:56:00.9098294Z Configure a credential helper to remove this warning. See 2025-09-07T07:56:00.9098660Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:56:00.9098868Z 2025-09-07T07:56:00.9098954Z Login Succeeded 2025-09-07T07:56:00.9119042Z ++ date +%s 2025-09-07T07:56:00.9130084Z + START_TIME=1757231760 2025-09-07T07:56:00.9132612Z ++ date +%s 2025-09-07T07:56:00.9140500Z + [[ 1757224560 -lt 1757231760 ]] 2025-09-07T07:56:00.9141361Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:01.1066347Z { 2025-09-07T07:56:01.1066569Z "schemaVersion": 2, 2025-09-07T07:56:01.1066938Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T07:56:01.1067470Z "config": { 2025-09-07T07:56:01.1067765Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T07:56:01.1068129Z "size": 31375, 2025-09-07T07:56:01.1068483Z "digest": "sha256:29d1d8a31b215537637bab7c99e18c255840b899cf7023e4e3cb5efa3270aef8" 2025-09-07T07:56:01.1068879Z }, 2025-09-07T07:56:01.1069042Z "layers": [ 2025-09-07T07:56:01.1069220Z { 2025-09-07T07:56:01.1069511Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1069862Z "size": 30448359, 2025-09-07T07:56:01.1070232Z "digest": "sha256:e6fdc8487bfe6d764301ef3634bc6c043841dc3ab05ca14f81e69c0f92562d46" 2025-09-07T07:56:01.1070636Z }, 2025-09-07T07:56:01.1070798Z { 2025-09-07T07:56:01.1071064Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1071414Z "size": 1554, 2025-09-07T07:56:01.1071770Z "digest": "sha256:171dcef20c49de4bc9268f60e02f111b72c638b0f24c3c5636c5013029db6d30" 2025-09-07T07:56:01.1072169Z }, 2025-09-07T07:56:01.1072331Z { 2025-09-07T07:56:01.1072599Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1072946Z "size": 313297922, 2025-09-07T07:56:01.1073307Z "digest": "sha256:4c92b3f72f1df31fe9f487fc1c27fcf1ba475ffb43abd69056306d1247786e40" 2025-09-07T07:56:01.1073701Z }, 2025-09-07T07:56:01.1073854Z { 2025-09-07T07:56:01.1074120Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1074463Z "size": 792, 2025-09-07T07:56:01.1074793Z "digest": "sha256:744f9ba90a6582eb601b3c20409bb10d6dad635dd118c3975f79721f4c82747c" 2025-09-07T07:56:01.1075196Z }, 2025-09-07T07:56:01.1075351Z { 2025-09-07T07:56:01.1075610Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1075945Z "size": 106, 2025-09-07T07:56:01.1076371Z "digest": "sha256:d3c08322a3326e45849dd80264a047c4f42ba4a2419d35c919542e2890e23934" 2025-09-07T07:56:01.1076763Z }, 2025-09-07T07:56:01.1076918Z { 2025-09-07T07:56:01.1077175Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1077644Z "size": 704, 2025-09-07T07:56:01.1077955Z "digest": "sha256:ffd43b71f3ccf3ba563606231cb1d191eb9dd0052f422d54835e6af350525170" 2025-09-07T07:56:01.1078297Z }, 2025-09-07T07:56:01.1078422Z { 2025-09-07T07:56:01.1078650Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1078947Z "size": 1215, 2025-09-07T07:56:01.1079231Z "digest": "sha256:830692b57f6e2758398ec80c3b67a20441d12696b54ed14f2ecebf926198f7d6" 2025-09-07T07:56:01.1079550Z }, 2025-09-07T07:56:01.1079680Z { 2025-09-07T07:56:01.1079907Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1080201Z "size": 482, 2025-09-07T07:56:01.1080471Z "digest": "sha256:5bad36d184686719399be50830a98939d7dbda2313fb407df5915217483fc6a3" 2025-09-07T07:56:01.1081093Z }, 2025-09-07T07:56:01.1081223Z { 2025-09-07T07:56:01.1081457Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1081747Z "size": 110343614, 2025-09-07T07:56:01.1082053Z "digest": "sha256:0e34fdd9ac5c39eb0a9d2c2d258b26f42bb79d7dc0a22014bf201daa2e033eb4" 2025-09-07T07:56:01.1082390Z }, 2025-09-07T07:56:01.1082523Z { 2025-09-07T07:56:01.1082739Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1083033Z "size": 4786, 2025-09-07T07:56:01.1083498Z "digest": "sha256:3c868a62868ef54f82ac11be8dabe1b4365d000bacfe4c104e08022fc96dd767" 2025-09-07T07:56:01.1083850Z }, 2025-09-07T07:56:01.1083975Z { 2025-09-07T07:56:01.1084197Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1084486Z "size": 1710, 2025-09-07T07:56:01.1084770Z "digest": "sha256:62170a22dd571d55ffccac64c0be17f4006d2498cfbf7c6289325f0899cba005" 2025-09-07T07:56:01.1085102Z }, 2025-09-07T07:56:01.1085235Z { 2025-09-07T07:56:01.1085472Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1085758Z "size": 724, 2025-09-07T07:56:01.1086041Z "digest": "sha256:553c1d23b6c4dbd8ab136d0c3659460391ffa14cb9b43be9d7b2f47f90895697" 2025-09-07T07:56:01.1086380Z }, 2025-09-07T07:56:01.1086509Z { 2025-09-07T07:56:01.1086727Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1087005Z "size": 543, 2025-09-07T07:56:01.1087555Z "digest": "sha256:9408d557a804a7dce00897e03ce9f4f447281eb38ce4bc331098a1f1a5ff0d30" 2025-09-07T07:56:01.1087888Z }, 2025-09-07T07:56:01.1088015Z { 2025-09-07T07:56:01.1088225Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1088514Z "size": 3241148049, 2025-09-07T07:56:01.1088814Z "digest": "sha256:df607cfc7c07db6d442e0274e2be8cdc507df8716717363aa92f2fea069bdd9a" 2025-09-07T07:56:01.1089133Z }, 2025-09-07T07:56:01.1089258Z { 2025-09-07T07:56:01.1089472Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1089751Z "size": 32, 2025-09-07T07:56:01.1090033Z "digest": 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"sha256:32340b97ae50ba7b2918ab40d6f4a8db875afee69318f484e4deb0a1e2ec4beb" 2025-09-07T07:56:01.1164871Z }, 2025-09-07T07:56:01.1165002Z { 2025-09-07T07:56:01.1165208Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1165490Z "size": 32, 2025-09-07T07:56:01.1165767Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:56:01.1166091Z }, 2025-09-07T07:56:01.1166211Z { 2025-09-07T07:56:01.1166447Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1166732Z "size": 109, 2025-09-07T07:56:01.1167019Z "digest": "sha256:5bbb04cd6b57ae13d7cf05ab9e9b4ed9752833ee2dba4eeaac47bde6022c4725" 2025-09-07T07:56:01.1167460Z }, 2025-09-07T07:56:01.1167586Z { 2025-09-07T07:56:01.1167809Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1168098Z "size": 1897, 2025-09-07T07:56:01.1168378Z "digest": "sha256:d8c4b845cfc7ca7cc0604f472bf6da8b1f1d4e98dff3c76e1985a7013a5b9e3f" 2025-09-07T07:56:01.1168709Z }, 2025-09-07T07:56:01.1168834Z { 2025-09-07T07:56:01.1169048Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1169326Z "size": 243440375, 2025-09-07T07:56:01.1169617Z "digest": "sha256:b35c180f4d8ddc2396eac4a6b893f438481a8163ceb0b88f203488bc5f2a8ba4" 2025-09-07T07:56:01.1169937Z }, 2025-09-07T07:56:01.1170064Z { 2025-09-07T07:56:01.1170270Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1170554Z "size": 106, 2025-09-07T07:56:01.1170829Z "digest": "sha256:5f967b3c303a99e609441551f7c8988cca4fd464c0c3127506bff8509583091b" 2025-09-07T07:56:01.1171146Z }, 2025-09-07T07:56:01.1171272Z { 2025-09-07T07:56:01.1171498Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1171783Z "size": 166, 2025-09-07T07:56:01.1172051Z "digest": "sha256:04770904f012e5584f1c19a0bc92d9863baaebf08bf75b4a9981f2b7795c8953" 2025-09-07T07:56:01.1172361Z }, 2025-09-07T07:56:01.1172494Z { 2025-09-07T07:56:01.1172707Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1172982Z "size": 7943, 2025-09-07T07:56:01.1173250Z "digest": "sha256:73373941fb321b4cb4a171b1423a68a4c7fedada3a1498868d7efe93cb03170e" 2025-09-07T07:56:01.1173567Z }, 2025-09-07T07:56:01.1173692Z { 2025-09-07T07:56:01.1173905Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1174336Z "size": 8072, 2025-09-07T07:56:01.1174612Z "digest": "sha256:9572e6cd907bfa4888456dbccc6e22146a0044374585f3fa0a8ced19b831ed62" 2025-09-07T07:56:01.1175020Z }, 2025-09-07T07:56:01.1175158Z { 2025-09-07T07:56:01.1175372Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1175648Z "size": 304, 2025-09-07T07:56:01.1175917Z "digest": "sha256:64a544aba233551e38898f138dd6ba3161ccdb9554e0ffb5b9d8f0f7fe4a7fa8" 2025-09-07T07:56:01.1176243Z }, 2025-09-07T07:56:01.1176362Z { 2025-09-07T07:56:01.1176700Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1176986Z "size": 13362696, 2025-09-07T07:56:01.1177376Z "digest": "sha256:7e35418a24997de5428763c93826679486760a1a9563209ae64de66ba45f99c1" 2025-09-07T07:56:01.1177683Z }, 2025-09-07T07:56:01.1177809Z { 2025-09-07T07:56:01.1178022Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1178300Z "size": 108, 2025-09-07T07:56:01.1178574Z "digest": "sha256:2ed8e82748d4a1131f41d9e41322f47a6ffef67a5a2b7bf5392237db5c035c61" 2025-09-07T07:56:01.1178894Z }, 2025-09-07T07:56:01.1179016Z { 2025-09-07T07:56:01.1179232Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1179504Z "size": 54145663, 2025-09-07T07:56:01.1179788Z "digest": "sha256:c988fbcccd708fb158a81c429d32e1060a7e40924fc3c987c629fa69d9484717" 2025-09-07T07:56:01.1180108Z }, 2025-09-07T07:56:01.1180246Z { 2025-09-07T07:56:01.1180463Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:56:01.1180738Z "size": 32, 2025-09-07T07:56:01.1181012Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:56:01.1181336Z } 2025-09-07T07:56:01.1181456Z ] 2025-09-07T07:56:01.1181584Z } 2025-09-07T07:56:01.1181730Z + exit 0 2025-09-07T07:56:01.1204074Z ##[group]Run set -eux 2025-09-07T07:56:01.1204273Z set -eux 2025-09-07T07:56:01.1204593Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T07:56:01.1205404Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-09-07T07:56:01.1222014Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:56:01.1222290Z env: 2025-09-07T07:56:01.1222447Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:56:01.1222632Z ##[endgroup] 2025-09-07T07:56:01.1255334Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T07:56:01.1258201Z + jq --raw-output .SecretString 2025-09-07T07:56:01.1259262Z + jq -r .docker_hub_readonly_token 2025-09-07T07:56:01.1261509Z + docker login --username pytorchbot --password-stdin 2025-09-07T07:56:01.7991306Z 2025-09-07T07:56:01.7991924Z WARNING! Your credentials are stored unencrypted in '/home/grace/.docker/config.json'. 2025-09-07T07:56:01.7992513Z Configure a credential helper to remove this warning. See 2025-09-07T07:56:01.7992912Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:56:01.7993129Z 2025-09-07T07:56:01.7993209Z Login Succeeded 2025-09-07T07:56:01.8072376Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:56:01.8072695Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:56:01.8072990Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T07:56:01.8088750Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:56:01.8089033Z env: 2025-09-07T07:56:01.8089196Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:56:01.8089892Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:01.8090593Z ##[endgroup] 2025-09-07T07:56:01.8126406Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:01.8167177Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T07:56:01.8167714Z with: 2025-09-07T07:56:01.8168361Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:01.8169143Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:56:01.8169423Z env: 2025-09-07T07:56:01.8169578Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:56:01.8169763Z ##[endgroup] 2025-09-07T07:56:01.8182633Z ##[group]Run set -x 2025-09-07T07:56:01.8182841Z set -x 2025-09-07T07:56:01.8183006Z set +e 2025-09-07T07:56:01.8183164Z  2025-09-07T07:56:01.8183311Z login() { 2025-09-07T07:56:01.8183675Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:56:01.8184056Z } 2025-09-07T07:56:01.8184207Z  2025-09-07T07:56:01.8184374Z retry () { 2025-09-07T07:56:01.8184565Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:56:01.8184786Z } 2025-09-07T07:56:01.8184936Z  2025-09-07T07:56:01.8185098Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:56:01.8185315Z  2025-09-07T07:56:01.8185665Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T07:56:01.8186143Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T07:56:01.8186407Z  2025-09-07T07:56:01.8186571Z set -e 2025-09-07T07:56:01.8186820Z # ignore output since only exit code is used for conditional 2025-09-07T07:56:01.8187164Z # only pull docker image if it's not available locally 2025-09-07T07:56:01.8187719Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T07:56:01.8188091Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T07:56:01.8188319Z fi 2025-09-07T07:56:01.8203700Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:56:01.8203984Z env: 2025-09-07T07:56:01.8204146Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:56:01.8204833Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:01.8205603Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:56:01.8205878Z ##[endgroup] 2025-09-07T07:56:01.8268732Z + set +e 2025-09-07T07:56:01.8268975Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:56:01.8269291Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:56:01.8272942Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:56:01.8274502Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:56:02.4617988Z 2025-09-07T07:56:02.4618574Z WARNING! Your credentials are stored unencrypted in '/home/grace/.docker/config.json'. 2025-09-07T07:56:02.4619151Z Configure a credential helper to remove this warning. See 2025-09-07T07:56:02.4619580Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:56:02.4619811Z 2025-09-07T07:56:02.4619902Z Login Succeeded 2025-09-07T07:56:02.4647543Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:02.4648799Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T07:56:02.6749073Z + IMAGE_SIZE=36183.606596946716 2025-09-07T07:56:02.6749469Z + echo 'Compressed size of image in MB: 36183.606596946716' 2025-09-07T07:56:02.6749813Z + set -e 2025-09-07T07:56:02.6751318Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:02.6752549Z Compressed size of image in MB: 36183.606596946716 2025-09-07T07:56:02.6878271Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:02.6879699Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:56:02.9447944Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T07:56:02.9448815Z e6fdc8487bfe: Pulling fs layer 2025-09-07T07:56:02.9449070Z 171dcef20c49: Pulling fs layer 2025-09-07T07:56:02.9449330Z 4c92b3f72f1d: Pulling fs layer 2025-09-07T07:56:02.9449579Z 744f9ba90a65: Pulling fs layer 2025-09-07T07:56:02.9449862Z d3c08322a332: Pulling fs layer 2025-09-07T07:56:02.9450102Z ffd43b71f3cc: Pulling fs layer 2025-09-07T07:56:02.9450338Z 830692b57f6e: Pulling fs layer 2025-09-07T07:56:02.9450566Z 5bad36d18468: Pulling fs layer 2025-09-07T07:56:02.9450800Z 0e34fdd9ac5c: Pulling fs layer 2025-09-07T07:56:02.9451023Z 3c868a62868e: Pulling fs layer 2025-09-07T07:56:02.9451257Z 62170a22dd57: Pulling fs layer 2025-09-07T07:56:02.9451486Z 553c1d23b6c4: Pulling fs layer 2025-09-07T07:56:02.9451708Z d3c08322a332: Waiting 2025-09-07T07:56:02.9451914Z 9408d557a804: Pulling fs layer 2025-09-07T07:56:02.9452159Z df607cfc7c07: Pulling fs layer 2025-09-07T07:56:02.9452388Z ffd43b71f3cc: Waiting 2025-09-07T07:56:02.9452585Z 830692b57f6e: Waiting 2025-09-07T07:56:02.9452772Z 5bad36d18468: Waiting 2025-09-07T07:56:02.9452978Z 4f4fb700ef54: Pulling fs layer 2025-09-07T07:56:02.9453230Z 40a8e39faeda: Pulling fs layer 2025-09-07T07:56:02.9453456Z 0e34fdd9ac5c: Waiting 2025-09-07T07:56:02.9453656Z d895771c9fac: Pulling fs layer 2025-09-07T07:56:02.9453897Z c4ee04f39d49: Pulling fs layer 2025-09-07T07:56:02.9454123Z 553c1d23b6c4: Waiting 2025-09-07T07:56:02.9454324Z 3690c9826e48: Pulling fs layer 2025-09-07T07:56:02.9454538Z 3c868a62868e: Waiting 2025-09-07T07:56:02.9454833Z 57cbc5013733: Pulling fs layer 2025-09-07T07:56:02.9455055Z 62170a22dd57: Waiting 2025-09-07T07:56:02.9455255Z f5f4b06b58bb: Pulling fs layer 2025-09-07T07:56:02.9455487Z f59713ce4bf4: Pulling fs layer 2025-09-07T07:56:02.9455709Z 744f9ba90a65: Waiting 2025-09-07T07:56:02.9455922Z fe0486521517: Pulling fs layer 2025-09-07T07:56:02.9456152Z 8c21cc3715a2: Pulling fs layer 2025-09-07T07:56:02.9456384Z d37c58456a6a: Pulling fs layer 2025-09-07T07:56:02.9456606Z d042f63abc13: Pulling fs layer 2025-09-07T07:56:02.9456827Z 9408d557a804: Waiting 2025-09-07T07:56:02.9457041Z 3690c9826e48: Waiting 2025-09-07T07:56:02.9457234Z df607cfc7c07: Waiting 2025-09-07T07:56:02.9457555Z 57cbc5013733: Waiting 2025-09-07T07:56:02.9457747Z 4f4fb700ef54: Waiting 2025-09-07T07:56:02.9457953Z 621284a9c05a: Pulling fs layer 2025-09-07T07:56:02.9458139Z fe0486521517: Waiting 2025-09-07T07:56:02.9458345Z 85f605d2dd3a: Pulling fs layer 2025-09-07T07:56:02.9458523Z 40a8e39faeda: Waiting 2025-09-07T07:56:02.9458689Z 8c21cc3715a2: Waiting 2025-09-07T07:56:02.9458880Z 381b5539e598: Pulling fs layer 2025-09-07T07:56:02.9459066Z d37c58456a6a: Waiting 2025-09-07T07:56:02.9459225Z f5f4b06b58bb: Waiting 2025-09-07T07:56:02.9459391Z d895771c9fac: Waiting 2025-09-07T07:56:02.9459551Z 621284a9c05a: Waiting 2025-09-07T07:56:02.9459709Z d042f63abc13: Waiting 2025-09-07T07:56:02.9459866Z a487c0c80029: Pulling fs layer 2025-09-07T07:56:02.9460053Z 85f605d2dd3a: Waiting 2025-09-07T07:56:02.9460227Z 48bcb81e2566: Pulling fs layer 2025-09-07T07:56:02.9460515Z f59713ce4bf4: Waiting 2025-09-07T07:56:02.9460740Z c4ee04f39d49: Waiting 2025-09-07T07:56:02.9461002Z e261928c0043: Pulling fs layer 2025-09-07T07:56:02.9461456Z 0fea55428091: Pulling fs layer 2025-09-07T07:56:02.9461725Z b4291bccbb84: Pulling fs layer 2025-09-07T07:56:02.9462626Z ddc91b09189a: Pulling fs layer 2025-09-07T07:56:02.9462988Z a487c0c80029: Waiting 2025-09-07T07:56:02.9474316Z b4291bccbb84: Waiting 2025-09-07T07:56:02.9474554Z 7540c7428627: Pulling fs layer 2025-09-07T07:56:02.9474763Z ddc91b09189a: Waiting 2025-09-07T07:56:02.9474949Z 0fea55428091: Waiting 2025-09-07T07:56:02.9475138Z 003c4e2598fb: Pulling fs layer 2025-09-07T07:56:02.9475346Z 5687149362ae: Pulling fs layer 2025-09-07T07:56:02.9475533Z 003c4e2598fb: Waiting 2025-09-07T07:56:02.9475714Z cdd2cf54eb2a: Pulling fs layer 2025-09-07T07:56:02.9475910Z 5687149362ae: Waiting 2025-09-07T07:56:02.9476078Z 7540c7428627: Waiting 2025-09-07T07:56:02.9476249Z d3ad4df1ba3a: Pulling fs layer 2025-09-07T07:56:02.9476438Z e261928c0043: Waiting 2025-09-07T07:56:02.9476607Z 3c9055753b4c: Pulling fs layer 2025-09-07T07:56:02.9476826Z 31cf8d0bd21c: Pulling fs layer 2025-09-07T07:56:02.9477022Z cdd2cf54eb2a: Waiting 2025-09-07T07:56:02.9477204Z 6623ea814971: Pulling fs layer 2025-09-07T07:56:02.9477598Z 11696c3aa380: Pulling fs layer 2025-09-07T07:56:02.9477797Z ef4d544e35ca: Pulling fs layer 2025-09-07T07:56:02.9477976Z d3ad4df1ba3a: Waiting 2025-09-07T07:56:02.9478149Z 5c5108865e5e: Pulling fs layer 2025-09-07T07:56:02.9478328Z 6623ea814971: Waiting 2025-09-07T07:56:02.9478499Z 11696c3aa380: Waiting 2025-09-07T07:56:02.9478648Z 3c9055753b4c: Waiting 2025-09-07T07:56:02.9478811Z 9e97578e9edf: Pulling fs layer 2025-09-07T07:56:02.9479001Z da5a91b54cb5: Pulling fs layer 2025-09-07T07:56:02.9479186Z 9e97578e9edf: Waiting 2025-09-07T07:56:02.9479358Z 1e93be219e89: Pulling fs layer 2025-09-07T07:56:02.9479543Z 1e93be219e89: Waiting 2025-09-07T07:56:02.9479710Z 136825afebb5: Pulling fs layer 2025-09-07T07:56:02.9479892Z da5a91b54cb5: Waiting 2025-09-07T07:56:02.9480048Z 5c5108865e5e: Waiting 2025-09-07T07:56:02.9480214Z 22b39805302d: Pulling fs layer 2025-09-07T07:56:02.9480397Z ef4d544e35ca: Waiting 2025-09-07T07:56:02.9480569Z d12add675e35: Pulling fs layer 2025-09-07T07:56:02.9480751Z bc127046d33a: Pulling fs layer 2025-09-07T07:56:02.9480942Z 31cf8d0bd21c: Waiting 2025-09-07T07:56:02.9481111Z 951e8ce83841: Pulling fs layer 2025-09-07T07:56:02.9481290Z 136825afebb5: Waiting 2025-09-07T07:56:02.9481448Z 32340b97ae50: Pulling fs layer 2025-09-07T07:56:02.9481628Z bc127046d33a: Waiting 2025-09-07T07:56:02.9481786Z 22b39805302d: Waiting 2025-09-07T07:56:02.9481942Z d12add675e35: Waiting 2025-09-07T07:56:02.9482095Z 32340b97ae50: Waiting 2025-09-07T07:56:02.9482276Z 5bbb04cd6b57: Pulling fs layer 2025-09-07T07:56:02.9482471Z d8c4b845cfc7: Pulling fs layer 2025-09-07T07:56:02.9482650Z 5bbb04cd6b57: Waiting 2025-09-07T07:56:02.9482813Z 951e8ce83841: Waiting 2025-09-07T07:56:02.9482979Z b35c180f4d8d: Pulling fs layer 2025-09-07T07:56:02.9483174Z 5f967b3c303a: Pulling fs layer 2025-09-07T07:56:02.9483351Z b35c180f4d8d: Waiting 2025-09-07T07:56:02.9483519Z 04770904f012: Pulling fs layer 2025-09-07T07:56:02.9483720Z 73373941fb32: Pulling fs layer 2025-09-07T07:56:02.9483925Z 5f967b3c303a: Waiting 2025-09-07T07:56:02.9484099Z d8c4b845cfc7: Waiting 2025-09-07T07:56:02.9484283Z 9572e6cd907b: Pulling fs layer 2025-09-07T07:56:02.9484469Z 73373941fb32: Waiting 2025-09-07T07:56:02.9484643Z 64a544aba233: Pulling fs layer 2025-09-07T07:56:02.9484823Z 7e35418a2499: Pulling fs layer 2025-09-07T07:56:02.9485011Z 2ed8e82748d4: Pulling fs layer 2025-09-07T07:56:02.9485202Z c988fbcccd70: Pulling fs layer 2025-09-07T07:56:02.9485391Z 9572e6cd907b: Waiting 2025-09-07T07:56:02.9485551Z 2ed8e82748d4: Waiting 2025-09-07T07:56:02.9485718Z 64a544aba233: Waiting 2025-09-07T07:56:02.9485876Z 7e35418a2499: Waiting 2025-09-07T07:56:02.9486038Z c988fbcccd70: Waiting 2025-09-07T07:56:02.9995691Z 171dcef20c49: Verifying Checksum 2025-09-07T07:56:02.9996036Z 171dcef20c49: Download complete 2025-09-07T07:56:03.0878009Z 744f9ba90a65: Verifying Checksum 2025-09-07T07:56:03.0878342Z 744f9ba90a65: Download complete 2025-09-07T07:56:03.1612020Z d3c08322a332: Download complete 2025-09-07T07:56:03.2384707Z ffd43b71f3cc: Verifying Checksum 2025-09-07T07:56:03.2385563Z ffd43b71f3cc: Download complete 2025-09-07T07:56:03.2991926Z e6fdc8487bfe: Download complete 2025-09-07T07:56:03.3231772Z 830692b57f6e: Verifying Checksum 2025-09-07T07:56:03.3232044Z 830692b57f6e: Download complete 2025-09-07T07:56:03.3641446Z 5bad36d18468: Download complete 2025-09-07T07:56:03.4446262Z 3c868a62868e: Verifying Checksum 2025-09-07T07:56:03.4446550Z 3c868a62868e: Download complete 2025-09-07T07:56:03.5025783Z 62170a22dd57: Verifying Checksum 2025-09-07T07:56:03.5026122Z 62170a22dd57: Download complete 2025-09-07T07:56:03.5878706Z 553c1d23b6c4: Verifying Checksum 2025-09-07T07:56:03.5879009Z 553c1d23b6c4: Download complete 2025-09-07T07:56:03.6488934Z 9408d557a804: Verifying Checksum 2025-09-07T07:56:03.6489204Z 9408d557a804: Download complete 2025-09-07T07:56:04.0449427Z e6fdc8487bfe: Pull complete 2025-09-07T07:56:04.0900862Z 171dcef20c49: Pull complete 2025-09-07T07:56:04.4736054Z 0e34fdd9ac5c: Verifying Checksum 2025-09-07T07:56:04.4736420Z 0e34fdd9ac5c: Download complete 2025-09-07T07:56:04.4832096Z 4f4fb700ef54: Verifying Checksum 2025-09-07T07:56:04.4832550Z 4f4fb700ef54: Download complete 2025-09-07T07:56:04.5394397Z 40a8e39faeda: Verifying Checksum 2025-09-07T07:56:04.5394677Z 40a8e39faeda: Download complete 2025-09-07T07:56:05.1120058Z d895771c9fac: Verifying Checksum 2025-09-07T07:56:05.1120413Z d895771c9fac: Download complete 2025-09-07T07:56:05.1958096Z c4ee04f39d49: Verifying Checksum 2025-09-07T07:56:05.1958441Z c4ee04f39d49: Download complete 2025-09-07T07:56:05.2958313Z 3690c9826e48: Verifying Checksum 2025-09-07T07:56:05.2958646Z 3690c9826e48: Download complete 2025-09-07T07:56:05.3885446Z 57cbc5013733: Verifying Checksum 2025-09-07T07:56:05.3885719Z 57cbc5013733: Download complete 2025-09-07T07:56:05.4612962Z f5f4b06b58bb: Verifying Checksum 2025-09-07T07:56:05.4613228Z f5f4b06b58bb: Download complete 2025-09-07T07:56:05.5392004Z f59713ce4bf4: Verifying Checksum 2025-09-07T07:56:05.5392281Z f59713ce4bf4: Download complete 2025-09-07T07:56:05.6049855Z fe0486521517: Verifying Checksum 2025-09-07T07:56:05.6050127Z fe0486521517: Download complete 2025-09-07T07:56:06.1415221Z 4c92b3f72f1d: Verifying Checksum 2025-09-07T07:56:06.1415588Z 4c92b3f72f1d: Download complete 2025-09-07T07:56:06.2184169Z d37c58456a6a: Verifying Checksum 2025-09-07T07:56:06.2184468Z d37c58456a6a: Download complete 2025-09-07T07:56:06.6588707Z d042f63abc13: Verifying Checksum 2025-09-07T07:56:06.6589045Z d042f63abc13: Download complete 2025-09-07T07:56:06.7393499Z 621284a9c05a: Verifying Checksum 2025-09-07T07:56:06.7393817Z 621284a9c05a: Download complete 2025-09-07T07:56:06.8356865Z 85f605d2dd3a: Verifying Checksum 2025-09-07T07:56:06.8357211Z 85f605d2dd3a: Download complete 2025-09-07T07:56:11.4155557Z 381b5539e598: Verifying Checksum 2025-09-07T07:56:11.4155891Z 381b5539e598: Download complete 2025-09-07T07:56:11.4886912Z a487c0c80029: Verifying Checksum 2025-09-07T07:56:11.4887249Z a487c0c80029: Download complete 2025-09-07T07:56:11.8963616Z 48bcb81e2566: Verifying Checksum 2025-09-07T07:56:11.8964193Z 48bcb81e2566: Download complete 2025-09-07T07:56:11.9854049Z e261928c0043: Verifying Checksum 2025-09-07T07:56:11.9854388Z e261928c0043: Download complete 2025-09-07T07:56:12.3789310Z 0fea55428091: Verifying Checksum 2025-09-07T07:56:12.3789621Z 0fea55428091: Download complete 2025-09-07T07:56:12.6663056Z b4291bccbb84: Verifying Checksum 2025-09-07T07:56:12.6663360Z b4291bccbb84: Download complete 2025-09-07T07:56:12.7528437Z ddc91b09189a: Verifying Checksum 2025-09-07T07:56:12.7528775Z ddc91b09189a: Download complete 2025-09-07T07:56:12.8361857Z 7540c7428627: Download complete 2025-09-07T07:56:12.9192596Z 003c4e2598fb: Download complete 2025-09-07T07:56:12.9942594Z 5687149362ae: Verifying Checksum 2025-09-07T07:56:12.9942953Z 5687149362ae: Download complete 2025-09-07T07:56:13.0625157Z cdd2cf54eb2a: Download complete 2025-09-07T07:56:17.2990161Z 4c92b3f72f1d: Pull complete 2025-09-07T07:56:21.9521958Z 744f9ba90a65: Pull complete 2025-09-07T07:56:25.6800348Z d3c08322a332: Pull complete 2025-09-07T07:56:28.8031518Z ffd43b71f3cc: Pull complete 2025-09-07T07:56:32.9405413Z 830692b57f6e: Pull complete 2025-09-07T07:56:36.8293928Z 5bad36d18468: Pull complete 2025-09-07T07:56:42.0374567Z 0e34fdd9ac5c: Pull complete 2025-09-07T07:56:44.5862663Z 3c868a62868e: Pull complete 2025-09-07T07:56:45.5985808Z 62170a22dd57: Pull complete 2025-09-07T07:56:46.4822534Z 553c1d23b6c4: Pull complete 2025-09-07T07:56:48.8149443Z 9408d557a804: Pull complete 2025-09-07T07:57:12.7948266Z df607cfc7c07: Verifying Checksum 2025-09-07T07:57:12.7948623Z df607cfc7c07: Download complete 2025-09-07T07:57:12.8769682Z 3c9055753b4c: Verifying Checksum 2025-09-07T07:57:12.8770026Z 3c9055753b4c: Download complete 2025-09-07T07:57:16.4641415Z 31cf8d0bd21c: Verifying Checksum 2025-09-07T07:57:16.4641814Z 31cf8d0bd21c: Download complete 2025-09-07T07:57:24.4157000Z 8c21cc3715a2: Verifying Checksum 2025-09-07T07:57:24.4157766Z 8c21cc3715a2: Download complete 2025-09-07T07:57:25.0078899Z 11696c3aa380: Verifying Checksum 2025-09-07T07:57:25.0079215Z 11696c3aa380: Download complete 2025-09-07T07:57:25.0869145Z ef4d544e35ca: Verifying Checksum 2025-09-07T07:57:25.0869428Z ef4d544e35ca: Download complete 2025-09-07T07:57:25.1591465Z 5c5108865e5e: Verifying Checksum 2025-09-07T07:57:25.1591804Z 5c5108865e5e: Download complete 2025-09-07T07:57:25.2397987Z 9e97578e9edf: Verifying Checksum 2025-09-07T07:57:25.2398321Z 9e97578e9edf: Download complete 2025-09-07T07:57:25.3212207Z da5a91b54cb5: Download complete 2025-09-07T07:57:25.4050053Z 1e93be219e89: Verifying Checksum 2025-09-07T07:57:25.4050340Z 1e93be219e89: Download complete 2025-09-07T07:57:25.4825161Z 136825afebb5: Download complete 2025-09-07T07:57:25.5587056Z 22b39805302d: Verifying Checksum 2025-09-07T07:57:25.5587489Z 22b39805302d: Download complete 2025-09-07T07:57:25.6360225Z d12add675e35: Verifying Checksum 2025-09-07T07:57:25.6360543Z d12add675e35: Download complete 2025-09-07T07:57:25.7185094Z bc127046d33a: Verifying Checksum 2025-09-07T07:57:25.7185398Z bc127046d33a: Download complete 2025-09-07T07:57:25.7960743Z 951e8ce83841: Verifying Checksum 2025-09-07T07:57:25.7961079Z 951e8ce83841: Download complete 2025-09-07T07:57:25.8928608Z 32340b97ae50: Verifying Checksum 2025-09-07T07:57:25.8928941Z 32340b97ae50: Download complete 2025-09-07T07:57:25.9689684Z 5bbb04cd6b57: Verifying Checksum 2025-09-07T07:57:25.9690061Z 5bbb04cd6b57: Download complete 2025-09-07T07:57:26.0617105Z d8c4b845cfc7: Verifying Checksum 2025-09-07T07:57:26.0617590Z d8c4b845cfc7: Download complete 2025-09-07T07:57:28.5774951Z b35c180f4d8d: Verifying Checksum 2025-09-07T07:57:28.5775298Z b35c180f4d8d: Download complete 2025-09-07T07:57:28.6666045Z 5f967b3c303a: Download complete 2025-09-07T07:57:28.7522034Z 04770904f012: Download complete 2025-09-07T07:57:29.0159473Z 73373941fb32: Verifying Checksum 2025-09-07T07:57:29.0159838Z 73373941fb32: Download complete 2025-09-07T07:57:29.0903578Z 9572e6cd907b: Download complete 2025-09-07T07:57:29.1681101Z 64a544aba233: Verifying Checksum 2025-09-07T07:57:29.1681422Z 64a544aba233: Download complete 2025-09-07T07:57:29.4778311Z 7e35418a2499: Verifying Checksum 2025-09-07T07:57:29.4778622Z 7e35418a2499: Download complete 2025-09-07T07:57:29.6585276Z 2ed8e82748d4: Verifying Checksum 2025-09-07T07:57:29.6585619Z 2ed8e82748d4: Download complete 2025-09-07T07:57:30.2631739Z c988fbcccd70: Verifying Checksum 2025-09-07T07:57:30.2632087Z c988fbcccd70: Download complete 2025-09-07T07:58:17.2607866Z df607cfc7c07: Pull complete 2025-09-07T07:58:19.8786176Z 4f4fb700ef54: Pull complete 2025-09-07T07:58:23.0121582Z 40a8e39faeda: Pull complete 2025-09-07T07:58:26.1452083Z d895771c9fac: Pull complete 2025-09-07T07:58:32.0104971Z c4ee04f39d49: Pull complete 2025-09-07T07:58:36.5110765Z 3690c9826e48: Pull complete 2025-09-07T07:58:38.9379060Z 57cbc5013733: Pull complete 2025-09-07T07:58:39.2949336Z f5f4b06b58bb: Pull complete 2025-09-07T07:58:40.2857108Z f59713ce4bf4: Pull complete 2025-09-07T07:58:41.6073317Z fe0486521517: Pull complete 2025-09-07T07:58:46.2303295Z 6623ea814971: Verifying Checksum 2025-09-07T07:58:46.2304696Z 6623ea814971: Download complete 2025-09-07T08:01:09.5914685Z d3ad4df1ba3a: Verifying Checksum 2025-09-07T08:01:09.5915098Z d3ad4df1ba3a: Download complete 2025-09-07T08:01:55.4515131Z 8c21cc3715a2: Pull complete 2025-09-07T08:02:01.6545213Z d37c58456a6a: Pull complete 2025-09-07T08:02:07.1632235Z d042f63abc13: Pull complete 2025-09-07T08:02:13.0111414Z 621284a9c05a: Pull complete 2025-09-07T08:02:19.8302944Z 85f605d2dd3a: Pull complete 2025-09-07T08:02:41.3832609Z 381b5539e598: Pull complete 2025-09-07T08:02:46.2895575Z a487c0c80029: Pull complete 2025-09-07T08:02:51.1489343Z 48bcb81e2566: Pull complete 2025-09-07T08:03:01.5659368Z e261928c0043: Pull complete 2025-09-07T08:03:06.3414314Z 0fea55428091: Pull complete 2025-09-07T08:03:10.5301296Z b4291bccbb84: Pull complete 2025-09-07T08:03:13.7005098Z ddc91b09189a: Pull complete 2025-09-07T08:03:17.0903996Z 7540c7428627: Pull complete 2025-09-07T08:03:22.6651393Z 003c4e2598fb: Pull complete 2025-09-07T08:03:25.7817971Z 5687149362ae: Pull complete 2025-09-07T08:03:29.4616892Z cdd2cf54eb2a: Pull complete 2025-09-07T08:08:42.2362448Z d3ad4df1ba3a: Pull complete 2025-09-07T08:08:49.0619330Z 3c9055753b4c: Pull complete 2025-09-07T08:08:55.3662217Z 31cf8d0bd21c: Pull complete 2025-09-07T08:16:11.0864181Z 6623ea814971: Pull complete 2025-09-07T08:16:14.1446289Z 11696c3aa380: Pull complete 2025-09-07T08:16:17.6694712Z ef4d544e35ca: Pull complete 2025-09-07T08:16:23.8748005Z 5c5108865e5e: Pull complete 2025-09-07T08:16:30.6885135Z 9e97578e9edf: Pull complete 2025-09-07T08:16:34.8322193Z da5a91b54cb5: Pull complete 2025-09-07T08:16:40.5583107Z 1e93be219e89: Pull complete 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Digest: sha256:f30843ff9ea9e117a2c8e6d207e85c9e77dfe682f1dfcdfea5b94178d1bf00b3 2025-09-07T08:17:37.9239962Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:17:38.1087193Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:17:38.1145142Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:17:38.1145899Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:17:38.1162236Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:17:38.1162552Z env: 2025-09-07T08:17:38.1162717Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:17:38.1162911Z ##[endgroup] 2025-09-07T08:17:38.1902029Z ##[group]Run echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T08:17:38.1902665Z echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T08:17:38.1918426Z shell: /usr/bin/bash -e {0} 2025-09-07T08:17:38.1918637Z env: 2025-09-07T08:17:38.1918796Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:17:38.1919221Z ##[endgroup] 2025-09-07T08:17:38.3273121Z ##[group]Run echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T08:17:38.3273840Z echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T08:17:38.3288950Z shell: /usr/bin/bash -e {0} 2025-09-07T08:17:38.3289161Z env: 2025-09-07T08:17:38.3289318Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:17:38.3289564Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:17:38.3289826Z ##[endgroup] 2025-09-07T08:17:38.3744829Z Prepare all required actions 2025-09-07T08:17:38.3974420Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T08:17:38.3974685Z with: 2025-09-07T08:17:38.3975130Z github-token: *** 2025-09-07T08:17:38.3975304Z env: 2025-09-07T08:17:38.3975480Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:17:38.3975734Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:17:38.3976100Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:17:38.3976379Z ##[endgroup] 2025-09-07T08:17:38.5179228Z ##[group]Run set -eux 2025-09-07T08:17:38.5179487Z set -eux 2025-09-07T08:17:38.5179826Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T08:17:38.5196067Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:17:38.5196352Z env: 2025-09-07T08:17:38.5196519Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:17:38.5196759Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:17:38.5197143Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:17:38.5197816Z GITHUB_TOKEN: *** 2025-09-07T08:17:38.5197997Z ##[endgroup] 2025-09-07T08:17:38.5676503Z + python3 .github/scripts/get_workflow_job_id.py 17525296438 i-0d3ed1ff3ccbeec77-1007 2025-09-07T08:17:39.2443895Z Setting output job-id=49775781830 2025-09-07T08:17:39.2444441Z Setting output job-name=test-weekly / test (inductor_huggingface_perf_cuda_h100, 1, 5, linux.aws.h100) 2025-09-07T08:17:39.3013144Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T08:17:39.3013755Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T08:17:39.3014495Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T08:17:39.3015219Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T08:17:39.3030937Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:17:39.3031219Z env: 2025-09-07T08:17:39.3031378Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:17:39.3031634Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:17:39.3031955Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:17:39.3032229Z JOB_ID: 49775781830 2025-09-07T08:17:39.3032586Z JOB_NAME: test-weekly / test (inductor_huggingface_perf_cuda_h100, 1, 5, linux.aws.h100) 2025-09-07T08:17:39.3032982Z WORKFLOW_NAME: inductor-perf-nightly-h100 2025-09-07T08:17:39.3033237Z WORKFLOW_RUN_ID: 17525296438 2025-09-07T08:17:39.3033439Z MONITOR_LOG_INTERVAL: 15 2025-09-07T08:17:39.3033636Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T08:17:39.3033845Z ##[endgroup] 2025-09-07T08:17:39.6040142Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:17:40.2990120Z Collecting psutil==5.9.8 2025-09-07T08:17:40.3326717Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-09-07T08:17:40.7017754Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.2/288.2 KB 758.4 kB/s eta 0:00:00 2025-09-07T08:17:41.1471304Z Collecting dataclasses_json==0.6.7 2025-09-07T08:17:41.1497880Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T08:17:41.8723983Z Collecting nvidia-ml-py==11.525.84 2025-09-07T08:17:41.8750993Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T08:17:42.5917169Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T08:17:42.5943071Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T08:17:43.3758797Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T08:17:43.3784939Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T08:17:43.8785705Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.9/50.9 KB 81.6 kB/s eta 0:00:00 2025-09-07T08:17:44.2876835Z Collecting packaging>=17.0 2025-09-07T08:17:44.2904479Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T08:17:44.7118781Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.5/66.5 KB 134.0 kB/s eta 0:00:00 2025-09-07T08:17:44.9638153Z Collecting mypy-extensions>=0.3.0 2025-09-07T08:17:44.9664489Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T08:17:45.5752367Z Collecting typing-extensions>=3.7.4 2025-09-07T08:17:45.5778691Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T08:17:45.9389333Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 44.6/44.6 KB 95.7 kB/s eta 0:00:00 2025-09-07T08:17:46.0017821Z Installing collected packages: nvidia-ml-py, typing-extensions, psutil, packaging, mypy-extensions, typing-inspect, marshmallow, dataclasses_json 2025-09-07T08:17:49.8863221Z Successfully installed dataclasses_json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-09-07T08:17:49.9441874Z Prepare all required actions 2025-09-07T08:17:49.9442208Z Getting action download info 2025-09-07T08:17:50.0736141Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T08:17:51.7001703Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T08:17:54.4299860Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T08:17:54.4300135Z with: 2025-09-07T08:17:54.4300325Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T08:17:54.4300579Z s3-bucket: gha-artifacts 2025-09-07T08:17:54.4300764Z env: 2025-09-07T08:17:54.4300913Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:17:54.4301153Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:17:54.4301483Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:17:54.4301766Z ##[endgroup] 2025-09-07T08:17:54.5088238Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T08:17:54.5088498Z with: 2025-09-07T08:17:54.5088682Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T08:17:54.5088941Z s3-bucket: gha-artifacts 2025-09-07T08:17:54.5089144Z region: us-east-1 2025-09-07T08:17:54.5089304Z env: 2025-09-07T08:17:54.5089457Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:17:54.5089716Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:17:54.5090070Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:17:54.5090360Z ##[endgroup] 2025-09-07T08:17:55.1004401Z (node:8906) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T08:17:55.1005081Z 2025-09-07T08:17:55.1005346Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T08:17:55.1006102Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T08:17:55.1006885Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T08:17:55.1918891Z Found 1 objects with prefix pytorch/pytorch/17525296438/linux-jammy-cuda12.8-py3.10-gcc9-sm90/ 2025-09-07T08:17:55.1919557Z Starting download (1/1): /home/grace/_work/pytorch/pytorch/artifacts.zip 2025-09-07T08:18:03.9126651Z Finished download (1/1): /home/grace/_work/pytorch/pytorch/artifacts.zip 2025-09-07T08:18:03.9134813Z Artifact download has finished successfully 2025-09-07T08:18:03.9900787Z ##[group]Run unzip -o artifacts.zip 2025-09-07T08:18:03.9901303Z unzip -o artifacts.zip 2025-09-07T08:18:03.9916968Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:18:03.9917402Z env: 2025-09-07T08:18:03.9917567Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:03.9917810Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:03.9918138Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:18:03.9918411Z ##[endgroup] 2025-09-07T08:18:04.0249886Z Archive: artifacts.zip 2025-09-07T08:18:04.0251025Z creating: dist/ 2025-09-07T08:18:06.0362807Z inflating: dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T08:18:06.0363285Z creating: dist/vision/ 2025-09-07T08:18:06.0471725Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:18:06.0472178Z creating: dist/audio/ 2025-09-07T08:18:06.0529606Z inflating: dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T08:18:06.0530070Z creating: dist/torchrec/ 2025-09-07T08:18:06.0553982Z inflating: dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T08:18:06.0554358Z creating: dist/fbgemm_gpu/ 2025-09-07T08:18:06.8893614Z inflating: dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T08:18:06.8894354Z creating: dist/ao/ 2025-09-07T08:18:06.8931770Z inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T08:18:06.9051544Z inflating: dist/.ninja_log 2025-09-07T08:18:06.9051992Z creating: build/custom_test_artifacts/ 2025-09-07T08:18:06.9053070Z creating: build/custom_test_artifacts/custom-op-build/ 2025-09-07T08:18:06.9053703Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-09-07T08:18:06.9054425Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-09-07T08:18:06.9060358Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-09-07T08:18:06.9061216Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/ 2025-09-07T08:18:06.9062024Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeSystem.cmake 2025-09-07T08:18:06.9062898Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/ 2025-09-07T08:18:06.9063742Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/tmp/ 2025-09-07T08:18:06.9064723Z inflating: 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build/bin/type_test 2025-09-07T08:18:14.3492878Z inflating: build/bin/undefined_tensor_test 2025-09-07T08:18:14.3539732Z inflating: build/bin/verify_api_visibility 2025-09-07T08:18:14.3605147Z inflating: build/bin/legacy_vmap_test 2025-09-07T08:18:14.3653670Z inflating: build/bin/weakref_test 2025-09-07T08:18:14.3702646Z inflating: build/bin/xla_tensor_test 2025-09-07T08:18:14.3751736Z inflating: build/bin/wrapdim_test 2025-09-07T08:18:14.3808065Z inflating: build/bin/IListRef_test 2025-09-07T08:18:14.3920439Z inflating: build/bin/kernel_function_legacy_test 2025-09-07T08:18:14.4019209Z inflating: build/bin/List_test 2025-09-07T08:18:14.4082184Z inflating: build/bin/KernelFunction_test 2025-09-07T08:18:14.4172013Z inflating: build/bin/kernel_function_test 2025-09-07T08:18:14.4289395Z inflating: build/bin/kernel_lambda_legacy_test 2025-09-07T08:18:14.4385030Z inflating: build/bin/kernel_lambda_test 2025-09-07T08:18:14.4442772Z inflating: build/bin/kernel_stackbased_test 2025-09-07T08:18:14.4531406Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-09-07T08:18:14.4579883Z inflating: build/bin/CppSignature_test 2025-09-07T08:18:14.4632588Z inflating: build/bin/backend_fallback_test 2025-09-07T08:18:14.4679021Z inflating: build/bin/op_allowlist_test 2025-09-07T08:18:14.4952047Z inflating: build/bin/op_registration_test 2025-09-07T08:18:14.5014107Z inflating: build/bin/inline_container_test 2025-09-07T08:18:14.5063235Z inflating: build/bin/cuda_allocator_test 2025-09-07T08:18:14.5113098Z inflating: build/bin/cuda_apply_test 2025-09-07T08:18:14.5169628Z inflating: build/bin/cuda_atomic_ops_test 2025-09-07T08:18:14.5223313Z inflating: build/bin/cuda_caching_host_allocator_test 2025-09-07T08:18:14.5289075Z inflating: build/bin/cuda_complex_math_test 2025-09-07T08:18:14.5344888Z inflating: build/bin/cuda_complex_test 2025-09-07T08:18:14.5403547Z inflating: build/bin/cuda_cub_test 2025-09-07T08:18:14.5450474Z inflating: build/bin/cuda_device_test 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build/bin/test_nativert 2025-09-07T08:18:14.6502407Z inflating: build/bin/test_dist_autograd 2025-09-07T08:18:14.6566761Z inflating: build/bin/test_cpp_rpc 2025-09-07T08:18:14.7632617Z inflating: build/bin/test_api 2025-09-07T08:18:14.7634743Z inflating: build/bin/parallel_benchmark 2025-09-07T08:18:14.7696887Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T08:18:14.7756585Z inflating: build/bin/ProcessGroupNCCLTest 2025-09-07T08:18:14.7811164Z inflating: build/bin/ProcessGroupGlooAsyncTest 2025-09-07T08:18:14.7882522Z inflating: build/bin/ProcessGroupNCCLErrorsTest 2025-09-07T08:18:14.8866457Z inflating: build/bin/test_jit 2025-09-07T08:18:14.9715696Z inflating: build/bin/test_lazy 2025-09-07T08:18:15.1461650Z inflating: build/bin/torch_shm_manager 2025-09-07T08:18:15.1462201Z creating: .additional_ci_files/ 2025-09-07T08:18:15.1542368Z inflating: .additional_ci_files/test-times.json 2025-09-07T08:18:15.1846875Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T08:18:15.1929669Z ##[group]Run rm artifacts.zip 2025-09-07T08:18:15.1929905Z rm artifacts.zip 2025-09-07T08:18:15.1945665Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:18:15.1945966Z env: 2025-09-07T08:18:15.1946143Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:15.1946392Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:15.1946750Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:18:15.1947043Z ##[endgroup] 2025-09-07T08:18:15.8758573Z ##[group]Run df -H 2025-09-07T08:18:15.8758774Z df -H 2025-09-07T08:18:15.8774395Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:18:15.8774695Z env: 2025-09-07T08:18:15.8774858Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:15.8775185Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:15.8775539Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:18:15.8775810Z ##[endgroup] 2025-09-07T08:18:15.9251699Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T08:18:15.9252101Z overlay 7.3T 723G 6.6T 10% / 2025-09-07T08:18:15.9252392Z tmpfs 68M 0 68M 0% /dev 2025-09-07T08:18:15.9252690Z shm 68M 0 68M 0% /dev/shm 2025-09-07T08:18:15.9253010Z /dev/root 7.3T 723G 6.6T 10% /home/grace/_work 2025-09-07T08:18:15.9253377Z tmpfs 215G 111k 215G 1% /run/docker.sock 2025-09-07T08:18:15.9253722Z tmpfs 1.1T 13k 1.1T 1% /proc/driver/nvidia 2025-09-07T08:18:15.9254130Z tmpfs 430G 2.9M 430G 1% /run/.ro3575748841/nvidia-persistenced/socket 2025-09-07T08:18:15.9254763Z tmpfs 1.1T 0 1.1T 0% /proc/acpi 2025-09-07T08:18:15.9255169Z tmpfs 1.1T 0 1.1T 0% /proc/scsi 2025-09-07T08:18:15.9255479Z tmpfs 1.1T 0 1.1T 0% /sys/firmware 2025-09-07T08:18:15.9284009Z Prepare all required actions 2025-09-07T08:18:15.9284855Z Getting action download info 2025-09-07T08:18:16.1068830Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T08:18:16.1069130Z with: 2025-09-07T08:18:16.1069302Z env: 2025-09-07T08:18:16.1069490Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:16.1069770Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:16.1070163Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:18:16.1070491Z ##[endgroup] 2025-09-07T08:18:16.2476533Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T08:18:16.2476806Z with: 2025-09-07T08:18:16.2476976Z name: td_results 2025-09-07T08:18:16.2477177Z s3-bucket: gha-artifacts 2025-09-07T08:18:16.2477755Z region: us-east-1 2025-09-07T08:18:16.2477933Z env: 2025-09-07T08:18:16.2478101Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:16.2478378Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:16.2478856Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:18:16.2479172Z ##[endgroup] 2025-09-07T08:18:16.6493311Z (node:8926) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T08:18:16.6493726Z 2025-09-07T08:18:16.6493881Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T08:18:16.6494339Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T08:18:16.6494763Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T08:18:16.7308937Z Found 0 objects with prefix pytorch/pytorch/17525296438/td_results/ 2025-09-07T08:18:16.7314972Z Artifact download has finished successfully 2025-09-07T08:18:16.7725195Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T08:18:16.7725500Z mkdir -p .additional_ci_files 2025-09-07T08:18:16.7725853Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T08:18:16.7741734Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:18:16.7742011Z env: 2025-09-07T08:18:16.7742168Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:16.7742419Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:16.7742758Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:18:16.7743044Z ##[endgroup] 2025-09-07T08:18:16.8238696Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T08:18:16.9139534Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T08:18:16.9139852Z .github/scripts/parse_ref.py 2025-09-07T08:18:16.9154169Z shell: /usr/bin/bash -e {0} 2025-09-07T08:18:16.9154378Z env: 2025-09-07T08:18:16.9154539Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:16.9154784Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:16.9155167Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:18:16.9155457Z ##[endgroup] 2025-09-07T08:18:16.9792948Z Setting output branch=main 2025-09-07T08:18:16.9948863Z Prepare all required actions 2025-09-07T08:18:16.9949352Z Getting action download info 2025-09-07T08:18:17.1450566Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T08:18:17.1450921Z with: 2025-09-07T08:18:17.1451371Z github-token: *** 2025-09-07T08:18:17.1456704Z 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"}]} 2025-09-07T08:18:17.1462123Z job-name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 1, 5, linux.aws.h100) 2025-09-07T08:18:17.1462468Z env: 2025-09-07T08:18:17.1462625Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:17.1462871Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:17.1463200Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:18:17.1463484Z ##[endgroup] 2025-09-07T08:18:17.2890982Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T08:18:17.2891264Z with: 2025-09-07T08:18:17.2891426Z shell: bash 2025-09-07T08:18:17.2891596Z timeout_minutes: 10 2025-09-07T08:18:17.2891787Z max_attempts: 5 2025-09-07T08:18:17.2891972Z retry_wait_seconds: 30 2025-09-07T08:18:17.2892610Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T08:18:17.2893277Z polling_interval_seconds: 1 2025-09-07T08:18:17.2893518Z warning_on_retry: true 2025-09-07T08:18:17.2893723Z continue_on_error: false 2025-09-07T08:18:17.2893923Z env: 2025-09-07T08:18:17.2894087Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:17.2894350Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:17.2894683Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:18:17.2895288Z GITHUB_TOKEN: *** 2025-09-07T08:18:17.2895468Z ##[endgroup] 2025-09-07T08:18:17.3602297Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T08:18:17.6271791Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:18:18.2164440Z Collecting requests==2.27.1 2025-09-07T08:18:18.2689725Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T08:18:18.7720503Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.1/63.1 KB 105.6 kB/s eta 0:00:00 2025-09-07T08:18:19.3076007Z Collecting pyyaml==6.0.2 2025-09-07T08:18:19.3162575Z Downloading PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (751 kB) 2025-09-07T08:18:19.8631644Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 751.2/751.2 KB 1.4 MB/s eta 0:00:00 2025-09-07T08:18:19.8748141Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3/dist-packages (from requests==2.27.1) (3.3) 2025-09-07T08:18:19.8752471Z Requirement already satisfied: certifi>=2017.4.17 in /usr/lib/python3/dist-packages (from requests==2.27.1) (2020.6.20) 2025-09-07T08:18:19.8757021Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3/dist-packages (from requests==2.27.1) (1.26.5) 2025-09-07T08:18:20.4692095Z Collecting charset-normalizer~=2.0.0 2025-09-07T08:18:20.4782217Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T08:18:21.0276384Z Installing collected packages: pyyaml, charset-normalizer, requests 2025-09-07T08:18:21.6944459Z WARNING: The script normalizer is installed in '/home/grace/.local/bin' which is not on PATH. 2025-09-07T08:18:21.6945870Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T08:18:23.0649027Z Successfully installed charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T08:18:23.3629066Z Command completed after 1 attempt(s). 2025-09-07T08:18:23.4302563Z ##[group]Run set -x 2025-09-07T08:18:23.4302787Z set -x 2025-09-07T08:18:23.4302962Z  2025-09-07T08:18:23.4303272Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T08:18:23.4303663Z # in runner workspace 2025-09-07T08:18:23.4303970Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T08:18:23.4319818Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:18:23.4320111Z env: 2025-09-07T08:18:23.4320270Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:23.4320520Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:23.4320857Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:18:23.4321132Z ##[endgroup] 2025-09-07T08:18:23.4671165Z + python3 /home/grace/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T08:18:23.4813657Z Setting output branch=main 2025-09-07T08:18:23.5101691Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T08:18:23.5102062Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T08:18:23.5102313Z echo "Job name: ${JOB_NAME}" 2025-09-07T08:18:23.5102570Z  2025-09-07T08:18:23.5102871Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T08:18:23.5103240Z # in runner workspace 2025-09-07T08:18:23.5103564Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T08:18:23.5103937Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T08:18:23.5104200Z  --job-name "${JOB_NAME}" \ 2025-09-07T08:18:23.5109880Z  --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"}]}" \ 2025-09-07T08:18:23.5115254Z  --selected-test-configs "" \ 2025-09-07T08:18:23.5115503Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T08:18:23.5115727Z  --tag "${TAG}" \ 2025-09-07T08:18:23.5115937Z  --event-name "${EVENT_NAME}" \ 2025-09-07T08:18:23.5116170Z  --schedule "${SCHEDULE}" \ 2025-09-07T08:18:23.5116396Z  --branch "${HEAD_BRANCH}" 2025-09-07T08:18:23.5132351Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:18:23.5132637Z env: 2025-09-07T08:18:23.5132798Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:23.5133038Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:23.5133356Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:18:23.5133839Z GITHUB_TOKEN: *** 2025-09-07T08:18:23.5134159Z JOB_NAME: test-weekly / test (inductor_huggingface_perf_cuda_h100, 1, 5, linux.aws.h100) 2025-09-07T08:18:23.5134509Z PR_NUMBER: 2025-09-07T08:18:23.5134671Z TAG: 2025-09-07T08:18:23.5134818Z EVENT_NAME: schedule 2025-09-07T08:18:23.5135096Z SCHEDULE: 0 7 * * 0 2025-09-07T08:18:23.5135275Z HEAD_BRANCH: main 2025-09-07T08:18:23.5135441Z ##[endgroup] 2025-09-07T08:18:23.5519183Z Workflow: inductor-perf-nightly-h100 2025-09-07T08:18:23.5519623Z Job name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 1, 5, linux.aws.h100) 2025-09-07T08:18:23.6994767Z Setting output keep-going=True 2025-09-07T08:18:23.6995058Z Setting output ci-verbose-test-logs=False 2025-09-07T08:18:23.6995407Z Setting output ci-test-showlocals=False 2025-09-07T08:18:23.6995770Z Setting output ci-no-test-timeout=False 2025-09-07T08:18:23.6996121Z Setting output ci-no-td=False 2025-09-07T08:18:23.6996446Z Setting output ci-td-distributed=False 2025-09-07T08:18:23.6996748Z Setting output is-unstable=False 2025-09-07T08:18:23.6997029Z Setting output reenabled-issues= 2025-09-07T08:18:23.7004107Z 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"}]} 2025-09-07T08:18:23.7010531Z Setting output is-test-matrix-empty=False 2025-09-07T08:18:23.7116100Z ##[group]Run echo "Filtered matrix:" 2025-09-07T08:18:23.7116393Z echo "Filtered matrix:" 2025-09-07T08:18:23.7121814Z 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"}]}" 2025-09-07T08:18:23.7126961Z  2025-09-07T08:18:23.7127116Z echo 2025-09-07T08:18:23.7127436Z echo "Is the current job unstable? False" 2025-09-07T08:18:23.7127671Z  2025-09-07T08:18:23.7127812Z echo 2025-09-07T08:18:23.7128006Z echo "Is keep-going label set? True" 2025-09-07T08:18:23.7128234Z  2025-09-07T08:18:23.7128371Z echo 2025-09-07T08:18:23.7128535Z echo "Reenabled issues? " 2025-09-07T08:18:23.7143752Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:18:23.7144044Z env: 2025-09-07T08:18:23.7144204Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:23.7144450Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:23.7144779Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:18:23.7145283Z ##[endgroup] 2025-09-07T08:18:23.7436458Z Filtered matrix: 2025-09-07T08:18:23.7443097Z {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}]} 2025-09-07T08:18:23.7448717Z 2025-09-07T08:18:23.7448816Z Is the current job unstable? False 2025-09-07T08:18:23.7448989Z 2025-09-07T08:18:23.7449073Z Is keep-going label set? True 2025-09-07T08:18:23.7449226Z 2025-09-07T08:18:23.7449298Z Reenabled issues? 2025-09-07T08:18:23.7849583Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T08:18:23.7850045Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T08:18:23.7864489Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:18:23.7864778Z env: 2025-09-07T08:18:23.7864942Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:23.7865196Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:23.7865529Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:18:23.7865814Z JOB_TIMEOUT: 1440 2025-09-07T08:18:23.7865982Z ##[endgroup] 2025-09-07T08:18:23.8658103Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:18:23.8658863Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:18:23.8659446Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:18:23.8682333Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:18:23.8682802Z env: 2025-09-07T08:18:23.8683071Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:23.8683502Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:23.8684093Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:18:23.8684593Z ##[endgroup] 2025-09-07T08:18:24.0031581Z ##[group]Run set -x 2025-09-07T08:18:24.0032017Z set -x 2025-09-07T08:18:24.0032230Z  2025-09-07T08:18:24.0032461Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T08:18:24.0032833Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T08:18:24.0033206Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T08:18:24.0033804Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T08:18:24.0034086Z else 2025-09-07T08:18:24.0034318Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T08:18:24.0034613Z fi 2025-09-07T08:18:24.0034801Z  2025-09-07T08:18:24.0035035Z # Leaving 1GB for the runner and other things 2025-09-07T08:18:24.0035589Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T08:18:24.0036381Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T08:18:24.0036895Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T08:18:24.0037490Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T08:18:24.0037821Z  2025-09-07T08:18:24.0038022Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T08:18:24.0038278Z  SHM_OPTS= 2025-09-07T08:18:24.0038459Z  JENKINS_USER= 2025-09-07T08:18:24.0038715Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T08:18:24.0039065Z  # if for some reason cleanup action doesn't stop container 2025-09-07T08:18:24.0039354Z  # when job is cancelled 2025-09-07T08:18:24.0039576Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T08:18:24.0039789Z else 2025-09-07T08:18:24.0039979Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T08:18:24.0040228Z  JENKINS_USER="--user jenkins" 2025-09-07T08:18:24.0040474Z  DOCKER_SHELL_CMD= 2025-09-07T08:18:24.0040663Z fi 2025-09-07T08:18:24.0040811Z  2025-09-07T08:18:24.0041058Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T08:18:24.0041448Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T08:18:24.0041899Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T08:18:24.0042294Z # shellcheck disable=SC2086,SC2090 2025-09-07T08:18:24.0042538Z container_name=$(docker run \ 2025-09-07T08:18:24.0042767Z  ${GPU_FLAG:-} \ 2025-09-07T08:18:24.0042990Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T08:18:24.0043238Z  -e BUILD_ENVIRONMENT \ 2025-09-07T08:18:24.0043466Z  -e PR_NUMBER \ 2025-09-07T08:18:24.0043670Z  -e GITHUB_ACTIONS \ 2025-09-07T08:18:24.0043903Z  -e GITHUB_REPOSITORY \ 2025-09-07T08:18:24.0044124Z  -e GITHUB_WORKFLOW \ 2025-09-07T08:18:24.0044334Z  -e GITHUB_JOB \ 2025-09-07T08:18:24.0044531Z  -e GITHUB_RUN_ID \ 2025-09-07T08:18:24.0044733Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T08:18:24.0044944Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T08:18:24.0045155Z  -e JOB_ID \ 2025-09-07T08:18:24.0045339Z  -e JOB_NAME \ 2025-09-07T08:18:24.0045540Z  -e BASE_SHA \ 2025-09-07T08:18:24.0045715Z  -e BRANCH \ 2025-09-07T08:18:24.0045892Z  -e SHA1 \ 2025-09-07T08:18:24.0046080Z  -e AWS_DEFAULT_REGION \ 2025-09-07T08:18:24.0046288Z  -e IN_WHEEL_TEST \ 2025-09-07T08:18:24.0046478Z  -e SHARD_NUMBER \ 2025-09-07T08:18:24.0046675Z  -e TEST_CONFIG \ 2025-09-07T08:18:24.0046872Z  -e NUM_TEST_SHARDS \ 2025-09-07T08:18:24.0047085Z  -e REENABLED_ISSUES \ 2025-09-07T08:18:24.0047455Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T08:18:24.0047947Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T08:18:24.0048185Z  -e TEST_SHOWLOCALS \ 2025-09-07T08:18:24.0048388Z  -e NO_TEST_TIMEOUT \ 2025-09-07T08:18:24.0048576Z  -e NO_TD \ 2025-09-07T08:18:24.0048776Z  -e TD_DISTRIBUTED \ 2025-09-07T08:18:24.0048980Z  -e PR_LABELS \ 2025-09-07T08:18:24.0049199Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T08:18:24.0049595Z  -e SCCACHE_BUCKET \ 2025-09-07T08:18:24.0049795Z  -e SCCACHE_REGION \ 2025-09-07T08:18:24.0049996Z  -e XLA_CUDA \ 2025-09-07T08:18:24.0050205Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T08:18:24.0050468Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T08:18:24.0050727Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T08:18:24.0050988Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T08:18:24.0051246Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T08:18:24.0051488Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T08:18:24.0051727Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T08:18:24.0051962Z  -e DASHBOARD_TAG \ 2025-09-07T08:18:24.0052171Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T08:18:24.0052436Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T08:18:24.0052734Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T08:18:24.0053044Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T08:18:24.0053349Z  --security-opt seccomp=unconfined \ 2025-09-07T08:18:24.0053601Z  --cap-add=SYS_PTRACE \ 2025-09-07T08:18:24.0053824Z  --ipc=host \ 2025-09-07T08:18:24.0054004Z  ${SHM_OPTS} \ 2025-09-07T08:18:24.0054184Z  --tty \ 2025-09-07T08:18:24.0054357Z  --detach \ 2025-09-07T08:18:24.0054550Z  --name="${container_name}" \ 2025-09-07T08:18:24.0054773Z  ${JENKINS_USER} \ 2025-09-07T08:18:24.0055139Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T08:18:24.0055437Z  -w /var/lib/jenkins/workspace \ 2025-09-07T08:18:24.0055679Z  "${DOCKER_IMAGE}" \ 2025-09-07T08:18:24.0055873Z  ${DOCKER_SHELL_CMD} 2025-09-07T08:18:24.0056063Z ) 2025-09-07T08:18:24.0056277Z # Propagate download.pytorch.org IP to container 2025-09-07T08:18:24.0056775Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T08:18:24.0057431Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T08:18:24.0057724Z  2025-09-07T08:18:24.0057916Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T08:18:24.0058327Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T08:18:24.0058693Z fi 2025-09-07T08:18:24.0058830Z  2025-09-07T08:18:24.0059185Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T08:18:24.0075284Z shell: /usr/bin/bash -e {0} 2025-09-07T08:18:24.0075506Z env: 2025-09-07T08:18:24.0075682Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:18:24.0075931Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:18:24.0076282Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T08:18:24.0076649Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T08:18:24.0076920Z PR_NUMBER: 2025-09-07T08:18:24.0077098Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T08:18:24.0077515Z GITHUB_WORKFLOW: inductor-perf-nightly-h100 2025-09-07T08:18:24.0077760Z GITHUB_JOB: test 2025-09-07T08:18:24.0077934Z GITHUB_RUN_ID: 17525296438 2025-09-07T08:18:24.0078126Z GITHUB_RUN_NUMBER: 662 2025-09-07T08:18:24.0078310Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T08:18:24.0078485Z JOB_ID: 49775781830 2025-09-07T08:18:24.0078995Z JOB_NAME: test-weekly / test (inductor_huggingface_perf_cuda_h100, 1, 5, linux.aws.h100) 2025-09-07T08:18:24.0079361Z BRANCH: main 2025-09-07T08:18:24.0079547Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:18:24.0079816Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:18:24.0080086Z TEST_CONFIG: inductor_huggingface_perf_cuda_h100 2025-09-07T08:18:24.0080326Z SHARD_NUMBER: 1 2025-09-07T08:18:24.0080625Z NUM_TEST_SHARDS: 5 2025-09-07T08:18:24.0080809Z REENABLED_ISSUES: 2025-09-07T08:18:24.0080989Z CONTINUE_THROUGH_ERROR: True 2025-09-07T08:18:24.0081197Z VERBOSE_TEST_LOGS: False 2025-09-07T08:18:24.0081383Z TEST_SHOWLOCALS: False 2025-09-07T08:18:24.0081568Z NO_TEST_TIMEOUT: False 2025-09-07T08:18:24.0081744Z NO_TD: False 2025-09-07T08:18:24.0081904Z TD_DISTRIBUTED: False 2025-09-07T08:18:24.0082121Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T08:18:24.0082377Z SCCACHE_REGION: us-east-1 2025-09-07T08:18:24.0082565Z SHM_SIZE: 2g 2025-09-07T08:18:24.0083230Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:18:24.0083907Z XLA_CUDA: 2025-09-07T08:18:24.0084167Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:18:24.0084503Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T08:18:24.0084745Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T08:18:24.0085659Z 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 2025-09-07T08:18:24.0086782Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T08:18:24.0087091Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T08:18:24.0087579Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T08:18:24.0087967Z ARTIFACTS_FILE_SUFFIX: test-inductor_huggingface_perf_cuda_h100-1-5-linux.aws.h100_49775781830 2025-09-07T08:18:24.0088360Z ##[endgroup] 2025-09-07T08:18:24.0518228Z + [[ inductor_huggingface_perf_cuda_h100 == \m\u\l\t\i\g\p\u ]] 2025-09-07T08:18:24.0518737Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *onnx* ]] 2025-09-07T08:18:24.0519089Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T08:18:24.0524915Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T08:18:24.0539409Z + TOTAL_AVAILABLE_MEMORY_IN_GB='1998.949 ' 2025-09-07T08:18:24.0539856Z + TOTAL_MEMORY_WITH_SWAP=2001 2025-09-07T08:18:24.0540324Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *\s\3\9\0\x* ]] 2025-09-07T08:18:24.0540864Z + SHM_OPTS=--shm-size=2g 2025-09-07T08:18:24.0541220Z + JENKINS_USER='--user jenkins' 2025-09-07T08:18:24.0541586Z + DOCKER_SHELL_CMD= 2025-09-07T08:18:24.0548584Z +++ nproc --ignore=2 2025-09-07T08:18:24.0565399Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e SCCACHE_SERVER_PORT=5233 -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=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/grace/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:28:54.0637581Z + container_name=fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T08:28:54.0641835Z + grep download.pytorch.org /etc/hosts 2025-09-07T08:28:54.0643489Z + docker exec -i fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T08:28:54.1230151Z + echo DOCKER_CONTAINER_ID=fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T08:28:54.1232573Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *\s\3\9\0\x* ]] 2025-09-07T08:28:54.1236337Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T08:28:54.1239711Z + docker exec -t fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T08:28:54.5248764Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T08:28:54.8399108Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.19.1) 2025-09-07T08:28:54.8402374Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (4.15.0) 2025-09-07T08:28:54.8405818Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.13.3) 2025-09-07T08:28:54.8409932Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2.8.8) 2025-09-07T08:28:54.8412675Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.1.6) 2025-09-07T08:28:54.8416598Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2025.3.0) 2025-09-07T08:28:54.8428715Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.3.0) 2025-09-07T08:28:54.8750473Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.22.4) 2025-09-07T08:28:54.8766929Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.3.0) 2025-09-07T08:28:54.8798956Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.0.2) 2025-09-07T08:28:55.6736311Z Installing collected packages: torch 2025-09-07T08:29:05.0782818Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. 2025-09-07T08:29:05.0783723Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T08:29:05.0784129Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T08:29:05.0784616Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-09-07T08:29:05.0785294Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T08:29:05.0785963Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T08:29:05.0786606Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T08:29:05.0787937Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T08:29:05.1496031Z + export TERM=vt100 2025-09-07T08:29:05.1496259Z + TERM=vt100 2025-09-07T08:29:05.1500456Z ++ dirname .ci/pytorch/test.sh 2025-09-07T08:29:05.1514137Z + source .ci/pytorch/common.sh 2025-09-07T08:29:05.1518018Z +++ dirname .ci/pytorch/common.sh 2025-09-07T08:29:05.1527098Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T08:29:05.1528407Z +++ declare -f -t trap_add 2025-09-07T08:29:05.1532068Z ++ set -ex -o pipefail 2025-09-07T08:29:05.1532338Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T08:29:05.1532646Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T08:29:05.1536398Z ++ dirname .ci/pytorch/test.sh 2025-09-07T08:29:05.1546193Z + source .ci/pytorch/common-build.sh 2025-09-07T08:29:05.1547743Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *win-* ]] 2025-09-07T08:29:05.1554182Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T08:29:05.1562955Z +++ cd .ci/pytorch 2025-09-07T08:29:05.1563463Z +++ pwd -P 2025-09-07T08:29:05.1565684Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T08:29:05.1566369Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-pch* ]] 2025-09-07T08:29:05.1566719Z ++ which sccache 2025-09-07T08:29:05.1581113Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T08:29:05.1581410Z ++ sccache --stop-server 2025-09-07T08:29:05.1608304Z ++ true 2025-09-07T08:29:05.1608546Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T08:29:05.1619178Z ++ trap_add sccache_epilogue EXIT 2025-09-07T08:29:05.1619430Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T08:29:05.1619632Z ++ shift 2025-09-07T08:29:05.1619802Z ++ for trap_add_name in "$@" 2025-09-07T08:29:05.1626359Z ++++ trap -p EXIT 2025-09-07T08:29:05.1629022Z +++ eval 'extract_trap_cmd ' 2025-09-07T08:29:05.1629269Z ++++ extract_trap_cmd 2025-09-07T08:29:05.1629482Z ++++ printf '%s\n' '' 2025-09-07T08:29:05.1629964Z +++ printf '%s\n' sccache_epilogue 2025-09-07T08:29:05.1631872Z ++ trap -- ' 2025-09-07T08:29:05.1632482Z sccache_epilogue' EXIT 2025-09-07T08:29:05.1632718Z ++ [[ -n 1 ]] 2025-09-07T08:29:05.1633029Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T08:29:05.1633501Z Skipping sccache server initialization, setting environment variables 2025-09-07T08:29:05.1633854Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:29:05.1634073Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:29:05.1634354Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:29:05.1634703Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:29:05.1635021Z ++ export RUST_LOG=sccache::server=error 2025-09-07T08:29:05.1635264Z ++ RUST_LOG=sccache::server=error 2025-09-07T08:29:05.1635477Z ++ sccache --zero-stats 2025-09-07T08:29:05.2536861Z Statistics zeroed. 2025-09-07T08:29:05.2544736Z ++ which ccache 2025-09-07T08:29:05.2558714Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *rocm* ]] 2025-09-07T08:29:05.2559083Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *s390x* ]] 2025-09-07T08:29:05.2559415Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T08:29:05.2561988Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T08:29:05.2574282Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T08:29:05.2574538Z + trap_add cleanup_workspace EXIT 2025-09-07T08:29:05.2574881Z + trap_add_cmd=cleanup_workspace 2025-09-07T08:29:05.2575103Z + shift 2025-09-07T08:29:05.2575272Z + for trap_add_name in "$@" 2025-09-07T08:29:05.2582589Z +++ trap -p EXIT 2025-09-07T08:29:05.2584957Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T08:29:05.2585242Z sccache_epilogue'\'' EXIT' 2025-09-07T08:29:05.2585499Z +++ extract_trap_cmd trap -- ' 2025-09-07T08:29:05.2585743Z sccache_epilogue' EXIT 2025-09-07T08:29:05.2585957Z +++ printf '%s\n' ' 2025-09-07T08:29:05.2586149Z sccache_epilogue' 2025-09-07T08:29:05.2586362Z ++ printf '%s\n' cleanup_workspace 2025-09-07T08:29:05.2587599Z + trap -- ' 2025-09-07T08:29:05.2587786Z sccache_epilogue 2025-09-07T08:29:05.2587988Z cleanup_workspace' EXIT 2025-09-07T08:29:05.2588593Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T08:29:11.5768417Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T08:29:11.5792222Z + echo 'Environment variables:' 2025-09-07T08:29:11.5792497Z Environment variables: 2025-09-07T08:29:11.5792700Z + env 2025-09-07T08:29:11.5802733Z GITHUB_WORKSPACE=/home/grace/_work/pytorch/pytorch 2025-09-07T08:29:11.5803442Z CONTINUE_THROUGH_ERROR=True 2025-09-07T08:29:11.5803719Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T08:29:11.5809016Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T08:29:11.5809294Z HOSTNAME=fc634f5d2db4 2025-09-07T08:29:11.5809709Z GITHUB_PATH=/home/grace/_work/_temp/_runner_file_commands/add_path_54798fe1-26e8-49d8-9680-688d8aa6bd41 2025-09-07T08:29:11.5810157Z GITHUB_ACTION=__run_2 2025-09-07T08:29:11.5810377Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T08:29:11.5810613Z GITHUB_RUN_NUMBER=662 2025-09-07T08:29:11.5810848Z TEST_CONFIG=inductor_huggingface_perf_cuda_h100 2025-09-07T08:29:11.5811154Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T08:29:11.5811428Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T08:29:11.5811680Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:29:11.5812006Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T08:29:11.5812253Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T08:29:11.5812520Z GITHUB_REF_TYPE=branch 2025-09-07T08:29:11.5812749Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:29:11.5813023Z XLA_CUDA= 2025-09-07T08:29:11.5813203Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T08:29:11.5813528Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T08:29:11.5813902Z *** 2025-09-07T08:29:11.5814071Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T08:29:11.5814297Z GITHUB_ACTIONS=true 2025-09-07T08:29:11.5814495Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:29:11.5814926Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:29:11.5815238Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:29:11.5815554Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:29:11.5816077Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-h100.yml@refs/heads/main 2025-09-07T08:29:11.5816563Z UCC_HOME=/usr 2025-09-07T08:29:11.5816744Z VERBOSE_TEST_LOGS=False 2025-09-07T08:29:11.5816956Z GITHUB_REF=refs/heads/main 2025-09-07T08:29:11.5817154Z SHARD_NUMBER=1 2025-09-07T08:29:11.5817517Z GITHUB_REF_PROTECTED=true 2025-09-07T08:29:11.5817720Z HOME=/var/lib/jenkins 2025-09-07T08:29:11.5817899Z SCCACHE_SERVER_PORT=5233 2025-09-07T08:29:11.5818109Z GITHUB_API_URL=https://api.github.com 2025-09-07T08:29:11.5818357Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T08:29:11.5818623Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T08:29:11.5818869Z USE_SYSTEM_NCCL=1 2025-09-07T08:29:11.5819032Z NUM_TEST_SHARDS=5 2025-09-07T08:29:11.5819189Z UCX_HOME=/usr 2025-09-07T08:29:11.5819531Z GITHUB_STATE=/home/grace/_work/_temp/_runner_file_commands/save_state_54798fe1-26e8-49d8-9680-688d8aa6bd41 2025-09-07T08:29:11.5820057Z JOB_NAME=test-weekly / test (inductor_huggingface_perf_cuda_h100, 1, 5, linux.aws.h100) 2025-09-07T08:29:11.5820561Z GITHUB_ENV=/home/grace/_work/_temp/_runner_file_commands/set_env_54798fe1-26e8-49d8-9680-688d8aa6bd41 2025-09-07T08:29:11.5821018Z GITHUB_EVENT_PATH=/home/grace/_work/_temp/_github_workflow/event.json 2025-09-07T08:29:11.5821321Z GITHUB_EVENT_NAME=schedule 2025-09-07T08:29:11.5822211Z 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 2025-09-07T08:29:11.5823126Z GITHUB_RUN_ID=17525296438 2025-09-07T08:29:11.5823310Z INSTALLED_OPENBLAS= 2025-09-07T08:29:11.5823687Z GITHUB_STEP_SUMMARY=/home/grace/_work/_temp/_runner_file_commands/step_summary_54798fe1-26e8-49d8-9680-688d8aa6bd41 2025-09-07T08:29:11.5824110Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T08:29:11.5824304Z PR_NUMBER= 2025-09-07T08:29:11.5824452Z DESIRED_CUDA=12.8.1 2025-09-07T08:29:11.5824924Z GITHUB_RUN_ATTEMPT=1 2025-09-07T08:29:11.5825121Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T08:29:11.5825365Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T08:29:11.5825611Z TERM=vt100 2025-09-07T08:29:11.5825768Z INSTALLED_VISION=yes 2025-09-07T08:29:11.5825939Z BRANCH=main 2025-09-07T08:29:11.5826097Z SCCACHE_REGION=us-east-1 2025-09-07T08:29:11.5826287Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T08:29:11.5826664Z CUDA_PATH=/usr/local/cuda 2025-09-07T08:29:11.5826988Z GITHUB_ACTION_PATH=/home/grace/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T08:29:11.5827474Z GITHUB_SERVER_URL=https://github.com 2025-09-07T08:29:11.5827726Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T08:29:11.5827965Z REENABLED_ISSUES= 2025-09-07T08:29:11.5828125Z DOCS= 2025-09-07T08:29:11.5828265Z SHLVL=1 2025-09-07T08:29:11.5828406Z MAX_JOBS=22 2025-09-07T08:29:11.5828562Z GITHUB_ACTOR_ID=97764156 2025-09-07T08:29:11.5828810Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:29:11.5829083Z GITHUB_REF_NAME=main 2025-09-07T08:29:11.5829360Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:29:11.5829664Z GITHUB_JOB=test 2025-09-07T08:29:11.5829830Z NO_TEST_TIMEOUT=False 2025-09-07T08:29:11.5830007Z TD_DISTRIBUTED=False 2025-09-07T08:29:11.5830192Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T08:29:11.5830409Z GITHUB_RETENTION_DAYS=90 2025-09-07T08:29:11.5830601Z OPENSSL_DIR=/opt/openssl 2025-09-07T08:29:11.5830790Z GITHUB_ACTION_REPOSITORY= 2025-09-07T08:29:11.5831337Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T08:29:11.5831893Z GITHUB_BASE_REF= 2025-09-07T08:29:11.5832058Z INSTALLED_ACL= 2025-09-07T08:29:11.5832385Z ARTIFACTS_FILE_SUFFIX=test-inductor_huggingface_perf_cuda_h100-1-5-linux.aws.h100_49775781830 2025-09-07T08:29:11.5832739Z CI=true 2025-09-07T08:29:11.5832902Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T08:29:11.5833155Z RUST_LOG=sccache::server=error 2025-09-07T08:29:11.5833346Z JOB_ID=49775781830 2025-09-07T08:29:11.5833500Z GITHUB_HEAD_REF= 2025-09-07T08:29:11.5833660Z GITHUB_ACTION_REF= 2025-09-07T08:29:11.5833868Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T08:29:11.5834116Z TEST_SHOWLOCALS=False 2025-09-07T08:29:11.5834322Z GITHUB_WORKFLOW=inductor-perf-nightly-h100 2025-09-07T08:29:11.5834569Z DEBIAN_FRONTEND=noninteractive 2025-09-07T08:29:11.5834951Z GITHUB_OUTPUT=/home/grace/_work/_temp/_runner_file_commands/set_output_54798fe1-26e8-49d8-9680-688d8aa6bd41 2025-09-07T08:29:11.5835340Z NO_TD=False 2025-09-07T08:29:11.5835498Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T08:29:11.5835715Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T08:29:11.5835936Z _=/usr/bin/env 2025-09-07T08:29:11.5836165Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T08:29:11.6085631Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-09-07T08:29:11.6086166Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-09-07T08:29:11.6086670Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-09-07T08:29:11.6087182Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-09-07T08:29:11.6088568Z + BUILD_DIR=build 2025-09-07T08:29:11.6088771Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T08:29:11.6089021Z + BUILD_BIN_DIR=build/bin 2025-09-07T08:29:11.6089230Z + SHARD_NUMBER=1 2025-09-07T08:29:11.6089411Z + NUM_TEST_SHARDS=5 2025-09-07T08:29:11.6089613Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:29:11.6089876Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:29:11.6090102Z + export VALGRIND=ON 2025-09-07T08:29:11.6090291Z + VALGRIND=ON 2025-09-07T08:29:11.6090540Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *clang9* ]] 2025-09-07T08:29:11.6090883Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *xpu* ]] 2025-09-07T08:29:11.8712919Z + detect_cuda_arch 2025-09-07T08:29:11.8713293Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T08:29:11.8713619Z + command -v nvidia-smi 2025-09-07T08:29:11.8713851Z /usr/bin/nvidia-smi 2025-09-07T08:29:11.8714125Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-09-07T08:29:11.8714430Z ++ tail -n 1 2025-09-07T08:29:11.8912761Z + TORCH_CUDA_ARCH_LIST=9.0 2025-09-07T08:29:11.8913014Z + export TORCH_CUDA_ARCH_LIST 2025-09-07T08:29:11.8913661Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *s390x* ]] 2025-09-07T08:29:11.8913971Z + [[ 0 == \1 ]] 2025-09-07T08:29:11.8914155Z + [[ True == \1 ]] 2025-09-07T08:29:11.8914421Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *bazel* ]] 2025-09-07T08:29:11.8918506Z ++ realpath build/custom_test_artifacts 2025-09-07T08:29:11.8929434Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T08:29:11.8929857Z + [[ -n '' ]] 2025-09-07T08:29:11.8930040Z + echo 'Environment variables' 2025-09-07T08:29:11.8930268Z Environment variables 2025-09-07T08:29:11.8930450Z + env 2025-09-07T08:29:11.8939617Z GITHUB_WORKSPACE=/home/grace/_work/pytorch/pytorch 2025-09-07T08:29:11.8940516Z CONTINUE_THROUGH_ERROR=True 2025-09-07T08:29:11.8940887Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T08:29:11.8941438Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T08:29:11.8941673Z HOSTNAME=fc634f5d2db4 2025-09-07T08:29:11.8942104Z GITHUB_PATH=/home/grace/_work/_temp/_runner_file_commands/add_path_54798fe1-26e8-49d8-9680-688d8aa6bd41 2025-09-07T08:29:11.8942548Z GITHUB_ACTION=__run_2 2025-09-07T08:29:11.8942752Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T08:29:11.8942993Z GITHUB_RUN_NUMBER=662 2025-09-07T08:29:11.8943225Z TEST_CONFIG=inductor_huggingface_perf_cuda_h100 2025-09-07T08:29:11.8943506Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T08:29:11.8943770Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T08:29:11.8944031Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:29:11.8944342Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T08:29:11.8944598Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T08:29:11.8944841Z GITHUB_REF_TYPE=branch 2025-09-07T08:29:11.8945039Z TORCH_CUDA_ARCH_LIST=9.0 2025-09-07T08:29:11.8945275Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:29:11.8945535Z XLA_CUDA= 2025-09-07T08:29:11.8945707Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T08:29:11.8946030Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T08:29:11.8946608Z *** 2025-09-07T08:29:11.8946803Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T08:29:11.8947064Z GITHUB_ACTIONS=true 2025-09-07T08:29:11.8947611Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:29:11.8947910Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:29:11.8948244Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:29:11.8948558Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:29:11.8949121Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-h100.yml@refs/heads/main 2025-09-07T08:29:11.8949654Z UCC_HOME=/usr 2025-09-07T08:29:11.8949860Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:29:11.8950099Z VERBOSE_TEST_LOGS=False 2025-09-07T08:29:11.8950311Z GITHUB_REF=refs/heads/main 2025-09-07T08:29:11.8950531Z SHARD_NUMBER=1 2025-09-07T08:29:11.8950729Z GITHUB_REF_PROTECTED=true 2025-09-07T08:29:11.8950952Z HOME=/var/lib/jenkins 2025-09-07T08:29:11.8951155Z SCCACHE_SERVER_PORT=5233 2025-09-07T08:29:11.8951405Z GITHUB_API_URL=https://api.github.com 2025-09-07T08:29:11.8951698Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T08:29:11.8951995Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T08:29:11.8952285Z USE_SYSTEM_NCCL=1 2025-09-07T08:29:11.8952551Z NUM_TEST_SHARDS=5 2025-09-07T08:29:11.8952743Z UCX_HOME=/usr 2025-09-07T08:29:11.8953157Z GITHUB_STATE=/home/grace/_work/_temp/_runner_file_commands/save_state_54798fe1-26e8-49d8-9680-688d8aa6bd41 2025-09-07T08:29:11.8953794Z JOB_NAME=test-weekly / test (inductor_huggingface_perf_cuda_h100, 1, 5, linux.aws.h100) 2025-09-07T08:29:11.8954790Z GITHUB_ENV=/home/grace/_work/_temp/_runner_file_commands/set_env_54798fe1-26e8-49d8-9680-688d8aa6bd41 2025-09-07T08:29:11.8955362Z GITHUB_EVENT_PATH=/home/grace/_work/_temp/_github_workflow/event.json 2025-09-07T08:29:11.8955727Z GITHUB_EVENT_NAME=schedule 2025-09-07T08:29:11.8956837Z 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 2025-09-07T08:29:11.8958261Z GITHUB_RUN_ID=17525296438 2025-09-07T08:29:11.8958449Z INSTALLED_OPENBLAS= 2025-09-07T08:29:11.8958831Z GITHUB_STEP_SUMMARY=/home/grace/_work/_temp/_runner_file_commands/step_summary_54798fe1-26e8-49d8-9680-688d8aa6bd41 2025-09-07T08:29:11.8959270Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T08:29:11.8959467Z PR_NUMBER= 2025-09-07T08:29:11.8959621Z DESIRED_CUDA=12.8.1 2025-09-07T08:29:11.8959785Z GITHUB_RUN_ATTEMPT=1 2025-09-07T08:29:11.8959977Z VALGRIND=ON 2025-09-07T08:29:11.8960139Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T08:29:11.8960383Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T08:29:11.8960628Z TERM=vt100 2025-09-07T08:29:11.8960779Z INSTALLED_VISION=yes 2025-09-07T08:29:11.8960947Z BRANCH=main 2025-09-07T08:29:11.8961098Z SCCACHE_REGION=us-east-1 2025-09-07T08:29:11.8961294Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T08:29:11.8961504Z CUDA_PATH=/usr/local/cuda 2025-09-07T08:29:11.8961822Z GITHUB_ACTION_PATH=/home/grace/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T08:29:11.8962177Z GITHUB_SERVER_URL=https://github.com 2025-09-07T08:29:11.8962436Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T08:29:11.8962684Z REENABLED_ISSUES= 2025-09-07T08:29:11.8962842Z DOCS= 2025-09-07T08:29:11.8962976Z SHLVL=1 2025-09-07T08:29:11.8963124Z MAX_JOBS=22 2025-09-07T08:29:11.8963281Z GITHUB_ACTOR_ID=97764156 2025-09-07T08:29:11.8963528Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:29:11.8963814Z GITHUB_REF_NAME=main 2025-09-07T08:29:11.8964095Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:29:11.8964404Z GITHUB_JOB=test 2025-09-07T08:29:11.8964568Z NO_TEST_TIMEOUT=False 2025-09-07T08:29:11.8964738Z TD_DISTRIBUTED=False 2025-09-07T08:29:11.8964930Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T08:29:11.8965148Z GITHUB_RETENTION_DAYS=90 2025-09-07T08:29:11.8965336Z OPENSSL_DIR=/opt/openssl 2025-09-07T08:29:11.8965518Z GITHUB_ACTION_REPOSITORY= 2025-09-07T08:29:11.8966085Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T08:29:11.8966643Z GITHUB_BASE_REF= 2025-09-07T08:29:11.8966808Z INSTALLED_ACL= 2025-09-07T08:29:11.8967130Z ARTIFACTS_FILE_SUFFIX=test-inductor_huggingface_perf_cuda_h100-1-5-linux.aws.h100_49775781830 2025-09-07T08:29:11.8967630Z CI=true 2025-09-07T08:29:11.8967790Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T08:29:11.8968049Z RUST_LOG=sccache::server=error 2025-09-07T08:29:11.8968239Z JOB_ID=49775781830 2025-09-07T08:29:11.8968398Z GITHUB_HEAD_REF= 2025-09-07T08:29:11.8968555Z GITHUB_ACTION_REF= 2025-09-07T08:29:11.8968758Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T08:29:11.8968998Z TEST_SHOWLOCALS=False 2025-09-07T08:29:11.8969203Z GITHUB_WORKFLOW=inductor-perf-nightly-h100 2025-09-07T08:29:11.8969443Z DEBIAN_FRONTEND=noninteractive 2025-09-07T08:29:11.8969843Z GITHUB_OUTPUT=/home/grace/_work/_temp/_runner_file_commands/set_output_54798fe1-26e8-49d8-9680-688d8aa6bd41 2025-09-07T08:29:11.8970237Z NO_TD=False 2025-09-07T08:29:11.8970406Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T08:29:11.8970625Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T08:29:11.8970845Z _=/usr/bin/env 2025-09-07T08:29:11.8971002Z + echo 'Testing pytorch' 2025-09-07T08:29:11.8971183Z Testing pytorch 2025-09-07T08:29:11.8971355Z + export LANG=C.UTF-8 2025-09-07T08:29:11.8971523Z + LANG=C.UTF-8 2025-09-07T08:29:11.8971670Z + PR_NUMBER= 2025-09-07T08:29:11.8972081Z + [[ inductor_huggingface_perf_cuda_h100 == \d\e\f\a\u\l\t ]] 2025-09-07T08:29:11.8972446Z + [[ inductor_huggingface_perf_cuda_h100 == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T08:29:11.8972774Z + [[ inductor_huggingface_perf_cuda_h100 == \s\l\o\w ]] 2025-09-07T08:29:11.8973099Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *slow-gradcheck* ]] 2025-09-07T08:29:11.8973428Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T08:29:11.8973848Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T08:29:11.8974102Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T08:29:11.8974365Z + [[ inductor_huggingface_perf_cuda_h100 == *crossref* ]] 2025-09-07T08:29:11.8974662Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T08:29:11.8975044Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *xpu* ]] 2025-09-07T08:29:11.8975348Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *-bazel-* ]] 2025-09-07T08:29:11.8975615Z + pip_install ninja==1.10.2 2025-09-07T08:29:11.8975879Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T08:29:11.8976210Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T08:29:12.6020539Z Collecting ninja==1.10.2 2025-09-07T08:29:12.6391530Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T08:29:12.7217012Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T08:29:13.5373299Z Installing collected packages: ninja 2025-09-07T08:29:13.5373642Z Attempting uninstall: ninja 2025-09-07T08:29:13.5381674Z Found existing installation: ninja 1.11.1.3 2025-09-07T08:29:13.5403167Z Uninstalling ninja-1.11.1.3: 2025-09-07T08:29:13.6683809Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T08:29:13.8352302Z Successfully installed ninja-1.10.2 2025-09-07T08:29:13.9037960Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T08:29:13.9040397Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T08:29:13.9041801Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *aarch64* ]] 2025-09-07T08:29:13.9042420Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *asan* ]] 2025-09-07T08:29:13.9043040Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-debug* ]] 2025-09-07T08:29:13.9043677Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *-bazel-* ]] 2025-09-07T08:29:13.9044643Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm90. Expect the assertion to pass' 2025-09-07T08:29:13.9045830Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm90. Expect the assertion to pass 2025-09-07T08:29:13.9046542Z + cd test 2025-09-07T08:29:13.9047028Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T08:29:14.4141681Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:29:14.4142806Z import pynvml # type: ignore[import] 2025-09-07T08:29:15.6761160Z + [[ inductor_huggingface_perf_cuda_h100 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T08:29:15.6761720Z + [[ inductor_huggingface_perf_cuda_h100 == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T08:29:15.6762227Z + [[ inductor_huggingface_perf_cuda_h100 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T08:29:15.6764528Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T08:29:15.6765259Z + [[ inductor_huggingface_perf_cuda_h100 == *pr_time_benchmarks* ]] 2025-09-07T08:29:15.6765689Z + [[ inductor_huggingface_perf_cuda_h100 == *dynamo_eager* ]] 2025-09-07T08:29:15.6766059Z + [[ inductor_huggingface_perf_cuda_h100 == *aot_eager* ]] 2025-09-07T08:29:15.6766941Z + [[ inductor_huggingface_perf_cuda_h100 == *aot_inductor* ]] 2025-09-07T08:29:15.6767742Z + [[ inductor_huggingface_perf_cuda_h100 == *max_autotune_inductor* ]] 2025-09-07T08:29:15.6768148Z + [[ inductor_huggingface_perf_cuda_h100 == *inductor* ]] 2025-09-07T08:29:15.6768488Z + [[ inductor_huggingface_perf_cuda_h100 != *perf* ]] 2025-09-07T08:29:15.6768811Z + [[ inductor_huggingface_perf_cuda_h100 == *dynamic* ]] 2025-09-07T08:29:15.6769340Z + [[ inductor_huggingface_perf_cuda_h100 == *cpu* ]] 2025-09-07T08:29:15.6769643Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-09-07T08:29:15.6783608Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *libtorch* ]] 2025-09-07T08:29:15.6783961Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-bazel-* ]] 2025-09-07T08:29:15.6787794Z + cd test 2025-09-07T08:29:15.6788373Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T08:29:16.4049048Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:29:16.4050804Z import pynvml # type: ignore[import] 2025-09-07T08:29:18.7416249Z PyTorch built with: 2025-09-07T08:29:18.7416607Z - GCC 9.5 2025-09-07T08:29:18.7416891Z - C++ Version: 201703 2025-09-07T08:29:18.7418036Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T08:29:18.7419002Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T08:29:18.7419597Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T08:29:18.7420040Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T08:29:18.7420487Z - NNPACK is enabled 2025-09-07T08:29:18.7420831Z - CPU capability usage: AVX2 2025-09-07T08:29:18.7421197Z - CUDA Runtime 12.8 2025-09-07T08:29:18.7421670Z - NVCC architecture flags: -gencode;arch=compute_90,code=sm_90 2025-09-07T08:29:18.7422193Z - CuDNN 90.8 2025-09-07T08:29:18.7428555Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=93fb23d6fae7c4e82c4239a1033e522088742634, CUDA_VERSION=12.8, CUDNN_VERSION=9.8.0, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=ON, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-09-07T08:29:19.8109072Z 2025-09-07T08:29:19.8109314Z + cd test 2025-09-07T08:29:19.8109712Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T08:29:20.3420105Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:29:20.3421900Z import pynvml # type: ignore[import] 2025-09-07T08:29:21.0412538Z ATen/Parallel: 2025-09-07T08:29:21.0412976Z at::get_num_threads() : 24 2025-09-07T08:29:21.0413386Z at::get_num_interop_threads() : 96 2025-09-07T08:29:21.0413826Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T08:29:21.0414988Z omp_get_max_threads() : 24 2025-09-07T08:29:21.0415795Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T08:29:21.0416594Z mkl_get_max_threads() : 24 2025-09-07T08:29:21.0417100Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T08:29:21.0418122Z std::thread::hardware_concurrency() : 192 2025-09-07T08:29:21.0418952Z Environment variables: 2025-09-07T08:29:21.0419289Z OMP_NUM_THREADS : [not set] 2025-09-07T08:29:21.0419644Z MKL_NUM_THREADS : [not set] 2025-09-07T08:29:21.0420008Z ATen parallel backend: OpenMP 2025-09-07T08:29:21.0420263Z 2025-09-07T08:29:21.2831127Z + [[ inductor_huggingface_perf_cuda_h100 == *numpy_2* ]] 2025-09-07T08:29:21.2831502Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *aarch64* ]] 2025-09-07T08:29:21.2831860Z + [[ inductor_huggingface_perf_cuda_h100 == *backward* ]] 2025-09-07T08:29:21.2832195Z + [[ inductor_huggingface_perf_cuda_h100 == *xla* ]] 2025-09-07T08:29:21.2832501Z + [[ inductor_huggingface_perf_cuda_h100 == *vllm* ]] 2025-09-07T08:29:21.2832830Z + [[ inductor_huggingface_perf_cuda_h100 == *executorch* ]] 2025-09-07T08:29:21.2833199Z + [[ inductor_huggingface_perf_cuda_h100 == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T08:29:21.2833579Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *libtorch* ]] 2025-09-07T08:29:21.2833929Z + [[ inductor_huggingface_perf_cuda_h100 == distributed ]] 2025-09-07T08:29:21.2834306Z + [[ inductor_huggingface_perf_cuda_h100 == *operator_benchmark* ]] 2025-09-07T08:29:21.2834707Z + [[ inductor_huggingface_perf_cuda_h100 == *inductor_distributed* ]] 2025-09-07T08:29:21.2835101Z + [[ inductor_huggingface_perf_cuda_h100 == *inductor-halide* ]] 2025-09-07T08:29:21.2835494Z + [[ inductor_huggingface_perf_cuda_h100 == *inductor-triton-cpu* ]] 2025-09-07T08:29:21.2835918Z + [[ inductor_huggingface_perf_cuda_h100 == *inductor-micro-benchmark* ]] 2025-09-07T08:29:21.2836328Z + [[ inductor_huggingface_perf_cuda_h100 == *huggingface* ]] 2025-09-07T08:29:21.2836624Z + install_torchvision 2025-09-07T08:29:21.2836832Z + local orig_preload 2025-09-07T08:29:21.2837020Z + local commit 2025-09-07T08:29:21.2837199Z ++ get_pinned_commit vision 2025-09-07T08:29:21.2838128Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T08:29:21.2852022Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T08:29:21.2852372Z + orig_preload= 2025-09-07T08:29:21.2852564Z + '[' -n '' ']' 2025-09-07T08:29:21.2852778Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T08:29:21.2853043Z + export FORCE_CUDA=1 2025-09-07T08:29:21.2853216Z + FORCE_CUDA=1 2025-09-07T08:29:21.2853376Z + export WITH_CUDA=1 2025-09-07T08:29:21.2853536Z + WITH_CUDA=1 2025-09-07T08:29:21.2853959Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T08:29:21.2854634Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T08:29:21.2855175Z + local wheel_dir=dist/vision 2025-09-07T08:29:21.2855368Z + local found_whl=0 2025-09-07T08:29:21.2855551Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:29:21.2855886Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T08:29:21.2856214Z + found_whl=1 2025-09-07T08:29:21.2856360Z + break 2025-09-07T08:29:21.2856499Z + '[' 1 == 0 ']' 2025-09-07T08:29:21.2856674Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:29:21.2857039Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:29:21.2857670Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl') 2025-09-07T08:29:21.2857989Z + local args 2025-09-07T08:29:21.2858269Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T08:29:21.2858617Z + for path in "${args[@]}" 2025-09-07T08:29:21.2858953Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl' 2025-09-07T08:29:21.2859743Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:29:21.2860403Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:29:21.6258106Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:29:21.6345012Z Installing collected packages: torchvision 2025-09-07T08:29:23.4913671Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T08:29:23.5282674Z + '[' -n '' ']' 2025-09-07T08:29:23.5282985Z + id=0 2025-09-07T08:29:23.5283290Z + test_dynamo_benchmark huggingface 0 2025-09-07T08:29:23.5289570Z ++ pwd 2025-09-07T08:29:23.5293230Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:29:23.5293583Z + local suite=huggingface 2025-09-07T08:29:23.5293783Z + shift 2025-09-07T08:29:23.5293938Z + local shard_id=0 2025-09-07T08:29:23.5294104Z + shift 2025-09-07T08:29:23.5294349Z + [[ inductor_huggingface_perf_cuda_h100 == *perf_compare* ]] 2025-09-07T08:29:23.5294681Z + [[ inductor_huggingface_perf_cuda_h100 == *perf* ]] 2025-09-07T08:29:23.5295101Z + [[ inductor_huggingface_perf_cuda_h100 == *b200* ]] 2025-09-07T08:29:23.5295407Z + test_single_dynamo_benchmark dashboard huggingface 0 2025-09-07T08:29:23.5298979Z ++ pwd 2025-09-07T08:29:23.5301471Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:29:23.5301879Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:29:23.5321877Z + local name=dashboard 2025-09-07T08:29:23.5322106Z + shift 2025-09-07T08:29:23.5322398Z + local suite=huggingface 2025-09-07T08:29:23.5322623Z + shift 2025-09-07T08:29:23.5322802Z + local shard_id=0 2025-09-07T08:29:23.5322994Z + shift 2025-09-07T08:29:23.5323174Z + partition_flags=() 2025-09-07T08:29:23.5323401Z + local partition_flags 2025-09-07T08:29:23.5323623Z + [[ -n 5 ]] 2025-09-07T08:29:23.5323809Z + [[ -n 0 ]] 2025-09-07T08:29:23.5324182Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T08:29:23.5324695Z + [[ inductor_huggingface_perf_cuda_h100 == *perf_compare* ]] 2025-09-07T08:29:23.5325074Z + [[ inductor_huggingface_perf_cuda_h100 == *perf* ]] 2025-09-07T08:29:23.5325571Z + test_perf_for_dashboard huggingface --device cuda --total-partitions 5 --partition-id 0 2025-09-07T08:29:23.5326385Z ++ pwd 2025-09-07T08:29:23.5329387Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:29:23.5329796Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:29:23.5345254Z + local suite=huggingface 2025-09-07T08:29:23.5345469Z + shift 2025-09-07T08:29:23.5345643Z + local backend=inductor 2025-09-07T08:29:23.5345846Z + modes=() 2025-09-07T08:29:23.5346018Z + local modes 2025-09-07T08:29:23.5347128Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *training-true* ]] 2025-09-07T08:29:23.5348529Z + modes+=(training) 2025-09-07T08:29:23.5349653Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *inference-true* ]] 2025-09-07T08:29:23.5350824Z + modes+=(inference) 2025-09-07T08:29:23.5351042Z + targets=('accuracy' 'performance') 2025-09-07T08:29:23.5351281Z + local targets 2025-09-07T08:29:23.5351454Z + local device=cuda 2025-09-07T08:29:23.5351667Z + [[ inductor_huggingface_perf_cuda_h100 == *cpu* ]] 2025-09-07T08:29:23.5352000Z + [[ inductor_huggingface_perf_cuda_h100 == *cuda_a10g* ]] 2025-09-07T08:29:23.5352326Z + [[ inductor_huggingface_perf_cuda_h100 == *h100* ]] 2025-09-07T08:29:23.5352591Z + device=cuda_h100 2025-09-07T08:29:23.5352774Z + for mode in "${modes[@]}" 2025-09-07T08:29:23.5352989Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T08:29:23.5353770Z + [[ training == \t\r\a\i\n\i\n\g ]] 2025-09-07T08:29:23.5354010Z + dtype=amp 2025-09-07T08:29:23.5354179Z + for target in "${targets[@]}" 2025-09-07T08:29:23.5354399Z + target_flag=('--accuracy') 2025-09-07T08:29:23.5354610Z + local target_flag 2025-09-07T08:29:23.5354807Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T08:29:23.5355053Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T08:29:23.5355309Z + target_flag+=(--no-translation-validation) 2025-09-07T08:29:23.5356617Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freezing-true* ]] 2025-09-07T08:29:23.5358706Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *default-true* ]] 2025-09-07T08:29:23.5360776Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.csv 2025-09-07T08:29:24.5381952Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:29:24.5383453Z import pynvml # type: ignore[import] 2025-09-07T08:29:28.6129996Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:29:28.6132303Z from pkg_resources import resource_filename 2025-09-07T08:29:28.9718890Z 2025-09-07T08:29:28.9719657Z config.json: 0% 0.00/694 [00:00 will be ignored 2025-09-07T08:30:38.6370947Z pass 2025-09-07T08:30:42.5344185Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:30:42.5345586Z import pynvml # type: ignore[import] 2025-09-07T08:30:45.6275230Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:30:45.6276608Z from pkg_resources import resource_filename 2025-09-07T08:30:46.3009274Z 2025-09-07T08:30:49.0234207Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:30:49.0234659Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:30:49.0235060Z cuda train AllenaiLongformerBase 2025-09-07T08:30:50.1649336Z W0907 08:30:50.164000 2071 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T08:30:50.1650298Z W0907 08:30:50.164000 2071 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T08:30:50.1651037Z W0907 08:30:50.164000 2071 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: 2025-09-07T08:30:50.1651798Z W0907 08:30:50.164000 2071 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T08:30:50.1652676Z W0907 08:30:50.164000 2071 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. 2025-09-07T08:30:50.1653388Z W0907 08:30:50.164000 2071 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:30:50.1654045Z W0907 08:30:50.164000 2071 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: 2025-09-07T08:30:50.1655325Z W0907 08:30:50.164000 2071 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:30:50.1656487Z W0907 08:30:50.164000 2071 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] pred = mod(**cloned_inputs) 2025-09-07T08:30:50.1658672Z W0907 08:30:50.164000 2071 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1703, in forward 2025-09-07T08:30:50.1659785Z W0907 08:30:50.164000 2071 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] outputs = self.longformer( 2025-09-07T08:30:50.1660855Z W0907 08:30:50.164000 2071 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1600, in forward 2025-09-07T08:30:50.1662135Z W0907 08:30:50.164000 2071 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] encoder_outputs = self.encoder( 2025-09-07T08:30:50.1663209Z W0907 08:30:50.164000 2071 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1244, in forward 2025-09-07T08:30:50.1664353Z W0907 08:30:50.164000 2071 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] is_global_attn = is_index_global_attn.flatten().any().item() 2025-09-07T08:30:50.1665048Z W0907 08:30:50.164000 2071 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:30:50.1665545Z W0907 08:30:50.164000 2071 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:31:46.4666903Z W0907 08:31:46.465000 2071 site-packages/torch/_logging/_internal.py:1199] [18/0] Profiler function will be ignored 2025-09-07T08:32:16.0334210Z pass 2025-09-07T08:32:21.9556354Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:32:21.9558037Z import pynvml # type: ignore[import] 2025-09-07T08:32:25.0860063Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:32:25.0861453Z from pkg_resources import resource_filename 2025-09-07T08:32:25.6965343Z 2025-09-07T08:32:29.2125604Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:32:29.2125994Z loading model: 0it [00:03, ?it/s] 2025-09-07T08:32:29.2126298Z cuda train BartForCausalLM 2025-09-07T08:32:38.3076310Z pass 2025-09-07T08:32:41.7411479Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:32:41.7413157Z import pynvml # type: ignore[import] 2025-09-07T08:32:44.9139902Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:32:44.9141182Z from pkg_resources import resource_filename 2025-09-07T08:32:45.5758689Z 2025-09-07T08:32:51.3714941Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:32:51.3715336Z loading model: 0it [00:05, ?it/s] 2025-09-07T08:32:51.3715712Z cuda train BartForConditionalGeneration 2025-09-07T08:33:03.6077112Z pass 2025-09-07T08:33:07.3212342Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:33:07.3214612Z import pynvml # type: ignore[import] 2025-09-07T08:33:10.4637952Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:33:10.4639554Z from pkg_resources import resource_filename 2025-09-07T08:33:11.0629199Z 2025-09-07T08:33:13.2451361Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:33:13.2451728Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:33:13.2452032Z cuda train BertForMaskedLM 2025-09-07T08:33:36.4204578Z W0907 08:33:36.418000 4693 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:34:04.7902741Z pass 2025-09-07T08:34:10.2181336Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:34:10.2182568Z import pynvml # type: ignore[import] 2025-09-07T08:34:13.2850107Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:34:13.2852046Z from pkg_resources import resource_filename 2025-09-07T08:34:13.8651429Z 2025-09-07T08:34:16.0573741Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:34:16.0574050Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:34:16.0574304Z cuda train BertForQuestionAnswering 2025-09-07T08:34:39.2456242Z W0907 08:34:39.244000 5398 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:35:06.0189873Z E0907 08:35:06.018000 5398 site-packages/torch/_dynamo/utils.py:3115] RMSE (res-fp64): 0.62293, (ref-fp64): 0.06434 and shape=torch.Size([]). res.dtype: torch.float32, multiplier: 3.000000, tol: 0.010000, use_larger_multiplier_for_smaller_tensor: 0 2025-09-07T08:35:06.0815035Z fail_accuracy 2025-09-07T08:35:11.1299373Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:35:11.1301155Z import pynvml # type: ignore[import] 2025-09-07T08:35:14.2009936Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:35:14.2011169Z from pkg_resources import resource_filename 2025-09-07T08:35:14.8058149Z 2025-09-07T08:35:38.5361490Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:35:38.5361865Z loading model: 0it [00:23, ?it/s] 2025-09-07T08:35:38.5362192Z cuda train BlenderbotForCausalLM 2025-09-07T08:35:38.5567077Z pass_due_to_skip 2025-09-07T08:35:39.8714062Z accuracy pass_rate=75.00% 2025-09-07T08:35:39.8719804Z calls_captured gmean=0.00x mean=810.000x 2025-09-07T08:35:39.8723354Z unique_graphs gmean=0.00x mean=3.875x 2025-09-07T08:35:39.8726693Z graph_breaks gmean=0.00x mean=5.250x 2025-09-07T08:35:39.8730280Z unique_graph_breaks gmean=0.00x mean=3.875x 2025-09-07T08:35:39.8733387Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:35:39.8736715Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:35:39.8741816Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T08:35:39.8742299Z compilation_latency mean=31.343 seconds 2025-09-07T08:35:40.9383295Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *cudagraphs-true* ]] 2025-09-07T08:35:40.9385383Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 5 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.csv 2025-09-07T08:35:41.8976045Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:35:41.8977186Z import pynvml # type: ignore[import] 2025-09-07T08:35:45.1184557Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:35:45.1185962Z from pkg_resources import resource_filename 2025-09-07T08:35:47.5940797Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:35:47.5942326Z import pynvml # type: ignore[import] 2025-09-07T08:35:50.8579508Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:35:50.8581856Z from pkg_resources import resource_filename 2025-09-07T08:35:51.5676117Z 2025-09-07T08:35:54.1477089Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:35:54.1477860Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:35:54.1478197Z cuda train AlbertForMaskedLM 2025-09-07T08:36:15.0237793Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:36:15.0239001Z pred = mod(**cloned_inputs) 2025-09-07T08:36:15.0239653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward 2025-09-07T08:36:15.0240308Z outputs = self.albert( 2025-09-07T08:36:15.0240902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/albert/modeling_albert.py", line 700, in forward 2025-09-07T08:36:15.0241517Z embedding_output = self.embeddings( 2025-09-07T08:36:15.0242113Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/albert/modeling_albert.py", line 238, in forward 2025-09-07T08:36:15.0242814Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T08:36:15.0243087Z 2025-09-07T08:36:15.0243092Z 2025-09-07T08:36:15.5743927Z pass 2025-09-07T08:36:19.5873919Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:36:19.5875341Z import pynvml # type: ignore[import] 2025-09-07T08:36:22.7210023Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:36:22.7212029Z from pkg_resources import resource_filename 2025-09-07T08:36:23.3186204Z 2025-09-07T08:36:28.1944969Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:36:28.1945297Z loading model: 0it [00:04, ?it/s] 2025-09-07T08:36:28.1945591Z cuda train AlbertForQuestionAnswering 2025-09-07T08:36:49.5609657Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:36:49.5610762Z pred = mod(**cloned_inputs) 2025-09-07T08:36:49.5611439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/albert/modeling_albert.py", line 1197, in forward 2025-09-07T08:36:49.5612053Z outputs = self.albert( 2025-09-07T08:36:49.5612638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/albert/modeling_albert.py", line 700, in forward 2025-09-07T08:36:49.5613287Z embedding_output = self.embeddings( 2025-09-07T08:36:49.5613935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/albert/modeling_albert.py", line 238, in forward 2025-09-07T08:36:49.5614709Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T08:36:49.5614988Z 2025-09-07T08:36:49.5614993Z 2025-09-07T08:36:49.9283802Z W0907 08:36:49.927000 6318 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:36:53.7853405Z pass 2025-09-07T08:36:57.5787741Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:36:57.5788983Z import pynvml # type: ignore[import] 2025-09-07T08:37:00.7008457Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:37:00.7009867Z from pkg_resources import resource_filename 2025-09-07T08:37:01.3413425Z 2025-09-07T08:37:04.0583845Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:37:04.0584439Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:37:04.0584897Z cuda train AllenaiLongformerBase 2025-09-07T08:37:05.1762162Z W0907 08:37:05.175000 6576 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T08:37:05.1763692Z W0907 08:37:05.175000 6576 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T08:37:05.1764884Z W0907 08:37:05.175000 6576 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: 2025-09-07T08:37:05.1766016Z W0907 08:37:05.175000 6576 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T08:37:05.1767992Z W0907 08:37:05.175000 6576 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. 2025-09-07T08:37:05.1769176Z W0907 08:37:05.175000 6576 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:37:05.1770222Z W0907 08:37:05.175000 6576 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: 2025-09-07T08:37:05.1772666Z W0907 08:37:05.175000 6576 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:37:05.1774640Z W0907 08:37:05.175000 6576 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] pred = mod(**cloned_inputs) 2025-09-07T08:37:05.1775946Z W0907 08:37:05.175000 6576 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1703, in forward 2025-09-07T08:37:05.1777177Z W0907 08:37:05.175000 6576 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] outputs = self.longformer( 2025-09-07T08:37:05.1778344Z W0907 08:37:05.175000 6576 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1600, in forward 2025-09-07T08:37:05.1779364Z W0907 08:37:05.175000 6576 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] encoder_outputs = self.encoder( 2025-09-07T08:37:05.1780372Z W0907 08:37:05.175000 6576 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1244, in forward 2025-09-07T08:37:05.1781454Z W0907 08:37:05.175000 6576 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] is_global_attn = is_index_global_attn.flatten().any().item() 2025-09-07T08:37:05.1782092Z W0907 08:37:05.175000 6576 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:37:05.1782551Z W0907 08:37:05.175000 6576 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:37:58.2805444Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-09-07T08:37:58.2806666Z layer_outputs = layer_module( 2025-09-07T08:37:58.2807222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:37:58.2808016Z return super().__call__(*args, **kwargs) 2025-09-07T08:37:58.2808710Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T08:37:58.2809388Z self_attn_outputs = self.attention( 2025-09-07T08:37:58.2810035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T08:37:58.2810680Z self_outputs = self.self( 2025-09-07T08:37:58.2811400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T08:37:58.2812062Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T08:37:58.2812815Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 874, in _sliding_chunks_matmul_attn_probs_value 2025-09-07T08:37:58.2813673Z chunked_value = padded_value.as_strided(size=chunked_value_size, stride=chunked_value_stride) 2025-09-07T08:37:58.2814027Z 2025-09-07T08:37:58.2814030Z 2025-09-07T08:37:58.7400490Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward 2025-09-07T08:37:58.7401710Z embedding_output = self.embeddings( 2025-09-07T08:37:58.7402436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 425, in forward 2025-09-07T08:37:58.7403662Z token_type_embeddings = self.token_type_embeddings(token_type_ids) 2025-09-07T08:37:58.7403977Z 2025-09-07T08:37:58.7403981Z 2025-09-07T08:37:58.7598159Z W0907 08:37:58.758000 6576 site-packages/torch/_logging/_internal.py:1199] [18/0] Profiler function will be ignored 2025-09-07T08:38:27.2834323Z pass 2025-09-07T08:38:33.0698505Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:38:33.0700465Z import pynvml # type: ignore[import] 2025-09-07T08:38:36.1559382Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:38:36.1560829Z from pkg_resources import resource_filename 2025-09-07T08:38:36.7637191Z 2025-09-07T08:38:40.4742271Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:38:40.4742635Z loading model: 0it [00:03, ?it/s] 2025-09-07T08:38:40.4742939Z cuda train BartForCausalLM 2025-09-07T08:38:47.7179940Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bart/modeling_bart.py", line 101, in forward 2025-09-07T08:38:47.7181015Z return super().forward(position_ids + self.offset) 2025-09-07T08:38:47.7181252Z 2025-09-07T08:38:47.7181255Z 2025-09-07T08:38:47.8939279Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bart/modeling_bart.py", line 114, in forward 2025-09-07T08:38:47.8940832Z return super().forward(input_ids) * self.embed_scale 2025-09-07T08:38:47.8941193Z 2025-09-07T08:38:47.8941198Z 2025-09-07T08:38:48.6189331Z pass 2025-09-07T08:38:52.3495684Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:38:52.3497025Z import pynvml # type: ignore[import] 2025-09-07T08:38:55.4731216Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:38:55.4732603Z from pkg_resources import resource_filename 2025-09-07T08:38:56.0785098Z 2025-09-07T08:39:01.8985439Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:39:01.8985777Z loading model: 0it [00:05, ?it/s] 2025-09-07T08:39:01.8986076Z cuda train BartForConditionalGeneration 2025-09-07T08:39:05.6910137Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bart/modeling_bart.py", line 114, in forward 2025-09-07T08:39:05.6911270Z return super().forward(input_ids) * self.embed_scale 2025-09-07T08:39:05.6911510Z 2025-09-07T08:39:05.6911514Z 2025-09-07T08:39:07.9045266Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bart/modeling_bart.py", line 101, in forward 2025-09-07T08:39:07.9046347Z return super().forward(position_ids + self.offset) 2025-09-07T08:39:07.9046585Z 2025-09-07T08:39:07.9046596Z 2025-09-07T08:39:12.4588023Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bart/modeling_bart.py", line 101, in forward 2025-09-07T08:39:12.4589100Z return super().forward(position_ids + self.offset) 2025-09-07T08:39:12.4589315Z 2025-09-07T08:39:12.4589326Z 2025-09-07T08:39:14.9770764Z pass 2025-09-07T08:39:18.7099524Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:39:18.7100766Z import pynvml # type: ignore[import] 2025-09-07T08:39:21.7600663Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:39:21.7602123Z from pkg_resources import resource_filename 2025-09-07T08:39:22.4640038Z 2025-09-07T08:39:24.6080684Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:39:24.6081055Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:39:24.6081355Z cuda train BertForMaskedLM 2025-09-07T08:39:47.8014929Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:39:47.8016017Z pred = mod(**cloned_inputs) 2025-09-07T08:39:47.8016628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward 2025-09-07T08:39:47.8017241Z outputs = self.bert( 2025-09-07T08:39:47.8018278Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 964, in forward 2025-09-07T08:39:47.8018911Z embedding_output = self.embeddings( 2025-09-07T08:39:47.8019510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 186, in forward 2025-09-07T08:39:47.8020181Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T08:39:47.8020476Z 2025-09-07T08:39:47.8020480Z 2025-09-07T08:39:48.0225150Z W0907 08:39:48.021000 7350 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:40:16.0603304Z Run failed with return code: -11 2025-09-07T08:40:16.0603657Z Output: None 2025-09-07T08:40:16.0603861Z Error: None 2025-09-07T08:40:17.0669933Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:40:17.0671016Z import pynvml # type: ignore[import] 2025-09-07T08:40:20.1488267Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:40:20.1489698Z from pkg_resources import resource_filename 2025-09-07T08:40:20.8268346Z 2025-09-07T08:40:22.6068962Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:40:22.6069307Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:40:22.6069603Z cuda train BertForQuestionAnswering 2025-09-07T08:40:45.7157205Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:40:45.7158922Z pred = mod(**cloned_inputs) 2025-09-07T08:40:45.7159518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 1767, in forward 2025-09-07T08:40:45.7160116Z outputs = self.bert( 2025-09-07T08:40:45.7160944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 964, in forward 2025-09-07T08:40:45.7161543Z embedding_output = self.embeddings( 2025-09-07T08:40:45.7162118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 186, in forward 2025-09-07T08:40:45.7162770Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T08:40:45.7163071Z 2025-09-07T08:40:45.7163075Z 2025-09-07T08:40:45.9361827Z W0907 08:40:45.935000 7605 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:41:12.8789665Z Run failed with return code: -11 2025-09-07T08:41:12.8790004Z Output: None 2025-09-07T08:41:12.8790201Z Error: None 2025-09-07T08:41:13.8538764Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:41:13.8540058Z import pynvml # type: ignore[import] 2025-09-07T08:41:17.2641608Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:41:17.2643099Z from pkg_resources import resource_filename 2025-09-07T08:41:17.8833496Z 2025-09-07T08:41:41.8972151Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:41:41.8972525Z loading model: 0it [00:24, ?it/s] 2025-09-07T08:41:41.8972832Z cuda train BlenderbotForCausalLM 2025-09-07T08:41:41.9336959Z pass_due_to_skip 2025-09-07T08:41:43.2551398Z accuracy pass_rate=83.33% 2025-09-07T08:41:43.2558035Z calls_captured gmean=0.00x mean=641.333x 2025-09-07T08:41:43.2560980Z unique_graphs gmean=0.00x mean=4.500x 2025-09-07T08:41:43.2563899Z graph_breaks gmean=0.00x mean=5.333x 2025-09-07T08:41:43.2566998Z unique_graph_breaks gmean=0.00x mean=3.833x 2025-09-07T08:41:43.2570333Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:41:43.2573418Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:41:43.2576581Z cudagraph_skips gmean=0.00x mean=1.500x 2025-09-07T08:41:43.2577922Z compilation_latency mean=23.435 seconds 2025-09-07T08:41:44.4852738Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *dynamic-true* ]] 2025-09-07T08:41:44.4855373Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --dynamic-shapes --dynamic-batch-only --device cuda --total-partitions 5 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_accuracy.csv 2025-09-07T08:41:45.4286049Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:41:45.4287625Z import pynvml # type: ignore[import] 2025-09-07T08:41:48.6132869Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:41:48.6134283Z from pkg_resources import resource_filename 2025-09-07T08:41:51.1053315Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:41:51.1055393Z import pynvml # type: ignore[import] 2025-09-07T08:41:54.2639752Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:41:54.2641113Z from pkg_resources import resource_filename 2025-09-07T08:41:54.8460114Z 2025-09-07T08:41:57.3796563Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:41:57.3796874Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:41:57.3797122Z cuda train AlbertForMaskedLM 2025-09-07T08:42:02.7091955Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:42:02.7093195Z pred = mod(**cloned_inputs) 2025-09-07T08:42:02.7093880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward 2025-09-07T08:42:02.7094552Z outputs = self.albert( 2025-09-07T08:42:02.7095276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/albert/modeling_albert.py", line 700, in forward 2025-09-07T08:42:02.7095953Z embedding_output = self.embeddings( 2025-09-07T08:42:02.7096598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/albert/modeling_albert.py", line 238, in forward 2025-09-07T08:42:02.7097802Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T08:42:02.7098095Z 2025-09-07T08:42:02.7098108Z 2025-09-07T08:42:03.4681669Z pass 2025-09-07T08:42:06.9301229Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:42:06.9302476Z import pynvml # type: ignore[import] 2025-09-07T08:42:10.0832244Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:42:10.0833662Z from pkg_resources import resource_filename 2025-09-07T08:42:10.7187234Z 2025-09-07T08:42:13.1802099Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:42:13.1802465Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:42:13.1802836Z cuda train AlbertForQuestionAnswering 2025-09-07T08:42:18.4260671Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:42:18.4261862Z pred = mod(**cloned_inputs) 2025-09-07T08:42:18.4262669Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/albert/modeling_albert.py", line 1197, in forward 2025-09-07T08:42:18.4916142Z outputs = self.albert( 2025-09-07T08:42:18.4916965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/albert/modeling_albert.py", line 700, in forward 2025-09-07T08:42:18.4918100Z embedding_output = self.embeddings( 2025-09-07T08:42:18.4918732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/albert/modeling_albert.py", line 238, in forward 2025-09-07T08:42:18.4919733Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T08:42:18.4920009Z 2025-09-07T08:42:18.4920014Z 2025-09-07T08:42:19.1662778Z W0907 08:42:19.165000 8147 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:42:20.2205914Z pass 2025-09-07T08:42:23.5075866Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:42:23.5077114Z import pynvml # type: ignore[import] 2025-09-07T08:42:26.6324938Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:42:26.6326325Z from pkg_resources import resource_filename 2025-09-07T08:42:27.2308800Z 2025-09-07T08:42:29.9967249Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:42:29.9968062Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:42:29.9968544Z cuda train AllenaiLongformerBase 2025-09-07T08:42:31.1424102Z W0907 08:42:31.141000 8307 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T08:42:31.1425116Z W0907 08:42:31.141000 8307 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T08:42:31.1425886Z W0907 08:42:31.141000 8307 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: 2025-09-07T08:42:31.1426759Z W0907 08:42:31.141000 8307 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T08:42:31.1428111Z W0907 08:42:31.141000 8307 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. 2025-09-07T08:42:31.1428830Z W0907 08:42:31.141000 8307 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:42:31.1429480Z W0907 08:42:31.141000 8307 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: 2025-09-07T08:42:31.1430660Z W0907 08:42:31.141000 8307 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:42:31.1431855Z W0907 08:42:31.141000 8307 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] pred = mod(**cloned_inputs) 2025-09-07T08:42:31.1433025Z W0907 08:42:31.141000 8307 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1703, in forward 2025-09-07T08:42:31.1434192Z W0907 08:42:31.141000 8307 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] outputs = self.longformer( 2025-09-07T08:42:31.1435347Z W0907 08:42:31.141000 8307 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1600, in forward 2025-09-07T08:42:31.1436504Z W0907 08:42:31.141000 8307 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] encoder_outputs = self.encoder( 2025-09-07T08:42:31.1438195Z W0907 08:42:31.141000 8307 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1244, in forward 2025-09-07T08:42:31.1439216Z W0907 08:42:31.141000 8307 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] is_global_attn = is_index_global_attn.flatten().any().item() 2025-09-07T08:42:31.1440841Z W0907 08:42:31.141000 8307 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:42:31.1441272Z W0907 08:42:31.141000 8307 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:42:33.4268259Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward 2025-09-07T08:42:33.4269377Z embedding_output = self.embeddings( 2025-09-07T08:42:33.4270069Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 425, in forward 2025-09-07T08:42:33.4270824Z token_type_embeddings = self.token_type_embeddings(token_type_ids) 2025-09-07T08:42:33.4271107Z 2025-09-07T08:42:33.4271110Z 2025-09-07T08:42:37.3548258Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-09-07T08:42:37.3549565Z layer_outputs = layer_module( 2025-09-07T08:42:37.3550111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:42:37.3550663Z return super().__call__(*args, **kwargs) 2025-09-07T08:42:37.3551332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T08:42:37.3551974Z self_attn_outputs = self.attention( 2025-09-07T08:42:37.3552607Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T08:42:37.3553248Z self_outputs = self.self( 2025-09-07T08:42:37.3553853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T08:42:37.3554556Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T08:42:37.3555367Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 874, in _sliding_chunks_matmul_attn_probs_value 2025-09-07T08:42:37.3556299Z chunked_value = padded_value.as_strided(size=chunked_value_size, stride=chunked_value_stride) 2025-09-07T08:42:37.3556670Z 2025-09-07T08:42:37.3556673Z 2025-09-07T08:42:38.2848310Z W0907 08:42:38.284000 8307 site-packages/torch/_logging/_internal.py:1199] [18/0] Profiler function will be ignored 2025-09-07T08:42:44.7697679Z pass 2025-09-07T08:42:48.3429716Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:42:48.3431002Z import pynvml # type: ignore[import] 2025-09-07T08:42:51.5416989Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:42:51.5419689Z from pkg_resources import resource_filename 2025-09-07T08:42:52.1508097Z 2025-09-07T08:42:55.7602422Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:42:55.7602834Z loading model: 0it [00:03, ?it/s] 2025-09-07T08:42:55.7603147Z cuda train BartForCausalLM 2025-09-07T08:42:58.6261615Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bart/modeling_bart.py", line 114, in forward 2025-09-07T08:42:58.6263098Z return super().forward(input_ids) * self.embed_scale 2025-09-07T08:42:58.6263317Z 2025-09-07T08:42:58.6263321Z 2025-09-07T08:42:58.7984718Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bart/modeling_bart.py", line 101, in forward 2025-09-07T08:42:58.7985890Z return super().forward(position_ids + self.offset) 2025-09-07T08:42:58.7986113Z 2025-09-07T08:42:58.7986124Z 2025-09-07T08:43:00.1524632Z pass 2025-09-07T08:43:03.6235342Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:43:03.6236665Z import pynvml # type: ignore[import] 2025-09-07T08:43:06.6806791Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:43:06.6808956Z from pkg_resources import resource_filename 2025-09-07T08:43:07.2656965Z 2025-09-07T08:43:13.0822337Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:43:13.0822667Z loading model: 0it [00:05, ?it/s] 2025-09-07T08:43:13.0822994Z cuda train BartForConditionalGeneration 2025-09-07T08:43:16.8581557Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bart/modeling_bart.py", line 114, in forward 2025-09-07T08:43:16.8582652Z return super().forward(input_ids) * self.embed_scale 2025-09-07T08:43:16.8582916Z 2025-09-07T08:43:16.8582919Z 2025-09-07T08:43:16.9128928Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bart/modeling_bart.py", line 101, in forward 2025-09-07T08:43:16.9129996Z return super().forward(position_ids + self.offset) 2025-09-07T08:43:16.9130233Z 2025-09-07T08:43:16.9130238Z 2025-09-07T08:43:17.5493011Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bart/modeling_bart.py", line 101, in forward 2025-09-07T08:43:17.5494126Z return super().forward(position_ids + self.offset) 2025-09-07T08:43:17.5494367Z 2025-09-07T08:43:17.5494371Z 2025-09-07T08:43:21.2326453Z pass 2025-09-07T08:43:24.7132871Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:43:24.7134102Z import pynvml # type: ignore[import] 2025-09-07T08:43:27.7601401Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:43:27.7604393Z from pkg_resources import resource_filename 2025-09-07T08:43:28.3529581Z 2025-09-07T08:43:30.4970087Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:43:30.4970456Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:43:30.4970769Z cuda train BertForMaskedLM 2025-09-07T08:43:36.2534105Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:43:36.2535989Z pred = mod(**cloned_inputs) 2025-09-07T08:43:36.2536624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward 2025-09-07T08:43:36.2537179Z outputs = self.bert( 2025-09-07T08:43:36.2538017Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 964, in forward 2025-09-07T08:43:36.2538566Z embedding_output = self.embeddings( 2025-09-07T08:43:36.2539083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 186, in forward 2025-09-07T08:43:36.2539657Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T08:43:36.2539904Z 2025-09-07T08:43:36.2539907Z 2025-09-07T08:43:36.9069378Z W0907 08:43:36.906000 8795 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:43:42.7621215Z Run failed with return code: -11 2025-09-07T08:43:42.7621566Z Output: None 2025-09-07T08:43:42.7621762Z Error: None 2025-09-07T08:43:43.7935404Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:43:43.7937790Z import pynvml # type: ignore[import] 2025-09-07T08:43:46.9118471Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:43:46.9119877Z from pkg_resources import resource_filename 2025-09-07T08:43:47.5267172Z 2025-09-07T08:43:49.3473930Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:43:49.3474311Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:43:49.3474629Z cuda train BertForQuestionAnswering 2025-09-07T08:43:55.1904422Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:43:55.1905549Z pred = mod(**cloned_inputs) 2025-09-07T08:43:55.1906137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 1767, in forward 2025-09-07T08:43:55.1906734Z outputs = self.bert( 2025-09-07T08:43:55.1907772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 964, in forward 2025-09-07T08:43:55.1908408Z embedding_output = self.embeddings( 2025-09-07T08:43:55.1908989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 186, in forward 2025-09-07T08:43:55.1909658Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T08:43:55.1909924Z 2025-09-07T08:43:55.1909927Z 2025-09-07T08:43:55.8404993Z W0907 08:43:55.839000 8952 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:44:01.6629139Z Run failed with return code: -11 2025-09-07T08:44:01.6630185Z Output: None 2025-09-07T08:44:01.6630437Z Error: None 2025-09-07T08:44:02.7226867Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:44:02.7229144Z import pynvml # type: ignore[import] 2025-09-07T08:44:05.7702892Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:44:05.7705003Z from pkg_resources import resource_filename 2025-09-07T08:44:06.3533427Z 2025-09-07T08:44:30.4299619Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:44:30.4300037Z loading model: 0it [00:24, ?it/s] 2025-09-07T08:44:30.4300359Z cuda train BlenderbotForCausalLM 2025-09-07T08:44:30.6450475Z pass_due_to_skip 2025-09-07T08:44:31.9546039Z accuracy pass_rate=83.33% 2025-09-07T08:44:31.9552894Z calls_captured gmean=0.00x mean=641.333x 2025-09-07T08:44:31.9556195Z unique_graphs gmean=0.00x mean=4.500x 2025-09-07T08:44:31.9559748Z graph_breaks gmean=0.00x mean=5.333x 2025-09-07T08:44:31.9562976Z unique_graph_breaks gmean=0.00x mean=3.833x 2025-09-07T08:44:31.9566096Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:44:31.9569587Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:44:31.9572594Z cudagraph_skips gmean=0.00x mean=1.500x 2025-09-07T08:44:31.9573762Z compilation_latency mean=4.812 seconds 2025-09-07T08:44:33.0426096Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *cppwrapper-true* ]] 2025-09-07T08:44:33.0427745Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T08:44:33.0429053Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_accuracy.csv 2025-09-07T08:44:33.9812621Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:44:33.9814519Z import pynvml # type: ignore[import] 2025-09-07T08:44:37.1908957Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:44:37.1910330Z from pkg_resources import resource_filename 2025-09-07T08:44:39.5178847Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:44:39.5180847Z import pynvml # type: ignore[import] 2025-09-07T08:44:42.5988091Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:44:42.5989875Z from pkg_resources import resource_filename 2025-09-07T08:44:43.5693967Z 2025-09-07T08:44:46.1028354Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:44:46.1028776Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:44:46.1029094Z cuda train AlbertForMaskedLM 2025-09-07T08:45:37.3231177Z pass 2025-09-07T08:45:41.4673418Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:45:41.4675341Z import pynvml # type: ignore[import] 2025-09-07T08:45:44.5182473Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:45:44.5184631Z from pkg_resources import resource_filename 2025-09-07T08:45:45.1296575Z 2025-09-07T08:45:47.5875747Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:45:47.5876084Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:45:47.5876396Z cuda train AlbertForQuestionAnswering 2025-09-07T08:46:26.0940037Z W0907 08:46:26.093000 10527 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:46:33.6187921Z pass 2025-09-07T08:46:38.3091905Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:46:38.3093939Z import pynvml # type: ignore[import] 2025-09-07T08:46:41.5182561Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:46:41.5184815Z from pkg_resources import resource_filename 2025-09-07T08:46:42.1287025Z 2025-09-07T08:46:45.0012959Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:46:45.0013345Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:46:45.0013639Z cuda train AllenaiLongformerBase 2025-09-07T08:46:46.1245146Z W0907 08:46:46.123000 11243 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T08:46:46.1246213Z W0907 08:46:46.123000 11243 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T08:46:46.1247007Z W0907 08:46:46.123000 11243 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: 2025-09-07T08:46:46.1248321Z W0907 08:46:46.123000 11243 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T08:46:46.1249213Z W0907 08:46:46.123000 11243 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. 2025-09-07T08:46:46.1249937Z W0907 08:46:46.123000 11243 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:46:46.1250633Z W0907 08:46:46.123000 11243 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: 2025-09-07T08:46:46.1251816Z W0907 08:46:46.123000 11243 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:46:46.1253011Z W0907 08:46:46.123000 11243 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] pred = mod(**cloned_inputs) 2025-09-07T08:46:46.1254956Z W0907 08:46:46.123000 11243 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1703, in forward 2025-09-07T08:46:46.1256224Z W0907 08:46:46.123000 11243 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] outputs = self.longformer( 2025-09-07T08:46:46.1257210Z W0907 08:46:46.123000 11243 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1600, in forward 2025-09-07T08:46:46.1258577Z W0907 08:46:46.123000 11243 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] encoder_outputs = self.encoder( 2025-09-07T08:46:46.1259574Z W0907 08:46:46.123000 11243 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1244, in forward 2025-09-07T08:46:46.1260594Z W0907 08:46:46.123000 11243 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] is_global_attn = is_index_global_attn.flatten().any().item() 2025-09-07T08:46:46.1261221Z W0907 08:46:46.123000 11243 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:46:46.1261674Z W0907 08:46:46.123000 11243 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:48:20.6893068Z W0907 08:48:20.688000 11243 site-packages/torch/_logging/_internal.py:1199] [18/0] Profiler function will be ignored 2025-09-07T08:49:04.0888196Z pass 2025-09-07T08:49:11.2013975Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:49:11.2015389Z import pynvml # type: ignore[import] 2025-09-07T08:49:14.4176479Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:49:14.4178262Z from pkg_resources import resource_filename 2025-09-07T08:49:15.0381339Z 2025-09-07T08:49:18.5166198Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:49:18.5166773Z loading model: 0it [00:03, ?it/s] 2025-09-07T08:49:18.5168000Z cuda train BartForCausalLM 2025-09-07T08:49:40.0688553Z pass 2025-09-07T08:49:43.5111363Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:49:43.5113440Z import pynvml # type: ignore[import] 2025-09-07T08:49:46.5746395Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:49:46.5748146Z from pkg_resources import resource_filename 2025-09-07T08:49:47.1767044Z 2025-09-07T08:49:52.9865094Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:49:52.9865443Z loading model: 0it [00:05, ?it/s] 2025-09-07T08:49:52.9865743Z cuda train BartForConditionalGeneration 2025-09-07T08:50:17.0813654Z pass 2025-09-07T08:50:20.9479782Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:50:20.9481177Z import pynvml # type: ignore[import] 2025-09-07T08:50:24.0382449Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:50:24.0384597Z from pkg_resources import resource_filename 2025-09-07T08:50:24.7408310Z 2025-09-07T08:50:26.7765913Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:50:26.7766264Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:50:26.7766563Z cuda train BertForMaskedLM 2025-09-07T08:51:18.4553377Z W0907 08:51:18.454000 13647 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:52:02.5186477Z pass 2025-09-07T08:52:08.4712990Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:52:08.4714222Z import pynvml # type: ignore[import] 2025-09-07T08:52:11.5498395Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:52:11.5500128Z from pkg_resources import resource_filename 2025-09-07T08:52:12.1613467Z 2025-09-07T08:52:13.9098140Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:52:13.9098498Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:52:13.9098836Z cuda train BertForQuestionAnswering 2025-09-07T08:53:00.8639734Z W0907 08:53:00.862000 14683 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:53:41.1054514Z E0907 08:53:41.104000 14683 site-packages/torch/_dynamo/utils.py:3115] RMSE (res-fp64): 0.62293, (ref-fp64): 0.06434 and shape=torch.Size([]). res.dtype: torch.float32, multiplier: 3.000000, tol: 0.010000, use_larger_multiplier_for_smaller_tensor: 0 2025-09-07T08:53:41.3545578Z fail_accuracy 2025-09-07T08:53:47.1671974Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:53:47.1673224Z import pynvml # type: ignore[import] 2025-09-07T08:53:50.3301305Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:53:50.3302671Z from pkg_resources import resource_filename 2025-09-07T08:53:51.1496057Z 2025-09-07T08:54:15.3725174Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:54:15.3725589Z loading model: 0it [00:24, ?it/s] 2025-09-07T08:54:15.3725900Z cuda train BlenderbotForCausalLM 2025-09-07T08:54:15.4272097Z pass_due_to_skip 2025-09-07T08:54:16.8105650Z accuracy pass_rate=75.00% 2025-09-07T08:54:16.8110874Z calls_captured gmean=0.00x mean=810.000x 2025-09-07T08:54:16.8114216Z unique_graphs gmean=0.00x mean=3.875x 2025-09-07T08:54:16.8117838Z graph_breaks gmean=0.00x mean=5.250x 2025-09-07T08:54:16.8120935Z unique_graph_breaks gmean=0.00x mean=3.875x 2025-09-07T08:54:16.8124530Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:54:16.8127202Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:54:16.8130510Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T08:54:16.8131296Z compilation_latency mean=56.946 seconds 2025-09-07T08:54:17.9310778Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freezing_cudagraphs-true* ]] 2025-09-07T08:54:17.9312681Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T08:54:17.9313939Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freeze_autotune_cudagraphs-true* ]] 2025-09-07T08:54:17.9315188Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T08:54:17.9316376Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *aotinductor-true* ]] 2025-09-07T08:54:17.9317955Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T08:54:17.9319072Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *maxautotune-true* ]] 2025-09-07T08:54:17.9320176Z + TORCHINDUCTOR_MAX_AUTOTUNE=1 2025-09-07T08:54:17.9321320Z + python benchmarks/dynamo/huggingface.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 5 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_accuracy.csv 2025-09-07T08:54:18.8966119Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:54:18.8967858Z import pynvml # type: ignore[import] 2025-09-07T08:54:22.0362476Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:54:22.0363886Z from pkg_resources import resource_filename 2025-09-07T08:54:24.2739550Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:54:24.2740903Z import pynvml # type: ignore[import] 2025-09-07T08:54:27.3463671Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:54:27.3465110Z from pkg_resources import resource_filename 2025-09-07T08:54:27.9377161Z 2025-09-07T08:54:30.3875880Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:54:30.3876238Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:54:30.3876544Z cuda train AlbertForMaskedLM 2025-09-07T08:54:48.1213715Z Autotune Choices Stats: 2025-09-07T08:54:48.1215651Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.09971199929714203, "best_triton_pos": 1, "best_triton_time": 0.10761599987745285, "best_triton_kernel": "triton_mm_112", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:54:48.1220763Z AUTOTUNE addmm(512x16384, 512x4096, 4096x16384) 2025-09-07T08:54:48.1221064Z strides: [0, 1], [4096, 1], [1, 4096] 2025-09-07T08:54:48.1221361Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:54:48.1221667Z bias_addmm 0.0997 ms 100.0% 2025-09-07T08:54:48.1222553Z triton_mm_112 0.1076 ms 92.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:54:48.1223176Z addmm 0.1152 ms 86.6% 2025-09-07T08:54:48.1223759Z triton_mm_113 0.1169 ms 85.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:54:48.1224769Z triton_mm_107 0.1454 ms 68.6% 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 2025-09-07T08:54:48.1225777Z triton_mm_111 0.1479 ms 67.4% 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 2025-09-07T08:54:48.1226773Z triton_mm_106 0.1553 ms 64.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:54:48.1227813Z triton_mm_104 0.1847 ms 54.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:54:48.1228685Z triton_mm_105 0.1937 ms 51.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:54:48.1229541Z triton_mm_108 0.1994 ms 50.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:54:48.1230286Z SingleProcess AUTOTUNE benchmarking takes 0.6230 seconds and 0.0004 seconds precompiling for 21 choices 2025-09-07T08:54:50.8219915Z Autotune Choices Stats: 2025-09-07T08:54:50.8220982Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_8", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.009279999881982803, "best_triton_pos": 0} 2025-09-07T08:54:50.8225961Z AUTOTUNE addmm(512x4096, 512x128, 128x4096) 2025-09-07T08:54:50.8226267Z strides: [0, 1], [128, 1], [1, 128] 2025-09-07T08:54:50.8226574Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:54:50.8227554Z triton_mm_8 0.0093 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:54:50.8228607Z triton_mm_13 0.0093 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:54:50.8229583Z triton_mm_11 0.0093 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 2025-09-07T08:54:50.8230564Z triton_mm_12 0.0094 ms 99.0% 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 2025-09-07T08:54:50.8231535Z triton_mm_17 0.0094 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:54:50.8233025Z triton_mm_14 0.0095 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:54:50.8234045Z triton_mm_16 0.0095 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:54:50.8235039Z triton_mm_9 0.0096 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:54:50.8235863Z bias_addmm 0.0096 ms 96.3% 2025-09-07T08:54:50.8236460Z triton_mm_10 0.0096 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:54:50.8237495Z SingleProcess AUTOTUNE benchmarking takes 0.2658 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T08:54:51.1979071Z Autotune Choices Stats: 2025-09-07T08:54:51.1980361Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.034143999218940735, "best_triton_pos": 1, "best_triton_time": 0.0350399985909462, "best_triton_kernel": "triton_mm_37", "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"} 2025-09-07T08:54:51.1985003Z AUTOTUNE addmm(512x4096, 512x4096, 4096x4096) 2025-09-07T08:54:51.1985324Z strides: [0, 1], [4096, 1], [1, 4096] 2025-09-07T08:54:51.1985631Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:54:51.1985985Z bias_addmm 0.0341 ms 100.0% 2025-09-07T08:54:51.1986618Z triton_mm_37 0.0350 ms 97.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:54:51.1987730Z addmm 0.0409 ms 83.4% 2025-09-07T08:54:51.1988400Z triton_mm_31 0.0420 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:54:51.1989376Z triton_mm_30 0.0446 ms 76.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:54:51.1990355Z triton_mm_36 0.0459 ms 74.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:54:51.1991332Z triton_mm_26 0.0500 ms 68.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:54:51.1992300Z triton_mm_29 0.0554 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 2025-09-07T08:54:51.1993274Z triton_mm_27 0.0555 ms 61.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:54:51.1994244Z triton_mm_33 0.0556 ms 61.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:54:51.1995097Z SingleProcess AUTOTUNE benchmarking takes 0.3754 seconds and 0.0003 seconds precompiling for 21 choices 2025-09-07T08:54:51.5463427Z Autotune Choices Stats: 2025-09-07T08:54:51.5464664Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.03376000002026558, "best_triton_pos": 1, "best_triton_time": 0.034591998904943466, "best_triton_kernel": "triton_mm_94", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T08:54:51.5469815Z AUTOTUNE mm(512x4096, 4096x4096) 2025-09-07T08:54:51.5470356Z strides: [4096, 1], [1, 4096] 2025-09-07T08:54:51.5470626Z dtypes: torch.float16, torch.float16 2025-09-07T08:54:51.5470886Z mm 0.0338 ms 100.0% 2025-09-07T08:54:51.5471469Z triton_mm_94 0.0346 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:54:51.5472462Z triton_mm_88 0.0405 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:54:51.5473620Z triton_mm_87 0.0438 ms 77.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:54:51.5474595Z triton_mm_93 0.0451 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 2025-09-07T08:54:51.5475571Z triton_mm_83 0.0492 ms 68.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:54:51.5476552Z triton_mm_84 0.0533 ms 63.4% 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 2025-09-07T08:54:51.5477853Z triton_mm_86 0.0540 ms 62.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:54:51.5478829Z triton_mm_90 0.0542 ms 62.2% 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 2025-09-07T08:54:51.5479614Z triton_mm_85 0.0674 ms 50.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:54:51.5480322Z SingleProcess AUTOTUNE benchmarking takes 0.3466 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:54:52.1311700Z Autotune Choices Stats: 2025-09-07T08:54:52.1312928Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.09724800288677216, "best_triton_pos": 1, "best_triton_time": 0.1061440035700798, "best_triton_kernel": "triton_mm_132", "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"} 2025-09-07T08:54:52.1318876Z AUTOTUNE mm(512x16384, 16384x4096) 2025-09-07T08:54:52.1319124Z strides: [16384, 1], [1, 16384] 2025-09-07T08:54:52.1319361Z dtypes: torch.float16, torch.float16 2025-09-07T08:54:52.1319605Z mm 0.0972 ms 100.0% 2025-09-07T08:54:52.1320165Z triton_mm_132 0.1061 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=5, num_warps=8 2025-09-07T08:54:52.1321099Z triton_mm_126 0.1221 ms 79.7% 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 2025-09-07T08:54:52.1322009Z triton_mm_125 0.1347 ms 72.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:54:52.1322924Z triton_mm_131 0.1387 ms 70.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:54:52.1323831Z triton_mm_124 0.1711 ms 56.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:54:52.1324949Z triton_mm_122 0.1730 ms 56.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:54:52.1325891Z triton_mm_128 0.1851 ms 52.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:54:52.1326794Z triton_mm_121 0.2005 ms 48.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:54:52.1328215Z triton_mm_123 0.2181 ms 44.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:54:52.1328943Z SingleProcess AUTOTUNE benchmarking takes 0.5839 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:54:52.4925618Z Autotune Choices Stats: 2025-09-07T08:54:52.4926974Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.014879999682307243, "best_triton_pos": 1, "best_triton_time": 0.015744000673294067, "best_triton_kernel": "triton_mm_1391", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T08:54:52.4934579Z AUTOTUNE addmm(512x128, 512x4096, 4096x128) 2025-09-07T08:54:52.4935186Z strides: [0, 1], [4096, 1], [1, 4096] 2025-09-07T08:54:52.4935708Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:54:52.4936202Z bias_addmm 0.0149 ms 100.0% 2025-09-07T08:54:52.4937195Z triton_mm_1391 0.0157 ms 94.5% 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 2025-09-07T08:54:52.4939071Z triton_mm_1395 0.0164 ms 90.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:54:52.4939658Z addmm 0.0173 ms 86.0% 2025-09-07T08:54:52.4940210Z triton_mm_1399 0.0185 ms 80.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:54:52.4941137Z triton_mm_1405 0.0274 ms 54.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:54:52.4942056Z triton_mm_1390 0.0292 ms 51.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:54:52.4942965Z triton_mm_1389 0.0295 ms 50.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:54:52.4943874Z triton_mm_1394 0.0309 ms 48.2% 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 2025-09-07T08:54:52.4944779Z triton_mm_1388 0.0317 ms 46.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:54:52.4945583Z SingleProcess AUTOTUNE benchmarking takes 0.3217 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T08:54:52.7706832Z Autotune Choices Stats: 2025-09-07T08:54:52.7709370Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.024512000381946564, "best_triton_pos": 1, "best_triton_time": 0.029823999851942062, "best_triton_kernel": "triton_mm_1415", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:54:52.7714530Z AUTOTUNE addmm(512x30000, 512x128, 128x30000) 2025-09-07T08:54:52.7714815Z strides: [0, 1], [128, 1], [1, 128] 2025-09-07T08:54:52.7715407Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:54:52.7715732Z bias_addmm 0.0245 ms 100.0% 2025-09-07T08:54:52.7716353Z triton_mm_1415 0.0298 ms 82.2% 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 2025-09-07T08:54:52.7717518Z triton_mm_1419 0.0300 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:54:52.7718751Z triton_mm_1416 0.0303 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:54:52.7719715Z triton_mm_1423 0.0303 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=3, num_warps=4 2025-09-07T08:54:52.7720638Z triton_mm_1422 0.0307 ms 79.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:54:52.7721556Z triton_mm_1418 0.0309 ms 79.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:54:52.7722457Z triton_mm_1417 0.0310 ms 79.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:54:52.7723369Z triton_mm_1420 0.0311 ms 78.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:54:52.7724272Z triton_mm_1414 0.0314 ms 78.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:54:52.7725062Z SingleProcess AUTOTUNE benchmarking takes 0.2769 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T08:55:05.3793459Z Autotune Choices Stats: 2025-09-07T08:55:05.3794790Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.11472000181674957, "best_triton_pos": 1, "best_triton_time": 0.1356479972600937, "best_triton_kernel": "triton_mm_3399", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:55:05.3802165Z AUTOTUNE mm(16384x512, 512x4096) 2025-09-07T08:55:05.3802477Z strides: [1, 16384], [4096, 1] 2025-09-07T08:55:05.3802708Z dtypes: torch.float16, torch.float16 2025-09-07T08:55:05.3802947Z mm 0.1147 ms 100.0% 2025-09-07T08:55:05.3803497Z triton_mm_3399 0.1356 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:55:05.3804458Z triton_mm_3398 0.1382 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 2025-09-07T08:55:05.3805390Z triton_mm_3400 0.1633 ms 70.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:55:05.3806314Z triton_mm_3397 0.1636 ms 70.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T08:55:05.3807226Z triton_mm_3395 0.1671 ms 68.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:55:05.3808871Z triton_mm_3391 0.1760 ms 65.2% 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 2025-09-07T08:55:05.3809811Z triton_mm_3393 0.1781 ms 64.4% 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 2025-09-07T08:55:05.3810737Z triton_mm_3392 0.1818 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=4, num_warps=8 2025-09-07T08:55:05.3811850Z triton_mm_3396 0.1827 ms 62.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:55:05.3812658Z SingleProcess AUTOTUNE benchmarking takes 0.5869 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T08:55:09.2395266Z Autotune Choices Stats: 2025-09-07T08:55:09.2396520Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.11584000289440155, "best_triton_pos": 1, "best_triton_time": 0.14640000462532043, "best_triton_kernel": "triton_mm_3361", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:55:09.2515531Z AUTOTUNE mm(4096x512, 512x16384) 2025-09-07T08:55:09.2516119Z strides: [1, 4096], [16384, 1] 2025-09-07T08:55:09.2516538Z dtypes: torch.float16, torch.float16 2025-09-07T08:55:09.2517020Z mm 0.1158 ms 100.0% 2025-09-07T08:55:09.2518226Z triton_mm_3361 0.1464 ms 79.1% 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 2025-09-07T08:55:09.2519863Z triton_mm_3360 0.1637 ms 70.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:55:09.2521442Z triton_mm_3357 0.1650 ms 70.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:55:09.2523017Z triton_mm_3353 0.1704 ms 68.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:55:09.2524489Z triton_mm_3362 0.1731 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 2025-09-07T08:55:09.2525418Z triton_mm_3355 0.1792 ms 64.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:55:09.2526327Z triton_mm_3358 0.1820 ms 63.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:55:09.2527237Z triton_mm_3354 0.1866 ms 62.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:55:09.2528567Z triton_mm_3359 0.2244 ms 51.6% 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 2025-09-07T08:55:09.2529377Z SingleProcess AUTOTUNE benchmarking takes 0.6087 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:55:50.7190605Z Autotune Choices Stats: 2025-09-07T08:55:50.7191905Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.03590400144457817, "best_triton_pos": 1, "best_triton_time": 0.03984000161290169, "best_triton_kernel": "triton_mm_3436", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:55:50.7198903Z AUTOTUNE mm(4096x512, 512x4096) 2025-09-07T08:55:50.7199890Z strides: [1, 4096], [4096, 1] 2025-09-07T08:55:50.7200152Z dtypes: torch.float16, torch.float16 2025-09-07T08:55:50.7200392Z mm 0.0359 ms 100.0% 2025-09-07T08:55:50.7200948Z triton_mm_3436 0.0398 ms 90.1% 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 2025-09-07T08:55:50.7201885Z triton_mm_3437 0.0406 ms 88.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:55:50.7203082Z triton_mm_3433 0.0462 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:55:50.7204003Z triton_mm_3429 0.0467 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:55:50.7204939Z triton_mm_3438 0.0474 ms 75.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:55:50.7205857Z triton_mm_3435 0.0481 ms 74.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T08:55:50.7206787Z triton_mm_3434 0.0484 ms 74.2% 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 2025-09-07T08:55:50.7208028Z triton_mm_3430 0.0496 ms 72.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:55:50.7208978Z triton_mm_3431 0.0503 ms 71.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:55:50.7209782Z SingleProcess AUTOTUNE benchmarking takes 0.3376 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:56:29.5171402Z Autotune Choices Stats: 2025-09-07T08:56:29.5172769Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.0960640013217926, "best_triton_pos": 1, "best_triton_time": 0.10662399977445602, "best_triton_kernel": "triton_mm_1518", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:56:29.6028478Z AUTOTUNE mm(512x4096, 4096x16384) 2025-09-07T08:56:29.6028774Z strides: [4096, 1], [16384, 1] 2025-09-07T08:56:29.6029048Z dtypes: torch.float16, torch.float16 2025-09-07T08:56:29.6029300Z mm 0.0961 ms 100.0% 2025-09-07T08:56:29.6029927Z triton_mm_1518 0.1066 ms 90.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:29.6030931Z triton_mm_1519 0.1179 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:56:29.6031918Z triton_mm_1517 0.1359 ms 70.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:29.6032909Z triton_mm_1513 0.1427 ms 67.3% 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 2025-09-07T08:56:29.6033887Z triton_mm_1512 0.1540 ms 62.4% 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 2025-09-07T08:56:29.6035251Z triton_mm_1510 0.1641 ms 58.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:29.6036264Z triton_mm_1511 0.1732 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 2025-09-07T08:56:29.6037594Z triton_mm_1515 0.1988 ms 48.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:29.6038789Z triton_mm_1514 0.1997 ms 48.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:29.6039593Z SingleProcess AUTOTUNE benchmarking takes 0.6538 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:56:30.6699733Z Autotune Choices Stats: 2025-09-07T08:56:30.6700836Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_1461", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.021376000717282295, "best_triton_pos": 0} 2025-09-07T08:56:30.7475198Z AUTOTUNE mm(30000x512, 512x128) 2025-09-07T08:56:30.7475702Z strides: [1, 30016], [128, 1] 2025-09-07T08:56:30.7476151Z dtypes: torch.float16, torch.float16 2025-09-07T08:56:30.7477611Z triton_mm_1461 0.0214 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:30.7479409Z triton_mm_1454 0.0220 ms 97.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:30.7479989Z mm 0.0222 ms 96.1% 2025-09-07T08:56:30.7480569Z triton_mm_1460 0.0227 ms 94.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:30.7481502Z triton_mm_1458 0.0228 ms 94.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:30.7482420Z triton_mm_1453 0.0228 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:30.7483346Z triton_mm_1455 0.0236 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:30.7484258Z triton_mm_1457 0.0239 ms 89.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:30.7485169Z triton_mm_1462 0.0241 ms 88.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:56:30.7486094Z triton_mm_1451 0.0262 ms 81.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:56:30.7486890Z SingleProcess AUTOTUNE benchmarking takes 0.3002 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:56:31.2770873Z Autotune Choices Stats: 2025-09-07T08:56:31.2772219Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.03145600110292435, "best_triton_pos": 1, "best_triton_time": 0.033504001796245575, "best_triton_kernel": "triton_mm_4217", "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"} 2025-09-07T08:56:31.2781454Z AUTOTUNE mm(512x4096, 4096x4096) 2025-09-07T08:56:31.2782051Z strides: [4096, 1], [4096, 1] 2025-09-07T08:56:31.2782330Z dtypes: torch.float16, torch.float16 2025-09-07T08:56:31.2782587Z mm 0.0315 ms 100.0% 2025-09-07T08:56:31.2783189Z triton_mm_4217 0.0335 ms 93.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:56:31.2784199Z triton_mm_4211 0.0400 ms 78.7% 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 2025-09-07T08:56:31.2785364Z triton_mm_4210 0.0419 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:31.2786358Z triton_mm_4216 0.0435 ms 72.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:31.2787733Z triton_mm_4209 0.0483 ms 65.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:31.2788728Z triton_mm_4206 0.0486 ms 64.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:56:31.2789709Z triton_mm_4213 0.0488 ms 64.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:31.2790691Z triton_mm_4207 0.0531 ms 59.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:56:31.2791671Z triton_mm_4208 0.0605 ms 52.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:31.2792541Z SingleProcess AUTOTUNE benchmarking takes 0.3345 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:56:32.1443897Z Autotune Choices Stats: 2025-09-07T08:56:32.1444994Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_1490", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.009119999594986439, "best_triton_pos": 0} 2025-09-07T08:56:32.1454134Z AUTOTUNE mm(128x512, 512x4096) 2025-09-07T08:56:32.1454370Z strides: [1, 128], [4096, 1] 2025-09-07T08:56:32.1454622Z dtypes: torch.float16, torch.float16 2025-09-07T08:56:32.1455311Z triton_mm_1490 0.0091 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:56:32.1463803Z mm 0.0094 ms 97.3% 2025-09-07T08:56:32.1464478Z triton_mm_1494 0.0097 ms 94.1% 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 2025-09-07T08:56:32.1465503Z triton_mm_1489 0.0100 ms 90.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:56:32.1466498Z triton_mm_1493 0.0103 ms 88.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:32.1467648Z triton_mm_1500 0.0104 ms 87.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:56:32.1468640Z triton_mm_1485 0.0106 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:56:32.1469926Z triton_mm_1496 0.0107 ms 85.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:32.1470853Z triton_mm_1499 0.0107 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=3, num_warps=4 2025-09-07T08:56:32.1471824Z triton_mm_1492 0.0108 ms 84.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:32.1472519Z SingleProcess AUTOTUNE benchmarking takes 0.1896 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:56:32.5162167Z Autotune Choices Stats: 2025-09-07T08:56:32.5163281Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_4264", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.009279999881982803, "best_triton_pos": 0} 2025-09-07T08:56:32.5171634Z AUTOTUNE mm(4096x512, 512x128) 2025-09-07T08:56:32.5171887Z strides: [1, 4096], [128, 1] 2025-09-07T08:56:32.5172130Z dtypes: torch.float16, torch.float16 2025-09-07T08:56:32.5172786Z triton_mm_4264 0.0093 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:56:32.5173455Z mm 0.0095 ms 98.0% 2025-09-07T08:56:32.5174036Z triton_mm_4268 0.0100 ms 92.7% 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 2025-09-07T08:56:32.5175150Z triton_mm_4263 0.0104 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:56:32.5176138Z triton_mm_4267 0.0104 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:32.5177123Z triton_mm_4259 0.0105 ms 88.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:56:32.5178445Z triton_mm_4274 0.0105 ms 88.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:56:32.5179435Z triton_mm_4266 0.0107 ms 86.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:32.5180426Z triton_mm_4270 0.0108 ms 86.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:32.5181413Z triton_mm_4273 0.0108 ms 85.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:32.5182276Z SingleProcess AUTOTUNE benchmarking takes 0.1881 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:56:37.8991219Z Autotune Choices Stats: 2025-09-07T08:56:37.8992747Z {"num_choices": 30, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.029055999591946602, "best_triton_pos": 5, "best_triton_time": 0.06815999746322632, "best_triton_kernel": "triton_mm_1429", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T08:56:37.9012587Z AUTOTUNE mm(512x30000, 30000x128) 2025-09-07T08:56:37.9012868Z strides: [30016, 1], [128, 1] 2025-09-07T08:56:37.9013130Z dtypes: torch.float16, torch.float16 2025-09-07T08:56:37.9013843Z mm 0.0291 ms 100.0% 2025-09-07T08:56:37.9014122Z decompose_k_mm_5_split_3 0.0294 ms 98.7% k_split=5 2025-09-07T08:56:37.9014465Z decompose_k_mm_6_split_4 0.0298 ms 97.6% k_split=6 2025-09-07T08:56:37.9014800Z decompose_k_mm_3_split_1 0.0325 ms 89.4% k_split=3 2025-09-07T08:56:37.9015253Z decompose_k_mm_2_split_0 0.0366 ms 79.4% k_split=2 2025-09-07T08:56:37.9015949Z triton_mm_1429 0.0682 ms 42.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:56:37.9016887Z decompose_k_mm_15_split_8 0.0682 ms 42.6% k_split=15 2025-09-07T08:56:37.9017233Z decompose_k_mm_10_split_6 0.0685 ms 42.4% k_split=10 2025-09-07T08:56:37.9017909Z decompose_k_mm_4_split_2 0.0829 ms 35.0% k_split=4 2025-09-07T08:56:37.9018236Z decompose_k_mm_8_split_5 0.0884 ms 32.9% k_split=8 2025-09-07T08:56:37.9018768Z SingleProcess AUTOTUNE benchmarking takes 1.9707 seconds and 0.0002 seconds precompiling for 30 choices 2025-09-07T08:56:38.0845504Z Autotune Choices Stats: 2025-09-07T08:56:38.0846486Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_1474", "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": 0.00825599953532219, "best_triton_pos": 0} 2025-09-07T08:56:38.0856462Z AUTOTUNE mm(512x128, 128x4096) 2025-09-07T08:56:38.0856680Z strides: [128, 1], [4096, 1] 2025-09-07T08:56:38.0856900Z dtypes: torch.float16, torch.float16 2025-09-07T08:56:38.0857604Z triton_mm_1474 0.0083 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:38.0858508Z triton_mm_1475 0.0084 ms 97.7% 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 2025-09-07T08:56:38.0859362Z triton_mm_1481 0.0085 ms 97.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:56:38.0860218Z triton_mm_1479 0.0085 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:38.0861147Z triton_mm_1473 0.0085 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:38.0862142Z triton_mm_1472 0.0086 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:38.0863129Z triton_mm_1480 0.0086 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:38.0864113Z triton_mm_1476 0.0086 ms 95.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:38.0865090Z triton_mm_1477 0.0086 ms 95.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:38.0866071Z triton_mm_1471 0.0088 ms 94.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:56:38.0866926Z SingleProcess AUTOTUNE benchmarking takes 0.1835 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:56:38.6535849Z Autotune Choices Stats: 2025-09-07T08:56:38.6537614Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.09424000233411789, "best_triton_pos": 1, "best_triton_time": 0.10684800148010254, "best_triton_kernel": "triton_mm_1557", "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"} 2025-09-07T08:56:38.6547827Z AUTOTUNE mm(512x16384, 16384x4096) 2025-09-07T08:56:38.6548097Z strides: [16384, 1], [4096, 1] 2025-09-07T08:56:38.6548351Z dtypes: torch.float16, torch.float16 2025-09-07T08:56:38.6548819Z mm 0.0942 ms 100.0% 2025-09-07T08:56:38.6549423Z triton_mm_1557 0.1068 ms 88.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:56:38.6550422Z triton_mm_1551 0.1246 ms 75.6% 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 2025-09-07T08:56:38.6551431Z triton_mm_1550 0.1303 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 2025-09-07T08:56:38.6552421Z triton_mm_1556 0.1343 ms 70.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:38.6553351Z triton_mm_1549 0.1545 ms 61.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:38.6554266Z triton_mm_1553 0.1653 ms 57.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:56:38.6555172Z triton_mm_1547 0.1758 ms 53.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:56:38.6556077Z triton_mm_1546 0.1933 ms 48.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:56:38.6556989Z triton_mm_1548 0.1966 ms 47.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:38.6557919Z SingleProcess AUTOTUNE benchmarking takes 0.5683 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:56:39.0118320Z Autotune Choices Stats: 2025-09-07T08:56:39.0119553Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.014368000440299511, "best_triton_pos": 1, "best_triton_time": 0.014399999752640724, "best_triton_kernel": "triton_mm_4241", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T08:56:39.0130534Z AUTOTUNE mm(512x4096, 4096x128) 2025-09-07T08:56:39.0130777Z strides: [4096, 1], [128, 1] 2025-09-07T08:56:39.0131008Z dtypes: torch.float16, torch.float16 2025-09-07T08:56:39.0131249Z mm 0.0144 ms 100.0% 2025-09-07T08:56:39.0131793Z triton_mm_4241 0.0144 ms 99.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:56:39.0132728Z triton_mm_4245 0.0150 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:56:39.0133650Z triton_mm_4249 0.0212 ms 67.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:56:39.0134562Z triton_mm_4240 0.0285 ms 50.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:56:39.0135790Z triton_mm_4255 0.0287 ms 50.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:56:39.0136703Z triton_mm_4239 0.0291 ms 49.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:56:39.0138034Z triton_mm_4248 0.0301 ms 47.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:56:39.0138935Z triton_mm_4244 0.0303 ms 47.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:56:39.0139841Z triton_mm_4238 0.0330 ms 43.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:56:39.0140643Z SingleProcess AUTOTUNE benchmarking takes 0.2612 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:56:42.6163278Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:56:42.6164416Z pred = mod(**cloned_inputs) 2025-09-07T08:56:42.6165054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward 2025-09-07T08:56:42.6165678Z outputs = self.albert( 2025-09-07T08:56:42.6166247Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/albert/modeling_albert.py", line 700, in forward 2025-09-07T08:56:42.6166854Z embedding_output = self.embeddings( 2025-09-07T08:56:42.6167875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/albert/modeling_albert.py", line 238, in forward 2025-09-07T08:56:42.6168572Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T08:56:42.6168861Z 2025-09-07T08:56:42.6168866Z 2025-09-07T08:56:44.6961548Z pass 2025-09-07T08:56:49.3923113Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:56:49.3925079Z import pynvml # type: ignore[import] 2025-09-07T08:56:52.4708286Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:56:52.4709659Z from pkg_resources import resource_filename 2025-09-07T08:56:53.0649301Z 2025-09-07T08:56:55.5308848Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:56:55.5309176Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:56:55.5309476Z cuda train AlbertForQuestionAnswering 2025-09-07T08:57:13.2858534Z Autotune Choices Stats: 2025-09-07T08:57:13.2859859Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "mm", "best_time": 0.013632000423967838, "best_triton_pos": 1, "best_triton_time": 0.013856000266969204, "best_triton_kernel": "triton_mm_1391", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T08:57:13.2870927Z AUTOTUNE mm(512x4096, 4096x2) 2025-09-07T08:57:13.2871172Z strides: [4096, 1], [1, 4096] 2025-09-07T08:57:13.2871414Z dtypes: torch.float16, torch.float16 2025-09-07T08:57:13.2871688Z mm 0.0136 ms 100.0% 2025-09-07T08:57:13.2872701Z triton_mm_1391 0.0139 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:57:13.2873664Z triton_mm_1397 0.0153 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:57:13.2874787Z triton_mm_1402 0.0204 ms 66.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:57:13.2875709Z triton_mm_1389 0.0266 ms 51.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:57:13.2876615Z triton_mm_1394 0.0280 ms 48.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:57:13.2877663Z triton_mm_1390 0.0282 ms 48.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:57:13.2878574Z triton_mm_1388 0.0295 ms 46.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T08:57:13.2879488Z triton_mm_1401 0.0304 ms 44.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:57:13.2880394Z triton_mm_1396 0.0341 ms 40.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:57:13.2881192Z SingleProcess AUTOTUNE benchmarking takes 0.2411 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T08:57:28.3133784Z Autotune Choices Stats: 2025-09-07T08:57:28.3135541Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1423", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.008991999551653862, "best_triton_pos": 0} 2025-09-07T08:57:28.3147848Z AUTOTUNE mm(2x512, 512x4096) 2025-09-07T08:57:28.3148151Z strides: [1, 2], [4096, 1] 2025-09-07T08:57:28.3148393Z dtypes: torch.float16, torch.float16 2025-09-07T08:57:28.3149045Z triton_mm_1423 0.0090 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:57:28.3150043Z triton_mm_1427 0.0092 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:57:28.3151048Z triton_mm_1431 0.0098 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:57:28.3152029Z triton_mm_1435 0.0098 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:57:28.3153005Z triton_mm_1421 0.0099 ms 90.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:57:28.3153976Z triton_mm_1422 0.0099 ms 90.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T08:57:28.3154942Z triton_mm_1426 0.0100 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:57:28.3156240Z triton_mm_1433 0.0105 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:57:28.3157223Z triton_mm_1430 0.0107 ms 84.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:57:28.3158575Z triton_mm_1429 0.0108 ms 83.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:57:28.3159428Z SingleProcess AUTOTUNE benchmarking takes 0.1734 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T08:57:31.7250956Z Autotune Choices Stats: 2025-09-07T08:57:31.7252692Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_1412", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8", "best_time": 0.007071999832987785, "best_triton_pos": 0} 2025-09-07T08:57:31.7262877Z AUTOTUNE mm(512x8, 8x4096) 2025-09-07T08:57:31.7263087Z strides: [8, 1], [4096, 1] 2025-09-07T08:57:31.7263297Z dtypes: torch.float16, torch.float16 2025-09-07T08:57:31.7263872Z triton_mm_1412 0.0071 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:57:31.7264805Z triton_mm_1413 0.0071 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:57:31.7265669Z triton_mm_1411 0.0071 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:57:31.7266525Z triton_mm_1409 0.0072 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:57:31.7267681Z triton_mm_1410 0.0072 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:57:31.7268677Z triton_mm_1416 0.0073 ms 97.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T08:57:31.7269695Z triton_mm_1414 0.0073 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:57:31.7270696Z triton_mm_1418 0.0073 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:57:31.7271700Z triton_mm_1417 0.0073 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:57:31.7272696Z triton_mm_1407 0.0074 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:57:31.7273549Z SingleProcess AUTOTUNE benchmarking takes 0.1544 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T08:57:34.4877799Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:57:34.4878827Z pred = mod(**cloned_inputs) 2025-09-07T08:57:34.4879394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/albert/modeling_albert.py", line 1197, in forward 2025-09-07T08:57:34.4880371Z outputs = self.albert( 2025-09-07T08:57:34.4880931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/albert/modeling_albert.py", line 700, in forward 2025-09-07T08:57:34.4881516Z embedding_output = self.embeddings( 2025-09-07T08:57:34.4882068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/albert/modeling_albert.py", line 238, in forward 2025-09-07T08:57:34.4882908Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T08:57:34.4883168Z 2025-09-07T08:57:34.4883171Z 2025-09-07T08:57:35.9436039Z W0907 08:57:35.942000 20918 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T08:57:39.9197855Z pass 2025-09-07T08:57:44.0679814Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:57:44.0681718Z import pynvml # type: ignore[import] 2025-09-07T08:57:47.1143594Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:57:47.1145108Z from pkg_resources import resource_filename 2025-09-07T08:57:47.7454967Z 2025-09-07T08:57:50.4506836Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:57:50.4507163Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:57:50.4507962Z cuda train AllenaiLongformerBase 2025-09-07T08:57:51.5839185Z W0907 08:57:51.583000 22005 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T08:57:51.5840496Z W0907 08:57:51.583000 22005 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T08:57:51.5841528Z W0907 08:57:51.583000 22005 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: 2025-09-07T08:57:51.5842513Z W0907 08:57:51.583000 22005 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T08:57:51.5843754Z W0907 08:57:51.583000 22005 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. 2025-09-07T08:57:51.5844679Z W0907 08:57:51.583000 22005 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:57:51.5845482Z W0907 08:57:51.583000 22005 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: 2025-09-07T08:57:51.5846910Z W0907 08:57:51.583000 22005 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T08:57:51.5848603Z W0907 08:57:51.583000 22005 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] pred = mod(**cloned_inputs) 2025-09-07T08:57:51.5850023Z W0907 08:57:51.583000 22005 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1703, in forward 2025-09-07T08:57:51.5851436Z W0907 08:57:51.583000 22005 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] outputs = self.longformer( 2025-09-07T08:57:51.5852848Z W0907 08:57:51.583000 22005 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1600, in forward 2025-09-07T08:57:51.5854722Z W0907 08:57:51.583000 22005 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] encoder_outputs = self.encoder( 2025-09-07T08:57:51.5855756Z W0907 08:57:51.583000 22005 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1244, in forward 2025-09-07T08:57:51.5856760Z W0907 08:57:51.583000 22005 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] is_global_attn = is_index_global_attn.flatten().any().item() 2025-09-07T08:57:51.5857725Z W0907 08:57:51.583000 22005 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:57:51.5858187Z W0907 08:57:51.583000 22005 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:58:27.6612012Z Autotune Choices Stats: 2025-09-07T08:58:27.6614207Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.01532800029963255, "best_triton_pos": 1, "best_triton_time": 0.016095999628305435, "best_triton_kernel": "triton_mm_124", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:58:27.6626156Z AUTOTUNE addmm(1024x3072, 1024x768, 768x3072) 2025-09-07T08:58:27.6626444Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T08:58:27.6626763Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:58:27.6627071Z bias_addmm 0.0153 ms 100.0% 2025-09-07T08:58:27.6628086Z triton_mm_124 0.0161 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:27.6629088Z triton_mm_130 0.0169 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=3, num_warps=4 2025-09-07T08:58:27.6630088Z triton_mm_122 0.0194 ms 78.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:27.6631068Z triton_mm_123 0.0199 ms 77.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:27.6632051Z triton_mm_126 0.0199 ms 77.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:27.6633044Z triton_mm_129 0.0200 ms 76.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:27.6634035Z triton_mm_131 0.0204 ms 75.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:58:27.6635020Z triton_mm_127 0.0208 ms 73.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:27.6636000Z triton_mm_125 0.0215 ms 71.4% 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 2025-09-07T08:58:27.6636793Z SingleProcess AUTOTUNE benchmarking takes 0.2881 seconds and 0.0003 seconds precompiling for 21 choices 2025-09-07T08:58:28.3439735Z Autotune Choices Stats: 2025-09-07T08:58:28.3441109Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.009855999611318111, "best_triton_pos": 1, "best_triton_time": 0.01065600011497736, "best_triton_kernel": "triton_mm_31", "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"} 2025-09-07T08:58:28.3452906Z AUTOTUNE mm(1024x768, 768x768) 2025-09-07T08:58:28.3453157Z strides: [768, 1], [1, 768] 2025-09-07T08:58:28.3453765Z dtypes: torch.float16, torch.float16 2025-09-07T08:58:28.3454013Z mm 0.0099 ms 100.0% 2025-09-07T08:58:28.3454661Z triton_mm_31 0.0107 ms 92.5% 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 2025-09-07T08:58:28.3455596Z triton_mm_37 0.0117 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:58:28.3456671Z triton_mm_26 0.0119 ms 82.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:58:28.3457830Z triton_mm_30 0.0122 ms 81.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:28.3458675Z triton_mm_27 0.0128 ms 76.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:58:28.3459513Z triton_mm_36 0.0129 ms 76.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:28.3460351Z triton_mm_33 0.0132 ms 74.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:28.3461207Z triton_mm_29 0.0132 ms 74.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:28.3462042Z triton_mm_23 0.0143 ms 69.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:58:28.3462796Z SingleProcess AUTOTUNE benchmarking takes 0.2374 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:58:30.3750994Z Autotune Choices Stats: 2025-09-07T08:58:30.3752348Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.010751999914646149, "best_triton_pos": 1, "best_triton_time": 0.011008000001311302, "best_triton_kernel": "triton_mm_50", "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"} 2025-09-07T08:58:30.3987143Z AUTOTUNE addmm(1024x768, 1024x768, 768x768) 2025-09-07T08:58:30.3987630Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T08:58:30.3987928Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:58:30.3988229Z bias_addmm 0.0108 ms 100.0% 2025-09-07T08:58:30.3988859Z triton_mm_50 0.0110 ms 97.7% 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 2025-09-07T08:58:30.3989848Z triton_mm_45 0.0124 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:58:30.3990818Z triton_mm_49 0.0126 ms 85.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:30.3991811Z triton_mm_56 0.0128 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:58:30.3992782Z triton_mm_46 0.0132 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:58:30.3994156Z triton_mm_52 0.0136 ms 79.2% 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 2025-09-07T08:58:30.3995141Z triton_mm_48 0.0137 ms 78.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:30.3996114Z triton_mm_55 0.0138 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=3, num_warps=4 2025-09-07T08:58:30.3996920Z addmm 0.0140 ms 76.7% 2025-09-07T08:58:30.3997512Z SingleProcess AUTOTUNE benchmarking takes 0.2822 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T08:58:30.6313171Z Autotune Choices Stats: 2025-09-07T08:58:30.6314272Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_69", "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=4, num_warps=4", "best_time": 0.014944000169634819, "best_triton_pos": 0} 2025-09-07T08:58:30.6329609Z AUTOTUNE bmm(36x512x64, 36x64x512) 2025-09-07T08:58:30.6329889Z strides: [32768, 64, 1], [32768, 512, 1] 2025-09-07T08:58:30.6330156Z dtypes: torch.float16, torch.float16 2025-09-07T08:58:30.6330769Z triton_bmm_69 0.0149 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:58:30.6331708Z triton_bmm_68 0.0151 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:30.6332615Z triton_bmm_70 0.0153 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:30.6333534Z triton_bmm_66 0.0154 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:30.6334443Z triton_bmm_73 0.0154 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:30.6335092Z bmm 0.0156 ms 95.5% 2025-09-07T08:58:30.6335608Z triton_bmm_65 0.0165 ms 90.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:58:30.6336519Z triton_bmm_71 0.0167 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:30.6337689Z triton_bmm_67 0.0171 ms 87.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:30.6338603Z triton_bmm_63 0.0174 ms 85.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:58:30.6339388Z SingleProcess AUTOTUNE benchmarking takes 0.2331 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:58:30.8831925Z Autotune Choices Stats: 2025-09-07T08:58:30.8832926Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_88", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.023903999477624893, "best_triton_pos": 0} 2025-09-07T08:58:30.8847622Z AUTOTUNE bmm(48x256x768, 48x768x64) 2025-09-07T08:58:30.8847871Z strides: [197120, 769, 1], [49152, 64, 1] 2025-09-07T08:58:30.8848136Z dtypes: torch.float16, torch.float16 2025-09-07T08:58:30.8849035Z triton_bmm_88 0.0239 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:58:30.8849992Z triton_bmm_84 0.0243 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:58:30.8850897Z triton_bmm_83 0.0285 ms 83.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:58:30.8851976Z triton_bmm_78 0.0308 ms 77.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:58:30.8852869Z triton_bmm_92 0.0326 ms 73.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:30.8853762Z triton_bmm_86 0.0337 ms 70.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:30.8854752Z triton_bmm_93 0.0379 ms 63.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:58:30.8855650Z triton_bmm_77 0.0383 ms 62.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T08:58:30.8856552Z triton_bmm_79 0.0418 ms 57.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:58:30.8857576Z triton_bmm_90 0.0423 ms 56.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:30.8858381Z SingleProcess AUTOTUNE benchmarking takes 0.2513 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:58:31.1758064Z Autotune Choices Stats: 2025-09-07T08:58:31.1759430Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.01616000011563301, "best_triton_pos": 1, "best_triton_time": 0.018783999606966972, "best_triton_kernel": "triton_mm_144", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T08:58:31.1773694Z AUTOTUNE addmm(1024x768, 1024x3072, 3072x768) 2025-09-07T08:58:31.1773980Z strides: [0, 1], [3072, 1], [1, 3072] 2025-09-07T08:58:31.1774287Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:58:31.1774647Z bias_addmm 0.0162 ms 100.0% 2025-09-07T08:58:31.1775259Z triton_mm_144 0.0188 ms 86.0% 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 2025-09-07T08:58:31.1775887Z addmm 0.0196 ms 82.2% 2025-09-07T08:58:31.1776626Z triton_mm_140 0.0241 ms 67.1% 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 2025-09-07T08:58:31.1778060Z triton_mm_150 0.0242 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=5, num_warps=8 2025-09-07T08:58:31.1779137Z triton_mm_139 0.0282 ms 57.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:58:31.1780219Z triton_mm_143 0.0286 ms 56.4% 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 2025-09-07T08:58:31.1781532Z triton_mm_149 0.0311 ms 52.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:31.1782596Z triton_mm_136 0.0312 ms 51.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:58:31.1783655Z triton_mm_142 0.0343 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 2025-09-07T08:58:31.1784744Z SingleProcess AUTOTUNE benchmarking takes 0.2905 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T08:58:43.3369159Z Autotune Choices Stats: 2025-09-07T08:58:43.3370542Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.12822400033473969, "best_triton_pos": 1, "best_triton_time": 0.15919999778270721, "best_triton_kernel": "triton_mm_1848", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:58:43.3384856Z AUTOTUNE addmm(1024x50272, 1024x768, 768x50272) 2025-09-07T08:58:43.3385161Z strides: [0, 1], [768, 1], [50304, 1] 2025-09-07T08:58:43.3385485Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T08:58:43.3385800Z bias_addmm 0.1282 ms 100.0% 2025-09-07T08:58:43.3386429Z triton_mm_1848 0.1592 ms 80.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:43.3387923Z triton_mm_1847 0.1844 ms 69.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:43.3388933Z triton_mm_1849 0.1896 ms 67.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:58:43.3389934Z triton_mm_1842 0.2044 ms 62.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:43.3390930Z triton_mm_1840 0.2124 ms 60.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:43.3391853Z triton_mm_1841 0.2183 ms 58.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:43.3392766Z triton_mm_1844 0.2290 ms 56.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:43.3393681Z triton_mm_1845 0.2340 ms 54.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:43.3394258Z addmm 0.2394 ms 53.6% 2025-09-07T08:58:43.3394681Z SingleProcess AUTOTUNE benchmarking takes 0.6861 seconds and 2.4515 seconds precompiling for 21 choices 2025-09-07T08:58:46.2448466Z Autotune Choices Stats: 2025-09-07T08:58:46.2449802Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.18995200097560883, "best_triton_pos": 1, "best_triton_time": 0.3140160143375397, "best_triton_kernel": "triton_mm_1886", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:58:46.2466842Z AUTOTUNE mm(50265x1024, 1024x768) 2025-09-07T08:58:46.2467124Z strides: [1, 50304], [768, 1] 2025-09-07T08:58:46.2467549Z dtypes: torch.float16, torch.float16 2025-09-07T08:58:46.2467823Z mm 0.1900 ms 100.0% 2025-09-07T08:58:46.2468979Z triton_mm_1886 0.3140 ms 60.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:46.2470107Z triton_mm_1885 0.3286 ms 57.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:46.2471216Z triton_mm_1880 0.3475 ms 54.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:46.2472430Z triton_mm_1878 0.3561 ms 53.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:46.2473409Z triton_mm_1887 0.4053 ms 46.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:58:46.2474405Z triton_mm_1882 0.4492 ms 42.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:46.2475386Z triton_mm_1879 0.4970 ms 38.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:46.2476367Z triton_mm_1883 0.5305 ms 35.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:46.2477507Z triton_mm_1884 0.5447 ms 34.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T08:58:46.2478376Z SingleProcess AUTOTUNE benchmarking takes 0.7183 seconds and 0.0114 seconds precompiling for 20 choices 2025-09-07T08:58:48.0933970Z Autotune Choices Stats: 2025-09-07T08:58:48.0936230Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.009568000212311745, "best_triton_pos": 1, "best_triton_time": 0.010623999871313572, "best_triton_kernel": "triton_mm_1900", "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"} 2025-09-07T08:58:48.0951695Z AUTOTUNE mm(1024x768, 768x768) 2025-09-07T08:58:48.0951962Z strides: [768, 1], [768, 1] 2025-09-07T08:58:48.0952228Z dtypes: torch.float16, torch.float16 2025-09-07T08:58:48.0952483Z mm 0.0096 ms 100.0% 2025-09-07T08:58:48.0953010Z triton_mm_1900 0.0106 ms 90.1% 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 2025-09-07T08:58:48.0953883Z triton_mm_1906 0.0118 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:58:48.0954747Z triton_mm_1899 0.0118 ms 80.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:48.0955598Z triton_mm_1895 0.0123 ms 77.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:58:48.0956446Z triton_mm_1898 0.0125 ms 76.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:48.0957447Z triton_mm_1905 0.0126 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 2025-09-07T08:58:48.0958298Z triton_mm_1896 0.0127 ms 75.1% 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 2025-09-07T08:58:48.0959606Z triton_mm_1902 0.0129 ms 74.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:48.0960493Z triton_mm_1897 0.0148 ms 64.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:48.0961443Z SingleProcess AUTOTUNE benchmarking takes 0.8778 seconds and 0.7637 seconds precompiling for 20 choices 2025-09-07T08:58:48.4916612Z Autotune Choices Stats: 2025-09-07T08:58:48.4918139Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.009824000298976898, "best_triton_pos": 1, "best_triton_time": 0.01065600011497736, "best_triton_kernel": "triton_mm_1919", "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"} 2025-09-07T08:58:48.4934172Z AUTOTUNE mm(768x1024, 1024x768) 2025-09-07T08:58:48.4934391Z strides: [1, 768], [768, 1] 2025-09-07T08:58:48.4934691Z dtypes: torch.float16, torch.float16 2025-09-07T08:58:48.4934928Z mm 0.0098 ms 100.0% 2025-09-07T08:58:48.4935451Z triton_mm_1919 0.0107 ms 92.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:58:48.4936337Z triton_mm_1925 0.0127 ms 77.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:58:48.4937193Z triton_mm_1914 0.0128 ms 76.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:58:48.4938179Z triton_mm_1915 0.0129 ms 76.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:58:48.4939033Z triton_mm_1918 0.0130 ms 75.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:48.4939879Z triton_mm_1917 0.0135 ms 72.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:48.4940729Z triton_mm_1921 0.0136 ms 72.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:48.4941668Z triton_mm_1924 0.0141 ms 69.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:48.4942657Z triton_mm_1911 0.0156 ms 62.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:58:48.4943508Z SingleProcess AUTOTUNE benchmarking takes 0.2038 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:58:50.9965723Z Autotune Choices Stats: 2025-09-07T08:58:50.9968364Z {"num_choices": 25, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.11721599847078323, "best_triton_pos": 3, "best_triton_time": 0.19920000433921814, "best_triton_kernel": "triton_mm_1862", "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"} 2025-09-07T08:58:50.9991207Z AUTOTUNE mm(1024x50272, 50272x768) 2025-09-07T08:58:50.9991469Z strides: [50304, 1], [768, 1] 2025-09-07T08:58:50.9991728Z dtypes: torch.float16, torch.float16 2025-09-07T08:58:50.9991982Z mm 0.1172 ms 100.0% 2025-09-07T08:58:50.9992244Z decompose_k_mm_4_split_1 0.1207 ms 97.1% k_split=4 2025-09-07T08:58:50.9993508Z decompose_k_mm_2_split_0 0.1493 ms 78.5% k_split=2 2025-09-07T08:58:50.9994680Z triton_mm_1862 0.1992 ms 58.8% 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 2025-09-07T08:58:50.9996326Z triton_mm_1868 0.2956 ms 39.6% 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 2025-09-07T08:58:50.9998582Z triton_mm_1861 0.3105 ms 37.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:58:51.0000152Z triton_mm_1858 0.3107 ms 37.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:58:51.0001770Z triton_mm_1857 0.3132 ms 37.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:58:51.0003428Z triton_mm_1867 0.3709 ms 31.6% 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 2025-09-07T08:58:51.0004351Z triton_mm_1860 0.3764 ms 31.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:58:51.0005165Z SingleProcess AUTOTUNE benchmarking takes 1.4376 seconds and 0.0002 seconds precompiling for 25 choices 2025-09-07T08:59:07.0693941Z Autotune Choices Stats: 2025-09-07T08:59:07.0695450Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.014495999552309513, "best_triton_pos": 1, "best_triton_time": 0.015104000456631184, "best_triton_kernel": "triton_mm_1937", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:59:07.0711144Z AUTOTUNE mm(1024x768, 768x3072) 2025-09-07T08:59:07.0711397Z strides: [768, 1], [3072, 1] 2025-09-07T08:59:07.0711643Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:07.0711912Z mm 0.0145 ms 100.0% 2025-09-07T08:59:07.0712513Z triton_mm_1937 0.0151 ms 96.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:07.0713532Z triton_mm_1943 0.0159 ms 91.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:07.0714530Z triton_mm_1936 0.0160 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 2025-09-07T08:59:07.0715522Z triton_mm_1935 0.0171 ms 84.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:07.0716507Z triton_mm_1942 0.0177 ms 81.9% 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 2025-09-07T08:59:07.0717679Z triton_mm_1939 0.0181 ms 80.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:07.0718670Z triton_mm_1940 0.0184 ms 78.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:07.0719604Z triton_mm_1944 0.0187 ms 77.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:59:07.0720956Z triton_mm_1938 0.0197 ms 73.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:59:07.0721794Z SingleProcess AUTOTUNE benchmarking takes 0.2246 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T08:59:07.8060500Z Autotune Choices Stats: 2025-09-07T08:59:07.8062303Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.013952000066637993, "best_triton_pos": 1, "best_triton_time": 0.016063999384641647, "best_triton_kernel": "triton_mm_1956", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:59:07.8078852Z AUTOTUNE mm(768x1024, 1024x3072) 2025-09-07T08:59:07.8079095Z strides: [1, 768], [3072, 1] 2025-09-07T08:59:07.8079342Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:07.8079591Z mm 0.0140 ms 100.0% 2025-09-07T08:59:07.8080145Z triton_mm_1956 0.0161 ms 86.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:07.8081126Z triton_mm_1955 0.0168 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:07.8082069Z triton_mm_1959 0.0177 ms 78.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:07.8082992Z triton_mm_1962 0.0187 ms 74.8% 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 2025-09-07T08:59:07.8083916Z triton_mm_1954 0.0189 ms 73.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:07.8084827Z triton_mm_1958 0.0195 ms 71.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:07.8085737Z triton_mm_1952 0.0203 ms 68.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:59:07.8086657Z triton_mm_1961 0.0203 ms 68.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:07.8087918Z triton_mm_1963 0.0204 ms 68.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:59:07.8088735Z SingleProcess AUTOTUNE benchmarking takes 0.2232 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:59:08.2314628Z Autotune Choices Stats: 2025-09-07T08:59:08.2315892Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01375999953597784, "best_triton_pos": 1, "best_triton_time": 0.016383999958634377, "best_triton_kernel": "triton_mm_1994", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:59:08.2335062Z AUTOTUNE mm(3072x1024, 1024x768) 2025-09-07T08:59:08.2335312Z strides: [1, 3072], [768, 1] 2025-09-07T08:59:08.2335555Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:08.2335815Z mm 0.0138 ms 100.0% 2025-09-07T08:59:08.2336399Z triton_mm_1994 0.0164 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:08.2337870Z triton_mm_1993 0.0168 ms 82.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:08.2338898Z triton_mm_1997 0.0170 ms 81.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:08.2339893Z triton_mm_2000 0.0185 ms 74.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:08.2341064Z triton_mm_1992 0.0189 ms 72.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:08.2342073Z triton_mm_1996 0.0193 ms 71.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:08.2343067Z triton_mm_1990 0.0199 ms 69.2% 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 2025-09-07T08:59:08.2344069Z triton_mm_1999 0.0200 ms 68.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:08.2345060Z triton_mm_2001 0.0203 ms 67.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:59:08.2345929Z SingleProcess AUTOTUNE benchmarking takes 0.2285 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:59:10.8305127Z Autotune Choices Stats: 2025-09-07T08:59:10.8306485Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.016256000846624374, "best_triton_pos": 1, "best_triton_time": 0.017535999417304993, "best_triton_kernel": "triton_mm_1976", "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"} 2025-09-07T08:59:10.8761275Z AUTOTUNE mm(1024x3072, 3072x768) 2025-09-07T08:59:10.8761759Z strides: [3072, 1], [768, 1] 2025-09-07T08:59:10.8762177Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:10.8762598Z mm 0.0163 ms 100.0% 2025-09-07T08:59:10.8763646Z triton_mm_1976 0.0175 ms 92.7% 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 2025-09-07T08:59:10.8765315Z triton_mm_1972 0.0229 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 2025-09-07T08:59:10.8766915Z triton_mm_1982 0.0243 ms 67.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:59:10.8768979Z triton_mm_1975 0.0272 ms 59.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:10.8769937Z triton_mm_1971 0.0276 ms 58.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:59:10.8770856Z triton_mm_1981 0.0296 ms 54.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:10.8771768Z triton_mm_1968 0.0301 ms 53.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:59:10.8773163Z triton_mm_1974 0.0319 ms 50.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:10.8774116Z triton_mm_1978 0.0322 ms 50.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:10.8774987Z SingleProcess AUTOTUNE benchmarking takes 0.2996 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:59:11.0845446Z Autotune Choices Stats: 2025-09-07T08:59:11.0847032Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_2056", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.0226879995316267, "best_triton_pos": 0} 2025-09-07T08:59:11.0979862Z AUTOTUNE bmm(48x768x256, 48x256x64) 2025-09-07T08:59:11.0980129Z strides: [197120, 1, 769], [16384, 64, 1] 2025-09-07T08:59:11.0980404Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:11.0981063Z triton_bmm_2056 0.0227 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:11.0982078Z triton_bmm_2051 0.0230 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=4 2025-09-07T08:59:11.0983062Z triton_bmm_2049 0.0248 ms 91.4% 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 2025-09-07T08:59:11.0984056Z triton_bmm_2042 0.0254 ms 89.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:59:11.0985053Z triton_bmm_2052 0.0254 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:59:11.0986051Z triton_bmm_2050 0.0255 ms 89.1% 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 2025-09-07T08:59:11.0987031Z triton_bmm_2047 0.0257 ms 88.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:59:11.0987816Z bmm 0.0259 ms 87.6% 2025-09-07T08:59:11.0988393Z triton_bmm_2048 0.0261 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:59:11.0989381Z triton_bmm_2053 0.0274 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:11.0990179Z SingleProcess AUTOTUNE benchmarking takes 0.2197 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:59:11.4966528Z Autotune Choices Stats: 2025-09-07T08:59:11.4968415Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "bmm", "best_time": 0.015135999768972397, "best_triton_pos": 1, "best_triton_time": 0.015647999942302704, "best_triton_kernel": "triton_bmm_2067", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T08:59:11.4986840Z AUTOTUNE bmm(48x256x64, 48x64x768) 2025-09-07T08:59:11.4987180Z strides: [16384, 64, 1], [49152, 1, 64] 2025-09-07T08:59:11.4987638Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:11.4987929Z bmm 0.0151 ms 100.0% 2025-09-07T08:59:11.4988637Z triton_bmm_2067 0.0156 ms 96.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:11.4990366Z triton_bmm_2069 0.0156 ms 96.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:11.4991737Z triton_bmm_2071 0.0159 ms 95.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:11.4993098Z triton_bmm_2076 0.0160 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:59:11.4994614Z triton_bmm_2070 0.0160 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=4, num_warps=4 2025-09-07T08:59:11.4995947Z triton_bmm_2074 0.0160 ms 94.4% 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 2025-09-07T08:59:11.4997447Z triton_bmm_2066 0.0162 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:59:11.4998797Z triton_bmm_2075 0.0169 ms 89.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:11.4999915Z triton_bmm_2068 0.0171 ms 88.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:11.5000843Z SingleProcess AUTOTUNE benchmarking takes 0.4002 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T08:59:11.6811395Z Autotune Choices Stats: 2025-09-07T08:59:11.6812470Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_2091", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8", "best_time": 0.016736000776290894, "best_triton_pos": 0} 2025-09-07T08:59:11.6833904Z AUTOTUNE bmm(36x64x512, 36x512x512) 2025-09-07T08:59:11.6834209Z strides: [32768, 1, 64], [262144, 512, 1] 2025-09-07T08:59:11.6834529Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:11.6835291Z triton_bmm_2091 0.0167 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:11.6836459Z triton_bmm_2088 0.0169 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:11.6837951Z triton_bmm_2087 0.0169 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:11.6839297Z triton_bmm_2084 0.0172 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:59:11.6840047Z bmm 0.0178 ms 94.2% 2025-09-07T08:59:11.6840731Z triton_bmm_2090 0.0178 ms 94.2% 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 2025-09-07T08:59:11.6841913Z triton_bmm_2086 0.0178 ms 93.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:11.6843103Z triton_bmm_2089 0.0184 ms 91.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:59:11.6844492Z triton_bmm_2085 0.0190 ms 88.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T08:59:11.6845693Z triton_bmm_2093 0.0191 ms 87.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:59:11.6846720Z SingleProcess AUTOTUNE benchmarking takes 0.1838 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T08:59:11.8783281Z Autotune Choices Stats: 2025-09-07T08:59:11.8784655Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_2101", "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": 0.017376000061631203, "best_triton_pos": 0} 2025-09-07T08:59:11.8805439Z AUTOTUNE bmm(36x512x512, 36x512x64) 2025-09-07T08:59:11.8805753Z strides: [262144, 512, 1], [32768, 1, 512] 2025-09-07T08:59:11.8806094Z dtypes: torch.float16, torch.float16 2025-09-07T08:59:11.8806886Z triton_bmm_2101 0.0174 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T08:59:11.8808422Z triton_bmm_2105 0.0175 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T08:59:11.8809638Z triton_bmm_2110 0.0179 ms 97.0% 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 2025-09-07T08:59:11.8810389Z bmm 0.0182 ms 95.4% 2025-09-07T08:59:11.8811074Z triton_bmm_2102 0.0190 ms 91.4% 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 2025-09-07T08:59:11.8812270Z triton_bmm_2106 0.0192 ms 90.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T08:59:11.8813455Z triton_bmm_2111 0.0195 ms 89.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T08:59:11.8814732Z triton_bmm_2108 0.0198 ms 87.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:11.8815925Z triton_bmm_2104 0.0201 ms 86.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T08:59:11.8817100Z triton_bmm_2103 0.0202 ms 86.1% 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 2025-09-07T08:59:11.8818251Z SingleProcess AUTOTUNE benchmarking takes 0.1967 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T08:59:19.4438799Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244 2025-09-07T08:59:19.4440110Z layer_outputs = layer_module( 2025-09-07T08:59:19.4440693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:59:19.4441339Z return super().__call__(*args, **kwargs) 2025-09-07T08:59:19.4441948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward 2025-09-07T08:59:19.4442548Z self_attn_outputs = self.attention( 2025-09-07T08:59:19.4443126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward 2025-09-07T08:59:19.4444102Z self_outputs = self.self( 2025-09-07T08:59:19.4444670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward 2025-09-07T08:59:19.4445316Z attn_output = self._sliding_chunks_matmul_attn_probs_value( 2025-09-07T08:59:19.4446067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 874, in _sliding_chunks_matmul_attn_probs_value 2025-09-07T08:59:19.4447142Z chunked_value = padded_value.as_strided(size=chunked_value_size, stride=chunked_value_stride) 2025-09-07T08:59:19.4447655Z 2025-09-07T08:59:19.4447659Z 2025-09-07T08:59:20.6509726Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward 2025-09-07T08:59:20.6510840Z embedding_output = self.embeddings( 2025-09-07T08:59:20.6511530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 425, in forward 2025-09-07T08:59:20.6512268Z token_type_embeddings = self.token_type_embeddings(token_type_ids) 2025-09-07T08:59:20.6512557Z 2025-09-07T08:59:20.6512561Z 2025-09-07T08:59:20.7224803Z W0907 08:59:20.721000 22005 site-packages/torch/_logging/_internal.py:1199] [18/0] Profiler function will be ignored 2025-09-07T08:59:49.9916319Z pass 2025-09-07T08:59:56.9237608Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:59:56.9238978Z import pynvml # type: ignore[import] 2025-09-07T08:59:59.9904617Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T08:59:59.9905951Z from pkg_resources import resource_filename 2025-09-07T09:00:00.5836122Z 2025-09-07T09:00:04.0071108Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:00:04.0071468Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:00:04.0071754Z cuda train BartForCausalLM 2025-09-07T09:00:13.7704387Z Autotune Choices Stats: 2025-09-07T09:00:13.7705472Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_93", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.020160000771284103, "best_triton_pos": 0} 2025-09-07T09:00:13.7972493Z AUTOTUNE addmm(1024x4096, 1024x1024, 1024x4096) 2025-09-07T09:00:13.7972847Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T09:00:13.7973177Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:00:13.7973931Z triton_mm_93 0.0202 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:13.7974669Z bias_addmm 0.0204 ms 98.9% 2025-09-07T09:00:13.7975323Z triton_mm_94 0.0233 ms 86.4% 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 2025-09-07T09:00:13.7976334Z triton_mm_92 0.0247 ms 81.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:13.7977981Z triton_mm_87 0.0258 ms 78.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:13.7979145Z triton_mm_85 0.0278 ms 72.6% 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 2025-09-07T09:00:13.7980108Z triton_mm_89 0.0292 ms 69.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:13.7981351Z triton_mm_86 0.0293 ms 68.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:13.7981962Z addmm 0.0293 ms 68.7% 2025-09-07T09:00:13.7982529Z triton_mm_88 0.0298 ms 67.7% 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 2025-09-07T09:00:13.7983388Z SingleProcess AUTOTUNE benchmarking takes 0.3233 seconds and 3.4355 seconds precompiling for 21 choices 2025-09-07T09:00:17.7957230Z Autotune Choices Stats: 2025-09-07T09:00:17.7958730Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010912000201642513, "best_triton_pos": 1, "best_triton_time": 0.011327999643981457, "best_triton_kernel": "triton_mm_12", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T09:00:18.0928300Z AUTOTUNE mm(1024x1024, 1024x1024) 2025-09-07T09:00:18.0928569Z strides: [1024, 1], [1, 1024] 2025-09-07T09:00:18.0928792Z dtypes: torch.float16, torch.float16 2025-09-07T09:00:18.0929017Z mm 0.0109 ms 100.0% 2025-09-07T09:00:18.0929566Z triton_mm_12 0.0113 ms 96.3% 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 2025-09-07T09:00:18.0930528Z triton_mm_18 0.0127 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:18.0931429Z triton_mm_7 0.0132 ms 82.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:00:18.0932324Z triton_mm_11 0.0132 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:18.0933223Z triton_mm_17 0.0145 ms 75.4% 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 2025-09-07T09:00:18.0934116Z triton_mm_14 0.0148 ms 73.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:18.0935097Z triton_mm_10 0.0150 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 2025-09-07T09:00:18.0935982Z triton_mm_13 0.0181 ms 60.2% 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 2025-09-07T09:00:18.0936880Z triton_mm_9 0.0184 ms 59.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:18.0937871Z SingleProcess AUTOTUNE benchmarking takes 0.5512 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T09:00:18.3601046Z Autotune Choices Stats: 2025-09-07T09:00:18.3602735Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.011744000017642975, "best_triton_pos": 1, "best_triton_time": 0.01196799986064434, "best_triton_kernel": "triton_mm_69", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T09:00:18.3760401Z AUTOTUNE addmm(1024x1024, 1024x1024, 1024x1024) 2025-09-07T09:00:18.3760720Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T09:00:18.3761030Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:00:18.3761644Z bias_addmm 0.0117 ms 100.0% 2025-09-07T09:00:18.3762285Z triton_mm_69 0.0120 ms 98.1% 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 2025-09-07T09:00:18.3763304Z triton_mm_75 0.0135 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:18.3764348Z triton_mm_64 0.0137 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:00:18.3765344Z triton_mm_68 0.0139 ms 84.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:18.3766319Z triton_mm_65 0.0140 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:18.3767503Z triton_mm_74 0.0152 ms 77.3% 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 2025-09-07T09:00:18.3768512Z triton_mm_71 0.0154 ms 76.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:18.3769587Z triton_mm_67 0.0156 ms 75.4% 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 2025-09-07T09:00:18.3770349Z addmm 0.0162 ms 72.4% 2025-09-07T09:00:18.3770858Z SingleProcess AUTOTUNE benchmarking takes 0.2803 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T09:00:18.8255377Z Autotune Choices Stats: 2025-09-07T09:00:18.8256651Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.021376000717282295, "best_triton_pos": 1, "best_triton_time": 0.02284800074994564, "best_triton_kernel": "triton_mm_107", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T09:00:18.8543048Z AUTOTUNE addmm(1024x1024, 1024x4096, 4096x1024) 2025-09-07T09:00:18.8543350Z strides: [0, 1], [4096, 1], [1, 4096] 2025-09-07T09:00:18.8543646Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:00:18.8543956Z bias_addmm 0.0214 ms 100.0% 2025-09-07T09:00:18.8544569Z triton_mm_107 0.0228 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:00:18.8545202Z addmm 0.0260 ms 82.2% 2025-09-07T09:00:18.8545786Z triton_mm_113 0.0287 ms 74.6% 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 2025-09-07T09:00:18.8546765Z triton_mm_103 0.0297 ms 72.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:18.8547899Z triton_mm_102 0.0367 ms 58.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:00:18.8549150Z triton_mm_106 0.0368 ms 58.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:18.8550137Z triton_mm_112 0.0393 ms 54.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:18.8551060Z triton_mm_109 0.0445 ms 48.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:18.8552128Z triton_mm_105 0.0452 ms 47.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:18.8552913Z SingleProcess AUTOTUNE benchmarking takes 0.4775 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T09:00:25.1664184Z Autotune Choices Stats: 2025-09-07T09:00:25.1665522Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.1576640009880066, "best_triton_pos": 1, "best_triton_time": 0.1863040030002594, "best_triton_kernel": "triton_mm_131", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:00:25.1686157Z AUTOTUNE mm(1024x1024, 1024x50272) 2025-09-07T09:00:25.1686402Z strides: [1024, 1], [50304, 1] 2025-09-07T09:00:25.1686649Z dtypes: torch.float16, torch.float16 2025-09-07T09:00:25.1686885Z mm 0.1577 ms 100.0% 2025-09-07T09:00:25.1687559Z triton_mm_131 0.1863 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:25.1688489Z triton_mm_130 0.1944 ms 81.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:25.1689424Z triton_mm_132 0.2050 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:25.1690416Z triton_mm_125 0.2584 ms 61.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:25.1691309Z triton_mm_123 0.2768 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=3, num_warps=4 2025-09-07T09:00:25.1699812Z triton_mm_124 0.2847 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 2025-09-07T09:00:25.1700774Z triton_mm_126 0.2850 ms 55.3% 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 2025-09-07T09:00:25.1701702Z triton_mm_128 0.2901 ms 54.3% 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 2025-09-07T09:00:25.1702615Z triton_mm_127 0.2924 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 2025-09-07T09:00:25.1703389Z SingleProcess AUTOTUNE benchmarking takes 1.2381 seconds and 1.1806 seconds precompiling for 20 choices 2025-09-07T09:00:31.8462443Z Autotune Choices Stats: 2025-09-07T09:00:31.8464741Z {"num_choices": 25, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.1470080018043518, "best_triton_pos": 3, "best_triton_time": 0.20307199656963348, "best_triton_kernel": "triton_mm_164", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T09:00:31.9861734Z AUTOTUNE mm(1024x50272, 50272x1024) 2025-09-07T09:00:31.9862249Z strides: [50304, 1], [1024, 1] 2025-09-07T09:00:31.9862681Z dtypes: torch.float16, torch.float16 2025-09-07T09:00:31.9863125Z mm 0.1470 ms 100.0% 2025-09-07T09:00:31.9863566Z decompose_k_mm_4_split_1 0.1487 ms 98.9% k_split=4 2025-09-07T09:00:31.9864228Z decompose_k_mm_2_split_0 0.1489 ms 98.8% k_split=2 2025-09-07T09:00:31.9865263Z triton_mm_164 0.2031 ms 72.4% 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 2025-09-07T09:00:31.9866519Z triton_mm_170 0.2993 ms 49.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:31.9867864Z triton_mm_160 0.3185 ms 46.2% 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 2025-09-07T09:00:31.9868864Z triton_mm_163 0.3214 ms 45.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:31.9869848Z triton_mm_159 0.3366 ms 43.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:00:31.9870840Z triton_mm_169 0.3695 ms 39.8% 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 2025-09-07T09:00:31.9871839Z triton_mm_162 0.3773 ms 39.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:31.9872694Z SingleProcess AUTOTUNE benchmarking takes 3.3305 seconds and 1.0271 seconds precompiling for 25 choices 2025-09-07T09:00:33.1899664Z Autotune Choices Stats: 2025-09-07T09:00:33.1900796Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.15379199385643005, "best_triton_pos": 1, "best_triton_time": 0.18614399433135986, "best_triton_kernel": "triton_mm_150", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:00:33.2337715Z AUTOTUNE mm(50272x1024, 1024x1024) 2025-09-07T09:00:33.2338199Z strides: [1024, 1], [1024, 1] 2025-09-07T09:00:33.2338623Z dtypes: torch.float16, torch.float16 2025-09-07T09:00:33.2339060Z mm 0.1538 ms 100.0% 2025-09-07T09:00:33.2340080Z triton_mm_150 0.1861 ms 82.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:33.2341768Z triton_mm_149 0.1915 ms 80.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:33.2343361Z triton_mm_151 0.2092 ms 73.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:33.2345072Z triton_mm_142 0.2561 ms 60.1% 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 2025-09-07T09:00:33.2346052Z triton_mm_144 0.2581 ms 59.6% 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 2025-09-07T09:00:33.2347024Z triton_mm_145 0.2630 ms 58.5% 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 2025-09-07T09:00:33.2348472Z triton_mm_143 0.2759 ms 55.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:33.2349465Z triton_mm_146 0.2877 ms 53.5% 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 2025-09-07T09:00:33.2350449Z triton_mm_148 0.2890 ms 53.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T09:00:33.2351545Z SingleProcess AUTOTUNE benchmarking takes 1.0511 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:00:38.3650887Z Autotune Choices Stats: 2025-09-07T09:00:38.3654914Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.019007999449968338, "best_triton_pos": 1, "best_triton_time": 0.01942400075495243, "best_triton_kernel": "triton_mm_207", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:00:38.4092320Z AUTOTUNE mm(1024x1024, 1024x4096) 2025-09-07T09:00:38.4094164Z strides: [1, 1024], [4096, 1] 2025-09-07T09:00:38.4095997Z dtypes: torch.float16, torch.float16 2025-09-07T09:00:38.4098052Z mm 0.0190 ms 100.0% 2025-09-07T09:00:38.4100020Z triton_mm_207 0.0194 ms 97.9% 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 2025-09-07T09:00:38.4104191Z triton_mm_204 0.0203 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:38.4105029Z triton_mm_200 0.0206 ms 92.4% 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 2025-09-07T09:00:38.4105849Z triton_mm_199 0.0213 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:38.4106654Z triton_mm_208 0.0213 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=5, num_warps=8 2025-09-07T09:00:38.4107667Z triton_mm_206 0.0216 ms 88.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:38.4108486Z triton_mm_203 0.0222 ms 85.5% 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 2025-09-07T09:00:38.4109289Z triton_mm_201 0.0246 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 2025-09-07T09:00:38.4110078Z triton_mm_202 0.0274 ms 69.5% 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 2025-09-07T09:00:38.4110780Z SingleProcess AUTOTUNE benchmarking takes 0.4061 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T09:00:38.8457495Z Autotune Choices Stats: 2025-09-07T09:00:38.8458873Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.018880000337958336, "best_triton_pos": 1, "best_triton_time": 0.019487999379634857, "best_triton_kernel": "triton_mm_245", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:00:38.8550590Z AUTOTUNE mm(4096x1024, 1024x1024) 2025-09-07T09:00:38.8550959Z strides: [1, 4096], [1024, 1] 2025-09-07T09:00:38.8551246Z dtypes: torch.float16, torch.float16 2025-09-07T09:00:38.8551531Z mm 0.0189 ms 100.0% 2025-09-07T09:00:38.8552589Z triton_mm_245 0.0195 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:38.8553770Z triton_mm_238 0.0205 ms 92.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:38.8555075Z triton_mm_246 0.0213 ms 88.7% 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 2025-09-07T09:00:38.8556142Z triton_mm_237 0.0213 ms 88.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:38.8557179Z triton_mm_244 0.0214 ms 88.1% 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 2025-09-07T09:00:38.8558320Z triton_mm_242 0.0215 ms 87.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:38.8559289Z triton_mm_241 0.0224 ms 84.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:38.8560266Z triton_mm_239 0.0251 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 2025-09-07T09:00:38.8561245Z triton_mm_240 0.0273 ms 69.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:00:38.8562096Z SingleProcess AUTOTUNE benchmarking takes 0.2535 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:00:39.1466671Z Autotune Choices Stats: 2025-09-07T09:00:39.1468406Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.018751999363303185, "best_triton_pos": 1, "best_triton_time": 0.01958400011062622, "best_triton_kernel": "triton_mm_188", "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"} 2025-09-07T09:00:39.1494922Z AUTOTUNE mm(1024x1024, 1024x4096) 2025-09-07T09:00:39.1495251Z strides: [1024, 1], [4096, 1] 2025-09-07T09:00:39.1495536Z dtypes: torch.float16, torch.float16 2025-09-07T09:00:39.1495811Z mm 0.0188 ms 100.0% 2025-09-07T09:00:39.1496441Z triton_mm_188 0.0196 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:39.1497981Z triton_mm_180 0.0217 ms 86.4% 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 2025-09-07T09:00:39.1498974Z triton_mm_189 0.0218 ms 86.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:39.1499961Z triton_mm_187 0.0224 ms 83.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:39.1500932Z triton_mm_181 0.0242 ms 77.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:39.1501877Z triton_mm_182 0.0249 ms 75.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:39.1503235Z triton_mm_184 0.0255 ms 73.5% 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 2025-09-07T09:00:39.1504205Z triton_mm_183 0.0280 ms 66.9% 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 2025-09-07T09:00:39.1505168Z triton_mm_185 0.0282 ms 66.5% 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 2025-09-07T09:00:39.1506264Z SingleProcess AUTOTUNE benchmarking takes 0.2502 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:00:39.6401665Z Autotune Choices Stats: 2025-09-07T09:00:39.6403131Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010495999827980995, "best_triton_pos": 1, "best_triton_time": 0.010944000445306301, "best_triton_kernel": "triton_mm_278", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T09:00:39.6429042Z AUTOTUNE mm(1024x1024, 1024x1024) 2025-09-07T09:00:39.6429327Z strides: [1, 1024], [1024, 1] 2025-09-07T09:00:39.6429576Z dtypes: torch.float16, torch.float16 2025-09-07T09:00:39.6429833Z mm 0.0105 ms 100.0% 2025-09-07T09:00:39.6430449Z triton_mm_278 0.0109 ms 95.9% 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 2025-09-07T09:00:39.6431490Z triton_mm_284 0.0124 ms 84.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:39.6432499Z triton_mm_273 0.0131 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:00:39.6433471Z triton_mm_274 0.0132 ms 79.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:39.6434458Z triton_mm_277 0.0132 ms 79.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:39.6435455Z triton_mm_276 0.0140 ms 75.1% 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 2025-09-07T09:00:39.6436441Z triton_mm_280 0.0140 ms 74.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:39.6437703Z triton_mm_283 0.0145 ms 72.6% 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 2025-09-07T09:00:39.6438622Z triton_mm_275 0.0168 ms 62.6% 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 2025-09-07T09:00:39.6439419Z SingleProcess AUTOTUNE benchmarking takes 0.2078 seconds and 0.0011 seconds precompiling for 20 choices 2025-09-07T09:00:39.9142044Z Autotune Choices Stats: 2025-09-07T09:00:39.9143401Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01027199998497963, "best_triton_pos": 1, "best_triton_time": 0.010912000201642513, "best_triton_kernel": "triton_mm_373", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T09:00:39.9172149Z AUTOTUNE mm(1024x1024, 1024x1024) 2025-09-07T09:00:39.9172427Z strides: [1024, 1], [1024, 1] 2025-09-07T09:00:39.9172701Z dtypes: torch.float16, torch.float16 2025-09-07T09:00:39.9173417Z mm 0.0103 ms 100.0% 2025-09-07T09:00:39.9174087Z triton_mm_373 0.0109 ms 94.1% 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 2025-09-07T09:00:39.9175237Z triton_mm_379 0.0125 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=5, num_warps=8 2025-09-07T09:00:39.9176566Z triton_mm_372 0.0126 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:39.9177922Z triton_mm_368 0.0129 ms 79.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:00:39.9178905Z triton_mm_369 0.0133 ms 77.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:39.9179879Z triton_mm_371 0.0139 ms 74.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:39.9180856Z triton_mm_378 0.0143 ms 72.0% 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 2025-09-07T09:00:39.9181842Z triton_mm_375 0.0143 ms 71.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:39.9182816Z triton_mm_370 0.0168 ms 61.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:39.9183687Z SingleProcess AUTOTUNE benchmarking takes 0.2062 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:00:41.7495120Z Autotune Choices Stats: 2025-09-07T09:00:41.7496461Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.019967999309301376, "best_triton_pos": 1, "best_triton_time": 0.021824000403285027, "best_triton_kernel": "triton_mm_221", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T09:00:41.7522930Z AUTOTUNE mm(1024x4096, 4096x1024) 2025-09-07T09:00:41.7523205Z strides: [4096, 1], [1024, 1] 2025-09-07T09:00:41.7523466Z dtypes: torch.float16, torch.float16 2025-09-07T09:00:41.7523738Z mm 0.0200 ms 100.0% 2025-09-07T09:00:41.7524370Z triton_mm_221 0.0218 ms 91.5% 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 2025-09-07T09:00:41.7525396Z triton_mm_217 0.0277 ms 72.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:41.7526384Z triton_mm_227 0.0289 ms 69.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:00:41.7527636Z triton_mm_220 0.0345 ms 57.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:00:41.7528559Z triton_mm_216 0.0351 ms 56.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:00:41.7529469Z triton_mm_226 0.0375 ms 53.3% 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 2025-09-07T09:00:41.7530760Z triton_mm_219 0.0406 ms 49.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:41.7531694Z triton_mm_223 0.0411 ms 48.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:00:41.7532611Z triton_mm_213 0.0483 ms 41.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:00:41.7533591Z SingleProcess AUTOTUNE benchmarking takes 0.2887 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:00:43.4463987Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bart/modeling_bart.py", line 101, in forward 2025-09-07T09:00:43.4465221Z return super().forward(position_ids + self.offset) 2025-09-07T09:00:43.4465470Z 2025-09-07T09:00:43.4465475Z 2025-09-07T09:00:43.7040197Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bart/modeling_bart.py", line 114, in forward 2025-09-07T09:00:43.7041279Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:00:43.7041551Z 2025-09-07T09:00:43.7041555Z 2025-09-07T09:00:44.3719182Z pass 2025-09-07T09:00:48.0595261Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:00:48.0597779Z import pynvml # type: ignore[import] 2025-09-07T09:00:51.1241282Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:00:51.1243371Z from pkg_resources import resource_filename 2025-09-07T09:00:51.7306285Z 2025-09-07T09:00:57.5984013Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:00:57.5984388Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:00:57.5984689Z cuda train BartForConditionalGeneration 2025-09-07T09:01:02.5241753Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bart/modeling_bart.py", line 114, in forward 2025-09-07T09:01:02.5243509Z return super().forward(input_ids) * self.embed_scale 2025-09-07T09:01:02.5243939Z 2025-09-07T09:01:02.5243946Z 2025-09-07T09:01:09.1013115Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bart/modeling_bart.py", line 101, in forward 2025-09-07T09:01:09.1014976Z return super().forward(position_ids + self.offset) 2025-09-07T09:01:09.1015384Z 2025-09-07T09:01:09.1015391Z 2025-09-07T09:01:26.8122772Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bart/modeling_bart.py", line 101, in forward 2025-09-07T09:01:26.8123995Z return super().forward(position_ids + self.offset) 2025-09-07T09:01:26.8124234Z 2025-09-07T09:01:26.8124238Z 2025-09-07T09:01:29.3587974Z pass 2025-09-07T09:01:33.1044857Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:01:33.1046176Z import pynvml # type: ignore[import] 2025-09-07T09:01:36.2630110Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:01:36.2631934Z from pkg_resources import resource_filename 2025-09-07T09:01:36.9105173Z 2025-09-07T09:01:38.9490715Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:01:38.9491076Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:01:38.9491377Z cuda train BertForMaskedLM 2025-09-07T09:01:58.4632712Z Autotune Choices Stats: 2025-09-07T09:01:58.4634847Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.01206399966031313, "best_triton_pos": 1, "best_triton_time": 0.013120000250637531, "best_triton_kernel": "triton_mm_94", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T09:01:58.4703434Z AUTOTUNE addmm(512x3072, 512x768, 768x3072) 2025-09-07T09:01:58.4703718Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T09:01:58.4704029Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:01:58.4704342Z bias_addmm 0.0121 ms 100.0% 2025-09-07T09:01:58.4704953Z triton_mm_94 0.0131 ms 92.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:01:58.4705930Z triton_mm_87 0.0136 ms 88.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:01:58.4706905Z triton_mm_83 0.0137 ms 88.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:01:58.4708017Z triton_mm_93 0.0141 ms 85.3% 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 2025-09-07T09:01:58.4708987Z triton_mm_90 0.0148 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:01:58.4709956Z triton_mm_86 0.0151 ms 79.9% 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 2025-09-07T09:01:58.4710958Z triton_mm_88 0.0158 ms 76.5% 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 2025-09-07T09:01:58.4711954Z triton_mm_89 0.0172 ms 70.2% 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 2025-09-07T09:01:58.4712871Z triton_mm_85 0.0173 ms 69.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:01:58.4713667Z SingleProcess AUTOTUNE benchmarking takes 0.2806 seconds and 0.0004 seconds precompiling for 21 choices 2025-09-07T09:02:01.1603737Z Autotune Choices Stats: 2025-09-07T09:02:01.1604830Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_8", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.00940799992531538, "best_triton_pos": 0} 2025-09-07T09:02:01.1629078Z AUTOTUNE addmm(512x768, 512x768, 768x768) 2025-09-07T09:02:01.1629831Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T09:02:01.1630138Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:02:01.1630834Z triton_mm_8 0.0094 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:02:01.1631463Z bias_addmm 0.0100 ms 93.9% 2025-09-07T09:02:01.1632066Z triton_mm_12 0.0104 ms 90.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:02:01.1633280Z triton_mm_4 0.0115 ms 81.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:02:01.1634186Z triton_mm_7 0.0116 ms 80.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:02:01.1635115Z triton_mm_11 0.0118 ms 79.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:01.1636017Z triton_mm_1 0.0124 ms 76.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:02:01.1636912Z triton_mm_3 0.0124 ms 75.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:02:01.1638145Z triton_mm_18 0.0125 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 2025-09-07T09:02:01.1638720Z addmm 0.0131 ms 71.9% 2025-09-07T09:02:01.1639143Z SingleProcess AUTOTUNE benchmarking takes 0.4151 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T09:02:01.6193248Z Autotune Choices Stats: 2025-09-07T09:02:01.6194546Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.013919999822974205, "best_triton_pos": 1, "best_triton_time": 0.01462399959564209, "best_triton_kernel": "triton_mm_103", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T09:02:01.6657638Z AUTOTUNE addmm(512x768, 512x3072, 3072x768) 2025-09-07T09:02:01.6658144Z strides: [0, 1], [3072, 1], [1, 3072] 2025-09-07T09:02:01.6658649Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:02:01.6659171Z bias_addmm 0.0139 ms 100.0% 2025-09-07T09:02:01.6660202Z triton_mm_103 0.0146 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:02:01.6661220Z addmm 0.0167 ms 83.2% 2025-09-07T09:02:01.6662301Z triton_mm_107 0.0175 ms 79.5% 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 2025-09-07T09:02:01.6663647Z triton_mm_99 0.0222 ms 62.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:02:01.6664639Z triton_mm_113 0.0234 ms 59.6% 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 2025-09-07T09:02:01.6665691Z triton_mm_102 0.0267 ms 52.2% 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 2025-09-07T09:02:01.6666669Z triton_mm_106 0.0275 ms 50.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:01.6668098Z triton_mm_96 0.0278 ms 50.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:02:01.6669102Z triton_mm_98 0.0288 ms 48.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:02:01.6670130Z SingleProcess AUTOTUNE benchmarking takes 0.4993 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T09:02:02.5143412Z Autotune Choices Stats: 2025-09-07T09:02:02.5144416Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_1404", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.0642239972949028, "best_triton_pos": 0} 2025-09-07T09:02:02.5516216Z AUTOTUNE addmm(512x30522, 512x768, 768x30522) 2025-09-07T09:02:02.5516566Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T09:02:02.5516904Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:02:02.5517977Z triton_mm_1404 0.0642 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:02.5519080Z triton_mm_1398 0.0715 ms 89.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:02.5520245Z triton_mm_1405 0.0752 ms 85.4% 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 2025-09-07T09:02:02.5521267Z triton_mm_1403 0.0776 ms 82.7% 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 2025-09-07T09:02:02.5522370Z triton_mm_1397 0.0822 ms 78.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:02.5523416Z triton_mm_1396 0.0827 ms 77.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:02.5524414Z triton_mm_1401 0.0839 ms 76.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:02.5525399Z triton_mm_1400 0.0873 ms 73.5% 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 2025-09-07T09:02:02.5526385Z triton_mm_1399 0.0878 ms 73.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:02:02.5527518Z triton_mm_1394 0.0882 ms 72.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:02:02.5528371Z SingleProcess AUTOTUNE benchmarking takes 0.8280 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T09:02:19.3744522Z Autotune Choices Stats: 2025-09-07T09:02:19.3746646Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.06943999975919724, "best_triton_pos": 1, "best_triton_time": 0.07081600278615952, "best_triton_kernel": "triton_mm_1441", "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"} 2025-09-07T09:02:19.5006502Z AUTOTUNE mm(30522x512, 512x768) 2025-09-07T09:02:19.5006991Z strides: [1, 30528], [768, 1] 2025-09-07T09:02:19.5007903Z dtypes: torch.float16, torch.float16 2025-09-07T09:02:19.5008719Z mm 0.0694 ms 100.0% 2025-09-07T09:02:19.5009353Z triton_mm_1441 0.0708 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:19.5010365Z triton_mm_1442 0.0756 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=3, num_warps=4 2025-09-07T09:02:19.5011556Z triton_mm_1434 0.0791 ms 87.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:19.5012527Z triton_mm_1436 0.0804 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:19.5013484Z triton_mm_1435 0.0836 ms 83.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:19.5014440Z triton_mm_1443 0.0837 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:02:19.5015494Z triton_mm_1440 0.0941 ms 73.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T09:02:19.5016456Z triton_mm_1438 0.0956 ms 72.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:19.5017595Z triton_mm_1437 0.1027 ms 67.6% 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 2025-09-07T09:02:19.5018458Z SingleProcess AUTOTUNE benchmarking takes 0.9013 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T09:02:20.5572666Z Autotune Choices Stats: 2025-09-07T09:02:20.5574003Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010879999957978725, "best_triton_pos": 1, "best_triton_time": 0.01190400030463934, "best_triton_kernel": "triton_mm_1512", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:02:20.5823034Z AUTOTUNE mm(768x512, 512x3072) 2025-09-07T09:02:20.5823317Z strides: [1, 768], [3072, 1] 2025-09-07T09:02:20.5823585Z dtypes: torch.float16, torch.float16 2025-09-07T09:02:20.5823853Z mm 0.0109 ms 100.0% 2025-09-07T09:02:20.5824461Z triton_mm_1512 0.0119 ms 91.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:20.5825446Z triton_mm_1511 0.0124 ms 88.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:20.5826407Z triton_mm_1515 0.0126 ms 86.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:20.5827754Z triton_mm_1518 0.0129 ms 84.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:20.5828841Z triton_mm_1510 0.0129 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:20.5829811Z triton_mm_1514 0.0133 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:20.5831168Z triton_mm_1517 0.0134 ms 81.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:20.5832170Z triton_mm_1508 0.0142 ms 76.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:02:20.5833159Z triton_mm_1519 0.0154 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 2025-09-07T09:02:20.5834210Z SingleProcess AUTOTUNE benchmarking takes 0.3615 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:02:21.4143766Z Autotune Choices Stats: 2025-09-07T09:02:21.4145143Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010751999914646149, "best_triton_pos": 1, "best_triton_time": 0.012095999903976917, "best_triton_kernel": "triton_mm_1550", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T09:02:21.5136686Z AUTOTUNE mm(3072x512, 512x768) 2025-09-07T09:02:21.5136985Z strides: [1, 3072], [768, 1] 2025-09-07T09:02:21.5137545Z dtypes: torch.float16, torch.float16 2025-09-07T09:02:21.5137965Z mm 0.0108 ms 100.0% 2025-09-07T09:02:21.5139015Z triton_mm_1550 0.0121 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:21.5140029Z triton_mm_1549 0.0124 ms 86.4% 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 2025-09-07T09:02:21.5141022Z triton_mm_1553 0.0126 ms 85.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:21.5142011Z triton_mm_1556 0.0128 ms 83.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:21.5142999Z triton_mm_1548 0.0129 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 2025-09-07T09:02:21.5143987Z triton_mm_1552 0.0132 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:21.5144973Z triton_mm_1555 0.0135 ms 79.8% 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 2025-09-07T09:02:21.5145959Z triton_mm_1546 0.0141 ms 76.2% 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 2025-09-07T09:02:21.5146937Z triton_mm_1557 0.0150 ms 71.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:02:21.5147933Z SingleProcess AUTOTUNE benchmarking takes 0.9110 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:02:22.1460511Z Autotune Choices Stats: 2025-09-07T09:02:22.1461780Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010912000201642513, "best_triton_pos": 1, "best_triton_time": 0.01206399966031313, "best_triton_kernel": "triton_mm_1500", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T09:02:22.1689329Z AUTOTUNE mm(512x768, 768x3072) 2025-09-07T09:02:22.1689623Z strides: [768, 1], [3072, 1] 2025-09-07T09:02:22.1690293Z dtypes: torch.float16, torch.float16 2025-09-07T09:02:22.1690596Z mm 0.0109 ms 100.0% 2025-09-07T09:02:22.1691223Z triton_mm_1500 0.0121 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 2025-09-07T09:02:22.1692275Z triton_mm_1493 0.0126 ms 86.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:22.1693500Z triton_mm_1489 0.0128 ms 85.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:02:22.1694529Z triton_mm_1499 0.0129 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:22.1695649Z triton_mm_1492 0.0134 ms 81.4% 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 2025-09-07T09:02:22.1696626Z triton_mm_1496 0.0137 ms 79.5% 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 2025-09-07T09:02:22.1698028Z triton_mm_1494 0.0145 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 2025-09-07T09:02:22.1699161Z triton_mm_1491 0.0153 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=3, num_warps=4 2025-09-07T09:02:22.1700156Z triton_mm_1495 0.0157 ms 69.5% 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 2025-09-07T09:02:22.1701026Z SingleProcess AUTOTUNE benchmarking takes 0.4308 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:02:23.1824700Z Autotune Choices Stats: 2025-09-07T09:02:23.1826023Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.008704000152647495, "best_triton_pos": 1, "best_triton_time": 0.00886400043964386, "best_triton_kernel": "triton_mm_1475", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4"} 2025-09-07T09:02:23.1922834Z AUTOTUNE mm(768x512, 512x768) 2025-09-07T09:02:23.1923129Z strides: [1, 768], [768, 1] 2025-09-07T09:02:23.1923396Z dtypes: torch.float16, torch.float16 2025-09-07T09:02:23.1923661Z mm 0.0087 ms 100.0% 2025-09-07T09:02:23.1924292Z triton_mm_1475 0.0089 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:02:23.1925329Z triton_mm_1470 0.0095 ms 91.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:02:23.1926315Z triton_mm_1474 0.0097 ms 90.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:23.1927486Z triton_mm_1473 0.0099 ms 88.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:23.1928492Z triton_mm_1477 0.0099 ms 87.7% 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 2025-09-07T09:02:23.1929602Z triton_mm_1481 0.0100 ms 86.9% 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 2025-09-07T09:02:23.1930942Z triton_mm_1471 0.0102 ms 85.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:02:23.1931871Z triton_mm_1480 0.0105 ms 82.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:23.1932980Z triton_mm_1472 0.0112 ms 77.7% 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 2025-09-07T09:02:23.1933775Z SingleProcess AUTOTUNE benchmarking takes 0.3266 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:02:29.5627599Z Autotune Choices Stats: 2025-09-07T09:02:29.5629109Z {"num_choices": 30, "num_triton_choices": 19, "best_kernel": "decompose_k_mm_6_split_2", "best_kernel_desc": "k_split=6", "best_time": 0.053888000547885895, "best_triton_pos": 5, "best_triton_time": 0.09641599655151367, "best_triton_kernel": "triton_mm_1414", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T09:02:29.5985905Z AUTOTUNE mm(512x30528, 30528x768) 2025-09-07T09:02:29.5986164Z strides: [30528, 1], [768, 1] 2025-09-07T09:02:29.5986414Z dtypes: torch.float16, torch.float16 2025-09-07T09:02:29.5986733Z decompose_k_mm_6_split_2 0.0539 ms 100.0% k_split=6 2025-09-07T09:02:29.5987040Z mm 0.0558 ms 96.5% 2025-09-07T09:02:29.5987603Z decompose_k_mm_3_split_1 0.0581 ms 92.8% k_split=3 2025-09-07T09:02:29.5987934Z decompose_k_mm_4_split_5 0.0581 ms 92.8% k_split=4 2025-09-07T09:02:29.5988255Z decompose_k_mm_2_split_0 0.0644 ms 83.7% k_split=2 2025-09-07T09:02:29.5988936Z triton_mm_1414 0.0964 ms 55.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:02:29.5989948Z triton_mm_1418 0.1217 ms 44.3% 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 2025-09-07T09:02:29.5990944Z triton_mm_1410 0.1396 ms 38.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:02:29.5991912Z triton_mm_1424 0.1652 ms 32.6% 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 2025-09-07T09:02:29.5992821Z triton_mm_1413 0.1903 ms 28.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:02:29.5993623Z SingleProcess AUTOTUNE benchmarking takes 4.6064 seconds and 0.0002 seconds precompiling for 30 choices 2025-09-07T09:02:29.8016250Z Autotune Choices Stats: 2025-09-07T09:02:29.8018312Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_1452", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.008352000266313553, "best_triton_pos": 0} 2025-09-07T09:02:29.8274206Z AUTOTUNE mm(512x768, 768x768) 2025-09-07T09:02:29.8274478Z strides: [768, 1], [768, 1] 2025-09-07T09:02:29.8274734Z dtypes: torch.float16, torch.float16 2025-09-07T09:02:29.8275427Z triton_mm_1452 0.0084 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:02:29.8276082Z mm 0.0086 ms 96.7% 2025-09-07T09:02:29.8277174Z triton_mm_1456 0.0094 ms 89.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:02:29.8278412Z triton_mm_1451 0.0104 ms 80.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:02:29.8279424Z triton_mm_1455 0.0107 ms 77.9% 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 2025-09-07T09:02:29.8280683Z triton_mm_1462 0.0111 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 2025-09-07T09:02:29.8281714Z triton_mm_1448 0.0112 ms 74.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:02:29.8282626Z triton_mm_1454 0.0115 ms 72.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:29.8283551Z triton_mm_1458 0.0117 ms 71.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:02:29.8284489Z triton_mm_1461 0.0118 ms 70.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:29.8285307Z SingleProcess AUTOTUNE benchmarking takes 0.2209 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:02:30.0784088Z Autotune Choices Stats: 2025-09-07T09:02:30.0785318Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01283199992030859, "best_triton_pos": 1, "best_triton_time": 0.01414399966597557, "best_triton_kernel": "triton_mm_1528", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T09:02:30.1199097Z AUTOTUNE mm(512x3072, 3072x768) 2025-09-07T09:02:30.1199389Z strides: [3072, 1], [768, 1] 2025-09-07T09:02:30.1199652Z dtypes: torch.float16, torch.float16 2025-09-07T09:02:30.1199927Z mm 0.0128 ms 100.0% 2025-09-07T09:02:30.1200549Z triton_mm_1528 0.0141 ms 90.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:02:30.1201817Z triton_mm_1532 0.0168 ms 76.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:02:30.1203379Z triton_mm_1524 0.0203 ms 63.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:02:30.1204984Z triton_mm_1538 0.0238 ms 53.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:02:30.1206577Z triton_mm_1531 0.0258 ms 49.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:30.1210037Z triton_mm_1527 0.0258 ms 49.7% 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 2025-09-07T09:02:30.1211747Z triton_mm_1537 0.0283 ms 45.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:02:30.1212728Z triton_mm_1523 0.0284 ms 45.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:02:30.1213861Z triton_mm_1521 0.0292 ms 43.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:02:30.1214662Z SingleProcess AUTOTUNE benchmarking takes 0.2915 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T09:02:33.9149713Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T09:02:33.9151250Z pred = mod(**cloned_inputs) 2025-09-07T09:02:33.9151835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward 2025-09-07T09:02:33.9152445Z outputs = self.bert( 2025-09-07T09:02:33.9152997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 964, in forward 2025-09-07T09:02:33.9153585Z embedding_output = self.embeddings( 2025-09-07T09:02:33.9154120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 186, in forward 2025-09-07T09:02:33.9154728Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T09:02:33.9154981Z 2025-09-07T09:02:33.9154985Z 2025-09-07T09:02:35.9490200Z W0907 09:02:35.948000 32251 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:03:03.8761098Z Run failed with return code: -11 2025-09-07T09:03:03.8761462Z Output: None 2025-09-07T09:03:03.8761666Z Error: None 2025-09-07T09:03:04.8262265Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:03:04.8263594Z import pynvml # type: ignore[import] 2025-09-07T09:03:07.9429830Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:03:07.9431270Z from pkg_resources import resource_filename 2025-09-07T09:03:08.8109448Z 2025-09-07T09:03:10.5890060Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:03:10.5890432Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:03:10.5890739Z cuda train BertForQuestionAnswering 2025-09-07T09:03:29.1840573Z Autotune Choices Stats: 2025-09-07T09:03:29.1842030Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_1372", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.007519999984651804, "best_triton_pos": 0} 2025-09-07T09:03:29.2719121Z AUTOTUNE mm(512x768, 768x2) 2025-09-07T09:03:29.2719621Z strides: [768, 1], [1, 768] 2025-09-07T09:03:29.2720110Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:29.2721065Z triton_mm_1372 0.0075 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:29.2722406Z triton_mm_1378 0.0077 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:03:29.2723666Z triton_mm_1383 0.0086 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:29.2725390Z triton_mm_1371 0.0096 ms 78.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:29.2726643Z triton_mm_1375 0.0096 ms 78.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:29.2728238Z triton_mm_1370 0.0097 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T09:03:29.2729861Z triton_mm_1382 0.0101 ms 74.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:29.2731186Z triton_mm_1369 0.0105 ms 71.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T09:03:29.2732521Z triton_mm_1377 0.0107 ms 70.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:03:29.2733336Z mm 0.0108 ms 69.9% 2025-09-07T09:03:29.2733930Z SingleProcess AUTOTUNE benchmarking takes 0.3332 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T09:03:42.1104889Z Autotune Choices Stats: 2025-09-07T09:03:42.1106015Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1404", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.007552000228315592, "best_triton_pos": 0} 2025-09-07T09:03:42.1249688Z AUTOTUNE mm(2x512, 512x768) 2025-09-07T09:03:42.1250035Z strides: [1, 2], [768, 1] 2025-09-07T09:03:42.1250286Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:42.1250955Z triton_mm_1404 0.0076 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T09:03:42.1251957Z triton_mm_1408 0.0077 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:42.1252933Z triton_mm_1403 0.0084 ms 90.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T09:03:42.1253913Z triton_mm_1402 0.0085 ms 88.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:42.1254954Z triton_mm_1407 0.0087 ms 87.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:42.1255929Z triton_mm_1416 0.0087 ms 87.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:42.1256904Z triton_mm_1412 0.0088 ms 85.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:03:42.1258038Z triton_mm_1414 0.0092 ms 81.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T09:03:42.1259012Z triton_mm_1401 0.0094 ms 80.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T09:03:42.1259980Z triton_mm_1411 0.0095 ms 79.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:42.1261238Z SingleProcess AUTOTUNE benchmarking takes 0.2392 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T09:03:43.7966116Z Autotune Choices Stats: 2025-09-07T09:03:43.7967203Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_1386", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.005919999908655882, "best_triton_pos": 0} 2025-09-07T09:03:43.8996503Z AUTOTUNE mm(512x2, 2x768) 2025-09-07T09:03:43.8996768Z strides: [2, 1], [768, 1] 2025-09-07T09:03:43.8997022Z dtypes: torch.float16, torch.float16 2025-09-07T09:03:43.8997891Z triton_mm_1386 0.0059 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:03:43.8998922Z triton_mm_1390 0.0059 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:03:43.8999925Z triton_mm_1385 0.0060 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:43.9000907Z triton_mm_1395 0.0060 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:03:43.9001883Z triton_mm_1389 0.0061 ms 97.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:03:43.9002863Z triton_mm_1393 0.0061 ms 97.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:43.9003847Z triton_mm_1388 0.0061 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:43.9004850Z triton_mm_1396 0.0061 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:03:43.9005753Z triton_mm_1391 0.0062 ms 95.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:03:43.9006651Z triton_mm_1384 0.0062 ms 94.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T09:03:43.9007581Z SingleProcess AUTOTUNE benchmarking takes 0.4562 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T09:03:48.0566339Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 539, in torch_dynamo_resume_in_forward_and_backward_pass_at_537 2025-09-07T09:03:48.0567892Z pred = mod(**cloned_inputs) 2025-09-07T09:03:48.0568524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 1767, in forward 2025-09-07T09:03:48.0569140Z outputs = self.bert( 2025-09-07T09:03:48.0569705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 964, in forward 2025-09-07T09:03:48.0570338Z embedding_output = self.embeddings( 2025-09-07T09:03:48.0570941Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 186, in forward 2025-09-07T09:03:48.0571624Z position_embeddings = self.position_embeddings(position_ids) 2025-09-07T09:03:48.0571902Z 2025-09-07T09:03:48.0571907Z 2025-09-07T09:03:48.8899400Z W0907 09:03:48.889000 35781 site-packages/torch/_logging/_internal.py:1199] [4/0] Profiler function will be ignored 2025-09-07T09:04:15.7558970Z Run failed with return code: -11 2025-09-07T09:04:15.7559340Z Output: None 2025-09-07T09:04:15.7559545Z Error: None 2025-09-07T09:04:16.7362744Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:04:16.7365383Z import pynvml # type: ignore[import] 2025-09-07T09:04:19.8032930Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:04:19.8034257Z from pkg_resources import resource_filename 2025-09-07T09:04:20.6001055Z 2025-09-07T09:04:44.7939170Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:04:44.7939661Z loading model: 0it [00:24, ?it/s] 2025-09-07T09:04:44.7940101Z cuda train BlenderbotForCausalLM 2025-09-07T09:04:44.8383133Z pass_due_to_skip 2025-09-07T09:04:46.2317780Z accuracy pass_rate=83.33% 2025-09-07T09:04:46.2323574Z calls_captured gmean=0.00x mean=641.333x 2025-09-07T09:04:46.2326806Z unique_graphs gmean=0.00x mean=4.500x 2025-09-07T09:04:46.2330388Z graph_breaks gmean=0.00x mean=5.333x 2025-09-07T09:04:46.2333582Z unique_graph_breaks gmean=0.00x mean=3.833x 2025-09-07T09:04:46.2336872Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:04:46.2340212Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:04:46.2343318Z cudagraph_skips gmean=0.00x mean=1.500x 2025-09-07T09:04:46.2344343Z compilation_latency mean=59.275 seconds 2025-09-07T09:04:47.3886925Z + [[ 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* ]] 2025-09-07T09:04:47.3888658Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:04:47.3888938Z + for target in "${targets[@]}" 2025-09-07T09:04:47.3889204Z + target_flag=('--performance') 2025-09-07T09:04:47.3889473Z + local target_flag 2025-09-07T09:04:47.3889745Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T09:04:47.3890051Z + target_flag+=(--cold-start-latency) 2025-09-07T09:04:47.3891223Z + [[ 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* ]] 2025-09-07T09:04:47.3893269Z + [[ 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* ]] 2025-09-07T09:04:47.3895539Z + python benchmarks/dynamo/huggingface.py --performance --cold-start-latency --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 5 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance.csv 2025-09-07T09:04:48.4032998Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:04:48.4034327Z import pynvml # type: ignore[import] 2025-09-07T09:04:51.5326915Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:04:51.5328843Z from pkg_resources import resource_filename 2025-09-07T09:04:53.8514972Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:04:53.8735085Z import pynvml # type: ignore[import] 2025-09-07T09:04:56.9263966Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/librosa/util/files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-09-07T09:04:56.9266126Z from pkg_resources import resource_filename 2025-09-07T09:04:57.5513406Z 2025-09-07T09:05:00.2862086Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:05:00.2862470Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:05:00.2862803Z cuda train AlbertForMaskedLM 2025-09-07T09:05:27.4560780Z 2025-09-07T09:05:27.6949367Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:06:30.9584078Z 2025-09-07T09:06:31.2383663Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:08:52.3868132Z 2025-09-07T09:08:52.5494086Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:11:12.6820700Z 2025-09-07T09:11:12.8036657Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:12:20.7624928Z 2025-09-07T09:12:20.8634792Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:14:10.2792479Z 2025-09-07T09:14:10.5053514Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:15:57.0030387Z 2025-09-07T09:15:57.3380972Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:17:51.3661913Z 2025-09-07T09:17:51.5645699Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:20:07.0939887Z 2025-09-07T09:20:07.2870118Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:21:15.2979894Z 2025-09-07T09:21:15.4758315Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:23:11.3347030Z 2025-09-07T09:23:11.8630090Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:25:12.0351065Z 2025-09-07T09:25:12.3700084Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:27:15.3975763Z 2025-09-07T09:27:15.5967519Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:29:41.7445951Z 2025-09-07T09:29:41.9375111Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:30:49.7169908Z 2025-09-07T09:30:49.8928206Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T09:32:47.6135362Z 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running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:00:40.0765157Z 2025-09-07T10:00:40.3623669Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T11:14:55.8080419Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T11:14:55.8095916Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:14:55.8096205Z env: 2025-09-07T11:14:55.8096367Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:14:55.8096614Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:14:55.8096948Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:14:55.8097501Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:14:55.8097876Z ##[endgroup] 2025-09-07T11:14:55.8130623Z + [[ -n '' ]] 2025-09-07T11:14:55.8130899Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T11:14:56.0884745Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T11:14:56.7741222Z Collecting boto3==1.35.33 2025-09-07T11:14:56.8093007Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T11:14:56.8364113Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.1/139.1 KB 5.2 MB/s eta 0:00:00 2025-09-07T11:14:56.9778534Z Collecting psutil==7.0.0 2025-09-07T11:14:56.9809973Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-09-07T11:14:56.9954890Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 278.0/278.0 KB 21.3 MB/s eta 0:00:00 2025-09-07T11:14:57.0146915Z Collecting pynvml==12.0.0 2025-09-07T11:14:57.0175057Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T11:14:57.6805799Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T11:14:57.6836987Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T11:14:57.7885541Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.3/13.3 MB 116.0 MB/s eta 0:00:00 2025-09-07T11:14:57.8317136Z Collecting jmespath<2.0.0,>=0.7.1 2025-09-07T11:14:57.8345266Z Downloading jmespath-1.0.1-py3-none-any.whl (20 kB) 2025-09-07T11:14:57.8723070Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T11:14:57.8751219Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T11:14:57.8840832Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.2/83.2 KB 10.1 MB/s eta 0:00:00 2025-09-07T11:14:57.9223255Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T11:14:57.9293550Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T11:14:57.9372252Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.5/47.5 KB 6.0 MB/s eta 0:00:00 2025-09-07T11:14:57.9435164Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.26.5) 2025-09-07T11:14:57.9442290Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-09-07T11:14:58.1739722Z Installing collected packages: nvidia-ml-py, pynvml, psutil, jmespath, botocore, s3transfer, boto3 2025-09-07T11:14:58.1740589Z Attempting uninstall: nvidia-ml-py 2025-09-07T11:14:58.1745353Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T11:14:58.1781204Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T11:14:58.1807235Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T11:14:58.2473317Z Attempting uninstall: psutil 2025-09-07T11:14:58.2479814Z Found existing installation: psutil 5.9.8 2025-09-07T11:14:58.2643520Z Uninstalling psutil-5.9.8: 2025-09-07T11:14:58.2652710Z Successfully uninstalled psutil-5.9.8 2025-09-07T11:14:58.9916015Z Successfully installed boto3-1.35.33 botocore-1.35.99 jmespath-1.0.1 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-09-07T11:14:59.0852424Z + DEVICE_NAME= 2025-09-07T11:14:59.0852668Z + DEVICE_TYPE= 2025-09-07T11:14:59.0852890Z + command -v nvidia-smi 2025-09-07T11:14:59.0853857Z /usr/bin/nvidia-smi 2025-09-07T11:14:59.0854149Z + python3 -mpip install torch==2.7.1 2025-09-07T11:14:59.3589108Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T11:14:59.5681957Z Collecting torch==2.7.1 2025-09-07T11:14:59.6007784Z Downloading torch-2.7.1-cp310-cp310-manylinux_2_28_x86_64.whl (821.2 MB) 2025-09-07T11:15:13.1361673Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 821.2/821.2 MB 1.1 MB/s eta 0:00:00 2025-09-07T11:15:14.3643452Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-09-07T11:15:14.3673706Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-09-07T11:15:19.1940325Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 200.2/200.2 MB 2.6 MB/s eta 0:00:00 2025-09-07T11:15:19.8863525Z Collecting filelock 2025-09-07T11:15:19.8893834Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-09-07T11:15:20.8116411Z Collecting triton==3.3.1 2025-09-07T11:15:20.8158854Z Downloading triton-3.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-09-07T11:15:22.6872762Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.6/155.6 MB 8.4 MB/s eta 0:00:00 2025-09-07T11:15:22.8748364Z Collecting networkx 2025-09-07T11:15:22.8781615Z Downloading networkx-3.4.2-py3-none-any.whl (1.7 MB) 2025-09-07T11:15:22.8975370Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 97.5 MB/s eta 0:00:00 2025-09-07T11:15:22.9434687Z Collecting fsspec 2025-09-07T11:15:22.9463618Z Downloading fsspec-2025.9.0-py3-none-any.whl (199 kB) 2025-09-07T11:15:22.9556036Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.3/199.3 KB 25.6 MB/s eta 0:00:00 2025-09-07T11:15:22.9784956Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-09-07T11:15:22.9812577Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-09-07T11:15:23.1489594Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 95.2 MB/s eta 0:00:00 2025-09-07T11:15:23.2203866Z Collecting sympy>=1.13.3 2025-09-07T11:15:23.2233955Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-09-07T11:15:23.2732979Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/6.3 MB 131.2 MB/s eta 0:00:00 2025-09-07T11:15:23.3081894Z Collecting nvidia-nccl-cu12==2.26.2 2025-09-07T11:15:23.3107902Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-09-07T11:15:25.7788841Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 201.3/201.3 MB 6.3 MB/s eta 0:00:00 2025-09-07T11:15:25.9905786Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-09-07T11:15:25.9964514Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-09-07T11:15:26.0104690Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 897.7/897.7 KB 74.9 MB/s eta 0:00:00 2025-09-07T11:15:26.0373033Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-09-07T11:15:26.0403380Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-09-07T11:15:33.7503160Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 571.0/571.0 MB 2.0 MB/s eta 0:00:00 2025-09-07T11:15:34.3042896Z Collecting nvidia-nvtx-cu12==12.6.77 2025-09-07T11:15:34.3070967Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-09-07T11:15:34.3149128Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 89.3/89.3 KB 13.3 MB/s eta 0:00:00 2025-09-07T11:15:34.3372963Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-09-07T11:15:34.3401801Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-09-07T11:15:39.2850569Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 393.1/393.1 MB 3.2 MB/s eta 0:00:00 2025-09-07T11:15:39.6732294Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-09-07T11:15:39.6803791Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-09-07T11:15:39.8119437Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.7/19.7 MB 115.8 MB/s eta 0:00:00 2025-09-07T11:15:39.8313992Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/grace/.local/lib/python3.10/site-packages (from torch==2.7.1) (4.15.0) 2025-09-07T11:15:39.8541510Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-09-07T11:15:39.8589274Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-09-07T11:15:42.1191533Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 216.6/216.6 MB 7.5 MB/s eta 0:00:00 2025-09-07T11:15:42.3425279Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-09-07T11:15:42.3457442Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-09-07T11:15:43.7570373Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 158.2/158.2 MB 13.4 MB/s eta 0:00:00 2025-09-07T11:15:43.9345098Z Collecting jinja2 2025-09-07T11:15:43.9373032Z Downloading jinja2-3.1.6-py3-none-any.whl (134 kB) 2025-09-07T11:15:43.9470021Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 134.9/134.9 KB 16.3 MB/s eta 0:00:00 2025-09-07T11:15:43.9695072Z Collecting nvidia-curand-cu12==10.3.7.77 2025-09-07T11:15:43.9724125Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-09-07T11:15:44.4283073Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.3/56.3 MB 41.4 MB/s eta 0:00:00 2025-09-07T11:15:44.4997141Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-09-07T11:15:44.5028877Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-09-07T11:15:44.5190531Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 79.1 MB/s eta 0:00:00 2025-09-07T11:15:44.5431942Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-09-07T11:15:44.5462825Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-09-07T11:15:44.6089141Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.9/8.9 MB 146.7 MB/s eta 0:00:00 2025-09-07T11:15:44.6356875Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-09-07T11:15:44.6390035Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-09-07T11:15:47.4703043Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 156.8/156.8 MB 4.7 MB/s eta 0:00:00 2025-09-07T11:15:47.6426573Z Requirement already satisfied: setuptools>=40.8.0 in /usr/lib/python3/dist-packages (from triton==3.3.1->torch==2.7.1) (59.6.0) 2025-09-07T11:15:48.0013797Z Collecting mpmath<1.4,>=1.1.0 2025-09-07T11:15:48.0042930Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-09-07T11:15:48.3141628Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 536.2/536.2 KB 1.7 MB/s eta 0:00:00 2025-09-07T11:15:48.7825040Z Collecting MarkupSafe>=2.0 2025-09-07T11:15:48.7850421Z Downloading MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20 kB) 2025-09-07T11:15:49.1009442Z Installing collected packages: nvidia-cusparselt-cu12, mpmath, triton, sympy, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, networkx, MarkupSafe, fsspec, filelock, nvidia-cusparse-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, jinja2, nvidia-cusolver-cu12, torch 2025-09-07T11:15:53.1694040Z WARNING: The scripts proton and proton-viewer are installed in '/home/grace/.local/bin' which is not on PATH. 2025-09-07T11:15:53.1694976Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T11:15:56.6979643Z WARNING: The script isympy is installed in '/home/grace/.local/bin' which is not on PATH. 2025-09-07T11:15:56.6980438Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T11:16:30.3988396Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/grace/.local/bin' which is not on PATH. 2025-09-07T11:16:30.3989197Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T11:16:31.4331825Z Successfully installed MarkupSafe-3.0.2 filelock-3.19.1 fsspec-2025.9.0 jinja2-3.1.6 mpmath-1.3.0 networkx-3.4.2 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.5.1.17 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-cusparselt-cu12-0.6.3 nvidia-nccl-cu12-2.26.2 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.6.77 sympy-1.14.0 torch-2.7.1 triton-3.3.1 2025-09-07T11:16:32.1397616Z + echo DEVICE_NAME= 2025-09-07T11:16:32.1398055Z + echo DEVICE_TYPE= 2025-09-07T11:16:32.1795799Z ##[group]Run set -eux 2025-09-07T11:16:32.1796021Z set -eux 2025-09-07T11:16:32.1796187Z  2025-09-07T11:16:32.1796370Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T11:16:32.1796643Z  echo "Missing github-token input" 2025-09-07T11:16:32.1796898Z  exit 1 2025-09-07T11:16:32.1797056Z fi 2025-09-07T11:16:32.1812940Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:16:32.1813251Z env: 2025-09-07T11:16:32.1813423Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:32.1813677Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:32.1814020Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:32.1814556Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:32.1814943Z DEVICE_NAME: 2025-09-07T11:16:32.1815116Z DEVICE_TYPE: 2025-09-07T11:16:32.1815497Z GITHUB_TOKEN: *** 2025-09-07T11:16:32.1815674Z ##[endgroup] 2025-09-07T11:16:32.2286423Z + [[ -z *** ]] 2025-09-07T11:16:32.2759272Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T11:16:32.2759808Z with: 2025-09-07T11:16:32.2760342Z github-token: *** 2025-09-07T11:16:32.2760618Z env: 2025-09-07T11:16:32.2760884Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:32.2761282Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:32.2761833Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:32.2762694Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:32.2763298Z DEVICE_NAME: 2025-09-07T11:16:32.2763562Z DEVICE_TYPE: 2025-09-07T11:16:32.2763825Z ##[endgroup] 2025-09-07T11:16:32.3203484Z ##[group]Run set -eux 2025-09-07T11:16:32.3203730Z set -eux 2025-09-07T11:16:32.3203905Z  2025-09-07T11:16:32.3204276Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T11:16:32.3220307Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:16:32.3220598Z env: 2025-09-07T11:16:32.3220756Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:32.3221006Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:32.3221373Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:32.3221802Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:32.3222176Z DEVICE_NAME: 2025-09-07T11:16:32.3222339Z DEVICE_TYPE: 2025-09-07T11:16:32.3222756Z GITHUB_TOKEN: *** 2025-09-07T11:16:32.3222947Z ##[endgroup] 2025-09-07T11:16:32.3695299Z + python3 /home/grace/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525296438 i-0d3ed1ff3ccbeec77-1007 2025-09-07T11:16:33.0834653Z setting job-id=49775781830 2025-09-07T11:16:33.0835270Z setting job-name=test-weekly / test (inductor_huggingface_perf_cuda_h100, 1, 5, linux.aws.h100) 2025-09-07T11:16:33.1183345Z ##[group]Run set -eux 2025-09-07T11:16:33.1183607Z set -eux 2025-09-07T11:16:33.1183909Z  2025-09-07T11:16:33.1184121Z if [[ -n "" ]]; then 2025-09-07T11:16:33.1184367Z  source "" 2025-09-07T11:16:33.1184706Z fi 2025-09-07T11:16:33.1184870Z  2025-09-07T11:16:33.1185193Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T11:16:33.1185619Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T11:16:33.1185893Z  --repo "${REPO}" \ 2025-09-07T11:16:33.1186132Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T11:16:33.1186399Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T11:16:33.1186884Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T11:16:33.1187179Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T11:16:33.1187612Z  --job-id "${JOB_ID}" \ 2025-09-07T11:16:33.1187850Z  --job-name "${JOB_NAME}" 2025-09-07T11:16:33.1203530Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:16:33.1203821Z env: 2025-09-07T11:16:33.1203975Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:33.1204230Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:33.1204564Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:33.1205000Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:33.1205360Z DEVICE_NAME: 2025-09-07T11:16:33.1205530Z DEVICE_TYPE: 2025-09-07T11:16:33.1205689Z SCHEMA_VERSION: v3 2025-09-07T11:16:33.1205873Z REPO: pytorch/pytorch 2025-09-07T11:16:33.1206069Z HEAD_BRANCH: refs/heads/main 2025-09-07T11:16:33.1206308Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T11:16:33.1206557Z WORKFLOW_RUN_ID: 17525296438 2025-09-07T11:16:33.1206742Z RUN_ATTEMPT: 1 2025-09-07T11:16:33.1206896Z JOB_ID: 49775781830 2025-09-07T11:16:33.1207199Z JOB_NAME: test-weekly / test (inductor_huggingface_perf_cuda_h100, 1, 5, linux.aws.h100) 2025-09-07T11:16:33.1207697Z ##[endgroup] 2025-09-07T11:16:33.1673370Z + [[ -n '' ]] 2025-09-07T11:16:33.1675016Z + python3 /home/grace/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 93fb23d6fae7c4e82c4239a1033e522088742634 --workflow-id 17525296438 --run-attempt 1 --job-id 49775781830 --job-name 'test-weekly / test (inductor_huggingface_perf_cuda_h100, 1, 5, linux.aws.h100)' 2025-09-07T11:16:33.2096929Z ##[group]Run set -eux 2025-09-07T11:16:33.2097138Z set -eux 2025-09-07T11:16:33.2097470Z  2025-09-07T11:16:33.2097660Z if [[ -n "" ]]; then 2025-09-07T11:16:33.2097868Z  source "" 2025-09-07T11:16:33.2098045Z fi 2025-09-07T11:16:33.2098195Z  2025-09-07T11:16:33.2098490Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T11:16:33.2113057Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:16:33.2113343Z env: 2025-09-07T11:16:33.2113498Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:33.2113747Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:33.2114075Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:33.2114499Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:33.2114867Z DEVICE_NAME: 2025-09-07T11:16:33.2115029Z DEVICE_TYPE: 2025-09-07T11:16:33.2115185Z ##[endgroup] 2025-09-07T11:16:33.2590219Z + [[ -n '' ]] 2025-09-07T11:16:33.2590890Z + python3 /home/grace/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T11:16:34.0401760Z /home/grace/.local/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-09-07T11:16:34.0403521Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-09-07T11:16:35.6672983Z ##[group]Run set -eux 2025-09-07T11:16:35.6673383Z set -eux 2025-09-07T11:16:35.6673576Z  2025-09-07T11:16:35.6673787Z # TODO (huydhn): Implement this part 2025-09-07T11:16:35.6674131Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T11:16:35.6689930Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:16:35.6690214Z env: 2025-09-07T11:16:35.6690375Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:35.6690614Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:35.6691177Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:35.6691617Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:35.6691982Z DEVICE_NAME: 2025-09-07T11:16:35.6692142Z DEVICE_TYPE: 2025-09-07T11:16:35.6692303Z ##[endgroup] 2025-09-07T11:16:35.7161275Z + echo 'dependencies={}' 2025-09-07T11:16:35.7607126Z ##[group]Run set -eux 2025-09-07T11:16:35.7607524Z set -eux 2025-09-07T11:16:35.7607678Z  2025-09-07T11:16:35.7607846Z if [[ -n "" ]]; then 2025-09-07T11:16:35.7608042Z  source "" 2025-09-07T11:16:35.7608214Z fi 2025-09-07T11:16:35.7608370Z  2025-09-07T11:16:35.7608557Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T11:16:35.7608882Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T11:16:35.7609230Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T11:16:35.7609518Z  exit 0 2025-09-07T11:16:35.7609687Z fi 2025-09-07T11:16:35.7609836Z  2025-09-07T11:16:35.7610004Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T11:16:35.7610360Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T11:16:35.7610768Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T11:16:35.7611078Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T11:16:35.7611329Z  --runners "${RUNNER_INFO}" \ 2025-09-07T11:16:35.7611575Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T11:16:35.7611806Z  --dry-run 2025-09-07T11:16:35.7612162Z else 2025-09-07T11:16:35.7612437Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T11:16:35.7612833Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T11:16:35.7613134Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T11:16:35.7613382Z  --runners "${RUNNER_INFO}" \ 2025-09-07T11:16:35.7613625Z  --dependencies "${DEPENDENCIES}" 2025-09-07T11:16:35.7613849Z fi 2025-09-07T11:16:35.7629610Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:16:35.7629902Z env: 2025-09-07T11:16:35.7630060Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:35.7630310Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:35.7630636Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:35.7631053Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:35.7631415Z DEVICE_NAME: 2025-09-07T11:16:35.7631574Z DEVICE_TYPE: 2025-09-07T11:16:35.7631753Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T11:16:35.7631970Z DRY_RUN: false 2025-09-07T11:16:35.7632898Z BENCHMARK_METADATA: {"timestamp": 1757243793, "schema_version": "v3", "name": "test-weekly / test (inductor_huggingface_perf_cuda_h100, 1, 5, linux.aws.h100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525296438, "run_attempt": 1, "job_id": 49775781830} 2025-09-07T11:16:35.7634218Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 192, "avail_mem_in_gb": 1999, "extra_info": {"hostname": "abe47d1c7e02"}, "name": "cuda", "type": "NVIDIA H100 80GB HBM3", "gpu_count": 1, "avail_gpu_mem_in_gb": 79}] 2025-09-07T11:16:35.7634921Z DEPENDENCIES: {} 2025-09-07T11:16:35.7635089Z ##[endgroup] 2025-09-07T11:16:35.8093124Z + [[ -n '' ]] 2025-09-07T11:16:35.8093375Z + [[ ! -d test/test-reports ]] 2025-09-07T11:16:35.8093655Z + [[ false == \t\r\u\e ]] 2025-09-07T11:16:35.8096541Z + python3 /home/grace/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1757243793, "schema_version": "v3", "name": "test-weekly / test (inductor_huggingface_perf_cuda_h100, 1, 5, linux.aws.h100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525296438, "run_attempt": 1, "job_id": 49775781830}' --runners '[{"cpu_info": "x86_64", "cpu_count": 192, "avail_mem_in_gb": 1999, "extra_info": {"hostname": "abe47d1c7e02"}, "name": "cuda", "type": "NVIDIA H100 80GB HBM3", "gpu_count": 1, "avail_gpu_mem_in_gb": 79}]' --dependencies '{}' 2025-09-07T11:16:35.9328173Z INFO:root:Upload test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:16:35.9721125Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T11:16:36.1572670Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T11:16:36.2866652Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:16:36.4161439Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json 2025-09-07T11:16:36.5068391Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T11:16:36.6123393Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T11:16:36.6944493Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance.json 2025-09-07T11:16:36.7908736Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance.json 2025-09-07T11:16:36.8960009Z INFO:root:Upload test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_export_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T11:16:36.9778903Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance.json 2025-09-07T11:16:37.0787812Z INFO:root:Upload test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T11:16:37.1792300Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T11:16:37.2651438Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T11:16:37.3596329Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_dynamic_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:16:37.4895029Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_dynamic_huggingface_amp_training_cuda_h100_performance.json 2025-09-07T11:16:37.5597760Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_max_autotune_huggingface_amp_training_cuda_h100_accuracy.json 2025-09-07T11:16:37.6518889Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T11:16:37.7451844Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json 2025-09-07T11:16:37.8288929Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T11:16:37.9211411Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T11:16:38.0121923Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T11:16:38.0984900Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T11:16:38.2003264Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:16:38.3045533Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T11:16:38.3984696Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:16:38.5012508Z INFO:root:Upload test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_dynamic_huggingface_amp_training_cuda_h100_accuracy.json 2025-09-07T11:16:38.5978736Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:16:38.7035000Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T11:16:38.7960826Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T11:16:38.8880469Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:16:39.0068997Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:16:39.1250640Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:16:39.2388811Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:16:39.3402423Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance.json 2025-09-07T11:16:39.4335933Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:16:39.5456470Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_accuracy.json 2025-09-07T11:16:39.6363266Z INFO:root:Upload test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:16:39.7636386Z INFO:root:Upload test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T11:16:39.8648346Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:16:39.9806948Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781830/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json 2025-09-07T11:16:40.1183641Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T11:16:40.1183999Z cat test/**/*_toprint.log || true 2025-09-07T11:16:40.1199889Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:16:40.1200199Z env: 2025-09-07T11:16:40.1200363Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:40.1200617Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:40.1200942Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:40.1201396Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:40.1201761Z DEVICE_NAME: 2025-09-07T11:16:40.1201932Z DEVICE_TYPE: 2025-09-07T11:16:40.1202084Z ##[endgroup] 2025-09-07T11:16:40.1727829Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T11:16:40.2112500Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T11:16:40.2112834Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T11:16:40.2127712Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:16:40.2127996Z env: 2025-09-07T11:16:40.2128168Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:40.2128426Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:40.2128916Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:40.2129340Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:40.2129702Z DEVICE_NAME: 2025-09-07T11:16:40.2129877Z DEVICE_TYPE: 2025-09-07T11:16:40.2130049Z MONITOR_SCRIPT_PID: 8887 2025-09-07T11:16:40.2130231Z ##[endgroup] 2025-09-07T11:16:40.2686355Z Prepare all required actions 2025-09-07T11:16:40.2686757Z Getting action download info 2025-09-07T11:16:40.4029327Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T11:16:41.0066603Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T11:16:42.1139974Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T11:16:42.1140258Z with: 2025-09-07T11:16:42.1140552Z file-suffix: test-inductor_huggingface_perf_cuda_h100-1-5-linux.aws.h100_49775781830 2025-09-07T11:16:42.1140912Z s3-bucket: gha-artifacts 2025-09-07T11:16:42.1141090Z env: 2025-09-07T11:16:42.1141239Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:42.1141477Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:42.1141799Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:42.1142247Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:42.1142612Z DEVICE_NAME: 2025-09-07T11:16:42.1142767Z DEVICE_TYPE: 2025-09-07T11:16:42.1142923Z ##[endgroup] 2025-09-07T11:16:42.2074072Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T11:16:42.2074473Z # Remove any previous test jsons if they exist 2025-09-07T11:16:42.2074790Z rm -f test-jsons-*.zip 2025-09-07T11:16:42.2075154Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T11:16:42.2090957Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:16:42.2091235Z env: 2025-09-07T11:16:42.2091406Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:42.2091648Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:42.2091970Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:42.2092397Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:42.2092761Z DEVICE_NAME: 2025-09-07T11:16:42.2092923Z DEVICE_TYPE: 2025-09-07T11:16:42.2093218Z FILE_SUFFIX: test-inductor_huggingface_perf_cuda_h100-1-5-linux.aws.h100_49775781830 2025-09-07T11:16:42.2093560Z ##[endgroup] 2025-09-07T11:16:42.2586551Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:16:42.2607397Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T11:16:42.2666016Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:16:42.2680187Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T11:16:42.2701004Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T11:16:42.2714886Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T11:16:42.2735786Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T11:16:42.2756495Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T11:16:42.2770574Z adding: test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T11:16:42.2791407Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T11:16:42.2803574Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T11:16:42.2818069Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T11:16:42.2831983Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T11:16:42.2899967Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:16:42.2920990Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T11:16:42.2931324Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T11:16:42.2952008Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T11:16:42.2962672Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T11:16:42.2983315Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T11:16:42.2997485Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T11:16:42.3011698Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T11:16:42.3025549Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T11:16:42.3094926Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:16:42.3115280Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T11:16:42.3180082Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:16:42.3190519Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T11:16:42.3247684Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:16:42.3268176Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T11:16:42.3282124Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T11:16:42.3335431Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:16:42.3402625Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:16:42.3467995Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:16:42.3531829Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:16:42.3552723Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T11:16:42.3610583Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:16:42.3624569Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T11:16:42.3702563Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:16:42.3720699Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T11:16:42.3776370Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:16:42.3796886Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T11:16:42.4157757Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T11:16:42.4158181Z # Remove any previous test reports if they exist 2025-09-07T11:16:42.4158486Z rm -f test-reports-*.zip 2025-09-07T11:16:42.4158840Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T11:16:42.4174069Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:16:42.4174360Z env: 2025-09-07T11:16:42.4174601Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:42.4174848Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:42.4175187Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:42.4175614Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:42.4175979Z DEVICE_NAME: 2025-09-07T11:16:42.4176148Z DEVICE_TYPE: 2025-09-07T11:16:42.4176439Z FILE_SUFFIX: test-inductor_huggingface_perf_cuda_h100-1-5-linux.aws.h100_49775781830 2025-09-07T11:16:42.4176787Z ##[endgroup] 2025-09-07T11:16:42.4676449Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:16:42.4678205Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:16:42.4679589Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:16:42.4680485Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance.csv (deflated 47%) 2025-09-07T11:16:42.4681329Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T11:16:42.4682192Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T11:16:42.4683061Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T11:16:42.4683937Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance.csv (deflated 47%) 2025-09-07T11:16:42.4684758Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T11:16:42.4685639Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:16:42.4686612Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:16:42.4687803Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T11:16:42.4688636Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 55%) 2025-09-07T11:16:42.4689381Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 62%) 2025-09-07T11:16:42.4690121Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_accuracy.csv (deflated 45%) 2025-09-07T11:16:42.4690981Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T11:16:42.4691961Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:16:42.4692774Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.csv (deflated 51%) 2025-09-07T11:16:42.4693574Z adding: test/test-reports/inductor_max_autotune_huggingface_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:16:42.4694570Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T11:16:42.4695395Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_accuracy.csv (deflated 51%) 2025-09-07T11:16:42.4696226Z adding: test/test-reports/inductor_max_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 52%) 2025-09-07T11:16:42.4697082Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_accuracy.csv (deflated 45%) 2025-09-07T11:16:42.4698000Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance.csv (deflated 47%) 2025-09-07T11:16:42.4698704Z adding: test/test-reports/inductor_aot_inductor_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 50%) 2025-09-07T11:16:42.4699343Z adding: test/test-reports/inductor_dynamic_huggingface_amp_training_cuda_h100_performance.csv (deflated 47%) 2025-09-07T11:16:42.4699984Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T11:16:42.4700823Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T11:16:42.4701567Z adding: test/test-reports/inductor_cudagraphs_low_precision_huggingface_quant_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T11:16:42.4702290Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T11:16:42.4703000Z adding: test/test-reports/inductor_cudagraphs_low_precision_huggingface_quant_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T11:16:42.4703728Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T11:16:42.4704493Z adding: test/test-reports/inductor_dynamic_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:16:42.4705215Z adding: test/test-reports/inductor_no_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T11:16:42.4706010Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 52%) 2025-09-07T11:16:42.4706847Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:16:42.4707680Z adding: test/test-reports/inductor_export_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 55%) 2025-09-07T11:16:42.4708420Z adding: test/test-reports/inductor_with_cudagraphs_freezing_huggingface_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T11:16:42.4709195Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T11:16:42.4709916Z adding: test/test-reports/inductor_with_cudagraphs_huggingface_amp_training_cuda_h100_accuracy.csv (deflated 45%) 2025-09-07T11:16:42.4710561Z adding: test/test-reports/inductor_cpp_wrapper_huggingface_amp_training_cuda_h100_performance.csv (deflated 47%) 2025-09-07T11:16:42.4711381Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_huggingface_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T11:16:42.5088091Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T11:16:42.5088437Z # Remove any previous usage logs if they exist 2025-09-07T11:16:42.5088883Z rm -f logs-*.zip 2025-09-07T11:16:42.5089152Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T11:16:42.5089535Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T11:16:42.5104047Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:16:42.5104335Z env: 2025-09-07T11:16:42.5104496Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:42.5104740Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:42.5105074Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:42.5105496Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:42.5105870Z DEVICE_NAME: 2025-09-07T11:16:42.5106034Z DEVICE_TYPE: 2025-09-07T11:16:42.5106321Z FILE_SUFFIX: test-inductor_huggingface_perf_cuda_h100-1-5-linux.aws.h100_49775781830 2025-09-07T11:16:42.5106662Z ##[endgroup] 2025-09-07T11:16:42.5692285Z adding: usage_log.txt (deflated 91%) 2025-09-07T11:16:42.5707640Z 2025-09-07T11:16:42.5707981Z zip error: Nothing to do! (logs-test-inductor_huggingface_perf_cuda_h100-1-5-linux.aws.h100_49775781830.zip) 2025-09-07T11:16:42.6497938Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T11:16:42.6498331Z # Remove any previous debugging artifacts if they exist 2025-09-07T11:16:42.6498632Z rm -f debug-*.zip 2025-09-07T11:16:42.6498848Z if [ -d 'test/debug' ]; then 2025-09-07T11:16:42.6499227Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T11:16:42.6499480Z fi 2025-09-07T11:16:42.6513658Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:16:42.6513952Z env: 2025-09-07T11:16:42.6514111Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:42.6514357Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:42.6514683Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:42.6515111Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:42.6515470Z DEVICE_NAME: 2025-09-07T11:16:42.6515631Z DEVICE_TYPE: 2025-09-07T11:16:42.6515927Z FILE_SUFFIX: test-inductor_huggingface_perf_cuda_h100-1-5-linux.aws.h100_49775781830 2025-09-07T11:16:42.6516265Z ##[endgroup] 2025-09-07T11:16:42.7912999Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T11:16:42.7913280Z with: 2025-09-07T11:16:42.7913479Z s3-bucket: gha-artifacts 2025-09-07T11:16:42.7913763Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T11:16:42.7914056Z retention-days: 14 2025-09-07T11:16:42.7914264Z if-no-files-found: warn 2025-09-07T11:16:42.7914490Z path: test-jsons-*.zip 2025-09-07T11:16:42.7914707Z name: artifact 2025-09-07T11:16:42.7914900Z region: us-east-1 2025-09-07T11:16:42.7915084Z env: 2025-09-07T11:16:42.7915262Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:42.7915560Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:42.7916029Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:42.7916543Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:42.7917003Z DEVICE_NAME: 2025-09-07T11:16:42.7917210Z DEVICE_TYPE: 2025-09-07T11:16:42.7917558Z ##[endgroup] 2025-09-07T11:16:43.0830198Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T11:16:43.0830589Z With the provided path, there will be 1 file uploaded 2025-09-07T11:16:43.0830989Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T11:16:43.0839318Z Starting upload of test-jsons-test-inductor_huggingface_perf_cuda_h100-1-5-linux.aws.h100_49775781830.zip 2025-09-07T11:16:43.2166748Z Finished upload of test-jsons-test-inductor_huggingface_perf_cuda_h100-1-5-linux.aws.h100_49775781830.zip 2025-09-07T11:16:43.2659299Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T11:16:43.2659554Z with: 2025-09-07T11:16:43.2659717Z s3-bucket: gha-artifacts 2025-09-07T11:16:43.2660150Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T11:16:43.2660429Z retention-days: 14 2025-09-07T11:16:43.2660614Z if-no-files-found: error 2025-09-07T11:16:43.2660815Z path: test-reports-*.zip 2025-09-07T11:16:43.2661002Z name: artifact 2025-09-07T11:16:43.2661171Z region: us-east-1 2025-09-07T11:16:43.2661343Z env: 2025-09-07T11:16:43.2661500Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:43.2661747Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:43.2662112Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:43.2662558Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:43.2662940Z DEVICE_NAME: 2025-09-07T11:16:43.2663102Z DEVICE_TYPE: 2025-09-07T11:16:43.2663264Z ##[endgroup] 2025-09-07T11:16:43.5579931Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T11:16:43.5580275Z With the provided path, there will be 1 file uploaded 2025-09-07T11:16:43.5580622Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T11:16:43.5588869Z Starting upload of test-reports-test-inductor_huggingface_perf_cuda_h100-1-5-linux.aws.h100_49775781830.zip 2025-09-07T11:16:43.6804271Z Finished upload of test-reports-test-inductor_huggingface_perf_cuda_h100-1-5-linux.aws.h100_49775781830.zip 2025-09-07T11:16:43.7431990Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T11:16:43.7432294Z with: 2025-09-07T11:16:43.7432669Z s3-bucket: gha-artifacts 2025-09-07T11:16:43.7432955Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T11:16:43.7433256Z retention-days: 14 2025-09-07T11:16:43.7433485Z if-no-files-found: ignore 2025-09-07T11:16:43.7433720Z path: logs-*.zip 2025-09-07T11:16:43.7433922Z name: artifact 2025-09-07T11:16:43.7434113Z region: us-east-1 2025-09-07T11:16:43.7434305Z env: 2025-09-07T11:16:43.7434482Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:43.7434794Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:43.7435184Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:43.7435710Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:43.7436149Z DEVICE_NAME: 2025-09-07T11:16:43.7436342Z DEVICE_TYPE: 2025-09-07T11:16:43.7436526Z ##[endgroup] 2025-09-07T11:16:44.0461611Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T11:16:44.0461966Z With the provided path, there will be 1 file uploaded 2025-09-07T11:16:44.0462320Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T11:16:44.0470926Z Starting upload of logs-test-inductor_huggingface_perf_cuda_h100-1-5-linux.aws.h100_49775781830.zip 2025-09-07T11:16:44.1593329Z Finished upload of logs-test-inductor_huggingface_perf_cuda_h100-1-5-linux.aws.h100_49775781830.zip 2025-09-07T11:16:44.2161839Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T11:16:44.2162087Z with: 2025-09-07T11:16:44.2162270Z s3-bucket: gha-artifacts 2025-09-07T11:16:44.2162521Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T11:16:44.2162788Z retention-days: 14 2025-09-07T11:16:44.2162975Z if-no-files-found: ignore 2025-09-07T11:16:44.2163188Z path: debug-*.zip 2025-09-07T11:16:44.2163361Z name: artifact 2025-09-07T11:16:44.2163528Z region: us-east-1 2025-09-07T11:16:44.2163693Z env: 2025-09-07T11:16:44.2163863Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:44.2164121Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:44.2164471Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:44.2164916Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:44.2165459Z DEVICE_NAME: 2025-09-07T11:16:44.2165635Z DEVICE_TYPE: 2025-09-07T11:16:44.2165804Z ##[endgroup] 2025-09-07T11:16:44.5094355Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T11:16:44.5525539Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T11:16:44.5525870Z # shellcheck disable=SC2156 2025-09-07T11:16:44.5526348Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T11:16:44.5542330Z shell: /usr/bin/bash -e {0} 2025-09-07T11:16:44.5542539Z env: 2025-09-07T11:16:44.5542702Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:44.5542951Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:44.5543294Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:44.5543726Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:44.5544103Z DEVICE_NAME: 2025-09-07T11:16:44.5544274Z DEVICE_TYPE: 2025-09-07T11:16:44.5544430Z ##[endgroup] 2025-09-07T11:16:45.2627015Z Prepare all required actions 2025-09-07T11:16:45.2627518Z Getting action download info 2025-09-07T11:16:45.4235573Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T11:16:45.4235848Z with: 2025-09-07T11:16:45.4236004Z job_id: 49775781830 2025-09-07T11:16:45.4236337Z job_name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 1, 5, linux.aws.h100) 2025-09-07T11:16:45.4236733Z workflow_name: inductor-perf-nightly-h100 2025-09-07T11:16:45.4236985Z workflow_run_id: 17525296438 2025-09-07T11:16:45.4237186Z workflow_attempt: 1 2025-09-07T11:16:45.4237539Z env: 2025-09-07T11:16:45.4237694Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:45.4238092Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:45.4238428Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:45.4238870Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:45.4239237Z DEVICE_NAME: 2025-09-07T11:16:45.4239424Z DEVICE_TYPE: 2025-09-07T11:16:45.4239581Z ##[endgroup] 2025-09-07T11:16:45.5188836Z ##[group]Run echo "workflow_id: 17525296438" 2025-09-07T11:16:45.5189129Z echo "workflow_id: 17525296438" 2025-09-07T11:16:45.5189392Z echo "workflow_attempt: 1" 2025-09-07T11:16:45.5189704Z echo "workflow_Name: inductor-perf-nightly-h100" 2025-09-07T11:16:45.5190018Z echo "job_id: 49775781830" 2025-09-07T11:16:45.5190434Z echo "job_name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 1, 5, linux.aws.h100)" 2025-09-07T11:16:45.5190878Z echo "artifact_prefix: " 2025-09-07T11:16:45.5191123Z python3 --version 2025-09-07T11:16:45.5206302Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:16:45.5206586Z env: 2025-09-07T11:16:45.5206750Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:45.5206999Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:45.5207483Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:45.5207913Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:45.5208289Z DEVICE_NAME: 2025-09-07T11:16:45.5208449Z DEVICE_TYPE: 2025-09-07T11:16:45.5208603Z ##[endgroup] 2025-09-07T11:16:45.5683062Z workflow_id: 17525296438 2025-09-07T11:16:45.5683277Z workflow_attempt: 1 2025-09-07T11:16:45.5683498Z workflow_Name: inductor-perf-nightly-h100 2025-09-07T11:16:45.5683742Z job_id: 49775781830 2025-09-07T11:16:45.5684062Z job_name: test-weekly / test (inductor_huggingface_perf_cuda_h100, 1, 5, linux.aws.h100) 2025-09-07T11:16:45.5684431Z artifact_prefix: 2025-09-07T11:16:45.5700147Z Python 3.10.12 2025-09-07T11:16:45.6613663Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T11:16:45.6613890Z with: 2025-09-07T11:16:45.6614198Z shell: bash 2025-09-07T11:16:45.6614359Z timeout_minutes: 5 2025-09-07T11:16:45.6614615Z max_attempts: 5 2025-09-07T11:16:45.6614783Z retry_wait_seconds: 30 2025-09-07T11:16:45.6615184Z command: set -eu python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7 2025-09-07T11:16:45.6615622Z polling_interval_seconds: 1 2025-09-07T11:16:45.6615826Z warning_on_retry: true 2025-09-07T11:16:45.6616010Z continue_on_error: false 2025-09-07T11:16:45.6616185Z env: 2025-09-07T11:16:45.6616331Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:16:45.6616566Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:16:45.6616909Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:16:45.6617488Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:16:45.6617878Z DEVICE_NAME: 2025-09-07T11:16:45.6618086Z DEVICE_TYPE: 2025-09-07T11:16:45.6618253Z ##[endgroup] 2025-09-07T11:16:46.0072141Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T11:16:46.4519678Z Collecting python-dateutil==2.8.2 2025-09-07T11:16:46.4876845Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T11:16:46.8172914Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 247.7/247.7 KB 726.8 kB/s eta 0:00:00 2025-09-07T11:16:47.8130692Z Collecting boto3==1.35.42 2025-09-07T11:16:47.8172349Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T11:16:47.9503075Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.2/139.2 KB 995.5 kB/s eta 0:00:00 2025-09-07T11:16:48.5307159Z Collecting pandas==2.1.3 2025-09-07T11:16:48.5356801Z Downloading pandas-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T11:16:49.1581132Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.3/12.3 MB 16.8 MB/s eta 0:00:00 2025-09-07T11:16:49.1985860Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/grace/.local/lib/python3.10/site-packages (0.6.7) 2025-09-07T11:16:49.2001952Z Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil==2.8.2) (1.16.0) 2025-09-07T11:16:49.2046557Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/grace/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.35.99) 2025-09-07T11:16:49.2051537Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/grace/.local/lib/python3.10/site-packages (from boto3==1.35.42) (0.10.4) 2025-09-07T11:16:49.2055950Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /home/grace/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.0.1) 2025-09-07T11:16:49.9912632Z Collecting numpy<2,>=1.22.4 2025-09-07T11:16:49.9950976Z Downloading numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T11:16:50.6061158Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 18.2/18.2 MB 17.9 MB/s eta 0:00:00 2025-09-07T11:16:50.9843208Z Collecting tzdata>=2022.1 2025-09-07T11:16:50.9886992Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T11:16:51.4364214Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 347.8/347.8 KB 760.1 kB/s eta 0:00:00 2025-09-07T11:16:51.9483911Z Collecting pytz>=2020.1 2025-09-07T11:16:51.9516435Z Downloading pytz-2025.2-py2.py3-none-any.whl (509 kB) 2025-09-07T11:16:52.0353720Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 509.2/509.2 KB 6.1 MB/s eta 0:00:00 2025-09-07T11:16:52.0426035Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/grace/.local/lib/python3.10/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-09-07T11:16:52.0436190Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/grace/.local/lib/python3.10/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-09-07T11:16:52.0490368Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.26.5) 2025-09-07T11:16:52.0604264Z Requirement already satisfied: packaging>=17.0 in /home/grace/.local/lib/python3.10/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-09-07T11:16:52.0704213Z Requirement already satisfied: typing-extensions>=3.7.4 in 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boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 pytz-2025.2 tzdata-2025.2 2025-09-07T11:17:00.7459635Z Command completed after 1 attempt(s). 2025-09-07T11:17:00.7883942Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T11:17:00.7886903Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T11:17:00.7887519Z  --workflow-run-id "17525296438" \ 2025-09-07T11:17:00.7887825Z  --workflow-name "inductor-perf-nightly-h100" \ 2025-09-07T11:17:00.7888124Z  --workflow-run-attempt "1" \ 2025-09-07T11:17:00.7888368Z  --job-id "49775781830" \ 2025-09-07T11:17:00.7888928Z  --job-name "test-weekly / test (inductor_huggingface_perf_cuda_h100, 1, 5, linux.aws.h100)" \ 2025-09-07T11:17:00.7889326Z  --local-path "" \ 2025-09-07T11:17:00.7889542Z  --artifact-prefix "" 2025-09-07T11:17:00.7905144Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:17:00.7905445Z env: 2025-09-07T11:17:00.7905614Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:17:00.7905857Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:17:00.7906204Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5233 2025-09-07T11:17:00.7906646Z DOCKER_CONTAINER_ID: fc634f5d2db473b40746e7a4a9cd2f8cce5231fb4a9ec38706b5ca37549721e1 2025-09-07T11:17:00.7907017Z DEVICE_NAME: 2025-09-07T11:17:00.7907173Z DEVICE_TYPE: 2025-09-07T11:17:00.7907488Z ##[endgroup] 2025-09-07T11:17:02.7334702Z repo: pytorch/pytorch 2025-09-07T11:17:02.7335797Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T11:17:02.7337057Z Downloading logs-test-inductor_huggingface_perf_cuda_h100-1-5-linux.aws.h100_49775781830.zip 2025-09-07T11:17:02.7338794Z extracting usage_log.txt from zip file logs-test-inductor_huggingface_perf_cuda_h100-1-5-linux.aws.h100_49775781830.zip 2025-09-07T11:17:02.7340771Z Converted Log Model: UtilizationMetadata: 2025-09-07T11:17:02.7343098Z UtilizationMetadata(level='metadata', workflow_id='17525296438', job_id='49775781830', workflow_name='inductor-perf-nightly-h100', job_name='test-weekly / test (inductor_huggingface_perf_cuda_h100, 1, 5, linux.aws.h100)', usage_collect_interval=4.0, data_model_version=1.5, start_at=1757233070, gpu_count=1, cpu_count=192, gpu_type='pynvml', error=None) 2025-09-07T11:17:02.7345085Z [Db Segments] detected pytest cmd: 4, generated segments: 4 2025-09-07T11:17:02.7345621Z [db model] Peek db timeseries 2025-09-07T11:17:02.7345947Z :{ 2025-09-07T11:17:02.7358503Z "created_at": 1757243822, 2025-09-07T11:17:02.7358755Z "type": "utilization", 2025-09-07T11:17:02.7358965Z "tags": [ 2025-09-07T11:17:02.7359115Z "record" 2025-09-07T11:17:02.7359281Z ], 2025-09-07T11:17:02.7359442Z "time_stamp": 1757233070, 2025-09-07T11:17:02.7359668Z "repo": "pytorch/pytorch", 2025-09-07T11:17:02.7359877Z "workflow_id": 17525296438, 2025-09-07T11:17:02.7360084Z "run_attempt": 1, 2025-09-07T11:17:02.7360282Z "job_id": 49775781830, 2025-09-07T11:17:02.7360517Z "workflow_name": "inductor-perf-nightly-h100", 2025-09-07T11:17:02.7360911Z "job_name": "test-weekly / test (inductor_huggingface_perf_cuda_h100, 1, 5, linux.aws.h100)", 2025-09-07T11:17:02.7361270Z "json_data": "{}" 2025-09-07T11:17:02.7361440Z } 2025-09-07T11:17:02.7361800Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525296438/1/49775781830/metadata 2025-09-07T11:17:02.7362461Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525296438/1/49775781830/metadata 2025-09-07T11:17:02.7363150Z Writing 710 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525296438/1/49775781830/time_series 2025-09-07T11:17:02.7363855Z Done! 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http.https://github.com/.extraheader 2025-09-07T11:17:03.9863444Z Entering 'third_party/composable_kernel' 2025-09-07T11:17:03.9890676Z http.https://github.com/.extraheader 2025-09-07T11:17:04.0352704Z Entering 'third_party/cpp-httplib' 2025-09-07T11:17:04.0380770Z http.https://github.com/.extraheader 2025-09-07T11:17:04.0759428Z Entering 'third_party/cpuinfo' 2025-09-07T11:17:04.0786912Z http.https://github.com/.extraheader 2025-09-07T11:17:04.1238305Z Entering 'third_party/cudnn_frontend' 2025-09-07T11:17:04.1266706Z http.https://github.com/.extraheader 2025-09-07T11:17:04.1706646Z Entering 'third_party/cutlass' 2025-09-07T11:17:04.1734073Z http.https://github.com/.extraheader 2025-09-07T11:17:04.2210745Z Entering 'third_party/fbgemm' 2025-09-07T11:17:04.2239617Z http.https://github.com/.extraheader 2025-09-07T11:17:04.2683061Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T11:17:04.2710549Z http.https://github.com/.extraheader 2025-09-07T11:17:04.3096704Z Entering 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'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T11:17:04.6389140Z http.https://github.com/.extraheader 2025-09-07T11:17:04.6783152Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T11:17:04.6812699Z http.https://github.com/.extraheader 2025-09-07T11:17:04.7271621Z Entering 'third_party/flatbuffers' 2025-09-07T11:17:04.7301622Z http.https://github.com/.extraheader 2025-09-07T11:17:04.7740685Z Entering 'third_party/fmt' 2025-09-07T11:17:04.7769012Z http.https://github.com/.extraheader 2025-09-07T11:17:04.8101920Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T11:17:04.8129874Z http.https://github.com/.extraheader 2025-09-07T11:17:04.8596480Z Entering 'third_party/gloo' 2025-09-07T11:17:04.8626165Z http.https://github.com/.extraheader 2025-09-07T11:17:04.8889455Z Entering 'third_party/googletest' 2025-09-07T11:17:04.8918243Z http.https://github.com/.extraheader 2025-09-07T11:17:04.9371156Z Entering 'third_party/ideep' 2025-09-07T11:17:04.9399169Z http.https://github.com/.extraheader 2025-09-07T11:17:04.9845203Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T11:17:04.9872329Z http.https://github.com/.extraheader 2025-09-07T11:17:05.0248453Z Entering 'third_party/ittapi' 2025-09-07T11:17:05.0276119Z http.https://github.com/.extraheader 2025-09-07T11:17:05.0720855Z Entering 'third_party/kineto' 2025-09-07T11:17:05.0751170Z http.https://github.com/.extraheader 2025-09-07T11:17:05.1202086Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T11:17:05.1229918Z http.https://github.com/.extraheader 2025-09-07T11:17:05.1615945Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T11:17:05.1644971Z http.https://github.com/.extraheader 2025-09-07T11:17:05.2122450Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T11:17:05.2148602Z http.https://github.com/.extraheader 2025-09-07T11:17:05.2601628Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T11:17:05.2631343Z http.https://github.com/.extraheader 2025-09-07T11:17:05.3020486Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T11:17:05.3048372Z http.https://github.com/.extraheader 2025-09-07T11:17:05.3448722Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T11:17:05.3476608Z http.https://github.com/.extraheader 2025-09-07T11:17:05.3933053Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T11:17:05.3966040Z http.https://github.com/.extraheader 2025-09-07T11:17:05.4409654Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T11:17:05.4435576Z http.https://github.com/.extraheader 2025-09-07T11:17:05.4892727Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T11:17:05.4922114Z http.https://github.com/.extraheader 2025-09-07T11:17:05.5296851Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T11:17:05.5323088Z http.https://github.com/.extraheader 2025-09-07T11:17:05.5778459Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T11:17:05.5807624Z http.https://github.com/.extraheader 2025-09-07T11:17:05.6253566Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T11:17:05.6280830Z http.https://github.com/.extraheader 2025-09-07T11:17:05.6673850Z Entering 'third_party/kleidiai' 2025-09-07T11:17:05.6707445Z http.https://github.com/.extraheader 2025-09-07T11:17:05.7156038Z Entering 'third_party/mimalloc' 2025-09-07T11:17:05.7184059Z http.https://github.com/.extraheader 2025-09-07T11:17:05.7637014Z Entering 'third_party/nlohmann' 2025-09-07T11:17:05.7665053Z http.https://github.com/.extraheader 2025-09-07T11:17:05.8026437Z Entering 'third_party/onnx' 2025-09-07T11:17:05.8054215Z http.https://github.com/.extraheader 2025-09-07T11:17:05.8521428Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T11:17:05.8550275Z http.https://github.com/.extraheader 2025-09-07T11:17:05.8994480Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T11:17:05.9022533Z http.https://github.com/.extraheader 2025-09-07T11:17:05.9465680Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T11:17:05.9492476Z http.https://github.com/.extraheader 2025-09-07T11:17:05.9938135Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T11:17:05.9966724Z http.https://github.com/.extraheader 2025-09-07T11:17:06.0283124Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T11:17:06.0316306Z http.https://github.com/.extraheader 2025-09-07T11:17:06.0767852Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T11:17:06.0798381Z http.https://github.com/.extraheader 2025-09-07T11:17:06.1189762Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T11:17:06.1218048Z http.https://github.com/.extraheader 2025-09-07T11:17:06.1624005Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T11:17:06.1650385Z http.https://github.com/.extraheader 2025-09-07T11:17:06.2100818Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T11:17:06.2128441Z http.https://github.com/.extraheader 2025-09-07T11:17:06.2582587Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T11:17:06.2610260Z http.https://github.com/.extraheader 2025-09-07T11:17:06.3001692Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T11:17:06.3027623Z http.https://github.com/.extraheader 2025-09-07T11:17:06.3484416Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T11:17:06.3512797Z http.https://github.com/.extraheader 2025-09-07T11:17:06.3972807Z Entering 'third_party/pocketfft' 2025-09-07T11:17:06.4004106Z http.https://github.com/.extraheader 2025-09-07T11:17:06.5646228Z Entering 'third_party/protobuf' 2025-09-07T11:17:06.5677784Z http.https://github.com/.extraheader 2025-09-07T11:17:06.5721100Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T11:17:06.5748132Z http.https://github.com/.extraheader 2025-09-07T11:17:06.5782348Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T11:17:06.5808289Z http.https://github.com/.extraheader 2025-09-07T11:17:06.5846390Z Entering 'third_party/psimd' 2025-09-07T11:17:06.5877760Z http.https://github.com/.extraheader 2025-09-07T11:17:06.5917477Z Entering 'third_party/pthreadpool' 2025-09-07T11:17:06.5946460Z http.https://github.com/.extraheader 2025-09-07T11:17:06.5983439Z Entering 'third_party/pybind11' 2025-09-07T11:17:06.6012356Z http.https://github.com/.extraheader 2025-09-07T11:17:06.6049236Z Entering 'third_party/python-peachpy' 2025-09-07T11:17:06.6079011Z http.https://github.com/.extraheader 2025-09-07T11:17:06.6116551Z Entering 'third_party/sleef' 2025-09-07T11:17:06.6144182Z http.https://github.com/.extraheader 2025-09-07T11:17:06.6184171Z Entering 'third_party/tensorpipe' 2025-09-07T11:17:06.6212804Z http.https://github.com/.extraheader 2025-09-07T11:17:06.6248528Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T11:17:06.6278243Z http.https://github.com/.extraheader 2025-09-07T11:17:06.6317084Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T11:17:06.6342974Z http.https://github.com/.extraheader 2025-09-07T11:17:06.6377812Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T11:17:06.6403838Z http.https://github.com/.extraheader 2025-09-07T11:17:06.6438933Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T11:17:06.6464480Z http.https://github.com/.extraheader 2025-09-07T11:17:06.6497651Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T11:17:06.6525948Z http.https://github.com/.extraheader 2025-09-07T11:17:06.6706270Z Post job cleanup. 2025-09-07T11:17:06.7598751Z [command]/usr/bin/git version 2025-09-07T11:17:06.7638201Z git version 2.51.0 2025-09-07T11:17:06.7676800Z Temporarily overriding HOME='/home/grace/_work/_temp/c6f8f375-edd1-425f-8774-26c85be18e94' before making global git config changes 2025-09-07T11:17:06.7677913Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T11:17:06.7681304Z [command]/usr/bin/git config --global --add safe.directory /home/grace/_work/pytorch/pytorch 2025-09-07T11:17:06.7723485Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T11:17:06.7759191Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T11:17:06.8028730Z Entering 'android/libs/fbjni' 2025-09-07T11:17:06.8078956Z Entering 'third_party/FP16' 2025-09-07T11:17:06.8127162Z Entering 'third_party/FXdiv' 2025-09-07T11:17:06.8175368Z Entering 'third_party/NNPACK' 2025-09-07T11:17:06.8223883Z Entering 'third_party/NVTX' 2025-09-07T11:17:06.8273193Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T11:17:06.8322313Z Entering 'third_party/XNNPACK' 2025-09-07T11:17:06.8385312Z Entering 'third_party/aiter' 2025-09-07T11:17:06.8434342Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T11:17:06.8493832Z Entering 'third_party/benchmark' 2025-09-07T11:17:06.8543018Z Entering 'third_party/composable_kernel' 2025-09-07T11:17:06.8599328Z Entering 'third_party/cpp-httplib' 2025-09-07T11:17:06.8647988Z Entering 'third_party/cpuinfo' 2025-09-07T11:17:06.8697461Z Entering 'third_party/cudnn_frontend' 2025-09-07T11:17:06.8746177Z Entering 'third_party/cutlass' 2025-09-07T11:17:06.8803041Z Entering 'third_party/fbgemm' 2025-09-07T11:17:06.8853921Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T11:17:06.8903090Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T11:17:06.8958164Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T11:17:06.9006620Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T11:17:06.9064214Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T11:17:06.9111124Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T11:17:06.9159255Z Entering 'third_party/fbgemm/external/json' 2025-09-07T11:17:06.9209956Z Entering 'third_party/flash-attention' 2025-09-07T11:17:06.9258517Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T11:17:06.9310787Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T11:17:06.9367608Z Entering 'third_party/flatbuffers' 2025-09-07T11:17:06.9418862Z Entering 'third_party/fmt' 2025-09-07T11:17:06.9467635Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T11:17:06.9516750Z Entering 'third_party/gloo' 2025-09-07T11:17:06.9565376Z Entering 'third_party/googletest' 2025-09-07T11:17:06.9614549Z Entering 'third_party/ideep' 2025-09-07T11:17:06.9661705Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T11:17:06.9716885Z Entering 'third_party/ittapi' 2025-09-07T11:17:06.9765931Z Entering 'third_party/kineto' 2025-09-07T11:17:06.9813585Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T11:17:06.9860598Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T11:17:06.9909429Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T11:17:06.9955705Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T11:17:07.0002356Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T11:17:07.0047830Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T11:17:07.0100751Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T11:17:07.0146821Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T11:17:07.0193220Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T11:17:07.0240041Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T11:17:07.0288877Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T11:17:07.0339084Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T11:17:07.0388310Z Entering 'third_party/kleidiai' 2025-09-07T11:17:07.0438613Z Entering 'third_party/mimalloc' 2025-09-07T11:17:07.0486870Z Entering 'third_party/nlohmann' 2025-09-07T11:17:07.0537412Z Entering 'third_party/onnx' 2025-09-07T11:17:07.0601518Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T11:17:07.0654531Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T11:17:07.0704508Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T11:17:07.0752373Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T11:17:07.0798399Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T11:17:07.0844525Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T11:17:07.0891502Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T11:17:07.0937006Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T11:17:07.0983037Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T11:17:07.1027524Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T11:17:07.1077842Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T11:17:07.1127118Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T11:17:07.1194394Z Entering 'third_party/pocketfft' 2025-09-07T11:17:07.1242077Z Entering 'third_party/protobuf' 2025-09-07T11:17:07.1292675Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T11:17:07.1339755Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T11:17:07.1389471Z Entering 'third_party/psimd' 2025-09-07T11:17:07.1438041Z Entering 'third_party/pthreadpool' 2025-09-07T11:17:07.1486253Z Entering 'third_party/pybind11' 2025-09-07T11:17:07.1534953Z Entering 'third_party/python-peachpy' 2025-09-07T11:17:07.1583467Z Entering 'third_party/sleef' 2025-09-07T11:17:07.1632433Z Entering 'third_party/tensorpipe' 2025-09-07T11:17:07.1680704Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T11:17:07.1727707Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T11:17:07.1774687Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T11:17:07.1821079Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T11:17:07.1865220Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T11:17:07.1939582Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T11:17:07.1972125Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T11:17:07.2230371Z Entering 'android/libs/fbjni' 2025-09-07T11:17:07.2280118Z Entering 'third_party/FP16' 2025-09-07T11:17:07.2328358Z Entering 'third_party/FXdiv' 2025-09-07T11:17:07.2376925Z Entering 'third_party/NNPACK' 2025-09-07T11:17:07.2425354Z Entering 'third_party/NVTX' 2025-09-07T11:17:07.2474848Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T11:17:07.2523617Z Entering 'third_party/XNNPACK' 2025-09-07T11:17:07.2586515Z Entering 'third_party/aiter' 2025-09-07T11:17:07.2635083Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T11:17:07.2692593Z Entering 'third_party/benchmark' 2025-09-07T11:17:07.2741872Z Entering 'third_party/composable_kernel' 2025-09-07T11:17:07.2798503Z Entering 'third_party/cpp-httplib' 2025-09-07T11:17:07.2847123Z Entering 'third_party/cpuinfo' 2025-09-07T11:17:07.2896377Z Entering 'third_party/cudnn_frontend' 2025-09-07T11:17:07.2945611Z Entering 'third_party/cutlass' 2025-09-07T11:17:07.3002545Z Entering 'third_party/fbgemm' 2025-09-07T11:17:07.3052980Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T11:17:07.3100468Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T11:17:07.3154154Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T11:17:07.3200587Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T11:17:07.3254170Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T11:17:07.3300453Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T11:17:07.3345766Z 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